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]
  1. [1] MSc. Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931-166, Jordan.
  2. [2] PhD, MSc, PharmD. Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931-166, Jordan.
  3. [3] PhD. Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931-166, Jordan.
  4. [4] PharmD. Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931-166, Jordan
  5. [5] Pharmacist. Al-Rayhan Medical Center, Amman, Jordan
  6. [6] PhD, BPharm. Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931-166, Jordan.

  Mostrar afiliaciones +
• Localización: Pharmacy Practice (Granada), ISSN-e 1886-3655, Vol. 20, Nº. 3, 2022 (Ejemplar dedicado a: Jul-Sep)
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • 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.