G. Heinze(1), C. Mitterbauer(2), A. Kainz(2,5), H. Regele(3), R. Kramar(4), C. Schwarz(2,5), W. Hörl(2), R. Oberbauer(2,4,5)
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
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
Glucose (medians/maxima per patient and year) (truncated at 1000 units).
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Hba1c (median per patient and year)
View PDFComplete-case-only analysis for Treatment comparison
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).
View PDFComplete-case-only analysis for Treatment comparison
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).
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Crude hazard ratios for treatment comparison.
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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.
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).
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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).
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Patient survival
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
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Crude hazard ratios for treatment comparison.
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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.
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).
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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.
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).
View PDF
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).
c: Maximal glucose per years, reference value 100
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