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Pathophysiology/Complications

Risk Factors Associated With the Onset and Progression of Posttransplantation Diabetes in Renal Allograft Recipients

  1. Kyu Yeon Hur, MD, PHD1,
  2. Myoung Soo Kim, MD, PHD2,
  3. Yu Seun Kim, MD, PHD2,
  4. Eun Seok Kang, MD, PHD13,
  5. Jae Hyun Nam, MD, PHD1,
  6. So Hun Kim, MD1,
  7. Chung Mo Nam, PHD4,
  8. Chul Woo Ahn, MD, PHD13,
  9. Bong Soo Cha, MD, PHD13,
  10. Soon Il Kim, MD, PHD2 and
  11. Hyun Chul Lee, MD, PHD13
  1. 1Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
  2. 2Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
  3. 3Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea
  4. 4Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
  1. Soon Il Kim, MD, PhD, Department of Surgery, Yonsei University College of Medicine, 134 Shinchon-Dong Seodaemun-Gu, Seoul, 120-752, Korea. E-mail: soonkim{at}yumc.yonsei.ac.kr
  2. Address correspondence and reprint requests to Hyun Chul Lee, MD, PhD, Department of Internal Medicine, Yonsei University College of Medicine, 134 Shinchon-Dong Seodaemun-Gu, Seoul, 120-752, Korea. E-mail: endohclee{at}yumc.yonsei.ac.kr
Diabetes Care 2007 Mar; 30(3): 609-615. https://doi.org/10.2337/dc06-1277
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    Figure 1—

    Different courses of glucose metabolism in renal allograft recipients.

  • Figure 2—
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    Figure 2—

    Serial changes in insulin secretion and insulin sensitivity. A: Secr1PH. B: Secr2PH. C: SecrAUC. D: ISITX. E: Δ SecrAUC(SecrAUC [at year 1 or 7] − SecrAUC [before transplantation]. F: Δ ISITX (ISI [at year 1 or 7] − ISI [before transplantation]. *P < 0.05 and **P < 0.001, compared with N-PTDM7 at each time point by the Kruskal-Wallis test. Data are expressed as means ± SE. See equations in text for additional details.

Tables

  • Figures
  • Table 1—

    Demographic and clinical characteristics of different courses of PTDM

    P-PTDML-PTDMT-PTDMN-PTDM7
    n (% female)18 (61.1)†9 (28.6)12 (33.3)38 (26.3)
    Age (years)45.3 ± 10.1‡34.7 ± 10.631.3 ± 9.734.2 ± 9.2
    Family history of diabetes*8 (44.4)1 (11.1)3 (25)8 (21.1)
    Duration of dialysis (months)13.2 ± 16.17.6 ± 16.4 ± 8.617.7 ± 21.2
    HCV infection2 (11.1)0 (0)0 (0)1 (2.6)
    Donor type (LURDs)8 (66.7)2 (22.2)6 (50)8 (21.1)
    Calcineurin inhibitor
        CsA11 (61.1)7 (77.8)8 (66.7)32 (84.2)
        Tacrolimus7 (38.9)2 (22.2)4 (33.3)6 (15.8)
    MMF10 (55.6)5 (55.6)7 (58.3)16 (42.1)
    Acute rejection4 (22.2)1 (11.1)8 (66.7)0 (0)
    BMI (kg/m2)
        Before transplantation22.8 ± 3.222.9 ± 3.719.5 ± 2.321.0 ± 2.3
        1 year after transplantation24.0 ± 3.3‡24.0 ± 3.1†20.0 ± 2.321.6 ± 2.7
    FPG (mmol/l)
        Before transplantation4.8 ± 0.44.4 ± 0.74.7 ± 0.44.7 ± 0.4
        1 year after transplantation6.5 ± 1.1‡5.7 ± 0.6†5.2 ± 0.65.3 ± 0.6
    Total cholesterol (mmol/l)
        Before transplantation4.4 ± 0.94.2 ± 1.04.2 ± 0.73.9 ± 0.9
        1 year after transplantation6.4 ± 1.0†6.2 ± 0.85.7 ± 1.05.6 ± 1.1
    Triglycerides (mmol/l)
        Before transplantation2.2 ± 1.22.6 ± 1.11.9 ± 0.81.8 ± 1.1
        1 year after transplantation2.2 ± 0.72.8 ± 1.22.3 ± 2.72.1 ± 0.8
    • Data are expressed as n (%) or means ± SD.

    • *

      ↵* Family history of diabetes in a first-degree relative.

    • †

      ↵† P < 0.05,

    • ‡

      ↵‡ P < 0.001 vs. N-PTDM7. HCV, hepatitis C virus; LURD, living unrelated donor.

  • Table 2—

    Logistic regression analyses for risk factors associated with the various categories of PTDM compared with N-PTDM7

    VariablesNo. of patientsP-PTDM
    L-PTDM
    T-PTDM
    Crude OR*Adjusted OR†Crude OR*Adjusted OR†Crude OR*Adjusted OR†
    n18
    9
    12
    Age (years) at transplantation
        <40511.01.01.01.01.01.0
        ≥40267.5 (2.1–26.2)6.9 (1.9–25.7)1.9 (0.4–9.2)1.9 (0.4–9.3)1.3 (0.3–5.7)1.3 (0.3–6.1)
    Sex
        Male501.01.01.01.01.01.0
        Female274.4 (1.3–14.5)3.9 (1.1–14.7)0.8 (0.1–4.5)0.8 (0.1–4.5)1.4 (0.4–5.7)1.4 (0.4–5.9)
    Family history of diabetes‡
        No571.01.01.01.01.01.0
        Yes203.0 (0.9–10.1)3.0 (0.7–12.6)0.5 (0.1–4.3)0.4 (0.0–4.0)1.3 (0.3–5.7)1.3 (0.3–5.9)
    Calcineurin inhibitor
        CsA581.01.01.01.001.01.0
        Tacrolimus193.4 (0.9–12.3)3.9 (0.8–19.1)1.5 (0.3–9.2)1.4 (0.2–8.6)2.7 (0.6–11.8)2.8 (0.6–13.0)
    BMI (kg/m2) at 1 year
        <25631.01.01.01.01.01.0
        ≥25144.3 (1.0–17.7)2.1 (0.4–10.8)6.8 (1.3–36.3)7.4 (1.2–46.7)NANA
    FPG (mmol/l) at 1 year
        <5.6481.01.01.01.01.01.0
        ≥5.62918.7 (4.5–76.6)32.1 (4.6–223.2)6.7 (1.4–32.3)6.3 (1.3–31.5)2.7 (0.6–11.8)2.6 (0.6–11.6)
    • Data are expressed as OR (95% CI). Three logistic regression analyses included patients with P-PTDM vs. N-PTDM7 (n = 56), L-PTDM vs. N-PTDM7 (n = 47), and T-PTDM vs. N-PTDM7 (n = 50), respectively.

    • *

      ↵* Unadjusted, univariate logistic regression analysis,

    • †

      ↵† age- and sex-adjusted logistic regression analysis,

    • ‡

      ↵‡ family history of diabetes in a first-degree relative. NA, not applicable.

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Risk Factors Associated With the Onset and Progression of Posttransplantation Diabetes in Renal Allograft Recipients
Kyu Yeon Hur, Myoung Soo Kim, Yu Seun Kim, Eun Seok Kang, Jae Hyun Nam, So Hun Kim, Chung Mo Nam, Chul Woo Ahn, Bong Soo Cha, Soon Il Kim, Hyun Chul Lee
Diabetes Care Mar 2007, 30 (3) 609-615; DOI: 10.2337/dc06-1277

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Risk Factors Associated With the Onset and Progression of Posttransplantation Diabetes in Renal Allograft Recipients
Kyu Yeon Hur, Myoung Soo Kim, Yu Seun Kim, Eun Seok Kang, Jae Hyun Nam, So Hun Kim, Chung Mo Nam, Chul Woo Ahn, Bong Soo Cha, Soon Il Kim, Hyun Chul Lee
Diabetes Care Mar 2007, 30 (3) 609-615; DOI: 10.2337/dc06-1277
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