April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Development of a Mathematical Model to Predict Intraocular Pressure (IOP) Variability in Untreated Ocular Hypertensives (OHTN)
Author Affiliations & Notes
  • Ilana Forchheimer
    New York University School of Medicine, New York, New York
  • Joshua A. Young
    New York University School of Medicine, New York, New York
  • Carlos G. De Moraes
    New York University School of Medicine, New York, New York
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • Christopher C. Teng
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
    New York Medical College, Valhalla, New York
  • Celso Tello
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
    New York Medical College, Valhalla, New York
  • Robert Ritch
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
    New York Medical College, Valhalla, New York
  • Jeffrey M. Liebmann
    New York University School of Medicine, New York, New York
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • Footnotes
    Commercial Relationships  Ilana Forchheimer, None; Joshua A. Young, None; Carlos G. De Moraes, None; Christopher C. Teng, None; Celso Tello, Diopsys Inc (C); Robert Ritch, Diopsys Inc (F), Diopsys Inc. (C), Pfizer Inc. (C), Topcon Medical Systems Inc (F), Topcon Medical Systems Inc. (C); Jeffrey M. Liebmann, Alcon Laboratories Inc. (C), Allergan Inc. (C), Carl Zeiss Meditec Inc. (C), Diopsys Inc. (F, C), Pfizer Inc. (C), Topcon Medical Systems Inc. (F, C)
  • Footnotes
    Support  Supported by the Gloria Rubin Research Fund of the New York Glaucoma Research Institute, New York, NY.
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 659. doi:
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      Ilana Forchheimer, Joshua A. Young, Carlos G. De Moraes, Christopher C. Teng, Celso Tello, Robert Ritch, Jeffrey M. Liebmann; Development of a Mathematical Model to Predict Intraocular Pressure (IOP) Variability in Untreated Ocular Hypertensives (OHTN). Invest. Ophthalmol. Vis. Sci. 2011;52(14):659.

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Abstract
 
Purpose:
 

To determine if IOP variability follows a statistically normaldistribution in untreated OHTN patients.

 
Methods:
 

56 eyes of 28 subjects diagnosed with OHTN seen in a glaucomareferral practice were included. Patients were included if theyhad at least 20 IOP measurements in each eye and no historyof topical or oral IOP lowering therapy. The statistical programAnalyse-it was used to graph the data, plot the best fit normalcurve and create a normality plot (Q-Q plot) for the set ofdata points from each eye. A Shapiro-Wilk statistic was alsocalculated for each eye to determine which eyes did not distributenormally.

 
Results:
 

We plotted each set of IOP values against the best fit normalcurve and found the data to closely approximate the normal curve(Figures 1 and 2). When a linear regression analysis was plotted,the data points again appeared to closely match a best-fit normalcurve. Of the 56 eyes, 15 (26.8%) did not follow a normal distribution.Of these 15 eyes, 6 were from 3 patients.

 
Conclusions:
 

The variability of IOP measurements in untreated OHTN tendsto have a normal distribution. This finding is important asprobabilistic models that are predicated on a normal distributionmay be applied to the set of pressures obtained from a singlepatient. Therefore, it is possible to develop a mathematicalmodel that can estimate IOP variability based on these findings.  

 

 
Keywords: intraocular pressure 
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