Post-COVID-19 symptoms 6 months after acute infection among hospitalized and non-hospitalized patients

Link to article at PubMed

Clin Microbiol Infect. 2021 Jun 7:S1198-743X(21)00281-0. doi: 10.1016/j.cmi.2021.05.033. Online ahead of print.

ABSTRACT

OBJECTIVES: To assess the prevalence of and factors associated with Post-Coronavirus Disease 2019 (COVID-19) syndrome six months after the onset.

METHODS: A bidirectional prospective study. Interviews investigated symptoms potentially associated with COVID-19 six months after the disease onset of all consecutive adult in- and out-patients with COVID-19 attending Udine Hospital (Italy) from March to May 2020. IgG antibodies against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were also evaluated six months after the onset of symptoms, at the time of the interview.

RESULTS: A total of 599 individuals were included (320 female, 53.4%; mean age 53 years, SD 15.8) and interviewed 187 days (22 SD) after the onset. The prevalence of post-COVID-19 syndrome was 40.2% (241/599). The presence of IgG antibodies was significantly associated with the occurrence of post-COVID-19 syndrome (OR 2.56, 95% CI 1.48-4.38, p = 0.001) and median SARS-CoV-2 IgG titres were significantly higher in long-haulers than in patients without symptoms (42.1, IQR 17.1-78.4 vs. 29.1, IQR 12.1-54.2 kAU/L, p = 0.004). Female gender (OR 1.55, 95% CI 1.05-2.27), a proportional increase in the number of symptoms at the onset of COVID-19 (OR 1.81, 95% CI 1.59-2.05) and ICU admission OR 3.10, 95% CI 1.18-8.11) were all independent risk factors for post-COVID-19 syndrome. The same predictors also emerged in a subgroup of 231 patients with the serological follow-up available at the time of the interview alongside the proportional increase in anti-SARS-CoV-2 IgG (OR 1.01, 95% CI 1.00-1.02, p = 0.04).

CONCLUSIONS: Prospective follow-up could be offered to specific subgroups of COVID-10 patients, to identify typical symptoms and persistently high anti-SARS-CoV-2 IgG titers as a means of early detection of post-COVID-19 long-term sequelae.

PMID:34111579 | PMC:PMC8180450 | DOI:10.1016/j.cmi.2021.05.033

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