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
2024; Lippincott Williams & Wilkins; Volume: 150; Issue: Suppl_1 Linguagem: Inglês
10.1161/circ.150.suppl_1.4140887
ISSN1524-4539
AutoresAhmed Mazen Amin, Ramy Ghaly, Hossam Elbenawi, Ubaid Khan, Ashraf A. Ewis, Khaled S. M. Elshaer, Mohamed Abuelazm, Basel Abdelazeem, Brijesh Patel,
Tópico(s)Circular RNAs in diseases
ResumoBackground: 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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