Dataset Information

Association Between Current and Future Annual Hospital Percutaneous Coronary Intervention Mortality Rates.

ABSTRACT: Importance:Multiple states publicly report a hospital's risk-adjusted mortality rate for percutaneous coronary intervention (PCI) as a quality measure. However, whether reported annual PCI mortality is associated with a hospital's future performance is unclear. Objective:To evaluate the association between reported risk-adjusted hospital PCI-related mortality and a hospital's future PCI-related mortality. Design, Setting, and Participants:This study used data from the New York Percutaneous Intervention Reporting System from January 1, 1998, to December 31, 2016, to assess hospitals that perform PCI. Exposures:Public-reported, risk-adjusted, 30-day mortality after PCI. Main Outcomes and Measures:The primary analysis evaluated the association between a hospital's reported risk-adjusted PCI-related mortality and future PCI-related mortality. The correlation between a hospital's observed to expected (O/E) PCI-related mortality rates each year and future O/E mortality ratios was assessed. Multivariable linear regression was used to examine the association between index year O/E mortality and O/E mortality in subsequent years while adjusting for PCI volume and patient severity. Results:This study included 67 New York hospitals and 960 hospital-years. Hospitals with low PCI-related mortality (O/E mortality ratio, ?1) and high mortality (O/E mortality ratio, >1) had inverse associations between their O/E mortality ratio in the index year and the subsequent change in the ratio (hospitals with low mortality, r?=?-0.45; hospitals with high mortality, r?=?-0.60). Little of the variation in risk-adjusted mortality was explained by prior performance. An increase in the O/E mortality ratio from 1.0 to 2.0 in the index year was associated with a higher O/E mortality ratio of only 0.15 (95% CI, 0.02-0.27) in the following year. Conclusions and Relevance:At hospitals with high or low PCI-related mortality rates, the rates largely regressed to the mean the following year. A hospital's risk-adjusted mortality rate was poorly associated with its future mortality. The annual hospital PCI-related mortality may not be a reliable factor associated with hospital quality to consider in a practice change or when helping patients select high-quality hospitals.

SUBMITTER: Sandhu AT

PROVIDER: S-EPMC6751759 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Association Between Current and Future Annual Hospital Percutaneous Coronary Intervention Mortality Rates.

Sandhu Alexander T AT Kohsaka Shun S Bhattacharya Jay J Fearon William F WF Harrington Robert A RA Heidenreich Paul A PA

JAMA cardiology 20191101 11

<h4>Importance</h4>Multiple states publicly report a hospital's risk-adjusted mortality rate for percutaneous coronary intervention (PCI) as a quality measure. However, whether reported annual PCI mortality is associated with a hospital's future performance is unclear.<h4>Objective</h4>To evaluate the association between reported risk-adjusted hospital PCI-related mortality and a hospital's future PCI-related mortality.<h4>Design, setting, and participants</h4>This study used data from the New Y ...[more]

PMID: 31532454

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Project description:Large-scale registries have demonstrated that in-hospital mortality after percutaneous coronary intervention (PCI) varies widely across institutions. However, whether this variation is related to major procedural complications (e.g., bleeding) is unclear. In this study, institutional variation in in-hospital mortality and its association with PCI-related bleeding complications were investigated. We analyzed 388,866 procedures at 718 hospitals performed from 2017 to 2018, using data from a nationwide PCI registry in Japan. Hospitals were stratified into quintiles according to risk-adjusted in-hospital mortality (very low, low, medium, high, and very high). Incidence of bleeding complications, defined as procedure-related bleeding events that required a blood transfusion, and in-hospital mortality in patients who developed bleeding complications were calculated for each quintile. Overall, 4,048 (1.04%) in-hospital deaths and 1,535 (0.39%) bleeding complications occurred. Among patients with bleeding complications, 270 (17.6%) died during hospitalization. In-hospital mortality ranged from 0.22% to 2.46% in very low to very high mortality hospitals. The rate of bleeding complications varied modestly from 0.27% to 0.57% (odds ratio, 1.95; 95% confidence interval, 1.58-2.39). However, mortality after bleeding complications markedly increased by quintile and was 6-fold higher in very high mortality hospitals than very low mortality hospitals (29.0% vs. 4.8%; odds ratio, 12.2; 95% confidence interval, 6.90-21.7). In conclusion, institutional variation in in-hospital mortality after PCI was associated with procedure-related bleeding complications, and this variation was largely driven by differences in mortality after bleeding complications rather than difference in their incidence. These findings underscore the importance of efforts toward reducing not only bleeding complications but also, even more importantly, subsequent mortality once they have occurred.

Project description:ImportanceThe Affordable Care Act has led to US national reductions in hospital 30-day readmission rates for heart failure (HF), acute myocardial infarction (AMI), and pneumonia. Whether readmission reductions have had the unintended consequence of increasing mortality after hospitalization is unknown.ObjectiveTo examine the correlation of paired trends in hospital 30-day readmission rates and hospital 30-day mortality rates after discharge.Design, setting, and participantsRetrospective study of Medicare fee-for-service beneficiaries aged 65 years or older hospitalized with HF, AMI, or pneumonia from January 1, 2008, through December 31, 2014.ExposureThirty-day risk-adjusted readmission rate (RARR).Main outcomes and measuresThirty-day RARRs and 30-day risk-adjusted mortality rates (RAMRs) after discharge were calculated for each condition in each month at each hospital in 2008 through 2014. Monthly trends in each hospital's 30-day RARRs and 30-day RAMRs after discharge were examined for each condition. The weighted Pearson correlation coefficient was calculated for hospitals' paired monthly trends in 30-day RARRs and 30-day RAMRs after discharge for each condition.ResultsIn 2008 through 2014, 2 962 554 hospitalizations for HF, 1 229 939 for AMI, and 2 544 530 for pneumonia were identified at 5016, 4772, and 5057 hospitals, respectively. In January 2008, mean hospital 30-day RARRs and 30-day RAMRs after discharge were 24.6% and 8.4% for HF, 19.3% and 7.6% for AMI, and 18.3% and 8.5% for pneumonia. Hospital 30-day RARRs declined in the aggregate across hospitals from 2008 through 2014; monthly changes in RARRs were -0.053% (95% CI, -0.055% to -0.051%) for HF, -0.044% (95% CI, -0.047% to -0.041%) for AMI, and -0.033% (95% CI, -0.035% to -0.031%) for pneumonia. In contrast, monthly aggregate changes across hospitals in hospital 30-day RAMRs after discharge varied by condition: HF, 0.008% (95% CI, 0.007% to 0.010%); AMI, -0.003% (95% CI, -0.005% to -0.001%); and pneumonia, 0.001% (95% CI, -0.001% to 0.003%). However, correlation coefficients in hospitals' paired monthly changes in 30-day RARRs and 30-day RAMRs after discharge were weakly positive: HF, 0.066 (95% CI, 0.036 to 0.096); AMI, 0.067 (95% CI, 0.027 to 0.106); and pneumonia, 0.108 (95% CI, 0.079 to 0.137). Findings were similar in secondary analyses, including with alternate definitions of hospital mortality.Conclusions and relevanceAmong Medicare fee-for-service beneficiaries hospitalized for heart failure, acute myocardial infarction, or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in hospital 30-day mortality rates after discharge. These findings do not support increasing postdischarge mortality related to reducing hospital readmissions.

Dataset Information

Association Between Current and Future Annual Hospital Percutaneous Coronary Intervention Mortality Rates.

Publications

Association Between Current and Future Annual Hospital Percutaneous Coronary Intervention Mortality Rates.

Similar Datasets

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