The predictive acccuracy for mortality of peripheral hematological markers ratios in mechanically ventilated COVID-19 patients

Raja Alkhasawneh, Kais Yazid Asad Ghanma, S. Aldaoud, Laith Siam Azzar Toeimeh, Ghaith Mshari ABU ALSAMEN, M. Obeidat, M. Shabaneh
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引用次数: 1

Abstract

Background. Hematologic markers ratios have been proposed as indicators to assist in the diagnosis and risk stratification of infectious diseases. The objective of the study was to explore the predictive value of neutrophils and monocytes to lymphocytes ratios (NLR and MLR, respectively) and to determine their cut-off values for the early severity stratification in mechanically ventilated critically ill SARS-CoV-2 infected patients. Material and methods. This study was retrospectively conducted on 193 patients admitted with COVID-19 in a specialized center in Jordan. Data were retrieved from the electronic medical record system over 9 months, between April – December 2020. Patients aged below 18 years, with a hospital length of stay less than 7 days, and whose studied variables were totally or partially missed were excluded from our study. An Independent and One-Sample T-Tests were used for parametric comparative data while non-parametric comparative variables were analysed using Chi Square Test. A receiver operating characteristic (ROC) was plotted to investigate the area under each curve (AUROC) of the tested prognosticator. Results. The mean age of the entire study group was 58.37±9.96 years, and the survivor group was insignificantly older than the non-survivor group (58.55±9.95 years versus 58.09±10.05 years, respectively). The 28-day intensive care unit mortality was detected in 94 patients (48.70%) during a mean of 12.40±4.79 days. NLR and MLR were significantly lower in the survivor group compared to the non-survivor cohort (2.22±0.99 and 0.25±0.10 versus 5.16±2.08 and 0.89±0.19, respectively, p <0.05). Conclusions. In this study, the higher values of MLR and NLR in patients with COVID-19, particularly in those with mechanical ventilation, could be used as predictors for risk stratification of patients with COVID-19.
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机械通气COVID-19患者外周血血液学指标比值预测死亡率的准确性
背景。血液学指标比率已被建议作为辅助传染病诊断和风险分层的指标。本研究旨在探讨中性粒细胞和单核细胞/淋巴细胞比值(NLR和MLR)对机械通气危重症SARS-CoV-2感染患者早期严重程度分层的预测价值,并确定其临界值。材料和方法。本研究回顾性分析了约旦一家专业中心收治的193例COVID-19患者。从2020年4月至12月的9个月内从电子病历系统中检索数据。年龄小于18岁,住院时间小于7天,且研究变量全部或部分遗漏的患者被排除在我们的研究之外。参数比较数据采用独立和单样本t检验,非参数比较变量采用卡方检验。绘制受试者工作特征(ROC)来研究被测预后者每条曲线下的面积(AUROC)。结果。整个研究组的平均年龄为58.37±9.96岁,生存组比非生存组年龄无统计学意义(分别为58.55±9.95岁和58.09±10.05岁)。重症监护室28天死亡率94例(48.70%),平均为12.40±4.79天。生存组NLR和MLR显著低于非生存组(分别为2.22±0.99和0.25±0.10比5.16±2.08和0.89±0.19,p <0.05)。结论。在本研究中,COVID-19患者,特别是机械通气患者的MLR和NLR值较高,可作为COVID-19患者风险分层的预测指标。
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来源期刊
Archives of the Balkan Medical Union
Archives of the Balkan Medical Union Medicine-Medicine (all)
CiteScore
0.50
自引率
0.00%
发文量
46
审稿时长
20 weeks
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