Salta al contenuto principale
Passa alla visualizzazione normale.

GIUSEPPE MULE'

PARA-PERIRENAL DISTRIBUTION OF BODY FAT IS ASSOCIATED WITH REDUCED GLOMERULAR FILTRATION RATE REGARDLESS OF OTHER INDICES OF ADIPOSITY IN HYPERTENSIVE SUBJECTS Selected Abstracts from XXXV National Congress of the Italian Society of Hypertension (SIIA), Rome, 27-29 September 2018

  • Autori: G. Geraci, M.M. Zammuto, A. Mattina, C. Cusumano, V. Tranchida, C. Pugliares, S. Cottone, G. Mule
  • Anno di pubblicazione: 2018
  • Tipologia: Abstract in atti di convegno pubblicato in rivista
  • OA Link: http://hdl.handle.net/10447/323780

Abstract

INTRODUCTION: Obesity is a well-known risk factor for the development and progression of chronic kidney disease. Recently, para-perirenal ultrasonographic fat thickness (PUFT) has shown to correlate with both total and visceral fat better than body mass index (BMI), waist circumference (WC) and other indices of obesity. Moreover, a local paracrine and mechanical action of the PUFT on kidney has been described in recent studies. AIM: To assess the relationship between glomerular filtration rate (GFR) and PUFT in comparison to other anthropometric and ultrasonographic indices of adiposity. METHODS: Two hundred ninety-six hypertensive patients were enrolled. PUFT, cutis-rectis thickness and rectis-aorta thickness were obtained by ultrasonography. Anthropometric measures of adiposity were also measured. Estimated GFRwas calculated using the CKD-EPI equation. RESULTS: Higher PUFT values were observed in patients with impaired renal function (p.001), whereas no differences in BMI and WC were shown between groups divided by GFR. PUFT significantly correlated with GFR in all subjects (r = - 0.284; p.001), with no differences in groups divided by gender, diabetes or BMI. This association held in multivariate analyses also after correction for confounding factors, including other adiposity indices (p.001). When receiver-operating characteristic curves were built to detect a eGFR0 ml/min/ 1.73 m2, a PUFT value B 3.725 cm showed a negative predictive value of 94.0%, with the largest area under the curve (AUC: 0.700) among the variables considered. CONCLUSIONS: the relationship between PUFT and GFR seems to be more accurate and less influenced by the bias affecting traditional indices of adiposity.