The effect of rheumatoid arthritis on the risk of cerebrovascular disease and coronary artery disease in young adults.

BACKGROUND: Only a few studies have investigated the affect of rheumatoid arthritis (RA) on the risk of cerebrovascular disease (CVD)/coronary artery disease (CAD) in young adults. This study, therefore, examined the association between RA and the risk of CVD/CAD in young adults and the interaction effects between cardiovascular risk factors and RA on the risk of CVD/CAD. METHODS: Data regarding 52,840 subjects (10,568 patients with RA and 42,272 age-, sex-, urbanization-, and income-matched non-RA controls) were collected from the National Health Insurance Research Database (NHIRD) in 2006. All subjects were followed until a CVD or CAD diagnosis, or death, or December 31, 2011. The hazard ratios (HRs) of CVD/CAD were estimated using Cox proportional hazard models. The interaction effects between cardiovascular risk factors and RA on the risk of CVD/CAD were assessed using additive and multiplicative models. RESULTS: RA increased the risk of CVD/CAD in young adults, especially those at risk of ischemic stroke (adjusted HR, 3.48; 95% confidence interval (CI), 2.16-5.61). Even without comorbidity at baseline, patients with RA still had a 2.35-fold greater risk of CVD/CAD relative to those without RA. RA and hypertension interacted positively on the risk of CVD/CAD. The highest CVD/CAD risk was found in patients with RA and hypertension (HR, 9.08; 95% CI, 7.22-11.41) relative to subjects without RA and hypertension. CONCLUSION: RA is an independent risk factor for CVD/CAD in young adults. The government should develop policies for preventing early onset hypertension to reduce the incidence of CVD/CAD among young patients with RA.

Effect on Risk of Stroke and Acute Myocardial Infarction of Nonselective Nonsteroidal Anti-Inflammatory Drugs in Patients With Rheumatoid Arthritis.

There are still debates on the association of increased cardiovascular risk with the use of nonsteroidal anti-inflammatory drugs (NSAIDs) in patients with rheumatoid arthritis (RA) because of inconsistent results. Therefore, our study aims to evaluate the transient effects of selective and nonselective NSAIDs on the risk of stroke and acute myocardial infarction (AMI) in patients with RA. We conducted a case-crossover study of 5,921 stroke or AMI patients with co-morbidity of RA. All cases were identified from the Taiwan National Health Insurance Database between January 1, 2006, and December 31, 2011, according to the International Classification of Diseases, 9th Revision and Clinical Modification diagnosis codes from inpatient claims. The index date was defined as the date of hospitalization for stroke or AMI. Exposure to NSAIDs was compared during a case period (1 to 30 days before the index date) with a control period (91 to 120 days before the index date). The adjusted odds ratios (ORs) of stroke and AMI were estimated using conditional logistic regression models. Our results showed that overall NSAIDs use increased the risk of stroke by 1.40-fold (95% confidence interval [CI] 1.25 to 1.56) and risk of AMI by 1.73-fold (95% CI 1.29 to 2.32). After classifying NSAIDs into selective and nonselective groups, only nonselective NSAIDs use significantly increased the risks of stroke (adjusted OR 1.39; 95% CI 1.25 to 1.55) and AMI (adjusted OR 1.82; 95% CI 1.37 to 2.41), respectively. In conclusion, nonselective NSAIDs were associated with an increased risk of both stroke and AMI in patients with RA.

Comparison of admission random glucose, fasting glucose, and glycated hemoglobin in predicting the neurological outcome of acute ischemic stroke: a retrospective study.

BACKGROUND: Hyperglycemia is a known predictor of negative outcomes in stroke. Several glycemic measures, including admission random glucose, fasting glucose, and glycated hemoglobin (HbA1c), have been associated with bad neurological outcomes in acute ischemic stroke, particularly in nondiabetic patients. However, the predictive power of these glycemic measures is yet to be investigated. METHODS: This retrospective study enrolled 484 patients with acute ischemic stroke from January 2009 to March 2013, and complete records of initial stroke severity, neurological outcomes at three months, and glycemic measures were evaluated. We examined the predictive power of admission random glucose, fasting glucose, and HbA1c for neurological outcomes in acute ischemic stroke. Furthermore, subgroup analyses of nondiabetic patients and patients with diabetes were performed separately. RESULTS: Receiver operating characteristic (ROC) analysis revealed that admission random glucose and fasting glucose were significant predictors of poor neurological outcomes, whereas HbA1c was not (areas under the ROC curve (AUCs): admission random glucose = 0.564, p = 0.026; fasting glucose = 0.598, p = 0.001; HbA1c = 0.510, p = 0.742). Subgroup analyses of nondiabetic patients and those with diabetes revealed that only fasting glucose predicts neurological outcomes in patients with diabetes, and the AUCs of these three glycemic measures did not differ between the two groups. A multivariate logistic regression analysis of the study patients indicated that only age, initial stroke severity, and fasting glucose were independent predictors of poor neurological outcomes, whereas admission random glucose and HbA1c were not (adjusted odds ratio: admission random glucose = 1.002, p = 0.228; fasting glucose = 1.005, p = 0.039; HbA1c = 1.160, p = 0.076). Furthermore, subgroup multivariate logistic regression analyses of nondiabetic patients and those with diabetes indicated that none of the three glycemic measures were associated with poor neurological outcomes. DISCUSSION: Fasting glucose is an independent predictor of poor neurological outcomes in patients with acute ischemic stroke and had greater predictive power than that of admission random glucose and HbA1c. The predictive power of glycemic measures for poor neurological outcomes did not differ significantly between the nondiabetic patients and those with diabetes.