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    Functional and radiological changes in ICU survivors with COVID-19 at 1-year follow-up from the OUTSTRIP COVID-19 study

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    qmj.2025.40.pdf (318.2Kb)
    Date
    2025
    Author
    Thomas, Merlin Marry
    Hussein, Mousa Shaher
    Rashid, Amal Al
    Mohamed, Maysa A.
    Kambal, Aalaa Salaheldin
    Kumar, Rajendra
    Hameed, Mansoor Ali
    Singh, Rajvir
    Ahmad, Mushtaq
    George, Saibu
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    Abstract
    Objective: We aimed to determine the radiological changes on computed tomography (CT) scans of the chest and pulmonary function abnormalities at a 1-year follow-up in intensive care unit (ICU) survivors with severe COVID-19. Design: A 2-year prospective cohort study with an enrollment of 204 patients within 3 months after their discharge from the ICU at Hamad General Hospital, the tertiary care center in Qatar. Main Results: The mean age of our cohort was 48.7 ± 8.6 years. CT chest was performed on a total of 135 patients at a 1-year follow-up, out of which 43 patients had a CT chest during hospital admission with COVID-19. Abnormal CT chest findings were seen in 118 (87.4%) patients at 1 year. The mean CT severity score significantly improved at 1 year (8.1 ± 6.8 vs. 19.4 ± 3.6, p < 0.001). Those with an abnormal CT chest in 1 year had a significantly lower but normal predicted forced vital capacity (91.9% ± 15.4 vs. 81.1% ± 13.7, p = 0.01), predicted total lung capacity (82.5% ± 13.9 vs. 94.3% ± 12.7, p = 0.02) and oxygen saturation after 6-minute walk test (6MWT) (97.5 ± 1.2 vs. 98.3 ± 0.651, p = 0.033). 6MWT distance was significantly shorter than the predicted distance in those with an abnormal CT (63 (62.4%) vs. 7 (77.8%), p = 0.020). Conclusion: Patients recovering from severe COVID-19 have significant improvement but persistent radiological changes at a 1-year follow-up that correlate with several physiological parameters, but these findings are limited by the absence of pre-COVID-19 baseline imaging.
    DOI/handle
    http://dx.doi.org/10.5339/qmj.2025.40
    http://hdl.handle.net/10576/67604
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    • COVID-19 Research [‎853‎ items ]
    • Medicine Research [‎1882‎ items ]

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