April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
Biochemical Parameters Discriminate Diabetic Patients With Clinically Significant Macular Edema (CSME) From Diabetic Patients Without CSME
Author Affiliations & Notes
  • M. C. Sanchez
    CIBICI-Dpto de Bioquimica Clinica, Fac de Ciencias Quimicas UNC, Cordoba, Argentina
  • C. J. G. Collino
    CEQUIMAP, FCQ, UNC, Cordoba, Argentina
  • V. M. Baroni
    Instituto Superior en Investigación, Desarrollo y Servicios en Alimentos, ISIDSA, SECyT, CONICET - UNC, Cordoba, Argentina
  • G. Forzinetti
    Laboratorio Hospital Privado, Cordoba, Argentina
  • D. Ferrer
    Laboratorio Hospital Privado, Cordoba, Argentina
  • G. A. Chiabrando
    CIBICI-Dpto de Bioquimica Clinica, Fac de Ciencias Quimicas UNC, Cordoba, Argentina
  • L. Gramajo
    Dpto de Oftalmología, Fundación VER, Cordoba, Argentina
  • C. P. Juarez
    Dpto de Oftalmología, Fundación VER, Cordoba, Argentina
  • L. G. Garcia
    Dpto de Oftalmología, Fundación VER, Cordoba, Argentina
  • J. D. Luna
    Dpto de Oftalmología, Fundación VER, Cordoba, Argentina
  • Footnotes
    Commercial Relationships  M.C. Sanchez, None; C.J.G. Collino, None; V.M. Baroni, None; G. Forzinetti, None; D. Ferrer, None; G.A. Chiabrando, None; L. Gramajo, None; C.P. Juarez, None; L.G. Garcia, None; J.D. Luna, None.
  • Footnotes
    Support  FONCyT, CONICET, SECyT-UNC.
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 5045. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      M. C. Sanchez, C. J. G. Collino, V. M. Baroni, G. Forzinetti, D. Ferrer, G. A. Chiabrando, L. Gramajo, C. P. Juarez, L. G. Garcia, J. D. Luna; Biochemical Parameters Discriminate Diabetic Patients With Clinically Significant Macular Edema (CSME) From Diabetic Patients Without CSME. Invest. Ophthalmol. Vis. Sci. 2010;51(13):5045.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: : Diabetic macular edema is a common phenomenon associated with visual loss in diabetic patients and is characterized by accumulation of extracellular fluid in the retina. Up to now, the etiopathogenesis of this disease is not well known, which makes difficult the development of an effective treatment. The objective of this work was to determine different biochemical parameters in order to discriminate diabetic patients with clinically significant macular edema (CSME) from diabetic patients without CSME.

Methods: : Peripheral whole blood samples were obtained of diabetic patients with CSME (n=27), diabetic patients without CSME and retinopathy (n=14) and controls (n=16). Quantitative assays were performed for 18 different biochemical parameters measured by conventional clinical laboratory tests with the exception of monocyte LRP1 and T lymphocyte (TL) surface antigens, including TLCD3+, TLCD4+, and TLCD4+CD8+, which were determined by flow cytometry using a Cytoron Absolute (Ortho Diagnostic System, Raritan, NJ), operated with Immunocount II software. The data were analyzed by WinMDI 2.8 software. All biochemical parameters were analyzed using Lineal Discriminant Analysis and Kruskal Wallis (Statistica version 7.0).

Results: : Discriminant analysis applied on these 18 parameters allow differentiating diabetic patients with CSME, diabetic patients without CSME and controls with 86.4% certainty. This means that only 8 of 57 patients analyzed were misclassified. The mean value of Red cells, haemoglobin, haematocrit, lymphocytes, HDL cholesterol, triglicerides, glucose and HbA1c was statistically different between groups of patients (p≤0.05).

Conclusions: : Taken together all biochemical parameters allowed to statistically discrimination between CSME from the two other patient groups.

Keywords: edema • diabetes • discrimination 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×