Bibliographic citations
This is an automatically generated citacion. Modify it if you see fit
Velasco, D., (2025). Modelo predictivo para el retardo de la cicatrización en úlceras de pie diabético [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/58332
Velasco, D., Modelo predictivo para el retardo de la cicatrización en úlceras de pie diabético [Tesis]. PE: Universidad Privada Antenor Orrego; 2025. https://hdl.handle.net/20.500.12759/58332
@misc{renati/1741833,
title = "Modelo predictivo para el retardo de la cicatrización en úlceras de pie diabético",
author = "Velasco Cumbicus, Daniela Maritza",
publisher = "Universidad Privada Antenor Orrego",
year = "2025"
}
Title: Modelo predictivo para el retardo de la cicatrización en úlceras de pie diabético
Authors(s): Velasco Cumbicus, Daniela Maritza
Advisor(s): Fajardo Arriola, Carlos Eduardo
Keywords: Diabetes Mellitus; Ulcéra
OCDE field: https://purl.org/pe-repo/ocde/ford#3.02.27
Issue Date: 2025
Institution: Universidad Privada Antenor Orrego
Abstract: Determinar un modelo predictivo de factores clínicos y laboratoriales
que predicen el retardo de la cicatrización de úlceras de pie diabético.
Material y métodos: Estudio observacional analítico con diseño de cohorte
retrospectiva que incluyó 160 pacientes con presencia de úlceras de pie
diabético. Se utilizó el paquete estadístico Stata v.15 para describir las variables
cuantitativas, cualitativas, así como la diferencia de frecuencia de los factores
clínicos y laboratoriales según el retardo de la cicatrización. Se modelaron
regresiones logísticas bivariadas y multivariadas para obtener dos conjuntos de
variables, comparar su capacidad de discriminación (Curva ROC y Área bajo la
curva, ABC).
Resultados: En la muestra estudiada, se hallaron diferencias significativas
(p<0.05) de frecuencia en el retardo de la cicatrización según el sexo masculino,
hemodiálisis, grado 3 de Wagner, localización en retropié, presencia de
isquemia, infección, área ≥ 1 cm2, profundidad que involucra músculo, tendones
y valor de hemoglobina. El modelo predictivo que incluyó las variables
enumeradas demostró una adecuada discriminación (ÁBC 0.83). El modelo
parsimonioso que incluyó el sexo, grado 3 de Wagner, área y anemia demostró
una adecuada discriminación (ABC 0.82).
Conclusiones: Se determinaron dos modelos con adecuada discriminación que
predicen el retardo de la cicatrización de úlceras de pie diabético.
To determine a predictive model of clinical and laboratory factors that predict the delay in healing of diabetic foot ulcers. Material and methods: An analytical observational cross-sectional study that included 160 patients with diabetic foot ulcers. The statistical package Stata v.15 was used to describe the quantitative and qualitative variables, as well as the difference in frequency of clinical and laboratory factors according to the delay in healing. Bivariate and multivariate logistic regressions were modeled to obtain two sets of variables, compare their discrimination capacity (ROC curve and Area under the curve, AUC). Results: In the sample studied, significant differences (p<0.05) were found in frequency of delayed healing according to male sex, hemodialysis, Wagner grade 3, location in the hindfoot, presence of ischemia, infection, area ≥ 1 cm2, depth involving muscle, tendons and hemoglobin value. The predictive model that included the listed variables demonstrated adequate discrimination (ÁBC 0.83). The parsimonious model that included sex, Wagner grade 3, area and anemia showed adequate discrimination (AUC 0.82). Conclusions: Two models with adequate discrimination that predict the delay in the healing of diabetic foot ulcers were determined
To determine a predictive model of clinical and laboratory factors that predict the delay in healing of diabetic foot ulcers. Material and methods: An analytical observational cross-sectional study that included 160 patients with diabetic foot ulcers. The statistical package Stata v.15 was used to describe the quantitative and qualitative variables, as well as the difference in frequency of clinical and laboratory factors according to the delay in healing. Bivariate and multivariate logistic regressions were modeled to obtain two sets of variables, compare their discrimination capacity (ROC curve and Area under the curve, AUC). Results: In the sample studied, significant differences (p<0.05) were found in frequency of delayed healing according to male sex, hemodialysis, Wagner grade 3, location in the hindfoot, presence of ischemia, infection, area ≥ 1 cm2, depth involving muscle, tendons and hemoglobin value. The predictive model that included the listed variables demonstrated adequate discrimination (ÁBC 0.83). The parsimonious model that included sex, Wagner grade 3, area and anemia showed adequate discrimination (AUC 0.82). Conclusions: Two models with adequate discrimination that predict the delay in the healing of diabetic foot ulcers were determined
Link to repository: https://hdl.handle.net/20.500.12759/58332
Discipline: Medicina Humana
Grade or title grantor: Universidad Privada Antenor Orrego. Facultad de Medicina Humana
Grade or title: Medico Cirujano
Juror: Bardales Ruiz, Dario; Arroyo Orbegoso, Luis Alfredo; Benites Curay, Alfredo Antonio
Register date: 29-Jan-2025
This item is licensed under a Creative Commons License