Emergency department, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China.
J Clin Lab Anal. 2022 May;36(5):e24397. doi: 10.1002/jcla.24397. Epub 2022 Mar 31.
There is need to identify biomarkers for prognosis of acute respiratory distress syndrome (ADRS). This may allow early and accurate identification of patients with high-risk ARDS to guide adjustment of clinical treatment and nursing intervention, which would ultimately improve prognosis of patients with ARDS. Biomarkers based on a combination of fasting glucose and lymphocyte counts to predict prognosis in critically ill patients with ARDS remain undefined. In this study, we investigated the association between glucose-to-lymphocyte ratio (GLR) and in-hospital mortality.
The study obtained data from Medical Information Mart for Intensive Care-IV (MIMIC-IV Version 1.0) database. We defined the GLR as fasting glucose/lymphocyte count and the patient in-hospital mortality was considered as the outcome. In addition, we employed linear and logistic regression models for analysis.
In total, 1,085 patients with ARDS were included in this study. The eligible participants included 498 female and 587 males, with a mean age of 64.2 ± 17.5 years. Logistic regression analysis demonstrated that higher GLR was an independent risk factor for all-cause mortality (OR =1.67, 95% CI: 1.26-2.22) after adjusting for age, sex, anion gap, white blood cell count, congestive heart failure, sequential organ failure assessment (SOFA), SBP, DBP, and respiratory rate in both the dichotomized group and subgroups. We also analyzed the in-hospital mortality to ROC curves by comparing the value between SOFA + GLR and SOFA. The area under the curve (AUC) was 0.6991 for the SOFA + GLR (95% CI: 0.6634-0.7348), and 0.6613 for the SOFA (95% CI: 0.6238-0.6988).
Our data showed that the GLR was an independent predictor of in-hospital mortality for patients with ARDS. The GLR is an integrated, readily available clinical biomarker for mortality in patients with ARDS.
需要确定急性呼吸窘迫综合征(ARDS)预后的生物标志物。这可能允许早期和准确地识别高危 ARDS 患者,以指导临床治疗和护理干预的调整,从而最终改善 ARDS 患者的预后。基于空腹血糖和淋巴细胞计数组合的生物标志物来预测 ARDS 危重症患者的预后仍未确定。在这项研究中,我们研究了血糖与淋巴细胞比值(GLR)与住院死亡率之间的关系。
该研究从医疗信息监护-IV(MIMIC-IV 版本 1.0)数据库中获取数据。我们将 GLR 定义为空腹血糖/淋巴细胞计数,将患者住院死亡率视为结局。此外,我们还采用了线性和逻辑回归模型进行分析。
共有 1085 名 ARDS 患者纳入本研究。合格参与者包括 498 名女性和 587 名男性,平均年龄为 64.2±17.5 岁。逻辑回归分析表明,在校正年龄、性别、阴离子间隙、白细胞计数、充血性心力衰竭、序贯器官衰竭评估(SOFA)、收缩压、舒张压和呼吸频率后,较高的 GLR 是全因死亡率的独立危险因素(OR=1.67,95%CI:1.26-2.22),无论是在二分组还是亚组中。我们还通过比较 SOFA+GLR 和 SOFA 之间的值,对 ROC 曲线进行了住院死亡率分析。SOFA+GLR 的曲线下面积(AUC)为 0.6991(95%CI:0.6634-0.7348),SOFA 的 AUC 为 0.6613(95%CI:0.6238-0.6988)。
我们的数据表明,GLR 是 ARDS 患者住院死亡率的独立预测因子。GLR 是 ARDS 患者死亡率的一种综合、易于获得的临床生物标志物。