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Association between complete blood count-derived inflammatory markers and the risk of frailty and mortality in middle-aged and older adults

Bibliographic Data

ID22069418
AuthorsYu Tang (0000-0001-5231-6347, First Affiliated Hospital of Wannan Medical College), Ying Zhai (0000-0002-3518-3359, First Affiliated Hospital of Wannan Medical College), Wenjing Song (0000-0002-6259-2844, First Affiliated Hospital of Wannan Medical College), Tengxiao Zhu (First Affiliated Hospital of Wannan Medical College), Zichen Xu (0000-0002-7787-1109, First Affiliated Hospital of Wannan Medical College), Luqing Jiang (First Affiliated Hospital of Wannan Medical College), Lei Li (0000-0002-0388-7933, First Affiliated Hospital of Wannan Medical College), Daoqin Liu (0000-0003-0588-0943, Wannan Medical College, corresponding author), Qiwen Wu (0000-0002-1808-0972, First Affiliated Hospital of Wannan Medical College, corresponding author)
Year2024
Volume12
Pages1427546-1427546
Publication date2024-07-31
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1427546
PMID39145178
OpenAlexW4401173501
LanguageEN
References cited39

Objective: This study aimed to evaluate the association between six complete blood count (CBC)-derived inflammatory markers [neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and pan-immune inflammation value (PIV)] and the risk of frailty and mortality. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Mortality was identified using the National Death Index until December 31, 2019. Multiple logistic regression analysis was conducted to evaluate the association between six CBC-derived inflammatory markers and frailty. The Cox regression model assessed the association between six CBC-derived inflammatory markers and mortality in frail populations. Restricted cubic spline (RCS) was used to visualize the association of the six CBC-derived inflammatory markers with mortality risk. The predictive value of CBC-derived inflammatory markers for mortality was further assessed using a random survival forest (RSF) approach. Results: This study analyzed data from a total of 16,705 middle-aged and older participants. Among them, 6,503 participants were frail, with a mortality rate of 41.47%. Multiple logistic regression analysis showed that NLR, MLR, PLR, SII, SIRI, and PIV were positively associated with frailty risk. The Cox regression model revealed that participants in the highest quartile had a significantly increased risk of death compared to those in the lowest quartile: NLR (HR = 1.73, 95% CI:1.54, 1.94), MLR (HR = 1.71, 95% CI:1.51, 1.93), PLR (HR = 1.28, 95%CI: 1.15, 1.43), SII (HR = 1.50, 95%CI:1.34, 1.68), SIRI (HR = 1.88, CI 95%:1.67, 2.12), PIV (HR = 1.55, 95%CI:1.38, 1.73). Random survival forest (RSF) analyses demonstrated that MLR had the highest predictive value for mortality risk middle-aged and older adult frail participants. Conclusion: The results suggest that CBC-derived inflammatory markers are associated with a higher risk of frailty as well as mortality in the middle and old-aged population of the United States

Absolute neutrophil count · C-reactive protein · Confidence interval · Hazard ratio · Inflammation · Logistic regression · Lymphocyte · National Death Index · National Health and Nutrition Examination Survey · Neutropenia · Neutrophil to lymphocyte ratio · Population · Proportional hazards model · Quartile · Risk of mortality · Adipokines, Inflammation, and Metabolic Diseases · Inflammation biomarkers and pathways · Inflammatory Biomarkers in Disease Prognosis · Medicine · Immunology · Internal Medicine

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    Open Access•Luigi Ferrucci, Elisa Fabbri•Nature Reviews Cardiology•2018

  • Frailty

    Open Access•Emiel O Hoogendijk, Jonathan Afilalo et al.•The Lancet•2019

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    Open Access•Junning Fan, Canqing Yu et al.•The Lancet Public Health•2020

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    Open Access•Andrew Clegg, John Young et al.•The Lancet•2013

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    Linda P Fried, Catherine M Tangen et al.•The Journals of Gerontology…•2001

Highly citedNo

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