Usefulness of Glucose to Lymphocyte Ratio to Predict in-Hospital Mortality in Patients with AECOPD Admitted to the Intensive Care Unit

作者全名："Hu, Tianyang; Liu, Xiaoqiang; Liu, Yanan"

作者地址："[Hu, Tianyang] Chongqing Med Univ, Affiliated Hosp 2, Precis Med Ctr, Chongqing, Peoples R China; [Liu, Xiaoqiang] Anyue Cty Peoples Hosp, Dept Orthoped Surg, Yueyang, Sichuan, Peoples R China; [Liu, Yanan] Jiulongpo Dist Peoples Hosp, Dept Resp, Chongqing, Peoples R China"

通信作者："Liu, YA (通讯作者)，23 Qianjin Rd, Chongqing 400050, Peoples R China."

来源：COPD-JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000779165000001

JCR分区：Q3

影响因子：2.2

年份：2022

卷号：19

期号：1

开始页：158

结束页：165

文献类型：Article

关键词：Glucose to lymphocyte ratio; Acute exacerbation chronic obstructive pulmonary disease; Intensive care unit; Predict; Nomogram

摘要："The purpose of this study was to investigate the relationship between glucose to lymphocyte ratio (GLR) and the outcome of acute exacerbation chronic obstructive pulmonary disease (AECOPD) patients admitted to the intensive care unit (ICU). This study included 3573 patients from the eICU Collaborative Research Database (eICU-CRD) and 926 AECOPD patients admitted to ICU from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The optimal cutoff value for GLR was 5.6. Kaplan-Meier analysis demonstrated that patients in lower GLR (< 5.6) group showed a better overall survival than patients in higher GLR (>= 5.6) group in all sets. Multivariate Cox regression analysis demonstrated that age, Sequential Organ Failure Assessment (SOFA) score, SpO2, albumin and GLR are independent predictors of poor overall survival in the training cohort and were incorporated into the nomogram for in-hospital mortality as independent factors. The nomogram exhibited excellent discrimination with C-indexes in training cohort, internal validation and external validation cohort were (0.801, 95%CI: 0.769-0.863), (0.805, 95%CI: 0.759-0.851) and (0.811, 95%CI: 0.772-0.850), respectively. The calibration plot indicated an adequate fit of the nomogram for predicting the risk of in-hospital mortality in all sets. Moreover, the ROC analyses demonstrated that the discrimination abilities of GLR were better than other blood-based inflammatory biomarkers. As an easily available biomarker, GLR can independently predict the in-hospital mortality in AECOPD patients admitted to ICU. The nomogram combining GLR with other significant indicators exhibited excellence predictive performance for in-hospital mortality."

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