Background: Serum albumin is a well-known marker of nutritional and inflammatory status and has been associated with adverse outcomes in heart failure (HF). However, its predictive value for length of hospital-stay and short-term mortality in elderly HF patients remains underexplored.
Objectives: To investigate the association between serum albumin levels at hospital admission and length of stay, as well as post-admission mortality, in a cohort of elderly patients hospitalized for HF.
Methods: We conducted a retrospective analysis of 56 consecutive patients aged ≥65 years admitted for HF. Comorbidities were assessed using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), and inflammatory status was measured via C-reactive protein (CRP). Negative binomial regression with robust confidence intervals was employed to evaluate the relationship between serum albumin and length of hospital-stay, adjusting for age, comorbidity burden, and CRP. Cox proportional hazards models were used to assess mortality at 6 months and 1 year, adjusting for age, comorbidity, CRP, and HF subtype, with Kaplan–Meier curves illustrating unadjusted survival differences according to albumin levels and HF subtype.
Results: Mean age was 78.6 ± 7.5 years, with 69.6% female patients. Mean serum albumin at admission was 3.58 ± 0.60 g/dL, and mean length of stay was 14.8 ± 10.1 days. Each 1 g/dL increase in albumin was associated with a 32% reduction in length of stay (adjusted IRR = 0.68; 95% CI: 0.54–0.85;
p = 0.01), independently by age, inflammatory status and comorbidity. Serum albumin was independently associated with reduced risk of death at 6 months (HR 0.30; 95% CI: 0.11–0.82;
p = 0.019) and 1 year (HR = 0.41; 95% CI: 0.17–0.96;
p = 0.041).
Conclusions: Serum albumin at hospital admission independently predicts length of stay and short-term mortality in elderly patients with HF. Albumin measurement, simple, cheap and universally available biomarker, is helpful for early risk stratification and may guide clinical management in this vulnerable population.
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