Abstract 4140887: Impact of Advanced Lung Cancer Inflammation Index on All-Cause Mortality Among Patients With Heart Failure: A Meta-analysis with Reconstructed Time-to-Event Data

Background: Heart failure (HF) is associated with systemic inflammation and hypercatabolic syndrome, impacting body metabolism. The advanced lung cancer inflammation index (ALI) is a novel inflammatory and nutritional biomarker. Purpose: We aimed to investigate the prognostic role of ALI in patients with HF. Methods: We comprehensively searched PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through March 2024. We conducted a pair-wise and prognostic systematic review and meta-analysis with a reconstructed time-to-event data meta-analysis. All analyses were performed using R V. 4.3.1. This meta-analysis was registered at PROSPERO (CRD42024535227). Results: We included four studies with 2,247 patients. In the pair-wise meta-analysis, ALI ≤ 25 was significantly associated with an increased incidence of all-cause mortality compared with ALI > 25 (risk ratio [RR] 1.73, 95% confidence interval [CI] 1.36-2.21, P< 0.01). On the adjusted prognostic meta-analysis, higher ALI (>25) was significantly associated with a reduction in the incidence of all-cause mortality (hazards ratio [HR] 0.45, 95% CI 0.35-0.58, P< 0.01). The reconstructed Kaplan Meier showed that ALI > 25 was significantly associated with a 56% reduction in the incidence of all-cause mortality compared with ALI ≤ 25 (HR 0.44, 95% CI 0.38-0.50, P< 0.000001). Conclusion: Among patients with HF, a low ALI was associated with a higher incidence of all-cause mortality rate than those with a high ALI. These findings suggest that ALI can be used for prognostic stratification and aid clinical decision-making in HF management.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4140887
Primary Topic
GDF15 and Related Biomarkers
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article
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article

Abstract 4140887: Impact of Advanced Lung Cancer Inflammation Index on All-Cause Mortality Among Patients With Heart Failure: A Meta-analysis with Reconstructed Time-to-Event Data

Brijesh Patel, Mohamed Abuelazm, Ashraf A. Ewis, Ramy Ghaly et al.
Circulation
GDF15 and Related Biomarkers
article

Abstract 4140887: Impact of Advanced Lung Cancer Inflammation Index on All-Cause Mortality Among Patients With Heart Failure: A Meta-analysis with Reconstructed Time-to-Event Data

Brijesh Patel, Mohamed Abuelazm, Ashraf A. Ewis, Ramy Ghaly, Basel Abdelazeem, Ahmed Mazen Amin, Hossam Elbenawi, Ubaid Khan, Khaled S. M. Elshaer
article en

Abstract

Background: Heart failure (HF) is associated with systemic inflammation and hypercatabolic syndrome, impacting body metabolism. The advanced lung cancer inflammation index (ALI) is a novel inflammatory and nutritional biomarker. Purpose: We aimed to investigate the prognostic role of ALI in patients with HF. Methods: We comprehensively searched PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through March 2024. We conducted a pair-wise and prognostic systematic review and meta-analysis with a reconstructed time-to-event data meta-analysis. All analyses were performed using R V. 4.3.1. This meta-analysis was registered at PROSPERO (CRD42024535227). Results: We included four studies with 2,247 patients. In the pair-wise meta-analysis, ALI ≤ 25 was significantly associated with an increased incidence of all-cause mortality compared with ALI > 25 (risk ratio [RR] 1.73, 95% confidence interval [CI] 1.36-2.21, P< 0.01). On the adjusted prognostic meta-analysis, higher ALI (>25) was significantly associated with a reduction in the incidence of all-cause mortality (hazards ratio [HR] 0.45, 95% CI 0.35-0.58, P< 0.01). The reconstructed Kaplan Meier showed that ALI > 25 was significantly associated with a 56% reduction in the incidence of all-cause mortality compared with ALI ≤ 25 (HR 0.44, 95% CI 0.38-0.50, P< 0.000001). Conclusion: Among patients with HF, a low ALI was associated with a higher incidence of all-cause mortality rate than those with a high ALI. These findings suggest that ALI can be used for prognostic stratification and aid clinical decision-making in HF management.

CirculationVol. 150(Suppl_1)
West Virginia University (US), University of Maryland, Baltimore (US), Mayo Clinic (US), Alfaisal University (SA), Mansoura University (EG), Tanta University (EG), University of Missouri–Kansas City (US)
Good health and well-being
Openalex Percentile: Top 64%
GDF15 and Related Biomarkers
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