Immunoregulation، جلد ۴، شماره ۲، صفحات ۱۱۷-۱۲۷

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عنوان انگلیسی Routine Laboratory Parameters as a Tool for Predicting Death in Patients With COVID-19
چکیده انگلیسی مقاله Background: The complexity of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) makes the clinical course of the disease develop rapidly, causing severe and deadly complications. Identifying effective laboratory biomarkers able to predicting patients based on their risk. This study aimed to look for those serobiomarkers in hospitalized patients with Coronavirus Disease 2019 (COVID‐19).
Materials and Methods: In this retrospective observational study, 114 patients with COVID-19,
admitted to Valian hospital in Aligudarz, City, Iran from October to December 2020 were examined. The disease outcome was followed along with the hospital course of every patient at the time of analysis. Laboratory investigations of all patients were monitored at the time of admission. A comparative analysis was done between the survivors (n=73) and non-survivors (n=41). Statistical analysis was conducted using SPSS.
Results: Of the 114 patients, 40.4% (n=41) were non-survivor, and there were significant differences in Hemoglobin (Hb), Hematocrit (Hct), Platelet (PLT), Alkaline Phosphatase (ALP), Total Bilirubin, Fasting Blood Suger (FBS), Total Iron-Binding Capacity (TIBC), Lactate Dehydrogenase (LDH), Blood Urea Nitrogen (BUN), Creatinine (Cr), Albumin (ALB), and C-Reactive Protein (CRP) between survivors and non-survivors.
Conclusion: The laboratory parameters have fundamental roles in poor prognosis and mortality prediction rated among patients with COVID-19 in the first admission. Thus, it is highly recommended to collaborate among hematologists, health managers, and clinical especialists.
کلیدواژه‌های انگلیسی مقاله Biomarker, Coronavirsu Disease 2019 (COVID‐19), Laboratory test, Mortality, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), Survival, Pandemic, Prognosis

نویسندگان مقاله Atefeh Soltani |
Department of Medical Sciences, Aligudarz Branch, Islamic Azad University, Aligudarz, Iran.

Maryam Eskandari Mehrabadi |
Department of Biology, School of Basic Sciences, Shahrekord University, Shahrekord, Iran.

Shima Sheikhi |
Department of Immunology, School of Medical Sciences, Shahed University, Tehran, Iran.

Marjan Faghih |
Department of Biostatistics, School of Medicine, Arak University of Medical Sciences, Arak, Iran.

Mohsen Abdolmaleki |
Department of Medical Sciences, Aligudarz Branch, Islamic Azad University, Aligudarz, Iran.


نشانی اینترنتی https://immunoreg.shahed.ac.ir/article_3610_912a6da9329acf9d7c3411da6364755f.pdf
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