Abstract 4357267: Systemic Inflammation Response Index Predicts 30-Day Mortality in Vietnamese Acute Heart Failure Patients

Introduction: Inflammation plays a important role in determining the prognosis of heart failure. Recent studies have demonstrated that both established and novel inflammatory biomarkers—such as the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), Systemic Immune-Inflammation Index (SII), and, in particular, the Systemic Inflammation Response Index (SIRI)—serve as important predictors of mortality in heart failure patients. Nonetheless, data from developing countries like Vietnam remain limited. Hypothesis: Inflammatory markers are associated with 30-day all-cause mortality in patients hospitalized with acute heart failure (AHF). Methods: We performed a prospective cohort study at Can Tho Central General Hospital—a tertiary care center in Vietnam—from May 2024 through April 2025. Consecutive adults (≥18 years) admitted with acute heart failure (NT-proBNP >300 pg/mL) who provided informed consent were enrolled, while those with active infection, immunosuppressant use within the prior three months, chronic liver disease, or active malignancy were excluded. Survivors were followed for 30 days after discharge, with all-cause mortality as the primary endpoint. Relative risks were derived from a modified Poisson log-linear regression using a robust (sandwich) variance estimator, adjusting for baseline demographics and comorbidities. Results: Among 411 AHF patients (mean age 69.6 ± 12.6 years; 47.4 % men), 262 (63.7 %) completed 30-day follow-up, during which 56 deaths occurred (all-cause mortality 21.4 %). Non-survivors were older, carried a greater comorbidity burden, and exhibited higher median levels of NLR, MLR, PLR, SII, and SIRI than survivors. In multivariable Poisson models adjusted for age, sex, coronary artery disease, prior heart failure, hypertension, and diabetes, individuals in the highest biomarker quartile had markedly increased 30-day mortality risk compared with those in the lowest quartile: NLR (RR 3.6; 95 % CI 1.6–8.3), MLR (RR 6.1; 95 % CI 2.2–16.5), PLR (RR 2.3; 95 % CI 1.2–4.4), SII (RR 2.4; 95 % CI 1.2–4.8), and SIRI (RR 4.3; 95 % CI 1.8–10.4). Conclusion: Inflammatory markers independently predict 30-day mortality in Vietnamese AHF patients; adding them to risk models may enhance short-term prognosis, while its longer-term predictive value warrants further investigation.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4357267
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4357267: Systemic Inflammation Response Index Predicts 30-Day Mortality in Vietnamese Acute Heart Failure Patients

Thanh Phong Pham, Hoa Thanh Thi Le, Thien Tan Tri Tai Truyen, Thanh Phong Tran et al.
Circulation
Heart Failure Treatment and Management
article

Abstract 4357267: Systemic Inflammation Response Index Predicts 30-Day Mortality in Vietnamese Acute Heart Failure Patients

Thanh Phong Pham, Hoa Thanh Thi Le, Thien Tan Tri Tai Truyen, Thanh Phong Tran, Tuan Diep Tran, Hang Thu Nguyen, Phuong Vo, Pham Hung Viet, Huong Le Thien Tran, Minh Thu Nguyen, Tri Cuong Phan, CD Do, Bang Luu
article en

Abstract

Introduction: Inflammation plays a important role in determining the prognosis of heart failure. Recent studies have demonstrated that both established and novel inflammatory biomarkers—such as the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), Systemic Immune-Inflammation Index (SII), and, in particular, the Systemic Inflammation Response Index (SIRI)—serve as important predictors of mortality in heart failure patients. Nonetheless, data from developing countries like Vietnam remain limited. Hypothesis: Inflammatory markers are associated with 30-day all-cause mortality in patients hospitalized with acute heart failure (AHF). Methods: We performed a prospective cohort study at Can Tho Central General Hospital—a tertiary care center in Vietnam—from May 2024 through April 2025. Consecutive adults (≥18 years) admitted with acute heart failure (NT-proBNP >300 pg/mL) who provided informed consent were enrolled, while those with active infection, immunosuppressant use within the prior three months, chronic liver disease, or active malignancy were excluded. Survivors were followed for 30 days after discharge, with all-cause mortality as the primary endpoint. Relative risks were derived from a modified Poisson log-linear regression using a robust (sandwich) variance estimator, adjusting for baseline demographics and comorbidities. Results: Among 411 AHF patients (mean age 69.6 ± 12.6 years; 47.4 % men), 262 (63.7 %) completed 30-day follow-up, during which 56 deaths occurred (all-cause mortality 21.4 %). Non-survivors were older, carried a greater comorbidity burden, and exhibited higher median levels of NLR, MLR, PLR, SII, and SIRI than survivors. In multivariable Poisson models adjusted for age, sex, coronary artery disease, prior heart failure, hypertension, and diabetes, individuals in the highest biomarker quartile had markedly increased 30-day mortality risk compared with those in the lowest quartile: NLR (RR 3.6; 95 % CI 1.6–8.3), MLR (RR 6.1; 95 % CI 2.2–16.5), PLR (RR 2.3; 95 % CI 1.2–4.4), SII (RR 2.4; 95 % CI 1.2–4.8), and SIRI (RR 4.3; 95 % CI 1.8–10.4). Conclusion: Inflammatory markers independently predict 30-day mortality in Vietnamese AHF patients; adding them to risk models may enhance short-term prognosis, while its longer-term predictive value warrants further investigation.

CirculationVol. 152(Suppl_3)
Can Tho University (VN), Can Tho University of Medicine and Pharmacy
Openalex Percentile: Top 51%
Heart Failure Treatment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.