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OBJECTIVE: Robotically assisted PCI offers a great alternative to S-PCI. This has gained even more relevance during the COVID-19 pandemic era however safety of R-PCI compared to S-PCI has not been studied well. This study explores the safety and efficacy of robotically assisted PCI (R-PCI) compared to standard PCI (S-PCI) for the treatment of coronary artery disease (CAD). METHODS: PubMed, Scopus, Ovid, and Google scholar databases were searched for studies comparing R-PCI to S-PCI. Outcomes included clinical success, procedure time, fluoroscopy time, contrast use and radiation exposure. RESULTS: Theauthors included 5 studies comprising 1555 patients in this meta-analysis. Clinical success was comparable in both arms (p = 0.91). Procedure time was significantly longer in R-PCI group (risk ratio: 5.52, 95% confidence interval: 1.85 to 9.91, p = 0.003). Compared to S-PCI, patients in R-PCI group had lower contrast use (meandifference: -19.88, 95% confidence interval: -21.43 to -18.33, p

Background: Outcome data following transcatheter mitral valve repair (TMVR) with the MITRACLIP® device are scarce outside the pivotal randomized controlled trials. Methods: The Nationwide Readmission Data base (NRD) was utilized for years 2013–2017 to identify the study population. Thirty-day readmission pattern, in-hospital complications, causes of readmissions, and multivariate predictors for readmission, complications and mortality were explored. Results: We noted a total of 14,647 index admissions related to MITRACLIP of which 48% of procedures were performed at high volume centers (Annual hospital volume ≥ 25). A total of 15% of patients were readmitted within 30 days of discharge most frequently due to cardiac causes. Approximately 33% of patients were discharged within 24 h of the procedure. The in-hospital mortality rate was 2.8% and in-hospital complication rate was 14.6%. The most common complications were cardiac complications (8.2%), bleeding related complications (5.9%) and vascular complications (0.65%). On multivariate modeling, female sex, CHF, Atrial fibrillation, prior PCI, COPD, CKD, transfer to skilled nursing facility, length of stay ≥2 days were associated with a high risk of readmission. Additionally, coagulopathy, chronic kidney disease and lengthier hospital stays were associated with high risk of complication or death. Conclusion: The 30-day readmission rate following commercial treatment with the MITRACLIP device is 15%. Half of these admission were from a cardiac etiology. Heart failure, atrial arrhythmias and clip related complications round out the top 3 cardiac reasons for readmission. There was no impact of hospital size, teaching status or case volume on mortality and in hospital complication rates.

Objectives The aim of this study was to determine the impact of invasive approaches and revascularization in patients with cocaine-associated non–ST-segment elevation myocardial infarction (NSTEMI). Background The role of invasive approaches in cocaine-associated NSTEMI is uncertain. Methods This retrospective cohort study identified 3,735 patients with NSTEMI and history of cocaine use from the Nationwide Readmissions Database from 2016 to 2017. Invasive approaches were defined as coronary angiography, percutaneous coronary intervention (PCI), and coronary artery bypass grafting (CABG). Revascularization was defined as PCI and CABG. The primary efficacy outcome was major adverse cardiac events (MACE), and the primary safety outcome was emergent revascularization. Nonadherence was identified using appropriate International Classification of Diseases-Tenth Revision codes. Two propensity-matched cohorts were generated (noninvasive vs. invasive and noninvasive vs. revascularization) through multivariate logistic regression. Results In the propensity score–matched cohorts, an invasive approach (hazard ratio [HR]: 0.72; 95% confidence interval [CI]: 0.56 to 0.92; p = 0.008) and revascularization (HR: 0.54; 95% CI: 0.40 to 0.73; p Conclusions Invasive approaches and revascularization for cocaine-associated NSTEMI are associated with lower morbidity. A history of medical nonadherence was not associated with a difference in morbidity but was associated with an increased risk for emergent revascularization with PCI.

Influenza is associated with significant morbidity in the United States but its influence on in-hospital outcomes in patients with AMI has not been well studied. The Nationwide Readmission Database (NRD) from 2010 to 2014 was queried using the International Classification of Diseases-Ninth edition, Clinical Modification (ICD-9-CM) codes to identify all patients ≥18 years who were admitted for AMI with and without concurrent influenza. Propensity score matching was used to adjust patients' baseline characteristics and co-morbidities. In-hospital mortality, 30-day readmission rates, in-hospital complications, and resource utilization were analyzed. We identified a total of 2,428,361 patients admitted with AMI, of whom 3,006 (0.12%) had coexisting influenza. We noted significantly higher in-hospital mortality (7.7% vs 5.6%, p

Background Utilization 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. Methods The 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. Results Among 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. Conclusion Approximately 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.

Spontaneous coronary artery dissection (SCAD) is a frequently missed diagnosis in patients presenting with acute coronary syndrome (ACS). Our aim was to evaluate the causes, trends, and predictors of 90-day hospital readmission in patients presenting with SCAD. The Nationwide Readmissions Database (2013 to 2014) was utilized to identify patients with primary discharge diagnosis of SCAD using the International Classification of Diseases, Ninth Revision, Clinical Modification, diagnostic code 414.12. The primary outcome was 90-day readmission. Among 11,228 patients admitted with the primary diagnosis of SCAD, 2,424 patients (21.6%) were readmitted within 90 days (68% women, 82%

Background Takotsubo cardiomyopathy (TC) is diagnosed in 1% to 2% of patients presenting with suspected acute coronary syndromes. Readmission patterns after TC have been less studied. Thus, we sought to perform a study to evaluate the etiologies, trends, and predictors of 90-day readmission in TC. Methods The Nationwide Readmissions Database (NRD), 2014, was used to select the study cohort. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic code 429.83 was used to identify TC. Admissions within 90 days of index admission were considered early readmissions. Readmission etiologies were identified by an ICD-9-CM code. Hierarchical multivariate models were used to evaluate predictors of early readmission. Results A total of 28,079 patients were identified during the study period, of whom 24.3% (n = 6841) were readmitted within 90 days of discharge. In-hospital mortality during index admissions was 5.69%. The most common etiologies for readmission were cardiac (18.56%), respiratory (17.20%), and infections (13.12%). Among cardiac complications, acute heart failure was the most common etiology (7.48%). The highest number of readmissions happened on the first day after discharge (n = 125). On multivariate analysis, the age of 50–64 years, diabetes, heart failure, chronic pulmonary disease, peripheral vascular disease, anemia, and malignancy were shown to be significant predictors of readmission. Patients of female gender are less likely to be readmitted and have lower in-hospital mortality. Conclusions Patients with TC are highly likely to be readmitted within the first month after discharge, most likely with secondary to cardiac or respiratory complications. These findings warrant close post-discharge transition to reduce morbidity and improve healthcare outcomes. Summary This analysis from the Nationwide Readmission Database outlines a detailed analysis on etiologies, trends, and predictors of 90-day readmission for patients presenting with takotsubo cardiomyopathy.

Type 2 myocardial infarction (Type 2 MI) is a common problem and carries a high diagnostic uncertainty. Large studies exploring outcomes in type 2 MI are lacking. Nationwide Readmission Database (2017) was queried using the International Classification of Diseases codes (ICD-10-CM) to identify type 2 MI patients. Characteristics, in-hospital outcomes, 30-day readmissions, and predictors of in-hospital mortality as well as 30-day readmissions were explored. We identified 21,738 patients with a diagnosis of type 2 MI. Most common primary diagnosis at presentation included infection/sepsis (27.5%), hypertensive heart disease (15.3%) and pulmonary diseases (8.5%). Overall, in-hospital mortality and 30-day readmission for patients with type 2 MI were 9.0% and 19.1% respectively. On multivariable analysis, significant predictors of increased in-hospital mortality included male gender, coexisting atrial fibrillation/flutter, peripheral vascular disease, coagulopathy, malignancy, and fluid/electrolyte abnormalities. Significant predictors of 30-day readmission were coexisting diabetes mellitus, atrial fibrillation/ flutter, carotid artery stenosis, anemia, COPD, CKD and prior history of myocardial infarction, A primary diagnosis of sepsis, pulmonary issues including respiratory failure, neurological conditions including stroke carried highest risk of mortality however readmission risk was not influenced by primary diagnosis at presentation. In conclusion, approximately 1 in 10 patients admitted for type 2 MI died during admission, and nearly 1 in 5 patients were readmitted at 30 days after discharge. In-hospital mortality varied based on associated primary diagnosis at presentation. Proposed predictive model for mortality and 30-day readmission in our study can help to target high risk patients for post-Type 2 MI care.

Contemporary trends of mechanical complications like papillary muscle rupture (PMR), ventricular septal defect/rupture (VSR), and free wall rupture (FWR) in ST-elevation m'yocardial infarction (STEMI), especially in the era of primary percutaneous coronary interventions (PPCI) has not been definitively investigated. We utilized the National Inpatient Sample (NIS) database from years 2003 to 2017 using International Classification of Disease 9th and 10th revision (ICD-9 and ICD-10) codes to identify STEMI patients undergoing PPCI, fibrinolysis alone, and fibrinolysis with subsequent PCI. We identified those developing in-hospital PMR /VSD / FWR. We identified a total of 2,034,153 STEMI patients where 93.5% had PPCI, 3.2% had fibrinolysis alone, and 3.3% had fibrinolysis with subsequent PCI. Rates of all mechanical complications was low for all three different reperfusion strategies evaluated, with downward trends (p

Background Congestive heart failure (CHF) is a frequent cause of inpatient admissions in the United States. The purpose of this study was to analyze the racial and gender disparities that occur in CHF admissions and determine the impact of these disparities on medical expenditure. Methods We analyzed the National Inpatient Sample (NIS) database from 2009 to 2014 for patients with a primary discharge diagnosis of CHF, and further stratified the cohort on the basis of race and sex. Multivariate analysis was performed to identify the association between CHF and total charges along with other variables such as mortality, length of stay (LOS), and number of procedures. Results There were a total of 5,491,050 admissions with a primary diagnosis of CHF from 977,850 in 2009 to 901,425 in 2014. Females accounted for 49.7%. Total charges for CHF admission were highest in Asians at an average cost of $59,668. African Americans had the lowest mortality rate at 1.75%, however, they also had an average age of admission of 63.47 years, compared to Caucasian at 76.76 (p

Background The improved life expectancy observed in patients living with human immunodeficiency virus (HIV) infection has made age‐related cardiovascular complications, including arrhythmias, a growing health concern. Hypothesis We describe the temporal trends in frequency of various arrhythmias and assess impact of arrhythmias on hospitalized HIV patients using the Nationwide Inpatient Sample (NIS). Methods Data on HIV‐related hospitalizations from 2005 to 2014 were obtained from the NIS database using International Classification of Diseases, 9th Revision (ICD‐9) codes. Data was further subclassified into hospitalizations with associated arrhythmias and those without. Baseline demographics and comorbidities were determined. Outcomes including in‐hospital mortality, cost of care, and length of stay were extracted. SAS 9.4 (SAS Institute Inc., Cary, NC) was utilized for analysis. A multivariable analysis was performed to identify predictors of arrhythmias among hospitalized HIV patients. Results Among 2 370 751 HIV‐related hospitalizations identified, the overall frequency of any arrhythmia was 3.01%. Atrial fibrillation (AF) was the most frequent arrhythmia (2110 per 100 000). The overall frequency of arrhythmias increased over time by 108%, primarily due to a 132% increase in AF. Arrhythmias are more frequent among older males, lowest income quartile, and nonelective admissions. Patients with arrhythmias had a higher in‐hospital mortality rate (9.6%). In‐hospital mortality among patients with arrhythmias decreased over time by 43.8%. The cost of care and length of stay associated with arrhythmia‐related hospitalizations were mostly unchanged. Conclusions Arrhythmias are associated with significant morbidity and mortality in hospitalized HIV patients. AF is the most frequent arrhythmia in hospitalized HIV patients.

Due to limited real-world data, the aim of this study was to explore the impact of catheter ablation (CA) for atrial fibrillation (AF) in heart failure (HF). This retrospective cohort study identified 119,694 patients with AF and HF from the Nationwide Readmissions Database (NRD) from 2016 to 2017. Propensity-matching was generated using demographics, comorbidities, hospital and other characteristics through multivariate logistic regression. Greedy's propensity score match (1:15) algorithm was used to create matched data. The primary end point was a composite of HF readmission and mortality at 1 year. Secondary outcomes include HF readmission, mortality, AF readmission, and any-cause readmission at 1 year. Of the 119,694 patients, 63,299 had HF with reduced ejection fraction (HFrEF), and 56,395 had HF with preserved ejection fraction (HFpEF). In the overall HFrEF cohort, the primary outcome was similar (HR, 95% confidence interval, p-value) (1.01, 0.91 to 1.13, 0.811). AF readmission (0.41, 0.33 to 0.49,0.001) and any readmission (0.87, 0.82 to 0.93,0.001) were reduced with CA. In the propensity-matched HFrEF cohort, results were unchanged (primary outcome: 1.10, 0.95 to 1.27, 0.189; AF readmission: 0.46, 0.36 to 0.59,0.001; any readmission: 0.89, 0.82 to 0.98, 0.015). In the overall HFpEF cohort, the primary outcome was similar (0.90, 0.78 to 1.04, 0.154). AF readmission was reduced with CA (0.54, 0.44 to 0.65,0.001). In the propensity-matched HFpEF cohort, results were unchanged (primary outcome 1.10, 0.92 to 1.31, 0.289; AF readmission 0.44, 0.33 to 0.57,0.001). CA did not reduce mortality and HF readmission at one year irrespective of the type of HF, but significantly reduce readmission due to AF.

BACKGROUND Percutaneous coronary intervention (PCI) is well established for the treatment of obstructive coronary artery disease. This study was performed to assess the impact of in-hospital mortality and 30-day readmission with intracoronary imaging as an adjunct to baseline coronary angiography. METHODS The study was derived from the Healthcare Cost and Utilization Project's National Readmission Database (NRD) of 2016, sponsored by the Agency for Healthcare Research and Quality. Patients who underwent PCI were identified using appropriate ICD-10 codes. Study population was further subcategorized into 2 PCI arms: intravascular imaging (''imaging'' group) and fluoroscopy guided (''angiography'' group). Primary endpoints were 30-day readmissions and in-hospital mortality. Secondary endpoints were length of stay, cost of care, predictors of 30-day readmission and in-hospital mortality in PCI related hospitalizations. RESULTS We identified in total 188,368 index admissions, with 12,379 patients in the "imaging-guided" group and 175,989 in the "angiography-alone" group. There were no differences in 30-day readmissions between both groups (~10.8% in both arms, p = .788). However, in-hospital mortality carried a statistically significant reduction with use of imaging-guided PCI (1.72% vs 2.24%, p = .004). The median length of stay was longer in the imaging-guided arm (3 vs. 2 days, p

Transcatheter aortic valve implantation (TAVI) has become the mainstream treatment for severe aortic stenosis. Despite improvement in device iteration and operator experience rigorous outcome data outside the scope of clinical trials is lacking. Nationwide readmission database 2016 and 2017 was utilized to identify the study population. International Classification of Disease,10th edition codes were used to identify TAVI admissions. Outcomes of interest were the 90-day readmission pattern and in hospital complications of the TAVI procedure. A total of 73,784 TAVI related index admissions were identified in the Nationwide Readmission Database in 2016 to 2017. Forty four percent of patients undergoing TAVI in that timeframe were discharged within 48 hours of their procedure. 16,343 patients (22.2%) were readmitted within 90 days after discharge. Major cardiac co-morbidities like heart failure were prevalent more often in the group of patients that were readmitted within 90 days. Noncardiac causes however accounted for two thirds of these readmissions. The median time to 90-day readmission was 31 days. Multivariate analysis showed that nonagenarians, patients undergoing transapical TAVI, and patients with a higher comorbidity burden were more likely to be readmitted within 90 days. In conclusion, almost half of TAVI patients in the US are discharged within 48 hours after their procedure and 20% of all TAVI patients are readmitted within 90 days. Most readmissions are due to noncardiac causes.

Background Transcatheter aortic valve replacement (TAVR) has evolved toward a minimalist approach, resulting in shorter hospital stays. Real-world trends of next-day discharge (NDD) TAVR are unknown. This study aimed to evaluate underlying trends and readmissions of NDD TAVR. Methods This study was derived from the Nationwide Readmissions Database from 2012 to 2016. International Classification of Diseases, Ninth and Tenth Revisions, codes were used to identify patients. Any discharge within 1 day of admission was identified as NDD. NDD TAVR trends over the years were analyzed, and any admissions within 30 days were considered readmissions. A hierarchical logistic regression model was used to identify predictors of readmission. Results Of 49,742 TAVR procedures, 3,104 were NDD. The percentage of NDD TAVR increased from 1.5% (46/3,051) in 2012 to 12.2% (2,393/19,613) in 2016. However, the 30-day readmission rate remained the same over the years (8.6%). The patients' mean age was 80.3 ± 8.4 years. Major readmission causes were heart-failure exacerbation (16%), infections (9%), and procedural complications (8%). In 2016, there were significantly higher late conduction disorder and gastrointestinal bleeding readmission rates than in 2012-2015. Significant predictors of readmission were anemia, baseline conduction disease, cardiac arrhythmias, heart failure, chronic kidney disease, chronic obstructive pulmonary disease, neoplastic disorders, and discharge to facility. Conclusions The percentage of NDD TAVR increased over the years; however, readmission rates remained the same, with a higher rate of conduction abnormality–related hospitalizations in 2016. Careful discharge planning that includes identification of baseline factors that predict readmission and knowledge of etiologies may further prevent 30-day readmissions.

The relationship between severity of obesity and outcomes in heart failure (HF) has long been under debate. We studied index HF admissions from the 2013–14 National Readmission Database. Admissions were separated into three weight-based categories: non-obese (Non-Ob), obese (Ob), and morbidly obese (Morbid-Ob) to analyze hospital mortality and readmission at 30 days and 6 months. We investigated etiologies and predictors of 30-day readmission among these weight categories. We studied a total of 578,213 patients of whom 3.0% died during index hospitalization (Non-Ob 3.3% vs. Ob 1.9% vs. Morbid-Ob 1.9%; p

Aims The Food and Drug Administration (FDA) approval of the Watchman device [percutaneous left atrial appendage occlusion (LAAO)] has resulted in the widespread use of this procedure in many centres across the USA. We sought to estimate the nationwide utilization and frequency of adverse outcomes associated with Watchman device implantation. The objective of this study was to evaluate the Watchman device implantation peri-procedural complications and comparison of the results with the previous studies.Methods and results The National Inpatient Sample (NIS) was queried for all hospitalizations with a primary diagnosis of atrial fibrillation or atrial flutter during the year 2016 with percutaneous LAAO during the same admission (ICD-10 code—02L73DK). The frequency of peri-procedural complications, including mortality, procedure-related stroke, major bleeding requiring blood transfusion, and pericardial effusion, was assessed. We compared the complication rates with the published randomized controlled trials and the European Watchman registry. An estimated 5175 LAAO procedures were performed in 2016. The majority of procedures was performed in males (59.1%), age ≥75 years (58.7%), and White (83.1%). The overall complication rate was 1.9%. The in-hospital mortality was 0.29%. Pericardial effusion requiring pericardiocentesis was the most frequent complication (0.68%). Bleeding requiring transfusion was noted in 0.1% of device implants. The rates of post-procedure stroke and systemic embolism were 0% and 0.29%, respectively.Conclusion Percutaneous LAAO with the Watchman device in the USA is associated with low in-hospital complications and a similar safety profile to a recently published EWOLUTION cohort. The complication rates were lower than those reported in the major randomized clinical trials (RCTs). We report the frequency of peri-procedural complications of the LAAO using the Watchman device from the NIS database. We also compare the frequency of peri-procedural complications with the previously published RCTs and EWOLUTION cohort. Our findings are in concordance with findings from EWOLUTION cohort and compare favourably with RCTs.

The 30-day readmission rates, predictors, and outcomes for acute heart failure (AHF) patients are well published, but data beyond 30 days and the association between readmission-free period (RFP) and in-hospital readmission-related mortality remain unknown. We queried the National Readmission Database to analyze comparative outcomes of AHF. Patients were divided into three groups based on their RFP: group 1 (1-30 days), group 2 (31-90 days), and group 3 (91-275 days). AHF cases and clinical variables were identified using ICD-9 codes. The primary outcome was in-hospital mortality at the time of readmission. A total of 39,237 unplanned readmissions occurred within 275 days; 15,181 within group 1, 11,925 within group 2, and 12,131 within group 3. In-hospital mortality in groups 1, 2, and 3 were 7.4%, 5.1%, and 4.1% (p 0.001). Group 1 had higher percentages of patients with cardiogenic shock (1.3% vs. 0.9% vs. 0.9%; p 0.001), acute kidney injury (30.2% vs. 25.9% vs. 24.0%; p 0.001), dialysis use (8.6% vs. 7.5% vs. 6.9%; p 0.001), and non-ST elevation myocardial infarction (4.4% vs. 3.8% vs. 3.6%; p 0.001), but there was no statistical difference among the three groups for ST-elevation myocardial infarction, percutaneous coronary intervention (PCI), or ventricular assist device use at the time of index admission. However, group 3 had higher PCI (1.7%) compared with groups 1 and 2 (p 0.001). In multivariable logistic regression, groups 2 and 3 had odd ratio of 0.70 and 0.55, respectively, for in-hospital mortality compared with group 1. Longer RFP is associated with decreased risk of in-hospital mortality at the time of first readmission.

Background Pulmonary embolism (PE) is associated with significant morbidity and mortality in hospitalized patients. Real time data on 90-day mortality, bleeding, and readmission is sparse. Methods The study cohort was derived from the National Readmission Data (NRD) 2013 to 2014. PE was identified using International Classification of Diseases, ninth Revision (ICD-9-CM) code 415.11/3/9 in the primary diagnosis field. Any admission within 90 days of primary admission was considered a 90-day readmission. Readmission etiologies were identified by ICD-9 code in the primary diagnosis field. Co-primary outcomes were 90-day readmission and 90-day mortality. Results We identified 260 614 patients with primary admission PE, 55 659 (21.36%) patients were readmitted within 90 days. Most of them were of old age (age ≥ 65 years: 49.04%) and females (52.78%). Among the etiologies of readmission pulmonary disorders (22.94%) (Including recurrent PE 7.33%), malignancies (8.31%), and bleeding disorders (6.75%) were the most important causes of 90-day readmissions. On multivariate analysis, higher readmission rates and 90 days mortality were seen in patients with heart failure, chronic pulmonary disease, Anemia, malignancy, and with higher Charlson score. Patients with longer length of stay during primary admission and who discharged to short/long-term facility were more likely get readmitted and die in 90 days. Paradoxically, obese patients showed an inverse relationship with co-primary outcomes. Conclusions Older female patients were more likely to have a pulmonary embolism. High-risk groups such as heart failure, chronic pulmonary disease, anemia, and malignancy need to be given extra attention to prevent worse outcomes.

Objective: To determine the rate and predictors of palliative care referral (PCR) in hospitalized patients with acute heart failure (AHF). Introduction: The PCR is commonly utilized in terminal conditions such as metastatic cancers. There is no data on trends and predictors from large-scale registry of general population regarding PCR in patients with AHF. Methods: For this retrospective study, data were obtained from National Inpatient Sample Database from 2010 to 2014. We used International Classification of Diseases, Ninth Revision diagnosis codes to identify cases with a principle diagnosis of AHF. These patients were divided into 2 groups: (1) PCR, (2) no PCR groups. We performed multivariate analysis to identify predictors of PCRs, as well as reported PCR trends from 2010 to 2014. Results: From the database, out of 37 312 324 hospitalizations, 621 947 unweighted cases with primary diagnosis of AHF were selected for further analysis. About 2.8% received PCR. From 2010 to 2014, there was an uptrend from 2.0% to 3.6% for PCR. Metastatic cancer, ventilator-dependent respiratory failure, and cardiogenic shock were strongly associated with PCR. Those who underwent percutaneous coronary intervention and African American or other races were negative predictors for PCR. In the PCR group, 31.4% of patients died during hospitalization. Conclusion: Palliative care referrals were made in a very small proportion of patients with AHF. We observed steady rise in the PCR utilization. Chronic conditions, advancing age, and high-risk patients were major predictors of PCR.

Left ventricular assist devices (LVADs) have emerged as an attractive option in patients with advance heart failure. Nationwide readmission database 2013 to 2014 was utilized to identify LVAD recipients using ICD-9 procedure code 37.66. The primary outcome was 90-day readmission. Readmission causes were identified using ICD-9 codes in primary diagnosis field. The secondary outcomes were LVAD associated with hospital complications. Hierarchic 2-level logistic models were used to evaluate study outcomes. We identified 4,693 LVAD recipients (mean age 57 years, 76.2% males). Of which 53.9% were readmitted in first 90 days of discharge. Cardiac causes (33.3%), bleeding (21.3%), and infections (12.4%) were leading etiologies of 90-day readmissions. Significant predictors (odds ratio, 95% confidence interval, p value) of readmission were disposition to nursing facilities (1.33, 1.09 to 1.63, p = 0.01) and longer length of stay (1.01, 1.00 to 1.01, p

Peripartum cardiomyopathy (PPCM) is a pregnancy-associated cause of heart failure. Given the significant impact of heart failure on healthcare, we sought to identify etiologies and predictive factors for readmission in PPCM. We queried the 2013 to 2014 National Readmissions Database to identify patients admitted with a diagnosis of PPCM. Patients who were readmitted within 30 days were evaluated to identify etiologies and predictors of readmission. We identified 6,977 index admissions with PPCM. Of the 6,880 (98.6%) patients who survived the index hospitalization, 30-day readmission rate was 13%. Seventy-six percent of readmitted patients were admitted once, and the other 24% were readmitted at least twice within 30 days of discharge. Length of stay was ≥8 days (adjusted odds ratio [aOR] 2.80, 95% confidence interval [CI] 2.08 to 3.77), multiparity (aOR 2.07, 95% CI 1.09 to 3.92), coronary artery disease (aOR 2.28, 95% CI 1.42 to 3.67), and long-term anticoagulation use (aOR 2.51, 95% CI 1.73 to 3.64) were independently associated with increased risk of 30-day readmission. Among the readmissions, 48% were due to cardiac causes, where PPCM and related complications (24%) were the most common cardiac cause followed by heart failure (16%). The annual cost of stay for index admissions was $64.2 million (average cost for index admission was $16,892). The annual charges attributed to readmission within 30 days were ≈$9 million. Cardiac etiologies were the most common cause for 30-day readmissions in PPCM patients, with a readmission rate of 13%. Long-term anticoagulation use, multiparity, coronary disease and length of stay predicted higher 30-day readmission.

INTRODUCTION: Elevation in cardiac troponins is common with sepsis despite unclear impact. HYPOTHESIS: We investigated whether demand ischemia(DI) resulted in variable outcomes compared to acute myocardial infarction(AMI) and those with neither DI nor AMI in sepsis. METHODS: We analyzed data from the 2011‐2014 National Inpatient Sample among patients admitted for sepsis. We compared outcomes among patients with DI i) versus AMI and ii) versus neither DI nor AMI, respectively using propensity matching. Primary study end‐point was in‐hospital mortality. RESULTS: We studied 666,154 patients, with mean age 63.7 years and 50.8% female participants. Overall, 94.7% of the included patients had neither DI nor AMI, 4.4% had AMI and 0.83% had DI. Between 2011 and 2014, we observed an increasing trend for DI but decreasing trend for AMI in sepsis. Patients with DI experienced higher rates of atrial and ventricular arrhythmias, had longer length of stay and higher cost of stay compared to patients with neither demand ischemia nor AMI. Despite higher hospital mortality at baseline with DI, post‐propensity matching revealed no difference in hospital mortality between patients with DI and those with neither (26.9% vs. 27.0%, adjusted odds ratio 0.99, 95% confidence intervals 0.92‐1.07;p=0.87). Patients with DI experienced lower hospital mortality compared to those with AMI pre (28.5% vs. 48.3%;p

BACKGROUND Catheter ablation is widely accepted intervention for atrial fibrillation (AF) refractory to antiarrhythmic drugs, but limited data are available regarding contemporary trends in major complications and in-hospital mortality due to the procedure. This study was aimed at exploring the temporal trends of in-hospital mortality, major complications, and impact of hospital volume on frequency of AF ablation-related outcomes. METHODS The Nationwide Inpatient Sample database was utilized to identify the AF patients treated with catheter ablation. In-hospital death and common complications including vascular access complications, cardiac perforation and/or tamponade, pneumothorax, stroke, and transient ischemic attack, were identified using International Classification of Disease (ICD-9-CM) codes. RESULT In-hospital mortality rate of 0.15% and overall complication rate of 5.46% were noted among AF ablation recipients (n = 50,969). Significant increase in complications during study period (relative increase 56.37%, P-trend

Background Understanding the factors associated with early readmissions following atrial flutter (AFL) ablation is critical to reduce the cost and improving the quality of life in AFL patients. Method The study cohort was derived from the national readmission database 2013–2014. International Classification of Diseases, 9th Revision (ICD-9-CM) diagnosis code 427.32 and procedure code 37.34 were used to identify AFL and catheter ablation, respectively. The primary and secondary outcomes were 90-day readmission and complications including in-hospital mortality. Cox proportional regression and hierarchical logistic regression were used to generate the predictors of primary and secondary outcomes respectively. Readmission causes were identified by ICD-9-CM code in primary diagnosis field of readmissions. Result Readmission rate of 18.19% (n = 1,010 with 1,396 readmissions) was noted among AFL patients (n = 5552). Common etiologies for readmission were heart failure (12.23%), atrial fibrillation (11.13%), atrial flutter (8.93%), respiratory complications (9.42%), infections (7.4%), bleeding (7.39%, including GI bleed–4.09% and intracranial bleed–0.79%) and stroke/TIA (1.89%). Multivariate predictors of 90-day readmission (hazard ratio, 95% confidence interval, P value) were preexisting heart failure (1.30, 1.13–1.49, P < 0.001), chronic pulmonary disease (1.37, 1.18–1.58, P < 0.001), anemia (1.23, 1.02–1.49, P = 0.035), malignancy (1.87, 1.40–2.49, P < 0.001), weekend admission compared to weekday admission (1.23, 1.02–1.47, P = 0.029), and length of stay (LOS) ≥5 days (1.39, 1.16–1.65, P < 0.001). Note that 50% of readmissions happened within 30 days of discharge. Conclusion Cardiac etiologies remain the most common reason for the readmission after AFL ablation. Identifying high risk patients, careful discharge planning, and close follow-up postdischarge can potentially reduce readmission rates in AFL ablation patients.

Background CHADS 2 and CHA 2 DS 2 -VASc scores are widely used for thromboembolic risk assessment in Atrial Fibrillation(AF) cohort, however further utilization to predict outcomes is understudied. Method HCUP's National Readmission Data(NRD) 2013 was queried for AF admissions using ICD-9-CM code 427.31 in principal diagnosis field. Patients with mitral valve disease or repair/or replacement were excluded to estimate population with non-valvular AF only. CHADS 2 and CHA 2 DS 2 -VASc were calculated for each patient. Hierarchical two-level logistic and linear models were used to evaluate study outcomes in terms of mortality, 30 or 90-day readmissions, length of stay(LOS) and cost. Result Of 116,450 principal non-valvular AF admissions(50.2% female and 43.1% age≥75years) 29,179 patients were readmitted, with total 40,959 readmissions. Higher CHADS 2 and CHA 2 DS 2 -VASc score were associated with increased mortality from 0.4% for CHADS 2 of 0 to 3.2% for score of 6 and from 0.2% for CHA 2 DS 2 -VASc of 0 to 3.2% for score≥8. LOS increased from 2.20days for CHADS 2 of 0 to 5.08days for score of 6, while cost increased from $7888 to $11,151. 30-day readmission rate increased from 8.9% for CHADS 2 of 0 to 26.0% for score of 6, and 90-day readmission rate increased from 15.2% to 39%. CHA 2 DS 2 -VASc scoring similarly demonstrated a trend towards increasing readmission rate, LOS and cost for higher scores. Also, similar results were seen in hierarchical modeling with increment of CHADS 2 and CHA 2 DS 2 -VASc scores. Conclusion CHADS 2 and CHA 2 DS 2 -VASc scores can be used as quick surrogate markers for predicting outcomes beyond thromboembolic risk. Physician familiarity with these systems makes them easy to use bedside clinical tools to improve outcomes and resource allocation.

An estimated half of all heart failure (HF) populations has been categorized to have diastolic HF (DHF), but sparse data are available describing etiologies and predictors of 30-day readmission in DHF population. The study cohort was derived from the National Readmission Database 2013 to 2014, a subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. DHF was identified using International Classification of Diseases, 9th Revision code 428.3x in primary diagnosis field. Readmission etiologies were identified by International Classification of Diseases, 9th Revision code in primary diagnosis field. The primary outcome was 30-day readmission. Hierarchical multivariable logistic regression was used to adjust for confounders. In total, 192,394 patients with DHF were included, of which 40,927 (21.27%) patients were readmitted with total readmissions of 47,056 within 30 days. Predictors of increased readmissions were age (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.001 to 1.0003, p0.001), diabetes (OR 1.08, 95% CI 1.05 to 1.11, p0.001), chronic pulmonary disease (OR 1.18, 95% CI 1.15 to 1.21, p0.001), renal failure (OR 1.21, 95% CI 1.17 to 1.25, p0.001), peripheral vascular disease (OR 1.05, 95% CI 1.02 to 1.09, p = 0.002), anemia (OR 1.12, 95% CI 1.10 to 1.15, p0.001), transfusion during index admission (OR 1.18, 95% CI 1.13 to 1.23, p0.001), discharge to the facility (OR 1.13, 95% CI 1.10 to 1.16, p0.001), length of stay2 days, and Charlson comorbidity index ≥3, whereas obesity (OR 0.82, 95% CI 0.80 to 0.85, p0.001), elective admissions (OR 0.88, 95% CI 0.83 to 0.94, p0.001), and non-Medicare/Medicaid primary payer were predictors of lower readmission rate. Most common etiologies of readmission were acute HF (28.01%), infections (9.54%), acute kidney injury (5.35%), acute respiratory failure (4.86%), and pneumonia (3.92%). In conclusion, DHF population with higher comorbidity burden, longer length of stay, and discharge to facility were prone to increased readmissions, with most common etiologies of readmission being HF, infections, and acute kidney injury.

Because of improvements in TAVR design, early discharge (ED) (

Gitelman's syndrome, or congenital hypokalemic hypomagnesemic hypocalciuria with metabolic alkalosis, is widely described as a benign or milder variant of Barter's syndrome. It presents with variable clinical symptoms including tetanic episodes, muscle cramps, muscle paralysis, tingling numbness, perioral tingling sensation, salt craving and nocturia. This milder salt wasting syndrome can rarely cause significant ventricular arrhythmias and even death. Here, we report a case of 59 year old male who presented with history of recurrent syncope. He was found to have recurrent polymorphic VT with persistent hypokalemia and hypomagnesia. After extensive metabolic investigation, he was diagnosed as a case of Gitelman's syndrome. We report this case because of this rare malignant presentation of a seemingly benign syndrome.

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, 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.

BACKGROUND Recent trials have shown benefits with percutaneous coronary intervention (PCI) on nonculprit coronary vessels in select ST-elevation myocardial infarction (STEMI) patients with multivessel coronary artery disease (CAD). However, readmission rates and causes in this high-risk group are unknown. Objective of this study is to explore pattern, causes and factors associated with 30-day readmission after multivessel PCI in STEMI patients. METHODS AND RESULTS Nationwide Readmissions Data (NRD) between 2010 and 2014 was utilized to identify multivessel PCI cases in STEMI patients using appropriate ICD-9 codes. We evaluated 30-day readmission rate and factors associated with 30-day readmission. Hierarchical logistic regression model was used to identify factors associated with 30-day readmission. Among 22,257 STEMI patients who survived to discharge after multivessel PCI, 2,302 (10.3%) were readmitted within 30-days. Subsequent unresolved/aggravated cardiac issues most commonly triggered readmission (62.66%). Among cardiac causes, heart failure and ischemic heart disease were most frequent etiologies. Advancing age (OR: 1.073, 95%CI: 1.026 to 1.122, p = .002), female sex (OR: 1.36, 95%CI: 1.23 to 1.50, p

Peripheral arterial disease (PAD) is a common atherosclerotic disease approximately affecting 8.5 million Americans above age 40 and is associated with significant functional impairment, morbidity and mortality from both cardiovascular and non-cardiovascular causes. PAD has increasing prevalence in females contrary to previous findings. Compared to men, women with PAD are more asymptomatic or have atypical symptoms. Women with PAD have increased quality of life impairment, increased risk of depression and increased cardiovascular mortality. The intent of this review is to provide an update on gender differences in PAD that can help in timely diagnosis and appropriate management through intensive cardiovascular risk factor modification, exercise program and guideline directed therapy to improve cardiovascular outcomes.

Objective The aim of our study was to study the impact of glycoprotein IIb/IIIa inhibitors (GPI) on in-hospital outcomes. Background There is paucity of data regarding the impact of GPI on the outcomes following peripheral endovascular interventions. Methods The study cohort was derived from Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) database between the years 2006 and 2011. Peripheral endovascular interventions and GPI utilization were identified using appropriate ICD-9 Diagnostic and procedural codes. Two-level hierarchical multivariate mixed models were created. The study outcomes were: primary (in-hospital mortality and amputation studied separately) and secondary (composite of in-hospital mortality and postprocedural complications). Hospitalization costs were also assessed. Results GPI utilization (OR, 95% CI, P-value) was independently predictive of lower amputation rates (0.36, 0.27–0.49