Surgical Stress Hyperglycemia Associated With New-Onset Diabetes in Living Kidney Donors
Transplantation Proceedings, cilt.51, sa.7, ss.2228-2231, 2019 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 51 Sayı: 7
- Basım Tarihi: 2019
- Doi Numarası: 10.1016/j.transproceed.2019.01.189
- Dergi Adı: Transplantation Proceedings
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.2228-2231
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Background: The aim of this study is to investigate the frequency and risk factors of new-onset diabetes after donation in kidney donors without diabetes. Methods: Living donors of kidney transplants between 1998 and 2016 were evaluated. To detect the blood glucose profile of the donors, preoperative fasting glucose (pro-G), nephrectomy evening glucose (nG), and postoperative day 1 fasting glucose (post-G) values were measured. Results: A total of 195 cases were included in the study. The mean follow-up time in months ± SD (range) was 56 ± 45 (12–215). Of these, 28 (14.3%) donors developed diabetes. The pro-G (103 ± 7.6 vs 93 ± 9.0), nG (208 ± 122 vs 163 ± 67) and post-G (121 ± 25 vs 111 ± 21) values of the donors with new-onset diabetes were higher. Nineteen donors (9.7%) had normal pro-G, nG, and post-G values (group A). However, there were 153 (78.5%) cases with at least 1 abnormal value (group B) and 25 (12.8%) cases that had abnormal values in all (pro-G, nG, and post-G) measurements (group C). The incidence of new-onset diabetes was 0 (0%) in group A, 11% in group B, and 48% in group C (P < .001). In multiple regression analysis, pro-G (Exp[B], 1.08; 95% CI, 1.04–1.13; P < .001) and basal glomerular filtration rate (Exp[B], 0.96; 95% CI, 0.94–0.99; P < .01) independently associated with new-onset diabetes. Conclusions: In kidney donors without a history of diabetes, the development of diabetes after donor nephrectomy is an important problem. Pre- and postoperative blood glucose levels provide important information to predict these cases.