International journal of cardiology
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In patients at high risk of stroke, such as atrial fibrillation (AF), there has been great interest in developing stroke risk prediction schemes for identifying those at high risk of stroke. Stroke risk prediction schemes have also been developed in non-AF populations, but are limited by lack of simplicity, which is more evident in schemes used in AF populations. We hypothesized that contemporary stroke risk stratification schemes used in assessing AF patients could predict stroke and thromboembolism in a non-AF community population, comparably to that seen in AF populations. ⋯ Contemporary stroke risk stratification schema used for AF can also be applied to non-AF populations with a similar (modest) predictive value. Given their simplicity (e.g. CHADS2 score), these scores could potentially be used for a 'quick' evaluation of stroke risk in non-AF populations, in a similar manner to AF populations.
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Multicenter Study
Provider profiling models for acute coronary syndrome mortality using administrative data.
Administrative data have been used to construct risk-adjustment models for provider profiling to benchmark hospital performance for acute myocardial infarction (AMI), but much less for acute coronary syndrome (ACS). We assess the impact on risk model performance and hospital-level mortality rate ratios (SMRs) of three key issues: comorbidity measurement methods, inter-hospital transfers and post-discharge deaths. ⋯ Models for comparing hospitals' ACS mortality can be constructed with good discrimination using English administrative hospital data. Adjusting for transfers in and capturing post-discharge deaths are more important than the choice of comorbidity adjustment.
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The aim of the study is to design a specific Intensive Care Unit length-of-stay risk model based on the preoperative factors and surgeries utilizing modeling strategies for time-to-event data in a prospective observational clinical study. ⋯ ICU-LOS can be predicted by preoperative data and type of surgeries. The derived ICU-LOS prediction model is dynamic and most predictors have an effect that decreases with time. The algorithm can preoperatively predict ICU-LOS curves and could have a major role in the decision making-behavior of clinicians, resources' allocation and maximization of care for high-risk patients.
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Atrial fibrillation (AF) is the commonest sustained cardiac arrhythmia. In developing countries, AF is a growing public health problem with the epidemiologic transition from communicable to non-communicable diseases. However, relatively little is known about AF in the developing world. The aim of this review is to examine in developing countries the prevalence, associated medical conditions and management of AF. ⋯ The limited studies available suggest that in the developing world there is a significant prevalence of AF, which is predominantly associated with hypertension and valvular heart disease, and carries a risk of stroke. Highly variable use of anticoagulants may be related to different health care and socioeconomic settings. More studies are needed to improve understanding of the epidemiology and management of AF in developing countries.