Ataee Zahra, Rahmani Fard Ali, Amel Jamehdar Saeid, Khadem-Rezaiyan Majid, Ziaee Maliheh
Department of Internal Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences, Mashhad, Iran.
Med J Islam Repub Iran. 2023 Jun 14;37:67. doi: 10.47176/mjiri.37.67. eCollection 2023.
Coronavirus disease 2019 (COVID-19) viral load determined from the cycle threshold (CT) values may be a marker of disease severity and predict disease progression. Our study aimed to investigate the relationship between SARS-CoV-19 cycle thresholds or viral load, laboratory markers, and patient prognosis.
Patients who were admitted to Imam Reza Hospital at Mashhad University of Medical Sciences between March 2020 and March 2021 and had COVID-19 polymerase chain reaction (PCR)-confirmed at random were included in this cross-sectional study. Patients were randomly selected from those who tested positive on nasopharyngeal and oropharyngeal reverse transcription-PCR samples. The inclusion criteria were all patients older than 16 years with positive COVID-19 PCR results. Samples with Ct values of ≤36 were considered positive for SARS-CoV-2 RNA. Patients who did not have laboratory markers were excluded. We used SPSS Version 16 (Pearson correlation, analysis of variance, and logistic regression tests) to analyze the data. A ≤ 0.05 was considered statistically significant.
In our study, serum lactate dehydrogenase and aspartate aminotransferase were found to be laboratory biomarkers inversely correlated with COVID-19 Ct values, indicating higher viral load (r = -0.14; = 0.024 and r = -0.12; = 0.053, respectively). Also, the platelet count is lower in patients with higher viral loads (r = 0.18; < 0.001). However, we found no correlation between the viral load and some laboratory biomarkers such as ferritin, white blood cell and lymphocyte count, alanine transaminase, and c-reactive protein ( > 0.05). The patient's length of hospital stay was not correlated with their viral load ( > 0.05).
The COVID-19 viral load has been linked to some laboratory indicators and may be used to predict patient death. These discoveries might help in the treatment of COVID-19 disease.
根据循环阈值（CT）值确定的2019冠状病毒病（COVID-19）病毒载量可能是疾病严重程度的标志物，并可预测疾病进展。我们的研究旨在调查严重急性呼吸综合征冠状病毒2（SARS-CoV-2）循环阈值或病毒载量、实验室指标与患者预后之间的关系。
本横断面研究纳入了2020年3月至2021年3月期间在马什哈德医科大学伊玛目礼萨医院住院且COVID-19聚合酶链反应（PCR）随机确诊的患者。患者从鼻咽和口咽逆转录PCR检测呈阳性的患者中随机选取。纳入标准为所有16岁以上COVID-19 PCR结果呈阳性的患者。Ct值≤36的样本被视为SARS-CoV-2 RNA阳性。没有实验室指标的患者被排除。我们使用SPSS 16版（Pearson相关性分析、方差分析和逻辑回归检验）来分析数据。P≤0.05被认为具有统计学意义。
在我们的研究中，发现血清乳酸脱氢酶和天冬氨酸转氨酶是与COVID-19 Ct值呈负相关的实验室生物标志物，表明病毒载量较高（分别为r = -0.14；P = 0.024和r = -0.12；P = 0.053）。此外，病毒载量较高的患者血小板计数较低（r = 0.18；P < 0.001）。然而，我们发现病毒载量与一些实验室生物标志物如铁蛋白、白细胞和淋巴细胞计数、丙氨酸转氨酶和C反应蛋白之间没有相关性（P > 0.05）。患者的住院时间与病毒载量无关（P > 0.05）。
COVID-19病毒载量与一些实验室指标有关，可用于预测患者死亡。这些发现可能有助于COVID-19疾病的治疗。
