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Corneal
biomechanical changes and intraocular pressure in patients with thyroid orbitopathy
Zofia Pniakowska, Anna Klysik, Roman Gos, Piotr Jurowski
Department of Ophthalmology and Visual Rehabilitation, the Veterans Central
Hospital, Lodz 90-710, Poland
Correspondence to: Zofia
Pniakowska.
Department of Ophthalmology and Visual
Rehabilitation, the Veterans Central Hospital, Zeromskiego 113
Street, Lodz 90-710,
Poland. zofia.pniakowska@gmail.com
Received: 2014-07-31
Accepted: 2015-01-31
Abstract
AIM: To determine the relevance of the
objective parameters addressing the altered biomechanical properties of cornea
for glaucoma monitoring in patients with mild or moderate thyroid associated orbitopathy (TAO), and in
healthy individuals.
METHODS: Twenty-five patients with TAO (group 1) and 25
healthy adults (group 2) were included to the study. Both groups were of a
similar age and the ratio women:man. For each patient, the following parameters
of both eyes were measured with ocular response analyzer (ORA): corneal
hysteresis (CH), corneal resistance factor (CRF), Goldmann correlated
intraocular pressure (IOPg) and corneal compensated intraocular pressure
(IOPcc). In both groups participating in our study, all measurements were
performed within minutes to reduce the diurnal effects.
RESULTS: The mean age in group 1 was 56±11y
and 76% were women, 24% were men. The mean age in group 2 was 64±11y and 68%
were women, 32% were men. CH correlated negatively with IOPg in group 1 (r2=0.10, P<0.05).
IOPg strongly correlated with IOPcc in both groups (group 1: r2=0.79, P<0.0001;
group 2: r2=0.85, P<0.0001).
There was positive correlation between CRF and IOPg in group 1 (r2=0.12, P<0.05)
and in group 2 (r2=0.31, P<0.0001).
Statistical analysis revealed no significant correlation between CRF and IOPcc
in group 1 (r2=0.009, P>0.05)
and also no significant correlation in group 2 (r2=0.04, P>0.05). CRF mean value in group 2
(11.51±1.72 mm Hg) was higher than in group 1 (10.85±1.45 mm Hg) (P<0.05).
IOPg strongly correlated with IOPcc in both groups (group 1: r2=0.79, P<0.0001;
group 2: r2=0.85, P<0.0001).
There was also strong correlation between CRF and CH in both populations: group
1: (r2=0.58, P<0.0001),
group 2: (r2=0.41, P<0.0001).
CONCLUSION: Biomechanical parameters of cornea, as quantified
by CH and CRF, and measured together with IOPcc, precisely reveal glaucoma
staging in TAO and thus are reliable for diagnosing and follow-up in clinical
practice.
KEYWORDS: corneal hysteresis; corneal resistance factor;
glaucoma; intraocular pressure; thyroid associated orbitopathy
DOI:10.18240/ijo.2016.03.20
Citation: Pniakowska Z, Klysik A, Gos R, Jurowski P. Corneal biomechanical changes
and intraocular pressure in patients with thyroid orbitopathy. Int J Ophthalmol
2016;9(3):439-443
INTRODUCTION
Thyroid associated orbitopathy (TAO) is the most
common ocular manifestation of Graves’ disease. Increased intraocular pressure
(IOP) in eyes with TAO leads frequently to glaucoma or glaucomatous neuropathy,
which are one of the main causes of visual field loss and blindness in these
patients[1-5]. IOP measurement for
glaucoma monitoring in patients with TAO can be inaccurate due to the altered
biomechanical properties of the cornea, such as higher corneal hydration,
connective tissue decomposition, altered rigidity and bio-elasticity, which are
not addressed by the standard tonometers[6-8].
Therefore, innovative
parameters addressing the altered biomechanical characteristics of the cornea
could potentially constitute the diagnostic algorithm of the glaucoma
monitoring in patients with TAO. Biomechanical parameters of the cornea [corneal hysteresis (CH), corneal resistance
factor (CRF)] and parameters of
intraocular pressure [Goldmann correlated intraocular pressure (IOPg), corneal compensated
intraocular pressure (IOPcc)] are all measured with
ocular response analyzer (ORA) (2010 Reichert, Inc.)[7-13].
IOPcc eliminates the bias related to the individual corneal properties, such as
elasticity and thickness.
The aim of the study
was to determine the relevance of the objective parameters addressing the
altered biomechanical properties of cornea for glaucoma monitoring in patients
with mild or moderate TAO, and in healthy individuals.
SUBJECTS AND METHODS
Prospective,
noninvasive study was conducted in the Department of Ophthalmology and Visual
Rehabilitation of the Medical University of Lodz in Poland. Approval of the
Ethics Committee of Medical University of Lodz was obtained for the study.
Informed consent was obtained from all participants of the study. Twenty five
patients with TAO (group 1) and twenty five healthy volunteers with no history
of ocular disease (group 2) were enrolled to the study. Both eyes of each
patient with diagnosis of orbitopathy were subjected to clinical examination
according to the recommendations of European group on Graves’ orbitopathy
(EUGOGO)[14].
Patients
with TAO, who were originally recruited to participate in our study, presented
a variety of eye conditions, resulting from different stages/activity of
Graves’ orbitopathy (GO) and stages of glaucoma/ocular hypertension. Numerous
additional variables would need to be controlled in such a large and
heterogeneous group of patients; otherwise the results would be at high risk of
large bias with decreased statistical power. Thus, we decided on the moderate
but homogenous sample size, which is suitable to achieve statistically
significant and reliable results. To standardize the study group and eliminate
the above-mentioned risk factors, which could affect measurement of IOP, CH or
CRF, we determined the specific inclusion criteria. Based on the clinical
examination, patients were classified to three groups of GO stage: 1:
sight-threatening GO, 2: moderate to severe GO and 3: mild GO (Table 1). For the study
we enrolled patients in second stage of GO (2: moderate to severe GO). The
second inclusion criterion was based on evaluation of the activity of
orbitopathy. Following the currently EUGOGO recommendations, the 7-point scale
clinical activity score (CAS) (CAS convergent with
the first seven points of the original scale CAS) was used (Table 2)[14]. CAS ratio ≥3 shows the
activity of the inflammatory process, which was accepted by us as a second
inclusion criterion. Finally, the third inclusion criterion was the stage of
glaucoma/ocular hypertension, estimated in accordance with the universally
accepted glaucoma staging system (GSS) based on the visual field evaluation[15]. The GSS comprises of 6 stages
according to the recommendation by Mills et al[15], based on the
Humphrey visual field.
Table
1
Severity classification of GO, as recommended by EUGOGO
Severity score |
Definition |
1 (sight-threatening GO) |
Patients with dysthyroid optic neuropathy and/or corneal breakdown. |
2 (moderate to severe GO) |
Patients with any one or more of the following: lid retraction ≥2 mm, moderate or severe soft tissue involvement, exophthalmos ≥3 mm above normal for race and gender, inconstant or constant diplopia. |
3 (mild GO) |
Patients usually with one or more of the following: minor lid retraction
(<2 mm), mild soft tissue involvement, exophthalmos <3 mm above normal for race and gender, transient or no
diplopia, corneal exposure responsive to lubricants. |
GO: Graves’
orbitopathy; EUGOGO: European group on Graves’ orbitopathy.
Table
2
Clinical activity of GO, according to
Bartalena et al[14], modified by EUGOGO; CAS≥3/7 indicates active GO
CAS |
Clinical manifestation |
1 |
Painful, oppressive feeling on or behind the globe, during the last 4wk |
2 |
Pain on attempted up-, side-, or down-gaze, during the last 4wk |
3 |
Redness of the eyelid (s) |
4 |
Diffuse redness of the conjunctiva, covering at least one quadrant |
5 |
Swelling of the eyelid (s) |
6 |
Chemosis (conjunctival oedema) |
7 |
Swelling of caruncle and/or plica |
GO: Graves’
orbitopathy; EUGOGO: European group on Graves’ orbitopathy;
CAS: Clinical
activity score.
To the study we
included patients with the ocular hypertension (stage 0), early glaucoma (stage
1) and moderate glaucoma (stage 2).
Patients classified to
the stage 3 (advanced glaucoma), 4 (severe glaucoma), and 5 (end-stage of
glaucoma/blind) of the ocular hypertension were excluded. Patients with history
of corneal surgery procedures, past or existing corneal trauma independent of
its etiology, other corneal dystrophies, keratoconus, cataract, and diabetes
mellitus were excluded from the study.
The qualification
procedure was performed also on healthy volunteers with the following exclusion
criteria: corneal pathological conditions which could affect measurement of IOP,
CH or CRF, past
or existing corneal trauma, history of corneal surgery procedures, history of
elevated IOP, ocular hypertension or glaucoma, as well as with cataract and
diabetes mellitus. Both groups were of a similar age and the sex ratio.
Finally, according to
the qualification procedure, 25 patients were included to the study group and
25 healthy individuals comprised control group.
For each patient the
following parameters of both eyes were measured with ORA: CH, CRF, IOPg and
IOPcc. Elasticity of the corneal tissue is quantified by CH. CRF describes
visco-elastic response of cornea, i.e.
corneal ‘‘resistance’’. For measurement, ORA
generates an air-pulse against cornea, which in turn moves inwards, past
applanation, and into a slight concavity. A few milliseconds later, the cornea
recurs to its normal shape and passes through the applanated phase once more,
resulting in two different pressure values. Their average value is IOPg and
their difference is CH. The quality of each measurement was determined by
waveform score value, presented on a scale of zero (0) to ten (10). The three
consecutive ORA readings of each eye with the best quality and waveform score
above 3.0 were taken for further evaluation. In both groups participating in
our study, all measurements were done in primary gaze, to exclude the influence
of globe position on IOP. Additionally, all measurements were performed within
minutes to reduce the diurnal effects.
For all measurable
variables we tested the compatibility of their distribution with a normal
distribution using λ-Kolmogorov test. For comparison between two measurements
of the same parameter in both groups, we used Student's t-test for independent samples. The relationship between the two
variables was calculated with the rectilinear correlation coefficient r. Coefficient of determination, which
is the square of the correlation coefficient, assessed the impact between two
variables. We found the differences between the mean values and the
dependencies between attributes as statistically significant where the error of
probability P was less than 0.05.
RESULTS
The
mean age in group 1 was 56±11y and 76% were women, 24% were men. The mean age
in group 2 was 64±11y and 68% were women, 32% were men.
CRF
mean value in group 2 (11.51±1.72 mm Hg) was higher than in group 1 (10.85±1.45
mm Hg) (P<0.05) (Table 3). The study revealed no statistically
significant difference in the mean value of IOPg between groups (P>0.05)
(Table 3). The mean value of IOPcc in group 1 did not differ from the mean
IOPcc value in group 2 (P>0.05) (Table 3). There were also no
significant differences of CH values between both groups (P>0.05)
(Table 3).
CH
correlated negatively with IOPg in group 1 (r2=0.10,
P<0.05), but in group 2 there was no statistically significant
correlation between CH and IOPg (r2=0.07,
P=0.058). CH also correlated negatively with IOPcc in the group 1 (r2=0.51, P<0.0001)
and in the control group 2 (r2=0.37,
P<0.0001). There was positive correlation between CRF and IOPg in
group 1 (r2=0.12, P<0.05)
and in group 2 (r2=0.31, P<0.0001).
Statistical analysis revealed no significant correlation between CRF and IOPcc
in group 1 (r2=0.009, P>0.05)
and also no significant correlation in group 2 (r2=0.04, P>0.05). IOPg strongly correlated
with IOPcc in both groups (group 1: r2=0.79,
P<0.0001; group 2: r2=0.85,
P<0.0001). Moreover, we found correlation between CRF and CH in both
populations group 1: (r2=0.58,
P<0.0001), group 2: (r2=0.41,
P<0.0001) (Table 4).
Table
3 Characteristics
of the selected parameters of the patients assessed in the study and
differences between the study group and the control group
Parameters |
|
Median |
Min |
Max |
T |
P
|
||||
Group 1 |
Group 2 |
|
Group 2 |
Group 1 |
Group 2 |
|
Group 2 |
|||
Age (a) |
56±11 |
64±11 |
58 |
63 |
28 |
72 |
42 |
87 |
|
|
IOPg (mm Hg) |
16.39±3.31 |
17.56±4.52 |
15.76 |
16.91 |
10.30 |
27.90 |
7.70 |
29.93 |
-1.45 |
0.1475 |
IOPcc (mm Hg) |
16.53±3.85 |
17.16±4.72 |
16.50 |
16.25 |
8.56 |
25.40 |
9.30 |
29.66 |
-0.71 |
0.4754 |
CRF (mm Hg) |
10.85±1.45 |
11.51±1.72 |
10.70 |
11.61 |
7.96 |
15.10 |
8.10 |
15.93 |
-2.08 |
0.0400 |
CH (mm Hg) |
10.60±1.68 |
10.99±1.74 |
10.70 |
11.35 |
6.53 |
15.00 |
6.30 |
13.30 |
-1.12 |
0.2617 |
Waveform |
7.60±1.41 |
7.16±1.31 |
7.91 |
7.28 |
2.62 |
9.36 |
3.49 |
9.15 |
|
|
Group 1: Study group; Group 2: Control group; IOPg: Goldmann-correlated intraocular pressure; IOPcc: Corneal compensated intraocular pressure; CRF: Corneal resistance
factor; CH: Corneal hysteresis; Waveform: The quality of ORA
measurement.
Table
4
Correlation among CH, CRF, IOPg and IOPcc in study group and
control group
Parameters |
Groups |
Correlation |
||
r |
r2 |
P |
||
CH |
|
|
|
|
IOPg |
1 |
-0.31 |
0.10 |
0.023 |
2 |
-0.26 |
0.07 |
0.058 |
|
IOPcc |
1 |
-0.71 |
0.51 |
<0.0001 |
2 |
-0.61 |
0.37 |
<0.0001 |
|
CRF |
1 |
0.76 |
0.58 |
<0.0001 |
2 |
0.64 |
0.41 |
<0.0001 |
|
CRF |
|
|
|
|
IOPg |
1 |
0.35 |
0.12 |
0.011 |
2 |
0.55 |
0.31 |
0.0001 |
|
IOPcc |
1 |
-0.094 |
0.009 |
0.496 |
2 |
0.2 |
0.04 |
0.151 |
|
IOPg |
|
|
|
|
IOPcc |
1 |
0.89 |
0.79 |
<0.0001 |
2 |
0.92 |
0.85 |
<0.0001 |
1: Study group; 2: Control group; CH: Corneal hysteresis; CRF: Corneal resistance
factor;
IOPg: Goldmann-correlated intraocular pressure; IOPcc: Corneal compensated intraocular pressure.
DISCUSSION
TAO is clinically
manifested by soft tissue involvement, eyelid retraction, proptosis, exposure
keratopathy, optic neuropathy and muscle fibrosis[16-17]. Advanced
proptosis alters adequate lid closure and may lead to severe exposure
keratopathy and corneal ulceration. Aetiologically, TAO is an endocrine
orbitopathy, caused by the excessive production of the thyrotropin receptor
antibodies, which leads to swelling and hypertrophy of extraocular muscles,
cellular infiltration of interstitial tissues, proliferation of the
intraorbital adipose and connective tissues and excessive production of
glycosaminoglycans[18-22]. Ocular
mobility is restricted by oedema in the infiltrative and fibrotic stages of
disease[17]. The morphological changes
in cornea can lead to glaucoma, and the early diagnosis is essential to avoid
irreversible consequences.
In patients with TAO,
diagnosis of the primary open angle glaucoma (POAG) can be
challenging. Even if an elevated IOP is detected in these patients, the
question arises whether the elevated IOP is just a sign of orbitopathy or if
glaucoma or ocular hypertension should be considered[23].
Prevalence of normal-tension glaucoma, POAG or ocular hypertension among
patients with Graves’ disease was reported in range from 0.8% to 13.5%[4,24]. Goldmann applanation tonometry
(GAT) was designed to assess IOP, unaffected by the ocular rigidity[25]. GAT is currently the preferred
method of IOP measurement, also in patients with glaucoma[24].
However, numerous studies demonstrated that applanated intraocular pressure
(IOPg) is not equal to the real intraocular pressure[4,26-27]. Recent studies
proved that GAT-IOP is strongly dependent on central corneal thickness (CCT),
which suggests that CCT should be the basis for IOP correction algorithm[7-8].
Nevertheless, weak correlation of CCT and IOPg limits the efficacy of GAT[11]. Therefore, Pascal dynamic contour
tonometry and ORA tonometry have emerged as techniques of IOP estimation in
early glaucoma detection[12,25]. As
given above, IOPcc describes intraocular pressure more accurately as it is less
influenced by corneal properties. In our study IOPg correlated with IOPcc in
group 1 and 2, however, the difference in results between groups in our series
pointed out necessity of the more detailed analysis regarding influence of CRF
and CH on IOPg and IOPcc in patients with orbitopathy.
Independent
association was previously found between CH and glaucoma damage, and thus CH
could act as an objective parameter for diagnosing the glaucoma progression
risk[28]. CH was significantly lower in
patients diagnosed with glaucoma when compared to glaucoma suspects, ocular
hypertensives and in control group[12,25]. As
previously reported, the lowered CH was a predictive factor of visual field
loss progression in the glaucoma patients, while altered IOPg showed no
relationship with visual field changes[29]. In our
study, CH showed only small negative correlation with IOPg, both in patients
with TAO and in healthy individuals. In turn, we observed significant
correlation between decreasing CH and increasing IOPcc in both groups of
patients. According to above, IOPcc acts as a marker of the early subclinical
stages of glaucoma in patients with TAO.
Correlation
between CH and CRF was previously seen in patients with orbitopathy and in
healthy people[30]. Shah et
al[30] mentioned that CH, CCT and CRF
correlated with one another but the correlation was only moderate. This
suggests that CH and CRF are parameters measuring separate traits of the
corneal rigidity and these variables may be more useful when trying to adjust
IOP measurements in patients with altered ocular rigidity[31].
Similarly, our results revealed the marked positive correlation between CRF and
CH in both groups.
CRF represents an
overall resistance to deformation and is useful for differentiating between
individuals with false-positive results of IOPg and glaucoma[12]. Corneas with elevated CRF values (i.e. greater rigidity) require higher
pressure to achieve applanation, when compared to corneas with lowered CRF. In
our series, CRF was significantly lower in the study group in comparison with
the control group. We found weak correlation between CRF and IOPg in both
groups. According to the above, the lowered CRF of corneas in patients with TAO
can lead to the relatively underestimated values of IOPg and the missdiagnosed
glaucoma[12].
Interestingly, we did not see any correlation between CRF and IOPcc in both
groups (Table 4), which suggests that CRF affected IOPg value but not IOPcc. Our
finding proves that IOPcc is not prone to bias related to the affected
biochemical corneal characteristics in patients with TAO[11,32].
As a consequence, CRF and IOPcc are more reliable in early glaucoma detection
than IOPg.
In conclusion,
biomechanical parameters of cornea, as quantified by CH and CRF, and measured
together with IOPcc, precisely reveal glaucoma staging in TAO and thus are
reliable for diagnosing and follow-up in clinical practice.
ACKNOWLEDGEMENTS
Conflicts of Interest: Pniakowska Z, None; Kłysik A, None; Goś R, None; Jurowski P, None.
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