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NeuroQuantology ; 20(10):10757-10764, 2022.
Article in English | EMBASE | ID: covidwho-2090994

ABSTRACT

Introduction: With a high fatality rate, the coronavirus disease of 2019 (COVID-19) has drawn the attention of researchers from all over the world and put a significant strain on the healthcare system. The goal of this article was to evaluate;how COVID-19 patients were affected by biochemical parameter levels, at Mayo Hospital Lahore, Pakistan. Methodology: Between June and December 2020, this retrospective analysis on 150 COVID-19 patients-82 men and 68 women-was carried out. The patients' biochemical measures and demographic data, such as gender, age, urea, LDH (lactate dehydrogenase), Cr (creatinine), and CK (creatine kinase), were gathered via electrical medical records. Based on the COVID-19 results, two groups were made the patients were divided as (death (survival = 98 and Death = 52), and the COVID-19 biochemical parameters and results were studied. Result(s):93 (62%) of the 150 patients had a mild type of COVID-19 and recovered, while 57 (38%) acquired a severely severe type and passed away. All patients were an average age of 56 years old. The patients with LDH levels above 290 had the highest mortality. The average values of CK, Cr, urea, and LDH were calculated with the help of one-sample t-test and the results depicted that, in COVID-19 patients, the values of such variables are significantly higher than the corresponding reference intervals at P value 0.0001 for all biochemical factors. Conclusion(s): In order to assess dynamic fluctuations in COVID-19 patients, some biochemical measures are useful. The findings suggest that LDH reinforcement and metabolic measures may be helpful in assessing COVID-19 consequences. Copyright © 2022, Anka Publishers. All rights reserved.

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