Clinical differences in symptomology, characteristics, and risk factors in patients with post-acute sequelae of COVID-19: an experience from a tertiary-care academic center.
J Investig Med
; 71(5): 495-501, 2023 06.
Article
in English
| MEDLINE | ID: covidwho-2243578
ABSTRACT
Coronavirus disease 2019 (COVID-19) is caused by the novel coronavirus SARS-CoV-2 and has caused significant mortality and morbidity since it was first recognized in Wuhan, China in December 2019. Patients may suffer from a constellation of symptoms termed post-acute sequelae of COVID-19 (PASC) . Here we present findings of a retrospective cohort study describing the prevalence and predicting factors of patient-reported post-acute sequelae of COVID-19 (PASC). Categorical variables were summarized as frequency (percentage) and compared between vaccine status groups using Fisher's exact test. Continuous variables were reported as median (range) and compared between the groups using Kruskal-Wallis test. All tests were two-sided with p value <0.05 considered statistically significant. Survey data from 132 patients with a median age of 45 years, 68% female, 83% Caucasian/Non-Hispanic. The most frequently reported PASC symptoms include fatigue (84.8%), dyspnea (54.5%), cognitive dysfunction (53%), myalgias (37.1%), lightheadedness or vertigo (36.4%), chest pain (34.8%), palpitations (34.8%), headaches (34.1%), arthralgias (31.8%), and unrefreshing sleep (31.1%). There is mounting evidence that supports higher prevalence of PASC in women, White/Caucasian, and middle-aged individuals. This knowledge can provide guidance to clinical practices to anticipate and support healthcare and self-care needs for patients at higher risk to developing PASC.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Cohort study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Topics:
Long Covid
/
Vaccines
Limits:
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
J Investig Med
Journal subject:
Medicine
Year:
2023
Document Type:
Article
Affiliation country:
10815589231153604
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