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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.
Tang, Yu; Zhai, Ying; Song, Wenjing; Zhu, Tengxiao; Xu, Zichen; Jiang, Luqing; Li, Lei; Liu, Daoqin; Wu, Qiwen.
Afiliação
  • Tang Y; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Zhai Y; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Song W; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Zhu T; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Xu Z; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Jiang L; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Li L; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Liu D; Department of Kidney Medicine, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
  • Wu Q; Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Front Public Health ; 12: 1427546, 2024.
Article em En | MEDLINE | ID: mdl-39145178
ABSTRACT

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% CI1.54, 1.94), MLR (HR = 1.71, 95% CI1.51, 1.93), PLR (HR = 1.28, 95%CI 1.15, 1.43), SII (HR = 1.50, 95%CI1.34, 1.68), SIRI (HR = 1.88, CI 95%1.67, 2.12), PIV (HR = 1.55, 95%CI1.38, 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Inquéritos Nutricionais / Fragilidade / Inflamação Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Front Public Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Inquéritos Nutricionais / Fragilidade / Inflamação Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Front Public Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China