Association between pan-immune-inflammation value and heart failure: Evidence from the NHANES 2011–2020

ObjectiveThis study aimed to explore the association between pan-immune-inflammation value and heart failure outcomes using data from the nationally representative National Health and Nutrition Examination Survey database.MethodsWe conduct a cross-sectional cohort analysis using National Health and Nutrition Examination Survey data, including participants aged ≥20 years with available pan-immune-inflammation value data. We performed smooth curve fitting and threshold analysis, using both linear and non-linear regression models, to assess dose-response relationship and explore the continuous effect of pan-immune-inflammation value on heart failure outcomes.ResultsOur analysis revealed a significant and independent non-linear association between elevated pan-immune-inflammation value levels and an increased risk of heart failure occurrence. After adjustment for multiple covariates, these findings remained consistent and each increment unit in logarithmic pan-immune-inflammation value is associated with 34% increase in the risk of heart failure occurrence. Furthermore, we identified an inflection point of logarithmic pan-immune-inflammation value = 5.98 as a critical threshold. Stratified analyses revealed that the association between pan-immune-inflammation value and heart failure occurrence remains consistent across different subgroups.ConclusionsThis study confirmed the clinical value of pan-immune-inflammation value as a novel inflammatory biomarker in the assessment and monitoring of heart failure.

Authors

Institutions

Publication Details

Journal
Journal of International Medical Research
Published
2025-03-01
DOI
https://doi.org/10.1177/03000605251325176
Citations
4
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between pan-immune-inflammation value and heart failure: Evidence from the NHANES 2011–2020

Yijie Mao, Chen Fu
4 citations
Journal of International Medical Research
Inflammatory Biomarkers in Disease Prognosis
4.18
article

Association between pan-immune-inflammation value and heart failure: Evidence from the NHANES 2011–2020

Yijie Mao, Chen Fu
article en
4 citations

Abstract

ObjectiveThis study aimed to explore the association between pan-immune-inflammation value and heart failure outcomes using data from the nationally representative National Health and Nutrition Examination Survey database.MethodsWe conduct a cross-sectional cohort analysis using National Health and Nutrition Examination Survey data, including participants aged ≥20 years with available pan-immune-inflammation value data. We performed smooth curve fitting and threshold analysis, using both linear and non-linear regression models, to assess dose-response relationship and explore the continuous effect of pan-immune-inflammation value on heart failure outcomes.ResultsOur analysis revealed a significant and independent non-linear association between elevated pan-immune-inflammation value levels and an increased risk of heart failure occurrence. After adjustment for multiple covariates, these findings remained consistent and each increment unit in logarithmic pan-immune-inflammation value is associated with 34% increase in the risk of heart failure occurrence. Furthermore, we identified an inflection point of logarithmic pan-immune-inflammation value = 5.98 as a critical threshold. Stratified analyses revealed that the association between pan-immune-inflammation value and heart failure occurrence remains consistent across different subgroups.ConclusionsThis study confirmed the clinical value of pan-immune-inflammation value as a novel inflammatory biomarker in the assessment and monitoring of heart failure.

Journal of International Medical ResearchVol. 53(3)
The First People's Hospital of Xiaoshan District, Hangzhou (CN)
Zero hunger
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.