Literature DB >> 18786231

Comparative risk of impaired glucose metabolism associated with cyclosporine versus tacrolimus in the late posttransplant period.

F L Luan1, H Zhang, D E Schaubel, C D Miles, D Cibrik, S Norman, A O Ojo.   

Abstract

New onset diabetes after transplantation (NODAT) and impaired fasting glucose (IFG) are common in kidney transplant recipients (KTRs). Calcinuerin inhibitor (CNI) therapy is a causal risk factor. NODAT is associated with increased mortality and diminished graft survival. We studied the incidence of NODAT and IFG in KTRs before and after a medically indicated switch of CNI therapy from cyclosporine (CsA) to tacrolimus (Tac). The study population consisted of 704 nondiabetic KTRs. Of them, 171 underwent conversion from CsA to Tac (group I) and 533 remained on the CsA since transplantation (Group II). Time-dependent Cox regression and generalized estimating equations were used to account for sequential CNI exposure. NODAT and IFG occurred in 15.2% and 22.1% of group I subjects and 15.6% and 25.8% of group II subjects, respectively (p = 0.90 for NODAT and p = 0.38 for IFG). Accounting for equal follow-up time since conversion from CsA to Tac, the adjusted 5-year NODAT-free survival was 87.4% and 91.4% in group I and group II, respectively (p = 0.90). In conclusion, conversion to Tac, compared to continuous exposure to CsA, carries quantitatively similar risk of impaired glucose metabolism in KTRs in the late posttransplant period.

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Year:  2008        PMID: 18786231     DOI: 10.1111/j.1600-6143.2008.02328.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  12 in total

1.  Novel views on new-onset diabetes after transplantation: development, prevention and treatment.

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Journal:  Nephrol Dial Transplant       Date:  2013-01-17       Impact factor: 5.992

Review 2.  New-onset diabetes mellitus after kidney transplantation: Current status and future directions.

Authors:  Sneha Palepu; G V Ramesh Prasad
Journal:  World J Diabetes       Date:  2015-04-15

Review 3.  Kidney transplantation in obese patients.

Authors:  Minh-Ha Tran; Clarence E Foster; Kamyar Kalantar-Zadeh; Hirohito Ichii
Journal:  World J Transplant       Date:  2016-03-24

Review 4.  Diabetes and kidney transplantation: past, present, and future.

Authors:  Giselle Guerra; Amna Ilahe; Gaetano Ciancio
Journal:  Curr Diab Rep       Date:  2012-10       Impact factor: 4.810

Review 5.  Risk factors for new-onset diabetes after kidney transplantation.

Authors:  Adnan Sharif; Keshwar Baboolal
Journal:  Nat Rev Nephrol       Date:  2010-05-25       Impact factor: 28.314

6.  Abnormal glucose metabolism and metabolic syndrome in non-diabetic kidney transplant recipients early after transplantation.

Authors:  Fu L Luan; Linda J Stuckey; Akinlolu O Ojo
Journal:  Transplantation       Date:  2010-04-27       Impact factor: 4.939

7.  Differential risks for adverse outcomes 3 years after kidney transplantation based on initial immunosuppression regimen: a national study.

Authors:  Vikas R Dharnidharka; Mark A Schnitzler; Jiajing Chen; Daniel C Brennan; David Axelrod; Dorry L Segev; Kenneth B Schechtman; Jie Zheng; Krista L Lentine
Journal:  Transpl Int       Date:  2016-09-28       Impact factor: 3.782

Review 8.  Immunosuppressive drugs in kidney transplantation: impact on patient survival, and incidence of cardiovascular disease, malignancy and infection.

Authors:  Roberto Marcén
Journal:  Drugs       Date:  2009-11-12       Impact factor: 9.546

9.  New-Onset Diabetes Mellitus Associated with Sirolimus Use in Renal Transplant Recipients.

Authors:  Vural Taner Yilmaz; Huseyin Kocak; Ayhan Dinckan; Ramazan Cetinkaya
Journal:  Eurasian J Med       Date:  2015-10

10.  Influencing factors of new-onset diabetes after a renal transplant and their effects on complications and survival rate.

Authors:  Chaoyang Lv; Minling Chen; Ming Xu; Guiping Xu; Yao Zhang; Shunmei He; Mengjuan Xue; Jian Gao; Mingxiang Yu; Xin Gao; Tongyu Zhu
Journal:  PLoS One       Date:  2014-06-09       Impact factor: 3.240

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