Dataset Information

Validity of the Seattle Heart Failure Model after heart failure hospitalization.

ABSTRACT:

Aims

Heart failure hospitalization is a sentinel event associated with increased mortality risk. Whether long-term heart failure risk models such as the Seattle Heart Failure Model (SHFM) accurately assess risk in the post-hospital setting is unknown.

Methods and results

The SHFM was applied to a cohort of 2242 consecutive patients (50% women; mean age 73) on discharge after acute heart failure hospitalization and analysed for the primary endpoint of all-cause mortality. Model discrimination and calibration were assessed. Direct patient-level comparison between our study cohort and the original SHFM cohorts was also performed to confirm and quantify the degree and extent of increased mortality risk attributable to post-hospital status. The SHFM demonstrated good overall risk discrimination (area under the receiver operating characteristic curve 0.704) and was well calibrated in patients <65 years old. The SHFM significantly underestimated mortality risk in patients ?65 years old post-hospitalization. Direct patient-level comparison revealed a stepwise increase in adjusted mortality risk attributable to post-hospital status for each advancing age group ?65 years old. This heightened mortality risk showed a diminishing trend over 18 months after discharge.

Conclusions

The SHFM accurately predicts mortality risk in younger patients after acute heart failure hospitalization. However, patients ?65 years old had increased adjusted mortality risk for up to 18 months after discharge compared with ambulatory heart failure patients, a pattern consistent with the well-described post-hospital syndrome.

SUBMITTER: Li S

PROVIDER: S-EPMC6487734 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Validity of the Seattle Heart Failure Model after heart failure hospitalization.

Li Song S Marcus Patrick P Núñez Julio J Núñez Eduardo E Sanchis Juan J Levy Wayne C WC

ESC heart failure 20190301 3

<h4>Aims</h4>Heart failure hospitalization is a sentinel event associated with increased mortality risk. Whether long-term heart failure risk models such as the Seattle Heart Failure Model (SHFM) accurately assess risk in the post-hospital setting is unknown.<h4>Methods and results</h4>The SHFM was applied to a cohort of 2242 consecutive patients (50% women; mean age 73) on discharge after acute heart failure hospitalization and analysed for the primary endpoint of all-cause mortality. Model dis ...[more]

PMID: 30825268

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Project description:ObjectivesThis study sought to describe the patterns of heart failure (HF)-exacerbating medications used among older adults hospitalized for HF and to examine determinants of HF-exacerbating medication use.BackgroundHF-exacerbating medications can potentially contribute to adverse outcomes and could represent an important target for future strategies to improve post-hospitalization outcomes.MethodsMedicare beneficiaries ≥65 years of age with an adjudicated HF hospitalization between 2003 and 2014 were derived from the geographically diverse REGARDS (Reasons for Geographic and Racial Difference in Stroke) cohort study. Major HF-exacerbating medications, defined as those listed on the 2016 American Heart Association Scientific Statement listing medications that can precipitate or induce HF, were examined. Patterns of prescribing medications at hospital admission and at discharge were examined, as well as changes that occurred between admission and discharge; and a multivariable logistic regression analysis was conducted to identify determinants of harmful prescribing practices following HF hospitalization (defined as either the continuation of an HF-exacerbating medications or an increase in the number of HF-exacerbating medications between hospital admission and discharge).ResultsAmong 558 unique individuals, 18% experienced a decrease in the number of HF-exacerbating medications between admission and discharge, 19% remained at the same number, and 12% experienced an increase. Multivariable logistic regression analysis revealed that diabetes (odds ratio [OR]: 1.80; 95% confidence interval [CI]: 1.18 to 2.75]) and small hospital size (OR: 1.93; 95% CI: 1.18 to 3.16) were the strongest, independently associated determinants of harmful prescribing practices.ConclusionsHF-exacerbating medication regimens are often continued or started following an HF hospitalization. These findings highlight an ongoing need to develop strategies to improve safe prescribing practices in this vulnerable population.

Project description:Background In patients with heart failure (HF), malnutrition and dietary sodium excess are common and may worsen outcomes. No prior studies have provided low-sodium, nutritionally complete meals following HF hospitalization. Methods and Results The GOURMET-HF study (Geriatric Out-of-Hospital Randomized Meal Trial in Heart Failure) randomized patients discharged from HF hospitalization to 4 weeks of home-delivered sodium-restricted Dietary Approaches to Stop Hypertension meals (DASH/SRD; 1500 mg sodium/d) versus usual care. The primary outcome was the between-group change in the Kansas City Cardiomyopathy Questionnaire summary score from discharge to 4 weeks postdischarge. Additional outcomes included changes in the Kansas City Cardiomyopathy Questionnaire clinical summary score and cardiac biomarkers. All patients were followed 12 weeks for death/all-cause readmission and potential diet-related adverse events (symptomatic hypotension, hyperkalemia, acute kidney injury). Sixty-six patients were randomized 1:1 at discharge to DASH/SRD versus usual care (age, 71±8 years; 30% female; ejection fraction, 39±18%). The Kansas City Cardiomyopathy Questionnaire summary score increased similarly between groups (DASH/SRD 46±23-59±20 versus usual care 43±19-53±24; P=0.38), but the Kansas City Cardiomyopathy Questionnaire clinical summary score increase tended to be greater in DASH/SRD participants (47±22-65±19 versus 45±20-55±26; P=0.053). Potentially diet-related adverse events were uncommon; 30-day HF readmissions (11% versus 27%; P=0.06) and days rehospitalized within that timeframe (17 versus 55; P=0.055) trended lower in DASH/SRD participants. Conclusions Home-delivered DASH/SRD after HF hospitalization appeared safe in selected patients and had directionally favorable effects on HF clinical status and 30-day readmissions. Larger studies are warranted to clarify the effects of postdischarge nutritional support in patients with HF. Clinical Trial Registration URL: https://www.clinicaltrials.gov . Unique identifier: NCT02148679.

Dataset Information

Validity of the Seattle Heart Failure Model after heart failure hospitalization.

Aims

Methods and results

Conclusions

Publications

Validity of the Seattle Heart Failure Model after heart failure hospitalization.

Similar Datasets

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