Abstract
The aim of this study was to compare the intraocular pressure (IOP) profile during the modified diurnal tension curve (mDTC) using Goldman applanation tonometry (GAT) and dynamic contour tonometry (DCT) in treated glaucomatous eyes. Eligible subjects were submitted to the mDTC using GAT and DCT in this sequence. IOP measurements were performed at 8 a.m., 10 a.m., 2 p.m., and 4 p.m.. Central corneal thickness was measured using ultrasound pachymetry in the morning. Statistical analysis was performed using paired Student’s t test and Bland–Altman plot. The mean difference between DCT and GAT measurements was 0.9 mmHg. The mean ± SD IOP measurements during the mDTC were 19.68 ± 4.68, 17.63 ± 4.44, 17.25 ± 5.41, and 17.32 ± 4.25 mmHg using GAT and 19.97 ± 4.75, 18.79 ± 4.61, 19.53 ± 5.30, and 19.43 ± 5.45 mmHg using DCT. IOP measurements were higher in the morning (8 a.m.) and decreased throughout the day using both tonometers. The difference between IOP measurements using GAT and DCT was smaller in the morning and increased throughout the day. The IOP variability using GAT was higher than using DCT. Corneal biomechanical properties might help explain our findings.
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Introduction
Intraocular pressure (IOP) is the main risk factor for glaucoma development and progression [1–5]. However, accurate evaluation of IOP measurements and profile are subject to different confounding variables, such as daytime fluctuation [6–8] and corneal biomechanical properties [9–12].
The role of IOP fluctuation in glaucoma progression has been extensively discussed in the literature [7, 13–15], with great emphasis on the importance of serial IOP measurements during the day in order to detect peaks that otherwise would not be detected during single office hour measurements [7, 8]. Nevertheless, 24-h IOP monitoring may be unfeasible and time-consuming for both patients and physicians, which turns it into a restricted tool in clinical practice. Alternatively, modified diurnal tension curve (mDTC) gives summarized information of the 24-h DTC. It involves four to five IOP measurements every 2 h during office hours and gives the clinician more information in a feasible and practical way.
Goldman applanation tonometry (GAT) has been widely used for the past 50 years as the gold standard of IOP measurement [16]. Yet, its accuracy has been questioned due to the influence of corneal biomechanical properties, which may result in overestimation or underestimation of the IOP [9, 17, 18]. The dynamic contour tonometer (DCT) is a novel digital non-applanation contact tonometer designed to be largely independent of the structural properties of the cornea, possibly providing IOP measurements closer to the real intraocular pressure [19]. It is a useful tool when the clinician suspects of inaccurate IOP measurements (such as statistically thicker or thinner corneas).
There is little information available in the literature about diurnal IOP variability using DCT. The aim of this paper was to compare the IOP profile during the mDTC using GAT and DCT in glaucomatous eyes under topical treatment.
Materials and methods
Patients from the University of Sao Paulo Glaucoma Center were recruited during the follow-up period of 2 months. Informed consent was obtained from all participants. The study was approved by the Institution’s Committee of Ethics and followed the tenets of the Declaration of Helsinki.
All patients were diagnosed with primary open angle glaucoma based on the presence glaucomatous optic neuropathy [20] and typical standard automated perimetry (Humphrey SAP 24-2 SITA, Carl Zeiss, Dublin, CA, USA) visual field (VF) defects [21] in at least two reliable consecutive examinations. All VFs had reliability indices of less or equal than 25% fixation losses, 33% false positive responses, and 33% false negative responses. This study was part of a major cohort that included patients on topical prostaglandin analogs, so all enrolled subjects were on topical treatment with this class of medication.
Eyes with severe VF damage (MD < −12 dB), submitted to previous intraocular surgery, with significant media opacities or choriorretinal diseases were excluded.
All eligible patients were submitted to the mDTC using GAT (Haag Streit, Koeniz, Switzerland) and DCT (SMT Swiss Microtechnology AG, Zurich, Switzerland), in this sequence, with a 5-min interval break. For each tonometer, the average of two IOP measurements was recorded at each time point. Tonometry was performed at 8 a.m., 10 a.m., 2 p.m., and 4 p.m. by two ophthalmologists (A.K.B and A.R). In order to avoid observer bias, one modality of tonometry was performed by each investigator in a masked fashion.
The DCT provides a score (Q) representing the quality of the IOP measure. The score ranges from 1 (optimum) to 5 (unacceptable). For the present study, only measurements with Q scores of 1 or 2 were considered for analysis. DCT provides an objective digital readout of the IOP on a liquid crystal display; prior knowledge of GAT measurements would not influence DCT measurements. Therefore, GAT measurements always were performed before DCT measurements.
Main outcome measures
Central corneal thickness (CCT) was measured in the morning in each eye using ultrasound pachymetry before the first IOP measurement. An average of five measurements was calculated for further analysis. IOP values using both tonometers at each time point of the mDTC, as well as the diurnal fluctuation (SD of each eye’s IOP measurements) were analyzed.
Agreement between IOP measurements using GAT and DCT was analyzed using Bland–Altman plot [22]. Comparison between means was performed using paired Student’s t test using MedCalc Statistics (MedCalc®, Inc., Belgium). Statistical significance was considered at p < 0.05.
Results
Twenty patients (40 eyes) were enrolled (75% were women and 60% Caucasians). Their average age was 54 years (range, 38–71).The mean CCT was 545.6 μm (range, 524–543).
Figure 1 shows the agreement between IOP measurements using GAT and DCT. The mean difference (DCT − GAT) was 0.9 mmHg with a 95% confidence interval (95%CI) between −0.3 and 2.1 mmHg. Figure 2 shows the frequency distribution of differences between DCT and GAT during the day.
The mean IOP measurements during the mDTC were 19.68 ± 4.68, 17.63 ± 4.44, 17.25 ± 5.41, and 17.32 ± 4.25 mmHg using GAT and 19.97 ± 4.75, 18.79 ± 4.61, 19.53 ± 5.30, and 19.43 ± 5.45 mmHg using DCT. Paired Student’s t test showed significant difference between morning (8 a.m.) and afternoon (2 and 4 p.m.) IOP measurements using DCT or GAT (Fig. 3). No significant difference was observed between GAT and DCT measurements at 8 a.m. (mean difference = 0.3 ± 3.0 mmHg). After 10 a.m., the difference became significant and remained throughout the day. Short-term IOP variability (SD) was greater using GAT than DCT (2.20 ± 0.80 and 1.80 ± 1.28 mmHg, respectively, p = 0.035).
Discussion
Both DCT and GAT showed higher IOP measurements in the morning than during the day. GAT and DCT showed good agreement with a mean difference of approximately 1.0 mmHg, whereas their differences became more significant as the average IOP increased (graph 1).The mean DCT IOP was higher than GAT IOP at all times during the mDTC, which is consistent with previous reports [18, 23]. This difference was less significant in the morning and tended to increase during the day (Fig. 3).
Kida et al. [24] demonstrated a 24-h variability of CCT and IOP in normal individuals in a sleep laboratory. Their results showed a diurnal-to-nocturnal CCT difference of 14.3 μm associated with an IOP nocturnal elevation with no change in corneal hysteresis using the ocular response analyzer. They suggested that the increase in CCT could be a result of nighttime hydration of the corneal stroma as a response to hypoxic aggression, leading to an increase in CCT that lasted from 11:30 p.m. to 7:30 a.m. followed by an IOP increase. However, the authors observed that a small 24-h CCT fluctuation could not account for a 24-h IOP fluctuation, since other factors are involved in the IOP diurnal variation. Previous studies demonstrated that little edema caused by hypoxic stress in contact lens wearers results in an increase in corneal resistance factor and IOP [25, 26], leading to overestimation of IOP measurements using GAT [26]. In our study, such overestimation could help explain less significant differences between GAT and DCT measurements in the morning (Fig. 3).
The short-term IOP variability using GAT was higher than DCT and this may be explained at least in part by diurnal changes in corneal biomechanical properties. The role of IOP fluctuation using GAT in glaucoma progression has been extensively evaluated [7, 13–15]. However, the relevance of such parameter measured by DCT is still to be determined. As this study demonstrated, they are statistically different. Moreover, all patients in this study were on prostaglandin analogs, so our results cannot be extrapolated to untreated individuals or those on other classes of antiglaucoma medication, as there are some suggestions in the literature that topical medications may modulate the extracellular matrix and may alter corneal thickness in ocular hypertensives and glaucoma patients [27, 28]. Also, by using a simplified 24-h curve, we may have missed important information that could be obtained from nighttime measurements regarding the two modalities of tonometry.
In conclusion, intraocular pressure profile during the mDTC in glaucomatous eyes is different when assessed by GAT and DCT. Further studies are necessary to understand the role of CCT and corneal biomechanics in the assessment of the IOP profile using GAT and DCT.
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Vasconcelos de Moraes, C.G., Castro Reis, A.S., Sano, M.E. et al. Intraocular pressure profile during the modified diurnal tension curve using Goldman applanation tonometry and dynamic contour tonometry. j ocul biol dis inform 2, 29–32 (2009). https://doi.org/10.1007/s12177-009-9016-8
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DOI: https://doi.org/10.1007/s12177-009-9016-8