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Published on: February 16, 2022
Evaluation of biochemical characteristics of 183 COVID-19 patients: A retrospective study
Seyed Mostafa Mir1, Alireza Tahamtan2,3, Hadi Razavi Nikoo2,3
1Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Insights
Biochemical markers like lactate dehydrogenase (LDH), urea, creatinine, and creatine kinase are elevated in COVID-19 patients. Higher LDH levels are linked to increased mortality, suggesting their utility in predicting COVID-19 outcomes.
Area of Science:
- Medical biochemistry
- Infectious diseases
- Clinical diagnostics
Background:
- Coronavirus disease 2019 (COVID-19) presents a significant global health challenge with high mortality.
- Understanding prognostic indicators is crucial for managing patient outcomes and healthcare burdens.
Purpose of the Study:
- To evaluate the association between biochemical parameters and COVID-19 patient outcomes.
- To identify specific biochemical markers predictive of mortality in COVID-19.
Main Methods:
- Retrospective analysis of 183 COVID-19 patients (March-September 2020).
- Collected demographic data and biochemical parameters: urea, creatinine (Cr), lactate dehydrogenase (LDH), and creatine kinase (CK).
- Categorized patients into survival (n=120) and death (n=63) groups based on outcomes.
Main Results:
- Elevated mean levels of urea, Cr, CK, and LDH were observed in COVID-19 patients compared to reference intervals (P<0.0001).
- Higher mortality rates were associated with LDH levels ≥280 U/L.
- 65.5% of patients recovered, while 34.4% died.
Conclusions:
- Biochemical parameters, particularly LDH, are valuable in assessing dynamic changes in COVID-19 patients.
- These markers can aid in the evaluation and prediction of COVID-19 patient outcomes.
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.
