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新冠肺炎患者 D-二聚体和中性粒细胞-淋巴细胞比值的动态变化作为预后生物标志物。

Dynamic changes of D-dimer and neutrophil-lymphocyte count ratio as prognostic biomarkers in COVID-19.

机构信息

Department of Respiratory Medicine, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China.

Department of Tuberculosis ward 2, Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China.

出版信息

Respir Res. 2020 Jul 3;21(1):169. doi: 10.1186/s12931-020-01428-7.

Abstract

BACKGROUND

Since December 2019, the outbreak of COVID-19 caused a large number of hospital admissions in China. Many patients with COVID-19 have symptoms of acute respiratory distress syndrome, even are in danger of death. This is the first study to evaluate dynamic changes of D-Dimer and Neutrophil-Lymphocyte Count Ratio (NLR) as a prognostic utility in patients with COVID-19 for clinical use.

METHODS

In a retrospective study, we collected data from 349 hospitalized patients who diagnosed as the infection of the COVID-19 in Wuhan Pulmonary Hospital. We used ROC curves and Cox regression analysis to explore critical value (optimal cut-off point associated with Youden index) and prognostic role of dynamic changes of D-Dimer and NLR.

RESULTS

Three hundred forty-nine participants were enrolled in this study and the mortality rate of the patients with laboratory diagnosed COVID-19 was 14.9%. The initial and peak value of D-Dimer and NLR in deceased patients were higher statistically compared with survivors (P < 0.001). There was a more significant upward trend of D-Dimer and NLR during hospitalization in the deceased patients, initial D-Dimer and NLR were lower than the peak tests (MD) -25.23, 95% CI: - 31.81- -18.64, P < 0.001; (MD) -43.73, 95% CI:-59.28- -31.17, P < 0.001. The test showed a stronger correlation between hospitalization days, PCT and peak D-Dimer than initial D-Dimer. The areas under the ROC curves of peak D-Dimer and peak NLR tests were higher than the initial tests (0.94(95%CI: 0.90-0.98) vs. 0.80 (95% CI: 0.73-0.87); 0.93 (95%CI:0.90-0.96) vs. 0.86 (95%CI:0.82-0.91). The critical value of initial D-Dimer, peak D-Dimer, initial NLR and peak NLR was 0.73 mg/L, 3.78 mg/L,7.13 and 14.31 respectively. 35 (10.03%) patients were intubated. In the intubated patients, initial and peak D-Dimer and NLR were much higher than non-intubated patients (P < 0.001). The critical value of initial D-Dimer, peak D-Dimer, initial NLR and peak NLR in prognosticate of intubation was 0.73 mg/L, 12.75 mg/L,7.28 and 27.55. The multivariable Cox regression analysis showed that age (HR 1.04, 95% CI 1.00-1.07, P = 0.01), the peak D-Dimer (HR 1.03, 95% CI 1.01-1.04, P < 0.001) were prognostic factors for COVID-19 patients' death.

CONCLUSIONS

To dynamically observe the ratio of D-Dimer and NLR was more valuable during the prognosis of COVID-19. The rising trend in D-Dimer and NLR, or the test results higher than the critical values may indicate a risk of death for participants with COVID-19.

摘要

背景

自 2019 年 12 月以来,COVID-19 的爆发导致中国大量住院。许多 COVID-19 患者有急性呼吸窘迫综合征的症状,甚至有死亡的危险。这是第一项评估 D-二聚体和中性粒细胞与淋巴细胞计数比值(NLR)在 COVID-19 患者中的预后价值的研究,以便临床应用。

方法

在一项回顾性研究中,我们收集了 349 名在武汉肺科医院诊断为 COVID-19 感染的住院患者的数据。我们使用 ROC 曲线和 Cox 回归分析来探讨 D-二聚体和 NLR 动态变化的临界值(与 Youden 指数相关的最佳截断点)和预后作用。

结果

本研究共纳入 349 名参与者,实验室确诊的 COVID-19 患者死亡率为 14.9%。死亡患者的初始和峰值 D-二聚体和 NLR 值明显高于存活患者(P<0.001)。死亡患者在住院期间 D-二聚体和 NLR 呈更显著的上升趋势,初始 D-二聚体和 NLR 值低于峰值检测值(MD)-25.23,95%CI:-31.81- -18.64,P<0.001;(MD)-43.73,95%CI:-59.28- -31.17,P<0.001。检测结果显示,D-二聚体和峰值检测与住院天数、PCT 的相关性比初始检测更强。峰值 D-二聚体和峰值 NLR 检测的 ROC 曲线下面积均高于初始检测(0.94(95%CI:0.90-0.98)vs. 0.80(95%CI:0.73-0.87);0.93(95%CI:0.90-0.96)vs. 0.86(95%CI:0.82-0.91)。初始 D-二聚体、峰值 D-二聚体、初始 NLR 和峰值 NLR 的临界值分别为 0.73mg/L、3.78mg/L、7.13 和 14.31。35(10.03%)名患者需要插管。在插管患者中,初始和峰值 D-二聚体和 NLR 值明显高于非插管患者(P<0.001)。插管患者中,初始 D-二聚体、峰值 D-二聚体、初始 NLR 和 NLR 预测插管的临界值分别为 0.73mg/L、12.75mg/L、7.28 和 27.55。多变量 Cox 回归分析表明,年龄(HR 1.04,95%CI 1.00-1.07,P=0.01)和峰值 D-二聚体(HR 1.03,95%CI 1.01-1.04,P<0.001)是 COVID-19 患者死亡的预后因素。

结论

动态观察 D-二聚体和 NLR 比值对 COVID-19 的预后更有价值。D-二聚体和 NLR 的上升趋势,或检测结果高于临界值,可能提示 COVID-19 患者死亡的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e197/7333400/ee5d00a0a5fd/12931_2020_1428_Fig1_HTML.jpg

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