Outcomes and Resource Utilization Associated With Readmissions After Atrial Fibrillation Hospitalizations.

Background Atrial fibrillation is the most common arrhythmia worldwide. Data regarding 30-day readmission rates after discharge for atrial fibrillation remain poorly reported. Methods and Results The Nationwide Readmission Database (2010-2014) was queried using the International Classification of Diseases, Ninth Revision (ICD-9) codes to identify study population. Incidence, etiologies of 30-day readmission and predictors of 30-day readmissions, and cost of care were analyzed. Among 1 723 378 patients who survived to discharge, 249 343 (14.4%) patients were readmitted within 30 days. Compared with the readmitted group, the nonreadmitted group had higher utilization of electrical cardioversion and catheter ablation. Atrial fibrillation was the most common cause of readmission (24.1%). Median time to 30-day readmission was 13 days. Advancing age, female sex, and longer stay during index hospitalization predicted higher 30-day readmissions, whereas private insurance, electrical cardioversion, catheter ablation, higher income, and elective admissions correlated with lower 30-day readmission. Comorbidities such as heart failure, neurological disorder, chronic obstructive pulmonary disease, diabetes mellitus, chronic kidney disease, chronic liver failure, coagulopathy, anemia, peripheral vascular disease, and electrolyte disturbance, correlated with increased 30-day readmissions and cost burden. Trend analysis showed a progressive decline in 30-day readmission rates from 14.7% in 2010 to 14.3% in 2014 (P trend, <0.001). Conclusions Approximately 1 in 7 patients were readmitted within 30 days of discharge, with symptomatic atrial fibrillation being the most common cause. We identified a predictive model for increased risk of readmissions and treatment expense. Electrical cardioversion during index admission was associated with a significant reduction in 30-day readmissions and service charges. The 30-day readmissions correlated with a substantial rise in the cost of care.

Trends in Incidence and Outcomes of Pregnancy-Related Acute Myocardial Infarction (From a Nationwide Inpatient Sample Database).

Acute myocardial infarction (AMI) during pregnancy is rare but fatal complication. Recent incidence of pregnancy related AMI and trends in the related outcomes are unknown. The Nationwide Inpatient Sample database was utilized from years 2005 to 2014. International Classification of Disease-Ninth Revision were used to identify pregnancy related admissions and AMI. Primary outcome was incidence and trend of AMI related to pregnancy and Secondary outcomes were trends in mortality, resource utilization, and predictors of AMI during pregnancy. Simple logistic regression model was used to calculate predictors of AMI during pregnancy. p Values for trends were generated by Cochrane-Armitage test for categorical variables and simple linear regression for continuous variables. A total of 43,437,621 pregnancy related hospitalization and 3,786 cases of AMI (86% ante-partum and 14% postpartum) were noted during study period. The incidence of AMI during the study period was 8.7 per 100,000 pregnancies with an overall increase in incidence during the study period (relative increase of 18.9%, p <0.001). There was a concomitant decrease in mortality (relative decrease of 40.05%, p <0.001), cost of care (relative decrease of 8.70%, p <0.001), and length of stay (relative decrease of 13.53%, p <0.001). Significant predictors of AMI during pregnancy were higher age of pregnancy, black race, co-morbidities such as hypertension, thrombophilia, diabetes milletus, substance abuse, smoking, hyperlipidemia, heart failure, deep venous thrombosis, transfusion, fluid and electrolyte imbalance, and postpartum complications such as hemorrhage, infection, and depression. In conclusion, the incidence of AMI 2005 to 2014 rose with a concomitant decrease in mortality and resource utilization. High-risk patient characteristics were identified which could be utilized for resource allocation to further improve outcomes.