Explore the vast range of titles available.

AbstractObjectiveTo assess the absolute treatment effects of intravascular imaging guided versus angiography guided percutaneous coronary intervention in patients with coronary artery disease, considering their baseline risk.DesignSystematic review and meta-analysis.Data sourcesPubMed/Medline, Embase, and Cochrane Library databases up to 31 August 2023.Study selectionRandomized controlled trials comparing intravascular imaging (intravascular ultrasonography or optical coherence tomography) guided versus coronary angiography guided percutaneous coronary intervention in adults with coronary artery disease.Main outcome measuresRandom effect meta-analysis and GRADE (grading of recommendations, assessment, development, and evaluation) were used to assess certainty of evidence. Data included rate ratios and absolute risks per 1000 people for cardiac death, myocardial infarction, stent thrombosis, target vessel revascularization, and target lesion revascularization. Absolute risk differences were estimated using SYNTAX risk categories for baseline risks at five years, assuming constant rate ratios across different cardiovascular risk thresholds.ResultsIn 20 randomized controlled trials (n=11 698), intravascular imaging guided percutaneous coronary intervention was associated with a reduced risk of cardiac death (rate ratio 0.53, 95% confidence interval 0.39 to 0.72), myocardial infarction (0.81, 0.68 to 0.97), stent thrombosis (0.44, 0.27 to 0.72), target vessel revascularization (0.74, 0.61 to 0.89), and target lesion revascularization (0.71, 0.59 to 0.86) but not all cause death (0.81, 0.64 to 1.02). Using SYNTAX risk categories, high certainty evidence showed that from low risk to high risk, intravascular imaging was likely associated with 23 to 64 fewer cardiac deaths, 15 to 19 fewer myocardial infarctions, 9 to 13 fewer stent thrombosis events, 28 to 38 fewer target vessel revascularization events, and 35 to 48 fewer target lesion revascularization events per 1000 people.ConclusionsCompared with coronary angiography guided percutaneous coronary intervention, intravascular imaging guided percutaneous coronary intervention was associated with significantly reduced cardiac death and cardiovascular outcomes in patients with coronary artery disease. The estimated absolute effects of intravascular imaging guided percutaneous coronary intervention showed a proportional relation with baseline risk, driven by the severity and complexity of coronary artery disease.Systematic review registrationPROSPERO CRD42023433568.

Ventricular septal myomectomy (VSM) is the primary modality for left ventricular outflow tract gradient reduction in patients with obstructive hypertrophic cardiomyopathy with refractory symptoms. Comprehensive postprocedural data for VSM from a large multicenter registry are sparse. The primary objective of this study was to evaluate postprocedural mortality, complications, length of stay (LOS), and cost of hospitalization after VSM and to further appraise the multivariate predictors of these outcomes. The Healthcare Cost and Utilization Project's Nationwide Inpatient Sample was queried from 1998 through 2010 using International Classification of Diseases, Ninth Revision, procedure codes 37.33 for VSM and 425.1 for hypertrophic cardiomyopathy. The severity of co-morbidities was defined using the Charlson co-morbidity index. Hierarchical mixed-effects models were generated to identify independent multivariate predictors of in-hospital mortality, procedural complications, LOS, and cost of hospitalization. The overall mortality was 5.9%. Almost 9% (8.7%) of patients had postprocedural complete heart block requiring pacemakers. Increasing Charlson co-morbidity index was associated with a higher rate of complications and mortality (odds ratio 2.41, 95% confidence interval 1.17 to 4.98, p = 0.02). The mean cost of hospitalization was $41,715 ± $1,611, while the average LOS was 8.89 ± 0.35 days. Occurrence of any postoperative complication was associated with increased cost of hospitalization (+$33,870, p <0.001) and LOS (+6.08 days, p <0.001). In conclusion, the postoperative mortality rate for VSM was 5.9%; cardiac complications were most common, specifically complete heart block. Age and increasing severity of co-morbidities were predictive of poorer outcomes, while a higher burden of postoperative complications was associated with a higher cost of hospitalization and LOS. •Higher postoperative mortality was found after VSM than reported in recent studies.•Age was predictive of higher postoperative mortality and complications.•Higher burden of co-morbidities predicted higher postoperative mortality and complications.•More postoperative complications were associated with longer LOS.

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.

The impact of coronavirus disease, 2019 (COVID-19), has been profound. Though COVID-19 primarily affects the respiratory system, it has also been associated with a wide range of cardiovascular (CV) manifestations portending extremely poor prognosis. The principal hypothesis for CV involvement is through direct myocardial infection and systemic inflammation. We conducted a systematic review of the current literature to provide a foundation for understanding the CV manifestations and outcomes of COVID-19. PubMed and EMBASE databases were electronically searched from the inception of the databases through 27 April 2020. A second literature review was conducted to include major trials and guidelines that were published after the initial search but before submission. The inclusion criteria for studies to be eligible were case reports, case series, and observation studies reporting CV outcomes among patients with COVID-19 infection. This review of the current COVID-19 disease and CV outcomes literature revealed a myriad of CV manifestations with potential avenues for treatment and prevention. Future studies are required to understand on a more mechanistic level the effect of COVID-19 on the myocardium and thus provide avenues to improve mortality and morbidity.

High-risk surgical patients undergoing transcatheter aortic valve implantation (TAVI) represent an emerging population, which may benefit from short-term use of mechanical circulatory support (MCS) devices. The aim of this study was to determine the practice and inhospital outcomes of MCS utilization in patients undergoing TAVI. We analyzed data from Nationwide Inpatient Sample (2011 and 2012) using the International Classification of Diseases, Ninth Revision, Clinical Modification procedure codes. A total of 1,794 TAVI procedures (375 hospitals in the United States) were identified of which 190 (10.6%) used an MCS device (MCS group) and 1,604 (89.4%) did not (non-MCS group). The use of MCS devices with TAVI was associated with significant increase in the inhospital mortality (14.9% vs 3.5%, p <0.01). The mean length (11.8 ± 0.8 vs 8.1 ± 0.2 days, p <0.01) and cost ($68,997 ± 3,656 vs $55,878 ± 653, p = 0.03) of hospitalization were also significantly greater in the MCS group. Ventricular fibrillation arrest, transapical access for TAVI, and cardiogenic shock were the most significant predictors of MCS use during TAVI. In the multivariate model, use of any MCS device was found to be an independent predictor of increased mortality (odds ratio 3.5, 95% confidence interval 2.6 to 4.6, p <0.0001) and complications (odds ratio 3.3, 95% confidence interval 2.8 to 3.9, p <0.0001). The propensity score–matched analysis also showed a similar result. In conclusion, the unacceptably high rates of mortality and complications coupled with a significant increase in the length and cost of hospitalization should raise concerns about utility of MCS devices during TAVI in this prohibitive surgical risk population.

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.

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 + any 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.

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.

Transcatheter aortic valve implantation (TAVI) is associated with a significant learning curve. There is paucity of data regarding the effect of hospital volume on outcomes after TAVI. This is a cross-sectional study based on Healthcare Cost and Utilization Project's Nationwide Inpatient Sample database of 2012. Subjects were identified by International Classification of Diseases, Ninth Revision, Clinical Modification procedure codes, 35.05 (Trans-femoral/Trans-aortic Replacement of Aortic Valve) and 35.06 (Trans-apical Replacement of Aortic Valve). Annual hospital TAVI volumes were calculated using unique identification numbers and then divided into quartiles. Multivariate logistic regression models were created. The primary outcome was inhospital mortality; secondary outcome was a composite of inhospital mortality and periprocedural complications. Length of stay (LOS) and cost of hospitalization were assessed. The study included 1,481 TAVIs (weighted n = 7,405). Overall inhospital mortality rate was 5.1%, postprocedural complication rate was 43.4%, median LOS was 6 days, and median cost of hospitalization was $51,975. Inhospital mortality rates decreased with increasing hospital TAVI volume with a rate of 6.4% for lowest volume hospitals (first quartile), 5.9% (second quartile), 5.2% (third quartile), and 2.8% for the highest volume TAVI hospitals (fourth quartile). Complication rates were significantly higher in hospitals with the lowest volume quartile (48.5%) compared to hospitals in the second (44.2%), third (39.7%), and fourth (41.5%) quartiles (p <0.001). Increasing hospital volume was independently predictive of shorter LOS and lower hospitalization costs. In conclusion, higher annual hospital volumes are significantly predictive of reduced postprocedural mortality, complications, shorter LOS, and lower hospitalization costs after TAVI.