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Updated: May 30, 2025

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
A new simple chronic heart failure prognostic index based on five general parameters
Helena Hipólito-Reis1, Carolina Guimarães1, Catarina Elias1
1Internal Medicine Department, Centro Hospitalar e Universitário São João, Portugal.
Insights
A new index combining B-type natriuretic peptide (BNP) with age, sodium, hemoglobin, and kidney function improves heart failure (HF) mortality prediction. Patients with a high BASIC index score face nearly triple the risk of death.
Area of Science:
- Cardiology
- Clinical Medicine
- Biomarker Research
Background:
- Prognostic prediction in heart failure (HF) is complex, with no single marker proving consistently effective.
- Existing methods often lack comprehensive predictive power for patient outcomes.
Purpose of the Study:
- To develop and validate a novel prognostic index for heart failure (HF) using readily available clinical parameters.
- To assess if this new index, the BASIC index, improves risk stratification compared to B-type natriuretic peptide (BNP) alone.
Main Methods:
- Retrospective analysis of 1065 adult outpatients with chronic systolic dysfunction heart failure.
- Calculation of the BASIC index: (BNP * age^2) / (serum sodium * hemoglobin * eGFR).
- Evaluation of the index's association with all-cause mortality using receiver operator characteristic (ROC) curves and Cox regression analysis.
Main Results:
- The BASIC index demonstrated superior prognostic performance (AUC 0.73) compared to BNP alone (AUC 0.69) in predicting all-cause mortality.
- A BASIC index cut-off of 9.3 identified patients with significantly higher mortality risk.
- Patients with a BASIC index > 9.3 had a multivariate-adjusted hazard ratio of 2.70 for all-cause mortality.
Conclusions:
- The BASIC index, incorporating BNP, age, serum sodium, hemoglobin, and estimated glomerular filtration rate (eGFR), significantly enhances prognostic prediction in heart failure.
- A BASIC index above 9.3 identifies patients with a nearly 3-fold increased risk of death, offering a valuable tool for risk stratification.
Background:
Prognostic prediction in heart failure (HF) is challenging and no single marker has proven effective. We propose an index based on B-type natriuretic peptide (BNP) and four widely available parameters.
Methods:
We retrospectively analyzed adult outpatients with chronic HF with systolic dysfunction followed from January 2012 to December 2020. The new proposed index was calculated based on 5 parameters measured at the index visit. BASIC index = (BNP*(age)2) / (serum sodium*hemoglobin*estimated glomerular filtration rate). Patients were followed-up until January 2023; the primary endpoint was all-cause mortality. A receiver operator curve was used to assess the association of the index with outcome; a cut-off was chosen based on the curve. We used a Cox-regression analysis to determine the prognostic value of the index. Adjustments were made considering established prognostic predictors.
Results:
We studied 1065 patients. Mean age was 71 years, 65.8 % were male, 45.3 % had ischemic HF and 47.2 % had severe systolic dysfunction. During a 47-months median follow-up, 545 patients died (51.2 %). Median BASIC index: 11.7 (3.5-33.7). The area under the curve was 0.73 (0.70-0.76) vs 0.69 (0.66-0.72) for BNP, p < 0.001. The best cut-off value was 9.3; sensitivity = 71.4 %, specificity = 62.3 %, positive predictive value = 66.5 and negative predictive value = 67.5 %. Patients with a BASIC index above 9.3 had a multivariate-adjusted HR of all-cause mortality = 2.70 (2.20-3.22).
Conclusions:
The incorporation of age, hemoglobin, serum sodium, glomerular filtration rate and BNP in an index significantly improves prognostic prediction when compared to BNP alone. Patients with a BASIC index above 9.3 have an almost 3-fold higher death-risk.
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