Normal tension glaucoma: The value of predictive tests

Yoshikawa, Keiji; Inoue, Toyoko; Inoue, Yoshio

doi:10.1111/j.1755-3768.1993.tb04619.x

Cited by 41 publications

(25 citation statements)

References 18 publications

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“…In this study, we analyzed the relationship between IOP variability, which may be divided into IOP peak and IOP fluctuation, and CCT. Intraocular pressure peaks are not always obtained in office hours but are usually seen either in a 24‐hour tension curve, as shown by Drance,7 or in the WDT, as demonstrated by other authors 5,18,19. This is the reason ophthalmologists should not perform just a single IOP measurement during office hours.…”

Section: Discussionmentioning

confidence: 98%

Correlation between central corneal thickness and intraocular pressure peak and fluctuation during the water drinking test in glaucoma patients

Furlanetto¹,

Facio²,

Hatanaka³

et al. 2010

Clinics

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OBJECTIVE:To investigate the correlation between central corneal thickness and outflow facility assessed by intraocular pressure peak and fluctuation during the water drinking test.METHODS:Fifty‐five newly diagnosed primary open‐angle glaucoma patients submitted to central corneal thickness measurements and water drinking test were enrolled in this retrospective study.;. Patients were divided into three groups according to their central corneal thickness. Pearson's Correlation test was performed in the groups with lower and higher pachymetric values.RESULTS:The mean age was 65,65 ± 28,28 years; 63,63% were female and 52,72% were caucasian. The mean central corneal thickness was 544,32 ± 36,86 µm, and the mean baseline intraocular pressure was 23,36 ± 6,26 mmHg. During the water drinking test, the mean intraocular pressure peak and mean intraocular pressure fluctuation were 30,43 ± 8,13 mmHg and 31,46 ± 18,46%, respectively. No relevant correlation was detected between the central corneal thickness and the intraocular pressure peak (r2 = 0,021) or between the central corneal thickness and the intraocular pressure fluctuation (r2 = 0,011). Group 1 presented a mean central corneal thickness of 505,81 ± 13,86 µm, and Group 3 was 583,55 ± 27,87 µm (p = 0,001). The mean intraocular pressure peak was 31,05 ± 9,05 mmHg and 27,83 ± 4,92 mmHg in Group 1 and in Group 3, respectively (p = 0,193). The difference of intraocular pressure fluctuation was not statistically significant between Group 1 (mean 28,47 ± 16,25%) and Group 3 (mean 33,27 ± 21,27%) (p = 0,43).CONCLUSION:In our case series, no correlation was found between central corneal thickness and water drinking test results.

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Section: Discussionmentioning

confidence: 98%

Correlation between central corneal thickness and intraocular pressure peak and fluctuation during the water drinking test in glaucoma patients

Furlanetto¹,

Facio²,

Hatanaka³

et al. 2010

Clinics

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“…Filtration 17,126 The authors found that the diurnal IOP peak was higher and the IOP fluctuation was greater in the medically treated group. The same pattern in IOP peak and fluctuation was seen after the WDT.…”

Section: Circadian Iop Variations In Treated Eyesmentioning

confidence: 99%

24-hour Intraocular Pressure and Ocular Perfusion Pressure in Glaucoma

Quaranta

Katsanos

Russo

et al. 2013

Survey of Ophthalmology

137

147

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Abstract. This review analyzes the currently available literature on circadian rhythms of intraocular pressure (IOP), blood pressure, and calculated ocular perfusion pressure (OPP) in patients with openangle glaucoma. Although adequately powered, prospective trials are not available. The existing evidence suggests that high 24-hour IOP and OPP fluctuations can have detrimental effects in eyes with glaucoma. The currently emerging continuous IOP monitoring technologies may soon offer important contributions to the study of IOP rhythms. Once telemetric technologies become validated and widely available for clinical use, they may provide an important tool towards a better understanding of longand short-term IOP fluctuations during a patient's daily routine. Important issues that need to be investigated further include the identification of appropriate surrogate measures of IOP and OPP fluctuation for patients unable to undergo 24-hour measurements, the determination of formulae that best describe the relationship between systemic blood pressure and IOP with OPP, and the exact clinical relevance of IOP and OPP fluctuation in individual patients. Despite the unanswered questions, a significant body of literature suggests that OPP assessment may be clinically relevant in a significant number of glaucoma patients. (Surv Ophthalmol 58:26--41, 2013. Ó 2013 Elsevier Inc. All rights reserved.) Key words. glaucoma circadian rhythm intraocular pressure blood pressure ocular perfusion pressure I. Physiological ConsiderationsThe principal physiological entities that affect intraocular pressure (IOP) and its characteristics are the aqueous humor (AH) dynamics in healthy and glaucomatous eyes.The production of AH involves two consecutive processes. First, a portion of the plasma that reaches the vascular plexus of the ciliary processes is filtered through the fenestrated capillaries into the interstitial space between the vessels and the ciliary epithelia. Next, a portion of the filtrate is actively secreted by the ciliary epithelial cells into the posterior chamber.In humans, these processes are affected by age, circadian rhythm, topical and systemic medications, and the presence of glaucoma. 63,64,70,109,121 The rate of AH formation decreases with age: by 15--35% between age 20 and 80 years. 15,30 The rate of AH production in humans is significantly lower at night, 99,119 attributed to decreased endogenous circulating catecholamine levels, which may partly explain the decreased nocturnal efficacy of topical 26

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“…The WDT, popular in the 1950s and 1960s, was later discarded as a diagnostic tool for open-angle glaucoma because of low sensitivity and specificity 7 8. In recent years, the WDT has been identified as a reliable and safe tool to predict maximum IOP values during a diurnal tension curve (DTC) and to assess the patency of surgical interventions 9 – 11…”

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confidence: 99%