Citas bibligráficas
Díaz, K., (2021). Modelo de predicción para osteomielitis en pacientes con fractura diafisiaria de tibia sometidos a tratamiento quirúrgico [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/7544
Díaz, K., Modelo de predicción para osteomielitis en pacientes con fractura diafisiaria de tibia sometidos a tratamiento quirúrgico [Tesis]. PE: Universidad Privada Antenor Orrego; 2021. https://hdl.handle.net/20.500.12759/7544
@misc{renati/377731,
title = "Modelo de predicción para osteomielitis en pacientes con fractura diafisiaria de tibia sometidos a tratamiento quirúrgico",
author = "Díaz Chávez, Karen Ivonne",
publisher = "Universidad Privada Antenor Orrego",
year = "2021"
}
To determine the factors associated with osteomyelitis in patients with tibial diaphyseal fracture undergoing surgical treatment. Methods: An observational, analytical and cross-sectional study was carried out. A total of 122 patients with tibial diaphyseal fracture who underwent surgical treatment in the service the Traumatology of EsSalud Hospital Víctor Lazarte Echegaray April from January 2014 to December 2018; of which a total of 27 patients met the criteria for osteomyelitis 95 participants did not have osteomyelitis. Results: The prevalence of osteomyelitis was 22.1%. The bivariate analysis according to clinical characteristics showed that smoking, diabetes mellitus, surgical vacuum time, exposed fracture, degree of AO classification were associated with the presence of osteomyelitis. Bivariate analysis according to surgical characteristics showed that blood transfusion was associated with the presence of osteomyelitis. The multivariate analysis identified that the time of surgical vacuum, diabetes mellitus, smoking, the degree of AO classification were significantly associated with the presence of Osteomyelitis and were part of the prediction model. The ROC curve showed an area under the curve of 0.895. Conclusions: The history of surgical vacuum time, diabetes mellitus, smoking and the degree of AO classification were significantly associated with the presence of Osteomyelitis and have a predictive power of 89.5% for osteomyelitis.
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