Haematology Department, Hospital de la Santa Creu i Sant Pau, Sant Pau Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain.
Lab Med. 2021 Mar 15;52(2):141-145. doi: 10.1093/labmed/lmaa105.
Early detection of patients with COVID-19 who will need mechanical invasive ventilation (MIV) may aid in delivering proper care and optimizing the use of limited resources.
In this single-center retrospective observational study, we aimed to identify simple laboratory parameters that in combination with ferritin (a surrogate marker of severe inflammation) may help predict early (first 48 hours) MIV. A total of 160 patients with COVID-19 in whom serum ferritin, absolute lymphocyte count (ALC), platelet count, C-reactive protein (CRP), and lactate dehydrogenase (LDH) had been analyzed at admission were included.
We found that ferritin, LDH, ALC, and CRP predicted with 88% accuracy the probability of early MIV. Results indicated that LDH showed the greater area under the curve (AUC), with a value of 89.1%. Using the AUC, we established cutoff values for clinical application. Finally, we developed a classification tree based on LDH for its clinical use.
Ferritin, LDH, ALC, and CRP predict with 88% accuracy the probability of early MIV.
早期检测需要机械通气(MIV)的 COVID-19 患者可能有助于提供适当的护理和优化有限资源的使用。
在这项单中心回顾性观察性研究中,我们旨在确定简单的实验室参数,这些参数与铁蛋白(严重炎症的替代标志物)结合使用,可能有助于预测早期(前 48 小时)MIV。共纳入 160 名 COVID-19 患者,他们在入院时分析了血清铁蛋白、绝对淋巴细胞计数(ALC)、血小板计数、C 反应蛋白(CRP)和乳酸脱氢酶(LDH)。
我们发现铁蛋白、LDH、ALC 和 CRP 以 88%的准确度预测了早期 MIV 的概率。结果表明,LDH 的曲线下面积(AUC)更大,为 89.1%。使用 AUC,我们确定了用于临床应用的截断值。最后,我们基于 LDH 开发了一个分类树,用于其临床应用。
铁蛋白、LDH、ALC 和 CRP 以 88%的准确度预测了早期 MIV 的概率。