A protocol for the development and internal validation of a model to predict clinical response to antihistamines in urticaria patients

ABSTRACT: Chronic urticaria causes a significant limitation to quality of life. In the literature, various studies can be found that have reviewed several clinical and laboratory markers, but none of these variables alone is sufficient to predict the patient's prognosis. In this study, we present a protocol to develop a prognostic model that can predict the clinical response of urticaria patients to antihistamines. This is a protocol for a bidirectional cohort study. Urticaria data will be routinely collected from a population of patients over 18 years old. A full multivariable logistic regression model will be fitted, following five steps: 1) Selection of predictive variables for the model; 2) Evaluation of the quality of the collected data and control of lost data; 3) Data statistical management; 4) Strategies to select the variables to include at the end of the model; 5) Evaluation of the performance of the different possible models (predictive accuracy) and selection of the best model. The performance and internal validation of the model will be assessed. Some clinical and paraclinical variables will be measured for further exploration.

• Autores: Velásquez Lopera, Margarita María; Sánchez Caraballo, Jorge Mario; Jaimes Barragán, Fabián Alberto
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2020
• Institución: Universidad de Antioquia
• Repositorio: Repositorio UdeA
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.udea.edu.co:10495/43086
• Acceso en línea: https://hdl.handle.net/10495/43086
• Palabra clave: Chronic Urticaria; Urticaria Crónica; Cohort Studies; Estudios de Cohortes; Histamine Antagonists; Antagonistas de los Receptores Histamínicos; Logistic Models; Modelos Logísticos; Prognosis; Pronóstico; Validation Studies as Topic; Estudios de Validación como Asunto; https://id.nlm.nih.gov/mesh/D000080223; https://id.nlm.nih.gov/mesh/D015331; https://id.nlm.nih.gov/mesh/D006633; https://id.nlm.nih.gov/mesh/D016015; https://id.nlm.nih.gov/mesh/D011379; https://id.nlm.nih.gov/mesh/D054928
• Rights: openAccess
• License: http://creativecommons.org/licenses/by/2.5/co/