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Post covid-19 syndrome among recovered cohort during the convalescence: prospective study
Medical Science ; 26(122):9, 2022.
Article in English | Web of Science | ID: covidwho-1887481
ABSTRACT

Background:

Hospitalization is not normally necessary in all COVID patients, nor is lab tests and PCR. There is subjective evidence that patients with "slight" COVID-19 may complain of persistent symptoms weeks after the infection.

Methods:

A group of 489 patients was tracked for 8 months after recovering from mild to severe COVID-19 infection at a Saudi tertiary hospital between March 6th and December 2nd 2021, IRB and informed permission acquired #89742/2022, and participation was freely. We evaluated the clinical condition, lab findings, and demographic features of the patients and used SPSSversion26 to perform our statistical analysis.

Results:

All of them were followed up until the second follow-up visit at 4.3 months (median 131 days (IQR 112-149). Age was a significant indicator of post CL syndrome, obtained p-value for age, 0.032, was less than critical alpha level of 0.05. BMI was a significant indicator of post CL syndrome, obtained p-value 0.032 (odds ratio (OR) 1.04;95% confidence interval (95% CI) (1.00 - 1.073)), body aches was a significant indicator of post CL syndrome, obtained p-value 0.040 (OR 0.59;95% CI (0.36-0.98)), fatigue was a significant indicator of post CL syndrome, obtained p-value.005 (OR 2.05;95% CI (0.99-4.22)).

Conclusion:

Manifold signs are present around 3 months after the onset of signs in formerly hospitalized and non-hospitalized participants with established or suspected COVID-19. This suggests the presence of a "(post-COVID-19 syndrome)" and peaks the final healthcare needs in a subset of individuals with "slight" or "Spartan" COVID-19.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Medical Science Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Medical Science Year: 2022 Document Type: Article