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新型冠状病毒肺炎患者机械通气的早期预测指标。

Early predictors for mechanical ventilation in COVID-19 patients.

机构信息

The Department of Respiratory and Critical Care Medicine, Xiangya Hospital Central South University, Changsha, Hunan, China.

The Department of Respiratory and Critical Care Medicine, Xiangya Hospital Central South University, Changsha, Hunan 410008, China.

出版信息

Ther Adv Respir Dis. 2020 Jan-Dec;14:1753466620963017. doi: 10.1177/1753466620963017.

Abstract

OBJECTIVE

To identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients.

METHODS

This study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanical ventilation method was used during the hospitalization period.

RESULTS

Among 516 confirmed cases with COVID-19, 446 patients did not receive mechanical ventilation, 38 patients received invasive mechanical ventilation (IMV) and 32 received non-invasive mechanical ventilation (NIMV). The median age of the included patients was 61 years old (interquartile range, 52-69). A total of 432 patients had one or more coexisting illnesses. The main clinical symptoms included fever (79.46%), dry cough (66.47%) and shortness of breath (46.90%). IMV and NIMV patients included more men, more coexisting illnesses and received more medication. Patients in the IMV group and NIMV had higher leukocyte and neutrophil count, lower lymphocyte count, higher aspartate aminotransferase (AST), lactate dehydrogenase (LDH), C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels and lower albumin (ALB) level. The univariate and multiple logistic regression analysis showed that the use of glucocorticoid, increased neutrophil count and LDH had a predictive role as indicators for IMV, and the use of glucocorticoid, increased neutrophil count and PCT had a predictive role as indicators for NIMV. The area under the curve (AUC) of use of glucocorticoid, increased neutrophil count and LDH was 0.885 (95% confidence interval (CI) 0.838-0.933,  < 0.0001), which provided the specificity and sensitivity 77.7% and 90.9%, respectively. AUC of the use of glucocorticoid, increased neutrophil count and PCT for NIMV was 0.888 (95% CI 0.825-0.952,  < 0.0001), which provided the specificity and sensitivity 70.3% and 96.4%, respectively.

CONCLUSION

Glucocorticoid, increased neutrophil and LDH were predictive indicators for IMV, whereas glucocorticoid, increased neutrophil and PCT were predictive indicators for NIMV. In addition, the above-mentioned mediators had the most predictive meaning for mechanical ventilation when combined.

摘要

目的

确定 2019 年冠状病毒病(COVID-19)患者接受有创和无创机械通气的潜在预测因素。

方法

本研究回顾性分析了 516 例确诊 COVID-19 患者的数据,根据住院期间使用的机械通气方法将其分为三组。

结果

在 516 例确诊 COVID-19 患者中,446 例未接受机械通气,38 例接受有创机械通气(IMV),32 例接受无创机械通气(NIMV)。纳入患者的中位年龄为 61 岁(四分位间距,52-69)。共有 432 例患者存在一种或多种合并症。主要临床症状包括发热(79.46%)、干咳(66.47%)和呼吸急促(46.90%)。接受 IMV 和 NIMV 的患者中男性更多,合并症更多,接受的药物治疗更多。IMV 组和 NIMV 组的白细胞和中性粒细胞计数更高,淋巴细胞计数更低,天冬氨酸转氨酶(AST)、乳酸脱氢酶(LDH)、C 反应蛋白(CRP)、降钙素原(PCT)和 D-二聚体水平更高,白蛋白(ALB)水平更低。单因素和多因素逻辑回归分析显示,使用糖皮质激素、中性粒细胞计数和 LDH 增加是有创机械通气的预测指标,使用糖皮质激素、中性粒细胞计数和 PCT 增加是无创机械通气的预测指标。使用糖皮质激素、中性粒细胞计数和 LDH 的曲线下面积(AUC)为 0.885(95%置信区间 0.838-0.933, < 0.0001),特异性和灵敏度分别为 77.7%和 90.9%。使用糖皮质激素、中性粒细胞计数和 PCT 的 AUC 用于 NIMV 为 0.888(95%置信区间 0.825-0.952, < 0.0001),特异性和灵敏度分别为 70.3%和 96.4%。

结论

糖皮质激素、中性粒细胞和 LDH 是有创机械通气的预测指标,而糖皮质激素、中性粒细胞和 PCT 是无创机械通气的预测指标。此外,当联合使用上述介质时,它们对机械通气具有最具预测意义。

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