The Value of HALP Score in Predicting Adverse In-Hospital Clinical Outcomes in Patients Undergoing Transcatheter Aortic Valve Replacement

Read full text
Authors: Ömer Faruk Çiçek, Mustafa Çetin, Ali Palice
Cited by: 2
References: 28

Abstract

Background: Transcatheter aortic valve replacement (TAVR) is widely used in patients with severe aortic stenosis. The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is an easily obtainable composite index that reflects nutritional status and systemic inflammation. Methods: In this single-center retrospective study, 140 patients who underwent TAVR between 1 April 2021, and 31 October 2024, were included. Patients were stratified according to the median HALP score (32.65) into low (5 units of red blood cells, acute kidney injury (AKI), need for mechanical ventilation >24 h, and length of hospital stay. Associations between the HALP score and clinical outcomes were evaluated using multivariable regression analyses, and the discriminatory performance of HALP was assessed using receiver operating characteristic (ROC) curves. Results: Patients with low HALP scores had higher rates of in-hospital mortality (11.4% vs. 4.2%; p = 0.002), bleeding (28.6% vs. 5.7%; p < 0.001), AKI (11.4% vs. 2.9%; p < 0.001), and need for mechanical ventilation >24 h (25.7% vs. 14.4%; p = 0.002), as well as longer hospital stay (4.82 ± 1.50 vs. 3.62 ± 1.94 days; p = 0.001) compared with the high-HALP group. In multivariable models, a lower HALP score remained independently associated with all adverse in-hospital outcomes. ROC analysis showed good discriminatory ability of the HALP score for mortality (area under the curve [AUC] = 0.816; cut-off = 20.16), bleeding (AUC = 0.798; cut-off = 24.94), AKI (AUC = 0.737; cut-off = 26.21), and need for mechanical ventilation (AUC = 0.735; cut-off = 27.36). Conclusions: The HALP score is independently associated with adverse in-hospital clinical outcomes in patients undergoing TAVR and may serve as a simple and practical tool for early risk stratification in this population.

Fields of Study & Subjects

Inflammatory Biomarkers in Disease Prognosis Cardiac Valve Diseases and Treatments Statistical Methods in Epidemiology

Publication details

Journal / source
Diagnostics
Publisher
MDPI AG
Volume
16
Issue
2
Pages
276–276
Publication date
15 January 2026
Language
EN