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Development and Internal Validation of a Prediction Model to Estimate the Probability of Needing Aggressive Immunosuppressive Therapy With Cytostatics in de Novo Lupus Nephritis Patients / Mauricio Restrepo Escobar ; Paula Andrea Granda Carvajal ; Fabián Alberto Jaimes Barragán
Título : Development and Internal Validation of a Prediction Model to Estimate the Probability of Needing Aggressive Immunosuppressive Therapy With Cytostatics in de Novo Lupus Nephritis Patients Otros títulos : Desarrollo y validación interna de un modelo de predicción para estimar la probabilidad de requerir inmunosupresión intensiva con citostáticos en pacientes con nefritis lúpica de novo Tipo de documento : documento electrónico Autores : Mauricio Restrepo Escobar, ; Paula Andrea Granda Carvajal, ; Fabián Alberto Jaimes Barragán, Fecha de publicación : 2019 Títulos uniformes : Reumatología Clínica Idioma : Inglés (eng) Palabras clave : Systemic lupus erythematosus lupus nephritis immunosuppression multivariate analysis decision support techniques logistic models Resumen : Objective: To develop a multivariable clinical prediction model for the requirement of aggressive immunosuppression with cytostatics, based on simple clinical record data and lab tests. The model is defined in accordance with the result of the kidney biopsies. Methods: Retrospective study conducted with data from patients 16 years and older, with SLE and nephritis with less than 6 months of evolution. An initial bivariate analysis was conducted to select the variables to be included in a multiple logistic regression model. Goodness of fit was evaluated using a Hosmer–Lemeshow test (H–L) and the discrimination capacity of the model by means of the area under the ROC (AUC) curve. Results: Data from 242 patients was gathered; of these, 18.2% (n = 44) did not need an addition of cytostatics according to the findings of their kidney biopsies. The variables included in the final model were 24-h proteinuria, diastolic blood pressure, creatinine, C3 complement and the interaction of hematuria with leukocyturia in urinary sediment. The model showed excellent discrimination (AUC = 0.929; 95% CI = 0.894–0.963) and adequate calibration (H–L, P = .959). Conclusion: In recent-onset LN patients, the decision to use or not to use intensive immunosuppressive therapy could be performed based on our prediction model as an alternative to kidney biopsies. Mención de responsabilidad : Mauricio Restrepo-Escobar, Paula Andrea Granda-Carvajal, Fabián Jaimes Referencia : Reumatol Clin. 2019 Jan - Feb;15(1):27-33. DOI (Digital Object Identifier) : 10.1016/j.reuma.2017.05.010 PMID : 28732643 En línea : https://www.reumatologiaclinica.org/en-linkresolver-development-internal-validat [...] Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=4052 Development and Internal Validation of a Prediction Model to Estimate the Probability of Needing Aggressive Immunosuppressive Therapy With Cytostatics in de Novo Lupus Nephritis Patients = Desarrollo y validación interna de un modelo de predicción para estimar la probabilidad de requerir inmunosupresión intensiva con citostáticos en pacientes con nefritis lúpica de novo [documento electrónico] / Mauricio Restrepo Escobar, ; Paula Andrea Granda Carvajal, ; Fabián Alberto Jaimes Barragán, . - 2019.
Obra : Reumatología Clínica
Idioma : Inglés (eng)
Palabras clave : Systemic lupus erythematosus lupus nephritis immunosuppression multivariate analysis decision support techniques logistic models Resumen : Objective: To develop a multivariable clinical prediction model for the requirement of aggressive immunosuppression with cytostatics, based on simple clinical record data and lab tests. The model is defined in accordance with the result of the kidney biopsies. Methods: Retrospective study conducted with data from patients 16 years and older, with SLE and nephritis with less than 6 months of evolution. An initial bivariate analysis was conducted to select the variables to be included in a multiple logistic regression model. Goodness of fit was evaluated using a Hosmer–Lemeshow test (H–L) and the discrimination capacity of the model by means of the area under the ROC (AUC) curve. Results: Data from 242 patients was gathered; of these, 18.2% (n = 44) did not need an addition of cytostatics according to the findings of their kidney biopsies. The variables included in the final model were 24-h proteinuria, diastolic blood pressure, creatinine, C3 complement and the interaction of hematuria with leukocyturia in urinary sediment. The model showed excellent discrimination (AUC = 0.929; 95% CI = 0.894–0.963) and adequate calibration (H–L, P = .959). Conclusion: In recent-onset LN patients, the decision to use or not to use intensive immunosuppressive therapy could be performed based on our prediction model as an alternative to kidney biopsies. Mención de responsabilidad : Mauricio Restrepo-Escobar, Paula Andrea Granda-Carvajal, Fabián Jaimes Referencia : Reumatol Clin. 2019 Jan - Feb;15(1):27-33. DOI (Digital Object Identifier) : 10.1016/j.reuma.2017.05.010 PMID : 28732643 En línea : https://www.reumatologiaclinica.org/en-linkresolver-development-internal-validat [...] Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=4052 Reserva
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