A new commentary published in Aging Clinical and Experimental Research argues that a recently proposed risk model for predicting 30-day mortality in older adults with acute heart failure, while promising, has methodological limitations that must be addressed before it can be considered ready for routine clinical use. The piece, published as a Matters Arising article on 15 October 2026, examines the EHMRG-BI model introduced by Özdemir, which builds on the existing Emergency Heart Failure Mortality Risk Grade score by adding brain natriuretic peptide (BNP) and endotracheal intubation as predictors.
The authors of the commentary, led by Kianoush A. h. Saberi L., acknowledge that the EHMRG-BI model demonstrated improved discrimination in its derivation cohort. However, they emphasize that this evidence comes from a single-center study, and they identify three principal concerns. The first concerns the inclusion of endotracheal intubation among the model’s predictors. Because intubation is a treatment decision made by clinicians rather than a baseline characteristic of the patient, the commentary argues that its inclusion may introduce bias and limit the model’s usefulness as a prognostic tool applied at the time of a patient’s arrival in the emergency department.
The second concern relates to what the model leaves out. The commentary notes that the EHMRG-BI model does not incorporate key geriatric domains such as frailty, functional status, and cognitive impairment. In a model intended specifically for older adults, the absence of these assessments may result in residual confounding, meaning that important dimensions of risk in geriatric populations remain unmeasured. The authors suggest that integrating such geriatric assessments represents an opportunity to refine risk prediction further rather than an optional enhancement.
The third concern involves how the biomarker BNP is handled statistically. The commentary states that modelling BNP as a linear predictor disregards its well-documented non-linear association with mortality, which may cause the model to underutilize the prognostic information available from this biomarker. Flexible modelling approaches, the authors argue, would better capture the true relationship between BNP levels and death risk.
Looking forward, the commentary proposes several refinements: external validation of the model across diverse settings, exploration of the incremental value of frailty and functional assessments, and adoption of flexible BNP modelling. Until such work is completed, the authors conclude that the EHMRG-BI model should be regarded as a promising but preliminary tool for mortality prediction in older adults with acute heart failure. The article is open access, and the authors report that no datasets were generated or analysed during the study.
Subject of Research: Methodological critique of the EHMRG-BI model for predicting 30-day mortality in older adults with acute heart failure
Article Title: Refining risk prediction in geriatric heart failure: the emergency heart failure mortality risk grade‑BI model under scrutiny
Article References: Saberi L., K. A. H., Alimova, D., Niyazov, S., Qayumov, K., Gaffarova, P., Juraqobilova, X., & Kadirova, Z. (2026). Refining risk prediction in geriatric heart failure: the emergency heart failure mortality risk grade‑BI model under scrutiny. Aging Clinical and Experimental Research, 38(1), Article 209. https://doi.org/10.1007/s40520-026-03537-7
Image Credits: AI Generated
DOI: 10.1007/s40520-026-03537-7
Keywords: heart failure, geriatrics, risk prediction, EHMRG-BI, brain natriuretic peptide, mortality, frailty, emergency medicine, prognosis, Matters Arising, Refining, risk
News Source: Beatrice Stafford. (October 29, 2026). Mortality risk model for older heart failure patients needs refinement, commentary says. Scienmag.
