CLINICAL AND EPIDEMIOLOGICAL FACTORS ASSOCIATED WITH OUTCOMES AMONG 78,648 PATIENTS WITH COVID-19 IN MATO GROSSO, BRAZIL.

juliana Helena Chavez Pavoni,; Rachel Cruz Alves; Ludiele Souza Castro; José Henrique Francisco Roma; Bruno Moreira Carneiro

All Papers

Submission

DOI

10.29327/cbv.297865

Paper Title

CLINICAL AND EPIDEMIOLOGICAL FACTORS ASSOCIATED WITH OUTCOMES AMONG 78,648 PATIENTS WITH COVID-19 IN MATO GROSSO, BRAZIL.

Authors

juliana Helena Chavez Pavoni,
Rachel Cruz Alves
Ludiele Souza Castro
José Henrique Francisco Roma
Bruno Moreira Carneiro

Modality

Resumo

Subject area

Humana

Publishing Date

04/01/2021

Country of Publishing

Brasil

Language of Publishing

Inglês

Paper Page

https://www.even3.com.br/anais/cbv/297865-clinical-and-epidemiological-factors-associated-with-outcomes-among-78648-patients-with-covid-19-in-mato-grosso

ISBN

978-65-5941-175-7

Keywords

COVID-19, odds ratio, Mato Grosso, outcomes, death

Summary

In December 2019, Chinese authorities reported an outbreak of pneumonia of unknown etiology. In January 2020, the etiologic agent of the disease was identified and, characterized by the International Viral Taxonomy Committee (ICTV) as SARS-CoV-2 causing a disease named COVID-19. In Brazil, the first case was reported on February 26th and, currently, there are 5.1 million diagnosed cases and 152 thousand deaths related to this viral infection. In Mato Grosso, the first case of COVID-19 was diagnosed on March 20th and from then more than 133 thousand cases and 3500 confirmed deaths have been reported. In Brazil, the disease has an average fatality rate of 2.5% of cases. Several factors can influence the disease outcome in infected individuals. To further analyze this issue, this study aimed to retrospectively analyze the main clinical factors that influenced the disease outcomes in patients infected with COVID-19 in the state of Mato Grosso. For this, we analyzed a public database with clinical and epidemiological data of approximately 130 thousand patients. First, the data was processed using a script (own authorship) written in Python and the pandas library. Duplicate, incomplete, or laboratory (molecular or serological)-non confirmed entries were removed from the database. Then the cases were categorized as recovered and deaths for each of the analyzed parameters. The data obtained were tested statistically with the Epi Info 7.2 software using the X² tests or Fisher's exact test when necessary. In parallel, the odds ratios were calculated when the parameter allowed. The IndicaSUS database (SES / MT) had a record of 133,512 cases of COVID-19 and after applying the exclusion factors, we obtained 78,648 (58.9%) entries. Twenty-one parameters were analyzed, including gender, race, comorbidities, and symptoms reported at the time of sample collection. Results showed that comorbidities increase the likelihood of death by 11.79 times, with the existence of neoplasms (OR 14.95), kidney disease (OR 13.16), and diabetes (OR 11.61) as conditions most likely to have an impact on disease outcomes. Among the symptoms analyzed, only dyspnea (OR 8.42) increased the likelihood of death. Surprisingly, some symptoms analyzed suggested a considerable reduction in the likelihood of death, including headache (OR 0.27), anosmia (OR 0.21), and ageusia (OR 0.27). Finally, the data analyzed also allowed us to infer that health professionals have a lower probability (OR 0.26) of death due to infection by SARS-CoV-2. Considering the large number of cases analyzed, this study suggests that several factors can positively or negatively influence COVID-19 outcome and this information can be used to better assess the prognosis of patients infected with SARS-CoV-2, especially in times of overload of health care systems.

Title of the Event: XXXI Congresso Brasileiro de Virologia & XV Encontro de Virologia do Mercosul
Title of the Proceedings of the event: Anais do Congresso Brasileiro de Virologia & Encontro de Virologia do Mercosul
Name of the Publisher: Even3
Means of Dissemination: Meio Digital
DOI

How to cite

PAVONI,, juliana Helena Chavez et al.. CLINICAL AND EPIDEMIOLOGICAL FACTORS ASSOCIATED WITH OUTCOMES AMONG 78,648 PATIENTS WITH COVID-19 IN MATO GROSSO, BRAZIL... In: Congresso Brasileiro de Virologia & Encontro de Virologia do Mercosul. Anais...Porto Alegre(RS) Online, 2020. Available in: https//www.even3.com.br/anais/cbv/297865-CLINICAL-AND-EPIDEMIOLOGICAL-FACTORS-ASSOCIATED-WITH-OUTCOMES-AMONG-78648-PATIENTS-WITH-COVID-19-IN-MATO-GROSSO. Access in: 17/07/2025