Abstract: PUB547
Comparison of Estimated Glomerular Filtration Rate in Mexican Kidney Transplant Recipients
Session Information
Category: Transplantation
- 2102 Transplantation: Clinical
Authors
- Verdugo, Samantha Isabel, Instituto Mexicano del Seguro Social Delegacion Jalisco, Guadalajara, Jalisco, Mexico
- Flores Fonseca, Milagros Melissa, Instituto Mexicano del Seguro Social Delegacion Jalisco, Guadalajara, Jalisco, Mexico
- Garcia-Rivera, Alejandro, Instituto Mexicano del Seguro Social Delegacion Jalisco, Guadalajara, Jalisco, Mexico
- Sanchez-Vazquez, Omar Humberto, Instituto Mexicano del Seguro Social Delegacion Jalisco, Guadalajara, Jalisco, Mexico
- Camacho-Murillo, Luis Agustín, Instituto Mexicano del Seguro Social Delegacion Jalisco, Guadalajara, Jalisco, Mexico
- Velasco, Sandra Fabiola, Universidad de Guadalajara Centro Universitario de Ciencias Exactas e Ingenieria, Guadalajara, Jalisco, Mexico
Background
Assessment of glomerular filtration rate (GFR) is important in the follow-up of patients after receiving a kidney transplant (KT). Several studies have evaluated the performance of based creatinine eGFR-equations in KT. The purpose of our study was to compare the two current main eGFR-equations, MDRD and the CKD-EPI 2021, in Mexican KT recipients (KTR).
Methods
For each kidney transplant recipient, we collected data on age, gender, serum creatinine, eGFR (mL/min/1.73m2), maintenance immunosuppression who were under follow up between June 2023 and May 2024 from the HGRl 110 Oblatos, IMSS. For all patients, race was chosen “not African-American” and eGFR was calculated using the MDRD and CKD–EPI formulas.
Results
Overall, 98 participants were included in the study, in whom 294 eGFR values were measured and estimated. Mean age 37.33 SD ± 10.59, 68% male and a mean time from transplantation to GFR evaluation was 10.43 years ± 6.43 years. The mean MDRD eGFR was 61.78 ± 22.57 mL/min/1.73 m2 and mean CKD EPI eGFR was 71.47 ± 24.52 mL/min/1.73 m2. When analyzed according to gender or age groups none significant were observed in terms of age, creatinine or eGFR. When correlation analysis was performed, there was a negative low correlation between the MDRD and gender (R=-0.21, p = 0.038) and a strong positive correlation between eGFR equations (R= 0.975, p<0.01). The combined CKD-EPI and MDRD equation are in a Bland Altman plot (Figure 1A), with the bias and its 95% CI.
Conclusion
Although there is a strong association between these creatinine-based equations in estimating GFR in Mexican kidney transplant patients. We need to confirm in our population, if the rise of creatinine provides outcome prediction in KT or if our attention should move forward to other markers in the reinforcement of eGFR power.