Ignite Creation Date:
2024-06-16 @ 11:52 AM
Last Modification Date:
2024-10-26 @ 3:32 PM
Study NCT ID:
NCT06460753
Status:
COMPLETED
Last Update Posted:
2024-06-14
First Post:
2024-06-12
Brief Title:
Analysis of Laboratory Markers for Severe COVID-19
Sponsor:
Karaganda Medical University
Organization:
Karaganda Medical University
Study Overview
Official Title:
Analysis of Laboratory Markers for Severe COVID-19
Status:
COMPLETED
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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
Detailed 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 1up 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 Spearmans 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 Youdens J index and the Associated criterion for each of the selected markers in relation to the patients 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 2326 MedCalc MedCalc Software Ltd Ostend Belgium Microsoft Office Excel 2016
In order to determine correlations between quantitative and qualitative data at different stages of treatment a correlation analysis was carried out Spearmans 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 Youdens J index and the Associated criterion for each of the selected markers in relation to the patients 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 2326 MedCalc MedCalc Software Ltd Ostend Belgium Microsoft Office Excel 2016
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None