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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Kidney transplantation is a life-saving treatment for end-stage renal disease (ESRD), providing better survival and quality of life than renal replacement therapy. Globally, the median incidence of kidney transplantation is 14 per million population. In the Philippines only 10% of the total number of ESRD patients undergo Kidney transplantation. Prediction models were created to integrate numerous clinical characteristics to predict the probability of graft loss. Hence, the Living Kidney Donor Profile Index Calculator (LKDPI) was created to assess graft quality based on donor characteristics. LKDPI calculator was developed and is user friendly which allows the user to input information such as age, height, sex and eGFR and will automatically compute the LKDPI score making it convenient for nephrologist to assess potential donors. A study done by Massie, among all living donors, 26.5% had LKDPI<0, indicating less risk than any deceased donor kidney; 5.0% of living donors had LKDPI>50, indicating greater risk than the median deceased donor kidney. This improves organ allocation, reduces graft loss, and enhances long-term outcomes among kidney transplant recipients (KTR). This study aims to validate LKDPI among kidney transplant patients in St. Luke’s Medical Center Quezon City, offering a cost-effective approach to enhance donor selection and transplant success.
General Objective
To determine the predictive value of Living Kidney Donor Profile Index (LKDPI) calculator among kidney transplant patients at St. Luke's Medical Center, Quezon City (SLMC QC), from 2018 to 2024.
Specific objective
This study aimed to learn the baseline characteristics among kidney transplant patients in SLMC QC and to determine predictive value living donor KDPI calculator by predicting total graft failure among KT recipients in SLMC QC from 2018 to 2024 using Kaplan-Meir curve and Cox proportional hazards model.
This is a retrospective, single-center cohort analysis of kidney transplant recipients with living kidney donors at St. Luke's Medical Center, Quezon City, covering the years 2018 to 2024. The primary outcome of the study is total graft failure defined as the need for chronic dialysis, retransplantation or death with graft function. All cases were included in the study; however, only 69 patients fulfilled the inclusion criteria. The relationship between LKDPI score and total graft failure was assessed using Cox proportional hazard model. The performance of the model is validated and evaluated using discrimination and calibration.
A total of 69 first-time adult living donor KTR were included in the study. The mean LKDPI was 3.74 ± 18.96. At least 50% of the LKDPI scores are at least -3.00 with an interquartile ranging from -17.00 to 9.00. Higher LKDPI scores were associated with an increased risk of total graft failure. It indicates that for every 1-unit increase in LKDPI, the hazard increases by approximately 2% (HR 1.02, 95% confidence interval from 0.96 to 1.08). The discrimination is poor (C statistic of 0.53, 95% CI = 0.51-0.55). Calibration was good at 1 year post transplant but suboptimal 3- and 5-years post-transplant.
Study Population and Characteristics
Relationship Between LKDPI and Total Graft Failure
The mean LKDPI was 3.74 ± 18.96. Also, at least 50% of the LKDPI scores are least -3.00 with an interquartile ranging from -17.00 to 9.00. The lowest LKDPI score is -49 while the highest LKDPI score is 42. Majority of the living donors KTR had LKDPI values less than zero at 56.5%. The follow ups were done at 1 year, 3 years and 5 years after the operation. Over the follow-ups, there were 3 graft failures out of 69.
Performance Assessment of the LKDPI in an External Cohort of Living Donor KTR
The p-value (0.509) indicates that there is no statistical significance at the level of significance, alpha = 0.05, the hazard ratio (1.02, 95% confidence interval from 0.96 to 1.08) indicates that for every 1-unit increase in LKDPI, the hazard increases by approximately 2%.
The C statistic for the model in our external cohort was 0.53 (95% CI = 0.51-0.55). The discordances were highlighted at 1-, 3-, and 5-years posttransplant.
LKDPI was found to be useful in evaluating graft quality after kidney transplantation in LDKT cohort in the Philippines. Although the results showed modestly predicts graft failure, LKDPI is simple, easy to use and accessible to physicians. It can be an effective tool for evaluating donor kidneys not just in the US where it was derived but also other countries like the Philippines. Further studies with bigger cohort and multiple centers could increase the power and robustness of the study. Since this study is done retrospectively, the authors suggest to do a prospective study assessing the effectiveness of LKDPI. Finally, further study with bigger population is needed to determine the predictive performance of LKDPI prior to implementation for better decision-making than clinical judgment alone, and subsequent improvement in transplant outcomes.
