مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

185
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

145
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Retinol-binding protein 4 versus albuminuria as predictors of estimated glomerular filtration rate decline in patients with type 2 diabetes

Pages

  0-0

Abstract

 Background: Since the increase in some tubular damage biomarkers can be observed at the early stage of diabetic nephropathy, even in the absence of Albuminuria, we aimed to investigate if urinary albumin is superior than tubular damage marker, such as serum retinol‑ binding protein 4 (RBP4), in predicting renal function decline (defined as estimated glomerular filtration rate [eGFR] <60 mL/min/1. 73 m2) in the cohort of patients with type 2 diabetes mellitus (T2D). Materials and Methods: A total of 106 sedentary T2D patients (mean [± standard deviation] age 64. 9 [± 6. 6] years) were included in this cross‑ sectional study. Anthropometric and biochemical parameters (fasting glucose, glycated hemoglobin [HbA1c], lipid parameters, creatinine, RBP4, high sensitivity C‑ reactive protein [hsCRP], urinary albumin excretion [UAE]), as well as blood pressure were obtained. Results: HsCRP (odds ratio [OR] =0. 754, 95% confidence interval [CI] (0. 603– 0. 942), P = 0. 013) and RBP4 (OR = 0. 873, 95% CI [0. 824– 0. 926], P < 0. 001) were independent predictors of eGFR decline. Moreover, although RBP4 and UAE as single diagnostic parameters of renal impairment showed excellent clinical accuracy (area under the curve [AUC] = 0. 900 and AUC = 0. 940, respectively), the Model which included body mass index, HbA1c, triglycerides, hsCRP, and RBP4 showed statistically same accuracy as UAE, when UAE was used as a single parameter (AUC = 0. 932 vs. AUC = 0. 940, respectively; P for AUC difference = 0. 759). As well, the Model had higher sensitivity and specificity (92% and 90%, respectively) than single predictors, RBP4, and UAE. Conclusion: Although serum RBP4 showed excellent clinical accuracy, just like UAE, a combination of markers of tubular damage, inflammation, and traditional markers has the higher sensitivity and specificity than UAE alone for prediction renal impairment in patients with T2D.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KLISIC, ALEKSANDRA, KAVARIC, NEBOJSA, & Ninic, Ana. (2018). Retinol-binding protein 4 versus albuminuria as predictors of estimated glomerular filtration rate decline in patients with type 2 diabetes. JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS), 23(5), 0-0. SID. https://sid.ir/paper/730259/en

    Vancouver: Copy

    KLISIC ALEKSANDRA, KAVARIC NEBOJSA, Ninic Ana. Retinol-binding protein 4 versus albuminuria as predictors of estimated glomerular filtration rate decline in patients with type 2 diabetes. JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS)[Internet]. 2018;23(5):0-0. Available from: https://sid.ir/paper/730259/en

    IEEE: Copy

    ALEKSANDRA KLISIC, NEBOJSA KAVARIC, and Ana Ninic, “Retinol-binding protein 4 versus albuminuria as predictors of estimated glomerular filtration rate decline in patients with type 2 diabetes,” JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS), vol. 23, no. 5, pp. 0–0, 2018, [Online]. Available: https://sid.ir/paper/730259/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button