Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning

The NMa ratio is strongly and linearly associated with 30-day and 90-day all-cause mortality, with higher levels significantly increasing mortality risk, even after adjusting for potential confounders. Predictive models using Cox regression and Random Forest algorithms showed strong performance, indicating that the NMa ratio could function as a predictor of negative prognosis in patients with sepsis.

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2025-04-22
DOI
https://doi.org/10.1186/s12879-025-10969-5
Citations
3
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.06

Funders

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

Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning

Guangzan Yu, Qian Ma, Xiaojun Ji, Lulu Liu et al.
3 citations
BMC Infectious Diseases
Sepsis Diagnosis and Treatment
4.06
article

Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning

Guangzan Yu, Qian Ma, Xiaojun Ji, Lulu Liu, Hua He
article en
3 citations

Abstract

The NMa ratio is strongly and linearly associated with 30-day and 90-day all-cause mortality, with higher levels significantly increasing mortality risk, even after adjusting for potential confounders. Predictive models using Cox regression and Random Forest algorithms showed strong performance, indicating that the NMa ratio could function as a predictor of negative prognosis in patients with sepsis.

BMC Infectious DiseasesVol. 25(1)
Capital Medical University (CN), Beijing Anzhen Hospital (CN)
Capital Medical University, Natural Science Foundation of Beijing Municipality
Good health and well-being
Openalex Percentile: Top 7%
Sepsis Diagnosis and Treatment
4.06
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.