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June 13, 2000; 54 (11) Article

Reduced prevalence of AD in users of NSAIDs and H2 receptor antagonists

The Cache County Study

J.C. Anthony, J.C. S. Breitner, P.P. Zandi, M.R. Meyer, I. Jurasova, M.C. Norton, S.V. Stone
First published June 13, 2000, DOI: https://doi.org/10.1212/WNL.54.11.2066
J.C. Anthony
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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J.C. S. Breitner
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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P.P. Zandi
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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M.R. Meyer
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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I. Jurasova
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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M.C. Norton
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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S.V. Stone
From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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From the Department of Mental Hygiene (Drs. AnthonyBreitner, Meyer, and Stone, and P.P. Zandi), School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD; and the College of Family Life and Department of Psychology (I. Jurasova and M.C. Norton), Utah State University at Logan.
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Reduced prevalence of AD in users of NSAIDs and H2 receptor antagonists
The Cache County Study
J.C. Anthony, J.C. S. Breitner, P.P. Zandi, M.R. Meyer, I. Jurasova, M.C. Norton, S.V. Stone
Neurology Jun 2000, 54 (11) 2066-2071; DOI: 10.1212/WNL.54.11.2066

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Abstract

Objective: To test the hypothesis that nonsteroidal anti-inflammatory drugs (NSAIDs) and histamine H2 receptor antagonists (H2RAs) are associated with a decreased risk of AD in late life.

Background: Sustained use of non-aspirin NSAIDs has been repeatedly associated with a reduced occurrence of AD. Similar effects with aspirin have been weaker. One prior study showed a strong association between use of H2RAs and reduced AD prevalence.

Methods: In a population study of AD in Cache County, UT, we used a sequenced plan of sampling and case ascertainment to identify 201 cases of AD and 4425 participants with no indication of cognitive impairment. Independently, an interview and medicine chest inventory assessed use of several medicines including aspirin, non-aspirin NSAIDs, H2RAs, and three classes of “control” drugs not thought to be associated with AD. Follow-up questioning probed possible indications for use of these drugs.

Results: Compared with cognitively intact individuals, the AD cases had significantly less reported current use of NSAIDs, aspirin, and H2RAs. Stronger associations appeared when subjects reported use of both NSAIDs and aspirin (no H2RAs), two different NSAIDs (no H2RAs), or two different H2RAs (with neither aspirin nor NSAIDs). There was little or no such association with use of the control medicines. Adjustment for usage indication did not influence these findings, and there was no appreciable variation with number of APOE ε4 alleles.

Conclusions: As predicted, use of NSAIDs and aspirin were specifically associated with reduced occurrence of AD. Notably, a previous observation of an inverse association of AD and use of H2RAs was also affirmed. Definitive evidence for a preventive action of these agents will require randomized prevention trials.

Genetic predisposition is the strongest evident cause of AD, but there is some evidence that neuroprotective interventions might delay onset or reduce risk of AD. Among suggested neuroprotective interventions, the best known are the non-aspirin nonsteroidal

anti-inflammatory drugs (NSAIDs)1-4 and postmenopausal hormone replacement therapy.5,6 Antioxidant vitamins may also be beneficial.7-9 One study showed an unexpected delay in onset of AD among sustained users of histamine H2 receptor antagonists (H2RAs), principally cimetidine and ranitidine.10 In 1995 we began a focused investigation of NSAIDs and aspirin as the most promising candidate strategies for the prevention of AD. Because of the potential safety advantages of histamine H2RAs, we also studied these compounds.

Methods.

We planned the Cache County Study as a survey of the prevalence and incidence of AD and other dementias in relation to genotype at APOE or other genes, and to several environmental influences including medications. For the latter, we sought specifically to test hypotheses that medicinal use of cyclo-oxygenase inhibitors (e.g., aspirin, ibuprofen) or H2RAs would delay onset or reduce risk of AD. Because no association with AD had been suggested with several other drugs used for similar indications (non-aspirin non-NSAID analgesics, simple antacids, or stomach remedies other than H2RAs), we studied the latter agents as “control” exposures to discover whether effects with the target drugs, if any, would be specific. Such specificity could argue against the influence of underlying ailments (confounding by indication). It would also argue against artifact from generally impaired recall of medicines by demented individuals or their collateral informants (recall bias), or from a tendency of better educated individuals who use more medicines to develop less dementia (confounding with education or health habits).

To date, we have completed the ascertainment of individuals with dementia that was prevalent in 1995 through 1996, and have begun the detection of incident cases. Prospective analyses of associations between prior use of NSAIDs and H2RAs and incident AD will not be available for another year. Here, we report the comparison of medicinal drug use in prevalent AD cases and the cognitively intact remainder of the population.

Study population and data collection.

Details of the study protocol have been described elsewhere.11 Briefly, among 5677 elderly (age 65 years and older) residents of households and group quarters in Cache County, UT, 26 (0.5%) died before we attempted to enroll them, 559 (9.8%) refused or could not be located, and 5092 (89.7%) participated. We obtained informed consent for participation from all the latter individuals, and separate consent from 4932 (98%) of them to determine genotype at APOE from buccal scrapings. We first assessed cognitive status using alternate forms of the 100-point modified Mini-Mental State Examination12 or Jorm’s Informant Questionnaire for Cognitive Decline in the Elderly.13 We then assigned a second stage of assessment for all individuals with first-stage evidence of cognitive disturbance, for all participants age 90 years or older, and for a 19% stratified probability sample (see below).11 The second assessment stage was an interview with a knowledgeable collateral informant (typically a close relative) using the Dementia Questionnaire (DQ).14 We scored the DQ using a five-point scale that included categories of “questionable dementia” and “probable dementia.”11 All members of the 19% sample and all others with DQ ratings of questionable or probable dementia were then recruited to the study’s third assessment stage. This stage began with a clinical assessment (CA) by a research nurse and psychometrician. The CA included a narrative history of cognitive symptoms and other aspects of medical history, brief physical assessment, standardized neurologic examination, a 1-hour battery of neuropsychological testing, and a standardized 7-minute videotape recording. A board-certified geriatric psychiatrist reviewed these data and assigned working diagnoses of dementia (Diagnostic and Statistical Manual of Mental Disorders, 3rd ed., revised) or other cognitive syndromes. For 257 participants (84% of those still living) we supplemented this information with a geriatric psychiatrist’s home visit and direct examination. We also sought neuroimaging studies on subjects with dementia, and obtained MRI or (rarely) CT scans for 135. Final diagnostic assignment was made at a consensus conference of expert neurologists, geriatric psychiatrists, neuropsychologists, and a cognitive neuroscientist. Results from genotyping and risk factor assessments were not available to these diagnostic clinicians until they had entered a final diagnosis. Diagnoses of definite, probable, and possible AD were made using National Institute of Neurological and Communicative Disorders and Stroke–Alzheimer’s Disease and Related Disorders Association criteria.15 Vascular dementia was diagnosed using National Institute of Neurological Disorders and Stroke–Association Internationale pour la Recherche et l’Enseignement en Neurosciences criteria,16 as modified by Tatemichi et al.17 When possible, other diagnoses also followed available research criteria. Thirty individuals were diagnosed with more than one type of dementia. In this manner, we identified 201 individuals with diagnoses of definite, probable, or possible AD and no other dementing disorder. To date, the study’s clinical diagnoses have compared well with brain autopsy results from 41 deceased individuals, as reported elsewhere.11

We assessed risk or protective factors for dementia primarily through a standardized retrospective interview administered with the first stage of assessment. The interview covered marital, educational, and occupational history, as well as medical conditions (e.g., cardiovascular disease, depression) and other exposures that might influence cognitive or mental status, including extramedical drug use (e.g., tobacco, alcohol). Collateral informants completed a similar risk factor interview on behalf of 386 subjects who could not participate in the interview process, or who could not provide reliable information. In all instances, the interviewers asked whether subjects had used any prescription or over-the-counter (OTC) medicines in the last 2 weeks. If yes, they asked respondents to show the containers of all such. They then recorded the name, strength, dosage form, instructions for use (if any), and reported treatment indication for each medicine, and proceeded to ask a standardized series of questions intended to construct a history of the duration and extent of prior and recent usage. There followed a series of inquiries about four groups of common illnesses—painful or inflammatory joint ailments, acid-peptic disease or gastroesophageal reflux, anxiety or mood disturbances, and chronic respiratory conditions—and their typical remedies.18 Occasionally, the latter questioning prompted recall of current treatments that had been omitted at the medicine chest inventory.

Analytic design.

The main analyses compared reports of current drug use in the panel of 201 prevalent cases of uncomplicated AD (no other dementia diagnosis) from Cache County versus comparable exposures among the 4425 other subjects whose screening or examination results indicated no dementia. Because most of the latter had not been examined directly, we also conducted a nested case-control study that compared exposures in the same panel of cases and the 563 members of the fully examined 19% sample who were demonstrably free of any cognitive disorder. This sample had been assembled iteratively to provide a panel of nondemented participants who were matched 2:1 to the prevalent AD cases in 36 risk sets of 5-year age groups (65 to 69, 70 to 74, . . . , 85 to 89, 90+), gender, and number of APOE ε4 alleles (0, 1, 2). To improve statistical power, we increased the matching ratio to 4:1 for individuals with AD who were younger than 75 and had fewer then two ε4 alleles.

Statistical analysis.

For the principal comparisons we used multiple logistic regression,19 building upon a previously reported model of the log odds of AD prevalence expressed as a function of regression terms for age (at time of interview), age-squared, gender, education, and presence of one or two APOE ε4 alleles.11 To this model we added dummy-coded variable terms for current use of aspirin alone (i.e., with no reported use of NSAIDs or H2RAs), non-aspirin NSAIDs alone (no aspirin or H2RAs), H2RAs alone (no aspirin or NSAIDs), and four combinations of the three target medicine categories. The “aspirin” category included various aspirin compounds. The “reference” group consisted of individuals who had used none of the above-listed classes of medicines. We used a separate set of dummy-coded indicators for the control medicines.

The nested case-control analyses also provided for tight control over confounding effects of age, gender, and APOE allele status via matching. These analyses therefore used the conditional form of multiple logistic regression19 to estimate prevalent case odds ratios between medicine exposure and occurrence of AD. The conditional logistic models included terms for age (to control for any residual differences within matched risk sets) and education. We used regression diagnostics20 to examine regression assumptions and to check for overly influential risk sets. The analyses were performed using LogXact, Stata, Egret, and SAS software. For both analyses, we estimated prevalence case relative odds and calculated 95% confidence intervals (CI) and likelihood ratio χ2-derived p values to aid interpretation.

Results.

Principal drugs included in the aspirin, NSAID, and H2RA categories, and their frequencies, are shown in table 1. Table 1 also lists drugs included in the control categories of non-aspirin, non-NSAID analgesics, antacids, and other stomach remedies. Table 2 shows adjusted prevalence odds ratios (aPORs) from the principal comparisons. Current use of aspirin alone, NSAIDs alone, and histamine H2RAs alone were all significantly associated with reduced prevalence of AD. The 95% CIs for each of the three control exposures included the null value of 1.0, with point estimates ranging between 0.63 and 1.46.

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Table 1.

Commonly reported medicinal drugs and their frequencies in the Cache County elderly population

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Table 2.

Estimated associations between having AD and medicinal use of six classes of drug compounds: case-cohort analyses

Current use of aspirin and non-aspirin NSAIDs (see table 2), or of two or more non-aspirin NSAIDs (aPOR = 0.17, 95% CI = 0.04 to 0.48, p = 0.0002), showed a stronger inverse association. We observed similar results with current use of two or more H2RAs (aPOR = 0.21, 95% CI = 0.01 to 1.08, p = 0.06). There was no evidence for additional strength of association among the subjects who used both aspirin and H2RAs (no NSAIDs), or both NSAIDs and H2RAs (no aspirin), but the strongest association was seen with use of all three target classes (see table 2). The numbers in all sets of doubly or trebly exposed subjects were small.

Addition to these models of terms for use of non-aspirin non-NSAID analgesics, simple antacids, and other stomach remedies yielded OR estimates with CIs that included the null value of 1.0 (see table 2). Although the CIs were predictably wider, we observed similar results throughout in the nested case-control analyses (table 3). For example, the case-control aPOR for NSAIDs alone was 0.47 (cf. 0.43 in the principal analyses); for aspirin alone it was 0.44 (cf. 0.50); for H2RAs, 0.50 (cf. 0.42).

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Table 3.

Estimated associations between having AD and medicinal use of six classes of drug compounds: matched case-control analyses

Statistical adjustment for arthritic or other joint pain, peptic ulcer disease, or gastroesophageal reflux disease (indications that promote use of these treatments) produced no appreciable change in the related estimates from these models. Moreover, there was no real improvement in the models’ explanatory capacity when terms for these indications were added to the regression models (e.g., estimated OR for painful/inflammatory joint disease 1.29; 95% CI = 0.90 to 1.83; p = 0.16). Possible variation in AD occurrence across subgroups defined by joint disease and NSAID exposure was negligible (p = 0.477). Likewise, a subsidiary analysis of subgroups with varying numbers of APOE ε4 alleles suggested no appreciable variation (for all comparisons, p > 0.10).

Discussion.

We have described a series of prevalent case-cohort and case-control analyses in the Cache County Study, conducted to provide initial tests of a priori hypotheses that three classes of compounds might reduce the risk of AD. The analyses showed an inverse association between the use of each target medicine class and the odds of AD, whereas little or no such association was observed with other medicines used for similar indications. The strength of the inverse associations was increased among small numbers of subjects who were currently using two or more agents from the same class, or a combination of aspirin with non-aspirin NSAIDs.

These findings may be noteworthy for several reasons. The studies were population-based, and should thus be relatively invulnerable to selection biases. They were undertaken specifically to test a priori hypotheses and, accordingly, included salient control exposures as well as specific questions to control confounding by indication and other sources of error. The findings with aspirin are interesting because 65% of subjects who used this drug stated they did so for cardiovascular prophylaxis (hence, presumably, in low dosage). A significant inverse association with AD thus appeared with sustained doses of aspirin that would not be thought of as anti-inflammatory in any conventional sense. When the explanatory models were revised to allow for confounding by indication (e.g., painful/inflammatory joint disease), there were no appreciable changes in the study estimates for medicine exposures. These estimates should have moved appreciably toward the null value (1.0) if the NSAID indicators were standing in for what truly is an effect of joint disease on occurrence of AD.

The study’s main limitation is probably its classification of exposure status. There is some chance that physicians were not prescribing H2RAs or other medicines for AD patients because of concerns about worsening their cognitive deficits, or about decreased tolerance of these medicines leading to confusion or delirium. Ideally, one should investigate occurrence of AD in relation to medication use before onset of dementia. Unfortunately, after the clinical assessments of the nondemented participants in the 19% subsample, a comparison of self-reported lifetime history of drug use versus collateral informant reports for the same subjects showed chance-corrected degree of agreement to be substandard (kappa values between 0.25 and 0.40), with substantial under-reporting by collateral historians. This finding was unexpected because we had seen better agreement between self- and collateral-reported information in prior studies of highly motivated research volunteers.10 Upon discovering it, we opted to rely on observed current drug use, as others have done,21 and correspondingly to specify current age (rather than age at onset of AD) in the regression analyses.

In these circumstances, we speculate that the observed relationship (stronger inverse association with use of two cyclo-oxygenase inhibitors or two H2RAs) might reflect a tendency toward more sustained use or higher doses. An alternate explanation is that the number of cyclo-oxygenase inhibitors and H2RAs is an index for a still-undiscovered and therefore uncontrolled confounding variable. In the latter case, until this confounding variable can be specified and measured or otherwise eliminated, it will remain a source of distortion in studies of AD protection by these agents.

The apparent lack of an additive effect with NSAIDs and H2RAs contradicts an earlier finding.10 We have no explanation for this discrepancy other than the small numbers of doubly exposed AD cases in both studies.

An obvious trivial explanation for the association with H2RAs—that these medicines were being taken to treat NSAID-induced gastropathy—is not supported here. Rather, these analyses appear to confirm earlier observations of an inverse association of AD with H2RA use.9 The actions of cyclo-oxygenase inhibitors and H2RAs might converge biologically if both drug classes decreased efficiency of synaptic response or postsynaptic signaling in cells with NMDA-type glutamate receptors.3 Such cells are vulnerable to excitotoxic death under conditions of excessive stimulation, a phenomenon that has recently received attention in relation to the pathogenesis of AD.22-24

One recent investigation from the Netherlands failed to confirm the H2RA–AD association.25 We have speculated26 that the apparent contradiction may result from the Dutch study’s exclusion of OTC formulations and the limited duration (typically, 8 weeks) of prescription H2RA use that is typical in the Dutch health service. Nonetheless, it is possible that different H2RAs have different effects. Our sample is not large enough to yield reliable estimates for the individual H2 blocking agents. Further resolution of this conflict may come from incidence cohort analyses in the Cache County Study next year, or may require even larger sample sizes. Such prospective studies avoid the so-called prevalent case bias (association of exposures with factors that affect prevalence by altering duration of illness). They also avoid the need to rely on collateral drug history data from demented subjects, because those who later develop AD will have previously given an adequate self-reported exposure history. However, even prospective studies remain vulnerable to unsuspected sources of confounding. Definitive demonstration of the efficacy of NSAIDs, aspirin, or H2RAs in preventing AD can come only from randomized controlled prevention trials.

Appendix

Other Cache County Study investigators involved in the project: James Burke, MD; Tony Calvert, RN; Barbara Gau, MSW; Michael Helms, MS; Ara Khachaturian, BS; Carole Leslie, MA; Tiffany Newman, MA; Brenda Plassman, PhD; David C. Steffens, MD; Martin Steinberg, MD; JoAnn Tschanz, PhD; Kathleen Welsh-Bohmer, PhD; Nancy West, MS; and Bonita Wyse, PhD.

Acknowledgments

Supported by NIH grant R01-AG-11380, and the work of P.P.Z. by T32-MH-14592.

Acknowledgment

The authors thank the neurogenetics laboratories of the Bryan AD Research Center at Duke University for APOE genotyping.

Footnotes

  • ↵*See the Appendix on page 2071 for a complete list of investigators.

  • Received July 8, 1999.
  • Accepted in final form February 16, 2000.

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