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Observational Study
. 2014 Sep;37(9):2601-8.
doi: 10.2337/dc13-1983. Epub 2014 Jun 4.

Synergism between circulating tumor necrosis factor receptor 2 and HbA(1c) in determining renal decline during 5-18 years of follow-up in patients with type 1 diabetes and proteinuria

Affiliations
Observational Study

Synergism between circulating tumor necrosis factor receptor 2 and HbA(1c) in determining renal decline during 5-18 years of follow-up in patients with type 1 diabetes and proteinuria

Jan Skupien et al. Diabetes Care. 2014 Sep.

Abstract

Objective: We studied the serum concentration of tumor necrosis factor receptor 2 (TNFR2) and the rate of renal decline, a measure of the intensity of the disease process leading to end-stage renal disease (ESRD).

Research design and methods: A cohort of 349 type 1 diabetic patients with proteinuria was followed for 5-18 years. Serum TNFR2, glycated hemoglobin A1c (HbA1c), and other characteristics were measured at enrollment. We used a novel analytic approach, a joint longitudinal-survival model, fitted to serial estimates of glomerular filtration rate (eGFR) based on serum creatinine (median seven per patient) and time to onset of ESRD (112 patients) to estimate the rate of renal decline (eGFR loss).

Results: At enrollment, all patients had chronic kidney disease stage 1-3. The mean (±SD) rate of eGFR loss during 5-18 years of follow-up was -5.2 (±4.9) mL/min/1.73 m(2)/year. Serum TNFR2 was the strongest determinant of renal decline and ESRD risk (C-index 0.79). The rate of eGFR loss became steeper with rising concentration of TNFR2, and elevated HbA1c augmented the strength of this association (P = 0.030 for interaction). In patients with HbA1c ≥10.1% (87 mmol/mol), the difference in the rate of eGFR loss between the first and fourth quartiles of TNFR2 was 5.4 mL/min/1.73 m(2)/year, whereas it was only 1.9 in those with HbA1c <7.9% (63 mmol/mol).

Conclusions: Circulating TNFR2 is a major determinant of renal decline in patients with type 1 diabetes and proteinuria. Elevated HbA1c magnifies its effect. Although the mechanisms of this synergism are unknown, our findings allow us to stratify patients according to risk of ESRD.

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Figures

Figure 1
Figure 1
Cumulative incidence of ESRD in quartiles of serum TNFR2 concentration. Numbers of patients at risk are provided inside cumulative risk plot. Quartile boundaries for serum concentration of TNFR2 are provided in Table 1. P value is from trend test (log-rank) across quartiles.
Figure 2
Figure 2
Illustration of joint longitudinal-survival model parameters. Thick lines depict imputed eGFR trajectories, and thin solid lines indicate a covariate’s (TNFR2) associations with imputed baseline eGFR, rate of renal decline, and imputed time to ESRD. Thin interrupted line indicates CKD stage 5. E, imputed time of ESRD.
Figure 3
Figure 3
Mean and standard error of the rate of eGFR loss (joint model) according to quartiles of TNFR2 within quartiles of HbA1c. The number in each bar is the number of patients in the subgroup. P values are for a linear trend test across quartiles of TNFR2.

References

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