{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T17:58:49Z","timestamp":1789840729075,"version":"4.0.1"},"reference-count":17,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>New-onset diabetes after transplantation (NODAT) develops frequently after renal transplant. The study aims at the prevalence of NODAT, predictors for developing it and therapeutic glycemic responses in NODAT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>\n                      Consecutive renal transplant recipients excluding Diabetic Kidney Disease (DKD) or pretransplant diabetes were evaluated. Forty-three out of 250 persons were found to have NODAT. Ninety age-matched transplant recipients from the rest were recruited as control. Fasting blood sugar (FBS), HbA1c, lipid profile, and trough tacrolimus level (T\n                      <jats:sub>0<\/jats:sub>\n                      ) were examined in all. HOMA IR C-peptide and HOMA-beta C-peptide were calculated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Prevalence of NODAT in renal transplant recipients was 17.2% (43\/250). Twenty-four (55.8%) developed early NODAT (&lt;1 year) and 19 (44.2%) developed late NODAT (&gt;1 year). Significantly higher pretransplant body mass index (BMI) (kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), waist circumference (WC) (cm) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), pretransplant cholesterol (mg%) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.04), triglyceride (mg%) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), and FBS (mg%) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001) were found in NODAT compared with non-NODAT. Trough tacrolimus (ng\/mL) was found to be higher in NODAT (10.2 vs. 5.37,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). Though HOMA IR was not found to be different between groups, HOMA-beta C-peptide was low in NODAT compared with non-NODAT (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.03). Predictors of NODAT were WC [odds ratio (OR) = 01.15] and trough tacrolimus level (OR = 1.316). Best cut-off of WC for predicting NODAT was 87.5 cm for male and 83.5 cm for female. Best cut-off of T\n                      <jats:sub>0<\/jats:sub>\n                      was 8.5 ng\/mL. In NODAT, 9.3% were treated by lifestyle modification, 67.4% by oral hypoglycemic agents, 11.6% by insulin, and 11.6% by combined insulin and oral antidiabetic agents with HbA1c &lt;7%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>NODAT in renal transplant recipients is more common in those with higher pretransplant BMI, WC, pretransplant total cholesterol, triglyceride, and FBS. Beta-cell secretory defect is more relevant as etiological factor rather than insulin resistance. Higher WC and trough tacrolimus level above 8.5 ng\/mL may be important factors for predicting NODAT.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/ijem.ijem_178_19","type":"journal-article","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T06:58:27Z","timestamp":1564383507000},"page":"273-277","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":22,"title":["Prevalence and Predictors of \u201cNew-onset Diabetes after Transplantation\u201d (NODAT) in Renal Transplant Recipients: An Observational Study"],"prefix":"10.4103","volume":"23","author":[{"given":"Partha Sarathi","family":"Choudhury","sequence":"first","affiliation":[{"name":"Department of Endocrinology, Medical College, Kolkata, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradip","family":"Mukhopadhyay","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, IPGME&R, Kolkata, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arpita","family":"Roychowdhary","sequence":"additional","affiliation":[{"name":"Department of Nephrology, IPGME&R, Kolkata, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Subhankar","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, IPGME&R, Kolkata, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sujoy","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, IPGME&R, Kolkata, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R1-20260327","doi-asserted-by":"crossref","first-page":"SS3","DOI":"10.1097\/01.TP.0000069952.49242.3E","article-title":"New-onset diabetes after transplantation: 2003 International Consensus 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