研究目的
To demonstrate if measuring lens autofluorescence with a scanning confocal biomicroscope can identify subjects with undiagnosed type II diabetes mellitus and serve as a marker for diabetic retinopathy severity.
研究成果
Lens autofluorescence measurement is a noninvasive, rapid method that correlates with diagnostic blood tests for diabetes, with a cutoff FR of 0.24 showing sensitivity of 72% and specificity of 80%. It may be useful for screening and monitoring diabetes, but further large-scale studies are needed to confirm its efficacy in preclinical detection.
研究不足
Exclusion of certain systemic diseases and ocular conditions that could affect lens AF; small number of subjects in diabetic retinopathy subcategories; specificity of lens AF test lower than some previous reports; potential influence of age on AF measurements despite age-matching.
1:Experimental Design and Method Selection:
Cross-sectional comparative study using a scanning confocal biomicroscope to measure lens autofluorescence in diabetic and healthy groups, with full ophthalmological examinations and blood tests for fasting plasma glucose and glycosylated hemoglobin.
2:Sample Selection and Data Sources:
191 adult volunteers recruited from the Department of Ophthalmology, Yeni Yüzy?l University, including 82 with type II DM and 109 self-reported healthy subjects, excluding those with certain systemic diseases, pseudophakia, recent fluorescence angiograms, or cataractous changes.
3:List of Experimental Equipment and Materials:
Scanning confocal biomicroscope (ClearPathDS-120; Freedom Meditech, Inc), slit-lamp biomicroscope, Airpuff tonometer, 1% topical tropicamide (Tropamid Fort 1%; Bilim Pharmaceuticals), blood test equipment for FPG and HbA1c.
4:1c. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Lens AF measured with biomicroscope, followed by visual acuity testing, slit-lamp biomicroscopy, intraocular pressure measurement, fundus examination after pupil dilation, and blood tests. Statistical analysis performed using NCSS 2007 software.
5:Data Analysis Methods:
Descriptive statistics, Student's t-test, Kruskal-Wallis test, Mann-Whitney U-test, Pearson and Spearman correlation analyses, ANOVA, diagnostic screening tests (sensitivity, specificity), and receiver operating characteristic curve analysis.
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