P.Rebollo, J.Baltar, F.Ortega, M.Rodríguez, E.Gómez, J.Alvarez-Grande.
Hospital Central de Asturias and Institute "Reina Sofía" for nephrological research.
C/ Celestino Villamil S/N. 33006. Oviedo. Spain.
Sponsorship: FIS founds (Nº 96/1327)
The purpose of the study was to investigate the sociodemographic and clinical variables which influence the HRQOL of kidney transplant patients of our region.
Methods: A transversal study was carried out with all transplant patients in our region (N=276). Excluded patients: 57 because no collaboration (being in an excellent situation), 2 because return to dialysis, and 7 because cognitive problems. 210 included patients. HRQOL measures: spanish version of the Sickness Impact Profile-SIP and the SF-36 Health Survey.
Data collected:sociodemographic data, clinical data (renal disease diagnosis, time on each kind of renal replacement therapy-RRT, hospital admissions, analitics, Karnofsky Scale-KS, and a specific comorbidity index-CI).
A regression model was performed (step by step) for the SIP dimensions (logistic regression) and the SF-36 summary scores (linear multiple regression) using all variables associated with HRQOL in univariant analysis (with p<0.05).
Results: Median age=51 years (41-60); 66.7% males; median time on RRT= 68 months(37-119); albumin= 4.4±0.4 gr/dL; 74.3% with no hospital admissions during last year; mean CI=2.2±2; median KS= 70(60-80). Lower KS score, and higher CI were associated with higher score (worse HRQOL) in the SIP dimensions. Lower KS score, higher CI, younger age, higher economic level, higher time on dialysis before renal transplant, and higher time with functioning renal transplant were associated with lower scores (worse HRQOL) in the SF-36 summary scores. R2 coefficients were 0.307, 0.225 and 0.335 for the SIP dimensions; and 0.270 and 0.077 for the SF-36 summary scores.
Conclusions: The low R2 coef. of the regression models could indicate that HRQOL of transplant pts. was also influenced by other individual factors different to the studied variables.