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      Diurnal and 24-h Intraocular Pressures in Glaucoma: Monitoring Strategies and Impact on Prognosis and Treatment

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          Abstract

          The present review casts a critical eye on intraocular pressure (IOP) monitoring and its value in current and future glaucoma care. Crucially, IOP is not fixed, but varies considerably during the 24-h cycle and between one visit and another. Consequently, a single IOP measurement during so-called office hours is insufficient to characterize the real IOP pathology of a patient with glaucoma. To date IOP remains the principal and only modifiable risk factor for the development and progression of glaucoma. Only by evaluating IOP characteristics (mean, peak and fluctuation of IOP) at diagnosis and after IOP-lowering interventions can we appreciate the true efficacy of therapy. Unfortunately, a major limiting factor in glaucoma management is lack of robust IOP data collection. Treatment decisions, advancement of therapy and even surgery are often reached on the basis of limited IOP evidence. Clearly, there is much room to enhance our decision-making and to develop new algorithms for everyday practice. The precise way in which daytime IOP readings can be used as predictors of night-time or 24-h IOP characteristics remains to be determined. In practice it is important to identify those at-risk glaucoma patients for whom a complete 24-h curve is necessary and to distinguish them from those for whom a daytime curve consisting of three IOP measurements (at 10:00, 14:00 and 18:00) would suffice. By employing a staged approach in determining the amount of IOP evidence needed and the rigour required for our monitoring approach for the individual patient, our decisions will be based on more comprehensive data, while at the same time this will optimize use of resources. The patient’s clinical picture should be the main factor that determines which method of IOP monitoring is most appropriate. A diurnal or ideally a 24-h IOP curve will positively impact the management of glaucoma patients who show functional/anatomical progression, despite an apparently acceptable IOP in the clinic. The potential impact of nocturnal IOP elevation remains poorly investigated. The ideal solution in the future is the development of non-invasive methods for obtaining continuous, Goldmann equivalent IOP data on all patients prior to key treatment decisions. Moreover, an important area of future research is to establish the precise relationship between 24-h IOP characteristics and glaucoma progression.

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          Most cited references195

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

          The Ocular Hypertension Treatment Study (OHTS) has shown that topical ocular hypotensive medication is effective in delaying or preventing the onset of primary open-angle glaucoma (POAG) in individuals with elevated intraocular pressure (ocular hypertension) and no evidence of glaucomatous damage. To describe baseline demographic and clinical factors that predict which participants in the OHTS developed POAG. Baseline demographic and clinical data were collected prior to randomization except for corneal thickness measurements, which were performed during follow-up. Proportional hazards models were used to identify factors that predicted which participants in the OHTS developed POAG. In univariate analyses, baseline factors that predicted the development of POAG included older age, race (African American), sex (male), larger vertical cup-disc ratio, larger horizontal cup-disc ratio, higher intraocular pressure, greater Humphrey visual field pattern standard deviation, heart disease, and thinner central corneal measurement. In multivariate analyses, baseline factors that predicted the development of POAG included older age, larger vertical or horizontal cup-disc ratio, higher intraocular pressure, greater pattern standard deviation, and thinner central corneal measurement. Baseline age, vertical and horizontal cup-disc ratio, pattern standard deviation, and intraocular pressure were good predictors for the onset of POAG in the OHTS. Central corneal thickness was found to be a powerful predictor for the development of POAG.
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            Large diurnal fluctuations in intraocular pressure are an independent risk factor in patients with glaucoma.

            To study the risk associated with diurnal intraocular pressure (IOP) variations in patients with open-angle glaucoma. Sixty-four patients (105 eyes) from the practices of two glaucoma specialists successfully performed home tonometry with a self-tonometer five times a day for 5 days. All patients had open-angle glaucoma and documented IOP below 25 mm Hg over a mean follow-up period of 5 years. Baseline status and time to progression of visual field loss were identified from the clinical charts. The level and variability of diurnal IOP obtained using home tonometry were characterized. Risk of progression was analyzed using a nonparametric time-to-event model, incorporating methods for correlated outcomes. Although mean home IOP and baseline office IOP were similar (16.4 +/- 3.6 mm Hg and 17.6 +/- 3.2 mm Hg, respectively), the average IOP range over the 5 days of home tonometry was 10.0 +/- 2.9 mm Hg. Baseline office IOP had no predictive value (relative hazard, 0.98). The diurnal IOP range and the IOP range over multiple days were significant risk factors for progression, even after adjusting for office IOP, age, race, gender, and visual field damage at baseline (relative hazards [95% confidence intervals], 5.69 [1.86, 17.35] and 5.76 [2.21, 14.98]). Eighty-eight percent of patients in the upper twenty-fifth percentile of IOP and 57% of patients in the lower twenty-fifth percentile progressed within 8 years. In patients with glaucoma with office IOP in the normal range, large fluctuations in diurnal IOP are a significant risk factor, independent of parameters obtained in the office. Fluctuations in IOP may be important in managing patients with glaucoma. Development of methods to control fluctuations in IOP may be warranted.
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              Intraocular pressure fluctuation a risk factor for visual field progression at low intraocular pressures in the advanced glaucoma intervention study.

              To investigate the relationship of intraocular pressure (IOP) fluctuation and mean IOP to visual field (VF) progression in patients enrolled in the Advanced Glaucoma Intervention Study (AGIS). Retrospective analysis of a prospective randomized clinical trial. Three hundred one eyes of 301 patients enrolled in the AGIS were included. Eyes with more than one surgical intervention were excluded. Worsening of the VF was detected with pointwise linear regression. Long-term IOP fluctuation was defined as the standard deviation of IOP (millimeters of mercury) at all visits after initial intervention until the time of VF worsening or end of follow-up, whichever came first. A multivariate linear regression model was performed to identify predictors of VF progression. Terciles of mean IOP were identified, and the average IOP fluctuation in each stratum was calculated. Terciles of long-term IOP fluctuation were similarly evaluated. The proportion of eyes showing VF progression in each stratum was determined and compared. Visual field progression. Visual field progression was detected in 78 eyes (26%). There were statistically significant differences, between progressing and nonprogressing eyes, for mean IOP (P = 0.006), IOP fluctuation (P<0.001), mean length of follow-up (P = 0.013), mean number of VFs (P = 0.005), and mean number of medications (P = 0.006). Three variables were associated with a higher probability of VF progression: greater IOP fluctuation (P = 0.009), argon laser trabeculoplasty (P = 0.004), and older age (P = 0.05). In this model, mean IOP was of borderline statistical significance (P = 0.09). Within the lower and upper terciles of mean IOP, IOP fluctuation was associated with VF progression in the low mean IOP group (P = 0.002) but not in the high mean IOP group (P = 0.2). When subjects were stratified according to IOP fluctuation, there was a statistically significant difference between lower and upper terciles of IOP fluctuation with respect to progression (P = 0.05). There was a weak correlation between mean IOP and IOP fluctuation (r(2) = 0.025, P = 0.01). In the AGIS, long-term IOP fluctuation is associated with VF progression in patients with low mean IOP but not in patients with high mean IOP.
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                Author and article information

                Contributors
                konstas@med.auth.gr
                Journal
                Adv Ther
                Adv Ther
                Advances in Therapy
                Springer Healthcare (Cheshire )
                0741-238X
                1865-8652
                20 October 2018
                20 October 2018
                2018
                : 35
                : 11
                : 1775-1804
                Affiliations
                [1 ]ISNI 0000000109457005, GRID grid.4793.9, 1st University Department of Ophthalmology, , Aristotle University of Thessaloniki, ; Thessaloniki, Greece
                [2 ]ISNI 0000000109457005, GRID grid.4793.9, 3rd University Department of Ophthalmology, , Aristotle University of Thessaloniki, ; Thessaloniki, Greece
                [3 ]ISNI 0000 0001 0703 675X, GRID grid.430503.1, Department of Ophthalmology, , University of Colorado School of Medicine, ; Aurora, USA
                [4 ]ISNI 0000 0004 1764 8305, GRID grid.414990.1, Kanto Central Hospital of the Mutual Aid Association of Public School Teachers, ; 6-25-1, Kamiyoga, Setagaya-ku, Tokyo, Japan
                [5 ]ISNI 0000000417571846, GRID grid.7637.5, Glaucoma Unit, , University of Brescia, ; Brescia, Italy
                [6 ]ISNI 0000 0001 2108 7481, GRID grid.9594.1, Department of Ophthalmology, , University of Ioannina, ; Ioannina, Greece
                [7 ]ISNI 0000 0004 1757 2822, GRID grid.4708.b, Department of Ophthalmology, San Paolo Hospital, , University of Milan, ; Milan, Italy
                [8 ]GRID grid.412481.a, Department of Ophthalmology, , University Hospital of Heraklion, ; Heraklion, Greece
                [9 ]Department of Refractive Surgery, Institute of Vision and Optics, Crete, Greece
                [10 ]ISNI 0000 0001 0942 9821, GRID grid.11804.3c, Semmelweis University, ; Budapest, Hungary
                [11 ]ISNI 0000 0004 1796 1828, GRID grid.420180.f, IRCCS-Fondazione GB Bietti, ; Rome, Italy
                [12 ]ISNI 0000 0001 0669 8188, GRID grid.5214.2, Department of Vision Sciences, , Glasgow Caledonian University, ; Glasgow, UK
                Article
                812
                10.1007/s12325-018-0812-z
                6223998
                30341506
                53925894-d07a-4b09-81ee-beafbba0aa92
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 9 August 2018
                Categories
                Review
                Custom metadata
                © Springer Healthcare Ltd., part of Springer Nature 2018

                24-h efficacy,24-h iop,circadian iop,diurnal iop,iop characteristics,intraocular pressure,glaucoma therapy,ophthalmology

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