Outcomes in a diabetic population of south Asians and whites following hospitalization for acute myocardial infarction: a retrospective cohort study

<p>Abstract</p> <p>Background</p> <p>The aim of this study was to determine whether South Asian patients with diabetes have a worse prognosis following hospitalization for acute myocardial infarction (AMI) compared with their White counterparts. We measured the risk of developing a composite cardiovascular outcome of recurrent AMI, congestive heart failure (CHF) requiring hospitalization, or death, in these two groups.</p> <p>Methods</p> <p>Using hospital administrative data, we performed a retrospective cohort study of 41,615 patients with an incident AMI in British Columbia and the Calgary Health Region between April 1, 1995, and March 31, 2002. South Asian ethnicity was determined using validated surname analysis. Baseline demographic characteristics and co-morbidities were included in Cox proportional hazard models to compare time to reaching the composite outcome and its individual components.</p> <p>Results</p> <p>Among the AMI cohort, 29.7% of South Asian patients and 17.6% of White patients were identified as having diabetes (n = 7416). There was no significant difference in risk of developing the composite cardiovascular outcome (Hazard Ratio = 0.90, 95% CI = 0.80-1.01). However, South Asian patients had significantly lower mortality at long term follow-up (HR = 0.62, 95% CI = 0.51-0.74) compared to their White counterparts.</p> <p>Conclusions</p> <p>Following hospitalization for AMI, South Asian patients with diabetes do not have a significantly different long term risk of a composite cardiovascular outcome compared to White patients with diabetes. While previous research has suggested worse cardiovascular outcomes in the South Asian population, we found lower long-term mortality among South Asians with diabetes following AMI.</p

Lay media reporting of rosiglitazone risk: extent, messaging and quality of reporting

<p>Abstract</p> <p>Background</p> <p>A meta-analysis suggested the use of rosiglitazone was associated with an increased risk for cardiovascular (CV) events. Rosiglitazone remained available for use as more definitive safety trials were ongoing. This issue was reported in the lay media.</p> <p>Objective</p> <p>To review lay media articles to determine the extent of media coverage, the nature of the messaging, and to assess the quality of reporting.</p> <p>Methods</p> <p>The Factiva media database was used to identify articles published between May 18 and August 31, 2007. Two reviewers (a lay person and a physician) screened full text articles for eligibility, appraised the articles for their tone (worrisome, neutral, not worrisome), and for the quality of medical data reporting.</p> <p>Results</p> <p>The search identified 156 articles, 95 of which were eligible for our review. Agreement between the lay and medical reviewers in the appraisal of the article tone was 67.4%. Among those with agreement, the articles were often appraised as "worrisome" (75.3%). Among those with disagreement, the lay reviewer was significantly more likely to appraise articles as worrisome compared to the medical reviewer (77.4% vs. 3.2%, X2 = 9.11, P = 0.003). Cardiovascular risk was discussed in 91.6% of the articles, but risk was often reported in qualitative or relative terms.</p> <p>Conclusion</p> <p>There were many lay media articles addressing the safety of rosiglitazone, and the general messaging of these articles was considered "worrisome" by reviewers. Quality of risk reporting in the articles reviewed was poor. The impact of such media coverage on public anxiety and confidence in treatment should be explored.</p

Clinical and medication profiles stratified by household income in patients referred for diabetes care

BACKGROUND: Low income individuals with diabetes are at particularly high risk for poor health outcomes. While specialized diabetes care may help reduce this risk, it is not currently known whether there are significant clinical differences across income groups at the time of referral. The objective of this study is to determine if the clinical profiles and medication use of patients referred for diabetes care differ across income quintiles. METHODS: This cross-sectional study was conducted using a Canadian, urban, Diabetes Education Centre (DEC) database. Clinical information on the 4687 patients referred to the DEC from May 2000 – January 2002 was examined. These data were merged with 2001 Canadian census data on income. Potential differences in continuous clinical parameters across income quintiles were examined using regression models. Differences in medication use were examined using Chi square analyses. RESULTS: Multivariate regression analysis indicated that income was negatively associated with BMI (p < 0.0005) and age (p = 0.023) at time of referral. The highest income quintiles were found to have lower serum triglycerides (p = 0.011) and higher HDL-c (p = 0.008) at time of referral. No significant differences were found in HBA1C, LDL-c or duration of diabetes. The Chi square analysis of medication use revealed that despite no significant differences in HBA1C, the lowest income quintiles used more metformin (p = 0.001) and sulfonylureas (p < 0.0005) than the wealthy. Use of other therapies were similar across income groups, including lipid lowering medications. High income patients were more likely to be treated with diet alone (p < 0.0005). CONCLUSION: Our findings demonstrate that low income patients present to diabetes clinic older, heavier and with a more atherogenic lipid profile than do high income patients. Overall medication use was higher among the lower income group suggesting that differences in clinical profiles are not the result of under-treatment, thus invoking lifestyle factors as potential contributors to these findings

Factors associated with study completion in patients with premature acute coronary syndrome

Background Factors associated with study completion in younger adults are not well understood. This study sought to describe psychosocial, clinical, and demographic features associated with completion of a study of men and women with premature acute coronary syndrome. Methods As part of the GENdEr and Sex determInantS of cardiovascular disease: From bench to beyond-Premature Acute Coronary Syndrome (GENESIS-PRAXY) study, demographic, psychosocial, and clinical variables were assessed in 1213 patients hospitalized for acute coronary syndrome (<= 55 years; 30% women). Patients were followed for 12 months. Dropouts withdrew from the study or were lost to follow-up after 12 months; completers were still enrolled after 12 months. Results Of 1213 patients initially enrolled, 777 (64.1%) completed 12-month follow-up. Fully adjusted models suggested that being older (OR = 1.04, 95% CI [1.01, 1.06]), higher subjective social status within one's country (OR = 1.11, 95% CI [1.01, 1.22]), being free of type II diabetes, (OR = 0.66, 95% CI [0.45, 0.97]), non-smoking status (OR = 0.70, 95% CI [0.51, 0.95]) and being free of depression (OR = 1.52, 95% CI [1.11, 2.07]) were independently associated with study completion. Conclusions Recruitment/retention strategies targeting individuals who smoke, are younger, have low subjective social status within one's country, have diabetes, or have depression may improve participant follow-up in cardiovascular cohort studies.Canadian Institutes of Health Research [200804MOP-190260-GSH-CFAC-40513, OR-201303, CFE-113622]Heart and Stroke Foundation of Quebec, CanadaHeart and Stroke Foundation of Nova Scotia, CanadaHeart and Stroke Foundation of Alberta, CanadaHeart and Stroke Foundation of Ontario, CanadaHeart and Stroke Foundation of Yukon, CanadaHeart and Stroke Foundation of British Columbia, CanadaFonds de recherche du Quebec - Sante (FRQS) awar

Measuring medication adherence in patients with incident hypertension: a retrospective cohort study

Abstract Background Though pharmacy claims data are commonly used to study medication adherence, there remains no standard operational definition for adherence especially for patients on multiple medications. Even when studies use the same terminology, the actual methods of calculating adherence can differ drastically. It is unclear whether the use of different definitions results in different conclusions regarding adherence and associated outcomes. The objective of our study was to compare adherence rates and associations with mortality using different operational definitions of adherence, and using various methods of handling concurrent medication use. Methods We conducted a cohort study of patients aged ≥65 years from Manitoba, Canada, with incident hypertension diagnosed in 2004 and followed to 2009. We calculated adherence rates to anti-hypertensive medications using different operational definitions of medication adherence (including interval and prescription based medication possession ratios [MPR] and proportion of days covered [PDC]). For those on concurrent medications, we calculated adherence rates using the different methods of handling concurrent medication use, for each definition. We used logistic regression to determine the association between adherence and mortality for each operational definition. Results Among 2199 patients, 24.1% to 90.5% and 71.2% to 92.7% were considered adherent when using fixed interval and prescription-based interval medication possession ratios [MPRi and MPRp] respectively, depending on how concurrent medications were handled. Adherence was inversely associated with death, with the strongest association for MPRp measures. This association was significant only when considering adherence to any anti-hypertensive [aOR 0.70, 95% CI 0.51, 0.97], or when the mean of the class-specific MPRp’s [adjusted OR 0.71, 95% CI 0.53, 0.95] was used. No significant association existed when the highest or lowest class-specific MPRp was used as the adherence estimate. Conclusion The range of adherence estimates varies widely depending on the operational definition used. Given less variation in adherence rates and their stronger association against mortality, we recommend using prescription-based MPR’s to define medication adherence