Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999-2018.

Journal: Frontiers in public health

PMID: 40255373

Abstract

BACKGROUND: This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from the NHANES.

Authors

Kuijie Zhang

Haiyan People's Hospital, Jiaxing, Zhejiang, China.
Xiaodong Ma

Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA.
Xicheng Zhou

Haiyan People's Hospital, Jiaxing, Zhejiang, China.
Gang Qiu

Haiyan People's Hospital, Jiaxing, Zhejiang, China.
Chunjuan Zhang

Haiyan People's Hospital, Jiaxing, Zhejiang, China.

Keywords

Adult Aged Arthritis Biomarkers Cause of Death Female Humans Hypertension Inflammation Machine Learning Male Middle Aged Nutrition Surveys Prognosis

External Resources

View on PubMed Access via DOI PubMed (40255373)

Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999-2018.

Abstract

Authors

Keywords

External Resources

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