Literature DB >> 17919446

Association between intraocular pressure variation and glaucoma progression: data from a United States chart review.

Paul P Lee1, John W Walt, Lisa C Rosenblatt, Lisa R Siegartel, Lee S Stern.   

Abstract

PURPOSE: To evaluate whether greater intraocular pressure (IOP) variation between visits was associated with higher likelihood of glaucoma progression.
DESIGN: Cohort study.
METHODS: A five-year minimum of data (June 1, 1990 through January 22, 2002) was collected on 151 patients (302 eyes) from 12 United States specialty centers. A post hoc analysis of visual field (VF) progression, glaucoma medication, intraocular pressure (IOP), and other ocular data was conducted for two nonmutually exclusive cohorts based on retrospective data abstracted well after actual patient visits. Mean IOP and standard deviations (SD) were calculated before treatment (medication or surgery) or progression, whichever occurred first, and before progression regardless of treatment. IOP variables were assessed in a univariate fashion; Cox proportional hazards models evaluated glaucoma progression as an outcome measure and IOP SD as a main predictor, controlling for covariates.
RESULTS: In cohort 1 (55 patients; 84 eyes), mean age was 63 years (range, 37 to 85 years), 58% were female, and 19% of eyes underwent VF progression. In cohort 2 (129 patients; 251 eyes), mean age was 66 years (range, 19 to 88 years), 55% were female, and 27% of eyes underwent VF progression. Mean IOP was 16.5 mm Hg (IOP SD, 2.0 mm Hg), and 16.4 mm Hg (IOP SD, 2.7 mm Hg) in cohorts 1 and 2, respectively. Controlling for age, mean IOP, VF stage, and other covariates, each unit increase in IOP SD resulted in a 4.2 times and 5.5 times higher risk of glaucoma progression for cohort 1 (95% confidence interval [CI], 1.3 to 12.9) and cohort 2 (95% CI, 3.4 to 9.1), respectively.
CONCLUSIONS: IOP variability is an important predictor of glaucoma progression; SD is a convenient measure of variability to assess glaucoma progression risk.

Entities:  

Mesh:

Year:  2007        PMID: 17919446     DOI: 10.1016/j.ajo.2007.07.040

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  29 in total

1.  Risk of glaucoma among patients with benign essential blepharospasm.

Authors:  Michael S Lee; Andrew R Harrison; Daniel S Grossman; Frank A Sloan
Journal:  Ophthalmic Plast Reconstr Surg       Date:  2010 Nov-Dec       Impact factor: 1.746

2.  Outcome of trabeculectomy in hospital Melaka, Malaysia.

Authors:  Moon Heng Hah; Raja Norliza Raja Omar; Juliana Jalaluddin; Nor Fadzillah Abd Jalil; Anusiah Selvathurai
Journal:  Int J Ophthalmol       Date:  2012-06-18       Impact factor: 1.779

3.  Cost-Utility Analysis of Glaucoma Medication Adherence.

Authors:  Paula Anne Newman-Casey; Mariam Salman; Paul P Lee; Justin D Gatwood
Journal:  Ophthalmology       Date:  2019-10-10       Impact factor: 12.079

4.  [Medicinal glaucoma therapy. What can we learn from large randomized clinical trials?].

Authors:  A G M Jünemann; C Huchzermeyer; R Rejdak
Journal:  Ophthalmologe       Date:  2013-12       Impact factor: 1.059

5.  Intraocular pressure control and long-term visual field loss in the Collaborative Initial Glaucoma Treatment Study.

Authors:  David C Musch; Brenda W Gillespie; Leslie M Niziol; Paul R Lichter; Rohit Varma
Journal:  Ophthalmology       Date:  2011-05-20       Impact factor: 12.079

6.  Individualised patient care as an adjunct to standard care for promoting adherence to ocular hypotensive therapy: an exploratory randomised controlled trial.

Authors:  T A Gray; C Fenerty; R Harper; A F Spencer; M Campbell; D B Henson; H Waterman
Journal:  Eye (Lond)       Date:  2011-11-18       Impact factor: 3.775

7.  Dorsomedial/Perifornical hypothalamic stimulation increases intraocular pressure, intracranial pressure, and the translaminar pressure gradient.

Authors:  Brian C Samuels; Nathan M Hammes; Philip L Johnson; Anantha Shekhar; Stuart J McKinnon; R Rand Allingham
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-10-23       Impact factor: 4.799

8.  Visual field progression in the Collaborative Initial Glaucoma Treatment Study the impact of treatment and other baseline factors.

Authors:  David C Musch; Brenda W Gillespie; Paul R Lichter; Leslie M Niziol; Nancy K Janz
Journal:  Ophthalmology       Date:  2008-11-18       Impact factor: 12.079

Review 9.  Mental stress as consequence and cause of vision loss: the dawn of psychosomatic ophthalmology for preventive and personalized medicine.

Authors:  Bernhard A Sabel; Jiaqi Wang; Lizbeth Cárdenas-Morales; Muneeb Faiq; Christine Heim
Journal:  EPMA J       Date:  2018-05-09       Impact factor: 6.543

10.  Variability of intraocular pressure measurements in observation participants in the ocular hypertension treatment study.

Authors:  Anjali M Bhorade; Mae O Gordon; Brad Wilson; Robert N Weinreb; Robert N Weinrab; Michael A Kass
Journal:  Ophthalmology       Date:  2009-02-25       Impact factor: 12.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.