Correlation Between Water-Drinking Test Outcomes and Body Mass Index in Primary Open-Angle Glaucoma Patients Under Clinical Treatment

2008 ◽  
Vol 24 (5) ◽  
pp. 513-516 ◽  
Author(s):  
Verônica C. Lima ◽  
Tiago S. Prata ◽  
Rodrigo A.B. Lobo ◽  
Augusto Paranhos Jr.
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Clinical Treatment ◽  
Open Angle ◽  
Water Drinking ◽  
Drinking Test ◽  
Test Outcomes ◽  
Water Drinking Test

Comparison of Intraocular Pressure Changes During the Water Drinking Test Between Different Fluid Volumes in Patients With Primary Open-angle Glaucoma

2018 ◽  
Vol 27 (11) ◽  
pp. 950-956 ◽  
Author(s):  
Carolina N. Susanna ◽  
Remo Susanna ◽  
Marcelo Hatanaka ◽  
Bianca N. Susanna ◽  
Fernanda N. Susanna ◽  
...  
Keyword(s):  
Intraocular Pressure ◽  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Open Angle ◽  
Water Drinking ◽  
Drinking Test ◽  
Pressure Changes ◽  
Water Drinking Test

Water-Drinking Test in Patients with Primary Open-Angle Glaucoma While Treated with Different Topical Medications

2005 ◽  
Vol 21 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Michele Vetrugno ◽  
Dario Sisto ◽  
Tiziana Trabucco ◽  
Francesca Balducci ◽  
Nicola Delle Noci ◽  
...  
Keyword(s):  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Open Angle ◽  
Water Drinking ◽  
Drinking Test ◽  
Topical Medications ◽  
Water Drinking Test

Comparison between provocative test-based and long-term intraocular pressure parameters in patients with stable open-angle glaucoma

2020 ◽  
pp. 112067212091133
Author(s):  
Izabela Almeida ◽  
Ana Luiza B Scoralick ◽  
Diego T Dias ◽  
Michele Ushida ◽  
Syril Dorairaj ◽  
...  
Keyword(s):  
Intraocular Pressure ◽  
Open Angle Glaucoma ◽  
Open Angle ◽  
Provocative Test ◽  
Water Drinking ◽  
Medical Regimen ◽  
Pressure Peak ◽  
Drinking Test ◽  
Water Drinking Test

Purpose: To compare provocative test-based and long-term intraocular pressure variation parameters in patients with stable open-angle glaucoma. Methods: A prospective observational study was carried out in which stable open-angle glaucoma patients (⩾3 years of follow-up without any changes on current medical regimen) were consecutively enrolled. All patients were submitted to a water-drinking test. Long-term intraocular pressure parameters were obtained from isolated intraocular pressure measurements from each visit (⩾5 visits). We investigated the correlation and agreement between the following water-drinking test and long-term intraocular pressure parameters: mean, peak, and fluctuation. In addition, the percentage of eyes with significant intraocular pressure peaks during the water-drinking test (defined as a difference ⩾25% between water-drinking test intraocular pressure peak and mean long-term intraocular pressure) was assessed. Results: Sixty-three eyes from 63 open-angle glaucoma patients (mean age, 60.7 ± 11.8 years) were included. Mean and water-drinking test intraocular pressure peak correlated significantly with mean ( r = 0.67) and maximum long-term intraocular pressure ( r = 0.52), respectively ( p < 0.01). The correlation between water-drinking test intraocular pressure fluctuation and long-term intraocular pressure fluctuation was not significant ( p = 0.45). Limits of agreement from Bland–Altman plots exceeded the maximum allowed difference between methods (3 mm Hg) for all the intraocular pressure parameters analyzed, suggesting poor agreement between water-drinking test–derived and long-term intraocular pressure values. Overall, significant water-drinking test intraocular pressure peaks were observed in 39.7% of these eyes with stable open-angle glaucoma. Conclusion: Although some water-drinking test–based and long-term intraocular pressure parameters correlate significantly, water-drinking test results may not reflect the long-term intraocular pressure profile of stable open-angle glaucoma patients, as their agreement is poor. Many of these patients may experience significant water-drinking test intraocular pressure peaks, despite long-standing stable disease and unchanged medical regimen.

A Comparative Study of the Water Drinking Test in Eyes With Open-Angle Glaucoma and Prior Trabeculectomy or Tube Shunt

2017 ◽  
Vol 26 (2) ◽  
pp. 119-125 ◽  
Author(s):  
Patricia Martinez ◽  
Valerie Trubnik ◽  
Benjamin E. Leiby ◽  
Sarah E. Hegarty ◽  
Reza Razeghinejad ◽  
...  
Keyword(s):  
Comparative Study ◽  
Open Angle Glaucoma ◽  
Open Angle ◽  
Water Drinking ◽  
Drinking Test ◽  
Tube Shunt ◽  
Water Drinking Test

scholarly journals Correlation and agreement between the 24-hour diurnal tension curve, the water-drinking test, and the postural-change test in glaucoma patients

2017 ◽  
Vol 1 (3) ◽  
pp. 47-59
Author(s):  
Fauze A. Goncalves ◽  
Fernando Henrique R. Amorim ◽  
Camila S. Zangalli ◽  
Jose Paulo C. Vasconcellos ◽  
Vital P. Costa
Keyword(s):  
Open Angle Glaucoma ◽  
Strong Positive Correlation ◽  
Strong Correlations ◽  
Postural Change ◽  
Poor Agreement ◽  
Positive Correlation ◽  
Water Drinking ◽  
Drinking Test ◽  
Moderate Positive Correlation ◽  
Water Drinking Test

Aim: To investigate whether the water-drinking test (WDT) and the postural-change test (PCT) can predict the 24-hour diurnal tensional curve (DTC) intraocular pressure (IOP) peak and fluctuation by assessing the correlation and agreement between these three tests in medically treated primary open-angle glaucoma (POAG) patients.Methods: 18 POAG patients underwent the DTC, WDT and PCT. Pearson’s correlation coefficient and Bland-Altman plots were used to assess the correlation and agreement between the results, respectively.Results: Mean DTC IOP peak was 18.72 + 4.31 mmHg and mean DTC IOP fluctuation was 7.00 + 2.54 mmHg. The IOP peak was outside office hours in 50% of the subjects. We observed poor correlations between the DTC and WDT fluctuations and the DTC and PCT fluctuations (r=-0.125, P=0.619; r=0.349, P=0.155, respectively). There was a moderate positive correlation between the DTC and WDT peaks (r=0.493, P=0.03) and a strong positive correlation between the DTC and PCT peaks (r=0.722, P<0.001). However, Bland-Altman plots demonstrated poor agreement between the IOP peaks and fluctuations between the 3 tests. WDT and DTC IOP peaks differed by 2 mmHg or more in 56% of the measurements. PCT and DTC IOP peaks showed that 83% of the measurements had differences greater than 2 mmHg.Conclusions: Despite moderate to strong correlations between DCT and WDT peaks and DTC and PCT IOP peaks, the agreement was generally poor, suggesting that they should be used with caution to estimate peak IOP.

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