Indian Journal of Endocrinology and Metabolism

LETTERS TO THE EDITOR
Year
: 2018  |  Volume : 22  |  Issue : 6  |  Page : 852--853

Diagnosing post-transplant diabetes – The need for capillary glucose monitoring


Krithika D Muralidhara1, Subramanian Kannan2,  
1 Department of Nephrology, Narayana Health City, Bangalore, Karnataka, India
2 Department of Endocrinology, Narayana Health City, Bangalore, Karnataka, India

Correspondence Address:
Subramanian Kannan
Department of Endocrinology Diabetes and Metabolism, Narayana Health City, 258/A, Bommasandra Industrial Area, Hosur Road, Bangalore - 560 099, Karnataka
India




How to cite this article:
Muralidhara KD, Kannan S. Diagnosing post-transplant diabetes – The need for capillary glucose monitoring.Indian J Endocr Metab 2018;22:852-853


How to cite this URL:
Muralidhara KD, Kannan S. Diagnosing post-transplant diabetes – The need for capillary glucose monitoring. Indian J Endocr Metab [serial online] 2018 [cited 2019 Dec 7 ];22:852-853
Available from: http://www.ijem.in/text.asp?2018/22/6/852/246851


Full Text



Sir,

We read with interest the study by Kumar et al.[1] on the preoperative risk factors for the development of post-transplant diabetes mellitus (PTDM). The authors have reported an incidence of 24% of PTDM in a follow-up period of 12 months. In addition to the known risk factors of prediabetes, family history of diabetes, and age, the authors have looked at markers of insulin sensitivity and insulin resistance which have predictably correlated with the development of PTDM. However, the study does not specify the methods, that is, 75 g oral glucose tolerance test, fasting or post-meal glucose or capillary glucose, that were used to diagnose PTDM in the follow-up period. Fasting glucose levels carry low sensitivity in the diagnosis of PTDM because a majority of them develop post-meal hyperglycemia with peak glucose levels after lunch and after dinner. This pattern of steroid aggravated hyperglycemia has a clinical bearing on the tools used to diagnose PTDM.[2] They have also not mentioned the details of patients who developed transient hyperglycemia in the immediate postoperative period which has a bearing on the development of PTDM.[3]

We carried out a similar prospective observational cohort study in nondiabetic patients undergoing renal transplant at our center and currently have data up to 6 months post-transplant. The mean age of our patients was 36 years with 80% males and an average dialysis vintage of 9 months. We used capillary glucose measurements (CBG) post breakfast, post lunch, and post dinner which patients checked thrice a week in the first month and once a week in the next 5 months as part of clinical care monitoring. More than two values of post-meal CBG ≥200 were diagnosed as PTDM. In addition, 75 g glucose tolerance testing was done monthly. The incidence of PTDM in our study was 37% with a cumulative incidence of 20% at the end of the first month, 30% at the third month, and 37% at the sixth month of follow-up after transplant. A diagnosis of PTDM in two-thirds of our patients was made by home-monitored CBG. Post-lunch and post-dinner CBG values clearly separated out early in the follow up and were significantly higher in the PTDM group compared with the non-PTDM group (P = 0.04) [Figure 1]a and [Figure 1]b. The presence of post-transplant transient hyperglycemia was found to have significant association with future development of PTDM. Our observation did not demonstrate an association between pre-transplant body mass index, HCV-positive status, hypomagnesemia, cumulative dose of immunosuppressive medication, and rejection episodes with the occurrence of PTDM.{Figure 1}

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

References

1Kumar S, Sanyal D, Das P, Bhattacharjee K, Rungta R. An observational prospective study to evaluate the preoperative risk factors of new-onset diabetes mellitus after renal transplantation in a tertiary care centre in eastern India. Indian J Endocr Metab 2018;22:610-5.
2Somannavar S, Ganesan A, Deepa M, Datta M, Mohan V. Random capillary blood glucose cut points for diabetes and pre-diabetes derived from community-based opportunistic screening in India. Diabetes Care 2009;32:641-3.
3Sharif A, Hecking M, de Vries AP, Porrini E, Hornum M, Rasoul-Rockenschaub S, et al. Proceedings from an international consensus meeting on post-transplantation diabetes mellitus: recommendations and future directions. Am J Transplant 2014;14:1992-2000.