Comparative analysis of clinical and biological characteristics of COVID-19 patients: A retrospective cohort study

被引:2
作者
Yahyaoui, Abir [1 ,2 ]
Amrani, Abdessamad [1 ,2 ]
Idrissi, Amjad [1 ,2 ]
Belmahi, Sabrina [1 ,2 ]
Nassiri, Oumaima [1 ,2 ]
Mouhoub, Boutaina [1 ,2 ]
Sebbar, Elhoucine [1 ,2 ]
Hamaz, Siham [1 ,2 ,3 ]
Choukri, Mohammed [1 ,2 ]
机构
[1] Mohammed VI Univ Hosp, Cent Lab, Oujda, Morocco
[2] Mohammed First Univ, Fac Med & Pharm Oujda, Oujda, Morocco
[3] Mohammed VI Univ Hosp, Infect Dis Immunohematol & Cellular Therapy Lab, Oujda, Morocco
来源
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH | 2023年 / 19卷
关键词
Biomarkers; COVID-19; Risk factor; SARS-CoV-2; Severe group; RESPIRATORY SYNDROME CORONAVIRUS; DISEASE;
D O I
10.1016/j.cegh.2022.101184
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Coronavirus disease (COVID-19), caused by a betacoronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly evolved into a pandemic since it was first reported in December 2019. thus, SARS-CoV-2 has become a major global public health issue. Objective: The objective of this work is to compare demographics, comorbidities, clinical symptoms, biology and imaging findings between severe and non-severe COVID-19 patients and to identify clinical and biological risk factors and biomarkers for the development of severe COVID-19 as well as predictive thresholds for severity in order to best rationalize management and decrease the morbidity and mortality caused by this condition. Patients and methods: This is a single-center retrospective study, from June 25 to December 31, 2021, on 521 patients at the level of the unit COVID-19 of the central laboratory of the Mohammed VI University Hospital Center Oujda, then classified into two groups according to the severity of the disease. Results: Out of a total of 521 patients, a severe group including 336 cases (64.5%) and a non-severe group with 185 cases (35.5%). Hypertension, diabetes and obesity were noted in the majority of patients. Severe COVID-19 cases had higher C-reactive protein, procalcitonin, D-dimer, ferritin, elevated white blood cell count, and lower lymphocyte count than non-severe cases with a significant difference between the two groups. The areas under the curve (AUC) for C-reactive protein, procalcitonin and D-dimer were 0.886, 0.708, and 0.736 respectively. The optimal thresholds predictive of severity were 105 mg/l for C-reactive protein, 0.13 ng/ml for procalcitonin, 7420/mu l for white blood cell count, and 0.55 mg/l for D-dimer. Conclusion: Comparison of the proportion of clinical, biological and radiological data between severe and nonsevere cases of COVID-19, as well as identification of biomarkers for the development of severe form in the present study, will allow optimal streamlining of management with rapid triage of patients.
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