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Risk stratification in heart failure decompensation in the community: HEFESTOS score
Inst Catala Salut, Spain;Univ Autonoma Barcelona, Spain.
Univ Barcelona, Spain.
Clermont Auvergne Univ, France.
Univ Maribor, Slovenia.
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2022 (English)In: ESC Heart Failure, E-ISSN 2055-5822, Vol. 9, no 1, p. 606-613Article in journal (Refereed) Published
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages
Abstract [en]

Aims Because evidence regarding risk stratification predicting prognosis of patients with heart failure (HF) decompensation attended in primary care is lacking, we developed and externally validated a model to forecast death/hospitalization during the first 30 days after an episode of decompensation. The predictive model is based on variables easily obtained in primary care settings. Methods and results HEFESTOS is a multinational study consisting of a derivation cohort of HF patients recruited in 14 primary healthcare centres in Barcelona and a validation cohort from primary healthcare in 9 other European countries. The derivation and validation cohorts included 561 and 250 patients, respectively. Percentages of women in the derivation and validation cohorts were 56.3% and 47.6% (P = 0.026), respectively. Mean age was 82.2 years (SD 8.03) in the derivation cohort, and 79.3 years (SD 10.3) in the validation one (P = 0.001). HF with preserved ejection fraction represented 72.1% in the derivation cohort and 58.8% in the validation one (P = 0.004). Mortality/hospitalization during the first 30 days after a decompensation episode was 30.5% and 26% (P = 0.225) for the derivation and validation cohorts, respectively. Multivariable logistic regression models were performed to develop a score of risk. The identified predictors were worsening of dyspnoea [odds ratio (OR): 2.5; P = 0.001], orthopnoea (OR: 2.16; P = 0.01), paroxysmal nocturnal dyspnoea (OR: 2.25; P = 0.01), crackles (OR: 2.35; P = 0.01), New York Heart Association functional class III/IV (OR: 2.11; P = 0.001), oxygen saturation <= 90% (OR: 4.98; P < 0.001), heart rate > 100 b.p.m. (OR: 2.72; P = 0.002), and previous hospitalization due to HF (OR: 2.45; P < 0.001). The model showed an area under the curve (AUC) of 0.807, 95% confidence interval (CI): [0.770; 0.845] in the derivation cohort and AUC 0.73, 95% CI: [0.660; 0.808] in the validation one. No significant differences between both cohorts were observed (P = 0.08). Regarding probability of hospitalization/death, three risk groups were defined: low <5%, medium 5-20%, and high >20%. Outcome incidence was 2.7% for the low-risk group, 12.8% for medium risk, and 46.2% for high risk in the derivation cohort, and 9.1%, 12.9%, and 39.6% in the validation one. Conclusions The HEFESTOS score, based on variables easily accessible in a community setting and validated in an external European cohort, properly predicted the risk of death/hospitalization during the first 30 days after an HF decompensation episode.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022. Vol. 9, no 1, p. 606-613
Keywords [en]
Primary care, Heart failure, Decompensation, Risk stratification
National Category
Cardiology and Cardiovascular Disease
Research subject
Natural Science, Medicine
Identifiers
URN: urn:nbn:se:lnu:diva-108495DOI: 10.1002/ehf2.13707ISI: 000721471700001PubMedID: 34811953Scopus ID: 2-s2.0-85119699800Local ID: 2021OAI: oai:DiVA.org:lnu-108495DiVA, id: diva2:1618359
Available from: 2021-12-09 Created: 2021-12-09 Last updated: 2025-02-10Bibliographically approved

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Thulesius, Hans

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