- Research article
- Open Access
- Open Peer Review
Reduced clinical and postmortem measures of cardiac pathology in subjects with advanced Alzheimer's Disease
© Beach et al; licensee BioMed Central Ltd. 2011
- Received: 29 April 2010
- Accepted: 25 January 2011
- Published: 25 January 2011
Epidemiological studies indicate a statistical linkage between atherosclerotic vascular disease (ATH) and Alzheimer's disease (AD). Autopsy studies of cardiac disease in AD have been few and inconclusive. In this report, clinical and gross anatomic measures of cardiac disease were compared in deceased human subjects with and without AD.
Clinically documented cardiovascular conditions from AD (n = 35) and elderly non-demented control subjects (n = 22) were obtained by review of medical records. Coronary artery stenosis and other gross anatomical measures, including heart weight, ventricular wall thickness, valvular circumferences, valvular calcifications and myocardial infarct number and volume were determined at autopsy.
Compared to non-demented age-similar control subjects, those with AD had significantly fewer total diagnosed clinical conditions (2.91 vs 4.18), decreased coronary artery stenosis (70.8 vs 74.8%), heart weight (402 vs 489 g for males; 319 vs 412 g for females) and valvular circumferences. Carriage of the Apolipoprotein E-ε4 allele did not influence the degree of coronary stenosis. Group differences in heart weight remained significant after adjustment for age, gender, body mass index and apolipoprotein E genotype while differences in coronary artery stenosis were significantly associated with body mass index alone.
The results are in agreement with an emerging understanding that, while midlife risk factors for ATH increase the risk for the later development of AD, once dementia begins, both risk factors and manifest disease diminish, possibly due to progressive weight loss with increasing dementia as well as disease involvement of the brain's vasomotor centers.
- Coronary Artery Stenosis
- Heart Weight
- Valve Calcification
- Ventricular Wall Thickness
- Neuropathological Diagnosis
Alzheimer's disease (AD) is the most common neurodegenerative brain disease and the most common cause of dementia in the elderly. The disease has a progressive course over several years that often leaves the victim uncommunicative and bedridden. Five million Americans have AD and the cost of the disease to the US is estimated at $100 billion annually. Finding a cure or prevention for AD is an important national goal. Over the last decade considerable evidence has accumulated supporting a statistical linkage between atherosclerotic vascular disease (ATH) and AD. Several established risk factors for atherosclerosis, including hypertension, hypercholesterolemia, diabetes, cigarette smoking and the apolipoprotein E- ε4 allele have also been found to be risk factors for the development of AD [1–3]. This has important implications since major complications of ATH such as myocardial infarction and stroke are to a significant degree preventable through lifestyle modification and medications. If ATH and AD share aspects of their pathogenesis, AD may also be to some extent preventable through similar measures.
The relationship between AD and ATH is complex, however, and not completely understood. While elevated midlife ATH risk factors appear to increase the risk for developing AD in late life [4–6], once dementia begins, these same risk factors may diminish, perhaps due to molecular changes associated with AD, to decreased caloric intake and/or increased caloric expenditure or to reduced survival of those with high ATH risk factors [7–9].
The majority of the evidence linking AD and ATH has come from epidemiological and clinical studies. These are compromised by the inaccuracy of the clinical diagnosis of AD  and by the mostly indirect determinations of the presence and extent of ATH. Autopsy studies are a powerful method for investigating this issue as they offer a high diagnostic accuracy for AD and direct and accurate measures of ATH. To date, autopsy studies have reported a strong relationship between intracranial ATH and AD [11–13] while the correlation with coronary artery disease (CAD) has been less clear. Some groups have found a strong association [14–16] while others have failed to find an association [17, 18]. A common limitation of these studies has been that the assessment of the degree of CAD has been solely through gross semi-quantitative estimates of the extent of stenosis, done routinely at autopsy and not specifically intended for research use. In this report, coronary artery stenosis in 57 deceased human subjects with and without a neuropathological diagnosis of AD was quantitatively assessed at multiple points along the coronary arterial system using computer-assisted image analysis. These measures, as well as measures of myocardial infarction volume, heart weight, ventricular wall thickness, valve circumferences and valve calcifications, were compared in AD and non-demented age-similar control subjects. Additionally, the prevalence of clinically-reported cardiovascular conditions and the apolipoprotein E (apoE) genotype were compared in the two groups.
The study took place as part of the Banner Sun Health Research Institute Brain and Body Donation Program, which is a longitudinal, clinicopathologic study of normal aging and neurodegenerative disease in volunteers derived primarily from the surrounding retirement communities of Sun City, Sun City West, and Sun City Grand, Arizona . The Program is approved by the Institutional Review Board of Banner Health, a regional, not-for-profit health care provider. Written informed consent was obtained from all subjects or their legal representatives.
Standardized clinical assessments were performed on most subjects every one to two years and at a minimum included a medical and family history questionnaire, height and weight measurements, the Folstein Mini-Mental State Examination (MMSE), one or more functional cognitive assessments and a neuropsychological test battery consisting of specific elements relating to attention, memory, language, visuospatial function and frontal/executive function. Dementia was diagnosed according to DSM-IV criteria, requiring an impairment of memory with one other abnormality of cognition, functional disability, and preservation of consciousness.
The neuropathological diagnosis of AD was made according to standardized criteria (National Institute on Aging/Reagan Institute "intermediate" or "high" probability") . Inclusion criteria specified subjects whose autopsy had included the heart and had either a neuropathological diagnosis of AD or who had been clinically non-demented. Exclusion criteria specified subjects with a cause of dementia other than AD, including vascular dementia. Global cerebral senile plaque and neurofibrillary tangle load scores were obtained by summation of separate semi-quantitative density estimates of none, sparse, moderate or frequent (converted to 0-3 for statistical purposes) using standardized published templates . Regions scored included cortical gray matter from frontal, parietal, temporal, hippocampal and entorhinal regions.
The epicardial coronary arteries were dissected out and then both arteries and hearts were fixed in formalin at 4 degrees C for 10 days followed by storage in phosphate-buffered saline with 0.1% sodium azide. The right coronary artery, marginal branch, right posterior descending, left coronary artery, circumflex artery and left anterior descending artery were cut every 5 mm into cross-sections that were examined using a Leica S8APO dissecting microscope. Digital photographs of the cross-sections were taken and measurements of the arteries' external and luminal areas were calculated using a desktop minicomputer with dedicated software (ImagePro Express, v.4.0; Media Cybernetics, Silver Spring, MD). An index of stenosis was calculated for each cross-section by subtracting the intraluminal area from the total area, dividing the difference by the total area and multiplying the quotient by 100. Hearts with surgical coronary artery bypasses (4 control subjects and 3 AD subjects) were excluded from the analysis.
Other heart measurements included heart weight, left and right ventricular wall thickness, valvular circumferences, presence or absence of valvular calcification and presence and volume of myocardial infarctions (MI). To assess the last-named, the left and right ventricles were sliced axially at 1 cm intervals and the number and volume of grossly-visible myocardial scars determined.
The Body Mass Index (BMI) was calculated for each subject from the last recorded height and weight measurements prior to death. ApoE genotyping was done with postmortem brain tissue using a standard technique .
Medical records from the subjects' private physicians were reviewed to record the number of cardiovascular risk factors and disease conditions that had been clinically diagnosed. These were grouped into the following categories: hypertension, hyperlipidemia/dyslipidemia, diabetes mellitus (type II), CAD, myocardial infarction, carotid artery disease, congestive heart failure, stroke/transient ischemic attack (TIA), valvular disease, peripheral arterial disease and arrhythmia. The timespan covered by the medical records available for review was also recorded.
Medication history is obtained from subjects at the time of their scheduled clinical research assessments. The analysis included all cardiovascular-related medications, grouped by medication class, that had been taken on the final clinical assessment. The medication classes were designated as anti-angina, anti-arrhythmia, anti-platelet, anti-diabetes, anti-hypertensive and lipid-lowering agents.
Statistical tests included unpaired, two-tailed t-tests to compare group means for individual measures, chi-square tests and Fisher's Exact tests for proportional differences, and logistic regression analysis to assess the independent effects on cardiovascular pathology measures of diagnosis, age, gender, BMI and apoE genotype. The significance level for all tests was set at 0.05.
General characteristics of the study subjects.
AD N = 35
C N = 22
Senile plaque density score
Neurofibrillary tangle density score
Brain weight (g)
Number and percentage with the ApoE ε4 allele
Clinically documented cardiovascular risk factors and disease conditions amongst study subjects.
Coronary Artery Disease
Congestive heart failure
Carotid artery disease
Stroke/Transient ischemic attack
Peripheral vascular disease
Total Number of Conditions
Timespan covered by records (months)
Proportion and percentage of subjects taking cardiovascular-related medication types at the last clinical assessment prior to death.
A greater proportion of control subjects had myocardial infarctions (50% vs 28.6%) but this did not meet the significance level (p = 0.10). The mean MI volume was higher in control subjects than in AD subjects (3.56 vs 1.65 cm3) but the again the difference was not significant.
Comparison of heart weight, ventricular thickness, and valve circumferences, with respect to diagnosis and gender.
Heart Weight (g)
Mean LV greatest thickness (cm)
Mean RV greatest thickness (cm)
Tricuspid valve circumference (cm)
Pulmonary valve circumference (cm)
Mitral valve circumference (cm)
Aortic valve circumference (cm)
Tricuspid valve calcification was uncommon and there were no subjects with pulmonary valve calcification. Mitral and aortic valve calcification was present in 50% to 68% of subjects. The proportional differences between groups did not differ significantly for any of the valves.
Logistic regression analysis was performed to further investigate the two major findings, i.e. decreased heart weight and decreased coronary artery stenosis in AD subjects. Assignment of greater pathology status was based on measurements above the median value for all subjects. The analysis was primarily for the effect of diagnostic status as AD or control and was adjusted for age, gender, apoE genotype and BMI. Diagnostic status had a significant effect (p < 0.05, Wald p-value) on heart weight. None of the other variables had a significant association with heart weight but BMI was close to the significance level (p = 0.067, Wald p-value) and thus may have been significant with a larger subject number. Controls were 4.47 times more likely (OR = 4.47) to have increased heart weights. For the analysis of coronary artery stenosis, diagnostic status had no significant effect while BMI was the sole significant variable (p < 0.05, Wald p value). Each point increase in BMI was associated with a 1.24% increase in coronary artery stenosis (OR = 1.24).
The "vascular hypothesis" of AD is as old as the disease itself, as many early investigators assumed that AD was caused by cerebral atherosclerosis. Others, including Alzheimer himself, believed that the two processes were unrelated. The relationship between AD and cerebrovascular disease was eventually revised to the point of complete separation due to a series of postmortem investigations during the 1950's and 1960's .
The discovery in 1993 of the association of the apoE-ε4 allele with AD  revived interest in the vascular hypothesis as the ε4 allele was already known to be associated with coronary atherosclerosis. Subsequent epidemiologic and clinical investigations have established that multiple additional ATH risk factors are also risk factors for AD [1–3]. There have been relatively few confirmatory autopsy studies but the published reports to date indicate a strong relationship between intracranial ATH and AD [11–13, 25] while the correlation with CAD has been less clear [14–18]. The present study has utilized precise coronary artery stenosis measurements and neuropathologically examined subjects in an attempt to provide more clarity on this subject. Additionally, measures of general heart pathology have been compared.
The results show a clear tendency for better cardiovascular health in the AD group. Of ten clinically documented cardiovascular risk factors or disease conditions, nine occurred more frequently in the control group. Only stroke/TIA was more frequent in the AD subjects. In terms of gross anatomy, the control group had greater coronary artery stenosis, a greater proportion with myocardial infarcts, larger myocardial infarcts, greater heart weights, thicker ventricular walls and greater triscuspid and mitral valve circumferences. For every medication class except anti-platelet agents, a smaller proportion of AD subjects were taking the agents, making it unlikely that these findings were due to increased anti-cardiovascular disease treatment in AD subjects.
Previous autopsy studies of the heart in AD are relatively scarce but are mostly in agreement with the present study. Heart weights, in particular, have been reported to be lower in AD in two previous studies [15, 26]. One previous study has reported less coronary artery stenosis in subjects with AD . Two studies by another group [18, 27] did not report directly on coronary artery atherosclerosis but instead used a cardiovascular pathology index (CVI) composed of several gross anatomical measures including heart weight, coronary artery atherosclerosis, myocardial infarctions, peripheral artery atherosclerosis and intracranial atherosclerosis. Their results showed less cardiovascular pathology in AD and an inverse correlation with the densities of the histopathologic lesions of AD. One group reported mildly increased CAD in AD subjects . Possible reasons for the discrepancy between this last study and the present report are the smaller size and lower BMI of the control group in the previous study (N = 12; BMI = 23.0) as compared to the present study (N = 22; BMI = 26.2). It is possible that the method of assessing CAD differed between the two studies but as this was not described in the previous study no conclusions can be made regarding this issue. To our knowledge, the present study is the first to use precise, computer-assisted image analysis to determine the degree of coronary artery stenosis in AD and control subjects.
Although the apoE-ε4 allele has been reported to be associated with clinical CAD, the present findings are in agreement with studies finding no association. In terms of the interaction of the ε4 allele with both coronary atherosclerosis and AD, one study has reported that the ε4 allele correlated with increased coronary atherosclerosis within AD subjects  but did not compare coronary atherosclerosis in AD subjects with that in control subjects. Another study reported that the degree of coronary atherosclerosis correlated with the density of AD-related histopathologic lesions in subjects carrying the ε4 allele .
The results of this study support an emerging body of data consistent with decreased cardiovascular risk factors and disease conditions in elderly subjects with AD [27–29]. This has been somewhat surprising as authoritative reports from groups conducting population-based longitudinal studies have indicated that ATH risk factors including hypertension and hypercholesterolemia, when present in midlife, are strongly predictive for the development of AD in late life [4–6]. It has been postulated that the reversal of cardiovascular pathology in elderly AD subjects may arise due to molecular or neuropathological factors [7–9] associated with AD. For example, brainstem neurons that contribute to vasomotor regulation are lost in AD and this could result in decreased blood pressure and heart weight. Although we did not have longitudinal data confirming progressive weight loss over time in our AD subjects, this has been documented in several longitudinal studies [30–33] and therefore it seems likely that this plays a major role as well.
The present study has found consistently decreased measures of both clinical and gross anatomic indices of cardiovascular disease, including coronary artery stenosis and cardiac hypertrophy, in elderly AD subjects as compared with age-similar non-demented subjects. The reasons for this are uncertain but may be due to progressive weight loss in AD subjects as well as to disease-specific effects on brain vasomotor regulatory neurons.
This research was supported by the citizens of Sun City, Sun City West and Sun City Grand, the National Institute on Aging (P30 AG19610 Arizona Alzheimer's Disease Core Center), the Arizona Department of Health Services (contract 211002, Arizona Alzheimer's Consortium), the Arizona Biomedical Research Commission (contracts 4001, 0011 and 05-901) and the Michael J. Fox Foundation for Parkinson's Research.
- Nash DT, Fillit H: Cardiovascular disease risk factors and cognitive impairment. Am J Cardiol. 2006, 97: 1262-1265. 10.1016/j.amjcard.2005.12.031.View ArticlePubMedGoogle Scholar
- Wolozin B, Bednar MM: Interventions for heart disease and their effects on Alzheimer's disease. Neurol Res. 2006, 28: 630-636. 10.1179/016164106X130515.View ArticlePubMedPubMed CentralGoogle Scholar
- Luchsinger JA, Reitz C, Honig LS, Tang MX, Shea S, Mayeux R: Aggregation of vascular risk factors and risk of incident Alzheimer disease. Neurology. 2005, 65: 545-551. 10.1212/01.wnl.0000172914.08967.dc.View ArticlePubMedPubMed CentralGoogle Scholar
- Kivipelto M, Helkala EL, Laakso MP, Hanninen T, Hallikainen M, Alhainen K, Soininen H, Tuomilehto J, Nissinen A: Midlife vascular risk factors and Alzheimer's disease in later life: longitudinal, population based study. BMJ. 2001, 322: 1447-1451. 10.1136/bmj.322.7300.1447.View ArticlePubMedPubMed CentralGoogle Scholar
- Launer LJ, Ross GW, Petrovitch H, Masaki K, Foley D, White LR, Havlik RJ: Midlife blood pressure and dementia: the Honolulu-Asia aging study. Neurobiol Aging. 2000, 21: 49-55. 10.1016/S0197-4580(00)00096-8.View ArticlePubMedGoogle Scholar
- Skoog I, Lernfelt B, Landahl S, Palmertz B, Andreasson LA, Nilsson L, Persson G, Oden A, Svanborg A: 15-year longitudinal study of blood pressure and dementia. Lancet. 1996, 347: 1141-1145. 10.1016/S0140-6736(96)90608-X.View ArticlePubMedGoogle Scholar
- Bergmann C, Sano M: Cardiac risk factors and potential treatments in Alzheimer's disease. Neurol Res. 2006, 28: 595-604. 10.1179/016164106X130498.View ArticlePubMedGoogle Scholar
- Mielke MM, Zandi PP, Sjogren M, Gustafson D, Ostling S, Steen B, Skoog I: High total cholesterol levels in late life associated with a reduced risk of dementia. Neurology. 2005, 64: 1689-1695. 10.1212/01.WNL.0000161870.78572.A5.View ArticlePubMedGoogle Scholar
- Rosano C, Newman AB: Cardiovascular disease and risk of Alzheimer's disease. Neurol Res. 2006, 28: 612-620. 10.1179/016164106X130407.View ArticlePubMedGoogle Scholar
- Mayeux R, Saunders AM, Shea S, Mirra S, Evans D, Roses AD, Hyman BT, Crain B, Tang MX, Phelps CH: Utility of the apolipoprotein E genotype in the diagnosis of Alzheimer's disease. Alzheimer's Disease Centers Consortium on Apolipoprotein E and Alzheimer's Disease. N Engl J Med. 1998, 338: 506-511. 10.1056/NEJM199802193380804.View ArticlePubMedGoogle Scholar
- Beach TG, Wilson JR, Sue LI, Newell A, Poston M, Cisneros R, Pandya Y, Esh C, Connor DJ, Sabbagh M, Walker DG, Roher AE: Circle of Willis atherosclerosis: association with Alzheimer's disease, neuritic plaques and neurofibrillary tangles. Acta Neuropathol. 2007, 113: 13-21. 10.1007/s00401-006-0136-y.View ArticlePubMedGoogle Scholar
- Roher AE, Esh C, Kokjohn TA, Kalback W, Luehrs DC, Seward JD, Sue LI, Beach TG: Circle of Willis atherosclerosis is a risk factor for sporadic Alzheimer's disease. Arterioscler Thromb Vasc Biol. 2003, 23: 2055-2062. 10.1161/01.ATV.0000095973.42032.44.View ArticlePubMedGoogle Scholar
- Honig LS, Kukull W, Mayeux R: Atherosclerosis and AD: analysis of data from the US National Alzheimer's Coordinating Center. Neurology. 2005, 64: 494-500.View ArticlePubMedGoogle Scholar
- Sparks DL, Scheff SW, Liu H, Landers TM, Coyne CM, Hunsaker JC: Increased incidence of neurofibrillary tangles (NFT) in non-demented individuals with hypertension. J Neurol Sci. 1995, 131: 162-169. 10.1016/0022-510X(95)00105-B.View ArticlePubMedGoogle Scholar
- Beeri MS, Rapp M, Silverman JM, Schmeidler J, Grossman HT, Fallon JT, Purohit DP, Perl DP, Siddiqui A, Lesser G, Rosendorff C, Haroutunian V: Coronary artery disease is associated with Alzheimer disease neuropathology in APOE4 carriers. Neurology. 2006, 66: 1399-1404. 10.1212/01.wnl.0000210447.19748.0b.View ArticlePubMedPubMed CentralGoogle Scholar
- Sparks DL, Hunsaker JC, Scheff SW, Kryscio RJ, Henson JL, Markesbery WR: Cortical senile plaques in coronary artery disease, aging and Alzheimer's disease. Neurobiol Aging. 1990, 11: 601-607. 10.1016/0197-4580(90)90024-T.View ArticlePubMedGoogle Scholar
- Corder EH, Ervin JF, Lockhart E, Szymanski MH, Schmechel DE, Hulette CM: Cardiovascular damage in Alzheimer disease: autopsy findings from the Bryan ADRC. J Biomed Biotechnol. 2005, 2005: 189-197. 10.1155/JBB.2005.189.View ArticlePubMedPubMed CentralGoogle Scholar
- Alafuzoff I, Helisalmi S, Mannermaa A, Soininen H: Severity of cardiovascular disease, apolipoprotein E genotype, and brain pathology in aging and dementia. Ann N Y Acad Sci. 2000, 903: 244-251. 10.1111/j.1749-6632.2000.tb06374.x.View ArticlePubMedGoogle Scholar
- Beach TG, Sue LI, Walker DG, Roher AE, Lue L, Vedders L, Connor DJ, Sabbagh MN, Rogers J: The Sun Health Research Institute Brain Donation Program: description and experience, 1987-2007. Cell Tissue Bank. 2008, 9: 229-245. 10.1007/s10561-008-9067-2.View ArticlePubMedPubMed CentralGoogle Scholar
- Consensus recommendations for the postmortem diagnosis of Alzheimer's disease. The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer's Disease. Neurobiol Aging. 1997, 18: S1-S2. 10.1016/S0197-4580(97)00057-2.Google Scholar
- Mirra SS, Heyman A, McKeel D, Sumi SM, Crain BJ, Brownlee LM, Vogel FS, Hughes JP, van Belle G, Berg L: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease. Neurology. 1991, 41: 479-486.View ArticlePubMedGoogle Scholar
- Hixson JE, Vernier DT: Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. J Lipid Res. 1990, 31: 545-548.PubMedGoogle Scholar
- Beach TG: The history of Alzheimer's disease: three debates. J Hist Med Allied Sci. 1987, 42: 327-349. 10.1093/jhmas/42.3.327.View ArticlePubMedGoogle Scholar
- Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, Roses AD, Haines JL, Pericak-Vance MA: Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. Science. 1993, 261: 921-923. 10.1126/science.8346443.View ArticlePubMedGoogle Scholar
- Kalback W, Esh C, Castano EM, Rahman A, Kokjohn T, Luehrs DC, Sue L, Cisneros R, Gerber F, Richardson C, Bohrmann B, Walker DG, Beach TG, Roher AE: Atherosclerosis, vascular amyloidosis and brain hypoperfusion in the pathogenesis of sporadic Alzheimer's disease. Neurol Res. 2004, 26: 525-539. 10.1179/016164104225017668.View ArticlePubMedGoogle Scholar
- Kosunen O, Talasniemi S, Lehtovirta M, Heinonen O, Helisalmi S, Mannermaa A, Paljarvi L, Ryynanen M, Riekkinen PJ, Soininen H: Relation of coronary atherosclerosis and apolipoprotein E genotypes in Alzheimer patients. Stroke. 1995, 26: 743-748.View ArticlePubMedGoogle Scholar
- Irina A, Seppo H, Arto M, Paavo R, Hilkka S: beta-amyloid load is not influenced by the severity of cardiovascular disease in aged and demented patients. Stroke. 1999, 30: 613-618.View ArticlePubMedGoogle Scholar
- Sanderson M, Wang J, Davis DR, Lane MJ, Cornman CB, Fadden MK: Co-morbidity associated with dementia. Am J Alzheimers Dis Other Demen. 2002, 17: 73-78. 10.1177/153331750201700210.View ArticlePubMedGoogle Scholar
- Wolf-Klein GP, Siverstone FA, Brod MS, Levy A, Foley CJ, Termotto V, Breuer J: Are Alzheimer patients healthier?. J Am Geriatr Soc. 1988, 36: 219-224.View ArticlePubMedGoogle Scholar
- Wang PN, Yang CL, Lin KN, Chen WT, Chwang LC, Liu HC: Weight loss, nutritional status and physical activity in patients with Alzheimer's disease. A controlled study. J Neurol. 2004, 251: 314-320. 10.1007/s00415-004-0316-4.View ArticlePubMedGoogle Scholar
- Barrett-Connor E, Edelstein SL, Corey-Bloom J, Wiederholt WC: Weight loss precedes dementia in community-dwelling older adults. J Am Geriatr Soc. 1996, 44: 1147-1152.View ArticlePubMedGoogle Scholar
- White H, Pieper C, Schmader K, Fillenbaum G: A longitudinal analysis of weight change in Alzheimer's disease. J Am Geriatr Soc. 1997, 45: 531-532.View ArticlePubMedGoogle Scholar
- White H, Pieper C, Schmader K, Fillenbaum G: Weight change in Alzheimer's disease. J Am Geriatr Soc. 1996, 44: 265-272.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2318/11/3/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.