Associations between severe pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients
OBJECTIVE: Coronavirus disease 2019 (COVID-19) spread around the world in 2020. Abnormal pulmonary function and residual CT abnormalities were observed in COVID-19 patients during recovery. Appropriate rehabilitation training is around the corner. The correlation between spirometric impairment and residual CT abnormality remains largely unknown.
PATIENTS AND METHODS: A cross-sectional study conducted on the pulmonary function of 101 convalescent COVID-19 patients before discharge. Multivariate analysis was used to establish a scoring system to evaluate the spirometric abnormality based on residual chest CT.
RESULTS: Lung consolidation area >25% and severe-type COVID-19 were two independent risk factors for severe pulmonary dysfunction. Besides, a scoring system was established. People scoring more than 12 points have more chances (17 times) to get severe pulmonary function impairment before discharge.
CONCLUSIONS: For the first time, a chest CT characteristics-based grading system was suggested to predict the pulmonary dysfunction of COVID-19 patients during convalescence in this study. This study may provide suggestions for pulmonary rehabilitation.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
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| Enthalten in: |
European review for medical and pharmacological sciences - 25(2021), 23 vom: 17. Dez., Seite 7585-7597 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yu, C [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 05.01.2022 Date Revised 05.01.2022 published: Print Citation Status MEDLINE |
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| doi: |
10.26355/eurrev_202112_27457 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM334554195 |
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| 245 | 1 | 0 | |a Associations between severe pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients |
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| 500 | |a Date Completed 05.01.2022 | ||
| 500 | |a Date Revised 05.01.2022 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE: Coronavirus disease 2019 (COVID-19) spread around the world in 2020. Abnormal pulmonary function and residual CT abnormalities were observed in COVID-19 patients during recovery. Appropriate rehabilitation training is around the corner. The correlation between spirometric impairment and residual CT abnormality remains largely unknown | ||
| 520 | |a PATIENTS AND METHODS: A cross-sectional study conducted on the pulmonary function of 101 convalescent COVID-19 patients before discharge. Multivariate analysis was used to establish a scoring system to evaluate the spirometric abnormality based on residual chest CT | ||
| 520 | |a RESULTS: Lung consolidation area >25% and severe-type COVID-19 were two independent risk factors for severe pulmonary dysfunction. Besides, a scoring system was established. People scoring more than 12 points have more chances (17 times) to get severe pulmonary function impairment before discharge | ||
| 520 | |a CONCLUSIONS: For the first time, a chest CT characteristics-based grading system was suggested to predict the pulmonary dysfunction of COVID-19 patients during convalescence in this study. This study may provide suggestions for pulmonary rehabilitation | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Hu, X-Y |e verfasserin |4 aut | |
| 700 | 1 | |a Zou, C |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, F-F |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, B |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Y |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Y |e verfasserin |4 aut | |
| 700 | 1 | |a Song, L-J |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, L |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Q |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Y-C |e verfasserin |4 aut | |
| 700 | 1 | |a He, H-Y |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, M-Y |e verfasserin |4 aut | |
| 700 | 1 | |a Zou, Z |e verfasserin |4 aut | |
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