Posttransplant Overweight and Obesity: Myth or Reality?
D. Jezior , M. Krajewska , K. Madziarska , Bożena Kurc-Darak , Dariusz Janczak , D. Patrzałek , Krzysztof Borysławski , M. Klinger
AbstractPosttransplant body mass index (BMI) increase in kidney transplant recipients is an underestimated issue, predisposing to morbidity linked with development of polymetabolic syndrome. Aim: The aim of the study was to assess the incidence of overweight and obesity among endstage renal disease patients before and after kidney transplantation. Material: Four hundred eighteen kidney graft recipients were enrolled in the study which lasted a mean of 56 months. Inhabitants of Lower Silesia (n = 3855) were used as controls. Overweight was defined as BMI between 25 and 30 kg/m2 and obesity as >30 kg/m2. Methods: Mean BMI calculated in 418 patients, both pretransplant and after a 4.5-year observation period was compared with results of the Lower Silesian population. Results: Mean pretransplant BMI in men (n = 242) and women (n = 189) was lower than in controls: men pretransplant BMI 24.3 kg/m2 versus 25.7 kg/m2 in the normal population; women, pretransplant BMI 23.17 kg/m2 versus 25.2 kg/m2 in the control group respectively. Mean total pretransplant BMI values increased from 23.82 to 25.9 kg/m2 at last checkup ("last BMI"). A lesser posttransplant BMI increase was noted in men (7%) compared with women (9.6%). Before transplant, overweight or obesity occurred in 38% (n = 157), after a 4.5-year observation period, 65% (n = 232). Conclusions: Our observations documented that obesity is a widespread issue in kidney graft recipients, affecting two thirds of the population. It should be the target of preventive measures and nonpharmacologic therapeutic interventions.
|Journal series||Transplantation Proceedings, ISSN 0041-1345, e-ISSN 1873-2623, (A 15 pkt)|
|Publication size in sheets||0.5|
|Publication indicators||= 16; = 17; : 2007 = 0.51; : 2007 = 1.027 (2) - 2007=0.821 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.