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Burden and Timing of Hospitalizations in Heart Failure: A Community Study.

ABSTRACT: To study the temporal distribution and causes of hospitalizations after heart failure (HF) diagnosis.Hospitalizations were studied in 1972 Olmsted County, Minnesota, residents with incident HF from January 1, 2000, to December 31, 2011. All hospitalizations were examined for the 2 years following incident HF, and each was categorized as due to HF, other cardiovascular causes, or noncardiovascular causes. Negative binomial regression examined associations between time periods (0-30, 31-182, 183-365, and 366-730 days after diagnosis) and hospitalizations.During the 2 years after diagnosis, 3495 hospitalizations were observed among 1336 of the 1972 patients with HF. The age- and sex-adjusted rates of hospitalizations were highest in the first 30 days after diagnosis (3.33 per person-year vs 1.33, 1.07, and 1.00 per person-year for 31-182 days, 183-365 days, and 366-730 days, respectively). The rates of hospitalizations were similar across sex, presentation of HF (inpatient or outpatient), and type of HF (preserved or reduced ejection fraction). Patients diagnosed as inpatients who had long hospital stays (>5 days) experienced more than a 30% increased risk of rehospitalization within 30 days of dismissal. Importantly, most hospitalizations (2222 of 3495 [63.6%]) were due to noncardiovascular causes, and a minority (440 of 3495 [12.6%]) were due to HF. The rates of noncardiovascular hospitalizations were higher than those for HF or other cardiovascular hospitalizations across all follow-up for all time periods after HF.Patients with HF experience high rates of hospitalizations, particularly within the first 30 days, and mostly for noncardiovascular causes. To reduce hospitalizations in patients with HF, an integrated approach focusing on comorbidities is required.

SUBMITTER: Chamberlain AM

PROVIDER: S-EPMC5341602 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Burden and Timing of Hospitalizations in Heart Failure: A Community Study.

Chamberlain Alanna M AM Dunlay Shannon M SM Gerber Yariv Y Manemann Sheila M SM Jiang Ruoxiang R Weston Susan A SA Roger Véronique L VL

Mayo Clinic proceedings 20170201 2

<h4>Objective</h4>To study the temporal distribution and causes of hospitalizations after heart failure (HF) diagnosis.<h4>Patients and methods</h4>Hospitalizations were studied in 1972 Olmsted County, Minnesota, residents with incident HF from January 1, 2000, to December 31, 2011. All hospitalizations were examined for the 2 years following incident HF, and each was categorized as due to HF, other cardiovascular causes, or noncardiovascular causes. Negative binomial regression examined associa ...[more]

PMID: 28160871

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Project description:BackgroundData on rates of heart failure (HF) hospitalizations, recurrent hospitalizations, and outcomes related to HF hospitalizations in chronic kidney disease (CKD) are limited.ObjectivesThis study examined rates of HF hospitalizations and re-hospitalizations within a large CKD population and evaluated the burden of HF hospitalizations with the risk of subsequent CKD progression and death.MethodsThe prospective CRIC (Chronic Renal Insufficiency Cohort) study measured the estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (ACR) at baseline. The crude rates and rate ratios of HF hospitalizations and 30-day HF re-hospitalizations were calculated using Poisson regression models. Cox regression was used to assess the association of the frequency of HF hospitalizations within the first 2 years of follow-up with risk of subsequent CKD progression and death.ResultsAmong 3,791 participants, the crude rate of HF admissions was 5.8 per 100 person-years (with higher rates of HF with preserved ejection fraction vs. HF with reduced ejection fraction). The adjusted rate of HF was higher with a lower eGFR (vs. eGFR >45 ml/min/1.73 m2); the rate ratios were 1.7 and 2.2 for eGFR 30 to 44 and <30 ml/min/1.73 m2 (vs. >45 ml/min/1.73 m2), respectively. Similarly, the adjusted rates of HF hospitalization were significantly higher in those with higher urine ACR (vs. urine ACR <30 mg/g); the rate ratios were 1.9 and 2.6 for urine ACR 30 to 299 and ≥300 mg/g, respectively. Overall, 20.6% of participants had a subsequent HF re-admission within 30 days. HF hospitalization within 2 years of study entry was associated with greater adjusted risks for CKD progression (1 hospitalization: hazard ratio [HR]: 1.93; 95% confidence interval [CI]: 1.40 to 2.67; 2+ hospitalizations: HR: 2.14; 95% CI: 1.30 to 3.54) and all-cause death (1 hospitalization: HR: 2.20; 95% CI: 1.71 to 2.84; 2+ hospitalizations: HR: 3.06; 95% CI: 2.23 to 4.18).ConclusionsWithin a large U.S. CKD population, the rates of HF hospitalizations and re-hospitalization were high, with even higher rates across categories of lower eGFR and higher urine ACR. Patients with CKD hospitalized with HF had greater risks of CKD progression and death. HF prevention and treatment should be a public health priority to improve CKD outcomes.

Project description:BACKGROUND:Despite advances in pharmacologic therapy and devices, patients with heart failure (HF) continue to have significant rehospitalization rates and risk prediction remains challenging. We sought to explore the value of a multi-biomarker panel [including NT-proBNP, high-sensitivity cardiac troponin T (hs-TnT), and ST2] on top of clinical assessment for long-term prediction of recurrent hospitalizations in HF. METHODS AND RESULTS:NT-proBNP, hs-TnT, and ST2 (suppression of tumorigenicity-2) levels were measured in 891 consecutive ambulatory HF patients. The independent association between the multi-biomarker panel and recurrent hospitalizations was assessed through a multivariable negative binomial regression and expressed as incidence rates ratios. McFadden pseudo-R2 and goodness-of-fit measures were also used. The total number of unplanned hospitalizations [all-cause, cardiovascular (CV)-, and HF-related] were selected as the primary endpoints. At a mean follow-up of 4.2?±?2.1?years, 1623 all-cause hospitalizations in 498 patients (55.9%), 710 CV-related hospitalizations in 331 patients (37.2%), and 444 HF-related hospitalizations in 214 patients (24.1%) were registered. The crude incidence of all-cause, CV-, and HF-related recurrent hospitalizations was significantly higher for patients with the multi-biomarker panel above the cut-point (hs-TnT?>?14?ng/L, NT-proBNP?>?1000?ng/L, and ST2?>?35?ng/mL) (all P?<?0.001). For all-cause, CV-, and HF-related recurrent hospitalizations, the McFadden R2, Akaike information criterion, and Bayesian information criterion supported the superiority of incorporating the multi-biomarker panel into a clinical predictive model. CONCLUSION:A multi-biomarker approach based on NT-proBNP, hs-TnT, and ST2 better identifies HF patients at risk for recurrent hospitalizations as compared to approaches entailing just one or two of these biomarkers. Elucidation of new biophysiological predictors for recurrent hospitalizations may identify patient profiles for focused intervention.

Dataset Information

Burden and Timing of Hospitalizations in Heart Failure: A Community Study.

Publications

Burden and Timing of Hospitalizations in Heart Failure: A Community Study.

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