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Usage of compromised lung volume in monitoring steroid therapy on severe COVID-19.
Su, Ying; Qiu, Ze-Song; Chen, Jun; Ju, Min-Jie; Ma, Guo-Guang; He, Jin-Wei; Yu, Shen-Ji; Liu, Kai; Lure, Fleming Y M; Tu, Guo-Wei; Zhang, Yu-Yao; Luo, Zhe.
  • Su Y; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Qiu ZS; School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
  • Chen J; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Ju MJ; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Ma GG; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • He JW; School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
  • Yu SJ; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Liu K; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Lure FYM; MS Technologies, Rockville, MD, USA.
  • Tu GW; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. tu.guowei@zs-hospital.sh.cn.
  • Zhang YY; School of Information Science and Technology, ShanghaiTech University, Shanghai, China. zhangyy8@shanghaitech.edu.cn.
  • Luo Z; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. luo.zhe@zs-hospital.sh.cn.
Respir Res ; 23(1): 105, 2022 Apr 29.
Article in English | MEDLINE | ID: covidwho-1875011
ABSTRACT

BACKGROUND:

Quantitative 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.

METHODS:

Between February 7 and February 17, 2020, 72 patients with severe COVID-19 were retrospectively enrolled. All 300 chest CT scans from these patients were 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.

RESULTS:

Of 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.

CONCLUSIONS:

Steroid 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Respir Res Year: 2022 Document Type: Article Affiliation country: S12931-022-02025-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Respir Res Year: 2022 Document Type: Article Affiliation country: S12931-022-02025-6