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Urinary Adiponectin Is an Independent Predictor of Progression to End-Stage Renal Disease in Patients With Type 1 Diabetes and Diabetic Nephropathy
Oleh:
Panduru, Nicolae M.
;
Saraheimo, Markku
;
Forsblom, Carol
;
Thorn, Lena M.
;
Gordin, Daniel
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Diabetes Care vol. 38 no. 05 (May 2015)
,
page 883-890 .
Ketersediaan
Perpustakaan FK
Nomor Panggil:
D05.K
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
OBJECTIVE We investigated the predictive value of urinary adiponectin (uADP) for the progression of diabetic nephropathy (DN) as well as for the principal determinants of uADP concentrations. RESEARCH DESIGN AND METHODS uADP was measured in 2,090 patients with type 1 diabetes followed for a median of 5.8 (4.4–6.9) years and in 111 subjects without diabetes. Progression was defined as a change in albuminuria (albumin excretion rate [AER]) to a higher stage or development of end-stage renal disease (ESRD). Various Cox regression and competing risk models were used to evaluate the predictive value of uADP for DN progression. The added predictive benefit to AER or estimated glomerular filtration rate (eGFR) was estimated by the area under the receiver operating characteristic curve, integrated discrimination improvement (IDI), continuous net reclassification improvement (NRI), and other statistical indexes. The determinants of uADP were investigated by multiple regression analyses. RESULTS uADP was an independent predictor of progression to ESRD (hazard ratio 1.60, P < 0.001) and was an even better predictor than AER (P = 0.04) or as good as eGFR (P = 0.79). Furthermore, uADP added a significant benefit when used together with AER (NRI 0.794, P = 0.03; IDI 0.115, P < 0.0001) or eGFR (NRI 0.637, P < 0.001; IDI 0.087, P < 0.0001). The common determinants of uADP were glycemic control, tubular injury, and AER. CONCLUSIONS uADP is a strong independent predictor of DN progression from macroalbuminuria to ESRD and adds a significant predictive benefit to current biomarkers in patients with type 1 diabetes.
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