Systemic inflammatory response index and In-hospital mortality in diabetic heart failure patients: evidence from MIMIC-IV

SIRI independently predicts in-hospital mortality for critically ill patients with DM and HF by using neutrophil, lymphocyte, and monocyte counts to offer a comprehensive inflammatory profile. This aids in risk assessment and clinical decision-making.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2025-09-26
DOI
https://doi.org/10.1186/s12872-025-05168-8
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systemic inflammatory response index and In-hospital mortality in diabetic heart failure patients: evidence from MIMIC-IV

Tengxu Zhang, Hao Wang, Ying Xu, Ziwei Li et al.
BMC Cardiovascular Disorders
Sepsis Diagnosis and Treatment
article

Systemic inflammatory response index and In-hospital mortality in diabetic heart failure patients: evidence from MIMIC-IV

Tengxu Zhang, Hao Wang, Ying Xu, Ziwei Li, Tao Rui, Chaoqun Xu
article en

Abstract

SIRI independently predicts in-hospital mortality for critically ill patients with DM and HF by using neutrophil, lymphocyte, and monocyte counts to offer a comprehensive inflammatory profile. This aids in risk assessment and clinical decision-making.

BMC Cardiovascular DisordersVol. 25(1)
Jiangsu University (CN), Affiliated Hospital of Jiangsu University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 64%
Sepsis Diagnosis and Treatment
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.