Please use this identifier to cite or link to this item:
https://www.arca.fiocruz.br/handle/icict/56072
CLUSTERS OF PREGNANT WOMEN WITH SEVERE ACUTE RESPIRATORY SYNDROME DUE TO COVID-19: AN UNSUPERVISED LEARNING APPROACH
Pregnant Women
Hospitalization
Delivery of Health Care
Health Management
Mujeres Embarazadas
Hospitalización
Atención a la Salud
Gestión en Salud
Síndrome Respiratória Aguda Grave
Gestantes
Hospitalização
Atenção à Saúde
Gestão em Saúde
Author
Affilliation
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Curitiba, PR, Brasil.
Abstract
COVID-19 has been widely explored in relation to its symptoms, outcomes, and risk profiles for the severe form of the disease. Our aim was to identify clusters of pregnant and postpartum women with severe acute respiratory syndrome (SARS) due to COVID-19 by analyzing data available in the Influenza Epidemiological Surveillance Information System of Brazil (SIVEP-Gripe) between March 2020 and August 2021. The study’s population comprised 16,409 women aged between 10 and 49 years old. Multiple correspondence analyses were performed to summarize information from 28 variables related to symptoms, comorbidities, and hospital characteristics into a set of continuous principal components (PCs). The population was segmented into three clusters based on an agglomerative hierarchical cluster analysis applied to the first 10 PCs. Cluster 1 had a higher frequency of younger women without comorbidities and with flu-like symptoms; cluster 2 was represented by women who reported mainly ageusia and anosmia; cluster 3 grouped older women with the highest frequencies of comorbidities and poor outcomes. The defined clusters revealed different levels of disease severity, which can contribute to the initial risk assessment of the patient, assisting the referral of these women to health services with an appropriate level of complexity.
Keywords
Severe Acute Respiratory SyndromePregnant Women
Hospitalization
Delivery of Health Care
Health Management
Keywords in Spanish
Síndrome Respiratorio Agudo GraveMujeres Embarazadas
Hospitalización
Atención a la Salud
Gestión en Salud
DeCS
COVID-19Síndrome Respiratória Aguda Grave
Gestantes
Hospitalização
Atenção à Saúde
Gestão em Saúde
Share