Clinical Evaluation of COVID-19 Survivors at a Public Multidisciplinary Health Clinic

<b>Background/Objectives:</b> This study aimed to evaluate sociodemographic factors, features of the acute infection, and post-infection health status in survivors of COVID-19, assessing their association with post-acute COVID-19 syndrome (PACS). <b>Methods:</b> A multidisciplinary public clinic in Brazil assessed COVID-19 survivors between June 2020 and February 2022. Patients were classified as having PACS or subacute infection (SI). Data on the history of the acute infection, current symptoms, physical examination, and laboratory findings were collected and analyzed using multivariate models with PACS as the outcome. <b>Results:</b> Among the 113 participants, 63.71% were diagnosed with PACS at a median of 130 days (IQR: 53-196) following acute symptom onset. Admission to the intensive care unit was more frequent among individuals with PACS than those with SI (83.3% vs. 65.0% respectively; <i>p</i> = 0.037). Symptoms significantly more prevalent in the PACS group when compared to the SI cohort included hair loss (44.4% vs. 17.1% respectively; <i>p</i> = 0.004), lower limb paresthesia (34.7% vs. 9.8% respectively; <i>p</i> = 0.003), and slow thinking speed (28.2% vs. 0.0% respectively; <i>p</i> < 0.001). Logistic regression revealed that only the time interval between the onset of acute symptoms and the clinical evaluation was independently associated with a PACS diagnosis (β = 0.057; 95% CI: 1.03-1.08; <i>p</i> < 0.001). <b>Conclusions:</b> Patients with PACS had a higher frequency of intensive care unit admission compared to those with subacute infection. However, in the multivariate analysis, the severity of the acute infection did not predict the final diagnosis of PACS, which was associated only with the time elapsed since symptom onset.

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Publication Details

Journal
Biomedicines
Published
2025-08-03
DOI
https://doi.org/10.3390/biomedicines13081888
Citations
1
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
1.39

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article

Clinical Evaluation of COVID-19 Survivors at a Public Multidisciplinary Health Clinic

Denise Herzog, Felipe Giaretta Otto, Ariele Barreto Haagsma, Carolline Konzen Klein et al.
1 citations
Biomedicines
Long-Term Effects of COVID-19
1.39
article

Clinical Evaluation of COVID-19 Survivors at a Public Multidisciplinary Health Clinic

Denise Herzog, Felipe Giaretta Otto, Ariele Barreto Haagsma, Carolline Konzen Klein, Jamil Faissal Soni, Rebecca Saray Marchesini Stival, Cristina Pellegrino Baena, A Müller, Maria Leonor Gomes de Sá Vianna, Dayane Mayumi Miyasaki, Felipe Paes Gomes da Silva, Nayanne Hevelin dos Santos de Oliveira, Luísa Arcoverde Abbott, Julia Carolina Baldo Fantin Unruh, Lucas Schoeler, Paula Muller Maingue
article en
1 citations

Abstract

<b>Background/Objectives:</b> This study aimed to evaluate sociodemographic factors, features of the acute infection, and post-infection health status in survivors of COVID-19, assessing their association with post-acute COVID-19 syndrome (PACS). <b>Methods:</b> A multidisciplinary public clinic in Brazil assessed COVID-19 survivors between June 2020 and February 2022. Patients were classified as having PACS or subacute infection (SI). Data on the history of the acute infection, current symptoms, physical examination, and laboratory findings were collected and analyzed using multivariate models with PACS as the outcome. <b>Results:</b> Among the 113 participants, 63.71% were diagnosed with PACS at a median of 130 days (IQR: 53-196) following acute symptom onset. Admission to the intensive care unit was more frequent among individuals with PACS than those with SI (83.3% vs. 65.0% respectively; <i>p</i> = 0.037). Symptoms significantly more prevalent in the PACS group when compared to the SI cohort included hair loss (44.4% vs. 17.1% respectively; <i>p</i> = 0.004), lower limb paresthesia (34.7% vs. 9.8% respectively; <i>p</i> = 0.003), and slow thinking speed (28.2% vs. 0.0% respectively; <i>p</i> < 0.001). Logistic regression revealed that only the time interval between the onset of acute symptoms and the clinical evaluation was independently associated with a PACS diagnosis (β = 0.057; 95% CI: 1.03-1.08; <i>p</i> < 0.001). <b>Conclusions:</b> Patients with PACS had a higher frequency of intensive care unit admission compared to those with subacute infection. However, in the multivariate analysis, the severity of the acute infection did not predict the final diagnosis of PACS, which was associated only with the time elapsed since symptom onset.

BiomedicinesVol. 13(8)
Pontifícia Universidade Católica do Paraná (BR), Hospital Universitário Cajuru (BR), Universidad Marcelino Champagnat (PE)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 17%
Long-Term Effects of COVID-19
1.39
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