Mir Seyed Mostafa, Tahamtan Alireza, Nikoo Hadi Razavi, Arabi Mehdi Sheikh, Moradi Abdul Wahab, Ardakanian Saeed, Tabarraei Alijan
Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Infectious Diseases Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.
Gene Rep. 2022 Mar;26:101448. doi: 10.1016/j.genrep.2021.101448. Epub 2021 Nov 27.
Coronavirus disease 2019 (COVID-19), with a high mortality rate, has caught the eyes of researchers worldwide and placed a heavy burden on the health care system. Accordingly, this study aimed to evaluate the values of biochemical parameters on the outcomes of COVID-19 patients in Golestan, Iran.
This retrospective study was conducted on 183 COVID-19 patients (i.e., 94 males and 89 females) between March and September 2020. The biochemical parameters and demographic data of the patients (including age, sex, urea, creatinine [Cr], lactate dehydrogenase [LDH], and creatine kinase [CK]) were obtained from electrical medical records. According to the outcome of COVID-19, the patients were categorized into two groups (i.e., death [ = 63] and survival [ = 120] groups), and the biochemical parameters and outcomes of COVID-19 were analyzed.
Of the 183 patients, 120 (65.5%) had a non-severe type and recovered from COVID-19, and 63 (34.4%) developed into a critically severe type and died. The mean age of all patients was 56.5 years old. The highest mortality was observed in patients with LDH ≥280. The data obtained by the one-sample test showed that there were significantly higher mean values of urea, Cr, CK, and LDH in COVID-19 patients when compared to their reference intervals (P˂0.0001 for all).
Some biochemical parameters are effective in the evaluation of dynamic variations in COVID-19 patients. It can be concluded from the results that biochemical parameters and reinforce LDH may be useful for the evaluation of the COVID-19 outcome.
2019年冠状病毒病(COVID-19)死亡率高,已引起全球研究人员的关注,并给医疗保健系统带来沉重负担。因此,本研究旨在评估伊朗戈勒斯坦省COVID-19患者生化参数对其预后的价值。
本回顾性研究于2020年3月至9月对183例COVID-19患者(94例男性和89例女性)进行。患者的生化参数和人口统计学数据(包括年龄、性别、尿素、肌酐[Cr]、乳酸脱氢酶[LDH]和肌酸激酶[CK])从电子病历中获取。根据COVID-19的预后,将患者分为两组(即死亡组[ = 63例]和存活组[ = 120例]),并分析COVID-19的生化参数和预后。
183例患者中,120例(65.5%)为非重症类型并从COVID-19中康复,63例(34.4%)发展为危重症类型并死亡。所有患者的平均年龄为56.5岁。LDH≥280的患者死亡率最高。单样本检验获得的数据显示,COVID-19患者的尿素、Cr、CK和LDH的平均值显著高于其参考区间(所有P˂0.0001)。
一些生化参数对评估COVID-19患者的动态变化有效。从结果可以得出,生化参数和强化LDH可能有助于评估COVID-19的预后。