Pacheco Ana Paula, Laureano Henrique, Schidlowski Laire, Ciorcero Natalia, Zanatto Thalita, Borgmann Ariela, Fragoso Gabrielle, Giamberardino Ana Luisa, Dourado Renata, Anjos Karine Dos, João Paulo, Assahide Marina, Silveira Maria Cristina, Costa-Junior Victor, Giamberardino Heloisa, Prando Carolina
Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.
Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Life (Basel). 2024 Aug 29;14(9):1083. doi: 10.3390/life14091083.
This study was conducted to ascertain the most frequent symptoms of COVID-19 infection at first consultation in a pediatric cohort and to devise a predictive model for hospitalization.
This is a retrospective cross-sectional study of 1028 Brazilian patients aged <18 years with SARS-CoV-2 infection in a single reference hospital in the first year of the pandemic. Clinical, demographic, laboratory, and disease spectrum data were analyzed via multivariate logistic regression modeling to develop a predictive model of factors linked to hospitalization.
The majority of our cohort were schoolchildren and adolescents, with a homogeneous distribution concerning sex. At first consultation, most patients presented with fever (64.1%) and respiratory symptoms (63.3%). We had 204 admitted patients, including 11 with Pediatric Multisystem Inflammatory Syndrome. Increased D-dimer levels were associated with comorbidities ( = 0.018). A high viral load was observed in patients within the first two days of symptoms ( < 0.0001). Our predictive model included respiratory distress, number and type of specific comorbidities, tachycardia, seizures, and vomiting as factors for hospitalization.
Most patients presented with mild conditions with outpatient treatment. However, understanding predictors for hospitalization can contribute to medical decisions at the first patient visit.
本研究旨在确定儿科队列初次就诊时新冠病毒感染最常见的症状，并设计一种住院预测模型。
这是一项回顾性横断面研究，研究对象为疫情第一年在一家参考医院就诊的1028名年龄小于18岁的巴西新冠病毒感染患者。通过多因素逻辑回归模型分析临床、人口统计学、实验室和疾病谱数据，以建立与住院相关因素的预测模型。
我们队列中的大多数是学童和青少年，性别分布均匀。初次就诊时，大多数患者出现发热（64.1%）和呼吸道症状（63.3%）。我们有204名住院患者，其中包括11名患有儿童多系统炎症综合征的患者。D - 二聚体水平升高与合并症相关（P = 0.018）。在症状出现的前两天内，患者的病毒载量较高（P < 0.0001）。我们的预测模型包括呼吸窘迫、特定合并症的数量和类型、心动过速、癫痫发作和呕吐作为住院因素。
大多数患者症状较轻，接受门诊治疗。然而，了解住院预测因素有助于在患者初次就诊时做出医疗决策。
