Key result
Admission ln(BNP) was an independent predictor of in-hospital mortality in acute decompensated heart failure (OR 2.39 per unit increase; 95% CI 1.25-4.59; p=0.009).
Why the study?
Risk stratification at admission for acute decompensated heart failure is challenging with concomitant renal dysfunction, and the prognostic dominance of BNP in prespecified multivariable analyses in these cohorts remains incompletely characterized.
Does admission BNP predict in-hospital mortality in patients with acute decompensated heart failure?
Cohort (n=220)
No
Does admission BNP predict in-hospital mortality in patients with acute decompensated heart failure?
Odds Ratio: 2.39 (95% CI 1.25–4.59)
p-value: p=0.009
Admission BNP is a strong independent predictor of in-hospital mortality in patients with acute decompensated heart failure, though larger studies are needed to validate predictive models for clinical use.
Background: Risk stratification for acute decompensated heart failure (ADHF) at admission remains clinically challenging, particularly in patients with concomitant renal dysfunction. Although B-type natriuretic peptide (BNP) is a well-established biomarker in ADHF, its prognostic dominance in prespecified multivariable analyses of cohorts with frequent cardiorenal dysfunction remains incompletely characterized. Methods: We conducted a single-center retrospective cohort study of 220 index admissions for ADHF. A prespecified multivariable logistic regression model was developed to estimate in-hospital mortality using admission variables, including age, sex, heart failure phenotype, systolic blood pressure, estimated glomerular filtration rate, serum albumin, and log-transformed BNP. Model performance was evaluated using discrimination (AUC), bootstrap optimism correction (200 iterations), calibration assessment, and decision curve analysis, in accordance with the TRIPOD guidelines. Results: In-hospital mortality occurred in 7.7% of patients (n = 17). In multivariable analysis, ln(BNP) was the only variable that reached statistical significance as an independent predictor of in-hospital mortality (OR 2.39 per unit increase; 95% CI 1.25–4.59; p = 0.009), representing the dominant prognostic signal in this dataset. Albumin and eGFR showed consistent but non-significant associations. The exploratory model demonstrated apparent discrimination (AUC 0.81), which decreased to 0.73 after optimism correction. A prespecified simplified model including albumin and ln(BNP) yielded an AUC of 0.77. Conclusions: In this exploratory multivariable analysis, admission BNP emerged as the primary prognostic factor for in-hospital mortality in an ADHF cohort with a high prevalence of renal dysfunction. The small number of outcome events limits confidence in model stability and precludes clinical deployment. These findings are hypothesis-generating and support BNP as the strongest prognostic signal observed in this cohort. External validation in larger cohorts is required before any clinical application.
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AlTaweel et al. (2026) conducted a cohort in Acute Decompensated Heart Failure (n=220). Admission B-type natriuretic peptide (BNP) was evaluated on In-hospital mortality (OR 2.39 per unit increase, 95% CI 1.25-4.59, p=0.009). Admission ln(BNP) was an independent predictor of in-hospital mortality in acute decompensated heart failure (OR 2.39 per unit increase; 95% CI 1.25-4.59; p=0.009).
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