Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysis

• Autores: Valladares Garrido, Mario J., Failoc-Rojas, Virgilio E., Soto-Becerra, Percy, Zeña Ñañez, Sandra, Torres-Roman, J. Smith, Fernández-Mogollón, Jorge L., Colchado-Palacios, Irina G., Apolaya-Segura, Carlos E., Dávila-Gonzales, Jhoni A., Arce-Villalobos, Laura R., Neciosup-Puican, Roxana del Pilar, Calvay-Requejo, Alexander G., Maguiña, Jorge L., Apolaya-Segura, Moisés, Díaz-Vélez, Cristian
• Formato: artículo
• Fecha de Publicación: 2022
• Institución: Seguro Social de Salud
• Repositorio: ESSALUD-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.essalud.gob.pe:20.500.12959/3482
• Enlace del recurso: https://hdl.handle.net/20.500.12959/3482; https://doi.org/10.1016/j.ijid.2022.07.045
• Nivel de acceso: acceso abierto
• Materia: Covid-19; Cluster analysis; Coronavirus infections; Pandemic wave; Symptoms; Análisis de conglomerados; Contagio de coronavirus; Ola pandémica; Síntomas; Perú; https://purl.org/pe-repo/ocde/ford#3.03.08; https://purl.org/pe-repo/ocde/ford#3.03.09

Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the “severe” cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged. Conclusion: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave.