Literature DB >> 28068405

Head Injury as a Risk Factor for Dementia and Alzheimer's Disease: A Systematic Review and Meta-Analysis of 32 Observational Studies.

Yanjun Li1, Yongming Li1, Xiaotao Li2, Shuang Zhang1, Jincheng Zhao1, Xiaofeng Zhu3, Guozhong Tian1.   

Abstract

BACKGROUND: Head injury is reported to be associated with increased risks of dementia and Alzheimer's disease (AD) in many but not all the epidemiological studies. We conducted a systematic review and meta-analysis to estimate the relative effect of head injury on dementia and AD risks.
METHODS: Relevant cohort and case-control studies published between Jan 1, 1990, and Mar 31, 2015 were searched in PubMed, Web of Science, Scopus, and ScienceDirect. We used the random-effect model in this meta-analysis to take into account heterogeneity among studies.
RESULTS: Data from 32 studies, representing 2,013,197 individuals, 13,866 dementia events and 8,166 AD events, were included in the analysis. Overall, the pooled relative risk (RR) estimates showed that head injury significantly increased the risks of any dementia (RR = 1.63, 95% CI 1.34-1.99) and AD (RR = 1.51, 95% CI 1.26-1.80), with no evidence of publication bias. However, when considering the status of unconsciousness, head injury with loss of consciousness did not show significant association with dementia (RR = 0.92, 95% CI 0.67-1.27) and AD (RR = 1.49, 95% CI 0.91-2.43). Additionally, this positive association did not reach statistical significance in female participants.
CONCLUSIONS: The findings from this meta-analysis indicate that head injury is associated with increased risks of dementia and AD.

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Year:  2017        PMID: 28068405      PMCID: PMC5221805          DOI: 10.1371/journal.pone.0169650

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The estimated annual global incidence of head injury requiring medical attention or resulting in hospitalization or death is over 10 million, and the risk of subsequent morbidity, mortality and disability is high[1].Head injury is also the major cause of loss of years of productive life and is a social problem to which governments do not pay sufficient attention[2].Neurodegenerative diseases, including amyotrophic lateral sclerosis, Parkinson’s disease and Alzheimer’s disease (AD), have frequently been reported to develop in patients with head injury[3,4]. AD is the most common neurodegenerative disorder of modern societies accounting for 50–60% of all-cause dementia[5].The possibility that head injury may predispose a person to developing AD has significant social and medical implications. An association between head injury and AD is biologically plausible. Head injury can cause over-expression of the β-amyloid precursor protein, leading to the accumulation of β-amyloid deposits in the brain, similar to that seen in brains of AD patients[6]. Franzblau et al.[7]also suggest that the pathological link between head injury and AD may be due to the vascular damage, in that people with history of head injury are predisposed to AD symptoms due to altered brain vasculature; vice versa, the progression of AD pathology may be accelerated by head injury especially when the brain insult worsens hippocampal degeneration. However, the association between head injury and the risk of dementia has been debated in the epidemiological studies. Although some reports supported a positive relation with AD[8-10], other studies could not confirm head injury as a risk factor for dementia or AD[11-13].Therefore, there is no conclusive evidence to suggest a relationship between head injury and the risk of dementia. Given the inconsistency in the literature on the role of head injury and risk of dementia and AD, we conducted a meta-analysis to quantitatively assess the relation and the strength between head injury and the risk of dementia and AD.

Materials and Methods

Search strategy and selection criteria

We followed the guidelines published by the Meta-analysis of Observational Studies in Epidemiology (MOOSE) group (S1 Table)[14] and the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) group (S1 Appendix) to complete the meta-analysis.We systematically searched PubMed, Web of Science, Scopus, and ScienceDirect for reports published between Jan 1, 1990, and Mar 31, 2015, using a combined text and MeSH heading search strategy with the terms: “head injuries”, “head injury”, “brain injuries”, “brain injury”, “head trauma”, “brain trauma”, “traumatic brain injury”, “brain damage”, “dementia”, “Alzheimer's disease”, “Alzheimer disease”, “AD”, “Alzheimer's”, “cognitive decline”, and “neurocognitive impairment”. We also checked the reference lists of identified reports for other potentially relevant studies. We included studies after 1990, since we sought to examine evidence from the period most applicable to the present status of dementia and AD risks associated with head injury. The search strategy was limited to cohort studies and case-control studies. No attempt was made to find articles in languages other than English. We contacted the authors of the included studies to ask them for additional information and unpublished data as needed. A study was eligible for inclusion if the following criteria were met: (1) examination of head injury or traumatic brain injury (TBI) as the variable of interest; (2) determination of incidence of AD or other types of dementias as the outcome of interest; and (3) reporting the RRs or odds ratios (ORs) of dementia or AD with their 95% confidence intervals (CIs). The studies about animal experiment, mechanistic research and review research were excluded.

Data extraction and study quality evaluation

We extracted the characteristics of each included study, including author, study region, study design, sample size, mean age of the sample, exposure ascertainment, exposure variable, outcome (any dementia or AD), disease ascertainment, RRs or ORs with CIs, and factors adjusted for. The most adjusted estimate was included when a study reported more than one risk estimate, and crude risk estimate was included if a study did not adjust for other factors. For the purpose of sensitivity analysis, we also extracted information on minimally adjusted (crude or adjusted for sex and age) risk estimates from each study when available. The quality of each study was assessed by the Newcastle-Ottawa Scale recommended by Wells and colleagues[15].

Statistical analysis

A previous study indicated that OR is close to RR when the outcome is relatively uncommon (less than 20%)[16]. Thus, in our pooled analyses, ORs were considered equivalent to RRs since the incidence of dementia and AD was uncommon among the population (obviously below 20%) in the included studies. Pooled RRs were used as summary estimates throughout the procedure to simplify reporting[17].We used the random effects model to estimate the pooled RRs of dementia and AD associated with head injury to take into account heterogeneity among studies, since the study design and measuring time were varied across studies. The I-squared (I2) statistic and Q-statistic were used to explore the heterogeneity among studies. Large I2 (>50%) or P<0.10 for Q-statistic suggests substantial heterogeneity among studies. Subgroup analyses were performed according to the status of unconsciousness, including head injury regardless of status of unconsciousness, head injury with loss of consciousness (LOC), and head injury without LOC. We did several sensitivity analyses: mean age of the participants (≥65 year vs<65 years), sex, geographic location (Europe, North America, or Asia & Pacific), study design (cohort or case-control), exposure type (TBI or other types of head injury), disease ascertainment methods, study quality score (full marks or not full marks), and year of publication (pre-2000 or 2000 onwards). We also performed sensitivity analyses by removing each individual study from the meta-analysis. We used funnel plots to examine the presence of publication bias (ie, by plotting the natural log of the odds ratio against its standard error). Egger’s regression test and Begg-Mazumdar test were used to further assess publication bias. All statistical analyses were done with Stata Version 12.0 software (Stata Corp, College Station, TX).

Results

Study characteristics

The systematic search identified 2887 articles, which were assessed by title and abstract. Of these, 91 articles were qualified for selection (Fig 1, S2 Appendix). After full-text assessment, a total of 32 articles met the inclusion criteria and were included in the meta-analysis, including 11 cohort studies[10,12,18-26] and 21 case-control studies[8,9,11,13,27-43]. Table 1 shows the baseline characteristics of all 32 included studies. Of these studies, eleven reported on dementia incidence and twenty-eight on AD incidence. The sum number of individual studies was more than 32 because some studies reported both dementia and AD outcomes. Overall, data were available from 2,013,197 individuals, of whom 13,866 developed dementia and 8,166 developed AD. Head injury/TBI ascertainment was mainly based on detailed/structured interview with multiple questions or International Classification of Diseases codes. Thus, possible occurrence of memory bias may exist but was considered limited. The quality assessment of the included studies was presented in detail in the supplementary material (S2 and S3 Tables).
Fig 1

Flowchart for the selection of eligible studies.

Table 1

Characteristics of included studies.

AuthorRegionStudy designSample sizeAge, mean/range (years)Exposure ascertainmentExposure variableOutcomeDisease ascertainmentRR (95% CI)Adjustment
Abneret al, 2014The United StatesCohort64972.9/≥60Single questionHead injuryADCERAD1.47(1.03–2.09)*APOE-ε4, sex, age at death, presence of at least mild cerebral amyloid angiopathy, and whether AD was observed before death
1.18(0.83–1.68)**
Bachmanet al, 2003The United StatesCase-control277970.6/≥50Detailed interviewHead traumaADNINCDS-ADRDA2.40(1.80–3.10)Age, sex, education, head trauma, alcohol, and smoking
Boston et al, 1999The United KingdomCase-control39682.9/≥75Not reportedHead injuryDementiaMMSE and CAMDEX0.49(0.14–1.75)Age, social class, age of left school, family history of dementia, history of falls, history of heart attack, history of hypertension, blood pressure, smoking, drinking, psychiatric history, cholesterol, and HDL
AD0.80(0.44–1.43)
Broeet al, 1990AustraliaCase-control34078.1/52-96Detailed interviewAny head injuryADNINCDS-ADRDA1.33(0.46–3.83)Age and sex
1.75(0.52–5.88)*
Early head injuryAD1.60(0.53–4.84)
2.33(0.63–8.67)*
Dams-O'Connor et al, 2013The United StatesCohort422574.9/≥65Single questionTBI with LOCDementiaDSM-IV0.87(0.60–1.27)Age, age-squared, gender, and education
ADNINCDS-ADRDA0.95(0.65–1.38)
Ferini-Strambiet al, 1990ItalyCase-control18958.9/Not reportedStructured interviewHead injuryADFull-scale WAIS IQ and Blessed-Tomlinson-Roth Dementia Scale1.00(0.32–3.10)Age, sex, residential area, education and social status
Fischer et al, 2008AustriaCohort47975.8/75-76Structured interviewHead traumaADNINCDS-ADRDA0.46(0.16–1.31)None
Forster et al, 1995EnglandCase-control218Not reported/<65Standardised interviewAny head injuryADNINCDS-ADRDA1.20(0.57–2.56)Age and sex
Adult head injury1.50(0.68–3.41)
Childhoodhead injury0.70(0.14–2.81)
Fratiglioniet al, 1993SwedenCase-control314Not reported/≥75Structured interviewTBI with LOCADDSM-III-R and CDR0.30(0.10–1.20)Age, sex, education, type of informant, and alcohol consumption
Gardner et al, 2014The United StatesCohort16466171.6/≥55ICD-9TBIDementiaICD-9 codes for the diagnosis of dementia1.26(1.21–1.32)Age, sex, race, comorbidities, trauma mechanism, health care use, and trauma severity
Graves et al, 1990The United StatesCase-control26064.9/Not reportedStructured interviewAny head traumaADDSM-III and NINCDS-ADRDA3.50(1.50–8.30)Age and family history of AD
Head traumawith LOC2.90(1.10–7.53)
Head trauma without LOC5.50(1.35–22.50)
Guoet al, 2000The United States, Canada, and GermanyCase-control16901Not reportedStructured interviewAny head injuryADNINCDS-ADRDA2.70(2.20–3.30)Gender and kinship
Head injury with LOC4.00(2.90–5.50)
Head injury without LOC2.00(1.50–2.70)
Lee et al, 2013TaiwanCohort720933Not reported/≥18ICD-9Mild TBIDementiaICD-9-CM3.26(2.69–3.94)Age, gender, urbanization level, socio-economic status, diabetes, hyperlipidemia coronary artery disease, history of alcohol intoxication, ischemic stroke, intracranial hemorrhage and Charlson comorbidity index
Li et al, 1992ChinaCase-control21065.3/Not reportedStructured interviewHead injury with LOCADNINCDS-ADRDA and ICD-101.00(0.09–11.03)Age and sex
Lindsay et al, 2002CanadaCase-control408873.3/≥65Structured interviewHead injuryADNINCDS-ADRDA0.87(0.56–1.36)Age, sex and education
Luukinenet al, 2005FinlandCohort15275.1/≥70Medical examinationTBIDementiaDSM-IV and the MMSE2.80(1.35–5.81)Low educational status and sex
Mayeuxet al, 1993The United StatesCase-control33178.1/Not reportedStructured interviewHead injury with LOCADNational Institutes of Neurological Disorders and Stroke criteria3.70(1.40–9.70)Gender, age, ethnic group, years of education, and head injury
McDowell et al, 1994CanadaCase-control79380.9/≥65Structured interviewHead injuryADDSM-III-R and NINCDS-ADRDA1.66(0.97–2.84)Age, sex, residence in community or institution, and education
Mehta et al, 1999The NetherlandsCohort664568.9/≥55Detailed interviewHead trauma with LOCDementiaDSM-III-R and NINCDS-ADRDA1.00(0.50–2.00)Age, education, and if applicable, gender
AD0.80(0.40–1.90)
Dementia0.70(0.20–2.40)*
AD0.90(0.20–4.00)*
Dementia1.30(0.60–2.80)**
AD0.90(0.30–2.40)**
Nordstrom et al, 2014SwedenCohort81162218.0/Not reportedICD-8,9,10One mild TBIDementiaICD-8, 9, 101.50(1.10–2.00)*Age, place and year of conscription, overall cognitive function, alcohol intoxication, weight, height, knee extension strength, TBI in parents, dementia in parents, income, educational level, systolic blood pressure, drug intoxication, depression, and cerebrovascular disease
AD1.00(0.50–2.00)*
At least two mild TBIDementia1.80(1.10–3.00)*
AD2.50(0.80–8.10)*
One severe TBIDementia2.30(1.50–3.60)*
AD0.70(0.10–5.20)*
O'Meara et al, 1997The United StatesCase-control69178.0/≥60Detailed interviewHead injury with LOCADDSM-III-R and NINCDS-ADRDA2.10(1.10–3.80)None
4.20(1.50–11.50)*
1.10(0.50–2.60)**
Ogunniyiet al, 2006The United StatesCase-control52377.9/Not reportedScreening interviewHead injuryADNINCDS-ADRDA0.55(0.21–1.45))Age and gender
Nigeria47079.2/Not reported1.36(0.30–6.30))
Plassmanet al, 2000The United StatesCohort177672.9/Not reportedMedical recordHead injuryDementiaDSM-III-R and NINCDS-ADRDA2.46(1.43–4.24)*Years of education and age
AD2.16(1.10–4.23)*
Rasmussonet al, 1995The United StatesCase-control10271.0/Not reportedStandardized interviewHead injuryADNot reported13.75(1.76–107.52)None
Rippon et al, 2006The United StatesCase-control149868.2/Not-reportedStandardized interviewHead injuryADNINCDS-ADRDA1.00(0.70–1.60)ε4 status, age, gender, and education
Salibet al, 1997The United KingdomCase-control53875.1/>65Head injuryDementiaADNINCDS-ADRDA2.46(1.42–4.10)Age, sex, time lag between head injury and onset, duration of condition and family history of dementia
1.52(0.98–2.35)
2.10(1.10–4.10)*
1.38(0.74–2.60)**
Schofield et al, 1997The United StatesCohort27175.3/≥60Detailed interviewHead injury with LOCADNINCDS-ADRDA1.05(0.34–3.22)Sex and education
Suhanovet al, 2006RussiaCase-control52069.3/40-89Structured interviewHead injury with LOCADNINCDS-ADRDA1.70(1.00–2.80)Family history of dementia, family history of parkinsonism, and hypertension
Sundstromet al, 2007SwedenCase-control54372.8/40-85Medical record or interviewMild head injuryDementiaDSM-IV0.90(0.40–1.80)Age and gender
Tsolakiet al, 1997GreeceCase-control134Not reported/>70Structured interviewHead traumaADDSM-IV and NINCDS-ADRDA1.07(0.47–2.45)Age and gender
vanDuijnet al, 1992The NetherlandsCase-control39656.8/Not reportedStructured interviewHead trauma with LOCADNINCDS-ADRDA1.60(0.80–3.40)Age, sex, dementia in first-degree relatives and education
2.50(0.90–7.00)*
0.90(0.30–2.80)**
Wang et al, 2012TaiwanCohort26955040.8/≥15ICD-9TBIVascular dementiaICD-9-CM1.32(1.06–1.65)Sex, age group, year of index healthcare use, stroke, diabetes, hyperlipidaemia, hypertension, coronary heart disease, heart failure and arterial fibrillation
Unspecific dementia1.74(1.62–1.88)
AD1.49(1.08–2.07)

RR = relative risk. CI = confidence interval. AD = Alzheimer’s disease. CERAD = The Consortium to Establish a Registry for Alzheimer's Disease. MMSE = Mini-Mental State Examination test. CAMDEX = Cambridge Examination for Mental Disorders of the Elderly. TBI = traumatic brain injury. LOC = loss of consciousness. DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. NINCDS-ADRDA = National Institute of Neurological and Communicative Diseases and Stroke-Alzheimer Disease and Related Disorders Association. DSM-III-R = Diagnostic and Statistical Manual of Mental Disorders, third edition revised. ICD-9 = International Classification of Diseases, Ninth Revision. CDR = The Clinical Dementia Rating scale.

* Relative risks and 95% CIs for males.

** Relative risks and 95% CIs for females.

RR = relative risk. CI = confidence interval. AD = Alzheimer’s disease. CERAD = The Consortium to Establish a Registry for Alzheimer's Disease. MMSE = Mini-Mental State Examination test. CAMDEX = Cambridge Examination for Mental Disorders of the Elderly. TBI = traumatic brain injury. LOC = loss of consciousness. DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. NINCDS-ADRDA = National Institute of Neurological and Communicative Diseases and Stroke-Alzheimer Disease and Related Disorders Association. DSM-III-R = Diagnostic and Statistical Manual of Mental Disorders, third edition revised. ICD-9 = International Classification of Diseases, Ninth Revision. CDR = The Clinical Dementia Rating scale. * Relative risks and 95% CIs for males. ** Relative risks and 95% CIs for females.

Head injury and risk of dementia

The overall pooled RR based on all available data for any dementia risk associated with head injury was 1.63 (95% CI 1.34–1.99) (Fig 2). The I statistic for heterogeneity between studies was 91.2%, with p value for the Q test <0.001, suggesting substantial between-study heterogeneity. In the sub-group analyses, when regardless of status of unconsciousness, the pooled RR was 1.78 (95% CI 1.44–2.20); however, head injury with LOC did not show significant association with risk of dementia (RR = 0.92, 95% CI 0.67–1.27) (Fig 2).
Fig 2

Pooled relative risk for any dementia, comparing individuals with head injury to those without head injury.

Box sizes are in proportion to study weights. TBI = traumatic brain injury.

Pooled relative risk for any dementia, comparing individuals with head injury to those without head injury.

Box sizes are in proportion to study weights. TBI = traumatic brain injury.

Head injury and risk of AD

The pooled RR estimates for risk of AD associated with head injury was 1.51(95% CI 1.26–1.80) (Fig 3). The I statistic for heterogeneity between studies was 70.1%, with p value for the Q test <0.001, suggesting substantial between-study heterogeneity. In the subgroup analyses, head injury regardless of status of unconsciousness (RR = 1.41, 95% CI 1.15–1.73), head injury with LOC (RR = 1.56, 95% CI 1.01–2.43) and head injury without LOC (RR = 2.60, 95% CI 1.09–6.20) were all associated with increased risk of AD (Fig 3). Exclusion of the three studies with results not adjusted for other factors did not change the RR estimates (1.50 [1.26–1.80]) and did not reduce the between–study heterogeneity (I = 69.9%, p<0.001) (S1 Fig). However, the results did not show significant association between head injury with LOC and risk of AD (RR = 1.49, 95% CI 0.91–2.43) (S1 Fig).
Fig 3

Pooled relative risk for Alzheimer’s disease, comparing individuals with head injury to those without head injury.

Box sizes are in proportion to study weights. TBI = traumatic brain injury.

Pooled relative risk for Alzheimer’s disease, comparing individuals with head injury to those without head injury.

Box sizes are in proportion to study weights. TBI = traumatic brain injury.

Sensitivity analyses

In the sensitivity analyses, the pooled RRs for any dementia and AD did not differ significantly by mean age of the participants, sex, geographic location, study design, exposure type of head injury, disease ascertainment methods, study quality score, or year of publication (Fig 4). However, the RRs of any dementia and AD associated with head injury did not reach statistical significances in female participants, although the point estimates were over 1 (RR = 1.30, 95% CI 0.60–2.81, and RR = 1.17, 95% CI 0.89–1.53, respectively). When considering the types of head injury, TBI rather than other types of head injury showed significant association with increased risk of any dementia (RR = 1.69, 95% CI 1.34–2.12, and RR = 1.32, 95% CI 0.85–2.04, respectively), while other types of head injury rather than TBI showed significant association with increased risk of AD (RR = 1.60, 95% CI 1.32–1.93, and RR = 1.09, 95% CI 0.73–1.61, respectively). Additionally, the positive associations were not materially changed in the leave-one-out analyses by omitting one study in turn, with a pooled RR of any dementia range from 1.51 (95% CI 1.27–1.79) to 1.72 (95% CI 1.40–2.11) (S2 Fig), and a pooled RR of AD range from 1.45 (95% CI 1.23–1.72) to 1.54 (95% CI 1.29–1.84) (S3 Fig).In the sensitivity analyses, 11 risk estimates for dementia from 7 studies and 36 estimates for AD from 21 studies originally reporting minimally adjusted RRs with 95% CIs were included. The results were in line with the pooled estimates found in meta-analyses (data not shown).
Fig 4

Sensitivity analyses for estimated risks of any dementia (A) and Alzheimer’s disease (B).

TBI = traumatic brain injury. NINCDS-ADRDA = National Institute of Neurological and Communicative Diseases and Stroke-Alzheimer Disease and Related Disorders Association. DSM = Diagnostic and Statistical Manual of Mental Disorders.

Sensitivity analyses for estimated risks of any dementia (A) and Alzheimer’s disease (B).

TBI = traumatic brain injury. NINCDS-ADRDA = National Institute of Neurological and Communicative Diseases and Stroke-Alzheimer Disease and Related Disorders Association. DSM = Diagnostic and Statistical Manual of Mental Disorders.

Publication bias

Visual assessment of funnel plots showed that the studies were distributed fairly symmetrically about the combined effect size in both meta-analyses (Fig 5), which suggests little publication bias in our meta-analyses. Egger’s regression test (P = 0.327 and P = 0.139, respectively) and Begg-Mazumdar test (P = 0.255 and P = 0.958, respectively) further confirmed that there was no potential publication bias in both meta-analyses.
Fig 5

Funnel plot to explore publication bias in the estimates of any dementia (A) and Alzheimer’s disease (B).

The vertical line is at the mean effect size.

Funnel plot to explore publication bias in the estimates of any dementia (A) and Alzheimer’s disease (B).

The vertical line is at the mean effect size.

Discussion

In this pooled analysis of 32 observational studies, with data for more than two million individuals and more than 13,000 dementia events and 8,000 AD events, head injury was a risk factor for any dementia and AD. Indeed, we observed an overall 63% increase in any dementia risk and 51% increase in AD, comparing individuals with head injury to those without head injury. These findings add to the accumulating evidence that head injury may lead to neurodegenerative diseases, although current evidence from the literature is mixed. The findings of this pooled analysis are partially consistent with the positive association observed between head injury and AD observed in a meta-analysis that combined case-control studies that were conducted up to the year 2001[44]. The previous meta-analysis did not assess the relationship between head injury and risk of any dementia, and only included case-control studies that published before 2001. Our analysis included more studies than did the previous meta-analysis (11 compared with none and 28 compared with 15 for studies examining any dementia and AD, respectively), especially included many studies that published after 2001. Moreover, in our meta-analysis, we considered the status of unconsciousness and conducted sensitivity analyses for more variables in addition to gender, and the pooled estimate of the AD risk (RR = 1.51) was more precise (95% CI 1.26–1.80) than that of the other study. Perry et al assessed the relationship between TBI and subsequent neurological and psychiatric disease in a meta-analysis[45], using dementia and AD as subgroups of the overall analysis. Similarly, the studies relevant to dementia and AD were not enough comprehensive in their study (only included seven studies for dementia and nineteen for AD) and the relationship between TBI and dementia/AD was not well discussed. The relationship between any head injury and dementia/AD was not assessed in their meta-analysis either. In addition, Perry et al’s study did not find significant association between TBI and dementia (OR = 1.36, 95% CI 0.84–2.19), which is inconsistent with our result. This might be due to the limited number of studies that included in their meta-analysis. Our meta-analysis included not only retrospective case-control studies but also prospective cohort studies. An important strength of prospective studies is that recruitment takes place and information about head injury is recorded before participants know whether they will develop dementia or AD. The robustness of prospective data is demonstrated by the stability of the findings in the sensitivity analyses. When the retrospective studies were assessed in isolation in the sensitivity analyses, their aggregate findings differed from those of the prospective studies, which may be caused by biases in some retrospective studies. Many retrospective study results could have been somewhat biased by selective participation of head injury patients, and in all retrospective studies information about head injury was recorded after dementia or AD diagnosis, so there might have been differential recall of head injury. An interesting finding in our subgroup analyses indicated that head injury with LOC had no significant association with dementia, and had no significant association with AD in the meta-analysis that excluded studies with results not adjusted for other factors. However, head injury without LOC showed consistently positive association with AD. This finding conflicted with the preconceived opinion that more severe injury induces more serious complications. One primary possible explanation was that most included studies did not distinguish head injury with and without LOC. Thus, there were very limited studies in the head injury with LOC or without LOC subgroup, making the results of subgroup low of statistical power. More studies are needed to further assess the relative risk of dementia/AD induced by head injury with LOC and without LOC separately. Another explanation was that head injuries without LOC would be susceptible to greater recall bias, and if that were so, one might observe a greater risk for AD among head injured persons without than those with LOC[31]. Also, there may be a survivor bias, where people with history of more severe head injury who later enrolled in studies or survived into old age were the best able to recover from those injuries. In addition, the idea of the early pre clinical minor motor features of dementia leading to falls and minor head injury seems a much more probable explanation for our findings. Moreover, residual or unmeasured confounding factors, such as alcohol consumption, misuse prescribed opiates, and other psychiatric illnesses such as depression may also contribute to this anomalous result. Although this finding is consistent with the result of a large EURODEM pooled analysis of four European population-based studies which showed head trauma with unconsciousness was not associated with AD[46], the mechanism that the influence of head injury severity on dementia and AD need to be further clarified. In the sensitivity analyses by sex, the positive association between head injury and dementia/AD did not reach statistical significance in female participants. The previous meta-analysis also indicated that the excess risk of head injury in those with AD is only found in males[44]. The sex difference in the risk of dementia and AD following head injury may contribute to the role of the female hormones, oestrogen and progesterone. Animal models of stroke and TBI have suggested that these hormones may confer a neuroprotective and neuroregenerative effect[47,48]. In the animal model conducted by Bramlett and Dietrich[49],neuropathological protection effect after TBI was found in intact female rats versus males or ovariectomized females. Their results provided evidence for endogenous hormonal histopathological protection following brain injury. Moreover, oestrogen has been reported as a protective factor in the development of AD. The strengths of the present meta-analysis include that almost all the worldwide evidence from eligible epidemiological studies was included, as well as the acceptable methodologic quality of the studies on which the analysis is based. One limitation of our study is that all types of “head injury” were treated equally in the pooled analyses. Although we did sensitivity analyses by exposure type (TBI or other types of head injury), the results show that other types of head injury didn’t show significant association with increased risk of any dementia and TBI didn’t show significant association with increased risk of AD. This may be due to the limited number of studies included in the sensitivity analyses. More studies are needed to further clarify the relationship between a true TBI and the risk of dementia and AD. Other possible limitations of the study include the heterogeneity between the studies, including studies in which outcomes were recorded with different scales. Defining the status of head injury at baseline (cohort studies) or during the reference period (case-control studies) possibly caused the heterogeneity between the included studies, because the follow-up periods and the reference dates varied between the studies. Moreover, there were numerous differences in the analytic methods used to estimate the ORs and RRs among different studies, which may also contribute to the heterogeneity in the results. Therefore, our results must be interpreted with caution. We assumed that the true effect would vary between the studies because of potential additional heterogeneity in the populations, designs, and analyses of the various studies, in addition to the usual sampling variation in the estimates within studies. To account for the heterogeneity, we used the random effects model to combine the results of the original studies. The random-effect approach provides some allowance for heterogeneity in studies beyond sampling error. One can expect a very limited influence of heterogeneity by using the random effects model, although this does not necessarily rule out the effect of heterogeneity between the studies. Sensitivity analyses by some study-level factors were performed to further explore the sources of heterogeneity, but heterogeneity persisted after we performed relevant sensitivity analyses. Although the studies included in our meta-analysis were heterogeneous, the relation is largely consistent. Our meta-analysis is based on observational studies, and the possibility of selection bias, misclassification bias related to exposure, and failure to consider residual or unmeasured confounding cannot be ruled out. The assessment methods for head injury may also vary between the studies. The assessment in several included studies was based on self-reported questionnaire and medical records documenting the severity of injury were not accessed for all participants, and such data are subject to recall bias, especially for the patients with dementia and AD. Moreover, the present data do not address the important issues of whether a single head injury and repeated head injury can both increase the risk of dementia and AD, and whether a recent injury and an earlier injury on head or whether mild TBI and serious TBI have different impact on the risk of dementia and AD. Unfortunately, the data available in the current study do not allow for more refined categorisations of head injury. The time elapsed between head injury and dementia symptoms starting was reported rarely among the included studies, and this may be another limitation of this study. Besides, without autopsy confirmation, clinical diagnosis of AD is suspect due to all the “AD mimics”(hippocampal sclerosis, primary age-related lalopathy, Lewy body disease, vascular dementia, etc). Limitations aside, this meta-analysis remains the most comprehensive study to date that addressed the association between head injury and risk of dementia and AD. The diversity of location, ethnicity, age of participants, and head injury status reported in these studies also allows for increased generalisability of these results to other populations. However, studies included in our meta-analysis are mainly from Europe and The United States, thus, the results of our study must be interpreted with caution when generalized to populations from other regions. Although we recognize the methodological limitations of the studies included in this meta-analysis, our study does serve as a comprehensive review of this literature.

Conclusion

On the basis of epidemiologic evidence, we found that head injury was associated with an increased risk of dementia and AD. For further studies, based on our findings, we suggest that the investigators should improve the standardization of various assessment methods of head injury, dementia and AD. Furthermore, this study adds to the existing evidence that head injury may lead to neurodegenerative diseases, and the use of genetic and biological makers as surrogate end points in the future studies should help to clarify the case and effect relationship that links head injury and dementia and AD.

PRISMA 2009 Checklist.

(DOC) Click here for additional data file.

PRISMA 2009 Flow Diagram.

(TIF) Click here for additional data file.

Pooled relative risk for Alzheimer’s disease after exclusion of studies with results not adjusted for multiple covariates, comparing individuals with head injury to those without head injury.

Box sizes are in proportion to study weight. TBI = traumatic brain injury. (TIF) Click here for additional data file.

Sensitivity analyses.

Pooled relative risks for any dementia associated with head injury by omitting one study in turn. (TIF) Click here for additional data file. Pooled relative risks for Alzheimer’s disease associated with head injury by omitting one study in turn. (TIF) Click here for additional data file.

MOOSE Checklist.

(DOCX) Click here for additional data file.

Quality assessment of the included studies (cohort studies).

(DOCX) Click here for additional data file.

Quality assessment of the included studies (case-control studies).

(DOCX) Click here for additional data file.
  48 in total

1.  Comparison of Alzheimer's disease risk factors in white and African American families.

Authors:  D L Bachman; R C Green; K S Benke; L A Cupples; L A Farrer
Journal:  Neurology       Date:  2003-04-22       Impact factor: 9.910

Review 2.  Brain damage, sex hormones and recovery: a new role for progesterone and estrogen?

Authors:  D G Stein
Journal:  Trends Neurosci       Date:  2001-07       Impact factor: 13.837

3.  Head injury and the risk of Alzheimer's disease: a case control study.

Authors:  E Salib; V Hillier
Journal:  Int J Geriatr Psychiatry       Date:  1997-03       Impact factor: 3.485

4.  Documented head injury in early adulthood and risk of Alzheimer's disease and other dementias.

Authors:  B L Plassman; R J Havlik; D C Steffens; M J Helms; T N Newman; D Drosdick; C Phillips; B A Gau; K A Welsh-Bohmer; J R Burke; J M Guralnik; J C Breitner
Journal:  Neurology       Date:  2000-10-24       Impact factor: 9.910

5.  A case-control study of Alzheimer's disease in Australia.

Authors:  G A Broe; A S Henderson; H Creasey; E McCusker; A E Korten; A F Jorm; W Longley; J C Anthony
Journal:  Neurology       Date:  1990-11       Impact factor: 9.910

6.  The Canadian Study of Health and Aging: risk factors for Alzheimer's disease in Canada.

Authors: 
Journal:  Neurology       Date:  1994-11       Impact factor: 9.910

7.  Molecular dissection of the interaction between amyloid precursor protein and its neuronal trafficking receptor SorLA/LR11.

Authors:  Olav M Andersen; Vanessa Schmidt; Robert Spoelgen; Jørgen Gliemann; Joachim Behlke; Denise Galatis; William J McKinstry; Michael W Parker; Colin L Masters; Bradley T Hyman; Roberto Cappai; Thomas E Willnow
Journal:  Biochemistry       Date:  2006-02-28       Impact factor: 3.162

8.  Head injury as a risk factor for Alzheimer's disease: the evidence 10 years on; a partial replication.

Authors:  S Fleminger; D L Oliver; S Lovestone; S Rabe-Hesketh; A Giora
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-07       Impact factor: 10.154

9.  Rates and risk factors for dementia and Alzheimer's disease: results from EURODEM pooled analyses. EURODEM Incidence Research Group and Work Groups. European Studies of Dementia.

Authors:  L J Launer; K Andersen; M E Dewey; L Letenneur; A Ott; L A Amaducci; C Brayne; J R Copeland; J F Dartigues; P Kragh-Sorensen; A Lobo; J M Martinez-Lage; T Stijnen; A Hofman
Journal:  Neurology       Date:  1999-01-01       Impact factor: 9.910

10.  Risk factors for Alzheimer's disease: a prospective analysis from the Canadian Study of Health and Aging.

Authors:  Joan Lindsay; Danielle Laurin; René Verreault; Réjean Hébert; Barbara Helliwell; Gerry B Hill; Ian McDowell
Journal:  Am J Epidemiol       Date:  2002-09-01       Impact factor: 4.897

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  49 in total

1.  Meta-analytic evaluation of the association between head injury and risk of amyotrophic lateral sclerosis.

Authors:  Yukari Watanabe; Takamitsu Watanabe
Journal:  Eur J Epidemiol       Date:  2017-10-27       Impact factor: 8.082

2.  History of traumatic brain injury interferes with accurate diagnosis of Alzheimer's dementia: a nation-wide case-control study.

Authors:  Tejus Pradeep; Michael J C Bray; Siddharth Arun; Lisa N Richey; Sahar Jahed; Barry R Bryant; Christian LoBue; Constantine G Lyketsos; Paul Kim; Matthew E Peters
Journal:  Int Rev Psychiatry       Date:  2019-11-11

3.  Brain Injury and Later-Life Cognitive Impairment and Neuropathology: The Honolulu-Asia Aging Study.

Authors:  E Julia Chosy; Noele Gross; Marnie Meyer; Catherine Y Liu; Steven D Edland; Lenore J Launer; Lon R White
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 4.  Promoting Successful Cognitive Aging: A Ten-Year Update.

Authors:  Taylor J Krivanek; Seth A Gale; Brittany M McFeeley; Casey M Nicastri; Kirk R Daffner
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

5.  Safety and efficacy of Cerebrolysin in acute brain injury and neurorecovery: CAPTAIN I-a randomized, placebo-controlled, double-blind, Asian-Pacific trial.

Authors:  W Poon; C Matula; P E Vos; D F Muresanu; N von Steinbüchel; K von Wild; V Hömberg; E Wang; T M C Lee; S Strilciuc; J C Vester
Journal:  Neurol Sci       Date:  2019-09-07       Impact factor: 3.307

Review 6.  Gene-environment interactions in Alzheimer's disease: A potential path to precision medicine.

Authors:  Aseel Eid; Isha Mhatre; Jason R Richardson
Journal:  Pharmacol Ther       Date:  2019-03-12       Impact factor: 12.310

7.  Epigenetic Blockade of Hippocampal SOD2 Via DNMT3b-Mediated DNA Methylation: Implications in Mild Traumatic Brain Injury-Induced Persistent Oxidative Damage.

Authors:  Nagalakshmi Balasubramanian; Sneha Sagarkar; Amit G Choudhary; Dadasaheb M Kokare; Amul J Sakharkar
Journal:  Mol Neurobiol       Date:  2020-10-25       Impact factor: 5.590

8.  Traumatic brain injury associated with dementia risk among people with type 1 diabetes.

Authors:  Paola Gilsanz; Kathleen Albers; Michal Schnaider Beeri; Andrew J Karter; Charles P Quesenberry; Rachel A Whitmer
Journal:  Neurology       Date:  2018-09-26       Impact factor: 9.910

9.  The Association of Osteoarthritis and Related Pain Burden to Incident Alzheimer's Disease and Related Dementias: A Retrospective Cohort Study of U.S. Medicare Beneficiaries.

Authors:  Kim E Innes; Usha Sambamoorthi
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 10.  Childhood Lead Exposure and Adult Neurodegenerative Disease.

Authors:  Aaron Reuben
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

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