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Spectrum of Post-Covid-19 Syndrome – Post-Hospitalisation Covid-19 Study
Journal, Indian Academy of Clinical Medicine ; 23(1-2):17-24, 2022.
Article in English | EMBASE | ID: covidwho-1894207
ABSTRACT
Backgrounds Covid-19 pandemic has affected large population across the globe. As the cases around the world rise, Covid-1related complications are also reported from various areas of the world. Pulmonary complications are mostly reported all over thworld. In this review, we emphasized the pulmonary functions in Covid-19 survivors.

Objectives:

To determine the impact of Covid-19 on pulmonary functions and analysis of possible lung damage in long-term aftecovid recovery.

Methods:

Study includes lab-confirmed RT-PCR positive, both discharged and home-isolated from Tertiary Care Centre New MedicaCollege and attached Hospitals, Kota. All subjects were to undergo 6-min. walk test (6MWT) and included only those patients foPulmonary Function Test who could perform 6MWT.

Results:

109 men and 57 women with age range, 21 to 77 years from the 166 subjects. Among these, 71 (42.77%) were discharged from hospitals and 95 (57.23%) were home-isolated. The predicted FVC% was 92.83 ± 12.42, predicted FEV1% 89.94 ± 12.71 and FEV1/FVC% predicted was 98.30 ± 14.13. 6MWT walked distance was 540.50 ± 2.40. 69 subjects (41.57%) faced fatigue during 6MWT. FEV valuwas significantly(p < 0.05) higher for hospitalised patients compared to home-isolated patients. The mean FVC value was higher fohome-isolated patients compared to hospitalised patients (p < 0.05). 23% of study subjects showed restrictive and 7.2% haobstructive pattern while 70.5% had normal PFT.

Conclusion:

Covid-19 patients showed compromised respiratory functions, mainly restriction in close to 23% and obstruction in 7% of patients. PFTs explain the possible lung damage by Covid-19.
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Collection: Databases of international organizations Database: EMBASE Topics: Long Covid Language: English Journal: Journal, Indian Academy of Clinical Medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Topics: Long Covid Language: English Journal: Journal, Indian Academy of Clinical Medicine Year: 2022 Document Type: Article