Evaluation of biochemical characteristics of 183 COVID-19 patients: A retrospective study

Seyed Mostafa Mir; Alireza Tahamtan; Hadi Razavi Nikoo; Mehdi Sheikh Arabi; Abdul Wahab Moradi; Saeed Ardakanian; Alijan Tabarraei

doi:10.1016/j.genrep.2021.101448

Evaluation of biochemical characteristics of 183 COVID-19 patients: A retrospective study

Gene Rep. 2022 Mar:26:101448. doi: 10.1016/j.genrep.2021.101448. Epub 2021 Nov 27.

Authors

Seyed Mostafa Mir¹, Alireza Tahamtan^{2

3}, Hadi Razavi Nikoo^{2

3}, Mehdi Sheikh Arabi⁴, Abdul Wahab Moradi^{2

3}, Saeed Ardakanian¹, Alijan Tabarraei^{2

3}

Affiliations

¹ Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
² Infectious Diseases Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.
³ Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
⁴ Medical Cellular and Molecular Research Center, Golestan University of Medical Sciences, Gorgan, Iran.

Abstract

Introduction and aim: 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.

Materials and methods: 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 [n = 63] and survival [n = 120] groups), and the biochemical parameters and outcomes of COVID-19 were analyzed.

Results: 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 t-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).

Conclusions: 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.

Keywords: Biochemical parameters; COVID-19; Golestan.