Supplemental data:

Glucose control is associated with patient and graft survival in diabetic patients after renal transplantation

G. Heinze1, C. Mitterbauer2, A. Kainz2,5, H. Regele3, R. Kramar4, C. Schwarz2,5, W. Hörl2, R. Oberbauer2,4,5

1- Core Unit of Medical Statistics and Informatics, Medical University of Vienna, Austria
2- Department of Nephrology, Medical University of Vienna, Austria
3- Department of Pathology, Medical University of Vienna, Austria
4- Austrian Dialysis and Transplant Registry, Hospital Wels, Austria
5- Department of Nephrology, KH Elisabethinen, Linz, Austria


All supplemental data are available for downloaded as a single PDF document.

TABLES
FIGURES
Webtable 1 Webtable 1

Cox-regression: complete-cases-only analyses
Analysis is adjusted for: Number of antihypertensive drugs, cholesterol level, type of IS, year of TPL, MAP, donor age

Webfigure 1 Webfigure 1

Glucose (medians/maxima per patient and year) (truncated at 1000 units).

Webtable 2a

Webtable 2b

Webtable 2c 		Webtable 2 a b c

Complete-case-only analysis for Treatment comparison

a: Crude hazard ratios

b: Adjusted hazard ratios (multivariable Cox model; adjusted for number of antihypertensive drugs, peripheral vascular disease, cholesterol level, maximal glucose level, type of immunosuppression, year of transplantation, diabetes duration, donor age; 65 deaths, 65 graft losses).

c: Adjusted hazard ratio estimates from marginal structural Cox models; adjusted for number of antihypertensive drugs, peripheral vascular disease, cholesterol level, maximal glucose level, type of immunosuppression, year of transplantation, diabetes duration, donor age; 65 deaths, 65 graft losses).

 Webfigure 2 Webfigure 2

Hba1c (median per patient and year)

Webtable 3 Webtable 3

Crude hazard ratios for treatment comparison

Webfigure 3a

Webfigure 3b

Webfigure 3c

Webfigure 3d

 Webfigure 3 a b c d

Nonlinear estimation of adjusted association of glucose control and mortality Nonlinear estimation was performed using restricted cubic splines with knots placed at the 5th, 35th, 65th and 95th percentiles of the empirical distribution of each parameter (median glucose per year, HbA1c, maximal glucose per year).

Patient survival
a: Neither mean glucose levels (mg/dl) nor mean HbA1c (%) predicted mortality. Solid line indicate the HR, dashed lines the 95%CI.

b:

c:

d: The slope of this curve reaches a maximum at 207, i. e. at 207 there is maximal additional risk due to increase of maximal glucose by 1 unit

Webtable 4 Webtable 4

Adjusted hazard ratios for treatment comparison

Webfigure 4a

Webfigure 4b

Webfigure 4c

Webfigure 4d

 Webfigure 4 a b c d

Nonlinear estimation of adjusted association of glucose control and mortality Nonlinear estimation was performed using restricted cubic splines with knots placed at the 5th, 35th, 65th and 95th percentiles of the empirical distribution of each parameter (median glucose per year, HbA1c, maximal glucose per year).

Functional graft survival
a: Solid line indicate the HR, dashed lines the 95%CI.

b:

c: Maximal glucose per years, reference value 100

d: Maximal glucose per years, reference value 180

Webtable 5a

Webtable 5b

 Webtable 5 a b

Assessment of model assumptions

a: Re-analysis for maximal glucose.

b: Re-analysis for HbA1c.

 Webfigure 5a

Webfigure 5b

Webfigure 5c

 Webfigure 5 a b c

Nonlinear estimation of adjusted association of glucose control and mortality Nonlinear estimation was performed using restricted cubic splines with knots placed at the 5th, 35th, 65th and 95th percentiles of the empirical distribution of each parameter (median glucose per year, HbA1c, maximal glucose per year).

Actual graft survival
a: Solid line indicate the HR, dashed lines the 95%CI.

b:

c: Maximal glucose per years, reference value 100