Your browser doesn't support javascript.
loading
Association between multimorbidity, intensive care unit admission, and death in patients with COVID-19 in Brazil: a cross-section study, 2020
Cardoso, Jefferson Paixão; Calazans, Maria Inês Pardo; Carneiro, Aretha Lorena Fonseca Cantanhede; Costa, Cayara Mattos; Monteiro, Edna Luisa Oliveira; Aristizábal, Liliana Yanet Gómez; Oliveira, Juliana da Silva; Santos, Alcione Miranda dos.
Afiliación
  • Cardoso, Jefferson Paixão; Universidade Estadual do Sudoeste da Bahia. Núcleo de Estudos em Saúde da População (NESP). Department of Health II. Jequié. BR
  • Calazans, Maria Inês Pardo; Universidade Estadual do Sudoeste da Bahia. Núcleo de Estudos em Saúde da População (NESP). Postgraduate Program in Nursing and Health. Jequié. BR
  • Carneiro, Aretha Lorena Fonseca Cantanhede; Universidade Federal do Maranhão. Postgraduate Program in Dentistry. São Luís. BR
  • Costa, Cayara Mattos; Universidade Federal do Maranhão. Postgraduate Program in Dentistry. São Luís. BR
  • Monteiro, Edna Luisa Oliveira; Universidade Federal do Maranhão. Postgraduate Program in Dentistry. São Luís. BR
  • Aristizábal, Liliana Yanet Gómez; Universidade Federal do Maranhão. Postgraduate Program in Public Health. São Luís. BR
  • Oliveira, Juliana da Silva; Universidade Estadual do Sudoeste da Bahia. Núcleo de Estudos em Saúde da População (NESP). Department of Health II. Jequié. BR
  • Santos, Alcione Miranda dos; Universidade Federal do Maranhão. São Luís. BR
São Paulo med. j ; 141(3): e2022226, 2023. tab
Article en En | LILACS-Express | LILACS | ID: biblio-1432429
Biblioteca responsable: BR1.1
ABSTRACT
ABSTRACT

BACKGROUND:

Multimorbidity can influence intensive care unit (ICU) admissions and deaths due to coronavirus disease (COVID-19).

OBJECTIVE:

To analyze the association between multimorbidity, ICU admissions, and deaths due to COVID-19 in Brazil. DESIGN AND

SETTING:

This cross-sectional study was conducted using data from patients with severe acute respiratory syndrome (SARS) due to COVID-19 recorded in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) in 2020.

METHODS:

Descriptive and stratified analyses of multimorbidity were performed based on sociodemographic, ventilatory support, and diagnostic variables. Poisson regression was used to estimate the prevalence ratios.

RESULTS:

We identified 671,593 cases of SARS caused by COVID-19, of which 62.4% had at least one morbidity. Multimorbidity was associated with male sex, age 60-70 and ≥ 80 years, brown and black skin color, elementary education and high school, ventilatory support, and altered radiologic exams. Moreover, all regions of the country and altered computed tomography due to COVID-19 or other diseases were associated with death; only the northeast region and higher education were associated with ICU admission.

CONCLUSION:

Our results showed an association between multimorbidity, ICU admission, and death in COVID-19 patients in Brazil.
Palabras clave

Texto completo: 1 Banco de datos: LILACS Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: São Paulo med. j Asunto de la revista: Cirurgia Geral / Ciˆncia / Ginecologia / MEDICINA / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Banco de datos: LILACS Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: São Paulo med. j Asunto de la revista: Cirurgia Geral / Ciˆncia / Ginecologia / MEDICINA / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Año: 2023 Tipo del documento: Article País de afiliación: Brasil