Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba 81310-020, Brazil.
Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, Brazil.
Int J Environ Res Public Health. 2022 Oct 19;19(20):13522. doi: 10.3390/ijerph192013522.
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.
COVID-19 已被广泛研究，包括其症状、结果以及严重疾病形式的风险特征。我们的目的是通过分析巴西流感流行病学监测信息系统（SIVEP-Gripe）在 2020 年 3 月至 2021 年 8 月之间的数据，确定因 COVID-19 导致严重急性呼吸系统综合征（SARS）的孕妇和产后妇女的聚类。该研究的人群包括 16,409 名年龄在 10 至 49 岁之间的女性。采用多元对应分析，将与症状、合并症和医院特征相关的 28 个变量的信息总结为一组连续的主成分（PC）。基于应用于前 10 个 PC 的凝聚层次聚类分析，将人群分为三个聚类。聚类 1 中年轻、无合并症且有流感样症状的女性频率较高；聚类 2 由主要报告味觉丧失和嗅觉丧失的女性组成；聚类 3 包括年龄较大、合并症频率较高和预后较差的女性。定义的聚类显示出不同程度的疾病严重程度，这有助于对患者进行初始风险评估，有助于将这些女性转介到具有适当复杂程度的卫生服务机构。
