入院时血小板分布宽度和d -二聚体升高可预测COVID-19患者ARDS的后续发展。

Iviana P Yovchevska, Alexandar B Trenovski, Maria H Atanasova, Martin N Georgiev, Radka K Tafradjiiska-Hadjiolova, Simeon D Lazarov, Plamen H Yovchevski
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引用次数: 3

摘要

在当前新型冠状病毒病(COVID-19)大流行的背景下,对重症感染的住院患者进行急性呼吸窘迫综合征(ARDS)发展高危人群的识别,对于确定合适的治疗策略具有重要意义。回顾性分析493例重症COVID-19患者入院时的实验室记录,分为1组合并ARDS和2组未合并ARDS。1组与2组血小板分布宽度(PDW)差异显著,发生ARDS者为15.10±2.08 fl,无ARDS者为12.94±2.12 fl。该参数的灵敏度和特异性均低于d -二聚体。将PDW值分组成区间,并与d-二聚体的增长率(D-PDWf指数)结合形成预测指标后,发现两个参数的特异性和敏感性均有显著提高,D-PDWf指数的ROC曲线下面积(AUC)为0.874,PDW的AUC为0.768,d-二聚体的AUC为0.777。结论:PDW是患者入院时ARDS后续发展的重要预测参数,且随着d -二聚体升高程度的增加,其预测意义增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients.

Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients.

Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients.

Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients.

In the current pandemic of coronavirus disease (COVID-19), the identification of the patients admitted with severe infection-who are disposed to a high risk of acute respiratory distress syndrome (ARDS) development, is of a major significance for the determination of the appropriate therapeutic strategy. Laboratory records in admission were retrospectively reviewed from 493 cases of severe COVID-19 divided into two groups: Group 1 with ARDS and Group 2 without ARDS. The platelet distribution width (PDW) difference between Group 1 and Group 2 is significant-15.10 ± 2.08 fl for those who developed ARDS versus 12.94 ± 2.12 fl for those without ARDS. The sensitivity and the specificity of this parameter is lower than that of D-dimer. After grouping of the PDW values into intervals and combining them with the rate of increase in D-dimer (D-PDWf index) to form a forecasting index, a significant increase in the specificity and sensitivity of the two parameters is identified-area under the ROC curve (AUC) is 0.874 for D-PDWf index, with respective AUC for PDW 0.768 and AUC for D-dimer 0.777. Conclusion: PDW is a significant predictive parameter at admission for subsequent development of ARDS in patients, with increased significance in combination with the degree of increase in D-dimer.

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