Dataset Information

Clustered Emergency Room Visits Following an Acute Heart Failure Admission: A Population-Based Study.

ABSTRACT:

Background

While it is well known that heart failure patients presenting to the emergency room (ER) have high short-term mortality after discharge, the outcomes of patients with heart failure with repeated ER visits within a short time are not known. In this study, we aimed to determine whether clustering is associated with an increased risk of death.

Methods and results

This is a retrospective, population-based cohort study with an accrual window between 2003 and 2014 and maximal follow-up up to and including March 31, 2015. Data were obtained from administrative databases from Ontario, Canada. Clustering was defined a priori as 3 or more ER visits within a 6-month period. The main outcome of interest was time to death conditional on 6-month survival. A total of 72 810 patients with an index hospitalization for acute heart failure were evaluated. ER clustering was observed in 15.1% of the population. Increased burden of comorbidities, primary rural residence, and lack of primary care provider were identified as factors associated with ER clustering. Age- and sex-adjusted mortality for clustered patients was higher than for nonclustered (hazard ratio [HR] 1.51; 95% confidence interval, 1.47-1.55, P<0.0001). Adjusted mortality risk was also higher for patients with clustered ER visits (HR 1.42; 95% confidence interval 1.38-1.46; P<0.0001).

Conclusions

Clustering, as defined by 3 or more ER visits for any reason within 6 months of index heart failure hospitalization reflects a novel risk factor associated with increased mortality. Future research into the strategies to better manage complex patients with heart failure with recurrent ER visits are warranted.

SUBMITTER: Duero Posada JG

PROVIDER: S-EPMC5907582 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Publications

Clustered Emergency Room Visits Following an Acute Heart Failure Admission: A Population-Based Study.

Duero Posada Juan G JG Moayedi Yasbanoo Y Zhou Limei L McDonald Michael M Ross Heather J HJ Lee Douglas S DS Bhatia R Sacha RS

Journal of the American Heart Association 20180327 7

<h4>Background</h4>While it is well known that heart failure patients presenting to the emergency room (ER) have high short-term mortality after discharge, the outcomes of patients with heart failure with repeated ER visits within a short time are not known. In this study, we aimed to determine whether clustering is associated with an increased risk of death.<h4>Methods and results</h4>This is a retrospective, population-based cohort study with an accrual window between 2003 and 2014 and maximal ...[more]

PMID: 29588312

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Project description:AimsAcute heart failure (AHF) leads to a drastic increase in mortality and rehospitalization. The aim of the study was to identify prognostic variables in a real-life population of AHF patients admitted to the emergency department with acute shortness of breath.Methods and resultsWe evaluated potential predictors of mortality in 728 consecutive patients admitted to the emergency department with AHF. Possible predictors of all-cause and cardiovascular (CV) mortality were investigated by Cox and Fine and Gray models at multivariable analysis. Among the 728 patients, 256 died during the entire follow-up, 142 of these due to CV cause. The 1 year mortality rate was 20%, with the highest risk of death during the index hospitalization (with 8% estimate in-hospital mortality at 30 days). A higher risk of events during the index hospitalization was more evident for the CV deaths, for which we found a cumulative 1 year incidence of 12% with a cumulative incidence in the first 30 days of hospitalization of about 5%. At multivariable analysis, age (P < 0.001), New York Heart Association (NYHA) class IV vs. I-II-III (P = 0.001), systolic blood pressure (P < 0.001), non-cardiac co-morbidities (≥3 vs. 0, P = 0.05), oxygen saturation (P = 0.03), serum creatinine (P < 0.001), and left ventricular ejection fraction (LVEF) (40-49% vs. <40%, P = 0.004; ≥50% vs. <40%, P = 0.003) were independent predictors of all-cause mortality during the entire follow-up. Age (P = 0.03), systolic blood pressure (P = 0.01), oxygen saturation (P = 0.03), serum creatinine (P = 0.02), and LVEF (40-49% vs. <40%, P = 0.03; ≥50% vs. <40%, P = 0.004) were independent predictors of CV mortality during the entire follow-up. NYHA class IV vs. I-II-III (P < 0.001), serum creatinine (P = 0.01), and LVEF (40-49% vs. <40%, P = 0.02; ≥50% vs. <40%, P < 0.001) remained independent predictors for in-hospital death, while only serum creatinine (P = 0.04), LVEF (40-49% vs. <40%: 0.32, P = 0.04; ≥50% vs. <40%, P < 0.001), and NYHA class vs. I-II-III (P = 0.02) remained predictors for in-hospital CV mortality.ConclusionsIn this real-life cohort of patients with AHF, the results showed a similar mortality rate comparing with other analysis and with the most important registries. Age, NYHA class IV, systolic blood pressure, creatinine levels, sodium levels, and ejection fraction were independent predictors of 1 year mortality, while LVEF <40% was the only predictor of both all-cause mortality and CV mortality.

Project description:Background No studies have explored the association between newly diagnosed infections after admission and clinical outcomes in patients with acute heart failure. We aimed to explore the factors associated with newly diagnosed infection after admission for acute heart failure, and its association with in-hospital and post-discharge clinical outcomes. Methods and Results Among 4056 patients enrolled in the Kyoto Congestive Heart Failure registry, 2399 patients without any obvious infectious disease upon admission were analyzed. The major in-hospital and post-discharge outcome measures were all-cause deaths. There were 215 patients (9.0%) with newly diagnosed infections during hospitalization, and 2184 patients (91.0%) without infection during hospitalization. The factors independently associated with a newly diagnosed infection were age ≥80 years, acute coronary syndrome, non-ambulatory status, hyponatremia, anemia, intubation, and patients who were not on loop diuretics as outpatients. The newly diagnosed infection group was associated with a higher incidence of in-hospital mortality (16.3% and 3.2%, P<0.001) and excess adjusted risk of in-hospital mortality (odds ratio, 6.07 [95% CI, 3.61-10.19], P<0.001) compared with the non-infection group. The newly diagnosed infection group was also associated with a higher 1-year incidence of post-discharge mortality (19.3% in the newly diagnosed infection group and 13.6% in the non-infection group, P<0.001) and excess adjusted risk of post-discharge mortality (hazard ratio, 1.49 [95% CI, 1.08-2.07], P=0.02) compared with the non-infection group. Conclusions Elderly patients with multiple comorbidities were associated with the development of newly diagnosed infections after admission for acute heart failure. Newly diagnosed infections after admission were associated with higher in-hospital and post-discharge mortality in patients with acute heart failure. Registration URL: https://clinicaltrials.gov; Unique identifier: NCT02334891.

Dataset Information

Clustered Emergency Room Visits Following an Acute Heart Failure Admission: A Population-Based Study.

Background

Methods and results

Conclusions

Publications

Clustered Emergency Room Visits Following an Acute Heart Failure Admission: A Population-Based Study.

Similar Datasets

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