Sharma, Purnima

Introduction: Risk stratification of the pregnant population is critical to improving outcomes associated with pregnancy-related Acute myocardial infarction (AMI). Methods: Pregnancy-related hospitalizations (antepartum as well as postpartum) and AMI were identified using appropriate International classification of disease-Ninth revision (ICD-9) codes from nationwide inpatient sample database (2005-2014). Simple logistic regression was used to calculate predictors of AMI during pregnancy. Results: We identified 3,786 cases of AMI from a total of 43,437,621 pregnancy related hospitalization during study period. Compared to pregnant women <20-year, we noted more than 10-fold risk of AMI among patients ≥ 40 years (OR 10.1, 95% CI 5.3-19.0, p<0.001). Other significant predictors of AMI during pregnancy were black race compared to white ( OR 1.6, 95% CI 1.3-1.9, p<0.001), co-existing comorbidities such as hypertension (OR 1.9, 95% CI 1.5-2.5, p<0.001),, thrombophilia (OR 4.8, 95% CI 2.7-8.5, p<0.001), diabetes milletus (OR 1.4, 95% CI 1.0-1.9, p<0.027),hyperlipidemia (OR 13.2, 95% CI 9.9-17.6, p<0.001),smoking (OR 3.3, 95% CI 2.3-4.6, p<0.001), substance abuse (OR 1.7, 95% CI 1.2-2.6, p=0.007), congestive heart failure (OR 26.0, 95% CI 20.3-33.2 p<0.001), deep venous thrombosis (OR 2.8, 95% CI 1.3-6.2, p=0.010) as well as obstetric condition including postpartum hemorrhage (OR 1.8, 95% CI 1.3-2.4, p<0.001),, transfusion during pregnancy (OR 3.2, 95% CI 2.4-4.2, p<0.001), postpartum infection (OR 2,7, 95% CI 1.9-3.9, p<0.001),, fluid and electrolyte imbalance (OR 5.2, 95% CI 4.2- 6.6, p<0.001), and postpartum depression (OR 1.4, 95% CI 1.1-1.9 p=0.013). Conclusions: We identified certain patient-level characteristics which correlated to high risk of AMI. This information can be utilized to decide resource allocation and the introduction of early multidisciplinary intervention among high-risk population

Introduction: Acute myocardial infarction (AMI) during pregnancy is a rare but fatal complication. Recent trends in incidence of pregnancy-related AMI and associated outcomes are unclear. Methods: Nationwide inpatient sample (NIS) database was utilized for years 2005-2014. International classification of disease-Ninth revision (ICD-9) was used to identify pregnancy-related (antepartum as well as postpartum) admissions and acute myocardial infarction (AMI). The primary outcome was incidence and trend of AMI related to pregnancy during the study period. Secondary outcomes were trends in mortality and resource utilization. P-values for trends were generated by Cochrane-Armitage test for categorical variables and simple linear regression for continuous variables. Results: We identified a total of 43,437,621 pregnancy-related hospitalization and 3,786 cases of AMI (86% antepartum and 14% post-partum) were noted during the study period. The incidence of AMI during the study period was 8.7 per 100,000 pregnancies with an overall increase in incidence during study period (relative increase of 18.9%, p <0.001) and 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). Conclusions: Incidence of AMI during the period is on the rise in recent years with concomitant improvement in mortality and resource utilization. This reflects improved diagnostic capability and a better understanding of non-atherosclerotic mechanisms of AMI during pregnancy such as spontaneous coronary artery dissection, coronary spasm, and coronary thrombus.

AbstractBackgroundUtilization of catheter ablation of ventricular tachycardia (VT) has steadily increased in recent years. Exploring short‐term outcomes is vital in health care planning and resource allocation.MethodsThe Nationwide Readmissions Database from 2010 to 2014 was queried using the ICD‐9 codes for VT (427.1) and catheter ablation (37.34) to identify study population. Incidence, causes of 30‐day readmission, in‐hospital complications as well as predictors of 30‐day readmissions, complications, and cost of care were analyzed.ResultsAmong 11 725 patients who survived to discharge after index admission for VT ablation, 1911 (16.3%) were readmitted within 30 days. Paroxysmal VT was the most common cause of 30‐day readmission (39.51%). Dyslipidemia, chronic kidney disease (CKD), previous CABG, congestive heart failure (CHF), chronic pulmonary disease, and anemia predicted increased risk of 30‐day readmissions. The overall in‐hospital complication rate was 8.2% with vascular and cardiac complications being the most common. Co‐existing CKD and CHF and the need for mechanical circulatory support (MCS) predicted higher complication rates. Similarly increasing age, CKD, CHF, anemia, in‐hospital use of MCS or left heart catheterization, teaching hospital, and disposition to nursing facilities predicted higher cost.ConclusionApproximately one in six patients was readmitted after VT ablation, with paroxysmal VT being the most common cause of the readmission. A complication rate of 8.2% was noted. We also identified a predictive model for increased risk of readmission, complication, and factors influencing the cost of care that can be utilized to improve the outcomes related to VT ablation.

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.