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Impaired Retinal Vessel Dilation Predicts Mortality in End-Stage Renal Disease.
Günthner, Roman; Hanssen, Henner; Hauser, Christine; Angermann, Susanne; Lorenz, Georg; Kemmner, Stephan; Matschkal, Julia; Braunisch, Matthias C; Kuechle, Claudius; Renders, Lutz; Moog, Philipp; Wassertheurer, Siegfried; Baumann, Marcus; Hammes, Hans-Peter; Mayer, Christopher C; Haller, Bernhard; Stryeck, Sarah; Madl, Tobias; Carbajo-Lozoya, Javier; Heemann, Uwe; Kotliar, Konstantin; Schmaderer, Christoph.
  • Günthner R; Nephrology, Technical University of Munich.
  • Hanssen H; Sport, Exercise and Health, University of Basel.
  • Hauser C; Nephrology, Technical University of Munich.
  • Angermann S; Nephrology, Technical University of Munich.
  • Lorenz G; Nephrology, Technical University of Munich.
  • Kemmner S; Nephrology, Technical University of Munich.
  • Matschkal J; Nephrology, Technical University of Munich.
  • Braunisch MC; Nephrology, Technical University of Munich.
  • Kuechle C; Nephrology, Technical University of Munich.
  • Renders L; Nephrology, Technical University of Munich.
  • Moog P; Nephrology, Technical University of Munich.
  • Wassertheurer S; Health and Environment, AIT Austrian Institute of Technology GmbH.
  • Baumann M; Nephrology, Technical University of Munich.
  • Hammes HP; Medical Faculty Mannheim, Heidelberg University.
  • Mayer CC; Center for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology GmbH, AUSTRIA.
  • Haller B; Institute for Medical Statistics and Epidemiology, Technical University of Munich.
  • Stryeck S; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz.
  • Madl T; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz.
  • Carbajo-Lozoya J; Nephrology, Technical University of Munich.
  • Heemann U; Nephrology, Technical University of Munich.
  • Kotliar K; Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences.
  • Schmaderer C; Nephrology, Technical University of Munich.
Circ Res ; 2019 Apr 01.
Article en En | MEDLINE | ID: mdl-30929571
ABSTRACT
RATIONALE Patients with end-stage renal disease (ESRD) are characterized by increased cardiovascular (CV) and all-cause mortality due to advanced remodeling of the macro- and microvascular beds.

OBJECTIVE:

The aim of this study was to determine whether retinal microvascular function can predict all-cause and CV mortality in patients with ESRD. METHODS AND

RESULTS:

In the multicenter prospective observational ISAR (Risk Stratification in End-Stage Renal Disease) study, data on dynamic retinal vessel analysis (DVA) was available in a sub-cohort of 214 dialysis patients (mean age 62.6{plus minus}15.0; 32% female). Microvascular dysfunction was quantified by measuring maximum arteriolar (aMax) and venular dilation (vMax) of retinal vessels in response to flicker light stimulation. During a mean follow-up of 44 months, 55 patients died, including 25 CV and 30 non-CV fatal events. vMax emerged as a strong independent predictor for all-cause mortality. In the Kaplan-Meier analysis, individuals within the lowest tertile of vMax showed significantly shorter three-year survival rates than those within the highest tertile (66.9{plus minus}5.8% vs 92.4{plus minus}3.3%). Uni- and multivariate hazard ratios for all-cause mortality per SD increase of vMax were 0.62 [0.47;0.82] and 0.65[0.47;0.91], respectively. aMax and vMax were able to significantly predict nonfatal and fatal CV events (HR 0.74[0.57;0.97] and 0.78[0.61;0.99], respectively).

CONCLUSIONS:

Our results provide the first evidence that impaired retinal venular dilation is a strong and independent predictor of all-cause mortality in hemodialyzed ESRD patients. DVA provides added value for prediction of all-cause mortality and may be a novel diagnostic tool to optimize CV risk stratification in ESRD and other high-risk CV cohorts. CLINICAL TRIAL REGISTRATION NCT01152892.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article