Analysis of Laboratory Markers for Severe COVID-19

Karaganda Medical University

Status: Completed

Conditions: Coronavirus Infection COVID-19

Treatments: Diagnostic Test: CT of the chest organs, blood biochemical parameters

Study type: Observational

Funder types: Other

Identifiers

NCT06460753

SC19MI-ARICU-1T

Details and patient eligibility

About

The course of coronavirus infection was often severe and required hospitalization of patients in the intensive care unit. The new SARS-Cov-2 has been poor studied, so relatively reliable markers are needed to effectively monitor patients and predict complications and outcome. Taking into account the known mechanisms of pathogenesis, the biochemical markers as ferritin, procalcitonin, C-reactive protein and D-dimer were chosen for this purpose. Patients were divided according to the degree of pulmonary infiltration. We hypothesized that the markers would correlate with dynamics, complications, and outcomes.

Full description

In the presented study, an analysis of the medical records of 193 patients hospitalized in severe condition to the intensive care unit with a confirmed diagnosis of Coronavirus infection COVID-19 was carried out. Taking into account the volume of pulmonary infiltration according to computer tomography (CT) of the chest organs, patients were divided into 4 groups in accordance with the approved classification: CT 1(up to 25% of lung tissue was infiltrated) - 27 patients, CT 2 (25-50%) - 60 patients, CT 3 (50-75%) - 67 patients, CT 4 (75% and more) - 39 patients. The following biochemical parameters were selected and used to monitor dynamics: procalcitonin (PCT), C-reactive protein (CRP), D-dimer (DD), ferritin (FRT). The duration of observation was 15 days.

In order to determine correlations between quantitative and qualitative data at different stages of treatment, a correlation analysis was carried out (Spearman's test was used). ROC analysis was performed to evaluate selected laboratory markers as predictors of outcome. Next, the odds ratio (OR) was assessed taking into account the obtained Youden's J index and the Associated criterion for each of the selected markers in relation to the patient's outcome. Preliminary contingency tables were compiled in relation to laboratory parameters and outcomes (2x2 tables).

Data were processed using statistical software jamovi (Computer Software ,Version 2.3.26), MedCalc (MedCalc Software Ltd, Ostend, Belgium), Microsoft Office Excel, 2016.

Enrollment: 193 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• identified COVID-19 by nasopharyngeal material PCR, coronavirus associated lung infiltration, visualized by CT, and clinically severe condition

Exclusion criteria

• pregnancy

Trial design

193 participants in 1 patient group

hospitalized to ICU severe patients with coronavirus infection COVID-19

Description:

an analysis of the medical records was carried out

Treatment:

Diagnostic Test: CT of the chest organs, blood biochemical parameters