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March 17, 2026The Brazilian Journal of Infectious Diseases0 citationsOpen Access

Association Between Clinical-Epidemiological Data and Complications in Covid-19 Patients Treated at a Tertiary University Referral Hospital in the Country

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MSMichel Morais Marques SawanGCGuilherme Silveira CastroYOYasmim Colins Silva de Oliveira

Key Points

  • This research aims to identify clinical and epidemiological factors associated with complications in COVID-19 patients.
  • Conducted genomic epidemiology study on 2,395 respiratory samples sequenced from confirmed COVID-19 patients.
  • Collected clinical and epidemiological data from electronic medical records.
  • Analyzed data using RStudio with a focus on statistical significance (p < 0.001).
  • Identified risk factors concerning age, sex, ethnicity, pre-existing conditions, and vaccination status.
  • Mean age of patients with complications was 57.5 years; 41.2 years for those without complications.
  • Higher complications were noted in men (25.2%) compared to women (12.9%).
  • Significant associations with complications included obesity, diabetes, and other chronic conditions.
  • Vaccinated individuals showed lower complication rates: 9.5% fully vaccinated, 2.9% with booster, compared to 21.5% unvaccinated.

Abstract

The SARS-CoV-2 pandemic resulted in high global morbidity and mortality. One observed aspect was the occurrence of COVID-19-associated complications. This research aimed to identify associations between clinical-epidemiological factors and complications in patients affected by the virus. This work presents preliminary data from a larger project in which respiratory samples from COVID-19 patients treated at a university hospital were sequenced throughout the pandemic’s evolution. This is a genomic epidemiology study in which 2,395 naso- and oropharyngeal secretion samples from 2,379 patients with confirmed SARS-CoV-2 infection by multiplex RT-PCR with Ct ≤ 30 were sequenced between April 2020 and January 2022. Clinical and epidemiological data were collected from electronic medical records and stored in a database (REDCap, 7.6.3). Genomic and clinical data were analyzed using RStudio (2022.07.01). A minimum interval of 60 days was considered to identify reinfections. Preliminary univariate analysis data are reported here, particularly those reaching statistical significance (p < 0.001). Several analyzed variables were statistically more associated with clinical complications. The mean age among individuals with complications was 57.5 years, whereas among patients without complications it was 41.2 years. Sex (25.2% men vs. 12.9% women) and ethnicity (Black 32.1%, mixed race 22.4% vs. White 16.2%) were statistically more related to complications. As expected, patients with more severe illness were significantly more affected by complications. Predisposing conditions most significantly associated with complications were diabetes mellitus, obesity, chronic kidney disease, immunodeficiencies, neoplasms, chronic cardiovascular, hepatic, hematologic, neurologic, and pulmonary diseases. Complications were also more associated with Gamma and Omicron variants. Complications were also more related to non-healthcare workers (41.9% vs. 1.6%). Vaccination was protective against complications: 9.5% of fully vaccinated individuals, 2.9% with booster, and 21.5% unvaccinated presented complications. In this retrospective cohort, factors more strongly associated with clinical complications were identified. This information is useful to guide the management of COVID-19 cases by anticipating individuals who are more susceptible.

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Cite This Study

Sawan et al. (2026) studied this question.

synapsesocial.com/papers/69b8ef6ddeb47d591b8c58a0https://doi.org/10.1016/j.bjid.2026.105286
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