Mardani Rajab, Ahmadi Vasmehjani Abbas, Zali Fatemeh, Gholami Alireza, Mousavi Nasab Seyed Dawood, Kaghazian Hooman, Kaviani Mehdi, Ahmadi Nayebali
Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran.
Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Arch Acad Emerg Med. 2020 Apr 4;8(1):e43. eCollection 2020.
The role of laboratory parameters in screening of COVID-19 cases has not been definitely established. This study aimed to evaluate the accuracy of laboratory parameters in predicting cases with positive RT-PCR for COVID-19.
This diagnostic accuracy study was conducted on suspected COVID-19 patients, who presented to Behpooyan Clinic Medical center in Tehran (Iran) from 22 February to 14 March, 2020. Patients were divided into two groups based on the results of real time reverse transcriptase-polymerase chain reaction (RT-PCR) for COVID-19, and the accuracy of different laboratory parameters in predicting cases with positive RT-PCR was evaluated using area under the ROC curve (AUC).
Two hundred cases with the mean age of 41.3± 14.6 (range: 19-78) years were studied (0.53% male). The result of RT-PCR for COVID-19 was positive in 70 (35%) cases. Patients with positive RT-PCR had significantly higher neutrophil (NEU) count (p = 0.0001), and C-reactive protein (CRP) (p = 0.04), lactate dehydrogenase (LDH) (p = 0.0001), aspartate aminotransferase (AST) (p = 0.001), alanine aminotransferase (ALT) (p = 0.0001), and Urea (p = 0.001) levels in serum. In addition, patients with positive RT-PCR had lower white blood cell (WBC) count (p = 0.0001) and serum albumin level (p = 0.0001) compared to others. ALT (AUC = 0.879), CRP (AUC = 0.870), NEU (AUC = 0.858), LDH (AUC = 0.835), and Urea (AUC = 0.835) had very good accuracy in predicting cases with positive RT-PCR for COVID-19, respectively.
Our findings suggest that level of LDH, CRP, ALT and NEU can be used to predict the result of COVID-19 test. They can help in detection of COVID-19 patients.
实验室参数在新冠病毒病（COVID-19）病例筛查中的作用尚未明确确立。本研究旨在评估实验室参数预测COVID-19逆转录聚合酶链反应（RT-PCR）阳性病例的准确性。
本诊断准确性研究针对2020年2月22日至3月14日在德黑兰（伊朗）贝赫布扬诊所医疗中心就诊的疑似COVID-19患者进行。根据COVID-19实时逆转录聚合酶链反应（RT-PCR）结果将患者分为两组，并使用ROC曲线下面积（AUC）评估不同实验室参数预测RT-PCR阳性病例的准确性。
共研究了200例患者，平均年龄为41.3±14.6（范围：19 - 78）岁（男性占0.53%）。COVID-19的RT-PCR结果在70例（35%）患者中呈阳性。RT-PCR阳性患者的中性粒细胞（NEU）计数（p = 0.0001）、C反应蛋白（CRP）（p = 0.04）、乳酸脱氢酶（LDH）（p = 0.0001）、天冬氨酸转氨酶（AST）（p = 0.001）、丙氨酸转氨酶（ALT）（p = 0.0001）和血清尿素水平（p = 0.001）显著更高。此外，与其他患者相比，RT-PCR阳性患者的白细胞（WBC）计数（p = 0.0001）和血清白蛋白水平（p = 0.0001）更低。ALT（AUC = 0.879）、CRP（AUC = 0.870）、NEU（AUC = 0.858）、LDH（AUC = 0.835）和尿素（AUC = 0.835）在预测COVID-19的RT-PCR阳性病例方面分别具有非常好的准确性。
我们的研究结果表明，LDH、CRP、ALT和NEU水平可用于预测COVID-19检测结果。它们有助于COVID-19患者的检测。
