The prevalence of 30‐day readmission after acute myocardial infarction: A systematic review and meta‐analysis

Abstract

Objective The 30‐day readmission is associated with increased medical costs, which has become an important quality metric in several medical institutions. This current study is aimed at clarifying the prevalence, the underlying risk factors, and reasons of the 30‐day readmission after acute myocardial infarction (AMI). Methods PubMed, Cochrane Library, and EMBASE were systematically searched to identify eligible studies. Random‐effect models were employed to perform pooled analyses. Means and 95% confidence intervals (CIs) were used to estimate prevalence and reasons for 30‐day readmission. We also used Odds ratios (ORs) to explore the potential significant predictors of risk factors of 30‐day readmission after AMI. Potential publication bias was assessed using funnel plot and Begg'test. Results A total of 14 relevant studies were included in this systematic review and meta‐analysis. The pooled 30‐day readmission rate of AMI was 12% (95% CI 0.11‐0.14). Acute coronary syndrome (ACS), angina and acute ischemic heart disease, and heart failure (HF) were the principal cardiovascular reasons of 30‐day readmission. Meanwhile, non‐specific chest pain was regarded as the significant cause among non‐cardiovascular reasons. The common co‐morbidities kidney disease, HF and diabetes mellitus were significant risk factors for 30‐day readmission. No significant publication bias was found by funnel plot and statistical tests. Conclusions The 30‐day readmission rate of post‐AMI ranged from 11% to 14% and can be mainly attributed to cardiovascular and non‐cardiovascular events. The common co‐morbidities, such as kidney disease, HF, and diabetes mellitus were significant risk factors for 30‐day readmission.

Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions

“…Previous studies reported similar 30-d readmission rates for HF [31,32] and AMI [40,41]. A recent meta-analysis reported a pooled readmission rate for AMI of only 12% [42], but our patients were remarkably older; only one of the 14 included studies exclusively considered a population � 65 and found a readmission rate of 22% [43], which is much closer to our estimate (19.2%). Our results are also consistent with reported 30-d readmission rates for COPD (16.5-22.6%) [31,32,44], or DM (14.2-25%) [45][46][47][48].…”

Risk factors and outcomes of cardiovascular disease readmission within the first year after dialysis in peritoneal dialysis patients

“…Kidney diseases have been shown to be a risk factor for CVD readmission in patients within 30 days after acute myocardial infarction (AMI) and other diseases [ 16 , 24–26 ]. In the current study, we found that an advanced age, a history of CVD, and a lower albumin level were independently associated with a higher risk of first-year CVD readmission.…”

Factors Predicting Hospital Readmission among Thais with Post Myocardial Infarction

“…Considered variables were retrieved from literature reviews [1][2][3][9][10][11] and selected from the existing database, as well as some that could be derived. The potential predictors of readmission among patients with AMI were gender, diabetes and hypertension comorbidities, anemia with hematocrit < 33 vol%, stage-3 chronic kidney disease with serum creatinine ≥ 2 mg/dL, atrial fibrillation, smoking, and type of myocardial infarction.…”

“…Most existing models were developed in different settings and periods, thus may not be appropriate to be applied in other contexts. Previous studies [1][2][3][9][10][11] have identified that clinical and laboratory parameters, including atrial fibrillation, severity of AMI, and hypertension, confer a higher risk for an early period of cardiovascular admission, whereas smoking and the burden of comorbid non-cardiac illness, including chronic kidney disease, diabetes mellitus, hypertension, anaemia, and pulmonary disease, raises the risk for AMI-related complications in late readmission. These factors may potentially modify the target for future interventions.…”