RESUMO
Background: Cardiovascular disease patients are more likely to be readmitted within 30 days of being discharged alive. This causes an enormous burden on health-care systems in terms of poor care of patients and misutilization of resources. Aims and Objective: This study aims to find out the risk factors associated with 30-day readmission in cardiac patients at Heart Hospital, Qatar. Methods: A total of 10,550 cardiac patients who were discharged alive within 30 days at the heart hospital in Doha, Qatar, from January 2015 and December 2019 were analyzed. The bootstrap method, an internal validation statistical technique, was applied to present representative estimates for the population. Results: Out of the 10,550 cardiac patients, there were 8418 (79.8%) index admissions and 2132 (20.2%) re-admitted at least once within 30 days after the index admission. The re-admissions group was older than the index admission group (65.6 ± 13.2 vs. 56.0 ± 13.5, P = 0.001). Multinomial regression analysis showed that females were 30% more likely to be re-admitted than males (adjusted odds ratio [aOR] 1.30, 95% confidence interval [CI]: 1.11-1.50, P = 0.001). Diabetes (aOR 1.36, 95% CI: 1.20-1.53, P = 0.001), chronic renal failure (aOR 1.93, 95% CI: 1.66-2.24, P = 0.001), previous MI (aOR 3.22, 95% CI: 2.85-3.64, P = 0.001), atrial fibrillation (aOR 2.17, 95% C.I. : 1.10-2.67, P = 0.01), cardiomyopathy (aOR 1.72, 95% CI 1.47-2.02, P = 0.001), and chronic heart failure (aOR 1.56, 95% C.I.: 1.33-1.82, P = 0.001) were also independent predictors for re-admission in the regression model. C-statistics showed these variables could predict 82% accurately hospital readmissions within 30 days after being discharged alive. Conclusion: The model was more than 80% accurate in predicting 30-day readmission after being discharged alive. The presence of five or more risk factors was found to be crucial for readmissions within 30 days. The study may help design interventions that may result in better outcomes with fewer resources in the population.
RESUMO
Introduction: Studies from the US and Europe showed a decline in smoking among patients with acute myocardial infarction (AMI), but limited data are available from the Middle East. In this study, we describe the temporal trend in the prevalence, associated risk factors, and outcomes of smoking among patients with AMI in Qatar. Materials and Methods: A total of 27,648 AMI patients were analyzed from the cardiology registry at Heart Hospital, Doha, Qatar. This spans from January 1991 to May 2022. Results: Of the total, 13,562 patients (49.1%, 95% confidence interval [CI]: 48%-50%) were smokers, with a clear majority of males (98.5%). Smoking habit was found to decrease in AMI patients with increasing age (age 51-60 years, adjusted odds ratio [OR]: 0.71, 95% CI: 0.67-0.76, P = 0.001, and age ≥61 years, adjusted OR: 0.45, 95% CI: 0.42-0.48, P = 0.001, in comparison to age ≤50 years). Smoking was associated with a lower risk of inhospital mortality (adjusted OR: 0.61, 95% CI: 0.54-0.70, P = 0.001), but triglyceride, obesity, and old myocardial infarction risk factors were associated with a higher risk. A decreasing trend in current smoking habits in each quantile of the 1996-2000 year (adjusted OR: 0.82, 95% CI: 0.71-0.93, P = 0.001), 2001-2005 year (adjusted OR: 0.70, 95% CI: 0.62-0.80, P = 0.001), 2006-2010 year (adjusted OR: 0.75, 95% CI: 0.67-0.84, P = 0.001), 2011-2015 year (adjusted OR: 0.48, 95% CI: 0.42-0.54, P = 0.001), 2016-2020 year (adjusted OR: 0.48, 95% CI: 0.43-0.54, P = 0.001), and ≥2021 year (adjusted OR: 0.46, 95% CI: 0.40-0.53, P = 0.001) was observed in comparison to the quantile 1991-1995 year. Similar results were also observed in the young population (age ≤50 years) including the non-Qataris, who had 25% more smokers in comparison to Qatari nationals. Conclusion: Smoking trended down significantly; however, it remained prevalent in 50% of patients among AMI patients. Smokers were younger, with fewer traditional risk factors, and had lower inhospital mortality.
