中性粒细胞与淋巴细胞比率和合并症作为suararta Dr. Moewardi医院COVID-19患者死亡率预测因子

Lawly Arrel Dionnie Greatalya, D. Ariningrum, Lukman Aryoseto
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引用次数: 0

摘要

新冠肺炎疫情已成为全球关注的主要健康问题。该疾病传播迅速,严重程度不一,这给控制该病带来了复杂性。血液学实验室检查已成为治疗期间的标准程序。本研究旨在确定血液学参数作为COVID-19死亡率预测因子的关系。本研究采用队列回顾性方法,观察了2020年5月至2021年6月在泗水Dr. Moewardi医院住院的COVID-19危重患者的医疗记录。在这项研究中观察到的变量是年龄、性别、合并症和血液学实验室检查对结果的影响。然后用SPSS对结果进行双变量和多变量分析。在161个数据中,101个还活着,60个已经死亡。双因素分析显示,年龄50 ~ 80岁(RR= 2.246;p=0.029),合并症(RR=2.891;p=0.008),白细胞>9850/µl (RR=2.634;p=0.004),中性粒细胞百分比>84.25% (RR=4.808;p=0.000),淋巴细胞百分率9.326 (RR=5.031;P =0.000)与结果有关系。性别、血红蛋白水平和血小板水平与患者预后无显著相关性。多因素分析显示有合并症病史(RR=2.9326;p=0.012), NLR >9.326 (RR=5.073;p=0.000)被证明是COVID-19患者死亡率的良好预测因子。这一结果有利于临床医生预测COVID-19患者的死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neutrophil-to-Lymphocyte Ratio and Comorbidities as Mortality Predictors for COVID-19 Patient at Dr. Moewardi Hospital Surakarta
The COVID-19 pandemic has drawn global attention as its main health issue. The rapid transmission and the diverse degree of severity have caused complicacy in controlling the disease. A hematological lab test has been a standard procedure done during therapy. This study aimed to determine the relation of the hematological parameter as a COVID-19 mortality predictor. The cohort retrospective method was used for this study by observing the medical records of critically ill COVID-19 patients admitted at Dr. Moewardi Hospital, Surakarta, from May 2020 to June 2021. The observed variables in this study were age, gender, comorbidities, and hematological lab test towards the outcome. The results were then analyzed bivariate and multivariate with SPSS. Out of 161 data, 101 were found alive and 60 deceased. Bivariate analysis showed that age of 50-80 years (RR= 2.246; p=0.029), comorbidities (RR=2.891; p=0.008), leucocyte>9850/µl (RR=2.634; p=0.004), neutrophil percentage >84.25% (RR=4.808; p=0.000), lymphocyte percentage<22% (RR=0.065; p=0.008), and NLR>9.326 (RR=5.031; p=0.000) had a relationship with the outcome. Gender, hemoglobin level, and platelet did not significantly correlate with the patient's outcome. Multivariate analysis showed that a history of comorbidities (RR=2.9326; p=0.012) and NLR >9.326 (RR=5.073; p=0.000) were proven to be a good predictor for mortality of COVID-19 patients. This result can be advantageous for clinicians in predicting the mortality of COVID-19 patients.
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