Literature DB >> 16186279

Metabolic control of diabetes is associated with an improved response of diabetic retinopathy to panretinal photocoagulation.

Maria G Kotoula1, George N Koukoulis, Elias Zintzaras, Constantinos H Karabatsas, Dimitrios Z Chatzoulis.   

Abstract

OBJECTIVE: To study the influence of glycemic control and the presence of microalbuminuria on the initial response to panretinal photocoagulation (PRP) in patients with a high-risk proliferative diabetic retinopathy (PDR). RESEARCH DESIGN AND METHODS: This was a prospective cohort study with a two-by-two factorial design. We used full-scattered PRP to treat 115 eyes of type 2 diabetic patients who have high-risk PDR. HbA1c (A1C) and albumin levels in 24-h urine were constantly monitored during the pre-enrollment, treatment, and posttreatment periods. At a follow-up visit 12 weeks after the last PRP session, the fundus was examined for characteristics of regression from high-risk PDR and the response to PRP was determined to be successful or unsuccessful. The eyes were categorized into four groups based on average A1C levels and the presence or absence of microalbuminuria. The data were analyzed using a logistic regression model. Our statistical analysis determined the probability of achieving a satisfactory response to PRP in association with A1C levels and the presence or absence of microalbuminuria.
RESULTS: Of the 115 eyes examined, 65 (56.5%) had a successful initial response to PRP and 50 (43.5%) did not. The probability of a satisfactory response to PRP was related to A1C levels (P < 0.05) but not to microalbuminuria and its interaction with hemoglobin glycosylation (P > or = 0.05).
CONCLUSIONS: Low levels of hemoglobin glycosylation (A1C <8%) during the pretreatment, treatment, and posttreatment periods are associated with a regression of proliferative diabetic retinopathy after PRP.

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Year:  2005        PMID: 16186279     DOI: 10.2337/diacare.28.10.2454

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  6 in total

1.  Assessing total retinal blood flow in diabetic retinopathy using multiplane en face Doppler optical coherence tomography.

Authors:  Alex D Pechauer; Thomas S Hwang; Ahmed M Hagag; Liang Liu; Ou Tan; Xinbo Zhang; Maria Parker; David Huang; David J Wilson; Yali Jia
Journal:  Br J Ophthalmol       Date:  2017-05-11       Impact factor: 4.638

2.  Developing a web 2.0 diabetes care support system with evaluation from care provider perspectives.

Authors:  Yung-Hsiu Lin; Rong-Rong Chen; Sophie Huey-Ming Guo; Hui-Yu Chang; Her-Kun Chang
Journal:  J Med Syst       Date:  2011-03-03       Impact factor: 4.460

3.  Pilot study of Doppler optical coherence tomography of retinal blood flow following laser photocoagulation in poorly controlled diabetic patients.

Authors:  Jennifer C Lee; Brandon J Wong; Ou Tan; Sowmya Srinivas; Srinivas R Sadda; David Huang; Amani A Fawzi
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-09-09       Impact factor: 4.799

4.  Intravitreal bevacizumab injection alone or combined with triamcinolone versus macular photocoagulation in bilateral diabetic macular edema; application of bivariate generalized linear mixed model with asymmetric random effects in a subgroup of a clinical trial.

Authors:  Mehdi Yaseri; Hojjat Zeraati; Kazem Mohammad; Masoud Soheilian; Alireza Ramezani; Medi Eslani; Gholam A Peyman
Journal:  J Ophthalmic Vis Res       Date:  2014 Oct-Dec

5.  Nomogram Prediction Model for Diabetic Retinopathy Development in Type 2 Diabetes Mellitus Patients: A Retrospective Cohort Study.

Authors:  Xiaomei Chen; Qiying Xie; Xiaoxue Zhang; Qi Lv; Xin Liu; Huiying Rao
Journal:  J Diabetes Res       Date:  2021-09-14       Impact factor: 4.011

Review 6.  Diabetic retinopathy: an update.

Authors:  Ramandeep Singh; Kim Ramasamy; Chandran Abraham; Vishali Gupta; Amod Gupta
Journal:  Indian J Ophthalmol       Date:  2008 May-Jun       Impact factor: 1.848

  6 in total

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