Literature DB >> 27997574

Rheumatoid Arthritis Was Negatively Associated with Alzheimer's Disease: A Population-Based Case-Control Study.

Li-Ting Kao1,2, Jiunn-Horng Kang3, Herng-Ching Lin2,4, Chung-Chien Huang4, Hsin-Chien Lee2,5,6, Shiu-Dong Chung2,7,8.   

Abstract

Some of the prior literature investigated the potential association between rheumatoid arthritis (RA) and Alzheimer's disease (AD) because these two diseases may share similar inflammatory mechanisms. Nevertheless, to date, findings of the previous literature are still controversial, and some methodological limitations were observed in those studies. The aim of this case-control study was to investigate the relationship between prior RA and AD using a large population-based dataset. This study used the Taiwan Longitudinal Health Insurance Database 2005. We included 2271 patients with AD who had received prescriptions for acetylcholinesterase inhibitors (AChEIs) as cases and 6813 patients without AD as controls in this study. In addition, we performed a conditional logistic regression to examine the odds ratio (OR) and 95% confidence interval (CI) for prior RA between cases and controls. The study found that 330 (3.63%) of the total sampled patients had an RA diagnosis before the index date. Additionally, prior RA was found in 60 (2.64%) cases and in 270 (3.96%) controls. The conditional logistic regression analysis showed that the crude OR of prior RA for cases was 0.66 (95% confidence interval (CI): 0.49~0.87) compared to controls. After adjusting for patients' geographic location, urbanization level, and comorbidities, the adjusted OR of prior RA for patients with AD was 0.73 (95% CI: 0.55~0.98) compared to those without AD. We concluded that there was an inverse association between prior RA and AD even after adjusting for potential confounders.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27997574      PMCID: PMC5172561          DOI: 10.1371/journal.pone.0168106

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


Introduction

Rheumatoid arthritis (RA) is a prevalent autoimmune disease which primarily affects synovial joints [1]. This disease is characterized by progressive joint damage and bone destruction and can further contribute to joint deformity and severe disability [2,3]. Even though the actual pathophysiology of RA is still unclear, RA is considered to be a multifactorial disease [4]. Many risk factors, including genetic factors, environmental factors, demographic characteristics, etc. have been suspected of being associated with RA [4-6]. Recently, increasing evidence has supported an inflammatory mechanism possibly playing a major role in the development of RA [7,8]. Additionally, inflammation is believed to be etiologically involved in many chronic diseases, such as cardiovascular diseases, metabolic syndrome, mental diseases, neurodegenerative disorders, etc [9-13]. Alzheimer’s disease (AD) is a common neurodegenerative disease which affects approximately 6%~8% of all individuals over 65 years old, and patients with this disease usually experience memory or cognitive impairment [14-16]. Although the genuine mechanisms of AD are still under discussion, many studies have reported that a cytokine-mediated inflammatory pathway is associated with the progression of cognitive impairment and AD [17,18]. Therefore, some of the prior literature investigated the potential association between RA and AD because these two diseases may share similar inflammatory mechanisms. Nevertheless, to date, findings of the previous literature are still controversial, and some methodological limitations were observed in those studies [19-22]. According to studies in the 1990s, patients with RA have a reduced risk of AD; however, recent research showed that RA may increase the risk of cognitive impairment [19-22]. Consequently, in order to clarify this important issue, the aim of this study was to investigate the relationship between prior RA and AD using a large population-based dataset in Taiwan.

Methods

Database

Data for this population-based case-control study were sourced from the Taiwan Longitudinal Health Insurance Database 2005 (LHID2005). The LHID2005 includes longitudinal data on original medical records and relevant registration files for 1 million individuals since establishment of the Taiwanese National Health Insurance (NHI) program in 1995. These 1 million individuals were randomly selected from all enrollees listed in the 2005 registry of beneficiaries under the NHI program (n = 25.68 million). Numerous investigators have used the LHID2005 to perform observational studies, and a number of studies have been published in international peer-reviewed journals.

Study Sample

To select AD cases for this study, we initially identified 2283 patients with a diagnosis of AD (ICD-9-CM: 290 and 331.0) from January 2001 to December 2013 who had received prescriptions of acetylcholinesterase inhibitors (AChEIs). In Taiwan, prescribing AChEIs for patients with AD needs to undergo a review procedure which is conducted by a committee in the NHI Administration. This committee consists of neurologists or psychiatrists who evaluate whether those patients are entitled for reimbursement for AChEIs according to patients’ clinical records, cognitive function, biochemistry tests, and diagnostic imaging. We then excluded 12 patients under 50 years of age since this age group has a very low prevalence of AD. Finally, 2271 patients with AD who received AChEIs were included as cases in this study. In addition, we defined the first date of receiving AChEIs as the index date for cases. The matched controls were extracted from the remaining beneficiaries of the LHID2005. We totally selected 6813 controls (three controls per AD case) from the remaining enrollees matched with cases in terms of sex, age group (50~54, 55~59, 60~64, 65~69, 70~74, 75~79, and ≥80 years), and the year of the index date using the SAS program proc SurveySelect (SAS System for Windows, vers. 9.2, SAS Institute, Cary, NC). For cases, the year of the index date was simply a year when cases first received a prescription for AChEIs. For controls, the year of the index date was a matched year in which the controls utilized medical services. Additionally, we assured that none of the selected controls had a medical history of AD since the beginning of the Taiwanese NHI program in 1995.

Outcome Measures

In this case-control study, we attempted to demonstrate the association between prior RA and AD. We defined cases with RA based on the ICD-9-CM code 714.0. In Taiwan, a physician may provide a temporary RA diagnosis for subjects who are suspected as RA patients, because physician should conduct associated lab tests or radiography for those subjects for confirmation. If a subject had a confirmed RA diagnosis after the tests, he/ she would receive routine therapy and have a second RA diagnosis in next outpatient visit. Therefore, in order to increase the validity of the RA diagnoses, this study only included the patients who had received two or more RA diagnoses prior to the index date, with at least one being made by a rheumatologist. Additionally, we only recruited RA cases if they had been prescribed at least one type of disease-modifying antirheumatic drug (DMARD). We identified the date of first RA diagnosis as the RA onset date in this case-control study.

Statistical Analysis

All analyses in this study were conducted with the SAS system (SAS System for Windows, vers. 9.2). Chi-squared tests were used to compare differences in demographic characteristics and comorbidities, including monthly income (≤NT$15,840, 15,841~25,000, ≥25,001), geographic location (northern, central, eastern, and southern Taiwan), urbanization level (five levels, with 1 being the most urbanized and 5 being the least), hypertension, diabetes, hyperlipidemia, stroke, and coronary heart disease between patients with and those without AD. Conditional logistic regressions (stratified on sex, age group, and the year of the index date) were performed to investigate the relationship between AD and prior RA after adjusting for demographic characteristics and comorbidities. The conventional p<0.05 was used to estimate statistical significance in this study.

Results

This population-based study included 2271 patients with AD as cases and 6813 patients without AD as matched controls. The total 9084 patients in this study had a mean age of 76.5±8.2 years. Mean ages for cases and controls were 76.5±7.9 and 76.5±8.3 years, respectively (p = 0.960). The demographic characteristics and medical comorbidities of patients with and those without AD are presented in Table 1. There were significant differences in geographic region (p<0.001), urbanization level (p = 0.002), hypertension (p<0.001), diabetes (p = 0.027), hyperlipidemia (p<0.001), stroke (p<0.001), and coronary heart disease (p<0.001) between cases and controls after matching for sex, age group, and the year of the index date. There was no significant difference in monthly income between cases and controls.
Table 1

Demographic characteristics and medical comorbidities of patients with Alzheimer’s disease (AD) and controls in Taiwan (n = 9084).

VariablePatients with AD n = 2271Controls n = 6813p value
Total no.Column %Total no.Column %
Age (years)1.000
    50~59723.22163.2
    60~641205.33605.3
    65~692109.36309.3
    70~7443519.21,30519.2
    75~7954924.21,64724.2
    ≥8088539.02,65539.0
Male88338.92,64938.91.000
Hypertension1,51466.74,97173.0<0.001
Diabetes69430.62,25333.10.027
Hyperlipidemia80635.53,00044.0<0.001
Stroke72231.81,78826.2<0.001
Coronary heart disease67629.82,31934.0<0.001
Monthly income0.094
    ≤NT$15,8401,37460.54,14360.8
    NT$15,841~25,00078934.72,27133.3
    ≥NT$25,0011084.83995.9
Geographical region
    Northern83836.92,85942.0<0.001
    Central63528.01,68024.7
    Southern74432.82,03429.9
    Eastern542.42403.5
Urbanization level0.002
    1 (most urbanized)63027.71,69224.8
    258725.91,89027.7
    337416.599914.7
    433314.71,03215.2
    5 (least urbanized)34715.31,20017.6

The average exchange rate in 2014 was US$1.00≈New Taiwan (NT)$30.

The average exchange rate in 2014 was US$1.00≈New Taiwan (NT)$30. Table 2 shows the prevalence of prior RA between cases and controls. The findings reveal that 330 (3.63%) of all selected patients had an RA diagnosis before the index date. Prior RA was found in 60 (2.64%) cases and in 270 (3.96%) controls. In addition, a Chi-squared test found that the patients with AD had a significantly lower prevalence of prior RA compared to those without AD (p = 0.004).
Table 2

Association between Alzheimer’s disease (AD) and prior rheumatoid arthritis (RA) (n = 9084).

Presence of prior RATotal study sample n = 9084Patients with AD n = 2271Controls n = 6813p value
No.%No.%No.%
Yes3303.63602.642703.960.004
No875496.37221197.36654396.04
Table 3 displays the crude odds ratios (ORs), adjusted ORs, and 95% confidence intervals (CIs). The conditional logistic regression analysis (stratified by sex, age group, and year of the index date) indicated that the crude OR of prior RA for cases was 0.66 (95% CI: 0.49~0.87) compared to controls. After adjusting for patients’ geographic location, urbanization level, and comorbidities, the adjusted OR of prior RA for cases was 0.73 (95% CI: 0.55~0.98) compared to those patients without AD. Additionally, it is noteworthy that RA was negatively associated with the medical comorbidities of hypertension (adjusted OR = 0.77, 95% CI = 0.69~0.86), hyperlipidemia (adjusted OR = 0.73, 95% CI = 0.65~0.81), and coronary heart disease (adjusted OR = 0.86, 95% CI = 0.77~0.96). However, RA was significantly associated with the occurrence of stroke (adjusted OR = 1.45, 95% CI = 1.30~1.62).
Table 3

Crude and adjusted odds ratios (ORs) of prior rheumatoid arthritis (RA) among sampled patients.

VariablesPatients with Alzheimer’s disease vs. Controls
Crude OR (95% CI)Adjusted OR (95% CI)
Prior RA0.66** (0.49~0.87)0.73* (0.55~0.98)
Monthly income
    ≤NT$15,8401.001.00
    NT$15,841~25,0001.04 (0.94~1.16)1.11 (0.98~1.25)
    ≥NT$25,0010.79 (0.62~1.00)0.80 (0.63~1.02)
Urbanization level
    11.001.00
    20.83** (0.73~0.95)0.74*** (0.65~0.85)
    31.01 (0.87~1.17)0.85* (0.72~0.99)
    40.87 (0.74~1.01)0.68*** (0.57~0.81)
    50.78*** (0.67~0.90)0.60*** (0.50~0.72)
Geographic region
    Northern1.001.00
    Central1.29*** (1.15~1.45)1.44*** (1.26~1.65)
    Southern1.25*** (1.12~1.40)1.33*** (1.18~1.51)
    Eastern0.77 (0.57~1.04)0.93 (0.67~1.27)
Hypertension0.73*** (0.66~0.81)0.77*** (0.69~0.86)
Diabetes0.89* (0.80~0.99)1.01 (0.91~1.13)
Hyperlipidemia0.70*** (0.63~0.77)0.73** (0.65~0.81)
Stroke1.32*** (1.19~1.47)1.45*** (1.30~1.62)
Coronary heart disease0.82*** (0.74~0.91)0.86** (0.77~0.96)

Note:

* p<0.05

** p<0.01

*** p<0.001.

The adjusted odds ratios were derived from a conditional logistic regression model and adjusted for all other variables.

The average exchange rate in 2014 was US$1.00≈New Taiwan (NT)$30.

Note: * p<0.05 ** p<0.01 *** p<0.001. The adjusted odds ratios were derived from a conditional logistic regression model and adjusted for all other variables. The average exchange rate in 2014 was US$1.00≈New Taiwan (NT)$30.

Discussion

This population-based case-control study found an inverse association between prior RA and AD. The OR of prior RA for patients with AD was 0.73 (95% CI: 0.55~0.98) compared to those patients without AD after adjusting for patients’ geographic location, urbanization level, and comorbidities. To the best of our knowledge, only a few studies [7,8,17,18] have attempted to investigate the potential association between prior RA and AD, even though these two diseases supposedly share similar pathological pathways. The negative relationship between prior RA and AD revealed by this study is consistent with previous studies in the 1990s [19-21]. One study in the United Kingdom, which included 96 patients with AD and 92 controls, observed a significant inverse association between AD and RA (p<0.005) [19]. Other research also found that the prevalence of AD in patients with RA was unexpectedly lower than that in the general population [20]. Additionally, a study in Finland displayed that only two individuals (1.2‰) died of AD among patients with RA, but 227 individuals (5.4‰) died of AD in the entire population [21]. Conversely, results of other studies conflict with our results. For instance, an increased risk of cognitive impairment in patients with RA was reported by Wallin et al. [22]. In addition, a meta-analysis which involved three cohort studies and two cross-sectional studies reported a significantly elevated risk of all subtypes of dementia among patients with RA, and the pooled risk ratio in that study was 1.61 (95% CI, 1.10~2.37) [22-25]. These controversial findings may have been due to several methodologic limitations and the definitions of study cases. For example, using a self-administered questionnaire to identify RA cases might be less accurate than using diagnostic codes provided by physicians [22]. Additionally, most of the prior literature included all subtypes of dementia as study cases [22-25]. However, our study only selected patients with AD, which is recognized as one of the common forms of dementia, as study cases. The actual mechanisms of the relationship between prior RA and AD still remain unclear. The lower odds of prior RA in patients with AD than those without AD is thought to be associated with the use of non-steroidal anti-inflammatory drugs (NSAIDs) or the upregulation of granulocyte macrophage colony-stimulating factors (GM-CSFs) in patients with RA. According to the prior literature, the use of NSAIDs in patients with RA was assumed to possibly prevent the incidence and development of AD [20,26-28]. A recent meta-analysis also reported that the use of NSAIDs was significantly associated with a decreased risk of AD (relative risk = 0.72, 95% CI = 0.62~0.84) [29]. Nevertheless, one large randomized controlled trial found that the use of NSAIDs could not prevent the incidence of AD among dementia-free subjects [30]. It is still uncertain whether the use of NSAIDs plays a role in the underlying mechanism. Consequently, intrinsic factors within the RA pathogenesis are suspected of contributing to protective effects against the occurrence of AD [31]. To date, increasing biological evidence further supports GM-CSFs, which are highly produced in synovitis during RA pathogenesis, possibly reversing amyloidosis and cognitive impairment in AD [31-34]. The principle strength of this case-control study is the use of a large population-based database with high health benefit coverage in Taiwan. The sample size of this study was much larger than previous studies which investigated the association between RA and AD. The LHID2005 could provide an adequate sample size and increase the statistical power for the results. The feature of this database may also reduce the selection bias of the findings, which commonly occurs in observational studies. Additionally, the LHID2005 used in this study includes all medical records regarding diagnoses, therapeutic procedures, and medications since patients were enrolled in the NHI program in Taiwan. This characteristic of the LHID2005 can avoid a recall bias which frequently occurs in case-control studies. Nevertheless, several limitations should be taken into consideration. First, some lifestyle information, laboratory records on inflammatory biomarkers, family history, and genetic factors are not available in the LHID2005. These factors are considered to affect cognitive function and might confound the association between prior RA and AD [35-37]. Second, the LHID2005 provides no detailed records of biochemical tests, Mini-Mental State Examination (MMSE) scores, or medical imaging. Thus, some researchers may criticize the accuracy of the AD diagnosis. However, we identified patients receiving AChEIs as AD cases in this study. In Taiwan, prescribing AChEIs for patients with AD undergoes a review procedure conducted by a committee. This committee evaluates whether those patients are allowed reimbursement for AChEIs according to the patients’ clinical symptoms, biochemical tests, MMSE scores, and medical imaging with computed tomography (CT) scans or magnetic resonance imaging (MRI) scans. Finally, the overwhelmingly majority of patients recruited in this study were of Chinese ethnicity, so the ability to generalize the findings to other ethnic groups is uncertain. In summary, this population-based case-control study found that prior RA was negatively associated with AD even after adjusting for patients’ demographics and comorbidities. Further large epidemiologic studies are still required to clarify the relationship between prior RA and AD in different ethnic groups and countries. Future experimental studies are warranted to determine the actual mechanisms for the inverse association between prior RA and AD.
  35 in total

Review 1.  Alzheimer disease: protective factors.

Authors:  F Nourhashemi; S Gillette-Guyonnet; S Andrieu; A Ghisolfi; P J Ousset; H Grandjean; A Grand; J Pous; B Vellas; J L Albarede
Journal:  Am J Clin Nutr       Date:  2000-02       Impact factor: 7.045

2.  Midlife rheumatoid arthritis increases the risk of cognitive impairment two decades later: a population-based study.

Authors:  Karin Wallin; Alina Solomon; Ingemar Kåreholt; Jaakko Tuomilehto; Hilkka Soininen; Miia Kivipelto
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

Review 3.  Cytokine, sickness behavior, and depression.

Authors:  Robert Dantzer
Journal:  Neurol Clin       Date:  2006-08       Impact factor: 3.806

4.  Cognitive function over time in the Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT): results of a randomized, controlled trial of naproxen and celecoxib.

Authors:  Barbara K Martin; Christine Szekely; Jason Brandt; Steven Piantadosi; John C S Breitner; Suzanne Craft; Denis Evans; Robert Green; Michael Mullan
Journal:  Arch Neurol       Date:  2008-05-12

5.  Distribution of granulocyte-monocyte colony-stimulating factor and its receptor α-subunit in the adult human brain with specific reference to Alzheimer's disease.

Authors:  Sami Ridwan; Henrike Bauer; Katrin Frauenknecht; Harald von Pein; Clemens J Sommer
Journal:  J Neural Transm (Vienna)       Date:  2012-03-20       Impact factor: 3.575

Review 6.  Infection, systemic inflammation, and Alzheimer's disease.

Authors:  Siok Lam Lim; Carlos J Rodriguez-Ortiz; Masashi Kitazawa
Journal:  Microbes Infect       Date:  2015-04-22       Impact factor: 2.700

Review 7.  Microbiome in Inflammatory Arthritis and Human Rheumatic Diseases.

Authors:  Jose U Scher; Dan R Littman; Steven B Abramson
Journal:  Arthritis Rheumatol       Date:  2016-01       Impact factor: 10.995

8.  Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia.

Authors:  Ilaria Cova; Francesca Clerici; Laura Maggiore; Simone Pomati; Valentina Cucumo; Roberta Ghiretti; Daniela Galimberti; Elio Scarpini; Claudio Mariani; Barbara Caracciolo
Journal:  Dement Geriatr Cogn Disord       Date:  2016-03-31       Impact factor: 2.959

Review 9.  Neuroinflammation in Alzheimer's disease.

Authors:  Michael T Heneka; Monica J Carson; Joseph El Khoury; Gary E Landreth; Frederic Brosseron; Douglas L Feinstein; Andreas H Jacobs; Tony Wyss-Coray; Javier Vitorica; Richard M Ransohoff; Karl Herrup; Sally A Frautschy; Bente Finsen; Guy C Brown; Alexei Verkhratsky; Koji Yamanaka; Jari Koistinaho; Eicke Latz; Annett Halle; Gabor C Petzold; Terrence Town; Dave Morgan; Mari L Shinohara; V Hugh Perry; Clive Holmes; Nicolas G Bazan; David J Brooks; Stéphane Hunot; Bertrand Joseph; Nikolaus Deigendesch; Olga Garaschuk; Erik Boddeke; Charles A Dinarello; John C Breitner; Greg M Cole; Douglas T Golenbock; Markus P Kummer
Journal:  Lancet Neurol       Date:  2015-04       Impact factor: 44.182

Review 10.  Epidemiology and genetics of rheumatoid arthritis.

Authors:  Alan J Silman; Jacqueline E Pearson
Journal:  Arthritis Res       Date:  2002-05-09
View more
  11 in total

1.  Can Disease-Modifying Anti-Rheumatic Drugs Reduce the Risk of Developing Dementia in Patients with Rheumatoid Arthritis?

Authors:  Ling-Chun Huang; Yu-Han Chang; Yuan-Han Yang
Journal:  Neurotherapeutics       Date:  2019-07       Impact factor: 7.620

2.  Prevalence of affective disorders and dementia in inflammatory polyarthropathies.

Authors:  Jonathan Vogelgsang; Philipp Heßmann; Claus Wolff-Menzler; Stephan Gyßer; Gerhard A Müller; Jens Wiltfang
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2019-04-25       Impact factor: 5.270

3.  Association of cardiovascular disease and traditional cardiovascular risk factors with the incidence of dementia among patients with rheumatoid arthritis.

Authors:  Sebastian E Sattui; Mangala Rajan; Sarah B Lieber; Geyanne Lui; Madeline Sterling; Jeffrey R Curtis; Lisa A Mandl; Iris Navarro-Millán
Journal:  Semin Arthritis Rheum       Date:  2021-01-05       Impact factor: 5.532

4.  No association between rheumatoid arthritis and cognitive impairment in a cross-sectional national sample of older U.S. adults.

Authors:  Michael J Booth; Mary R Janevic; Lindsay C Kobayashi; Daniel J Clauw; John D Piette
Journal:  BMC Rheumatol       Date:  2021-08-18

5.  Rheumatoid arthritis and neurodegenerative dementia: a nested case-control study and a follow-up study using a national sample cohort.

Authors:  Chanyang Min; Woo Jin Bang; Miyoung Kim; Dong Jun Oh; Hyo Geun Choi
Journal:  Clin Rheumatol       Date:  2019-09-16       Impact factor: 2.980

6.  Microglial Phagocytosis of Neurons: Diminishing Neuronal Loss in Traumatic, Infectious, Inflammatory, and Autoimmune CNS Disorders.

Authors:  Samuel F Yanuck
Journal:  Front Psychiatry       Date:  2019-10-03       Impact factor: 4.157

7.  Association between dementia and systemic rheumatic disease: A nationwide population-based study.

Authors:  Hyemi Park; Dong-Hyuk Yim; Bolormaa Ochirpurev; Sang-Yong Eom; In Ah Choi; Gawon Ju; Ji Hyoun Kim
Journal:  PLoS One       Date:  2021-03-12       Impact factor: 3.240

Review 8.  The Joint-Brain Axis: Insights From Rheumatoid Arthritis on the Crosstalk Between Chronic Peripheral Inflammation and the Brain.

Authors:  Patrick Süß; Tobias Rothe; Alana Hoffmann; Johannes C M Schlachetzki; Jürgen Winkler
Journal:  Front Immunol       Date:  2020-12-10       Impact factor: 7.561

9.  Alzheimer's Disease and Rheumatoid Arthritis: A Mendelian Randomization Study.

Authors:  Qixuan Cai; Zhuoyuan Xin; Lin Zuo; Fan Li; Bin Liu
Journal:  Front Neurosci       Date:  2018-09-12       Impact factor: 4.677

10.  Prevalence of Comorbidities in Individuals Diagnosed and Undiagnosed with Alzheimer's Disease in León, Spain and a Proposal for Contingency Procedures to Follow in the Case of Emergencies Involving People with Alzheimer's Disease.

Authors:  Macrina Tortajada-Soler; Leticia Sánchez-Valdeón; Marta Blanco-Nistal; José Alberto Benítez-Andrades; Cristina Liébana-Presa; Enrique Bayón-Darkistade
Journal:  Int J Environ Res Public Health       Date:  2020-05-13       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.