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Repeatability of intraocular pressure measurements with Icare PRO rebound, Tono-Pen AVIA, and Goldmann tonometers in sitting and reclining positions
© Schweier et al.; licensee BioMed Central Ltd. 2013
Received: 27 November 2012
Accepted: 30 August 2013
Published: 5 September 2013
Icare PRO (ICP) is a new Rebound tonometer that is able to measure intraocular pressure (IOP) in both sitting and reclining positions. In this study, the gold standard Goldmann tonometer (GAT) was compared to ICP and Tono-Pen AVIA (TPA). Hypothesis was that repeatability of GAT is superior to ICP and TPA.
36 eyes of 36 healthy caucasian individuals, 13 male and 26 females, 17 right and 19 left eyes have been included in this prospective, randomized, cross-sectional study. The study was conducted at a single site (Dept. of Ophthalmology, UniversityHospital Zurich, Switzerland). Primary outcome measures were Intraclass correlation coefficients (ICC) and coefficients of variation (COV) and test-retest repeatability as visualized by Bland-Altman analysis. Secondary outcome measures were IOP in sitting (GAT, ICP and TPA) and in reclining (ICP and TPA) position.
Mean IOP measured by GAT was 14.9±3.5 mmHg. Mean IOP measured by ICP was 15.6±3.1 mmHg (with TPA 14.8±2.7 mmHg) in sitting and 16.5±3.5 mmHg (with TPA 17.0±3.0 mmHg) in reclining positions. COVs ranged from 2.9% (GAT) to 6.9% (ICP reclining) and ICCs from 0.819 (ICP reclining) to 0.972 (GAT).
Repeatability is good with all three devices. GAT has higher repeatability compared to the two tested hand-held devices with lowest COVs and highest ICCs. IOP was higher in the reclining compared to the sitting position.
The study was registered to the Clinical Trials Register of the US National Institute of Health, NCT01325324.
A precise measure of intraocular pressure (IOP) is essential in diagnosing and managing many ophthalmological diseases, particularly in glaucoma.
The gold standard in measuring IOP remains Goldmann applanation tonometry (GAT; Haag-Streit AG, Könitz, Switzerland) which was first introduced in 1957 by Hans Goldmann . However, it is well known that corneal biomechanical properties influence the measured IOP value. For example, there is evidence that central corneal thickness (CCT) affects IOP readings by GAT in that IOP is underestimated in thin and overestimated in thick corneas [2–4]. Corneal edema , corneal astigmatism , refractive corneal surgery  and corneal hysteresis  also affect IOP readings.
For IOP measurement with GAT the patient must be able to sit at a slit lamp with a slit lamp-mounted GAT in an upright position. In some cases this is impossible, e.g. bed-ridden persons, small children, intraoperative assessments, and in other situations outside of the consulting room. In these cases hand-held tonometers are used. Many hand-held devices are available to measure IOP when the patient is either sitting upright or reclining horizontally. All have advantages and disadvantages compared to GAT. The Tono-Pen AVIA (TPA; Reichert Inc., Depew, New York, USA) is currently widely used. A more recently available option is the Icare PRO Rebound Tonometer (ICP; Icare Finland Oy, Helsinki, Finland). A previous version of the ICP was only able to measure IOP in the sitting position but with the pro version the clinician can measure IOP in both sitting and reclining positions.
TPA uses the same physical principle as GAT to measure IOP but the applanated area is much smaller (approximately 1.0mm in diameter) [9–12]. Ten consecutive readings are averaged and the result is provided along with a statistical confidence indicator.
ICP uses an impact rebound technique . A small probe is accelerated against the cornea and the rebound acceleration is measured and translated into IOP [14–16]. The contact with the corneal surface is very brief and therefore no local anaesthesia is needed. This is an advantage in examination of children. Another advantage is that the rebound technique does not require continuous calibration. ICP averages six consecutive IOP measurements and provides the mean IOP out of these six measurements. ICP indicates the reliability of the measurements by a color code displayed below the IOP result. If the variation is within normal limits the indicator is green, yellow when the variation is greater than normal and the measurements should be viewed with caution and red when the variation is unacceptably high.
Whenever a device other than the gold standard is to be used, it should be one that offers increased precision relative to the gold standard. The aims of this study were to check if the repeatability of the ICP and TPA are comparable to GAT, if the IOP reading is equal in all three devices, and if there are any differences between IOP measured by GAT and by the two tested hand-held devices in sitting and reclining positions.
36 eyes of 36 healthy volunteers (13 male and 26 females, 17 right and 19 left eyes) with a mean age of 41.9±13.8 years were included into this prospective, randomized, cross-sectional study. The study was performed at a single site, UniversityHospital Zurich, Switzerland, between November and December 2011. The study was pre-approved by the local Ethics committee (Cantonal Ethics Committee Zurich, Department of Health Canton Zurich, Zurich, Switzerland) and was conducted adhering to the tenets of the Helsinki Declaration and in compliance with all local and national regulations and directives. The study was registered to the Clinical Trials Register of the US National Institute of Health http://www.clinicaltrials.gov NCT01325324. Signed informed consent was obtained prior to the first examination.
Inclusion criteria were healthy ophthalmological status and age equal to or greater than 18 years. Exclusion criteria were a history of glaucoma or other ocular disease, and the presence of any corneal opacity or scarring that could affect IOP measurement. Only one eye of each individual was included. A randomization plan for choosing the eye to be enrolled in the study (right or left), and to determine the order in which the three tested tonometers were employed, and to minimize bias was generated by using http://www.randomization.com. Sample size calculations were done using a online tool of the Biostatistics Center of Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA (http://hedwig.mgh.harvard.edu/sample_size/size.html). A total of 36 patients have entered this study. With a probability of 80 percent this study will detect a treatment difference at a two-sided 0.05 significance level, if the true difference between treatments is 2.4 mmHg based on standard deviation of 3.5 (or 1.8 mmHg based on a standard deviation of 2.7). IOP was measured first in an upright position with ICP, TPA and GAT (twice per device). Then, the patient reclined horizontally for 10 minutes and IOP was again measured twice with each of the hand-held devices (ICP and TPA). Between repeated measurement there was a pause of 3 minutes to avoid a lower IOP of the subsequent measurement caused by the prior applanation. If the statistical confidence indicator of the TPA was below 95% the measurement was repeated. ICP measurement was repeated until the quality indicator showed good repeatability (green). To minimize the influence of diurnal IOP fluctuation, all measurements were taken between 3 pm and 6 pm. Statistical analysis was performed using Excel for Windows (Microsoft Office 2003, Microsoft Corp., WA, USA) and SPSS/PASW statistics software (Version 18.0.0 for Macintosh, SPSS Inc. Chicago, IL, USA). The measurements were not normally distributed, as shown by Kolmogorov-Smirnov and Shapiro-Wilks tests. There was no post-hoc test with non-parametric Kuskall-Wallis-testing. Therefore, a logarithmic variable stabilizing transformation was performed to make use of one-way ANOVA. STATA™ (Version 10.1, StataCorp, Texas, USA) was used for the computation of the linear mixed models and Bland-Altman plots were created using MedCalc™ (MedCalc Software 18.104.22.168, Mariakerke, Belgium). Following the statistical analysis, differences between IOP values were considered statistically significant when p-values were less than 0.05.
For statistical analysis, mean IOP for each experimental condition for each of the three tonometers was calculated from two measurements. Coefficients of variation (COV) were determined for each tonometer and for sitting and reclining positions separately. Intraclass correlation coefficients (ICC) were determined with the procedure ‘xtmixed’ in STATA to evaluate differences in IOP between each of the three tonometers . The linear mixed effects model was also used to evaluate differences in IOP measurement between sitting and reclining positions within ICP and TPA, respectively. In addition 95%-limits of agreement for consistency and the bias between the tonometers were evaluated by means of Bland-Altman analysis [18, 19]. Limits of agreement are defined as the mean of the differences plus/minus 1.96 standard deviations (SD) of the differences. They provide an interval within which 95% of the differences between measurements by the two devices are expected to lie. The 95% confidence interval (95% CI) for the differences gives the additional information about the deterministic bias between both devices. If zero does not fall within the 95% CI we have to conclude that one of the methods measures deterministically higher values than the other.
Mean IOP measured by GAT (sitting) was 14.9±3.5 mmHg. Mean IOP measured by TPA was 14.8±2.7 mmHg whilst sitting upright and 17.0±3.0 mmHg in the reclining position. Mean IOP measured by ICP was 15.6±3.1 mmHg whilst sitting upright and 16.5±3.5 mmHg in the reclining position.
Coefficients of variation (COV)
Results from the linear mixed model (ICC and ΔIOP)
Summaries of the Bland-Altman plots
Limits of agreement
GAT2 (S) – GAT1 (S)
ICP2 (S) – ICP1 (S)
ICP2 (R) – ICP1 (R)
TPA2 (S) – TPA1 (S)
TPA2 (R) – TPA1 (R)
MICP (S) – MGAT (S)
MICP (R) – MGAT (S)
MTPA (S) – MGAT (S)
MTPA (R) – MGAT (S)
MICP (R) – MICP (S)
MTPA (R) – MTPA (S)
The accurate measurement of intraocular pressure is important in managing many ophthalmic diseases and conditions, e.g. glaucoma, uveitis, and traumatic conditions such as hyphema. The most accurate method of measuring intraocular pressure remains cannulation of anterior chamber and direct manometry. Because of its invasive nature and the risk of adverse effects, e.g. infection, this method is reserved for some experimental designs only. Hence, the gold standard of clinical IOP measurement remains Goldmann applanation tonometry. GAT can routinely be performed in the consultation room with a slit lamp-mounted device. However, GAT can only be performed whilst the patient is sitting upright at the slit lamp. In some instances, for example post-trauma examination in the emergency room or an intensive care unit, it is impossible to use the slit lamp-mounted GAT. In these conditions a hand-held device is used to measure IOP. Sometimes it is only possible to examine the patient whilst they are reclining horizontally. Whenever the use of a tonometer other than the gold standard GAT is considered, the operator should know if IOP measurements with the hand-held devices are reliable and by how much the IOP in these settings differs from IOP measurement with GAT in the upright position.
The aim of this study was to evaluate these two questions. Firstly, the repeatability of all devices was tested. Therefore, COVs and ICCs were calculated. COVs and ICCs were good for all three devices and both positions (sitting upright as well as reclining). Nevertheless, GAT showed the lowest COV and highest ICC. A significant difference for COVs could only be detected between GAT in sitting and ICP in reclining positions. ICC was best (highest) for GAT and worst (lowest) for ICP in the reclining position. In the latter case there was even no overlapping of the 95% confidence intervals. Bland-Altman analysis was used to check the test-retest repeatability of one single operator in the upright and reclining positions. Bland-Altman analysis shows good repeatability with low bias between test (measurement one) and retest (measurement 2) for all three tested devices and in both positions. Limits of agreement were best for GAT compared to the two hand-held devices.
Second, this study evaluated the amount in which the IOP measured by the hand-held devices in both upright and reclining positions differs from the IOP measurement with GAT in the upright position. Mean IOP differs between all tonometers, and between upright and reclining positions when using ICP or TPA. IOP was generally lower in the sitting upright compared to the reclining position. This is consistent with previous studies [20–22]. The effect was greater for the TPA than for the ICP. This has been evaluated in other studies with a previous model of the used Icare PRO, named Icare. But the Icare was only able to measure IOP in the upright position, and not whilst the patient is reclining. To our knowledge there are no prior studies comparing GAT and TPA with the new Icare PRO.
IOP measurements are dependent on central corneal thickness (CCT). Limitations of our study are that we do not correlate the measurements with CCT and only healthy individuals are included. In healthy individuals we do not expect an unacceptably large range of CCT. Furthermore, it is not standard clinical practice to measure CCT in a healthy patient. Therefore, in a standard clinical setting the hand-held tonometers will be used without knowing the CCT of these eyes, which could lead to an unknown bias. However, there is a lack of consensus on the influence of corneal thickness and axial length on IOP measurements. Regarding rebound tonometry, one study found no correlation between CCT and IOP , while others found a correlation [24, 25]. It is known that accuracy of IOP measurement is affected in eyes with corneal pathologies, e.g. post keratoplasty, with corneal scarring, with high or irregular astigmatism, or in the presence of corneal edema [26–31]. This study did not check repeatability in eyes with corneal pathologies. Another limitation of this study is that only eyes with IOP between 9 and 27 mmHg (GAT) were included, which reflects normal and slightly elevated IOP. It is known that IOP measured by Tono-Pen corresponds well with GAT in the range 9-20 mmHg, but underestimates IOP ≥30 mmHg and overestimates IOP ≤9 mmHg [32–34]. Further studies should evaluate ICP in a larger sample size including eyes with elevated IOP and a matched group of patients with glaucoma.
In a clinical setting all three devices may be used because of their good repeatability. But regarding repeatability, COV and ICC were superior only for GAT, the other devices should only be used when it is not possible to use a slit-lamp mounted GAT. TPA has been widely used for many years now. ICP is a recently-introduced alternative to TPA. Because no local anaesthesia is needed, ICP is a good way to measure IOP especially in children or in adults who are unable to fully co-operate. If it is impossible to measure in the upright position one can use TPA or ICP. IOP measurements between GAT, TPA and ICP as well as between upright and reclining positions are not interchangeable. If decisions depend on the exact value of IOP, there is the desire to use conversion factors to compare IOP readings with GAT. Nevertheless, at the moment none conversion formula exists that would be accurately applicable.
MT-H and JF designed the study, monitored data collection, and conducted the statistical analysis, and interpretation of data. CS conducted the study, and collected the data. MT-H wrote the initial draft of the paper. JF, CS and JVMH contributed to revision of the paper. All authors read and approved the final manuscript.
The authors thank Mrs. Malgorzata Roos, PhD (Division of Biostatistics, University of Zurich, Zurich, Switzerland) for her statistical support.
MT-H received personal funding by the Swiss National Science Foundation (Bern, Switzerland).
- Goldmann H, Schmidt T: Applanation tonometry. Ophthalmologica. 1957, 134 (4): 221-242. 10.1159/000303213.View ArticlePubMedGoogle Scholar
- Punjabi OS, Ho HK, Kniestedt C, Bostrom AG, Stamper RL, Lin SC: Intraocular pressure and ocular pulse amplitude comparisons in different types of glaucoma using dynamic contour tonometry. Curr Eye Res. 2006, 31 (10): 851-862. 10.1080/02713680600899887.View ArticlePubMedGoogle Scholar
- Kaufmann C, Bachmann LM, Thiel MA: Comparison of dynamic contour tonometry with goldmann applanation tonometry. Invest Ophthalmol Vis Sci. 2004, 45 (9): 3118-3121. 10.1167/iovs.04-0018.View ArticlePubMedGoogle Scholar
- Medeiros FA, Sample PA, Weinreb RN: Comparison of dynamic contour tonometry and goldmann applanation tonometry in African American subjects. Ophthalmology. 2007, 114 (4): 658-665. 10.1016/j.ophtha.2006.06.065.View ArticlePubMedGoogle Scholar
- Huang Y, Tham CC, Zhang M: Central corneal thickness and applanation tonometry. J Cataract Refract Surg. 2008, 34 (3): 347-View ArticlePubMedGoogle Scholar
- Holladay JT, Allison ME, Prager TC: Goldmann applanation tonometry in patients with regular corneal astigmatism. Am J Ophthalmol. 1983, 96 (1): 90-93.View ArticlePubMedGoogle Scholar
- Pepose JS, Feigenbaum SK, Qazi MA, Sanderson JP, Roberts CJ: Changes in corneal biomechanics and intraocular pressure following LASIK using static, dynamic, and noncontact tonometry. Am J Ophthalmol. 2007, 143 (1): 39-47. 10.1016/j.ajo.2006.09.036.View ArticlePubMedGoogle Scholar
- Broman AT, Congdon NG, Bandeen-Roche K, Quigley HA: Influence of corneal structure, corneal responsiveness, and other ocular parameters on tonometric measurement of intraocular pressure. J Glaucoma. 2007, 16 (7): 581-588. 10.1097/IJG.0b013e3180640f40.View ArticlePubMedGoogle Scholar
- Iester M, Mermoud A, Achache F, Roy S: New Tonopen XL: comparison with the Goldmann tonometer. Eye (Lond). 2001, 15 (Pt 1): 52-58.View ArticleGoogle Scholar
- Bhartiya S, Bali SJ, Sharma R, Chaturvedi N, Dada T: Comparative evaluation of TonoPen AVIA, Goldmann applanation tonometry and non-contact tonometry. Int Ophthalmol. 2011, 31 (4): 297-302. 10.1007/s10792-011-9458-4.View ArticlePubMedGoogle Scholar
- Mackay RS, Marg E: Fast, automatic, electronic tonometers based on an exact theroy. Acta Ophthalmol (Copenh). 1959, 37: 495-507.View ArticleGoogle Scholar
- Mackay RS, Marg E, Oechsli R: Automatic tonometer with exact theory: various biological applications. Science. 1960, 131: 1668-1669. 10.1126/science.131.3414.1668.View ArticlePubMedGoogle Scholar
- Dekking HM, Coster HD: Dynamic tonometry. Ophthalmologica. 1967, 154 (1): 59-74. 10.1159/000305149.View ArticlePubMedGoogle Scholar
- Kontiola A: A new electromechanical method for measuring intraocular pressure. Doc Ophthalmol. 1996, 93 (3): 265-276.View ArticlePubMedGoogle Scholar
- Kontiola AI: A new induction-based impact method for measuring intraocular pressure. Acta Ophthalmol Scand. 2000, 78 (2): 142-145. 10.1034/j.1600-0420.2000.078002142.x.View ArticlePubMedGoogle Scholar
- Kontiola A, Puska P: Measuring intraocular pressure with the pulsair 3000 and rebound tonometers in elderly patients without an anesthetic. Graefes Arch Clin Exp Ophthalmol. 2004, 242 (1): 3-7. 10.1007/s00417-003-0671-3.View ArticlePubMedGoogle Scholar
- Rabe-Hesketh S, Skrondal A: Estimation using xtmixed. Multilevel and Longitudinal Modeling Using STATA. Edited by: Rabe-Hesketh S, Skrondal A. 2008, College Station, TX: STATA Press, 433-436. 2Google Scholar
- Bland JM, Altman DG: Measuring agreement in method comparison studies. Stat Methods Med Res. 1999, 8 (2): 135-160. 10.1191/096228099673819272.View ArticlePubMedGoogle Scholar
- Bland JM, Altman DG: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986, 1 (8476): 307-310.View ArticlePubMedGoogle Scholar
- Buchanan RA, Williams TD: Intraocular pressure, ocular pulse pressure, and body position. Am J Optom Physiol Opt. 1985, 62 (1): 59-62. 10.1097/00006324-198501000-00008.View ArticlePubMedGoogle Scholar
- Jorge J, Ramoa-Marques R, Lourenco A, Silva S, Nascimento S, Queiros A, Gonzalez-Meijome JM: IOP variations in the sitting and supine positions. J Glaucoma. 2010, 19 (9): 609-612. 10.1097/IJG.0b013e3181ca7ca5.View ArticlePubMedGoogle Scholar
- Prata TS, De-Moraes CG, Kanadani FN, Ritch R, Paranhos A: Posture-induced intraocular pressure changes: considerations regarding body position in glaucoma patients. Surv Ophthalmol. 2010, 55 (5): 445-453. 10.1016/j.survophthal.2009.12.002.View ArticlePubMedGoogle Scholar
- Chui WS, Lam A, Chen D, Chiu R: The influence of corneal properties on rebound tonometry. Ophthalmology. 2008, 115 (1): 80-84. 10.1016/j.ophtha.2007.03.061.View ArticlePubMedGoogle Scholar
- Iliev ME, Goldblum D, Katsoulis K, Amstutz C, Frueh B: Comparison of rebound tonometry with Goldmann applanation tonometry and correlation with central corneal thickness. Br J Ophthalmol. 2006, 90 (7): 833-835. 10.1136/bjo.2005.089870.View ArticlePubMedPubMed CentralGoogle Scholar
- Martinez-de-la-Casa JM, Garcia-Feijoo J, Castillo A, Garcia-Sanchez J: Reproducibility and clinical evaluation of rebound tonometry. Invest Ophthalmol Vis Sci. 2005, 46 (12): 4578-4580. 10.1167/iovs.05-0586.View ArticlePubMedGoogle Scholar
- Ismail AR, Lamont M, Perera S, Khan-Lim D, Mehta R, Macleod JD, Anderson DF: Comparison of IOP measurement using GAT and DCT in patients with penetrating keratoplasties. Br J Ophthalmol. 2007, 91 (7): 980-981. 10.1136/bjo.2006.099564.View ArticlePubMedPubMed CentralGoogle Scholar
- Moreno-Montanes J, Olmo N, Zarranz-Ventura J, Heras-Mulero H: Dynamic contour tonometry in eyes after penetrating keratoplasty. Cornea. 2009, 28 (7): 836-837.View ArticlePubMedGoogle Scholar
- Rootman DS, Insler MS, Thompson HW, Parelman J, Poland D, Unterman SR: Accuracy and precision of the Tono-Pen in measuring intraocular pressure after keratoplasty and epikeratophakia and in scarred corneas. Arch Ophthalmol. 1988, 106 (12): 1697-1700. 10.1001/archopht.1988.01060140869030.View ArticlePubMedGoogle Scholar
- Ceruti P, Morbio R, Marraffa M, Marchini G: Comparison of dynamic contour tonometry and goldmann applanation tonometry in deep lamellar and penetrating keratoplasties. Am J Ophthalmol. 2008, 145 (2): 215-221. 10.1016/j.ajo.2007.10.003.View ArticlePubMedGoogle Scholar
- Kniestedt C, Lin S, Choe J, Bostrom A, Nee M, Stamper RL: Clinical comparison of contour and applanation tonometry and their relationship to pachymetry. Arch Ophthalmol. 2005, 123 (11): 1532-1537. 10.1001/archopht.123.11.1532.View ArticlePubMedGoogle Scholar
- Kniestedt C, Nee M, Stamper RL: Accuracy of dynamic contour tonometry compared with applanation tonometry in human cadaver eyes of different hydration states. Graefes Arch Clin Exp Ophthalmol. 2005, 243 (4): 359-366. 10.1007/s00417-004-1024-6.View ArticlePubMedGoogle Scholar
- Frenkel RE, Hong YJ, Shin DH: Comparison of the Tono-Pen to the Goldmann applanation tonometer. Arch Ophthalmol. 1988, 106 (6): 750-753. 10.1001/archopht.1988.01060130820030.View ArticlePubMedGoogle Scholar
- Kao SF, Lichter PR, Bergstrom TJ, Rowe S, Musch DC: Clinical comparison of the Oculab Tono-Pen to the Goldmann applanation tonometer. Ophthalmology. 1987, 94 (12): 1541-1544.View ArticlePubMedGoogle Scholar
- Tonnu PA, Ho T, Sharma K, White E, Bunce C, Garway-Heath D: A comparison of four methods of tonometry: method agreement and interobserver variability. Br J Ophthalmol. 2005, 89 (7): 847-850. 10.1136/bjo.2004.056614.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2415/13/44/prepub
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