PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
摘要：
■本研究旨在评估六种全血细胞计数（CBC）衍生的炎症标志物之间的关联[中性粒细胞与淋巴细胞比率（NLR），单核细胞与淋巴细胞比率（MLR），血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），全身炎症反应指数（SIRI），和泛免疫性炎症值（PIV）]以及虚弱和死亡的风险。
■数据来自1999-2018年的国家健康和营养检查调查（NHANES）。死亡率是使用国家死亡指数确定的，直到2019年12月31日。进行了多逻辑回归分析以评估六个CBC衍生的炎症标志物与虚弱之间的关联。Cox回归模型评估了6种CBC来源的炎症标志物与虚弱人群死亡率之间的关联。使用限制性三次样条（RCS）可视化六个CBC衍生的炎症标志物与死亡风险的关联。使用随机生存森林(RSF)方法进一步评估CBC衍生的炎症标志物对死亡率的预测价值。
■这项研究分析了总共16,705名中年和老年参与者的数据。其中,6,503名参与者身体虚弱，死亡率为41.47%。多元logistic回归分析显示，NLR，MLR,PLR,SII,SIRI,和PIV与虚弱风险呈正相关。Cox回归模型显示，与最低四分位数的参与者相比，最高四分位数的参与者的死亡风险显着增加：NLR（HR=1.73，95％CI：1.54，1.94），MLR（HR=1.71，95%CI：1.51，1.93），PLR（HR=1.28，95CI：1.15，1.43），SII（HR=1.50，95CI：1.34，1.68），SIRI（HR=1.88，CI95%：1.67，2.12），PIV（HR=1.55，95CI：1.38，1.73）。随机生存森林（RSF）分析表明，MLR对中年和老年成年体弱参与者的死亡风险具有最高的预测价值。
■结果表明，在美国中老年人群中，CBC衍生的炎症标志物与更高的虚弱和死亡风险相关。
■数据来自1999-2018年的国家健康和营养检查调查（NHANES）。死亡率是使用国家死亡指数确定的，直到2019年12月31日。进行了多逻辑回归分析以评估六个CBC衍生的炎症标志物与虚弱之间的关联。Cox回归模型评估了6种CBC来源的炎症标志物与虚弱人群死亡率之间的关联。使用限制性三次样条（RCS）可视化六个CBC衍生的炎症标志物与死亡风险的关联。使用随机生存森林(RSF)方法进一步评估CBC衍生的炎症标志物对死亡率的预测价值。
■这项研究分析了总共16,705名中年和老年参与者的数据。其中,6,503名参与者身体虚弱，死亡率为41.47%。多元logistic回归分析显示，NLR，MLR,PLR,SII,SIRI,和PIV与虚弱风险呈正相关。Cox回归模型显示，与最低四分位数的参与者相比，最高四分位数的参与者的死亡风险显着增加：NLR（HR=1.73，95％CI：1.54，1.94），MLR（HR=1.71，95%CI：1.51，1.93），PLR（HR=1.28，95CI：1.15，1.43），SII（HR=1.50，95CI：1.34，1.68），SIRI（HR=1.88，CI95%：1.67，2.12），PIV（HR=1.55，95CI：1.38，1.73）。随机生存森林（RSF）分析表明，MLR对中年和老年成年体弱参与者的死亡风险具有最高的预测价值。
■结果表明，在美国中老年人群中，CBC衍生的炎症标志物与更高的虚弱和死亡风险相关。
