التفاصيل البيبلوغرافية
| العنوان: |
Hematological and Biochemical Laboratory Parameters in COVID-19 Patients: A Retrospective Modeling Study of Severity and Mortality Predictors. |
| المؤلفون: |
Alizad, Ghazaleh, Ayatollahi, Ali Asghar, Shariati Samani, Armin, Samadizadeh, Saeed, Aghcheli, Bahman, Rajabi, Abdolhalim, Nakstad, Britt, Tahamtan, Alireza |
| المصدر: |
BioMed Research International; 11/18/2023, p1-13, 13p |
| مصطلحات موضوعية: |
BIOMARKERS, BIOCHEMISTRY, COVID-19, HEMOGLOBINS, HEMATOCRIT, BLOOD urea nitrogen, CONVALESCENCE, AGE distribution, LEUCOCYTES, BLOOD platelets, RETROSPECTIVE studies, ACQUISITION of data, SEVERITY of illness index, HOSPITAL mortality, RISK assessment, COMPARATIVE studies, NEUTROPHIL lymphocyte ratio, MEDICAL records, BLOOD sedimentation, HOSPITAL care, LACTATE dehydrogenase, RESEARCH funding, PREDICTION models, BLOOD testing, ERYTHROCYTES, LOGISTIC regression analysis, INTERNATIONAL normalized ratio, CREATININE, EVALUATION |
| مصطلحات جغرافية: |
IRAN |
| مستخلص: |
Background. It is well known that laboratory markers could help in identifying risk factors of severe illness and predicting outcomes of diseases. Here, we performed a retrospective modeling study of severity and mortality predictors of hematological and biochemical laboratory parameters in Iranian COVID-19 patients. Methods. Data were obtained retrospectively from medical records of 564 confirmed Iranian COVID-19 cases. According to the disease severity, the patients were categorized into two groups (severe or nonsevere), and based on the outcome of the disease, patients were divided into two groups (recovered or deceased). Demographic and laboratory data were compared between groups, and statistical analyses were performed to define predictors of disease severity and mortality in the patients. Results. The study identified a panel of hematological and biochemical markers associated with the severe outcome of COVID-19 and constructed different predictive models for severity and mortality. The disease severity and mortality rate were significantly higher in elderly inpatients, whereas gender was not a determining factor of the clinical outcome. Age-adjusted white blood cells (WBC), platelet cells (PLT), neutrophil-to-lymphocyte ratio (NLR), red blood cells (RBC), hemoglobin (HGB), hematocrit (HCT), erythrocyte sedimentation rate (ESR), mean corpuscular hemoglobin (MCHC), blood urea nitrogen (BUN), and creatinine (Cr) also showed high accuracy in predicting severe cases at the time of hospitalization, and logistic regression analysis suggested grouped hematological parameters (age, WBC, NLR, PLT, HGB, and international normalized ratio (INR)) and biochemical markers (age, BUN, and lactate dehydrogenase (LDH)) as the best models of combined laboratory predictors for severity and mortality. Conclusion. The findings suggest that a panel of several routine laboratory parameters recorded on admission could be helpful for clinicians to predict and evaluate the risk of disease severity and mortality in COVID-19 patients. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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