Correlation and agreement between the 24-hour diurnal tension curve, the water-drinking test, and the postural-change test in glaucoma patients
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1.
Goncalves FA, Amorim FHR, Zangalli CS, Vasconcellos JPC, Costa VP. Correlation and agreement between the 24-hour diurnal tension curve, the water-drinking test, and the postural-change test in glaucoma patients. MAIO [Internet]. 2017 Jun. 19 [cited 2021 Dec. 9];1(3):47-59. Available from: https://www.maio-journal.com/index.php/MAIO/article/view/37

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Keywords

intraocular pressure (IOP); water/drinking test (WDT); diurnal IOP; postural- change test (PCT)

Abstract

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.

https://doi.org/10.35119/maio.v1i3.37
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References

Leske MC, Heijl A, Hyman L, et al. Factors for progression and glaucoma treatment: the Early Manifest Glaucoma Trial. Curr Opin Ophthalmol. 2004 Apr;15(2):102–6.

Gordon MO, Beiser JA, Brandt JD, et al. The Ocular Hypertension Treatment Study: baseline factors that predict the onset of primary open-angle glaucoma. Arch Ophthalmol Chic Ill 1960. 2002 Jun;120(6):714–720; discussion 829–830.

The Advanced Glaucoma Intervention Study (AGIS): 7. The relationship between control of intraocular pressure and visual field deterioration.The AGIS Investigators. Am J Ophthalmol. 2000 Oct;130(4):429–40.

Krieglstein GK, Langham ME. Influence of Body Position on the Intraocular Pressure of Normal and Glaucomatous Eyes. Ophthalmologica. 1975;171(2):132–45.

Sakata R, Aihara M, Murata H, et al. Intraocular pressure change over a habitual 24-hour period after changing posture or drinking water and related factors in normal tension glaucoma. Invest Ophthalmol Vis Sci. 2013 Aug;54(8):5313–20.

Gonzalez I, Pablo LE, Pueyo M, et al. Assessment of diurnal tensional curve in early glaucoma damage. Int Ophthalmol. 1996 1997;20(1-3):113–5.

Asrani S, Zeimer R, Wilensky J, et al. Large diurnal fluctuations in intraocular pressure are an independent risk factor in patients with glaucoma. J Glaucoma. 2000 Apr;9(2):134–42.

Susanna R, Vessani RM, Sakata L, et al. The relation between intraocular pressure peak in the water drinking test and visual field progression in glaucoma. Br J Ophthalmol. 2005 Oct;89(10):1298–301.

Leydhecker W. The Water-Drinking Test. Br J Ophthalmol. 1950 Aug;34(8):457–79.

De Moraes CGV, Furlanetto RL, Reis ASC, et al. Agreement between stress intraocular pressure and long-term intraocular pressure measurements in primary open angle glaucoma. Clin Experiment Ophthalmol. 2009 Apr;37(3):270–4.

Costa VP, Jimenez-Roman J, Carrasco FG, et al. Twenty-four-hour ocular perfusion pressure in primary open-angle glaucoma. Br J Ophthalmol. 2010 Oct 1;94(10):1291–4.

De Moraes CGV, Susanna R, Ritch R. The water drinking test. Am J Ophthalmol. 2011 Mar;151(3):559–560; author reply 560.

Kumar RS, de Guzman MHP, Ong PY, et al. Does peak intraocular pressure measured by water drinking test reflect peak circadian levels? A pilot study. Clin Experiment Ophthalmol. 2008 May;36(4):312–5.

Caiado RR, Badaró E, Kasahara N. Intraocular pressure fluctuation in healthy and glaucomatous eyes: a comparative analysis between diurnal curves in supine and sitting positions and the water drinking test. Arq Bras Oftalmol. 2014 Oct;77(5):288–92.

Vasconcelos-Moraes CG, Susanna R. Correlation between the water drinking test and modified diurnal tension curve in untreated glaucomatous eyes. Clin São Paulo Braz. 2008 Aug;63(4):433–6.

Kiuchi T, Motoyama Y, Oshika T. Postural response of intraocular pressure and visual field damage in patients with untreated normal-tension glaucoma. J Glaucoma. 2010 Mar;19(3):191–3.

Leonard TJ, Muir MGK, Kirkby GR, et al. Ocular hypertension and posture. Br J Ophthalmol. 1983 Jun 1;67(6):362–6.

Kothe AC. The effect of posture on intraocular pressure and pulsatile ocular blood flow in normal and glaucomatous eyes. Surv Ophthalmol. 1994 May;38, Supplement:S191–S197.

Anderson DR, Patella VM. Automated static perimetry. Mosby Incorporated; 1999.

Cohen J. Statistical power analysis for the behavioral sciences (rev. ed.). Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc; 1977. 474 p.

Martin Bland J, Altman D. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT. The Lancet. 1986 Feb 8;327(8476):307–10.

Sudesh S, Moseley MJ, Thompson JR. Accuracy of Goldmann tonometry in clinical practice. Acta Ophthalmol (Copenh). 1993 Apr;71(2):185–8.

Cronemberger S, Silva ACL da, Calixto N. Importance of intraocular pressure measurement at 6:00 a.m. in bed and in darkness in suspected and glaucomatous patients. Arq Bras Oftalmol. 2010 Aug;73(4):346–9.

Medina FMC, Rodrigues FKP, Filho P de TPP, et al. Reproducibility of water drinking test performed at different times of the day. Arq Bras Oftalmol. 2009 Jun;72(3):283–90.

Arora R, Bellamy H, Austin M. Applanation tonometry: a comparison of the Perkins handheld and Goldmann slit lamp-mounted methods. Clin Ophthalmol Auckl NZ. 2014;8:605–10.

Mansouri K, Shaarawy T. Continuous intraocular pressure monitoring with a wireless ocular telemetry sensor: initial clinical experience in patients with open angle glaucoma. Br J Ophthalmol. 2011 May 1;95(5):627–9.

monitoring with a wireless ocular telemetry sensor: initial clinical experience in patients with open angle glaucoma. Br J Ophthalmol. 2011 May 1;95(5):627–9.

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