Impact of catheter ablation in patients with atrial flutter and concurrent heart failure.

BACKGROUND: No studies assessed impact of atrial flutter (AFL) ablation on outcomes in patients with AFL and concurrent heart failure (HF). OBJECTIVES: To assess the effect of AFL ablation on mortality and HF readmissions in patients with AFL and HF. METHODS: This retrospective cohort study identified 15,952 patients with AFL and HF from the 2016-17 Nationwide Readmissions Database. The primary outcome was a composite of all-cause mortality and/or HF readmission at 1 year. Secondary outcomes included HF readmission, all-cause mortality, and atrial fibrillation (AF) readmission at 1 year. Propensity score match (1:2) algorithm was used to adjust for confounders. Cox proportional hazard regression was used to generate hazard ratios. RESULTS: Of the 15,952 patients, 9889 had heart failure with reduced ejection fraction (HFrEF) and 6063 had heart failure with preserved ejection fraction (HFpEF). In the matched HFrEF cohort (n = 5421), the primary outcome was significantly lower in patients undergoing ablation (HR 0.72, 95% CI 0.61-0.85, P < .001). HF readmission (HR 0.73, 95% CI 0.61-0.89, P = .001), all-cause mortality (HR 0.62, 95% CI 0.46-0.85, P = .003), and AF readmission (HR 0.63, 95% CI 0.48-0.82, P = .001) were also significantly reduced. In the matched HFpEF cohort (n = 2439), the primary outcome was lower in the group receiving ablation but was not statistically significant (HR 0.80, 95% CI 0.63-1.01, P = .065). CONCLUSION: In patients with AFL and HFrEF, AFL ablation was associated with lower mortality and HF readmissions at 1 year. Patients with AFL and HFpEF did not show a similar significant reduction in the primary outcome.

Transcatheter aortic valve replacement in aortic regurgitation: The U.S. experience.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) can be an effective option for high-risk Aortic Regurgitation (AR) patients. Although international experiences of TAVR for AR are published, U.S. data are limited. This study sought to report the short-term outcomes of TAVR in AR in the U.S. METHODS: Study cohorts were derived from the Nationwide Inpatient Sample (NIS) and Nationwide Readmissions Database (NRD) 2016-17. TAVR and AR were identified using ICD-10-CM-codes. The key outcomes were all-cause mortality, disabling stroke, valvular complications, complete heart block (CHB)/permanent pacemaker placement (PPM), open-heart surgery, acute kidney injury (AKI) requiring dialysis, and vascular complications. Multivariate logistic regression was used to adjust for confounders. RESULTS: 915 patients from the NIS (male-71%, age ≥65-84.2%) and 822 patients from the NRD (male-69.3%, age ≥65-80.5%) underwent TAVR for AR. The median length of stay (LOS) was 4 days for both cohorts. In-hospital mortality was 2.7%, and 30-day mortality was 3.3%. Disabling strokes were noted in 0.6% peri-procedurally and 1.8% at 30-days. Valve-related complications were 18-19% with paravalvular leak (4-7%) being the most common. Approximately 11% of patients developed CHB and/or needed PPM in both cohorts. In NRD, 2.2% of patients required dialysis for AKI, 1.5% developed vascular complications, and 0.6% required open-heart surgery within 30-days post-procedure. Anemia was predictive of increased overall complications and valvular complications, whereas peripheral vascular disease was a predictor of increased valvular complications and CHB/PPM. CONCLUSION: TAVR is a promising option in AR. Further studies are necessary for the expansion of TAVR as the standard treatment in AR.

Catheter Ablation for Atrial Fibrillation in Patients With Concurrent Heart Failure.

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.

Short-term outcomes associated with inpatient ventricular tachycardia catheter ablation.

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.

Burden and trends of arrhythmias in hypertrophic cardiomyopathy and its impact of mortality and resource utilization.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) accounts for significant morbidity and mortality worldwide. Arrhythmias are considered the main cause of mortality, however, there is paucity of data relating to trends of arrhythmia and associated outcomes in HCM patients. METHODS: Nationwide Inpatient Sample from 2003 to 2014 was analyzed. HCM related hospitalizations were identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9-CM) code 425.1 and 425.11 in all diagnosis fields. RESULTS: Overall, there was an increase in number of hospitalizations related to arrhythmias among HCM patients from 7784 in 2003 to 8380 in 2014 (relative increase 10.5%, P < 0.001). The increase was most significant in patients ≥ 80 years and those with higher comorbidity burden. Atrial fibrillation (AF) was the most frequently occurring arrhythmia however atrial flutter (AFL) witnessed the highest rise during the study period. In general, there was a down trend in mortality with the greatest reduction occurring in patients with ventricular fibrillation/flutter (VF/VFL). The mean length of stay was higher if patients had arrhythmia, which led to increased cost of care from $16105 in 2003 to $19310 in 2014 (relative increase 22.9%, P < 0.001). CONCLUSION: There is overall decline in HCM related hospitalizations but rise in hospitalization among HCM patients with arrhythmias. HCM with arrhythmia accounts for significant inpatient mortality coupled with prolonged hospital stay and increased cost of care. However, there is an encouraging downtrend in the mortality most likely because of improved clinical practice, cardiac screening and primary and secondary prevention strategies.

Trends, Predictors, and Outcomes of Temporary Mechanical Circulatory Support for Postcardiac Surgery Cardiogenic Shock.

Postcardiac surgery cardiogenic shock (PCCS) is seen in 2% to 6% of patients who undergo cardiac surgery. There are limited large-scale data on the use of mechanical circulatory support (MCS) in these patients. This study sought to evaluate the in-hospital mortality, trends, and resource utilization for PCCS admissions with and without MCS. A retrospective cohort of PCCS between 2005 and 2014 with and without the use of temporary MCS was identified from the National Inpatient Sample. Admissions for permanent MCS and heart transplant were excluded. Propensity-matching for baseline characteristics was performed. The primary outcome was in-hospital mortality and secondary outcomes included trends in use, hospital costs and lengths of stay. In the period between 2005 and 2014, there were 132,485 admissions with PCCS, with 51.3% requiring MCS. The intra-aortic balloon pump was the predominant device used with a steady increase in other devices. MCS use for more frequent in younger patients, males and those with higher co-morbidity. There was a decrease in MCS use across all demographic categories and hospital characteristics over time. Older age, female sex, previous cardiovascular morbidity and MCS use were independently predictive of higher in-hospital mortality. In 6,830 propensity-matched pairs, PCCS admissions that required MCS use, had higher in-hospital mortality (odds ratio 2.4; p<0.001), higher hospital costs ($98,759 ± 907 vs $81,099 ± 698; p<0.001) but not a longer length of stay compared with those without MCS use. In conclusion, in patients with PCCS, this study noted a steady decrease in MCS use. Use of MCS identified PCCS patients at higher risk for in-hospital mortality and greater resource utilization.

Heart failure: Same-hospital vs. different-hospital readmission outcomes.

BACKGROUND: Heart Failure (HF) is a major driver of the readmissions/penalties in the US. Although extensive literature on rehospitalization attributed to HF, studies to compare outcomes for same-hospital vs. different-hospital readmissions are sparse. METHODS: Nationwide Readmission Database from 2010 to 14 utilized for HF-related hospitalization using appropriate ICD-9-CM diagnostic codes. 30-day readmissions were classified into two groups: same-hospital and different-hospital. A comparative analysis was conducted focusing on: in-hospital mortality, length of stay (LOS) and hospitalization cost. Hierarchical two-level modeling and propensity score matching utilized to adjust confounders. RESULTS: 715,993 HF readmissions were identified, of which 21.3% were readmitted to different-hospital. Elderly, females, patients with higher co-morbidities and higher median household income were less likely to be readmitted to different-hospital. Index hospitalizations in a teaching hospital and/or larger hospital were associated with reduced different-hospital readmissions. Readmissions to the different hospital were associated with higher in-hospital mortality (7.7% vs. 6.6%, p < 0.001), higher resource utilization (LOS:7.5 days vs. 6.1 days, p < 0.001 and Cost: $22,602 vs. $13,740, p < 0.001) after adjusting for propensity score match. Similar results were observed with propensity score matching of multiple high-risk subgroups. CONCLUSION: Resources should be directed towards minimizing different-hospital HF readmissions to improve patient outcomes by identifying the vulnerable subgroup and further tailoring in-hospital and post-discharge care.

Temporary Mechanical Circulatory Support for Refractory Cardiogenic Shock Before Left Ventricular Assist Device Surgery.

Background There are limited data on the role of temporary mechanical circulatory support ( MCS ) devices for cardiogenic shock before left ventricular assist device ( LVAD ) surgery. This study sought to evaluate the trends of use and outcomes of MCS in cardiogenic shock before LVAD surgery. Methods and Results This was a retrospective cohort study from 2005 to 2014 using the National Inpatient Sample (20% stratified sample of US hospitals). This study identified admissions undergoing LVAD surgery with preoperative cardiogenic shock. Admissions for other cardiac surgery and heart transplant were excluded. Temporary MCS was identified using administrative codes. The primary outcome was hospital mortality and secondary outcomes were hospital costs and lengths of stay in admissions with and without MCS use. In this 10-year period, 9753 admissions were identified with 40.6% requiring pre- LVAD MCS . There was a temporal increase in the frequency of cardiogenic shock associated with an increase in non-intra-aortic balloon pump MCS devices. The cohort receiving MCS had greater in-hospital myocardial infarction, ventricular arrhythmias, and use of coronary angiography. On multivariable analysis, older age, myocardial infarction, and need for MCS devices were independently predictive of higher in-hospital mortality. In 696 propensity-matched pairs, use of MCS was predictive of higher in-hospital mortality (odds ratio 1.4 [95% confidence interval 1.1-1.6]; P=0.02) and higher hospital costs, but similar lengths of stay. Conclusions In patients with cardiogenic shock bridged to LVAD therapy, there was a steady increase in preoperative MCS use. Use of MCS identified patients at higher risk for in-hospital mortality and greater resource utilization.

Hospital Complications and Causes of 90-Day Readmissions After Implantation of Left Ventricular Assist Devices.

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 <0.01). Although private insurance (0.75, 0.66 to 0.86, p <0.01), and self-pay (0.58, 0.42 to 0.81, p <0.01) predicted lower readmissions. Cardiac complications (36.3%), major bleeding (29.8%), and postoperative infections (10.4%) were most common LVAD-related complications. In conclusion, high early readmission rate was observed among LVAD recipients with Cardiac complications, bleeding complications, and infections were driving force for major complications and most of readmissions.

Causes and Predictors of Readmission in Patients With Atrial Fibrillation Undergoing Catheter Ablation: A National Population-Based Cohort Study.

BACKGROUND: Reducing readmission after catheter ablation (CA) in atrial fibrillation (AF) is important. METHODS AND RESULTS: We utilized National Readmission Data (NRD) 2010-2014. AF was identified by International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnostic code 427.31 in the primary field, while first CA of AF was identified via ICD-9-procedure code 37.34. Any admission within 30 or 90 days of index admission was considered a readmission. Cox proportional hazard regression was used to adjust for confounders. The primary outcomes were 30- and 90-day readmissions and the secondary outcome was AF recurrence. In total, 1 128 372 patients with AF were identified from January 1, 2010 to September 30, 2014. Of which 37 360 (3.3%) underwent CA. Patients aged ≥65 years and female sex were less likely to receive CA for AF. Overall, 10.9% and 16.5% of CA patients were readmitted within 30 and 90 days post-CA, respectively. Most common causes of readmissions were arrhythmia (AF, atrial flutter), heart failure, pulmonary causes (pneumonia, chronic obstructive pulmonary disease) and bleeding complications (gastrointestinal bleed, intracranial hemorrhage). Patients with diabetes mellitus, heart failure, coronary artery disease (CAD), chronic pulmonary and kidney disease, prior stroke/transient ischemic attack (TIA), female sex, length of stay ≥2 and disposition to the facility were prone to higher 30- and 90-day readmissions post-CA. Predictors of increase in AF recurrence post-CA were female sex, diabetes mellitus, chronic pulmonary disease, and length of stay ≥2. Trends of 90-day readmission and AF recurrence were found to improve over the study period. CONCLUSIONS: We identified several demographic and clinical factors associated with the use of CA in AF, and short-term outcomes of the same, which could potentially help in the patient selection and improve outcomes.

Temporal trends of in-hospital complications associated with catheter ablation of atrial fibrillation in the United States: An update from Nationwide Inpatient Sample database (2011-2014).

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 < 0.001) was observed. Cardiac (2.65%), vascular (1.33%), and neurological (1.05%) complications were most common. On multivariate analysis (odds ratio [OR]; 95% confidence interval [95% CI]; P value), significant predictors of complications were female sex (OR = 1.40; CI = 1.17-1.68; P value < 0.001), high burden of comorbidity as indicated by Charlson Comorbidity Index ≥2 (OR = 2.84; CI = 2.29-3.52; P value < 0.001), and low hospital volume (< 50 procedures). CONCLUSION: Our study noted a decline in AF ablation-related hospitalizations and complications associated with the procedure. These findings largely reflect shifting trends of outpatient performance of the procedure and increasing safety profile due to improved institutional expertise and catheter techniques.

The day of the week and acute heart failure admissions: Relationship with acute myocardial infarction, 30-day readmission rate and in-hospital mortality.

BACKGROUND: In-hospital care may be constrained during the weekend due to lesser resources. Impact on outcomes of weekend versus weekday care in congestive heart failure (HF) needs further study. METHODS: Admissions with a primary diagnosis of HF using ICD-9CM codes were studied. 22,287 HF-admissions from Einstein Medical Center (2003-2013) and 2,248,482 HF-admissions from the 2002-2012 Nationwide Inpatient Sample (NIS) were analyzed separately. Primary outcomes were 30-day HF-readmission and in-hospital mortality. Logistic regression models were used to evaluate outcomes. RESULTS: Weekends experienced lower rates of admission and discharge. Mondays experienced the highest admission rate and Fridays experienced the highest discharge rate. Friday was independently associated with highest 30-day HF-readmission rates (Adjusted OR 1.12, CI 1.01-1.23; p=0.02) in addition to risk factors such as African-American race, hypertension, diabetes, hyperlipidemia, end-stage renal disease and coronary artery disease. Within the NIS sample, 85,479 in-hospital deaths (3.8%) were recorded. Compared to weekdays, patients admitted over the weekend had greater comorbidities, higher incidence of acute myocardial infarction (AMI) (15.8% vs. 16.8%; p<0.01), higher Charlson-comorbidity index and underwent less procedures such as echocardiography, right heart catheterization, coronary angiography, coronary revascularization or mechanical circulatory support. Weekend HF admission predicted higher in-hospital mortality (aOR 1.07, 95%CI 1.05-1.08; p<0.01) on multivariate analysis. This relationship was applicable for teaching and non-teaching hospitals. CONCLUSION: Friday was associated with the highest discharge and 30-day HF-readmission rate. Weekend HF admissions experienced more AMI, had greater comorbidities, received less cardiac procedures and predicted higher in-hospital mortality. Higher weekend mortality may be related to the greater degree of severity of illness among admitted patients.

Comparison of In-Hospital Outcomes and Readmission Rates in Acute Pulmonary Embolism Between Systemic and Catheter-Directed Thrombolysis (from the National Readmission Database).

There are sparse comparative data on in-hospital outcomes and readmission rates in patients with acute pulmonary embolism (PE) who receive systemic thrombolytics versus catheter-directed thrombolysis (CDT). The study cohort was derived from the National Readmission Database 2013 to 2014, subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. Systemic and CDT were identified using appropriate International Classification of Diseases, 9th Revision, Clinical Modification codes. The co-primary outcomes were in-hospital mortality and 30-day readmissions and secondary outcome was combined in-hospital mortality + gastrointestinal bleed + intracranial hemorrhage. We used propensity score match analysis without replacement using Greedy's algorithm to adjust for possible confounders. We identified a total of 4,426 patients (3,107: systemic thrombolysis and 1,319: CDT) with acute PE who were treated with thrombolysis. In our 2:1 propensity score algorithm, in-hospital mortality was lower in the CDT group (6.12%) versus systemic thrombolytics (14.94%) (odds ratio 0.37, 95% confidence interval 0.28 to 0.49, p <0.001). There was also a lower composite secondary outcome (in-hospital mortality + gastrointestinal bleed + intracranial hemorrhage) in patients who received CDT (8.42%) versus those who received systemic thrombolytics (18.13%) (odds ratio 0.41, 95% confidence interval 0.33 to 0.53, p <0.001). Thirty-day readmission was lower in patients with CDT group (7.65%) compared with systemic thrombolytics (10.58%, p = 0.009). In conclusion, in-hospital mortality, as well as bleeding during primary admission was significantly lower with CDT compared with systemic thrombolytics for patients with acute PE. There was also significant decrease in rate of readmissions among patients receiving CDT compared with systemic thrombolytics.

Atrial fibrillation: Utility of CHADS2 and CHA2DS2-VASc scores as predictors of readmission, mortality and resource utilization.

BACKGROUND: CHADS2 and CHA2DS2-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. CHADS2 and CHA2DS2-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 CHADS2 and CHA2DS2-VASc score were associated with increased mortality from 0.4% for CHADS2 of 0 to 3.2% for score of 6 and from 0.2% for CHA2DS2-VASc of 0 to 3.2% for score≥8. LOS increased from 2.20days for CHADS2 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 CHADS2 of 0 to 26.0% for score of 6, and 90-day readmission rate increased from 15.2% to 39%. CHA2DS2-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 CHADS2 and CHA2DS2-VASc scores. CONCLUSION: CHADS2 and CHA2DS2-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.

Short-term outcomes of atrial flutter ablation.

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.

Etiologies, Trends, and Predictors of 30-Day Readmissions in Patients With Diastolic Heart Failure.

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, p <0.001), diabetes (OR 1.08, 95% CI 1.05 to 1.11, p <0.001), chronic pulmonary disease (OR 1.18, 95% CI 1.15 to 1.21, p <0.001), renal failure (OR 1.21, 95% CI 1.17 to 1.25, p <0.001), 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, p <0.001), transfusion during index admission (OR 1.18, 95% CI 1.13 to 1.23, p <0.001), discharge to the facility (OR 1.13, 95% CI 1.10 to 1.16, p <0.001), length of stay >2 days, and Charlson comorbidity index ≥3, whereas obesity (OR 0.82, 95% CI 0.80 to 0.85, p <0.001), elective admissions (OR 0.88, 95% CI 0.83 to 0.94, p <0.001), 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.

Etiologies, Trends, and Predictors of 30-Day Readmission in Patients With Heart Failure.

Heart failure (HF) is the most common discharge diagnosis across the United States, and these patients are particularly vulnerable to readmissions, increasing attention to potential ways to address the problem. The study cohort was derived from the Healthcare Cost and Utilization Project's National Readmission Data 2013, sponsored by the Agency for Healthcare Research and Quality. HF was identified using appropriate International Classification of Diseases, Ninth Revision, Clinical Modification codes. Readmission was defined as a subsequent hospital admission within 30 days after discharge day of index admission. Readmission causes were identified using International Classification of Diseases, Ninth Revision, codes in primary diagnosis filed. The primary outcome was 30-day readmission. Hierarchical 2-level logistic models were used to evaluate study outcomes. From a total 301,892 principal admissions (73.4% age ≥65 years and 50.6% men), 55,857 (18.5%) patients were readmitted with a total of 64,264 readmissions during the study year. Among the etiologies of readmission, cardiac causes (49.8%) were most common (HF being most common followed by coronary artery disease and arrhythmias), whereas pulmonary causes were responsible for 13.1% and renal causes for 8.9% of the readmissions. Significant predictors of increased 30-day readmission included diabetes (odds ratio, 95% confidence interval, p value: 1.06, 1.03 to 1.08, p <0.001), chronic lung disease (1.13, 1.11 to 1.16, p <0.001), renal failure/electrolyte imbalance (1.12, 1.10 to 1.15, p <0.001), discharge to facilities (1.07, 1.04 to 1.09, p <0.001), lengthier hospital stay, and transfusion during index admission. In conclusion, readmission after a hospitalization for HF is common. Although it may be necessary to readmit some patients, the striking rate of readmission demands efforts to further clarify the determinants of readmission and develop strategies in terms of quality of care and care transitions to prevent this adverse outcome.

A Review of Hypertension Management in Atrial Fibrillation.

Atrial fibrillation (AF) is one of the commonest arrhythmias in clinical practice and has major healthcare and economic implications. It is a growing epidemic with prevalence all set to double to 12 million by 2050. After adjusting for other associated conditions, hypertension confers a 1.5- and 1.4-fold risk of developing AF, for men and women respectively. Furthermore, in patients with AF, the presence of hypertension has a cumulative effect on the risk of stroke. Growing evidence suggests reversal or attenuation of various structural and functional changes predisposing to AF with the use of antihypertensive medications. Randomized trials have shown major reduction in the risk of stroke and heart failure with blood pressure reduction. However, such trials are lacking in AF patients specifically. The Joint National Committee-8 guidelines have not addressed the threshold or goal BP for patients with known AF. Furthermore, "J-shaped" or "U-shaped" curves have been noted during hypertension management in patients with AF with published data demonstrating worse outcomes in patients with strict BP control to <110/60 mmhg similar to coronary artery disease. In this review, we outline the available literature on management of hypertension in patients with AF as well as the role of individual anti-hypertensive medications in reducing the incidence of AF Fig. 1.

Etiologies and Predictors of 30-Day Readmission and In-Hospital Mortality During Primary and Readmission After Transcatheter Aortic Valve Implantation.

There are sparse data on the etiologies and predictors of readmission after transcatheter aortic valve implantation (TAVI). The study cohort was derived from the National Readmission Data 2013, a subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. TAVI was identified using appropriate International Classification of Diseases, Ninth Revision, Clinical Modification codes. The coprimary outcomes were 30-day readmissions and in-hospital mortality during primary admission and readmission. Hierarchical 2-level logistic models were used to evaluate study outcomes. Our analysis included 5,702 (weighted n = 12,703) TAVI procedures. About 1,215 patients were readmitted (weighted n = 2,757) within 30 days during the study year. Significant predictors of readmission included transapical access (OR, 95% CI, p value) (1.23, 1.10 to 1.38, <0.01), diabetes (1.18, 1.06 to 1.32, p 0.004), chronic lung disease (1.32, 1.18 to 1.47, <0.01), renal failure (1.43, 1.24 to 1.65, <0.01), patients discharged to facilities (1.28, 1.14 to 1.43, <0.01), and those who had lengthier hospital stays during primary admission (length of stay >10 days: 3.06, 2.22 to 4.22, <0.01). Female gender (1.39, 1.16 to 1.68, <0.01), blood transfusion (1.88, 1.55 to 2.29, <0.01), use of vasopressors (3.63, 2.50 to 5.28, <0.01), hemodynamic support (6.39, 5.20 to 7.85, <0.01) and percutaneous coronary intervention (1.89, 1.30 to 2.74, 0.01) during primary admission were significant predictors of in-hospital mortality. Age and transapical access were significant predictors of in-hospital mortality during readmission. In conclusion, heart failure, pneumonia, and bleeding complications are among important etiologies of readmission in patients after TAVI. Patients who underwent transapical TAVI and those with slower in-hospital recovery and co-morbidities such as chronic lung disease and renal failure are more likely to be readmitted to the hospital.