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. 2022 Jul-Sep;20(3):2721.
doi: 10.18549/PharmPract.2022.3.2721. Epub 2022 Sep 9.

Using laboratory parameters as predictors for the severity and mortality of COVID-19 in hospitalized patients

Mustafa Al-Shajlawi  1 , Ahmad R Alsayed  2 , Husam Abazid  3 , Dima Awajan  4 , Amniyah Al-Imam  5 , Iman Basheti  6
Affiliations

Using laboratory parameters as predictors for the severity and mortality of COVID-19 in hospitalized patients

Mustafa Al-Shajlawi et al. Pharm Pract (Granada). 2022 Jul-Sep.

Abstract

Objective: The aim of this study was to explore association of initial laboratory parameters of hospitalized patients with COVID-19, with the severity and death incident.

Methods: In this retrospective study, patients were classified based on mortality outcome (survivor and non-survivor) and disease severity (non-severe, severe, and critical). The initial laboratory data (within the first two days of hospital admission) were compared between these categories.

Results: Of 362 COVID-19 patients hospitalized between January-2021 and May-2021, 39.0% were non-severe, 32.2% severe, and 28.7% critical. 77.3% were lived and 22.7% died in hospital. Non-survivors were significantly older than survivors. There was a statistically significant association between exceeding the cut-points of laboratory parameters and the severity of the disease or even death. These laboratory parameters included D-dimer, C-reactive protein, prothrombin time, ferritin, white blood cells, neutrophil count, aspartate aminotransferase, creatinine, blood urea nitrogen, lymphocyte count, and albumin. Also, exceeding the cut-points of these parameters showed high odds of death. The highest odds ratio was reported for albumin <3.5 g/dL (OR=14.318 [4.784-42.851], p<0.001).

Conclusion: The cut-points of the laboratory parameters could effectively be used as predictors to assess the severity and risk of death to improve the management of COVID-19 patients.

Keywords: COVID-19; Jordan; hospitalized patients; laboratory parameters; mortality; predictors; severity.

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References

    1. 1. Park M, Cook AR, Lim JT, et al. A Systematic Review of COVID-19 Epidemiology Based on Current Evidence. 2020;9(4):967. https://doi.org/10.3390/jcm9040967 - PMC - PubMed
    2. Park M, Cook AR, Lim JT, et al. A Systematic Review of COVID-19 Epidemiology Based on Current Evidence. 2020;9(4):967. doi: 10.3390/jcm9040967. - DOI - PMC - PubMed
    1. 2. Viruses CSGotICoTo. The species Severe acute respiratory syndrome-related coronavirus:classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiology. 2020;5(4):536-544. https://doi.org/10.1038/s41564-020-0695-z - PMC - PubMed
    2. Viruses CSGotICoTo. The species Severe acute respiratory syndrome-related coronavirus:classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiology. 2020;5(4):536–544. doi: 10.1038/s41564-020-0695-z. - DOI - PMC - PubMed
    1. 3. Liao D, Zhou F, Luo L, et al. Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19:a retrospective cohort study. The Lancet. Haematology. 2020;7(9):e671-e678. https://doi.org/10.1016/S2352-3026(20)30217-9 - PMC - PubMed
    2. Liao D, Zhou F, Luo L, et al. Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19:a retrospective cohort study. The Lancet. Haematology. 2020;7(9):e671–e678. doi: 10.1016/S2352-3026(20)30217-9. - DOI - PMC - PubMed
    1. 4. WHO. Living guidance for clinical management of COVID-19. Vol March 1, 2022. World Health Organization (WHO). 2021.
    2. WHO. Living guidance for clinical management of COVID-19. Vol March 1, 2022. World Health Organization (WHO); 2021.
    1. 5. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England). 2020;395(10223):497-506. https://doi.org/10.1016/S0140-6736(20)30183-5 - PMC - PubMed
    2. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England) 2020;395(10223):497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed

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