战伤病历报告
01-乌克兰中受伤的战斗患者和战争手臂受枪伤
03-Ukraine- Apparent Russian Cluster Munition Attack
02-报告病例俄罗斯-乌克兰战争中四肢血管损伤患者的突发性动脉分流术:病例报告
05-乌克兰-明显的俄罗斯集束弹药攻击_人权观察
06-报告病例俄罗斯-乌克兰战争中四肢血管损伤患者的突发性动脉分流术:病例报告
08-重建的新方法屈肌表面的枪伤缺陷指动脉正常横支对指趾(远端)指骨的影响俄乌战争中战斗伤员1例报告_1_8_translate
08-A new approach for reconstruction of the gunshot defect of the flexor surface of the ungual distal phalanx by the proper transverse branch of the digital artery a case report of combat patient injured in the Russo Ukrainian war
04-乌克兰-集束炸弹造成平民死亡
04-Ukraine- Civilian Deaths from Cluster Munitions
09-利用视频胸腔镜手术和磁性工具从肺中取出铁磁碎片——乌克兰战争中受伤战斗病人一例报告_1_6_translate
09-Retrieval of ferromagnetic fragments from the lung using video-assisted thoracoscopic surgery and magnetic tool a case report of combat patient injured in the war in Ukraine
07-俄乌战争中作战伤员严重肱骨缺损的处理_1_22_translate
07-Management of severe defects of humerus in combat patients injured in Russo-Ukrainian war
11-弹丸碎片化后意外多发腹腔损伤3例报告
11-Unexpected multiple intra-abdominal injuries after projectile fragmentation report of three cases
10-报告病例俄罗斯-乌克兰战争中四肢血管损伤患者的突发性动脉分流术:病例报告
13-通过转化科学过程推进院前大规模伤亡反应的科学研究- T1范围文献综述阶段
13-Advancing the scientific study of prehospital mass casualty response through a Translational Science process- the T1 scoping literature review stage
14-利用视频胸腔镜手术和磁性工具从肺部提取铁磁碎片——乌克兰战争中受伤战斗病人的一例报告
14-Retrieval of ferromagnetic fragments from the lung using video-assisted thoracoscopic surgery and magnetic tool- a case report of combat patient injured in the war in Ukraine
12-ADVANCE-TBI study protocol- traumatic brain injury outcomes in UK military personnel serving in Afghanistan between 2003 and 2014 - a longitudinal cohort study.
12-ADVANCE-TBI研究方案- 2003年至2014年在阿富汗服役的英国军事人员的创伤性脑损伤结果-一项纵向队列研究。
空中作战伤后部队中的一名特种作战候选人:报告案例
行动后战术战斗伤亡护理报告TACTICAL COMBAT CASUALTY CARE AFTER ACTION REPORT (TCCC AAR)
医疗记录补充医疗数据MEDICAL RECORD-SUPPLEMENTAL MEDICAL DATA
战术战斗伤亡护理卡TACTICAL COMBAT CASUALTY CARE(TCCC)CARD
审查2001-2013年国防卫生委员会从军事行动中吸取的战斗创伤教训报告 英文 CTLL Report Update v5
2018-2022 年美国武装部队现役成员的热衰竭和中暑情况
- 电子病历 会议材料
-
+
首页
12-ADVANCE-TBI study protocol- traumatic brain injury outcomes in UK military personnel serving in Afghanistan between 2003 and 2014 - a longitudinal cohort study.
<p><strong>Protocol</strong></p><p><strong>Open</strong></p><p><strong>access</strong></p><p>BMJ Open <strong>ADVANCE-TBI study protocol:</strong></p><p><strong>traumatic brain injury outcomes in UK</strong></p><p><strong>military personnel serving in</strong></p><p><strong>Afghanistan between 2003 and 2014 – a</strong></p><p><strong>longitudinal cohort study </strong></p><p>Neil S <a href="http://orcid.org/0000-0002-0183-3368">N Graham <img src="/media/202408//1724838784.1612191.png" /> </a>,1,2 Grace Blissitt,3,4 Karl Zimmerman,1,2 Daniel Friedland,1 Marc-Emmanuel Dumas,3,5 Emma Coady,3,4 Amanda Heslegrave,6,7</p><p>Henrik Zetterberg,6,7 Valentina Escott-Price<a href="http://orcid.org/0000-0003-1784-5483"> <img src="/media/202408//1724838784.221484.png" /></a> ,8,9 Susie Schofield,3</p><p>Nicola T Fear<a href="http://orcid.org/0000-0002-5792-2925"> <img src="/media/202408//1724838784.482628.png" /> </a>,10,11 Christopher Boos,3,11 Anthony M J Bull,12,13 Paul Cullinan,3 Alexander Bennett,3,4 David J Sharp,1,2 for the ADVANCE Study</p><p><strong>To cite: </strong>Graham NSN, Blissitt G, Zimmerman K, et al. ADVANCE- TBI study protocol: traumatic</p><p>brain injury outcomes in UK</p><p>military personnel serving in</p><p>Afghanistan between 2003</p><p>and 2014 – a longitudinal</p><p>cohort study. BMJ Open</p><p>2023;<strong>13</strong>:e069243. doi:10.1136/ bmjopen-2022-069243</p><p><a id="bookmark1"></a><a href="#bookmark1">► Prepublication history for</a></p><p><a id="bookmark2"></a><a href="#bookmark2">this paper is available online.</a></p><p><a id="bookmark3"></a><a href="#bookmark3">To view these files, please visit</a></p><p><a id="bookmark4"></a>the journal online (<a href="http://dx.doi.org/10.1136/bmjopen-2022-069243">http://dx.doi.</a></p><p><a id="bookmark5"></a><a href="http://dx.doi.org/10.1136/bmjopen-2022-069243">org/10.1136/bmjopen-2022-</a></p><p><a id="bookmark6"></a><a href="http://dx.doi.org/10.1136/bmjopen-2022-069243">069243</a>).</p><p>Received 14 October 2022 Accepted 01 March 2023</p><p><img src="/media/202408//1724838784.5782259.png" /><a href="http://crossmark.crossref.org/dialog/?doi=10.1136/bmjopen-2022-069243&domain=pdf&date_stamp=2023-03-21"><img src="/media/202408//1724838784.669247.png" /></a></p><p>© Author(s) (or their</p><p>employer(s)) 2023. Re-use</p><p>permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</p><p>For numbered affiliations see end of article.</p><p><strong>Correspondence to</strong></p><p>Professor David J Sharp;</p><p>david.sharp@imperial.ac.uk</p><p><strong>ABSTRACT</strong></p><p><strong>Introduction </strong>Outcomes of traumatic brain injury (TBI) are highly variable, with cognitive and psychiatric</p><p>problems often present in survivors, including an</p><p>increased dementia risk in the long term. Military</p><p>personnel are at an increased occupational risk of TBI, with high rates of complex polytrauma including TBI characterising the UK campaign in Afghanistan. The</p><p>ArmeD SerVices TrAuma and RehabilitatioN OutComE (ADVANCE)-TBI substudy will describe the patterns, associations and long-term outcomes of TBI in the</p><p>established ADVANCE cohort.</p><p><strong>Methods and analysis </strong>The ADVANCE cohort comprises 579 military personnel exposed to major battlefield trauma requiring medical evacuation, and 566 matched military</p><p>personnel without major trauma. TBI exposure has been</p><p>captured at baseline using a standardised interview and</p><p>registry data, and will be refined at first follow-up visit with the Ohio State Method TBI interview (a National Institute</p><p>of Neurological Disorders and Stroke TBI common data</p><p>element). Participants will undergo blood sampling, MRI</p><p>and detailed neuropsychological assessment longitudinally as part of their follow-up visits every 3–5 years over a</p><p>20-year period. Biomarkers of injury, neuroinflammation</p><p>and degeneration will be quantified in blood, and polygenic risk scores calculated for neurodegeneration. Age-</p><p>matched healthy volunteers will be recruited as controls</p><p>for MRI analyses. We will describe TBI exposure across</p><p>the cohort, and consider any relationship with advanced</p><p>biomarkers of injury and clinical outcomes including</p><p>cognitive performance, neuropsychiatric symptom burden and function. The influence of genotype will be assessed. This research will explore the relationship between</p><p>military head injury exposure and long-term outcomes,</p><p>providing insights into underlying disease mechanisms and informing prevention interventions.</p><p><strong>Ethics and dissemination </strong>The ADVANCE-TBI substudy has received a favourable opinion from the Ministry</p><p>of Defence Research Ethics Committee (ref: 2126/ MODREC/22). Findings will be disseminated via</p><table><tr><td><p><strong>STRENGTHS AND LIMITATIONS OF THIS STUDY </strong></p><p>→ ArmeD SerVices TrAuma and RehabilitatioN OutComE (ADVANCE)-traumatic brain injury (TBI) integrates with and extends the existing ADVANCE cohort study of 1145 military personnel with de- tailed longitudinal clinical, physiological, biomarker, genetic and functional assessment.</p><p>→ This substudy is well powered to interrogate the re- lationship between TBI exposure and long-term clin- ical outcomes with advanced biomarkers clarifying underlying disease mechanisms.</p><p>→ Results will inform public health prevention strat- egies in military, sporting and civilian settings, by identifying which types of injury pose the highest risks of progressive problems, and defining who might be at highest risk.</p><p>→ One limitation is that the ADVANCE cohort does not include female personnel, which may influence the generalisability of our findings.</p><p>→ A degree of loss to follow-up is anticipated but this is mitigated by the very large sample size.</p></td></tr></table><p>publications in peer-reviewed journals and presentations at conferences.</p><p><strong>INTRODUCTION</strong></p><p>Traumatic brain injury (TBI) is a significant cause of morbidity and mortality;<a href="#bookmark7">1</a> road traffic accidents, a surrogate for TBI, are the fore- most cause of disability in people aged 10–49 years worldwide<a href="#bookmark8">.2</a> In the military setting, complex patterns of injury are produced by battlefield head injury with high rates of blast neurotrauma in recent UK campaigns in Afghanistan and Iraq.<a href="#bookmark9">3</a> Estimates of TBI rates vary depending on definition and ascertain- ment approaches, but are thought to affect a</p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><a href="http://bmjopen.bmj.com/">BMJ</a> Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>1</strong></p><p><strong>Open access</strong></p><p>range of 5%–30% of service personnel.<a href="#bookmark10">4–7</a> Management of battlefield trauma has improved, such that patients are now surviving injuries but living with greater levels of disability.<a href="#bookmark11">8</a></p><p>A range of neurological and psychiatric problems, including cognitive difficulties, may arise after TBI. These ‘direct effects’ of injury recover to a variable extent. There is also evidence that a proportion of patients will dete- riorate late after trauma,<a href="#bookmark12">9</a> with an increased risk of all- subtype dementia associated with TBI<a href="#bookmark13">.10</a> Epidemiological data suggest a dose–response relationship, with greatest risk associated with more severe injuries or repeated TBI.<a href="#bookmark12">9–11</a> There has been particular concern about chronic traumatic encephalopathy in military veterans. This trauma-associated tauopathy is considered a progressive neurodegenerative disease and has been described in a number of combat veterans including after blast<a href="#bookmark14">.12 13</a> The relationship between the types, severity, quantity of head injuries and long-term brain health outcomes remains very uncertain.</p><p>Advances in neuroimaging and fluid biomarker tech- nologies provide improved means to sensitively assess patients for the presence of TBI’s possible effects such as neurodegenerative disease, including in pre-symptomatic periods<a href="#bookmark15">.14</a> For example, diffusion tensor imaging (DTI) MRI is highly sensitive to white matter (WM) damage sustained during TBI and may reveal changes, which are not present on conventional imaging such as CT or stan- dard MRI sequences<a href="#bookmark16">.15</a> Given the dynamic changes after TBI, longitudinal imaging (eg,with DTI) may be partic- ularly informative<a href="#bookmark17">.16 17</a> In addition, single-moleculer array (Simoa) technology (a bead-based, digitalised version of enzyme-linked sandwich immunoassay) can quantify neuronal breakdown products in blood to subfemtomolar (10−15) concentrations, with axonal marker neurofila- ment light (NfL) highly sensitive to axonal damage and progressive degeneration, which can take place chron- ically after TBI.<a href="#bookmark18">18</a> Elevations in both NfL and astroglial acti- vation marker (glial fibrillar acidic protein (GFAP)) have been reported as long as 5 years after moderate-severe TBI.<a href="#bookmark19">19</a> Acutely, GFAP peaks within days of injury, whereas NfL plasma concentrations are maximal around 3 weeks post-TBI, making these optimal time points to take clin- ical samples early post-injury: both markers predict 1-year outcomes, with NfL numerically (but non-significantly) the better predictor.<a href="#bookmark18">18</a> However, longer-term trajectories remain more imprecisely defined. For example, the BIO- AX-TBI cohort showed raised NfL and GFAP at 1 year post-injury,<a href="#bookmark18">18 20</a> with others finding raised NfL (only, not GFAP) at 8 months post-injury without longer-term (>5 years) elevation in either marker<a href="#bookmark20">.21</a> New approaches may also provide an improved understanding of the genetic factors influencing outcomes long after trauma. For instance, the apolipoprotein E ε4 (<em>APOE4</em>) allele is a major genetic risk factor for late-onset Alzheimer’s disease (AD) and is linked to poor clinical outcomes after TBI.<a href="#bookmark21">22 23</a> Polygenic risk scores (PRSs) are able to include genetic risk loci such as <em>APOE</em>, and further incorporate a</p><p>large range of risk polymorphisms identified in genome- wide association studies (GWAS), to explain more pheno- typical variance than traditional approaches<a href="#bookmark22">.24 25</a></p><p>The prospective ADVANCE (ArmeD SerVices TrAuma and RehabilitatioN OutComE) Study of combat trauma outcomes was established to investigate the long-term health consequences of battlefield trauma in the UK Afghanistan campaign, ‘Operation Herrick’, between 2002 and 2014. The study protocol is available for a more detailed description.<a href="#bookmark23">26</a> Briefly, in total, 1145 military personnel, around half of whom were exposed to major battlefield trauma alongside frequency matched controls, have been recruited to ADVANCE and undergone detailed baseline evaluation. This comprised compre- hensive biological, psychological and social data ascer- tainment including the presence of head injury at the time of trauma. The consortium has previously reported on cardiovascular changes related to battlefield trauma, with higher rates of metabolic syndrome associated with injury,<a href="#bookmark24">27</a> and adverse effects of combat trauma on mental health<a href="#bookmark25">.28</a></p><p>ADVANCE-TBI, a substudy of ADVANCE, takes advan- tage of the unique opportunity to leverage recent scien- tific advances to clarify in detail the patterns of TBI arising from the Afghanistan campaign. It will describe the neurological and psychiatric outcomes of these patients overtime,and relate these to head injury exposures. This will provide key insights into disease mechanisms, facili- tate the establishment of clinical trials to prevent progres- sive post-injury problems, improve prognostication and inform strategies to prevent significant injury.</p><p><strong>Research questions</strong></p><p>1. What is the prevalence of TBI in the ADVANCE cohort?</p><p>2. How does combat TBI relate to evidence of progressive neurodegeneration and brain health? (see hypotheses 1, 2, 3, 4, 5)</p><p>3. How do prior or subsequent TBI exposures, or periods of repeated head impact exposure influence long-term health? (see hypotheses 3 and 4)</p><p>4. Do genetic risk factors for neurodegeneration modu- late relationships between injury and outcome? (see hypothesis 6)</p><p>5. How do genetic factors and different environmental exposures (eg, cardiovascular health) influence post- traumatic neurodegeneration? (see hypotheses 6 and 7)</p><p><strong>Core hypotheses</strong></p><p>1. Compared with those with no history of TBI, patients after TBI will show MRI evidence of WM damage, spe- cifically reductions in diffusion imaging measures, in- cluding fractional anisotropy (FA); and that this will predict poor long-term outcomes including progres- sive neurodegeneration.</p><p>2. Compared with those with no history of TBI, patients after TBI will show evidence of brain atrophy, demon- strated by reduced brain volume on volumetric struc-</p><p><img src="/media/202408//1724838784.8249788.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>2 </strong>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243</p><p><strong>Open access</strong></p><p>tural T1 MRI and increased brain atrophy rates on se- rial volumetric T1 MRI.</p><p>3. Compared with those with no history of TBI, patients after TBI will show poorer cognitive performance on standardised neuropsychological testing.</p><p>4. Compared with those with no history of TBI, patients after TBI will show higher symptom burden in respect of mood, anxiety and post-traumatic stress.</p><p>5. Compared with those with no history of TBI, patients after TBI will show increased concentrations of plas- ma biomarkers of trauma in blood, including NfL and GFAP; and these biomarkers will predict progressive neurodegeneration.</p><p>6. Inpatients with a history of TBI, genetic risk for neuro- degeneration will modulate the relationship between injury and biomarkers of neurodegeneration.</p><p>7. Additional (prior or subsequent) TBI exposures will modify the relationship between index injury and neurodegeneration.</p><p><strong>METHODS AND ANALYSIS</strong></p><p>We will investigate the long-term neurological, psychiatric and functional outcomes of UK armed services physical battlefield trauma patients with a history of TBI. We will describe the types, severity and morbidity of TBI sustained by military personnel serving in Afghanistan. Additionally, we will describe patterns of brain damage using advanced MRI and relate this to the type of injury sustained (eg, blast/gunshot/blunt force). We will investigate how the type of injury, patterns of TBI in neuroimaging and blood biomarker profiles relate to cognitive performance, and assess whether post-traumatic outcomes are influenced by genetic liability to neurodegenerative disease.</p><p><strong>Participants and sample size</strong></p><p>ADVANCE-TBI is a prospective longitudinal substudy of the existing ADVANCE cohort. All ADVANCE partic- ipants will be offered the opportunity to enrol into ADVANCE-TBI, which, in brief, adds a 3T MRI scan of brain and cognitive assessment to the usual follow-up visits (see <a href="#bookmark26">table 1</a>). Initially, this will be on two consecutive <a id="bookmark26"></a>follow-up visits 3–5 years apart, which will be extended</p><p>subject to funding. A small group (n=30) of volunteers with no history of frontline military service or brain injury will also be recruited to have a single MRI scan of the brain.</p><p>The sample size of the ADVANCE cohort has already been established,<a href="#bookmark23">26</a> and as per a number of existing assessments which form part of the core ADVANCE Study (eg, universal dual-energy X-ray absorptiom- etry scanning, hip/knee/pelvic X-rays), we intend to offer ADVANCE-TBI to all participants.<a href="#bookmark23">26</a> The primary outcomes are (1) ascertainment of exposure to head injury across the ADVANCE cohort; and (2) DTI MRI difference in WM integrity between patients with and without history of TBI. The first outcome is descriptive rather than hypothesis driven.</p><p>We anticipate uptake in the region of 80% resulting in a group of around 900 participants, and a conservative estimate of TBI rates within the cohort from previous literature of 7.5%.<a href="#bookmark10">4 5</a> This equates to around 68 individ- uals with TBI; however, the number is likely to be higher as ADVANCE specifically enrolled patients with major trauma exposure (in ~50%). We will be able to provide a detailed description of the types, quantity and severity of injury across the cohort. As described in the core ADVANCE protocol, we anticipate a drop-out rate of 10% every 5 years, hence,a group size (conservatively) of 590 participants at 20 years.</p><p><em>Detection of significant trauma-related abnormalities on diffusion tensor MRI: </em>our previous work has shown a very substantial difference in WM FA on DTI MRI in the chronic phase after moderate-severe TBI versus healthy age-matched controls (Cohen’s d=2.2)<a href="#bookmark27">.29</a> Power calcula- tions (G*Power, V.3.1) show that to have 95% power using a two-tailed t-test to detect an effect of this magnitude, with an error probability of 5%, a minimum of seven patients per study arm would be needed. Assuming an 80% enrol- ment of the cohort, n=900 people,half of whom, that is, 450, have combat trauma exposure, we expect circa 10% to have TBI (n=45). We are therefore well powered to detect differences in WM integrity between patients with combat trauma including and excluding TBI (given a requirement of seven patients).</p><p><img src="/media/202408//1724838785.192596.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>Table 1 </strong>Study design and planned study assessment time points in ADVANCE core and ADVANCE-TBI substudy</p><table><tr><td><p> <strong>Planned study visit (years post-recruitment) 0 3 6 10 15 20</strong></p></td></tr><tr><td><p>ADVANCE Clinical assessment x x x x x x</p><p>DNA x – – – – –</p></td></tr><tr><td><p>ADVANCE-TBI substudy MRI of the brain – x x x x x</p><p>Neuropsychology – x x x x x</p><p>Blood biomarkers x x x x x x</p></td></tr><tr><td><p>All ADVANCE core assessments are performed for all participants, with ADVANCE-TBI substudy facilitating additional MRI of the brain, neuropsychology and blood biomarker analyses.</p><p>‘x’ denotes included; ‘– ’ denotes excluded.</p><p>ADVANCE, ArmeD SerVices TrAuma and RehabilitatioN OutComE; TBI,traumatic brain injury.</p></td></tr></table><p>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>3</strong></p><p><strong>Open access</strong></p><p><strong>Entry into the study</strong></p><p>Recruitment of the ADVANCE cohort began in March 2016. Defence Statistics provided information from which both groups were recruited. All ADVANCE cohort participants will be offered the opportunity to take part in the ADVANCE-TBI Study. Assenting participants will <a id="bookmark28"></a>be formally assessed for eligibility and invited to provide informed written consent. The right of the participant to refuse consent without giving reasons will be respected. Further, the participant will remain free to withdraw from the study and withdraw previously collected data at any time without giving reasons and without prejudicing any further treatment. A copy of the consent will be given to the participant and one filed in the Trial Master File, and within their Ministry of Defence (MOD) medical records (if still serving). The written consent will be taken by an authorised clinician. We will only recruit participants who have mental capacity to provide valid informed consent. Standard procedures will be followed in the event that a participant loses capacity during the course of the study, per Health Research Authority/MOD Research Ethics Committee (MODREC) regulations.</p><p><em>Inclusion/exclusion: </em>core ADVANCE inclusion criteria are described in detail elsewhere.<a href="#bookmark23">26</a> Briefly, they comprise UK armed service personnel, male, sustaining physical battlefield trauma, while on deployment in Afghani- stan, requiring aeromedical evacuation and direct UK hospital admission from 2003 to 2014. This comprises an ‘exposed group’, exposed to major battlefield trauma, though not necessarily TBI. A frequency matched ‘unexposed group’ was also recruited in ADVANCE, without major battlefield trauma requiring aeromed- ical evacuation. The following are excluded from ADVANCE: females; those unwilling or unable to give informed consent; those with established cardiovascular disease (previous stroke or transient ischaemic attack, ischaemic heart disease, peripheral vascular disease); medical history of diabetes; medical history of renal or liver disease; aged <18 or >50 years at recruitment; active acute infection with systemic features of sepsis, at the time of recruitment. Participants are also excluded from the MRI part of ADVANCE-TBI if there is a contrain- dication to this imaging modality, for example, due to ferromagnetic implants. We anticipate this will comprise only a very small number of individuals.</p><p><em>Assessment timeline and content: </em>TBI-specific assess- ments will be integrated into the existing schedule of longitudinal follow-ups in the ADVANCE Study. Specif- ically, this comprises assessments at baseline (complete in 1145 participants), ongoing assessments at 3 years (complete in circa 850 participants), as well as 7, 10, 15 and 20 years after recruitment into ADVANCE. The TBI assessments, in consenting participants, start at their next scheduled ADVANCE Study visit. Recruit- ment into the ADVANCE-TBI substudy started in May 2022, with approximately 150 participants enrolled so far (<a href="#bookmark28">figure 1</a>).</p><p><img src="/media/202408//1724838785.281502.jpeg" /></p><p><strong>Figure 1 </strong>Recruitment within the ADVANCE Study.</p><p>Cumulative number of patients within the broader ADVANCE Study showing date of baseline assessment and first follow- up visit, with patients recruited into ADVANCE-TBI in green.</p><p>ADVANCE, ArmeD SerVices TrAuma and RehabilitatioN OutComE; TBI,traumatic brain injury.</p><p>Healthy volunteer assessment</p><p>We will recruit 30 age-matched non-ADVANCE healthy volunteers with no history of frontline military service for a single brain MRI scan (3T MRI on PhilipsIngenia Elition, scan protocol identical to the other study participants). This is to assist interpretation and broader comparison of the imaging measures acquired in ADVANCE partici- pants. This will be done cross-sectionally. Age matching will be performed to ensure equal proportions in 10-year age bands, compared with patients. These participants will be recruited via email circulation, word of mouth and advertisement material in the form of posters. Healthy volunteer participants may include civilian contrac- tors and MOD health professionals who have not been exposed to combat environments.</p><p><em>Inclusion for non-ADVANCE healthy volunteers: </em>age range as per the ADVANCE cohort. <em>Exclusion criteria: </em>females; unable to have MRI, for example, due to ferromagnetic implants; those with established vascular disease (previous stroke or transient ischaemic attack, ischaemic heart disease, peripheral vascular disease); medical history of diabetes; medical history of renal or liver disease; history of major head injury, defined as any head injury requiring emergency department attendance or any injury defined as moderate-severe in Mayo classification;<a href="#bookmark29">30</a> history of playing collision sports (Association or American foot- ball, rugby, lacrosse, boxing, mixed martial arts) at a semi- professional or professional level, including high-level university sport participation; head injury in last 3 months or a history of frontline military service.</p><p><strong>Identification of injuries, severity ascertainment, periods of repeated head impact exposure</strong></p><p>We will use standardised tools to capture and code the numbers, type, severity and sequelae of head injuries within the cohort. National Institute of Neurological Disorders and Stroke common data elements for TBI research will be used where possible to code this infor- mation,<a href="#bookmark30">31</a> facilitating standardised comparisons and later sharing of data.</p><p>A standardised interview was used at the baseline study visit to capture the participant’s medical history including of TBI, recorded on the medical history page</p><p><img src="/media/202408//1724838785.375992.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>4 </strong>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243</p><p><strong>Open access</strong></p><p>of the ADVANCE Study case report form. Supplementing this, the UK Aeromedical Evacuation and Joint Theatre Trauma Registry provides further detailed information about the acute injury and its early management. Lastly, review of the military medical records will be used to help complete any missing data regarding the TBI exposure and its early management. These aresources to which the ADVANCE Study already has ethical approval to use and access in place.</p><p>The Ohio State TBI Identification Method<a href="#bookmark31">32</a> is being used at the first follow-up visit in ADVANCE, providing self-reported retrospective assessment of TBI exposure. This validated tool provides information about signif- icant injuries (or ‘concussions’) during each person’s life-course, as well as capturing periods of time when that individual had frequent exposure to head injuries (such as, for example, participation for several years as a boxer). Any information captured within the Ohio State Questionnaire pertaining to the index injury will be incorporated as above.</p><p>We will characterise the trauma exposure by which the patient was defined as ‘trauma exposed’ for the purpose of the advance study (ie, event requiring aeromedical evacuation from Afghanistan). For clarity, we term this the ‘index’ injury, in recognition that individuals may have had prior or subsequent to that, which helped to define them as exposed for the purpose of the ADVANCE Study. We will identify groups of participants based on the presence of TBI, associated polytrauma or no trauma at the index event (<a href="#bookmark32">table 2</a>).</p><p>We will use the Mayo classification to define injury severity and stratify the TBI group<a href="#bookmark29">.30</a> This classifica- tion approach categorises injury severity and provides a level of confidence about the categorisation, with three broad groups: symptomatic possible, mild probable and moderate-severe (definite). Different categories of infor- mation are incorporated to determine a categorisation, and not all data types are required in any individual case. These include clinical features such as duration of post- traumatic amnesia, imaging findings such as the presence of intraparenchymal haematoma and/or symptoms such as dizziness (<a href="#bookmark33">table 3</a>).</p><p>We will also identify non-index injury exposures to TBI and classify these using the Mayo classification, providing a count of moderate-severe and mild probable injuries. Periods of exposure to repeated head impacts, such as in sporting settings, will also be assessed and quantified using the Ohio State Method. This will define periods of exposure to repeated head impacts, capturing type (for instance, type of sport) and duration of exposure.</p><p>Associations of trauma-related imaging change</p><p>Given the possibility that TBI may not have been recognised clinically, such as in the context of marked polytrauma with severe injuries elsewhere, we will define a group of participants with trauma-related change on MRI scanning and compare these individuals with those without trauma-related abnormalities on imaging. Features used to define this group may include diffuse vascular injury on susceptibility-weighted imaging (SWI) MRI (ie, microhaemorrhages), evidence of diffuse axonal injury on DTI and focal trauma-related damage on struc- tural imaging.</p><p>We will assess for differences including in demo- graphics, occupational exposure and recorded trauma exposures between these groups. Although we will not be able to accurately date the changes on imaging to the index injury versus other events, this will provide an indi- cation of rates of unrecognised radiologically significant TBI within the cohort.</p><p><strong>Assessments during study visits</strong></p><p>Magnetic resonance imaging</p><p>Brain structure and function will be assessed using MRI (Phillips 3T Ingenia Elition). Volumetric T1 will provide brain morphometric data and indicate the presence of any neurodegeneration-associated brain atrophy; fluid- attenuated inversion recovery sequences are acquired to assess specifically for post-traumatic change, including gliosis; diffusion-weighted imaging will be acquired to facilitate DTI assessment of WM tract integrity, SWI to assess evidence of diffuse vascular injury sustained at the time of trauma and resting-state functional MRI to assess</p><p><img src="/media/202408//1724838785.475391.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><a id="bookmark32"></a><strong>Table 2 </strong>TBI exposure ascertainment</p><table><tr><td colspan="2"><p><strong>Life-course TBI exposure</strong></p></td></tr><tr><td><p><strong>Index injury</strong></p><p>(ie, exposed vs unexposed within the ADVANCE Study; defined as requiring medical evacuation for trauma, vs non-trauma exposed control)</p></td><td><p><strong>Additional exposures</strong></p></td></tr><tr><td colspan="2"><p><strong>Battlefield trauma exposed Unexposed</strong></p></td></tr><tr><td colspan="2"><p>TBI±extracranial injuries Extracranial injuries alone No ‘index’ injury Previous or subsequent TBIs (N)</p><p>Repeated head impacts (type, duration)</p></td></tr><tr><td colspan="2"><p>Characterisation of life-course exposure to TBI. The participant may, for the purposes of the ADVANCE cohort study, be defined as ‘exposed’ (ie, having a major combat traumatic injury requiring medical evacuation) or ‘unexposed’ (left column). This is referred to</p><p>as the ‘index’ injury. This may or may not include TBI. Separate from this, we will ascertain other injuries (‘additional exposures', right column) with TBI.</p><p>ADVANCE, ArmeD SerVices TrAuma and RehabilitatioN OutComE; TBI,traumatic brain injury.</p></td></tr></table><p>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>5</strong></p><p><a id="bookmark33"></a><strong>Open access</strong></p><table><tr><td colspan="4"><p><strong>Table 3 </strong>TBI severity assessment (Mayo classification)</p></td></tr><tr><td rowspan="2"></td><td colspan="3"><p><strong>TBI severity</strong></p></td></tr><tr><td><p><strong>Moderate-severe (definite)</strong></p></td><td><p><strong>Mild probable</strong></p></td><td><p><strong>Symptomatic possible</strong></p></td></tr><tr><td colspan="4"><p>Clinical features include any of</p></td></tr><tr><td><p>Loss of consciousness</p></td><td><p>Present ≥30 min</p></td><td><p>Momentary–30 min</p></td><td><p>—</p></td></tr><tr><td><p>Post-traumatic amnesia</p></td><td><p>Present ≥24 hours</p></td><td><p>Momentary–24 hours</p></td><td><p>—</p></td></tr><tr><td><p>Lowest Glasgow Coma Scale</p></td><td><p><13</p></td><td><p>—</p></td><td><p>—</p></td></tr><tr><td><p>Neuroimaging shows any of</p></td><td><p>Intracerebral haematoma</p></td><td><p>Depressed, basilar or linear skull fracture</p></td><td><p> </p></td></tr><tr><td></td><td><p>Subdural haematoma</p></td><td><p> </p></td><td><p> </p></td></tr><tr><td></td><td><p>Extradural haematoma</p></td><td><p> </p></td><td><p> </p></td></tr><tr><td></td><td><p>Contusion (haemorrhagic)</p></td><td><p> </p></td><td><p> </p></td></tr><tr><td></td><td><p>Penetrating injury (of dura)</p></td><td><p> </p></td><td><p> </p></td></tr><tr><td></td><td><p>Subarachnoid haemorrhage</p></td><td><p>—</p></td><td><p>—</p></td></tr><tr><td></td><td><p>Brainstem injury</p></td><td><p>—</p></td><td><p>—</p></td></tr><tr><td><p>Symptoms including any of</p></td><td><p>—</p></td><td><p>—</p></td><td><p>Visual blurring</p></td></tr><tr><td></td><td><p> </p></td><td><p> </p></td><td><p>Mental state change/confusion</p></td></tr><tr><td></td><td><p> </p></td><td><p> </p></td><td><p>Dazed</p></td></tr><tr><td></td><td><p> </p></td><td><p> </p></td><td><p>Dizziness</p></td></tr><tr><td></td><td><p> </p></td><td><p> </p></td><td><p>Focal neurological symptoms</p></td></tr><tr><td></td><td><p>—</p></td><td><p>—</p></td><td><p>Headache</p></td></tr><tr><td></td><td><p>—</p></td><td><p>—</p></td><td><p>Nausea</p></td></tr><tr><td colspan="4"><p>Classification of TBI severity based on clinical, neuroimaging and symptomatic features. Table adapted from Malec <em>et al</em><a href="#bookmark29">.30</a> TBI,traumatic brain injury.</p></td></tr></table><p>the effect of injury on brain network function. The scan duration is approximately 1 hour (<a href="#bookmark34">table 4</a>).</p><p>Scanning will be performed on one occasion for healthy volunteers, and longitudinally for ADVANCE participants, within the existing longitudinal study visit schedule. We anticipate that all scanning will take place within the radiology department at Defence Medical and Rehabili- tation Centre Stanford Hall. All images will be reported</p><p>by a consultant neuroradiologist and the imaging reports reviewed by the ADVANCE-TBI Study doctors.</p><p>An MRI phantom will be imaged repeatedly during the study period to ensure no unrecognised change in the acquisitions, which might affect longitudinal data collec- tion. We aim to acquiredata on the same scanner system with the same parameters longitudinally: if this should not be possible, we will systematically assess for differences</p><p><img src="/media/202408//1724838785.554415.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>Table 4 </strong>MRI sequences on 3T Philips Ingenia Elition scanner system</p><table><tr><td><p><a id="bookmark34"></a><strong>Sequence</strong></p></td><td><p><strong>Voxel size (mm)</strong></p></td><td><p><strong>Function</strong></p></td></tr><tr><td><p>Volumetric T1 magnetisation-prepared rapid acquisition with gradient echo</p></td><td><p>1×1×1</p></td><td><p>Assessment of atrophy</p></td></tr><tr><td><p>T2 fluid-attenuated inversion recovery</p></td><td><p>1×1×1</p></td><td><p>Assessment for traumatic damage, for example, contusions/gliosis</p></td></tr><tr><td><p>Susceptibility-weighted imaging</p></td><td><p>0.6×0.6×1.2</p></td><td><p>Sensitively assess for traumatic vascular injury (‘microhaemorrhages’)</p></td></tr><tr><td><p>Quantitative susceptibility mapping</p></td><td><p>0.9×0.9×0.9</p></td><td><p>Assess for iron-related signal abnormality related to neurodegeneration</p></td></tr><tr><td><p>Diffusion (receiver coil channels 32; directions 64; b value 1000)</p></td><td><p>2×2×2</p></td><td><p>Perform diffusion tensor imaging analysis of white matter microstructural integrity</p></td></tr><tr><td><p>Resting-state functional MRI</p></td><td><p>2.6×2.6×2.6</p></td><td><p>Assess brain network function, connectivity and relationship to structural damage</p></td></tr></table><p><strong>6 </strong>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243</p><p><a id="bookmark35"></a><strong>Open</strong></p><p><strong>access</strong></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>Table 5 </strong>ADVANCE-TBI neuropsychological testing</p><table><tr><td colspan="2"><p><strong>Neuropsychological test Domain</strong></p></td></tr><tr><td colspan="2"><p>Test of Premorbid Functioning<a href="#bookmark36">51</a> Establish baseline IQ</p></td></tr><tr><td colspan="2"><p>Delis-Kaplan Executive Function System Stroop<a href="#bookmark37">52</a> Executive function</p></td></tr><tr><td colspan="2"><p>Trail Making test<a href="#bookmark38">53</a> Executive function, processing speed</p></td></tr><tr><td><p>Repeatable Battery for the Assessment of Neuropsychological Status<a href="#bookmark39">39</a></p></td><td><p>Range of domains including: immediate memory, delayed memory, visuospatial, language and attention</p></td></tr><tr><td colspan="2"><p>The Dot Counting test<a href="#bookmark40">40</a> Performance validity</p></td></tr><tr><td colspan="2"><p>Simple reaction time, via tablet PC, Cognitron testing platform<a href="#bookmark41">33</a> Reaction time</p></td></tr><tr><td colspan="2"><p>Choice reaction time, via tablet PC, Cognitron testing platform<a href="#bookmark41">33</a> Processing speed</p></td></tr><tr><td colspan="2"><p>ADVANCE, ArmeD SerVices TrAuma and RehabilitatioN OutComE; TBI,traumatic brain injury.</p></td></tr></table><p>andre-image healthy controls if required, and normalise imaging data (eg, via z-scoring approach vs controls) to facilitate comparisons across scanner configurations/ systems.</p><p>MRI assessment at single time point in healthy controls will facilitate normalisation of diffusion MRI results and hence comparison with other studies. The within-subject longitudinal nature of the other analyses does not neces- sitate follow-up imaging in healthy volunteers.</p><p>Neuropsychology, including symptoms associated with TBI,</p><p>including post-traumatic stress symptoms, sleep quality, anxiety symptoms, depressive symptoms and quality of life</p><p>Prior to testing, patients will be asked duration of educa- tion, native language, whether they had any reading, writing or spelling difficulties at school, or whether they have colour blindness. The assessments will be conducted by appropriately trained study researchers, overseen by a neuropsychologist. Cognitive function will be assessed using gold-standard pen-and-paper neuropsychological tests, alongside computerised testing of measures such as reaction times and processing speed via an established platform ‘Cognitron’<a href="#bookmark41">.33</a> Tests are designed to map a range of areas including premorbid functioning, memory, processing speed, executive functioning and perfor- mance validity (<a href="#bookmark35">table 5</a>).</p><p>The ADVANCE Study routinely ascertains validated questionnaires to assess for a range of symptoms relevant to the chronic phase after TBI. A broad range of post- <a id="bookmark42"></a>concussion symptoms are assessed using the Rivermead questionnaire,<a href="#bookmark43">34</a> and we will acquire information on sleep quality using the Insomnia Severity Index,<a href="#bookmark44">35</a> neuropsychi- atric symptoms, including anxiety (using the Generalised Anxiety Disorder-7 questionnaire<a href="#bookmark45">36</a>), and post-traumatic stress symptoms (Posttraumatic Stress Disorder Checklist for DSM-5 questionnaire<a href="#bookmark46">37</a>). Healthy-related quality of life will be assessed using the validated EQ-5D-5L ques- tionnaire,<a href="#bookmark47">38</a> which assesses five dimensions: spanning mobility, self-care, usual activities, pain/discomfort and anxiety/depression. These measures are collected at present within the core ADVANCE Study (<a href="#bookmark42">table 6</a>).</p><p>Cognition: neuropsychological performance across pen-and-paper testing, and computerised measures</p><p>We will assess baseline IQ using the test of premorbid functioning. We will use the Delis-Kaplan Executive Func- tion System Stroop test and Trail Making test to assess executive function. The Pearson Repeatable Battery for the Assessment of Neuropsychological Status test<a href="#bookmark39">39</a> will be used to assess a range of cognitive domains, including memory, delay recall, visuospatial, language and atten- tional performance. The Dot Counting test will be used to assess performance validity.<a href="#bookmark40">40</a> Two tests will be under- taken using a computerised platform ‘Cognitron’ on an Apple iPad system.<a href="#bookmark41">33</a> These are the simple reaction time test and choice reaction team, providing reaction time and processing speed measures.</p><p><strong>Analysis overview</strong></p><p>Neuroimaging: WM injury ascertainment using DTI MRI and diffuse vascular injury on SWI</p><p>We will use neuroimaging to identify WM abnormalities associated with diffuse axonaland diffuse vascular injury. Standard approaches such as tract-based spatial statistic (FSL) will be used to generate measures of WM integrity voxelwise for study participants undergoing imaging, generating measures such as FA<a href="#bookmark48">.41</a> We will perform voxel- wise analyses to identify regions of significantly different FA related to TBI exposure.</p><p>As previously described, using healthy age-matched controls with no history of frontline military service for</p><p><strong>Table 6 </strong>Questionnaire data</p><table><tr><td><p><strong>Questionnaire</strong></p></td><td><p><strong>Role</strong></p></td></tr><tr><td><p>The Ohio State Method<a href="#bookmark31">32</a></p></td><td><p>Head injury exposure history</p></td></tr><tr><td><p>Rivermead questionnaire<a href="#bookmark43">34</a></p></td><td><p>Post-concussion symptoms</p></td></tr><tr><td><p>Generalised Anxiety Disorder-7<a href="#bookmark45">36</a></p></td><td><p>Anxiety symptoms</p></td></tr><tr><td><p>Insomnia Severity Index<a href="#bookmark44">35</a></p></td><td><p>Sleep problems</p></td></tr><tr><td><p>Posttraumatic Stress Disorder Checklist for DSM-5<a href="#bookmark46">37</a></p></td><td><p>Post-traumatic stress symptoms</p></td></tr><tr><td><p>EQ-5D-5L questionnaire<a href="#bookmark47">38</a></p></td><td><p>Health-related quality of life</p></td></tr></table><p><img src="/media/202408//1724838785.5915892.png" /></p><p>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>7</strong></p><p><strong>Open</strong></p><p><strong>access</strong></p><p>comparison, we will produce individual-level WM DTI assessments for ADVANCE participants. This pipeline involves FA assessment within regions previously shown to be sensitive to trauma-related damage, including whole brain WM skeleton, body, genu and splenium of the corpus callosum, the corona radiata (left and right), corticospinal tracts, inferior longitudinal fasciculi and middle cerebellar peduncles<a href="#bookmark16">.15</a> SWI will be used to iden- tify trauma-related diffuse vascular injury.<a href="#bookmark16">15</a> A neurora- diologist will report the scans and comment on any abnormalities, including microhaemorrhage burden.</p><p>Neuroimaging: brain atrophy rate, determined by brain volume change on serial volumetric MRI</p><p>Neurodegeneration can be sensitively measured with volu- metric T1 MRI, with atrophy measures shown to corre- spond to neuronal numbers<a href="#bookmark49">.42</a> Longitudinal methods provide the means to look sensitively for progression over time<a href="#bookmark50">.17</a> Standard tools such as SPM (University College London) will be used to segment structural T1 images and calculate volumes of grey matter (GM), WM and cerebrospinal fluid (CSF) for each individual at each scanning time point. Volumes of GM, WM and CSF will be normalised for head size as needed by dividing each by total intracranial volume (defined as GM+WM+CSF).</p><p>To assess for longitudinal changes in brain volume, we will use standard approaches such as SPM V.12 for longitudinal pairwise registration, whereby each patient’s baseline scan is iteratively co-registered to the follow-up image.<a href="#bookmark51">43</a> The resulting deformations divided by the inter- scan time interval are captured in a Jacobian determinant rate map. By registering individual temporal-average space images to standard space (eg, MNI152), we will be able to undertake voxelwise group-level contrasts (FSL randomise), including between participants with and without TBI.</p><p>Neuroimaging: brain network changes on resting-state functional MRI</p><p>We will use functional MRI to investigate brain network function. Brain activation-related changes in cerebral blood flow can be assessed using functional MRI via the blood oxygen level dependent signal. Functional connec- tivity, reflecting both regional activation and the interac- tion of brain regions within a network, relates to brain structure (as above), is sensitive to TBI-related damage and can be assessed at rest using standard approaches: we have previously used this approach to demonstrate persistent changes in brain network functional connec- tivity after TBI.<a href="#bookmark52">44</a> Similar approaches will be employed to test whether battlefield exposure is associated with persistent changes in brain network function.</p><p>Fluid biomarkers: blood concentrations of neurodegeneration</p><p>markers NfL and GFAP, with exploratory analyses of amyloid beta 1-42 and 1-40, phosphorylated-tau 181 and total tau</p><p>Plasma has been taken at the baseline visit for >1100 partic- ipants in ADVANCE and thus far a substantial proportion</p><p>of the cohort has undergone their 3-year longitudinal follow-up visit with further plasma sampling. This will continue longitudinally at each ADVANCE Study visit. We will use a digital ELISA platform, specifically the Simoa system (Quanterix, Massachusetts, USA)<a href="#bookmark53">45</a> to provide atto- molar (10−15) quantification of fluid biomarkers. We will assess the relationship between plasma concentrations of NfL and GFAP and injury exposure using linear models. In exploratory analyses, we will also investigate the rela- tionship between injury and plasma concentrations of amyloid beta 1-42, amyloid beta 1-40, total tau and phos- phorylated-tau 181. Other plasma biomarkers of brain injury and neurodegeneration will be analysed in the future as they are developed. Analyses will be performed in keeping with standard operating procedures, set out in the relevant laboratory manuals.</p><p>Fluid biomarkers: proteomic profile associated with TBI</p><p>The Somalogic proteomics discovery platform providing aptamer-based quantification of >7000 proteins is being performed on baseline blood samples from the ADVANCE cohort within the core ADVANCE Study. We will (1) describe the plasma concentrations of, and assess the correlation between fluid biomarkers measured on the Simoa platform and the Somalogic platform (specif- ically NfL, GFAP and total tau); (2) assess for proteomic evidence of neurodegeneration and inflammation which is specific to battlefield TBI, involving comparison of NfL, GFAP, interleukin (IL)-6:IL-10, interferon gamma:IL-10 and tumour necrosis factor-alpha:IL-10 ratio in patients with and without TBI; (3) perform data-driven determi- nation of clusters associated with brain injury in trauma patients to assess which groups of co-correlating proteins maximally differentiate individuals with and without TBI in those exposed to battlefield trauma, using cluster and factor analysis approaches; (4) assess which proteomic markers are closely correlated with our core candidate markers of neurodegeneration (NfL, GFAP) in patients with TBI; (5) assess the relative contribution of injury and inflammation to autonomic dysfunction after TBI, using measures such as heart rate variability (assessed using the Vicorder system, Skidmore Medical, UK) alongside proteomic markers; and (6) assess how accel- erated biological ageing contributes to the chronic conse- quences of TBI, and if so, to what extent this is modulated by inflammation.</p><p>Assessment of interaction between neurodegenerative genotype (APOE4, AD PRS), TBI status and outcome measures including fluid biomarkers, brain atrophy and symptom burden</p><p>Whole blood was sampled at the ADVANCE Study base- line visit. Consent and ethical approval are placed for genotyping and further analyses. <em>Extraction and microarray analysis: </em>DNA will be extracted and single-nucleotide polymorphism (SNP) assessment will be performed using Illumina Global Screening Array. We will use the Illu- mina Neuro Consortium Array in addition, comprising an additional ~75 K SNPs for variants associated with AD,</p><p><img src="/media/202408//1724838785.649195.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>8 </strong>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243</p><p><strong>Open access</strong></p><p>Parkinson’s and frontotemporal dementia<a href="#bookmark54">.46</a> Individuals and variants with a low call rate will be excluded from further analyses. We will also perform quality checks for genetic sex and remove individuals with a high degree of relatedness, and will check for ancestry using principal component analysis. The derived subpopulation struc- ture in our data will be assessed against reference popu- lations (eg, UK Biobank) and non-Caucasian participants analysed separately.</p><p>To increase power and improve signal resolution while limiting the genotyping costs, datasets will be harmonised, phased and imputed with the Next-Generation Genotype Imputation Service, facilitating prediction of SNPs that have not been directly tested (matching measured to reference haplotypes). In order to understand the rela- tive contribution of the <em>APOE </em>AD risk allele, status will be imputed using standard microarray approaches to assess SNPs rs429358 and rs7412, and data will undergo quality control as recently described.<a href="#bookmark55">47</a> Individual PRS will be generated as sums of the risk alleles weighted by SNP effect sizes from the most recent AD GWAS.<a href="#bookmark56">48</a> SNPs will be selected on a threshold of p≤0.5 for AD<a href="#bookmark57">.25 47 49</a> SNPs will be excluded if they have a linkage disequilibrium r2 >0.1 with the most associated SNP in a 1 megabase region. The PRS will be standardised using appropriate popula- tion cohorts. In exploratory work, we will assess for muta- tions in Wallerian degeneration pathways, which might affect neurodegeneration after injury, particularly in the sterile alpha and Toll/IL-1 receptor motif-containing one <em>SARM1 </em>gene.</p><p><strong>Statistical analysis plan</strong></p><p>Across the different strands of work, data inspection and the Kolmogorov-Smirnov test will be used to assess normality of all continuous data. Group-level contin- uous data will be compared using the unpaired t-test for normally distributed data and the Wilcoxon test for non-parametric data. Analysis of variance will be used for three-way comparisons. In addition, effect sizes and CIs will be reported. Spearman’s rank correlation will be used to assess correlations between Simoa and Somalogic biomarkers.</p><p>Multivariable linear regression will be used to develop a prediction model for neurodegeneration outcome measures such as brain atrophy rates, fluid biomarkers (GFAP and NfL), cognition and neuropsychiatric symptom burden. Models will include putative predictors whose influence will be explored including exposure to TBI (including severity, number of TBIs), cardiovascular status (eg, indexed by arterial stiffness measures collected in ADVANCE such as pulse wave velocity, or scores such as QRISK<a href="#bookmark58">50</a>), genetic risk for AD, age and time since injury. This relates to hypotheses 1 and 5, involving outcome prediction.</p><p>Multivariable linear (or logistic, for categorical measures, as appropriate) regression models will be used to test the association between exposure and outcomes, adjusting apriori for confounders. We will test the effects</p><p>of non-index injuries. This approach will be used to test associations described in hypotheses 1, 2, 3, 4, 5, 6 and 7.</p><p>Linear mixed-effects models will be used to analyse time-course data such as longitudinally collected biomarker data (fixed effects) accounting within indi- vidual (random-effects) repeated measures. We will account for confounders including rank as a surrogate of socioeconomic status and age.</p><p>A two-tailed p value of <0.05 will be considered statis- tically significant for all comparisons, except where a strong prior hypothesis exists to justify one-tailed testing (eg, brain volume loss, rather than expansion, overtime after TBI).</p><p><strong>Limitations</strong></p><p>There may be loss to follow-up over the course of the study. However, we do not feel that this will significantly impair our ability to address the core research questions or hypotheses and our group size will likely be well in excess of 500 participants at 20 years. We will test for the imbalances in the data at each time point due to loss to follow-up and may use statistical approaches such as weighted analyses to account for this, if appropriate.</p><p>Missing data will be handled by multiple imputation where appropriate. Where assumptions are violated, other missing data imputation methods will be considered. Where the number of missing data is small, complete case analysis will be used.</p><p>Inclusion and exclusion criteria were defined at the establishment of the overarching ADVANCE Study. Female service personnel were not included due to the relatively small numbers of female combat trauma casu- alties during the Afghanistan campaign. As the primary focus of ADVANCE was originally to clarify long-term cardiovascular outcomes of injury, a decision was taken to exclude people with pre-existing cardiovascular disease (eg, diabetes), age-related vascular change (eg, those aged >50 years initially) or active infection at the time of recruitment (which could perturb physiological measure- ments). As the cohort has already been established, it is not feasible to deviate from these established criteria for substudies such as ADVANCE-TBI. While these criteria reduce the representativeness of the cohort in relation to the military population, we expect that the study will provide scientific insights, which will be more widely generalisable.</p><p><strong>Patient and public involvement</strong></p><p>The proposed work has been discussed and formulated with the ADVANCE participant group where there was widespread enthusiasm for the study, and agreement that the research set out in this protocol is needed, acceptable to the participants and feasible to perform.</p><p><strong>ETHICS AND DISSEMINATION</strong></p><p>The relevant ethical approvals have been granted by the MODREC (ref: 2126MODREC22). The study will</p><p><img src="/media/202408//1724838785.726709.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>9</strong></p><p><strong>Open access</strong></p><p>be performed in accordance with the recommenda- tions guiding ethical research involving human subjects adopted by the 18th World Medical Association General Assembly, Helsinki, Finland (June 1964), and amended at the 64th World Medical Association General Assembly, Fortaleza, Brazil (October 2013). The study will have minimal risk to the participants. Normal safety proce- duresincluding standard MRI safety checks (eg, for ferro- magnetic metal in the body) will be carried out prior to scans to minimise risk. MRI may be claustrophobic and loud for some participants. Participants will be made as comfortable as possible and will be able to communicate with the radiographer throughout the scan. Should the participant wish to not continue, the scan will be stopped immediately.</p><p><strong>Dissemination strategy</strong></p><p><a id="bookmark7"></a>Study findings will be disseminated through participant and stakeholder communications such as the regular <a id="bookmark8"></a>ADVANCE participant newsletter and website, and more broadly via manuscripts in peer-reviewed journals and presentations at scientific conferences.</p><p><strong>Author affiliations</strong></p><p>1Department of Brain Sciences, Imperial College London, London, UK</p><p>2UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, London, UK</p><p>3National Heart and Lung Institute, Imperial College London, London, UK</p><p>4Academic Department of Military Rehabilitation, Defence Medical Rehabilitation Centre, Loughborough, UK</p><p>5Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK</p><p>6Institute of Neurology, UCL Queen Square, London, UK</p><p>7UK Dementia Research Institute, University College London, London, UK</p><p>8Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK</p><p>9UK Dementia Research Institute, Cardiff University, Cardiff, UK</p><p>10King's Centre for Military Health Research, King's College London, London, UK</p><p>11Academic Department for Military Mental Health, King's College London, London, UK</p><p>12Centre for Injury Studies, Imperial College London, London, UK</p><p>13Department of Bioengineering, Imperial College London, London, UK</p><p><strong>Twitter </strong>Neil S N Graham <a href="https://twitter.com/nsngraham">@nsngraham</a></p><p><strong>Contributors </strong>DJS, AMJB, PC, CB, NTF, NSNG and KZ were involved in the design and conception of the study and protocol. The first draft was prepared by GB and NSNG. DJS, AMJB, KZ and SS revised initial iterations. SS provided statistical</p><p>review. NSNG, GB, KZ, DF, M-ED, EC, AH, HZ, VE-P, SS, NTF, CB, AMJB, PC,AB and DJS reviewed and approved the final version of the manuscript.</p><p><strong>Funding </strong>ADVANCE-TBI is funded by the ADVANCE Charity (award/grant number: NA). Key contributors to the ADVANCE Charity include Headley Court Charity</p><p>(principal funder), HM Treasury (LIBOR Grant), Help for Heroes, Nuffield Trust for the Forces of the Crown, Forces in Mind Trust, National Lottery Community Fund, Blesma—The Limbless Veterans and the UK Ministry of Defence (award/grant number: NA).</p><p><strong>Competing interests </strong>HZ has served at scientific advisory boards and/or as a</p><p>consultant for AbbVie,Alector, ALZPath, Annexon,Apellis, Artery Therapeutics,</p><p>AZTherapies, CogRx, Denali, Eisai, Nervgen, Novo Nordisk, Pinteon Therapeutics, Red Abbey Labs, reMYND, Passage Bio, Roche, Samumed, Siemens Healthineers, Triplet Therapeutics and Wave; has given lectures in symposia sponsored by</p><p>Cellectricon, Fujirebio, Alzecure, Biogen and Roche; and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). DJS provides medicolegal services and serves on the Rugby Football Union concussion advisory board.</p><p><strong>Patient and public involvement </strong>Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.</p><p><strong>Patient consent for publication </strong>Not required.</p><p><strong>Provenance and peer review </strong>Not commissioned; externally peer reviewed.</p><p><strong>Open access </strong>This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which</p><p>permits others to distribute, remix, adapt, build upon this work non-commercially,</p><p>and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: <a href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</a>.</p><p><strong>ORCID iDs</strong></p><p>Neil S N Graham <a href="http://orcid.org/0000-0002-0183-3368">http://orcid.org/0000-0002-0183-3368</a></p><p>Valentina Escott-Price <a href="http://orcid.org/0000-0003-1784-5483">http://orcid.org/0000-0003-1784-5483</a> NicolaT Fear <a href="http://orcid.org/0000-0002-5792-2925">http://orcid.org/0000-0002-5792-2925</a></p><p><strong>REFERENCES</strong></p><p>1 Maas AIR, Menon DK, Adelson PD, <em>et al</em>. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. <a href="http://dx.doi.org/10.1016/S1474-4422(17)30371-X"><em>Lancet Neurol</em></a><em> </em>2017;16:987–1048.</p><p>2 GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019:</p><p>a systematic analysis for the global burden of disease study 2019. <a id="bookmark9"></a><a href="http://dx.doi.org/10.1016/S0140-6736(20)30925-9"><em>Lancet</em></a><em> </em>2020;396:1204–22.</p><p>3 Goldstein LE, Fisher AM, Tagge CA, <em>et al</em>. Chronic traumatic</p><p>encephalopathy in blast-exposed military veterans and a blast <a id="bookmark10"></a>neurotrauma mouse model. <a href="http://dx.doi.org/10.1126/scitranslmed.3003716"><em>Sci Transl Med</em></a><em> </em>2012;4:134ra60.</p><p>4 Rona RJ, Jones M, Fear NT, <em>et al</em>. Mild traumatic brain injury in UK military personnel returning from Afghanistan and Iraq: cohort and cross-sectional analyses. <a href="http://dx.doi.org/10.1097/HTR.0b013e318212f814"><em>J Head Trauma Rehabil</em></a><em> </em>2012;27:33–44.</p><p>5 Tanielian T, Jaycox HL. <em>Invisible wounds of war psychological</em></p><p><em>and cognitive injuries, their consequences, and services to assist recovery</em>. RAND Centre for Military Health Policy Research,</p><p>2008: 1–499.</p><p>6 Zamorski MA, Boulos D. The impact of the military mission in Afghanistan on mental health in the Canadian armed forces: a summary of research findings. <a href="http://dx.doi.org/10.3402/ejpt.v5.23822"><em>Eur J Psychotraumatol</em></a><em> </em>2014;5.</p><p>7 Hooff MV, Saccone L, Clark L, <em>et al</em>. Mild traumatic brain injury (MTBI) in the australian defence force: results from the 2010 ADF mental</p><p>health prevalence and wellbeing dataset (monthly report). 2010. Available: <a href="https://www.defence.gov.au/sites/default/files/doc/files/2010_ADF_Mental_Health_Prevalence_Wellbeing_results_0.pdf">www.defence.gov.au/sites/default/files/doc/files/2010_</a> <a id="bookmark11"></a><a href="https://www.defence.gov.au/sites/default/files/doc/files/2010_ADF_Mental_Health_Prevalence_Wellbeing_results_0.pdf">ADF_Mental_Health_Prevalence_Wellbeing_results_0.pdf</a></p><p>8 Penn-Barwell JG, Roberts SAG, Midwinter MJ, <em>et al</em>. Improved</p><p>survival in UK combat casualties from Iraq and Afghanistan: 2003-</p><p><a id="bookmark12"></a>2012. <a href="http://dx.doi.org/10.1097/TA.0000000000000580"><em>J Trauma Acute Care Surg</em></a><em> </em>2015;78:1014–20.</p><p>9 McMillan TM, Teasdale GM, Weir CJ, <em>et al</em>. Death after head injury: the 13 year outcome of a case control study. <a href="http://dx.doi.org/10.1136/jnnp.2010.222232"><em>J Neurol Neurosurg</em></a><em> </em><a id="bookmark13"></a><a href="http://dx.doi.org/10.1136/jnnp.2010.222232"><em>Psychiatry</em></a><em> </em>2011;82:931–5.</p><p>10 Li Y, Li Y, Li X, <em>et al</em>. Head injury as a risk factor for dementia and Alzheimer’s disease: a systematic review and meta-analysis of 32 observational studies. <a href="http://dx.doi.org/10.1371/journal.pone.0169650"><em>PLoS One</em></a><em> </em>2017;12:e0169650.</p><p>11 Leung KK, Carr FM, Russell MJ, <em>et al</em>. Traumatic brain injuries among veterans and the risk of incident dementia: a systematic review &</p><p><a id="bookmark14"></a>meta-analysis. <a href="http://dx.doi.org/10.1093/ageing/afab194"><em>Age Ageing</em></a><em> </em>2022;51:afab194.</p><p>12 Priemer DS, Iacono D, Rhodes CH, <em>et al</em>. Chronic traumatic</p><p>encephalopathy in the brains of military personnel. <a href="http://dx.doi.org/10.1056/NEJMoa2203199"><em>N Engl J Med</em></a><em> </em>2022;386:2169–77.</p><p>13 Goldstein LE, Fisher AM, Tagge CA, <em>et al</em>. Chronic traumatic</p><p>encephalopathy in blast-exposed military veterans and a blast</p><p><a id="bookmark15"></a>neurotrauma mouse model. <a href="http://dx.doi.org/10.1126/scitranslmed.3003716"><em>Sci Transl Med</em></a><em> </em>2012;4:134ra60:134.:.</p><p>14 Graham NS, Sharp DJ. Understanding neurodegeneration after</p><p>traumatic brain injury: from mechanisms to clinical trials in dementia. <a id="bookmark16"></a><a href="http://dx.doi.org/10.1136/jnnp-2017-317557"><em>J Neurol Neurosurg Psychiatry</em></a><em> </em>2019;90:1221–33.</p><p>15 Jolly AE, Bălăeţ M, Azor A, <em>et al</em>. Detecting axonal injury in individual <a id="bookmark17"></a>patients after traumatic brain injury. <a href="http://dx.doi.org/10.1093/brain/awaa372"><em>Brain</em></a><em> </em>2021;144:92–113.</p><p>16 Munivenkatappa A, Bhagavatula ID, Shukla DP, <em>et al</em>. A longitudinal study of changes in diffusion tensor value and their association</p><p>with cognitive sequelae among patients with mild head injury. <a href="http://dx.doi.org/10.23736/S0390-5616.16.03112-X"><em>J</em></a><em> </em><a id="bookmark50"></a><a href="http://dx.doi.org/10.23736/S0390-5616.16.03112-X"><em>Neurosurg Sci</em></a><em> </em>2017;61:283–90.</p><p>17 Cole JH, Jolly A, de Simoni S, <em>et al</em>. Spatial patterns of progressive brain volume loss after moderate-severe traumatic brain injury. <a href="http://dx.doi.org/10.1093/brain/awx354"><em>Brain</em></a><em> </em>2018;141:822–36.</p><p><a id="bookmark18"></a>18 Graham NSN, Zimmerman KA, Moro F, <em>et al</em>. Axonal marker</p><p>neurofilament light predicts long-term outcomes and progressive</p><p><img src="/media/202408//1724838785.955594.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p><strong>10 </strong>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243</p><p><a id="bookmark44"></a><strong>Open</strong></p><p><strong>access</strong></p><p>neurodegeneration after traumatic brain injury. <a href="http://dx.doi.org/10.1126/scitranslmed.abg9922"><em>Sci Transl Med</em></a><em> </em>2021;13:eabg9922.</p><p><a id="bookmark19"></a>19 Shahim P, Politis A, van der Merwe A, <em>et al</em>. Time course and</p><p>diagnostic utility of NFL, tau, GFAP, and UCH-L1 in subacute and chronic TBI. <a href="http://dx.doi.org/10.1212/WNL.0000000000009985"><em>Neurology</em></a><em> </em>2020;95:e623–36.</p><p>20 Graham NSN, Zimmerman KA, Bertolini G, <em>et al</em>. Multicentre</p><p>longitudinal study of fluid and neuroimaging biomarkers of axonal injury after traumatic brain injury: the BIO-AX-TBI study protocol. <a id="bookmark20"></a><a href="http://dx.doi.org/10.1136/bmjopen-2020-042093"><em>BMJ Open</em></a><em> </em>2020;10:e042093.</p><p>21 Newcombe VFJ, Ashton NJ, Posti JP, <em>et al</em>. Post-Acute blood</p><p>biomarkers and disease progression in traumatic brain injury. <a href="http://dx.doi.org/10.1093/brain/awac126"><em>Brain</em></a><em> </em>2022;145:2064–76.</p><p><a id="bookmark21"></a>22 McFadyen CA, Zeiler FA, Newcombe V, <em>et al</em>. Apolipoprotein E4 polymorphism and outcomes from traumatic brain injury: a living systematic review and meta-analysis. <a href="http://dx.doi.org/10.1089/neu.2018.6052"><em>J Neurotrauma</em></a><em> </em>2021;38:1124–36.</p><p>23 SundströmA, Nilsson L-G, Cruts M, <em>et al</em>. Increased risk of dementia following mild head injury for carriers but not for non-carriers of the <a id="bookmark22"></a>APOE epsilon4 allele. <a href="http://dx.doi.org/10.1017/S1041610206003498"><em>Int Psychogeriatr</em></a><em> </em>2007;19:159–65.</p><p>24 Hayes JP, Logue MW, Sadeh N, <em>et al</em>. Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for <a id="bookmark57"></a>Alzheimer’s disease. <a href="http://dx.doi.org/10.1093/brain/aww344"><em>Brain</em></a><em> </em>2017;140:813–25.</p><p>25 Escott-Price V, Sims R, Bannister C, <em>et al</em>. Common polygenic variation enhances risk prediction for alzheimer’s disease. <a href="http://dx.doi.org/10.1093/brain/awv268"><em>Brain</em></a><em> </em>2015;138:3673–84.</p><p><a id="bookmark23"></a>26 Bennett AN, Dyball DM, Boos CJ, <em>et al</em>. Study protocol for a</p><p>prospective, longitudinal cohort study investigating the medical</p><p>and psychosocial outcomes of UK combat casualties from the</p><p>Afghanistan war: the advance study. <a href="http://dx.doi.org/10.1136/bmjopen-2020-037850"><em>BMJ Open</em></a><em> </em>2020;10:e037850.</p><p><a id="bookmark24"></a>27 Boos CJ, Schofield S, Cullinan P, <em>et al</em>. Association between combat-related traumatic injury and cardiovascular risk. <a href="http://dx.doi.org/10.1136/heartjnl-2021-320296"><em>Heart</em></a><em> </em>2022;108:367–74.</p><p><a id="bookmark25"></a>28 Dyball D, Bennett AN, Schofield S, <em>et al</em>. Mental health outcomes</p><p>of male UK military personnel deployed to Afghanistan and the role of combat injury: analysis of baseline data from the advance cohort <a id="bookmark27"></a>study. <a href="http://dx.doi.org/10.1016/S2215-0366(22)00112-2"><em>Lancet Psychiatry</em></a><em> </em>2022;9:547–54.</p><p>29 Graham NSN, Jolly A, Zimmerman K, <em>et al</em>. Diffuse axonal injury</p><p>predicts neurodegeneration after moderate-severe traumatic brain <a id="bookmark29"></a>injury. <a href="http://dx.doi.org/10.1093/brain/awaa316"><em>Brain</em></a><em> </em>2020;143:3685–98.</p><p>30 Malec JF, Brown AW, Leibson CL, <em>et al</em>. The Mayo classification system for traumatic brain injury severity. <a href="http://dx.doi.org/10.1089/neu.2006.0245"><em>J Neurotrauma</em></a></p><p>2007;24:1417–24.</p><p><a id="bookmark30"></a>31 Grinnon ST, Miller K, Marler JR, <em>et al</em>. National Institute of</p><p>neurological disorders and stroke common data element project- <a id="bookmark31"></a>approach and methods. <a href="http://dx.doi.org/10.1177/1740774512438980"><em>Clin Trials</em></a><em> </em>2012;9:322–9.</p><p>32 Corrigan JD, Bogner J. Initial reliability and validity of the Ohio</p><p>state university TBI identification method. <a href="http://dx.doi.org/10.1097/01.HTR.0000300227.67748.77"><em>J Head Trauma Rehabil</em></a><em> </em>2007;22:318–29.</p><p><a id="bookmark41"></a>33 Hampshire A, Trender W, Chamberlain SR, <em>et al</em>. Cognitive deficits in people who have recovered from COVID-19. <a href="http://dx.doi.org/10.1016/j.eclinm.2021.101044"><em>EClinicalMedicine</em></a><em> </em>2021;39:101044.</p><p><a id="bookmark43"></a>34 King NS, Crawford S, Wenden FJ, <em>et al</em>. The rivermead post</p><p>concussion symptoms questionnaire: a measure of symptoms</p><p>commonly experienced after head injury and its reliability. <a href="http://dx.doi.org/10.1007/BF00868811"><em>J Neurol</em></a><em> </em>1995;242:587–92.</p><p>35 Morin CM, Belleville G, Bélanger L,<em>et al</em>. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate</p><p><a id="bookmark45"></a>treatment response. <a href="http://dx.doi.org/10.1093/sleep/34.5.601"><em>Sleep</em></a><em> </em>2011;34:601–8.</p><p>36 Spitzer RL, Kroenke K, Williams JBW, <em>et al</em>. A brief measure for</p><p>assessing generalized anxiety disorder: the GAD-7. <a href="http://dx.doi.org/10.1001/archinte.166.10.1092"><em>Arch Intern Med</em></a><em> </em>2006;166:1092–7.</p><p><a id="bookmark46"></a>37 Blevins CA, Weathers FW, Davis MT, <em>et al</em>. The posttraumatic stress disorder checklist for DSM-5 (PCL-5): development and initial</p><p><a id="bookmark47"></a>psychometric evaluation. <a href="http://dx.doi.org/10.1002/jts.22059"><em>J Trauma Stress</em></a><em> </em>2015;28:489–98.</p><p>38 Herdman M, Gudex C, Lloyd A, <em>et al</em>. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). <a href="http://dx.doi.org/10.1007/s11136-011-9903-x"><em>Qual Life</em></a><em> </em><a id="bookmark39"></a><a href="http://dx.doi.org/10.1007/s11136-011-9903-x"><em>Res</em></a><em> </em>2011;20:1727–36.</p><p>39 Randolph C, Tierney MC, Mohr E, <em>et al</em>. The repeatable battery for the assessment of neuropsychological status (RBANS): preliminary <a id="bookmark40"></a>clinical validity. <a href="http://dx.doi.org/10.1076/jcen.20.3.310.823"><em>J Clin Exp Neuropsychol</em></a><em> </em>1998;20:310–9.</p><p>40 Booke K, Lu P, Herzberg D. <em>The dot counting test</em>. Western Psychological Services, 2002.</p><p><a id="bookmark48"></a>41 Smith SM, Jenkinson M, Johansen-Berg H, <em>et al</em>. Tract-based</p><p>spatial statistics: voxelwise analysis of multi-subject diffusion data. <a id="bookmark49"></a><a href="http://dx.doi.org/10.1016/j.neuroimage.2006.02.024"><em>Neuroimage</em></a><em> </em>2006;31:1487–505.</p><p>42 Bobinski M, de Leon MJ, Wegiel J, <em>et al</em>. The histological validation of post mortem magnetic resonance imaging-determined</p><p>hippocampal volume in Alzheimer’s disease. <a href="http://dx.doi.org/10.1016/s0306-4522(99)00476-5"><em>Neuroscience</em></a><em> </em>2000;95:721–5.</p><p><a id="bookmark51"></a>43 Ashburner J, Ridgway GR. Symmetric diffeomorphic modeling of <a id="bookmark52"></a>longitudinal structural MRI. <a href="http://dx.doi.org/10.3389/fnins.2012.00197"><em>Front Neurosci</em></a><em> </em>2012;6:197.</p><p>44 Sharp DJ, Beckmann CF, Greenwood R, <em>et al</em>. Default mode network functional and structural connectivity after traumatic brain injury.</p><p><a id="bookmark53"></a><a href="http://dx.doi.org/10.1093/brain/awr175"><em>BRAIN</em></a><em> </em>2011;134:2233–47.</p><p>45 Wilson DH, Rissin DM, Kan CW, <em>et al</em>. The simoa HD-1 analyzer:</p><p>a novel fully automated digital immunoassay analyzer with single-</p><p><a id="bookmark54"></a>molecule sensitivity and multiplexing. <a href="http://dx.doi.org/10.1177/2211068215589580"><em>J Lab Autom</em></a><em> </em>2016;21:533–47.</p><p>46 Blauwendraat C, Faghri F, Pihlstrom L, <em>et al</em>. NeuroChip, an updated version of the neurox genotyping platform to rapidly screen for</p><p>variants associated with neurological diseases. <a href="http://dx.doi.org/10.1016/j.neurobiolaging.2017.05.009"><em>Neurobiol Aging</em></a><em> </em>2017;57:247.</p><p><a id="bookmark55"></a>47 Leonenko G, Baker E, Stevenson-Hoare J, <em>et al</em>. Identifying</p><p>individuals with high risk of alzheimer’s disease using polygenic risk <a id="bookmark56"></a>scores. <a href="http://dx.doi.org/10.1038/s41467-021-24082-z"><em>Nat Commun</em></a><em> </em>2021;12:4506.</p><p>48 Kunkle BW, Grenier-Boley B, Sims R, <em>et al</em>. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ , tau, immunity and lipid processing. <a href="http://dx.doi.org/10.1038/s41588-019-0358-2"><em>Nat Genet</em></a><em> </em>2019;51:414–30.</p><p>49 Escott-Price V, Myers AJ, Huentelman M, <em>et al</em>. Polygenic risk score analysis of pathologically confirmed Alzheimer disease. <a href="http://dx.doi.org/10.1002/ana.24999"><em>Ann Neurol</em></a><em> </em>2017;82:311–4.</p><p><a id="bookmark58"></a>50 Hippisley-Cox J, Coupland C, Brindle P. Development and</p><p>validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. <a href="http://dx.doi.org/10.1136/bmj.j2099"><em>BMJ</em></a></p><p>2017;357:j2099.</p><p><a id="bookmark36"></a>51 Pearson. <em>Advanced clinical solutions for WAIS-IVand WMS-IV</em>. The Psychological Corporation, 2009.</p><p><a id="bookmark37"></a>52 Delis D, Kaplan E, Kramer J. <em>Delis-kaplan executive function system</em>. The Psychological Corporation, 2001.</p><p><a id="bookmark38"></a>53 Reitan RM. Validity of the TRAIL making test as an indicator of organic brain damage. <a href="http://dx.doi.org/10.2466/pms.1958.8.3.271"><em>Percept Mot Skills</em></a><em> </em>1958;8:271–6.</p><p><img src="/media/202408//1724838786.226342.png" /></p><p>BMJ Open: first published as 10.1136/bmjopen-2022-069243 on 21 March 2023. Down loaded from <a href="http://bmjopen.bmj.com/">http://bmjopen bmj com/</a> on November 29, 2023 by guest Protected by copyright </p><p>Graham NSN, et al. BMJ Open 2023;<strong>13</strong>:e069243. doi:10.1136/bmjopen-2022-069243 <strong>11</strong></p>
刘世财
2024年8月28日 17:53
转发文档
收藏文档
上一篇
下一篇
手机扫码
复制链接
手机扫一扫转发分享
复制链接
Markdown文件
HTML文件
PDF文档(打印)
分享
链接
类型
密码
更新密码