Abstract
Background
The purpose of this study was to investigate the correlation between ocular perfusion pressure and ocular pulse amplitude in glaucoma, ocular hypertension, and normal eyes.
Methods
Ninety eyes from 90 patients were included. Thirty patients had been recently diagnosed with glaucoma and had no previous history of treatment for ocular hypotension, 30 had elevated intraocular pressure (IOP) without evidence of glaucoma, and 30 had normal IOP (<21 mmHg) with no detectable glaucomatous damage. Goldmann applanation tonometry (GAT), dynamic contour tonometry (DCT), blood pressure measurement, pachymetry, Humphrey visual field, and routine ophthalmic examination was performed in each patient. Ocular perfusion pressure was calculated as the difference between mean arterial pressure and IOP. The ocular pulse amplitude was given by DCT. The Pearson correlation coefficient was used to compare the glaucomatous and ocular hypertensive groups, and comparisons with the normal IOP group were done using the Spearman’s rank correlation coefficient.
Results
Mean IOP by DCT was 22.7 ± 4.3 mmHg in the glaucoma group, 22.3 ± 2.8 mmHg in the ocular hypertension group, and 14.3 ± 1.6 mmHg in the control group. Mean IOP by GAT was 19.0 ± 5.1 mmHg for glaucoma, 22.4 ± 2.1 mmHg for ocular hypertension, and 12.9 ± 2.2 mmHg for controls. Mean ocular pulse amplitude was 3.4 ± 1.2 mmHg in the glaucoma group, 3.5 ± 1.2 mmHg in the ocular hypertension group, and 2.6 ± 0.9 mmHg in the control group. Mean ocular perfusion pressure was 46.3 ± 7.9 mmHg in the glaucoma group, 46.3 ± 7.9 mmHg in the ocular hypertension group, and 50.2 ± 7.0 mmHg in controls. No significant correlation between ocular perfusion pressure and ocular pulse amplitude was found in any of the groups (P = 0.865 and r = −0.032, P = 0.403 and r = −0.156, P = 0.082 and ρ = −0.307 for glaucoma, ocular hypertension, and normal eyes, respectively).
Conclusion
There is no significant correlation between ocular perfusion pressure and ocular pulse amplitude values in glaucoma, ocular hypertension, or normal eyes. IOP values measured by GAT correlate with those measured by DCT.
Keywords: glaucoma, ocular pulse amplitude, ocular perfusion pressure, dynamic contour tonometry, vascular factors
Introduction
Chronic open-angle glaucoma is a multifactorial disorder of the optic nerve, and its main risk factor is elevated intraocular pressure (IOP). Current treatment for glaucoma focuses solely on reducing IOP, although some patients continue to progress even when IOP reaches the predetermined target level. Further, some individuals develop the disease at low IOP values, which is known as normal tension glaucoma. Therefore, it is reasonable to assume that risk factors other than IOP itself may contribute to the etiopathogenesis of glaucoma. Among these, vascular disorders, including atherosclerosis, migraine, Raynaud’s phenomenon, and other vasospastic conditions, have been identified as potential risk factors for glaucoma.1–8
The influence of blood pressure (BP) as an independent risk factor for glaucoma remains controversial. Although some studies have shown a significant positive correlation between systemic hypertension and glaucoma,9,10 Leske et al found a negative correlation between these two variables.11 However, because BP and IOP tend to show circadian variation, their fluctuations may also be related to progression of glaucoma.12
A number of methods can be used to investigate the vascular factors related to glaucoma. One is to measure ocular perfusion pressure, reduction of which is suspected to be an important risk factor for glaucoma.13–15 Another way to assess the vascular component in glaucoma is to measure the ocular pulse amplitude by dynamic contour tonometry (DCT).16 The IOP varies according to the cardiac cycle, and this variation can be detected by rhythmic oscillation of the semicircles in Goldmann applanation tonometry (GAT). DCT measures the amplitude of the IOP variation between systole and diastole.17
The purpose of this study was to evaluate the correlation between ocular perfusion pressure and ocular pulse amplitude in glaucoma, ocular hypertension, and normal eyes.
Materials and methods
Ninety eyes from 90 patients were enrolled and divided into three groups. The glaucoma group included individuals recently diagnosed with the disease and no previous treatment. The ocular hypertension and normal groups had no identifiable functional and/or structural glaucoma damage indicated by IOP. The study was approved by the ethics committee of the Federal University of Minas Gerais, Brazil. Written informed consent was obtained from each participant. The research followed the tenets of the Declaration of Helsinki. Evaluation of the 90 patients was conducted by the same physician (BPF) during the period from September 2008 to May 2010.
The inclusion criteria were age older than 40 years, an open angle on gonioscopy, and best corrected visual acuity of 20/40 or better. For a patient to be entered into the glaucoma group, coexistence of optic disc signs of glaucoma as well as damage in the visual field suggestive of glaucoma was necessary.
Examination of optic nerve
Evaluation of the optic disc and papillary retinal nerve fiber layer was done at slit-lamp examination using a 78 diopter lens. Identification of glaucomatous optic neuropathy was based on at least two of the following criteria: cup/disc ratio >0.6; localized rim loss in the superior or inferior quadrant; disc hemorrhage; and cup/disc asymmetry >0.2.11
Examination of visual field
The visual field was measured using a Humphrey field analyzer (Carl Zeiss Meditec Inc, Dublin, CA, USA) program 24–2 and the standard SITA strategy. Glaucoma damage was defined as the presence of at least two of the following criteria: a cluster of three or more nonedge points, all of which were depressed on the pattern deviation plot at a P < 0.05 level and one of which was depressed at P < 0.01 of normal fields; a glaucoma hemifield test outside normal limits; and pattern standard deviation at P < 0.05 of normal fields. The visual field examination was repeated for each eye to check reproducibility of the findings, and if necessary, a third examination was performed within a week. In the event of incongruous data being obtained at the three examinations, the patient was excluded from the study. The criteria for reliability were: false positive <33%, false negative <33%, and fixation loss <20%.18
Goldmann applanation tonometry
IOP was measured using a Goldmann applanation tonometer between 8 am and 9 am, always repeating the measurement within five minutes. In the event of the difference between the two values being less than 2 mmHg, the lower value was used. If the difference was greater than 2 mmHg, a third measurement was taken, and the lower value was to be considered, but still respecting the 2 mmHg difference between measurements. In the event of a difference greater than 2 mmHg between the three values, the patient was excluded from the study.
The individuals with ocular hypertension and the controls had none of the previously mentioned signs of glaucoma during examination of their optic nerve and/or visual field. Allocation to either of these two groups was based on the IOP value. The ocular hypertension group contained individuals with IOP ≥21 mmHg and the control group contained those with IOP <21 mmHg.
Dynamic contour tonometry
DCT readings were recorded using a Pascal tonometer (Swiss Microtechnology AG, Port, Switzerland) between 8 am and 9 am. The quality of DCT measurement ranges from 1 to 5 (1 being optimal and 5 being least optimal), and only readings with quality levels of 1 and 2 were included in this study. Ocular pulse amplitude given by DCT represents the difference between systolic and diastolic IOP.
Blood pressure
BP was measured using a brachial sphygmomanometer (DS66, Welch Allyn, Skaneateles, NY, USA) and a Littmann Classic II stethoscope (3M, St Paul, MN, USA) on the upper right arm after the subject had been seated for at least 5 minutes. Caffeine, exercise, and smoking were not allowed for at least 30 minutes prior to examination. Two measurements were taken at 5 minute intervals and the average value recorded.19
Ocular perfusion pressure
By definition, perfusion pressure is calculated as follows: PP = MAP − VP, where PP is perfusion pressure, MAP is mean arterial pressure, and VP is venous pressure. The MAP formula is: MAP = DBP + [1/3 × (SBP − DBP)], where PP is perfusion pressure, DBP is diastolic blood pressure, and SBP is systolic blood pressure. To obtain the ocular perfusion pressure, one can use the perfusion pressure formula, substituting venous pressure for IOP. Because the blood pressure in the ophthalmic artery is 2/3 of brachial BP, the final ocular perfusion pressure formula is as follows: ocular perfusion pressure = 2/3 MAP − IOP.
Gonioscopy and central corneal thickness
Gonioscopy was performed using a Sussman lens (Ocular Inc, Dallas, TX, USA) and ultrasound pachymetry was performed using the DGH 555 device (DGH Technology Inc, Exton, PA, USA). Individuals with a previous history of glaucoma medication, ocular surgery, or laser procedures in the eye, a corneal disorder that could interfere with optimal GAT or DCT, spherical equivalent >±4.0 D, advanced cataract, or evidence of ocular infection were excluded from the study.
Statistical analysis
In the glaucoma group, the eye selected for statistical analysis was the one with lower cup/disc ratio, respecting the minimum 0.6 value. In the event of equal ratios in both eyes, the lower IOP eye was selected. If IOP was also the same, the right eye was used in the study. In the ocular hypertension group, the eye with the lower IOP was selected respecting the 21 mmHg value. In the event that the patient had the same IOP in both eyes, the right eye was selected. The right eye was always chosen in the normal group.
Univariate analysis was performed comparing ocular pulse amplitude and ocular perfusion pressure between the three groups using the F-test (analysis of variance) in the event of variables with a normal distribution. The Kruskal–Wallis test was used in the event of a non-normal distribution. Verification of distribution was performed using the Shapiro–Wilk test. When the P-value was significantly different between the three groups, a post hoc two on two comparisons was performed using either the Tukey range test (parametric) or the Mann–Whitney test with Bonferroni adjustment (nonparametric); the P-value for these two tests was 0.017 because there were three groups involved (0.05/3).
To evaluate the relationship between ocular pulse amplitude (OPA) and ocular perfusion pressure, the Pearson correlation coefficient was calculated in the event of two variables having a normal distribution or Spearman rank’s correlation coefficient if one of the variables had a nonnormal distribution. Statistical analysis was performed using R software version 2.14.1.
Results
The mean patient age was 57.2 ± 9.9 years in the glaucoma group, 49.9 ± 8.7 years in the ocular hypertension group, and 52.3 ± 7.2 years in the control group. There was a statistical difference between these mean ages when the three groups were compared (P = 0.009, Kruskal–Wallis test). A paired comparison between the groups showed a significant difference only when patients with glaucoma and those with ocular hypertension were compared (P = 0.005, Mann–Whitney test/Bonferroni adjustment). Fifty-one subjects (56.7%) were white, 30 (33.3%) were “pardos” (ie, of mixed ethnicity), and nine (10%) were of African descent. Forty-eight (53.3%) men and 42 (46.7%) women were included in the study. There were 18 (60%) men in the glaucoma group, 14 (46.7%) in the ocular hypertension group, and 16 (53.3%) in the control group.
IOP was measured by GAT or DCT. Mean (standard deviation), median, and range values are shown in Table 1. The mean difference between the measurements obtained with the two techniques was 1.7 mmHg. Despite this difference, a high positive correlation was found when studying these two methods (r = 0.832 and P < 0.01; Figure 1).
Table 1.
Intraocular pressure by Goldmann applanation tonometry and dynamic contour tonometry
| IOP | n | Mean (SD) | Median | Range |
|---|---|---|---|---|
| DCT | 90 | 19.8 (5.0) | 19.7 | 10.2–31.9 |
| Glaucoma | 30 | 22.7 (4.3) | 23.2 | 13.7–31.9 |
| Ocular hypertension | 30 | 22.3 (2.8) | 22.2 | 16.6–27.9 |
| Normal | 30 | 14.3 (1.6) | 14.3 | 10.2–17.5 |
| GAT | 90 | 18.1 (5.2) | 20.0 | 10.0–30.0 |
| Glaucoma | 30 | 19.0 (5.1) | 20.5 | 10.0–30.0 |
| Ocular hypertension | 30 | 22.4 (2.1) | 22.0 | 21.0–27.0 |
| Normal | 30 | 12.9 (2.2) | 13.0 | 10.0–17.0 |
Note: All data are expressed in mmHg.
Abbreviations: DCT, dynamic contour tonometry; GAT, Goldmann applanation tonometry; IOP, intraocular pressure; SD, standard deviation.
Figure 1.

Relationship between intraocular pressure measured by Goldmann applanation tonometry and dynamic contour tonometry.
Abbreviations: IOP, intraocular pressure; DCT, dynamic contour tonometry; GAT, Goldmann applanation tonometry.
We also tested the correlation between each method of measuring IOP and central corneal thickness, and found a slight positive correlation between GAT and central corneal thickness (r = 0.230 and P = 0.029), but no correlation between DCT and central corneal thickness (r = −0.005 and P = 0.965).
Mean (standard deviation) values for ocular pulse amplitude and perfusion pressure in the three groups are shown in Table 2. Ocular pulse amplitude ranged from 1.6 mmHg to 6.4 mmHg (glaucoma group), 0.9 mmHg to 6.0 mmHg (ocular hypertension group), and 0.9 to 4.9 mmHg (in the group, Figure 2). The difference between the three groups was statistically significant (P = 0.002, F test). A Tukey range test was then used, and showed a significant difference between the glaucoma and control groups (P = 0.014) and between the ocular hypertension and control groups (P = 0.003). There was no statistically significant difference between the glaucoma and ocular hypertension groups (P = 0.887).
Table 2.
Ocular pulse amplitude and ocular perfusion pressure in glaucoma, ocular hypertension, and normal eyes
| Group | Ocular pulse amplitude
|
Ocular perfusion pressure
|
||
|---|---|---|---|---|
| Mean (SD) | P-value | Mean (SD) | P-value | |
| Glaucoma | 3.4 (1.2) | 0.002* | 46.3 (7.9) | <0.001** |
| Ocular hypertension | 3.5 (1.2) | 41.5 (5.2) | ||
| Normal | 2.6 (0.9) | 50.2 (7.0) | ||
Notes:
Statistically significant in F-test (analysis of variance);
statistically significant in Kruskal–Wallis test. All data are expressed in mmHg.
Abbreviation: SD, standard deviation.
Figure 2.

Mean ocular pulse amplitude in glaucoma, ocular hypertension, and normal eyes.
Ocular perfusion pressure ranged from 32.2 mmHg to 63.8 mmHg (glaucoma group), 27.1 mmHg to 54.6 mmHg (ocular hypertension group), and 37.3 mmHg to 63.3 mmHg (normal group, Figure 3). The Mann–Whitney test with Bonferroni adjustment was used to compare pairs of groups, and showed a significant difference between the glaucoma and ocular hypertension groups (P = 0.010) and between the ocular hypertension and control groups (P < 0.001). There was no statistically significant difference between the glaucoma and control groups (P = 0.026).
Figure 3.

Mean ocular perfusion pressure in glaucoma, ocular hypertension, and normal eyes. *Denotes outliers.
Systolic blood pressure was 131.0 ± 16.7 mmHg in the glaucoma group, 125.0 ± 12.3 mmHg in the ocular hypertension group, and 121.5 ± 12.1 mmHg in the control group, and diastolic blood pressure was 82.2 ± 11.3 mmHg, 81.2 ± 6.9 mmHg, and 81.5 ± 9.0 mmHg, respectively.
Table 3 shows the correlation between ocular pulse amplitude and ocular perfusion pressure for the three groups. A significant correlation was not observed (P > 0.05) for these two variables between any of the three groups evaluated separately or when tested together.
Table 3.
Correlation between ocular perfusion pressure and ocular pulse amplitude
| Ocular perfusion pressure | Ocular pulse amplitude
|
|
|---|---|---|
| Coefficient | P-value | |
| Patient groups | ||
| Glaucoma | −0.032 | 0.865* |
| Ocular hypertension | −0.156 | 0.403* |
| Normal | −0.307 | 0.082** |
Notes:
Statistically significant Pearson correlation coefficient
statistically significant Spearman correlation coefficient.
Discussion
Accurate IOP measurement is critical in the diagnosis and treatment of patients with glaucoma. GAT has been the gold standard for measurement of IOP for over 50 years, although questions regarding its validity have arisen since publication of the Ocular Hypertensive Treatment Study and European Glaucoma Progression Study, both of which identified a relationship between corneal central thickness and IOP.20 Other studies have confirmed the influence of corneal properties and biomechanics on IOP measured by GAT.21–24 DCT is an alternative way to measure IOP, and is based on a completely new physical principle that does not distort the corneal anatomy.16 Therefore, DCT seems to be less affected by factors such as corneal thickness and hysteresis when compared with GAT.25 In our study, the difference between mean measurements taken on DCT and GAT was 1.7 mmHg. A similar difference has been observed in other studies, ranging from 0.7 mmHg to 2.8 mmHg. A positive correlation between DCT and GAT is also reported in the literature, as well as in the present study.26–33 Doyle and Lachkar28 reported a study showing that individuals with normal or high central corneal thickness had similar IOP values on GAT and DCT, and that IOP values for a thin cornea tended to show a higher discrepancy between the two measurements, possibly due to underestimation of IOP by the Goldmann tonometer. DCT measurements tend to be less influenced by central corneal thickness than measurements obtained on GAT,27,28,34,35 especially in individuals with thin corneas.
Another advantage of DCT is that it measures IOP in a continuous manner, and so captures variation in IOP during the cardiac cycle.16 The rhythmic oscillation of IOP is measured by DCT and presented as the ocular pulse amplitude. The role of ocular pulse amplitude in glaucoma is still unclear. Weizer et al published a study correlating ocular pulse amplitude with severity of glaucoma, and concluded that a high ocular pulse amplitude seems to be related to less severe glaucoma.30 Schwenn et al showed that a low ocular pulse amplitude was more likely to be present in normal tension glaucoma than in primary open angle glaucoma, ocular hypertension, or normal eyes.36 Kynigopoulos et al found a relationship between low ocular pulse amplitude and presence of functional and structural damage in primary open angle glaucoma.37 In our study, the mean ocular pulse amplitude was significantly lower in the control group than in the glaucoma or ocular hypertension groups. A possible reason for this is the positive correlation between GAT and ocular pulse amplitude, as explained by Punjabi et al38 and Kaufmann et al.39 In our study, we did not use high IOP (>21 mmHg) as an inclusion criterion for the glaucoma group. Therefore, the mean IOP in the ocular hypertensive group was higher than in the glaucoma patients.
According to the ocular perfusion pressure formula, one has low ocular perfusion pressure when blood pressure is relatively low and IOP is relatively high. A number of population-based epidemiologic studies have demonstrated a relationship between low ocular perfusion pressure and glaucoma.11,13,40–42 There is no consensus on a reference value to differentiate between normal and altered ocular perfusion pressure. Leske et al found that ocular perfusion pressure <42 mmHg was associated with a higher risk of developing glaucoma (relative risk 2.2).11 In the present study, the normal group had a mean ocular perfusion pressure ranging from 43.2 mmHg to 57.2 mmHg, ie, above the cutoff value of 42 mmHg proposed on the basis of the results from the Barbados study.11 In the ocular hypertension group, we found a low mean ocular perfusion pressure that could be explained by a high mean IOP and the fact that ocular perfusion pressure and IOP are inversely proportional. We assumed that ocular perfusion pressure was higher in our glaucoma group because we did not include only glaucoma patients with high IOP.
Assessment of ocular blood flow using ocular perfusion pressure and/or ocular pulse amplitude can be rather limited for two main reasons. First, fluctuation in measurements, especially at night, when blood pressure drops dramatically, can occur in patients defined as nonphysiologic dippers, leading to poor perfusion of the optic nerve.43,45 Also, both ocular perfusion pressure and ocular pulse amplitude are more related to IOP itself than any other factor that could directly influence ocular blood flow. The association between vascular risk factors, including ocular perfusion pressure and ocular pulse amplitude, in glaucoma has been the subject of several recent studies, all of which showed no significant correlation between these two vascular factors.46,47 Ocular perfusion pressure and ocular pulse amplitude may have independent roles in the three types of patients included in this study. Systemic vascular regulation as well as the impact of treatment on systemic disorders must also affect patients in an independent manner. There is still much to learn about the complex interaction between these factors.
Conclusion
In conclusion, our results show no correlation between ocular perfusion pressure and ocular pulse amplitude in glaucoma, ocular hypertension, or normal eyes. We found a strong correlation between GAT and DCT. Corneal thickness was slightly related to GAT and not related to DCT.
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
References
- 1.Drance SM, Douglas GR, Wijsman K, et al. Response of blood flow to warm and cold in normal and low-tension glaucoma patients. Am J Ophthalmol. 1988;105:35–39. doi: 10.1016/0002-9394(88)90118-3. [DOI] [PubMed] [Google Scholar]
- 2.Gasser P, Flammer J. Blood-cell velocity in the nailfold capillaries of patients with normal-tension and high-tension glaucoma. Am J Ophthalmol. 1991;111:585–588. doi: 10.1016/s0002-9394(14)73703-1. [DOI] [PubMed] [Google Scholar]
- 3.Phelps CD, Corbett JJ. Migraine and low-tension glaucoma. A case-control study. Invest Ophthalmol Vis Sci. 1985;26:1105–1108. [PubMed] [Google Scholar]
- 4.Goldberg I, Hollows FC, Kass MA, et al. Systemic factors in patients with low-tension glaucoma. Br J Ophthalmol. 1981;65:56–62. doi: 10.1136/bjo.65.1.56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Waldmann E, Gasser P, Dubler B, et al. Silent myocardial ischemia in glaucoma and cataract patients. Graefes Arch Clin Exp Ophthalmol. 1996;234:595–598. doi: 10.1007/BF00185290. [DOI] [PubMed] [Google Scholar]
- 6.François J, Neetens A. The deterioration of the visual field in glaucoma and the blood pressure. Doc Ophthalmol. 1970;28:70–132. doi: 10.1007/BF00153874. [DOI] [PubMed] [Google Scholar]
- 7.Drance SM. The concept of chronic open-angle glaucoma: a personal view. Ophthalmologica. 1996;210:251–256. doi: 10.1159/000310721. [DOI] [PubMed] [Google Scholar]
- 8.Hayreh SS, Zimmerman MB, Podhajsky P, et al. Nocturnal arterial hypotension and its role in optic nerve head and ocular ischemic disorders. Am J Ophthalmol. 1994;117:603–624. doi: 10.1016/s0002-9394(14)70067-4. [DOI] [PubMed] [Google Scholar]
- 9.Mitchell P, Lee AJ, Rochtchina E, et al. Open-angle glaucoma and systemic hypertension: the Blue Mountains Eye Study. J Glaucoma. 2004;13:319–326. doi: 10.1097/00061198-200408000-00010. [DOI] [PubMed] [Google Scholar]
- 10.Ulrich A, Ulrich C, Barth T, et al. Detection of disturbed autoregulation of the peripapillary choroid in primary open angle glaucoma. Ophthalmic Surg Lasers. 1996;27:746–757. [PubMed] [Google Scholar]
- 11.Leske MC, Wu S-Y, Hennis A, et al. Risk factors for incident open-angle glaucoma: the Barbados Eye Studies. Ophthalmology. 2008;115:85–93. doi: 10.1016/j.ophtha.2007.03.017. [DOI] [PubMed] [Google Scholar]
- 12.Demailly P, Cambien F, Plouin PF, et al. Do patients with low tension glaucoma have particular cardiovascular characteristics? Ophthalmologica. 1984;188:65–75. doi: 10.1159/000309344. [DOI] [PubMed] [Google Scholar]
- 13.Tielsch JM, Katz J, Sommer A, et al. Hypertension, perfusion pressure, and primary open-angle glaucoma. A population-based assessment. Arch Ophthalmol. 1995;113:216–221. doi: 10.1001/archopht.1995.01100020100038. [DOI] [PubMed] [Google Scholar]
- 14.Weinreb RN, Harris A, editors. Ocular Blood Flow in Glaucoma. Amsterdam, The Netherlands: Kugler Publications; 2009. [Google Scholar]
- 15.Hayreh SS. Blood flow in the optic nerve head and factors that may influence it. Prog Retin Eye Res. 2001;20:595–624. doi: 10.1016/s1350-9462(01)00005-2. [DOI] [PubMed] [Google Scholar]
- 16.Kanngiesser HE, Kniestedt C, Robert YC. Dynamic contour tonometry: presentation of a new tonometer. J Glaucoma. 2005;14:344–350. doi: 10.1097/01.ijg.0000176936.16015.4e. [DOI] [PubMed] [Google Scholar]
- 17.McKee HD, Saldaña M, Ahad MA. Increased ocular pulse amplitude revealing aortic regurgitation. Am J Ophthalmol. 2004;138:503. doi: 10.1016/j.ajo.2004.04.017. [DOI] [PubMed] [Google Scholar]
- 18.Mills RP, Budenz DL, Lee PP, et al. Categorizing the stage of glaucoma from pre-diagnosis to end-stage disease. Am J Ophthalmol. 2006;141:24–30. doi: 10.1016/j.ajo.2005.07.044. [DOI] [PubMed] [Google Scholar]
- 19.Chobanian AV, Bakris GL, Black HR, et al. Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003;42:1206–1252. doi: 10.1161/01.HYP.0000107251.49515.c2. [DOI] [PubMed] [Google Scholar]
- 20.Brandt JD. Corneal thickness in glaucoma screening, diagnosis, and management. Curr Opin Ophthalmol. 2004;15:85–89. doi: 10.1097/00055735-200404000-00004. [DOI] [PubMed] [Google Scholar]
- 21.Detry-Morel M, Jamart J, Detry MB, et al. Clinical evaluation of the Pascal dynamic contour tonometer. J Fr Ophtalmol. 2007;30:260–270. doi: 10.1016/s0181-5512(07)89588-x. French. [DOI] [PubMed] [Google Scholar]
- 22.Hager A, Annette H, Loge K, et al. Effect of central corneal thickness and corneal hysteresis on tonometry as measured by dynamic contour tonometry, ocular response analyzer, and Goldmann tonometry in glaucomatous eyes. J Glaucoma. 2008;17:361–365. doi: 10.1097/IJG.0b013e31815c3ad3. [DOI] [PubMed] [Google Scholar]
- 23.Morita T, Shoji N, Kamiya K, et al. Intraocular pressure measured by dynamic contour tonometer and ocular response analyzer in normal tension glaucoma. Graefes Arch Clin Exp Ophthalmol. 2010;248:73–77. doi: 10.1007/s00417-009-1169-4. [DOI] [PubMed] [Google Scholar]
- 24.Kara N, Bozkurt E, Baz O, et al. Corneal biomechanical properties and intraocular pressure measurement in Marfan patients. J Cataract Refract Surg. 2012;38:309–314. doi: 10.1016/j.jcrs.2011.08.036. [DOI] [PubMed] [Google Scholar]
- 25.Mangouritsas G, Mourtzoukos S, Mantzounis A, et al. Comparison of Goldmann and Pascal tonometry in relation to corneal hysteresis and central corneal thickness in nonglaucomatous eyes. Clin Ophthalmol. 2011;5:1071–1077. doi: 10.2147/OPTH.S23086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kaufmann C, Bachmann LM, Thiel MA. Comparison of dynamic contour tonometry with Goldmann applanation tonometry. Invest Ophthalmol Vis Sci. 2004;45:3118–3121. doi: 10.1167/iovs.04-0018. [DOI] [PubMed] [Google Scholar]
- 27.Kotecha A, White ET, Shewry JM, et al. The relative effects of corneal thickness and age on Goldmann applanation tonometry and dynamic contour tonometry. Br J Ophthalmol. 2005;89:1572–1575. doi: 10.1136/bjo.2005.075580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Doyle A, Lachkar Y. Comparison of dynamic contour tonometry with Goldman applanation tonometry over a wide range of central corneal thickness. J Glaucoma. 2005;14:288–292. doi: 10.1097/01.ijg.0000169393.40298.05. [DOI] [PubMed] [Google Scholar]
- 29.Schneider E, Grehn F. Intraocular pressure measurement – comparison of dynamic contour tonometry and Goldmann applanation tonometry. J Glaucoma. 2006;15:2–6. doi: 10.1097/01.ijg.0000196655.85460.d6. [DOI] [PubMed] [Google Scholar]
- 30.Weizer JS, Asrani S, Stinnett SS, et al. The clinical utility of dynamic contour tonometry and ocular pulse amplitude. J Glaucoma. 2007;16:700–703. doi: 10.1097/IJG.0b013e31806ab2fe. [DOI] [PubMed] [Google Scholar]
- 31.Lee J, Lee CH, Choi J, et al. Comparison between dynamic contour tonometry and Goldmann applanation tonometry. Korean J Ophthalmol. 2009;23:27–31. doi: 10.3341/kjo.2009.23.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kotecha A, White E, Schlottmann PG, et al. Intraocular pressure measurement precision with the Goldmann applanation, dynamic contour, and ocular response analyzer tonometers. Ophthalmology. 2010;117:730–737. doi: 10.1016/j.ophtha.2009.09.020. [DOI] [PubMed] [Google Scholar]
- 33.Ito K, Tawara A, Kubota T, et al. IOP measured by dynamic contour tonometry correlates with IOP measured by Goldmann applanation tonometry and non-contact tonometry in Japanese individuals. J Glaucoma. 2012;21:35–40. doi: 10.1097/IJG.0b013e31820275b4. [DOI] [PubMed] [Google Scholar]
- 34.Sáenz-Francés F, García-Catalán R, Jerez-Fidalgo M, et al. Comparison of Goldmann applanation and dynamic contour tonometry measurements: Effects of corneal morphometry. Arch Soc Esp Oftalmol. 2011;86:287–291. doi: 10.1016/j.oftal.2011.04.012. Spanish. [DOI] [PubMed] [Google Scholar]
- 35.Francis BA, Hsieh A, Lai MY, et al. Effects of corneal thickness, corneal curvature, and intraocular pressure level on Goldmann applanation tonometry and dynamic contour tonometry: Los Angeles Latino Eye Study Group. Ophthalmology. 2007;114:20–26. doi: 10.1016/j.ophtha.2006.06.047. [DOI] [PubMed] [Google Scholar]
- 36.Schwenn O, Troost R, Vogel A, et al. Ocular pulse amplitude in patients with open angle glaucoma, normal tension glaucoma, and ocular hypertension. Br J Ophthalmol. 2002;86:981–984. doi: 10.1136/bjo.86.9.981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kynigopoulos M, Tzamalis A, Ntampos K, et al. Decreased ocular pulse amplitude associated with functional and structural damage in open-angle glaucoma. Eur J Ophthalmol. 2012;22:111–116. doi: 10.5301/ejo.5000043. [DOI] [PubMed] [Google Scholar]
- 38.Punjabi OS, Ho HK, Kniestedt C, et al. Intraocular pressure and ocular pulse amplitude comparisons in different types of glaucoma using dynamic contour tonometry. Curr Eye Res. 2006;31:851–862. doi: 10.1080/02713680600899887. [DOI] [PubMed] [Google Scholar]
- 39.Kaufmann C, Bachmann LM, Robert YC, et al. Ocular pulse amplitude in healthy subjects as measured by dynamic contour tonometry. Arch Ophthalmol. 2006;124:1104–1108. doi: 10.1001/archopht.124.8.1104. [DOI] [PubMed] [Google Scholar]
- 40.Bonomi L, Marchini G, Marraffa M, et al. Vascular risk factors for primary open angle glaucoma: the Egna-Neumarkt study. Ophthalmology. 2000;107:1287–1293. doi: 10.1016/s0161-6420(00)00138-x. [DOI] [PubMed] [Google Scholar]
- 41.Quigley HA, West SK, Rodriguez J, et al. The prevalence of glaucoma in a population-based study of Hispanic subjects: Proyecto VER. Arch Ophthalmol. 2001;119:1819–1826. doi: 10.1001/archopht.119.12.1819. [DOI] [PubMed] [Google Scholar]
- 42.Hulsman CA, Vingerling JR, Hofman A, et al. Blood pressure, arterial stiffness, and open-angle glaucoma: the Rotterdam study. Arch Ophthalmol. 2007;125:805–812. doi: 10.1001/archopht.125.6.805. [DOI] [PubMed] [Google Scholar]
- 43.Collignon N, Dewe W, Guillaume S, et al. Ambulatory blood pressure monitoring in glaucoma patients. The nocturnal systolic dip and its relationship with disease progression. Int Ophthalmol. 1998;22:19–25. doi: 10.1023/a:1006113109864. [DOI] [PubMed] [Google Scholar]
- 44.Detry M, Boschi A, Ellinghaus G, et al. Simultaneous 24-hour monitoring of intraocular pressure and arterial blood pressure in patients with progressive and non-progressive primary open-angle glaucoma. Eur J Ophthalmol. 1996;6:273–278. doi: 10.1177/112067219600600309. [DOI] [PubMed] [Google Scholar]
- 45.Tokunaga T, Kashiwagi K, Tsumura T, et al. Association between nocturnal blood pressure reduction and progression of visual field defect in patients with primary open-angle glaucoma or normal-tension glaucoma. Jpn J Ophthalmol. 2004;48:380–385. doi: 10.1007/s10384-003-0071-6. [DOI] [PubMed] [Google Scholar]
- 46.Choi J, Lee J, Park SB, et al. Factors affecting ocular pulse amplitude in eyes with open angle glaucoma and glaucoma-suspect eyes. Acta Ophthalmol. 2012;90:552–558. doi: 10.1111/j.1755-3768.2010.01954.x. [DOI] [PubMed] [Google Scholar]
- 47.Gugleta K, Polunina A, Kochkorov A, et al. Association between risk factors and glaucomatous damage in untreated primary open-angle glaucoma. J Glaucoma. 2012 Jan 20; doi: 10.1097/IJG.0b013e3182447d9b. [Epub ahead of print.] [DOI] [PubMed] [Google Scholar]
