Voiding Profile in Recipients Post Renal Transplant
dr. Harrina Erlianti Rahardjo (1), dr. Fina Widia (1), dr. Dyandra Parkesit (2), dr. Muhammad Iqbal Tafwid (2), dr. Indra Wicaksono (2)
(1) Urology FMUI RSCM & Indonesia Continence Society, Central Jakarta, Indonesia, (2) Department of Urology FMUI RSCM, Central Jakarta, Indonesia
Number of renal transplantation (RTX) surgeries is expected to increased due to higher survival rates, better quality of life, and better clinical result compare to dialysis. However, patients with long term dialysis have decreased bladder function due to disuses.1 This study aims to evaluate voiding characteristics of recipient after renal transplant surgery.
All sample were collected from living donor transplantation recipients in Cipto Mangunkusumo General Referral Hospital, Indonesia. Anthropometric parameters, physical examinations, cause of chronic kidney disease (CKD), daily urine production, duration of dialysis, and basic laboratory examination were collected presurgically. While, post operative laboratory examination, International prostate symptom score (IPSS) for male patients, Overactive bladder symptom score (OABSS), uroflowmetry, and post void residue (PVR) was gathered postsurgically.
Seventy-one patients were evaluated with mean age of 46 ± 17.9 years old, male-female ratio of 52 : 19, average Qmax of 22 ± 9.8 cc/s, and median PVR of 33.5 cc (2.3 – 142). IPSS result shows that frequency [2 (0 – 5)] and nocturia [2 (0 – 5)] are the main problems post-surgically (n: 52) confirmed by OABSS result of 1 (0 – 2) and 2 (0 – 3) for OABSS question 1 and 2, respectively. On multivariate analysis, OABSS score was found to be significantly correlated (R2 17,7%, p-value 0,001) with patient age and daily urine production whereas Qmax score is significantly correlated (R2 26,3%; p-value 0,001) with patient age, gender, hypertension, diabetes mellitus, and daily urine production.
Several voiding characteristics after RTX can be predicted by evaluating pre-operative factors which could be used to predict the care needed postsurgically.