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Abstract Number: 822

Meloxicam and Risk of Myocardial Infarction: A Population-Based Cohort Study

Deepan Dalal1, Maureen Dubreuil2,3, Yuqing Zhang4, Christine Peloquin5, Tuhina Neogi4, Hyon K. Choi2 and David T. Felson6, 1Rheumatology, Boston Medical Center, Boston, MA, 2Rheumatology, Boston University School of Medicine, Boston, MA, 3Rheumatology, VA Boston Healthcare System, Jamaica Plain, MA, 4Boston University School of Medicine, Boston, MA, 5Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, 6Clinical Epidemiology Unit, Boston University School of Medicine, Boston, MA

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Epidemiologic methods, heart disease and pharmacotherapy

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Session Information

Title: Epidemiology and Public Health I: Drug and Vaccine Safety

Session Type: Abstract Submissions (ACR)

Background/Purpose: Certain non-steroidal anti-inflammatory drugs (NSAIDs) have been associated with an increased risk of myocardial infarction (MI). MI risk for different NSAIDs varies largely because of different levels of cyclo-oxygenase (COX) 2 inhibition. Given this differential MI risk, it is clinically important to understand which NSAID options are safer vs. which ones confer an increased risk. For example, naproxen has shown no increased risk of MI, whereas diclofenac has shown an increased risk. However, Meloxicam, which is considered to inhibit COX-2 selectively over COX-1, is used widely across the world, but the risk of MI with Meloxicam has not been quantified.

Methods: The Health Improvement Network (THIN) is a national population-based cohort of over 10 million patients from 580 general practices in the UK. We conducted a nested case-control study of patients between 35 and 89 years of age who had at least 1 year of enrollment between 2000 and 2013 in the cohort and at least 1 prescription for an NSAID. Individuals with a history of MI were excluded. Cases of MI were identified by Read codes and the date of MI was considered the index date. Each case was matched with up to 4 unique controls on age, sex and practice ID. NSAID exposure was categorized as remote (greater than 60 days prior), recent (between 1 and 60 days) or current to the index date. Current NSAID users were further classified as Naproxen, Diclofenac, Meloxicam or other NSAID users. Multivariate logistic regression analysis with 6 categorical variables for NSAID exposure categories was conducted to determine the risk of MI among various current NSAID users compared with that of remote users, adjusting for potential confounders including traditional cardiac risk factors, comorbidities and cardiovascular drug use.

Results: We identified 9817 MI cases and 12860 matched controls from the cohort. The cases had a higher prevalence of traditional cardiac risk factors, more frequent use of cardiovascular medications, and a higher prevalence of chronic kidney disease and inflammatory arthritis (Table 1). The adjusted odds ratio (aOR) for MI with current Meloxicam use was 1.40 (95% CI, 1.15-1.71) as compared with remote NSAID use. While, the aOR with current Naproxen use was 1.01 (95% CI, 0.84-1.22) and with current Diclofenac use was 1.35 (95% CI, 1.21-1.5).

Conclusion: In this large population-based cohort, Meloxicam significantly increased the risk of MI at a level similar to that of Diclofenac. As previously shown, Naproxen was not associated with an increased risk of MI. Drugs like Diclofenac and Meloxicam are widely used across the world should be used cautiously because of the increased risk of MI they pose.

Table 1: Baseline characteristics

 

 

MI Cases

Controls

Subjects (n)

 

9817

12860

Age (years)

 

62.8 ± 12.4

63.1 ± 12.2

Female

 

4039 (41.1%)

5571 (43.3%)

Smoking

Non-smoker

2965 (30.2%)

4914 (38.2%)

 

Ex-smoker

2724 (27.7%)

3413 (26.5%)

 

Current smoker

2493 (25.4%)

1876 (14.6%)

 

Missing

1635 (16.7%)

2657 (20.7%)

BMI

Underweight

206 (2.1%)

283 (2.2%)

 

Normal

1572 (16.0%)

2102 (16.3%)

 

Overweight

2833 (28.9%)

3561 (27.7%)

 

Obese

2426 (24.7%)

2816 (21.9%)

 

Missing

2780 (28.3%)

4098 (31.9%)

Diabetes

 

1699 (17.3%)

1502 (11.7%)

Hyperlipidemia

 

1547 (15.8%)

1582 (12.3%)

Hypertension

 

4890 (49.8%)

5483 (42.6%)

History of ischemic heart disease

 

2464 (25.1%)

1383 (10.8%)

Kidney Disease

 

926 (9.4%)

733 (5.7%)

Inflammatory rheumatic disease

 

1984 (20.2%)

2187 (17.0%)

Osteoarthritis

 

3822 (38.9%)

5003 (38.9%)

ACE Inhibitors

 

2575 (26.2%)

2342 (18.2%)

Aspirin

 

3453 (35.2%)

2995 (23.3%)

Beta Blockers

 

2503 (25.5%)

2336 (18.2%)

Statins

 

3402 (34.7%)

3188 (24.8%)

Odd Ratios of MI by NSAID Use of Interest

NSAID Use

# Cases

# Controls

Adjusted OR (95% CI)

Referent (Remote use)

4422

6258

1.0

Current Naproxen use

291

383

1.01 (0.84, 1.22)

Current Diclofenac use

1089

1234

1.35 (1.21, 1.50)

Current Meloxicam use

262

291

1.40 (1.15, 1.71)

 


Disclosure:

D. Dalal,
None;

M. Dubreuil,
None;

Y. Zhang,
None;

C. Peloquin,
None;

T. Neogi,
None;

H. K. Choi,
None;

D. T. Felson,
None.

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