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Non-parametric tests in detecting glaucoma progression.

Anca Pantalon1, Crenguța Feraru2

  • 1Ophthalmology Clinic, "Sf. Spiridon" University Hospital, Iași, Romania.

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Summary

An alternative method for glaucoma progression analysis may help clinicians quickly identify patients at risk of vision loss. Combining this with conventional methods helps monitor more patients at risk over time.

Keywords:
glaucomanon-parametric analysisprogression

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Area of Science:

  • Ophthalmology
  • Visual Science
  • Medical Technology

Background:

  • Automated perimetry is the gold standard for long-term glaucoma monitoring.
  • Glaucoma progression analysis can be challenging due to time constraints and complexity.
  • Early detection of glaucoma progression is crucial for timely intervention.

Purpose of the Study:

  • To present an alternative method for early glaucoma progression detection.
  • To provide clinicians with a faster way to assess glaucoma progression profiles.
  • To potentially adapt follow-up visit frequency based on progression rates.

Main Methods:

  • A longitudinal study of 41 eyes from 41 open-angle glaucoma patients over 24 months.
  • Comparison of a novel "event" analysis with conventional Glaucoma Progression Analysis (GPA).
  • Statistical analysis including Mc Nemar concordance and correlation.

Main Results:

  • The novel analysis detected progression in 26.82% of eyes (11/41).
  • Non-parametric analysis identified progression in 46.34% of eyes (19/41), including cases missed by GPA.
  • Good concordance (kappa k=0.596) and positive correlation (r=0.652) between methods were observed.

Conclusions:

  • The novel non-parametric analysis (NPA) may overestimate progression cases but aids clinician orientation.
  • Conventional Glaucoma Progression Analysis (GPA) can be inaccurate in early years.
  • Combining GPA and NPA can help identify more patients at risk of vision loss from glaucoma.