Hematological and Biochemical Laboratory Parameters in COVID-19 Patients: A Retrospective Modeling Study of Severity and Mortality Predictors

被引:2
|
作者
Alizad, Ghazaleh [1 ]
Ayatollahi, Ali Asghar [2 ]
Samani, Armin Shariati [3 ]
Samadizadeh, Saeed [4 ]
Aghcheli, Bahman [4 ]
Rajabi, Abdolhalim [5 ]
Nakstad, Britt [6 ,7 ]
Tahamtan, Alireza [3 ,8 ]
机构
[1] Golestan Univ Med Sci, Fac Med, Dept Immunol, Gorgan, Iran
[2] Golestan Univ Med Sci, Lab Sci Res Ctr, Gorgan, Iran
[3] Golestan Univ Med Sci, Sch Int, Gorgan, Iran
[4] Golestan Univ Med Sci, Fac Med, Dept Microbiol, Gorgan, Iran
[5] Golestan Univ Med Sci, Fac Hlth, Environm Hlth Res Ctr, Biostat & Epidemiol Dept, Gorgan, Iran
[6] Univ Oslo, Div Paediat & Adolescent Med, Oslo, Norway
[7] Univ Botswana, Dept Paediat & Adolescent Hlth, Gaborone, Botswana
[8] Golestan Univ Med Sci, Infect Dis Res Ctr, Gorgan, Iran
基金
芬兰科学院;
关键词
CORONAVIRUS DISEASE 2019; ERYTHROCYTE SEDIMENTATION-RATE;
D O I
10.1155/2023/7753631
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
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页数:13
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