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Feasibility of optical quality analysis system for the objective assessment of accommodation insufficiency: a phase 1 study

    1. [1] Universidad Complutense de Madrid

      Universidad Complutense de Madrid

      Madrid, España

    2. [2] Miranza Group, Madrid, C/Galileo 104, 28003 Madrid, Spain
    3. [3] Qvision, Department of Ophthalmology, Vithas Virgen del Mar Hospital, 04120, Almería, Spain
  • Localización: Journal of Optometry: peer-reviewed Journal of the Spanish General Council of Optometry, ISSN-e 1888-4296, Vol. 14, Nº. 3, 2021, págs. 287-294
  • Idioma: inglés
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  • Resumen
    • Purpose To assess differences in a new objective metric obtained with a double-pass technique between a group with accommodation insufficiency (AI) and a control group and to explore the diagnostic capabilities of this new tool in comparison to conventional procedures.

      Methods Retrospective cross-sectional case-control phase 1 study. Two groups with ages ranging from 8 to 18 years were recruited: AI and control group. The diagnostic criterion of AI was based on monocular accommodative amplitude (AA), 2 D below Hofstetter’s calculation for minimum AA, and monocular accommodative facility (MAF), failing with minus lens and cut-off at ≤ 6 cycles per minute. Accommodative response with a double pass device (HD Analyzer, Visiometrics) was measured, performing an evaluation from +1.00 D to −3.50D (−0.5D steps), offering the width of the profile at 50% (WP) in minutes of arc.

      Results Differences were found between groups for the AA, MAF and MEM retinoscopy (p < 0.0001, p < 0.001, p = 0.037). The discriminative capacity of MEM retinoscopy for AI diagnosis was significant and the cut-off that maximized the sensitivity and specificity was > 0.5 D. Considering WP 50% in different points, the discriminative AI diagnosis capacities for the points of 2.0 D and 2.50 D were significant (ROC-AUC 0.78; p = 0.03 and p = 0.02).

      Conclusions Double-pass system metric differed between patients with AI and control group, therefore the aim of a Phase I study was achieved. Further steps with higher sample sizes are required to evidence if the system really provides any advantage versus conventional methods in the diagnosis of AI.


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