Usage of Compromised Lung Volume in Monitoring Steroid Therapy on Severe COVID-19

Abstract BackgroundQuantitative computed tomography (QCT) analysis may serve as a tool for assessing the severity of coronavirus disease 2019 (COVID-19) and for monitoring its progress. The present study aimed to assess the association between steroid therapy and quantitative CT parameters in a longitudinal cohort with COVID-19.MethodsBetween February 7 and February 17, 2020, 300 chest CT scans from 72 patients with severe COVID-19 were retrospectively collected and classified into five stages according to the interval between hospital admission and follow-up CT scans: Stage 1 (at admission); Stage 2 (3–7 days); Stage 3 (8–14 days); Stage 4 (15–21 days); and Stage 5 (22–31 days). QCT was performed using a threshold-based quantitative analysis to segment the lung according to different Hounsfield unit (HU) intervals. The primary outcomes were changes in percentage of compromised lung volume (%CL, –500 to 100 HU) at different stages. Multivariate Generalized Estimating Equations were performed after adjusting for potential confounders.ResultsOf 72 patients, 31 patients (43.1%) received steroid therapy. Steroid therapy was associated with a decrease in %CL (-3.27% [95% CI, -5.86 to -0.68, P = 0.01]) after adjusting for duration and baseline %CL. Associations between steroid therapy and changes in %CL varied between different stages or baseline %CL (all interactions, P < 0.01). Steroid therapy was associated with decrease in %CL after stage 3 (all P < 0.05), but not at stage 2. Similarly, steroid therapy was associated with a more significant decrease in %CL in the high CL group (P < 0.05), but not in the low CL group.ConclusionsSteroid administration was independently associated with a decrease in %CL, with interaction by duration or disease severity in a longitudinal cohort. The quantitative CT parameters, particularly compromised lung volume, may provide a useful tool to monitor COVID-19 progression during the treatment process. Trial registration: Clinicaltrials.gov, NCT04953247. Registered July 7, 2021, https://clinicaltrials.gov/ct2/show/NCT04953247.

Medienart:

Preprint

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

ResearchSquare.com - (2021) vom: 22. Sept. Zur Gesamtaufnahme - year:2021

Sprache:

Englisch

Beteiligte Personen:

Su, Ying [VerfasserIn]
Qiu, Ze-song [VerfasserIn]
Chen, Jun [VerfasserIn]
Ju, Min-jie [VerfasserIn]
Ma, Guo-guang [VerfasserIn]
He, Jin-wei [VerfasserIn]
Yu, Shen-ji [VerfasserIn]
Liu, Kai [VerfasserIn]
Lure, Fleming Y. M. [VerfasserIn]
Tu, Guo-wei [VerfasserIn]
Zhang, Yu-yao [VerfasserIn]
Luo, Zhe [VerfasserIn]

Links:

Volltext [kostenfrei]

doi:

10.21203/rs.3.rs-698051/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA034825193