Post-acute COVID-19: results of large principal component analysis

Анотація

Understanding which characteristics of acute and post-acute COVID-19 are the most important for pts’ status after COVID-19 may help to schedule rehabilitation program and assess prognose. <bold>Aim:</bold> – to determine which characteristics of COVID-19 pneumonia and post-COVID-19 period influence the status of pts in post-acute COVID-19. <bold>Materials and methods:</bold> 65 pts after COVID-19 pneumonia (age – 61,0 (52,0; 68,0), men – 28 (43,1 %)) were investigated on 45,0 (40,0; 60,0) day from COVID-19 onset. 25 (38,5 %) pts had moderate COVID-19, 27 (41,5 %) – severe and 13 (20,0 %) – critical. Anamnestical data (minSpO2, CRP, D-dimer, platelets in acute COVID-19), 6-minute walking test, SpO2, DLCO and laboratory methods (CRP, D-dimer, platelets) measured in post-acute COVID-19 were used. Principal component analysis was performed. <bold>Results:</bold> Five factors significantly : 6MWT and DLCO in post-acute COVID-19 (loading values 0,91, 0,79 and 0,79 respectively) as well as minSp02 and highest D-dimer in acute COVID-19 (loading values 0,90 and 0,76 respectively), The cumulative proportion of variance for 2 factors with highest loading values (minSpO2 in acute COVID-19 and 6MWT in post-acute COVID-19) was 56,7%, for all five factors – 86,5 %. <fig><object-id>erj;64/suppl_68/PA305/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Conclusion:</bold> Monitoring of pts after COVID-19 should include 6MWT, DLCO and SpO2 assessment whereas laboratory study is less important. It is also crucial to consider minSpO2 score and highest D-dimer level during acute COVID-19.

Класифікація

Ідентифікатори

Схожі роботи