ABSTRACT
Demostrar la correlación entre las ecuaciones MDRD, CKD-EPI con la depuración de creatinina de 24 horas en pacientes oncológicos. Estudio transversal realizado en el Instituto Oncológico Nacional Dr Juan Tanca Marengo durante el periodo de tiempo comprendido entre el mes de agosto 2019 a agosto de 2020. Al evaluar las distintas variable MDRD obtuvo un valor promedio de 44,81 ml/min/m2 con un intervalo de 41,07 48,55 ml/min/m2 , la variable CKD-EPI el valor promedio fue 43,59 + 18,09 ml/min/m2 con un intervalo de 40,01 47,18 ml/min/m2 , para el estándar de referencia depuración de creatinina de 24 horas el promedio fue de 54ml/min/m2 Al evaluar la relación entre los dos estimadores de TFG se encontró que ambos presentan una fiabilidad regular presentando una correlación intraclase de 0,43 (p<0,05) entre los estimadores CKD-EPI y MDRD en relación con la TFG de creatinina de 24horas. Cuando se evaluó pacientes con tumores sólidos y hematológicos, se encontró una mayor correlación intraclase con la escala MDRD-4 0,60 (0,25 0,82) < 0,05 en tumores hematológicos en comparación con CKD-EPI. En la población general, CKD-EPI es la fórmula recomendada, y se está recomendado con mayor frecuencia en pacientes oncológicos. Nuestro estudio demostró que la ecuación MDRD es la fórmula que mejor se correlaciona con la depuración de creatinina de 24 horas, siendo mejor en el grupo de tumores hematológicos, pero no existe diferencia estadísticamente significativa entre las dos ecuaciones.
To demonstrate the correlation between the MDRD, CKD-EPI equations with the 24-hour creatinine clearance in cancer patients. Cross-sectional study carried out at the National Oncological Institute Dr Juan Tanca Marengo during the period of time between the month of August 2019 to August 2020. When evaluating the different MDRD variables, an average value of 44.81 ml / min / m2 was obtained with an interval of 41.07 48.55 ml / min / m2, the CKD-EPI variable the average value was 43.59 + 18 , 09 ml / min / m2 with an interval of 40.01 47.18 ml / min / m2, for the reference standard creatinine clearance of 24 hours the average was 54 ml / min / m2 When evaluating the relationship between the two estimators of GFR, it was found that both present a regular reliability, presenting an intraclass correlation of 0.43 (p <0.05) between the CKD-EPI and MDRD estimators in relation to the 24-hour creatinine GFR. When patients with solid and hematological tumors were evaluated, a higher intraclass correlation was found with the MDRD-4 scale 0.60 (0.25 0.82) <0.05 in hematological tumors compared to CKD-EPI. In the general population, CKD-EPI is the recommended formulation, and it is more frequently recommended in cancer patients. Our study showed that the MDRD equation is the formula that best correlates with 24-hour creatinine clearance, being better in the group of hematological tumors, but there is no statistically significant difference between the two equations.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Creatinine/urine , Glomerular Filtration Rate , Kidney Diseases/diagnosis , Neoplasms/physiopathology , Cross-Sectional Studies , Age Distribution , Kidney Diseases/physiopathology , Kidney Function Tests/methodsABSTRACT
Abstract Introduction: the Colombian guidelines for chronic kidney disease (CKD) recommend estimating glomerular filtration (GF) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. No studies have been performed in the Colombian population to compare the accuracy of this equation to that of others used in clinical practice. Design and methods: we evaluated the GF estimation performance of the Modification of Diet in Renal Disease (MDRD-4), Cockroft-Gault (CG) and body surface area adjusted Cockroft-Gault (CG-BSA) equations against the CKD-EPI equation in 757 adult patients. Performance was evaluated using bias, precision and accuracy measurements. Results: the mean GF by CKD-EPI was 37.32±12.71 mL/min/1.73m2; by MDRD-4 it was 39.8±13.2 mL/min/1.73m2, by CG it was 35±12.6 mL/min and by CG-BSA it was 34.52±11.34 mL/ min/1.73m2. All the equations had bias with respect to GF by CKD-EPI. The most accurate equation was GF estimated by MDRD-4 (MeGF) with 97.1 and 99.74% of measurements within 15 and 30%, respectively; and the least accurate was GF estimated by CG (CGeGF) with 59.7 and 81.77% of the measurements within 15 and 30%, respectively. The concordance correlation coefficient between GF by CKD-EPI and MDRD-4 was 0.97, with CG and CG-BSA at 0.78 and 0.85, respectively Conclusions: the most accurate alternative equation for estimating glomerular filtration in this Colombian population is MDRD-4, which has a high concordance with the CKD-EPI equation. Estimation of GF with the CG equation is not recommended.
Resumen Introducción: las guías colombianas de enfermedad renal crónica (ERC) recomiendan estimar la filtración glomerular (FG) con la fórmula de epidemiología de la enfermedad renal crónica (CKD-EPI). No se han realizado estudios que comparen en la población colombiana la exactitud de esta fórmula con otras utilizadas en la práctica clínica. Diseño y métodos: en 757 pacientes adultos evaluamos el desempeño para estimar la FG por las fórmulas de la modificación de la dieta en la enfermedad renal (MDRD-4), Cockroft-Gault (CG) y Cockroft-Gault corregida para la superficie corporal (CG-SC) comparada con la fórmula de CKD-EPI. El desempeño se evaluó con mediciones del sesgo, precisión y exactitud. Resultados: la media de la FG por CKD-EPI fue 37.32±12.71 mL/min/1.73m2, por MDRD-4 de 39.8±13.2 mL/min/1.73m2, por CG fue 35±12.6 mL/min y por CG-SC de 34.52±11.34 mL/ min/1.73m2. Todas las fórmulas tuvieron un sesgo con relación a la FG por CKD-EPI. La fórmula más exacta fue la FG estimada por MDRD-4 (FGeM) con una proporción de mediciones dentro del 15 y 30% en 97.1 y 99.74% de las mediciones respectivamente, y la menos exacta fue la FG estimada por CG (FGeCG) con 59.7 y 81.77% de las mediciones dentro del 15 y 30% respectivamente. El coeficiente de correlación de concordancia entre la FG por CKD-EPI y MDRD-4 fue de 0.97, con CG y CG-SC de 0.78 y 0.85, respectivamente. Conclusiones: la fórmula alterna más exacta para estimar la filtración glomerular en esta población colombiana es la MDRD-4 que tiene una alta concordancia con la fórmula de CKD-EPI. Se sugiere no utilizar la estimación de la FG con la fórmula de CG.
Subject(s)
Humans , Male , Female , Adult , Glomerular Filtration Rate , Kidney Diseases , Patients , Renal Insufficiency, Chronic , Latent Class AnalysisABSTRACT
Objective Drug-resistant tuberculosis (TB) may be resistant to one or multiple anti-TB drugs.We used generalized estimation equations to analysis the risk factors of drug-resistant TB and provide information for the establishment of a warning model for these non-independent data.Methods The drug susceptibility test and questionnaire survey were performed in sputum positive TB patients from 30 anti TB drug-resistance surveillance sites in Zhejiang province.The generalized estimation model was established by the GENMOD module of SAS,with resistance to 13 kinds of anti-TB drugs as dependent variables and possible influencing factors,such as age,having insurance,HBV infection status,and history of anti-TB drug intake,as independent variables.Results In this study,the probability of drug resistance at baseline level was 20.26％.Age,insurance,whether being co-infected with HBV,and treatment history or treatment withdrawal were statistically significantly correlated with anti-TB drug resistance.The prediction equation was established according to the influence degree of the factors mentioned above on drug resistance.Conclusion The generalized estimation equations can effectively and robustly analyze the correlated binary outcomes,and thus provide more comprehensive information for drug resistance risk factor evaluation and warning model establishment.
ABSTRACT
Objective Drug-resistant tuberculosis (TB) may be resistant to one or multiple anti-TB drugs.We used generalized estimation equations to analysis the risk factors of drug-resistant TB and provide information for the establishment of a warning model for these non-independent data.Methods The drug susceptibility test and questionnaire survey were performed in sputum positive TB patients from 30 anti TB drug-resistance surveillance sites in Zhejiang province.The generalized estimation model was established by the GENMOD module of SAS,with resistance to 13 kinds of anti-TB drugs as dependent variables and possible influencing factors,such as age,having insurance,HBV infection status,and history of anti-TB drug intake,as independent variables.Results In this study,the probability of drug resistance at baseline level was 20.26％.Age,insurance,whether being co-infected with HBV,and treatment history or treatment withdrawal were statistically significantly correlated with anti-TB drug resistance.The prediction equation was established according to the influence degree of the factors mentioned above on drug resistance.Conclusion The generalized estimation equations can effectively and robustly analyze the correlated binary outcomes,and thus provide more comprehensive information for drug resistance risk factor evaluation and warning model establishment.