Risk stratification in heart failure decompensation in the community: HEFESTOS score. (22nd November 2021)

• Record Type: Journal Article
• Authors: Verdu‐Rotellar, José‐María; Abellana, Rosa; Vaillant‐Roussel, Helene; Gril Jevsek, Lea; Assenova, Radost; Kasuba Lazic, Djurdjica; Torsza, Peter; Glynn, Liam George; Lingner, Heidrun; Demurtas, Jacopo; Thulesius, Hans; Muñoz, Miguel Angel
• Is Part Of: ESC heart failure. Volume 9:Number 1(2022)
• Page Start: 606
• Page End: 613
• Publication Date: 2021-11-22
• Subjects: Primary care -- Heart failure -- Decompensation -- Risk stratification; Heart failure -- Periodicals; 616.129005
• DOI: 10.1002/ehf2.13707
• Languages: English
• ISSNs: 2055-5822

Abstract

Abstract: 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.