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Letter| Volume 131, ISSUE 8, e349-e351, August 2018

The Reply

      Numerous National Institutes of Health and industry-sponsored outcome trials, including FAVORIT, have considered diabetes as a checkbox diagnosis devoid of granularity, without defining type, duration, severity (therapeutic resistance or glycemic control), or diabetes-related comorbidity (retinopathy/blindness, neuropathy, nephropathy, or amputation). Assumptions that new onset diabetes after transplantation (NODAT) would have different outcomes than preexistent diabetes cannot be adequately explored from such retrospective database analyses. Our study included patients who had prior transplants, without recording of time of onset, duration, or relation between immunosuppressant therapy and diabetes.
      • Weinrauch LA
      • D'Elia JA
      • Weir MR
      • et al.
      Infection and malignancy outweigh cardiovascular mortality in kidney transplant recipients: post hoc analysis of the FAVORIT Trial.
      We would suggest that more standardized data be utilized for future trials for both baseline data collection
      • Arnold SV
      • Inzucchi SE
      • McGuire DK
      • et al.
      Evaluating the quality of comprehensive cardiometabolic care for patients with type 2 diabetes in the U.S.: the Diabetes Collaborative Registry.
      and appropriate event adjudication.
      • Hicks KA
      • Mahaffey KW
      • Mehran R
      • et al.
      on behalf of the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI). 2017 cardiovascular and stroke endpoint definitions for clinical trials.
      In response to the thoughtful questions raised by Drs. Wallia and Mollitch, we evaluated strategies for a glucose control trial assuming that NODAT patients might be less likely to receive complex insulin regimens. If this is accurate, then one could infer a similar increased hazard risk for NODAT to preexistent diabetes. This is the best that we can do in this database. This method has been used in other clinical outcome trials.
      • Weinrauch LA
      • D'Elia J
      • Finn PV
      • et al.
      Strategies for glucose control in a study population with diabetes, renal disease and anemia (TREAT study).
      Table1 depicts the increased hazardsfor mortality associated with these strategies for glycemic control. Demonstrated are the statistically significant increases in all-cause and noncardiovascular mortality associated with a diagnosis of diabetes, whether requiring medications or not. Also evident are further increases in mortality (especially from an infectious cause) associated with the use of insulin. Disputed suggestions that posttransplant diabetes may not carry the same risk as pretransplant diabetes are based upon relatively short-term observation of limited populations with inadequate adjudication, definition, and capture of events.
      • Gaynor JJ
      • Ciancio G
      • Guerra G
      • et al.
      Single-centre study of 628 adult primary kidney transplant recipients showing no unfavourable effect of new-onset diabetes after transplant.
      • Cooper L
      • Oz N
      • Fishman G
      • et al.
      New onset diabetes after kidney transplantation is associated with increased mortality—a retrospective cohort study.
      • Ertelt K
      • Brener SJ
      • Mehran R
      • Ben-Yehuda O
      • McAndrew T
      • Stone GW
      Comparison of outcomes and prognosis of patients with versus without newly diagnosed diabetes mellitus after primary percutaneous coronary intervention for ST-elevation myocardial infarction (the HORIZONS-AMI Study).
      We caution those anticipating that NODAT not be associated with increased infection rates should carefully reexamine the data.
      Table1Mortality Based on Absence or Presence of Diabetes, Glycemic Medication, and Insulin Groupings
      Number and Percentage of Participants with Event, and Incidence Rates (per 100 person-years)
      No DM

      (n=2447)
      DM, No Meds

      (n=465)
      DM, Meds, No INS

      (n=292)
      DM, with INS

      (n=720)
      DM, Meds and INS

      (n=186)
      All-Cause Mortality199 (8.2%)

      2.2 per 100 pyr
      57 (12.3%)

      3.0 per 100 pyr
      40 (13.7%)

      3.4 per 100 pyr
      165 (22.9%)

      5.9 per 100 pyr
      32 (17.2%)

      4.2 per 100 pyr
      Unadjusted model (hazard ratio), P valueref1.39 (1.04-1.87)

      .029
      1.66 (1.18-2.33)

      .003
      2.81 (2.28-3.45)

      <.001
      2.09 (1.44-3.04)

      <.001
      Adjusted model
      Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status. DM, diabetes; INS, insulin; med, medication.
      (hazard ratio), P value
      ref1.67 (1.21-2.32)

      .002
      1.41 (0.96-2.08)

      .08
      2.62 (2.08-3.31)

      <.001
      1.74 (1.14-2.67)

      .011
      Cardiovascular Death62 (2.6%)

      .6
      19 (4.1%)

      1.0
      15 (5.2%)

      1.3
      82 (11.4%)

      3.0
      13 (7.1%)

      1.7
      Unadjustedref1.48 (0.88-2.48)

      .14
      1.96 (1.11-3.44)

      .02
      4.51 (3.24-6.29)

      <.001
      2.71 (1.49-4.94)

      .001
      Adjusted model
      Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status. DM, diabetes; INS, insulin; med, medication.
      ref1.74 (1.01-3.00)

      .046
      1.98 (1.09-3.60)

      .025
      3.79 (2.62-5.47)

      <.001
      1.90 (0.93-3.89)

      .08
      Noncardiovascular death128 (5.2%)

      1.3
      37 (8.0%)

      1.9
      25 (8.6%)

      2.1
      77 (10.7%)

      2.7
      19 (10.2%)

      2.5
      Unadjustedref1.39 (0.96-2.01)

      .08
      1.63 (1.06-2.50)

      .026
      2.03 (1.52-2.69)

      <.001
      1.95 (1.20-3.16)

      .007
      Adjusted model
      Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status. DM, diabetes; INS, insulin; med, medication.
      ref1.82 (1.21-2.75)

      .004
      1.25 (0.74-2.10)

      .41
      2.06 (1.50-2.85)

      <.001
      1.80 (1.05-3.09)

      .031
      Infection42 (1.7%)

      0.4
      13 (2.8%)

      .7
      11 (3.8%)

      .9
      37 (5.1%)

      1.3
      10 (5.4%)

      1.3
      Unadjustedref1.45 (0.78-2.71)

      .24
      2.17 (1.12-4.21)

      .022
      2.93 (1.88-4.57)

      <.001
      3.11 (1.56-6.21)

      .001
      Adjusted model
      Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status. DM, diabetes; INS, insulin; med, medication.
      ref1.61 (0.76-3.41)

      .21
      1.80 (0.82-3.93)

      .14
      2.99 (1.79-5.00)

      <.001
      3.22 (1.53-6.96)

      .002
      Malignancy42 (1.7%)

      0.4
      11 (2.4%)

      .6
      5 (1.7%)

      .4
      11 (1.5%)

      .4
      7 (3.8%)

      .9
      Unadjustedref1.30 (0.67-2.55)

      .44
      1.01 (0.40-2.56)

      .98
      0.89 (0.46-1.73)

      .73
      2.14 (0.96-4.76)

      .06
      Adjusted model
      Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status. DM, diabetes; INS, insulin; med, medication.
      ref1.71 (0.83-3.52)

      .14
      0.62 (0.19-2.03)

      .43
      0.87 (0.43-1.78)

      .71
      1.81 (0.74-4.38)

      .19
      low asterisk Adjusted for country, age, race, sex, smoking status, systolic blood pressure, low-density lipoprotein, and chronic kidney disease status.DM, diabetes; INS, insulin; med, medication.

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        • Weir MR
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        • Inzucchi SE
        • McGuire DK
        • et al.
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        • Mehran R
        • et al.
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        • Ciancio G
        • Guerra G
        • et al.
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        • Oz N
        • Fishman G
        • et al.
        New onset diabetes after kidney transplantation is associated with increased mortality—a retrospective cohort study.
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