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.

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.

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.

Impact of Glycoprotein IIb/IIIa Inhibitors Use on Outcomes After Lower Extremity Endovascular Interventions From Nationwide Inpatient Sample (2006-2011).

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, <0.001). There was no significant difference in terms of in-hospital mortality (0.59, 0.31-1.14, P 0.117), although GPI use predicted worse secondary outcomes (1.23, 1.03-1.47, 0.023). Following propensity matching, the amputation rate was lower (3.2% vs. 8%, P < 0.001), while hospitalization costs were higher in the cohort that received GPI ($21,091 ± 404 vs. 19,407 ± 133, P < 0.001). CONCLUSIONS: Multivariate analysis revealed GPI use in peripheral endovascular interventions to be suggestive of an increase in composite end-point of in-hospital mortality and postprocedural complications, no impact on in-hospital mortality alone, significantly lower rate of amputation, and increase in hospitalization costs. © 2016 Wiley Periodicals, Inc.

Coronary Atherectomy in the United States (from a Nationwide Inpatient Sample).

Contemporary real-world data on clinical outcomes after utilization of coronary atherectomy are sparse. The study cohort was derived from Healthcare Cost and Utilization Project Nationwide Inpatient Sample database from year 2012. Percutaneous coronary interventions including atherectomy were identified using appropriate International Classification of Diseases, 9th Revision diagnostic and procedural codes. Two-level hierarchical multivariate mixed models were created. The primary outcome was a composite of in-hospital mortality and periprocedural complications; the secondary outcome was in-hospital mortality. Hospitalization costs were also assessed. A total of 107,131 procedures were identified in 2012. Multivariate analysis revealed that atherectomy utilization was independently predictive of greater primary composite outcome of in-hospital mortality and complications (odds ratio 1.34, 95% confidence interval 1.22 to 1.47, p <0.001) but was not associated with any significant difference in terms of in-hospital mortality alone (odds ratio 1.22, 95% confidence interval 0.99 to 1.52, p 0.063). In the propensity-matched cohort, atherectomy utilization was again associated with a higher rate of complications (12.88% vs 10.99%, p = 0.001), in-hospital mortality +a ny complication (13.69% vs 11.91%, p = 0.003) with a nonsignificant difference in terms of in-hospital mortality alone (3.45% vs 2.88%, p = 0.063) and higher hospitalization costs ($25,341 ± 353 vs $21,984 ± 87, p <0.001). Atherectomy utilization during percutaneous coronary intervention is associated with a higher rate of postprocedural complications without any significant impact on in-hospital mortality.

Variability in utilization of drug eluting stents in United States: Insights from nationwide inpatient sample.

OBJECTIVES: We studied the trends and predictors of drug eluting stent (DES) utilization from 2006 to 2011 to further expound the inter-hospital variability in their utilization. BACKGROUND: We queried the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample (NIS) between 2006 and 2011 using ICD-9-CM procedure code, 36.06 (bare metal stent) or 36.07 (drug eluting stents) for Percutaneous Coronary Intervention (PCI). Annual hospital volume was calculated using unique identification numbers and divided into quartiles for analysis. METHODS AND RESULTS: We built a hierarchical two level model adjusted for multiple confounding factors, with hospital ID incorporated as random effects in the model. About 665,804 procedures (weighted n = 3,277,884) were analyzed. Safety concerns arising in 2006 reduced utilization DES from 90% of all PCIs performed in 2006 to a nadir of 69% in 2008 followed by increase (76% of all stents in 2009) and plateau (75% in 2011). Significant between-hospital variation was noted in DES utilization irrespective of patient or hospital characteristics. Independent patient level predictors of DES were (OR, 95% CI, P-value) age (0.99, 0.98-0.99, <0.001), female(1.12, 1.09-1.15, <0.001), acute myocardial infarction(0.75, 0.71-0.79, <0.001), shock (0.53, 0.49-0.58, <0.001), Charlson Co-morbidity index (0.81,0.77-0.86, <0.001), private insurance/HMO (1.27, 1.20-1.34, <0.001), and elective admission (1.16, 1.05-1.29, <0.001). Highest quartile hospital (1.64, 1.25-2.16, <0.001) volume was associated with higher DES placement. CONCLUSION: There is significant between-hospital variation in DES utilization and a higher annual hospital volume is associated with higher utilization rate of DES. © 2015 Wiley Periodicals, Inc.

Asthma: Hospitalization Trends and Predictors of In-Hospital Mortality and Hospitalization Costs in the USA (2001-2010).

BACKGROUND: In the last decade, the proportion of people with asthma in the USA grew by nearly 15%, with 479,300 hospitalizations and 1.9 million emergency department visits in 2009 alone. The primary objective of our study was to evaluate in-hospital outcomes in patients admitted with asthma exacerbation in terms of mortality, length of stay (LOS) and hospitalization costs. METHODS: We queried the HCUP's Nationwide Inpatient Sample (NIS) between 2001 and 2010 using the ICD9-CM diagnosis code 493 for asthma (n = 760,418 patients). The NIS represents 20% of all hospitals in the USA. Multivariate logistic regression analysis was used to evaluate predictors of in-hospital mortality. LOS and hospitalization costs were also analyzed. RESULTS: The overall LOS was 3.9 days and as high as 8.3 days in patients requiring mechanical ventilation. LOS has decreased in recent years, though it continues to be higher than in 2001. The hospitalization cost increased steadily over the study period. The overall in-hospital mortality was 1% and as high as 9.8% in patients requiring mechanical ventilation. Multivariate predictors of longer LOS, higher hospitalization costs and in-hospital mortality included increasing age and hospitalizations during the winter months. Private insurance was predictive of lower hospitalization costs and LOS as well as lower in-hospital mortality. CONCLUSION: Asthma continues to account for significant in-hospital mortality and resource utilization, especially in mechanically ventilated patients. Age, admissions during winter months and the type of insurance are independent predictors of in-hospital outcomes.

Comparison of Inhospital Outcomes and Hospitalization Costs of Peripheral Angioplasty and Endovascular Stenting.

The comparative data for angioplasty and stenting for treatment of peripheral arterial disease are largely limited to technical factors such as patency rates with sparse data on clinical outcomes like mortality, postprocedural complications, and amputation. The study cohort was derived from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample database from 2006 to 2011. Peripheral endovascular interventions were identified using appropriate International Classification of Diseases, Ninth Revision (ICD-9) Diagnostic and procedural codes. Two-level hierarchical multivariate mixed models were created. The primary outcome includes inhospital mortality, and secondary outcome was a composite of inhospital mortality and postprocedural complications. Amputation was a separate outcome. Hospitalization costs were also assessed. Endovascular stenting (odds ratio, 95% confidence interval, p value) was independently predictive of lower composite end point of inhospital mortality and postprocedural complications compared with angioplasty alone (0.96, 0.91 to 0.99, 0.025) and lower amputation rates (0.56, 0.53 to 0.60, <0.001) with no significant difference in terms of inhospital mortality alone. Multivariate analysis also revealed stenting to be predictive of higher hospitalization costs ($1,516, 95% confidence interval 1,082 to 1,950, p <0.001) compared with angioplasty. In conclusion, endovascular stenting is associated with a lower rate of postprocedural complications, lower amputation rates, and only minimal increase in hospitalization costs compared with angioplasty alone.

Impact of Hospital Volume on Outcomes of Lower Extremity Endovascular Interventions (Insights from the Nationwide Inpatient Sample [2006 to 2011]).

Our primary objective was to study postprocedural outcomes and hospitalization costs after peripheral endovascular interventions and the multivariate predictors affecting the outcomes with emphasis on hospital volume. The study cohort was derived from Healthcare Cost and Utilization Project Nationwide Inpatient Sample database (2006 to 2011). Peripheral endovascular interventions were identified using appropriate International Classification of Diseases, Ninth Revision diagnostic and procedural codes. Annual institutional volumes were calculated using unique identification numbers and then divided into quartiles. Two-level hierarchical multivariate mixed models were created. The primary outcome was inhospital mortality; secondary outcome was a composite of inhospital mortality and postprocedural complications. Amputation rates and hospitalization costs were also assessed. Multivariate analysis (odds ratio, 95% confidence interval, p value) revealed age (1.46, 1.37 to 1.55, p <0.001), female gender (1.28, 1.12 to 1.46, p <0.001), baseline co-morbidity status as depicted by a greater Charlson co-morbidity index score (≥2: 4.32, 3.45 to 5.40, p <0.001), emergent or urgent admissions(2.48, 2.14 to 2.88, p <0.001), and weekend admissions (1.53, 1.26 to 1.86, p <0.001) to be significant predictors of primary outcome. An increasing hospital volume quartile was independently predictive of improved primary (0.65, 0.52 to 0.82, p <0.001 for the fourth quartile) and secondary (0.85, 0.73 to 0.97, 0.02 for the fourth quartile) outcomes and lower amputation rates (0.52, 0.45 to 0.61, p <0.001). A significant reduction hospitalization costs ($-3,889, -5,318 to -2,459, p <0.001) was also seen in high volume centers. In conclusion, a greater hospital procedural volume is associated with superior outcomes after peripheral endovascular interventions in terms of inhospital mortality, complications, and hospitalization costs.

Trends of Hospitalizations in the United States from 2000 to 2012 of Patients >60 Years With Aortic Valve Disease.

In recent years, there has been an increased emphasis on the diagnosis and treatment of valvular heart disease and, in particular, aortic stenosis. This has been driven in part by the development of innovative therapeutic options and by an aging patient population. We hypothesized an increase in the number of hospitalizations and the economic burden associated with aortic valve disease (AVD). Using Nationwide Inpatient Sample from 2000 to 2012, AVD-related hospitalizations were identified using International Classification of Diseases, Ninth Revision, Clinical Modification, code 424.1, as the principal discharge diagnosis. Overall AVD hospitalizations increased by 59% from 2000 to 2012. This increase was most significant in patients >80 years and those with higher burden of co-morbidities. The most frequent coexisting conditions were hypertension, heart failure, renal failure, anemia, and diabetes. Overall inhospital mortality of patients hospitalized for AVD was 3.8%, which significantly decreased from 4.5% in 2000 to 3.5% in 2012 (p <0.001). The largest decrease in mortality was seen in the subgroup of patients who had heart failure (62% reduction), higher burden of co-morbidities (58% reduction), and who were >80 years (53% reduction). There was a substantial increase in the cost of hospitalization in the last decade from $31,909 to $38,172 (p <0.001). The total annual cost for AVD hospitalization in the United States increased from $1.3 billion in 2001 to $2.1 billion in 2011 and is expected to increase to nearly 3 billion by 2020. The last decade has witnessed a significant increase in hospitalizations for AVD in the United States. The associated decrease in inhospital mortality and increase in the cost of hospitalization have considerably increased the economic burden on the public health system.

Comparison of inhospital mortality, length of hospitalization, costs, and vascular complications of percutaneous coronary interventions guided by ultrasound versus angiography.

Despite the valuable role of intravascular ultrasound (IVUS) guidance in percutaneous coronary interventions (PCIs), its impact on clinical outcomes remains debatable. The aim of the present study was to compare the outcomes of PCIs guided by IVUS versus angiography in the contemporary era on inhospital outcomes in an unrestricted large, nationwide patient population. Data were obtained from the Nationwide Inpatient Sample from 2008 to 2011. Hierarchical mixed-effects logistic regression models were used for categorical dependent variables like inhospital mortality, and hierarchical mixed-effects linear regression models were used for continuous dependent variables like length of hospital stay and cost of hospitalization. A total of 401,571 PCIs were identified, of which 377,096 were angiography guided and 24,475 (weighted n = 119,102) used IVUS. In a multivariate model, significant predictors of higher mortality were increasing age, female gender, higher baseline co-morbidity burden, presence of acute myocardial infarction, shock, weekend and emergent admission, or occurrence of any complication during hospitalization. Significant predictors of reduced mortality were the use of IVUS guidance (odds ratio 0.65, 95% confidence interval 0.52 to 0.83; p <0.001) for PCI and higher hospital volumes (third and fourth quartiles). The use of IVUS was also associated with reduced inhospital mortality in subgroup of patients with acute myocardial infarction and/or shock and those with a higher co-morbidity burden (Charlson's co-morbidity index ≥2). In one of the largest studies on IVUS-guided PCIs in the drug-eluting stent era, we demonstrate that IVUS guidance is associated with reduced inhospital mortality, similar length of hospital stay, and increased cost of care and vascular complications compared with conventional angiography-guided PCIs.