Association between complex indices of blood cell types and lipid levels with all‐cause, cardiovascular mortality in hemodialysis patients: A multicenter retrospective study

Complex indices of PIV, SIRI, SII, MHR, and NLR are significantly associated with mortality in patients under hemodialysis. MHR, as a potent independent predictor, and PIV, with its high diagnostic efficacy, played a critical role in systemic inflammation and altered lipid metabolism over the risk of mortality.

Authors

Institutions

Publication Details

Journal
Therapeutic Apheresis and Dialysis
Published
2025-03-24
DOI
https://doi.org/10.1111/1744-9987.70010
Citations
4
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
4.18

Funders

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

Association between complex indices of blood cell types and lipid levels with all‐cause, cardiovascular mortality in hemodialysis patients: A multicenter retrospective study

Hualin Ma, Yuanwen Xu, Yunuo Wang, Minjie Chen et al.
4 citations
Therapeutic Apheresis and Dialysis
Inflammatory Biomarkers in Disease Prognosis
4.18
article

Association between complex indices of blood cell types and lipid levels with all‐cause, cardiovascular mortality in hemodialysis patients: A multicenter retrospective study

Hualin Ma, Yuanwen Xu, Yunuo Wang, Minjie Chen, Lixia Liu, Jianhua Wu, Lijun Luo, Jianjun Zhang
article en
4 citations

Abstract

Complex indices of PIV, SIRI, SII, MHR, and NLR are significantly associated with mortality in patients under hemodialysis. MHR, as a potent independent predictor, and PIV, with its high diagnostic efficacy, played a critical role in systemic inflammation and altered lipid metabolism over the risk of mortality.

Therapeutic Apheresis and DialysisVol. 29(3)
Sun Yat-sen University (CN), ShenZhen People’s Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Huizhou Central People's Hospital (CN)
Guangzhou Municipal Science and Technology Project
Good health and well-being
Openalex Percentile: Top 6%
Inflammatory Biomarkers in Disease Prognosis
4.18
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.