Author Response, “The Water-drinking Test and Glaucoma Progression

2018 ◽  
Vol 27 (1) ◽  
pp. e26-e28
Author(s):  
Carlos G. DeMoraes ◽  
Remo Susanna ◽  
Lisandro M. Sakata ◽  
Marcelo Hatanaka
2018 ◽  
Vol 27 (1) ◽  
pp. e25-e26 ◽  
Author(s):  
Tiago Santos Prata ◽  
Diego Torres Dias

Clinics ◽  
2010 ◽  
Vol 65 (10) ◽  
pp. 967-970 ◽  
Author(s):  
Rafael Lacerda Furlanetto ◽  
Antonio Carlos Facio Jr ◽  
Marcelo Hatanaka ◽  
Remo Susanna Junior

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

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.


2006 ◽  
Vol 47 (2) ◽  
pp. 641 ◽  
Author(s):  
Remo Susanna ◽  
Marcelo Hatanaka ◽  
Roberto Murad Vessani ◽  
Alexandre Pinheiro ◽  
Celso Morita

2017 ◽  
Vol 33 (4) ◽  
pp. 517-524 ◽  
Author(s):  
M. Reza Razeghinejad ◽  
Zahra Tajbakhsh ◽  
M. Hossein Nowroozzadeh ◽  
Shane J. Havens ◽  
Deepta Ghate ◽  
...  

2013 ◽  
Vol 42 (5) ◽  
pp. 427-432 ◽  
Author(s):  
Tuan Tran ◽  
Nuwan Niyadurupola ◽  
Jeremy O'Connor ◽  
Ghee Soon Ang ◽  
Jonathan Crowston ◽  
...  

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