Literature DB >> 21791586

24-hour IOP telemetry in the nonhuman primate: implant system performance and initial characterization of IOP at multiple timescales.

J Crawford Downs1, Claude F Burgoyne, William P Seigfreid, Juan F Reynaud, Nicholas G Strouthidis, Verney Sallee.   

Abstract

PURPOSE: IOP is the most common independent risk factor for development and progression of glaucoma, but very little is known about IOP dynamics. Continuous IOP telemetry was used in three nonhuman primates to characterize IOP dynamics at multiple time scales for multiple 24-hour periods.
METHODS: An existing implantable telemetric pressure transducer system was adapted to monitoring anterior chamber IOP. The system records 500 IOP, ECG, and body temperature measurements per second and compensates for barometric pressure in real time. The continuous IOP signal was digitally filtered for noise and dropout and reported using time-window averaging for 19, 18, and 4 24-hour periods in three animals, respectively. Those data were analyzed for a nycthemeral pattern within each animal.
RESULTS: Ten-minute time-window averaging for multiple 24-hour periods showed that IOP fluctuated from 7 to 14 mm Hg during the day, and those changes occurred frequently and quickly. Two-hour time-window averages of IOP for multiple 24-hour periods in three animals showed a weak nycthemeral trend, but IOP was not repeatable from day-to-day within animals.
CONCLUSIONS: The measured IOP was successfully measured continuously by using a new, fully implantable IOP telemetry system. IOP fluctuates as much as 10 mm Hg from day to day and hour to hour in unrestrained nonhuman primates, which indicates that snapshot IOP measurements may be inadequate to capture the true dynamic character of IOP. The distributions, magnitudes, and patterns of IOP are not reproducible from day to day within animals, but IOP tends to be slightly higher at night when IOP data are averaged across multiple 24-hour periods within animals.

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Year:  2011        PMID: 21791586      PMCID: PMC3183973          DOI: 10.1167/iovs.11-7955

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  47 in total

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2.  Twenty-four-hour pattern of intraocular pressure in the aging population.

Authors:  J H Liu; D F Kripke; M D Twa; R E Hoffman; S L Mansberger; K M Rex; C A Girkin; R N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  1999-11       Impact factor: 4.799

3.  The Advanced Glaucoma Intervention Study (AGIS): 7. The relationship between control of intraocular pressure and visual field deterioration.The AGIS Investigators.

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4.  Association of demographic, familial, medical, and ocular factors with intraocular pressure.

Authors:  L M Weih; B N Mukesh; C A McCarty; H R Taylor
Journal:  Arch Ophthalmol       Date:  2001-06

5.  The Advanced Glaucoma Intervention Study (AGIS): 12. Baseline risk factors for sustained loss of visual field and visual acuity in patients with advanced glaucoma.

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6.  Relationship between age and intraocular pressure: the Blue Mountains Eye Study.

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Journal:  Clin Exp Ophthalmol       Date:  2002-06       Impact factor: 4.207

7.  The Ocular Hypertension Treatment Study: baseline factors that predict the onset of primary open-angle glaucoma.

Authors:  Mae O Gordon; Julia A Beiser; James D Brandt; Dale K Heuer; Eve J Higginbotham; Chris A Johnson; John L Keltner; J Philip Miller; Richard K Parrish; M Roy Wilson; Michael A Kass
Journal:  Arch Ophthalmol       Date:  2002-06

8.  The relationship between age and intraocular pressure in a Japanese population: the influence of central corneal thickness.

Authors:  Hideki Nomura; Fujiko Ando; Naoakira Niino; Hiroshi Shimokata; Yozo Miyake
Journal:  Curr Eye Res       Date:  2002-02       Impact factor: 2.424

9.  Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial.

Authors:  M Cristina Leske; Anders Heijl; Mohamed Hussein; Bo Bengtsson; Leslie Hyman; Eugene Komaroff
Journal:  Arch Ophthalmol       Date:  2003-01

10.  Twenty-four-hour intraocular pressure pattern associated with early glaucomatous changes.

Authors:  John H K Liu; Xiaoyan Zhang; Daniel F Kripke; Robert N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  2003-04       Impact factor: 4.799

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  66 in total

1.  Correlation between biomechanical responses of posterior sclera and IOP elevations during micro intraocular volume change.

Authors:  Hugh J Morris; Junhua Tang; Benjamin Cruz Perez; Xueliang Pan; Richard T Hart; Paul A Weber; Jun Liu
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-11-01       Impact factor: 4.799

2.  Cyclic Pattern of Intraocular Pressure (IOP) and Transient IOP Fluctuations in Nonhuman Primates Measured with Continuous Wireless Telemetry.

Authors:  Jessica V Jasien; Daniel C Turner; Christopher A Girkin; J Crawford Downs
Journal:  Curr Eye Res       Date:  2019-06-19       Impact factor: 2.424

3.  The non-human primate experimental glaucoma model.

Authors:  Claude F Burgoyne
Journal:  Exp Eye Res       Date:  2015-06-09       Impact factor: 3.467

4.  Age-related differences in longitudinal structural change by spectral-domain optical coherence tomography in early experimental glaucoma.

Authors:  Hongli Yang; Lin He; Stuart K Gardiner; Juan Reynaud; Galen Williams; Christy Hardin; Nicholas G Strouthidis; J Crawford Downs; Brad Fortune; Claude F Burgoyne
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-09-04       Impact factor: 4.799

5.  Corneoscleral stiffening increases IOP spike magnitudes during rapid microvolumetric change in the eye.

Authors:  Keyton Clayson; Xueliang Pan; Elias Pavlatos; Ryan Short; Hugh Morris; Richard T Hart; Jun Liu
Journal:  Exp Eye Res       Date:  2017-08-30       Impact factor: 3.467

6.  High-Magnitude and/or High-Frequency Mechanical Strain Promotes Peripapillary Scleral Myofibroblast Differentiation.

Authors:  Jing Qu; Huaping Chen; Lanyan Zhu; Namasivayam Ambalavanan; Christopher A Girkin; Joanne E Murphy-Ullrich; J Crawford Downs; Yong Zhou
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-12       Impact factor: 4.799

7.  Intraocular pressure magnitude and variability as predictors of rates of structural change in non-human primate experimental glaucoma.

Authors:  Stuart K Gardiner; Brad Fortune; Lin Wang; J Crawford Downs; Claude F Burgoyne
Journal:  Exp Eye Res       Date:  2012-08-08       Impact factor: 3.467

8.  Optimizing gene transfer to conventional outflow cells in living mouse eyes.

Authors:  G Li; P Gonzalez; L J Camras; I Navarro; J Qiu; P Challa; W D Stamer
Journal:  Exp Eye Res       Date:  2013-01-18       Impact factor: 3.467

Review 9.  IOP telemetry in the nonhuman primate.

Authors:  J Crawford Downs
Journal:  Exp Eye Res       Date:  2015-07-26       Impact factor: 3.467

10.  Development of a Smart Pump for Monitoring and Controlling Intraocular Pressure.

Authors:  Simon A Bello; Sharad Malavade; Christopher L Passaglia
Journal:  Ann Biomed Eng       Date:  2016-09-27       Impact factor: 3.934

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