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中性粒细胞与淋巴细胞比值预测全因死亡率和心血管死亡率的核心作用:基于2005 - 2014年国家健康与营养检查调查的研究

The Core Role of Neutrophil-Lymphocyte Ratio to Predict All-Cause and Cardiovascular Mortality: A Research of the 2005-2014 National Health and Nutrition Examination Survey.

作者信息

Gu Linguo, Xia Zhenkun, Qing Bei, Chen Hongzuo, Wang Wei, Chen Ying, Yuan Yunchang

机构信息

Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.

出版信息

Front Cardiovasc Med. 2022 May 12;9:847998. doi: 10.3389/fcvm.2022.847998. eCollection 2022.

Abstract

OBJECTIVE

To further supplement the previous research on the relationship between neutrophil-lymphocyte ratio (NLR) and all-cause and cardiovascular mortality, and construct clinical models to predict mortality.

METHODS

A total number of 2,827 observers were included from the National Health and Nutrition Examination Survey (NHANES) database in our research. NLR was calculated from complete blood count. According to the quartile of baseline NLR, those observers were divided into four groups. A multivariate weighted Cox regression model was used to analyze the association of NLR with mortality. We constructed simple clinical prognosis models by nomograms. Kaplan-Meier survival curves were used to depict cause-specific mortality. Restricted cubic spline regression was used to make explicit relationships between NLR and mortality.

RESULTS

This study recruited 2,827 subjects aged ≥ 18 years from 2005 to 2014. The average age of these observers was 51.55 ± 17.62, and 57.69% were male. NLR is still an independent predictor, adjusted for age, gender, race, drinking, smoking, dyslipidemia, and other laboratory covariates. The area under the receiver operating characteristic curves (AUCs) of NLR for predicting all-cause mortality and cardiovascular mortality were 0.632(95% CI [0599, 0.664]) and 0.653(95% CI [0.581, 0.725]), respectively, which were superior to C-reactive protein (AUCs: 0.609 and 0.533) and WBC (AUCs: 0.522 and 0.513). The calibration and discrimination of the nomograms were validated by calibration plots and concordance index (C-index), and the C-indexes (95% CIs) of nomograms for all-cause and cardiovascular mortality were 0.839[0.819,0.859] and 0.877[0.844,0.910], respectively. The restricted cubic spline showed a non-linear relationship between NLR and mortality. NLR > 2.053 might be a risk factor for mortality.

CONCLUSION

There is a non-linear relationship between NLR and mortality. NLR is an independent factor related to mortality, and NLR > 2.053 will be a risk factor for prognosis. NLR and nomogram should be promoted to medical use for practicality and convenience.

摘要

目的

进一步补充先前关于中性粒细胞与淋巴细胞比值(NLR)与全因死亡率和心血管死亡率之间关系的研究,并构建预测死亡率的临床模型。

方法

本研究纳入了来自美国国家健康与营养检查调查(NHANES)数据库的2827名观察者。根据全血细胞计数计算NLR。根据基线NLR的四分位数,将这些观察者分为四组。使用多变量加权Cox回归模型分析NLR与死亡率的关联。我们通过列线图构建了简单的临床预后模型。采用Kaplan-Meier生存曲线描述特定病因死亡率。使用受限立方样条回归明确NLR与死亡率之间的关系。

结果

本研究招募了2005年至2014年年龄≥18岁的2827名受试者。这些观察者的平均年龄为51.55±17.62岁,男性占57.69%。在调整了年龄、性别、种族、饮酒、吸烟、血脂异常和其他实验室协变量后,NLR仍然是一个独立的预测因子。NLR预测全因死亡率和心血管死亡率的受试者工作特征曲线下面积(AUC)分别为0.632(95%CI[0.599,0.664])和0.653(95%CI[0.581,0.725]),优于C反应蛋白(AUC:0.609和0.533)和白细胞(AUC:0.522和0.513)。通过校准图和一致性指数(C指数)验证了列线图的校准和辨别能力,全因死亡率和心血管死亡率列线图的C指数(95%CI)分别为0.839[0.819,0.859]和0.877[0.844,0.910]。受限立方样条显示NLR与死亡率之间存在非线性关系。NLR>2.053可能是死亡率的一个危险因素。

结论

NLR与死亡率之间存在非线性关系。NLR是与死亡率相关的独立因素,NLR>2.053将是预后的一个危险因素。NLR和列线图因其实用性和便利性应推广应用于医学实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b64/9133381/84f5694e4dae/fcvm-09-847998-g001.jpg

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