Thinking Out of the Box
The Lesson and Promise of Corneal Thickness
James D. Brandt, M.D.
Professor of Ophthalmology & Director, Glaucoma
Service
University of California, Davis
Background
Goldmann applanation tonometry (GAT) has been regarded for almost a half century
as the “gold standard’ of IOP measurement. Goldmann
and Schmidt acknowledged that their design assumptions were based
on a central corneal thickness (CCT) of 500 µm and that the accuracy
of their device would vary if CCT deviated from this value.
1
Given the paucity of published data at the time, 500
µm seemed a reasonable assumption for the ‘average’
patient. We now know CCT varies greatly among the general population,
to a degree that impacts the accuracy of GAT in daily practice.
In 1975, Ehlers cannulated
29 otherwise normal eyes undergoing cataract surgery and correlated
corneal thickness with errors in GAT.
2
He found that GAT most accurately reflected ‘true’
intracameral IOP when CCT was 520 µm, and that deviations
from this value resulted in an over- or under-estimation of IOP
by as much as 7 mmHg per 100 µm. Numerous investigators have since
demonstrated that CCT varies far more among otherwise normal individuals
than Goldmann and Schmidt ever dreamed;
3-6
differences in CCT are seen among different racial
and ethnic groups,
7, 8
can lead to mis-classification
of patients with normal tension glaucoma
9-11
and ocular hypertension.
9, 12-14
The importance of CCT in the management of glaucoma
patients, particularly those with ocular hypertension, was recently
driven home by findings from the Ocular Hypertension Treatment
Study (OHTS).
15-17
In the OHTS, patients were recruited who had untreated GAT measurements in one eye between 24 and 32 mmHg on two separate occasions (the other
had to be between 21 and 32 mmHg), with no secondary cause of
elevated IOP. The patients all had normal visual fields and optic
nerves. CCT was measured approximately two years after enrollment
was completed. Among the OHTS participants, 25% had CCT values
above 600 µm.
15
If
one uses Ehler’s correction of 7 mmHg/100
µM deviation from the nominal value of 520 µM, then as many as
50% of OHTS subjects had ‘corrected’ IOP values upon
entry below 21 mmHg! In a multivariate model of baseline characteristics
predictive of which subjects would develop glaucoma, CCT proved
to be the most potent.
17
The OHTS results demonstrate that many patients are being mis-classified in terms of glaucoma risk on the basis of erroneous
IOP estimates by GAT. Clearly, many individuals with elevated
GAT measurements but no other findings suggestive of glaucoma
probably have normal ‘true’ IOPs
and do not need treatment or even increased glaucoma surveillance.
What about patients with established glaucoma? Can CCT provide the clinician
with data to help refine target pressures? Some have argued that
we don’t yet know enough about CCT to use pachymetry
in daily practice. Should pachymetry
become a routine aspect of glaucoma care? Is this just the beginning
of a re-assessment of tonometry and the underlying assumptions in glaucoma management?
The EMGT versus the OHTS
An argument
against the use of CCT in the management of glaucoma patients
is that although the OHTS found a strong predictive relationship
between CCT and glaucoma conversion, the Early Manifest Glaucoma
Trial (EMGT) did not find such a relationship in patients already
diagnosed with glaucoma
18, 19
. To understand the disparity in the findings, it is
important to recognize the following:
1) The OHTS used
IOP as its primary entry criterion (at least from the standpoint of recruitment/screening),
with normality of VFs and nerves confirmed
afterwards. If CCT’s influence as a
predictive factor is primarily as a confounder of IOP measurement,
then the entry criteria for OHTS and the study design is perfectly
set up to demonstrate that CCT causes a mis-classification of risk - thus the powerful effect CCT
had in predicting who went on to get glaucoma.
2) In contrast,
in the EMGT, patients were recruited based on the presence of
damage, regardless of IOP and the recruitment bias an IOP cutoff
would cause; in fact, a large portion of the patients were those
whom many would consider classifying as having normal tension
glaucoma. Thus at the outset, the EMGT started with patients who
had demonstrated the propensity to sustain damage at whatever their ‘true’ IOP might be – errors
in IOP measurement become less important in such a situation.
It may be that if and when we have a correction algorithm and
apply it to the EMGT data, we may see a better dose-response relationship between
‘true’ IOP and progression. Finally, the EMGT was
a relatively small sample (at least compared to the OHTS) and
may not have the statistical power to find such a relationship.
The EMGT investigators have published few details on the range
and distribution of CCTs they measured
in their racially homogeneous population – it is quite possible
it was far narrower than what was found in the OHTS. If there
is an effect of CCT on progression rates in established disease,
the EMGT might be too small, and the range of IOPs and CCTs too narrow, to pick
it up.
Stratifying Risk among Glaucoma Patients
Another argument against the
routine use of pachymetry data in the
management of glaucoma patients is that patients already carrying
the diagnosis of glaucoma have demonstrated a propensity to sustain
damage at the IOPs they presented with.
While this may be true, the setting of target pressures can be
refined by the use of pachymetry data.
Weizer and co-workers recently performed a retrospective review
of all newly-referred glaucoma patients over several years.
20
In both univariate and multivariate
analyses, CCT had a stronger (inverse) relationship to the degree
of glaucoma damage than anything else, including IOP! The implication
of this finding is that patients with thin corneas have higher
IOPs than are appreciated by the clinicians
caring for them – in a patient with advanced disease and
a CCT of 480 µm, perhaps the clinician should not consider a GAT
measurement of 15 mmHg as acceptable. Thus the knowledge of a
patient’s CCT will allow the appropriate titration of therapy
to suit the individual.
How to use CCT data
A third argument against the
routine use of pachymetry data in the
management of glaucoma patients is that there is wide disagreement
among investigators as to whether there is an adequately validated
‘correction algorithm’; without a validated algorithm,
the argument goes, clinicians can’t use the data.
The question of whether such
an algorithm exists is, in my opinion, not particularly important
in daily practice. The clinician should be cautious in extrapolating
Ehlers’ findings to general clinical practice. His study
was based on a small number of eyes (29) that included a relatively
narrow range of CCTs (450 to 590 µm).
2
The interested reader is referred to a detailed exploration
of the mechanical characteristics of the cornea and the role of
CCT in GAT error by Orssengo and Pye
21
in which a mathematical and engineering model closely
approximates Ehlers’ and other published cannulation
data. Based on this and the OHTS findings it is my opinion that
Ehlers’ estimate is probably close to the magnitude of error
that occurs in real life. If there is one thing I’ve learned
over the past few years of performing pachymetry on most of my patients is that one can take far
better care of patients simply by categorizing corneas as ‘thin,
average or thick’, just as it is important to recognize
that optic discs come in ‘small, medium and large’,
allowing the clinician to interpret disc configurations accordingly.
CCT’s Effect on
Response to Treatment
We have recognized for years
that individual patients respond to identical treatment with enormous
variability. This has been attributed to a variety of factors,
including patient compliance, differing disease stage, underlying
pharmacokinetics pharmacologic responsiveness and pharmacophysiology.
Might variations in CCT explain a significant portion of this
variability? The answer is probably yes. In the OHTS, patients
underwent a monocular treatment trial at the initiation of the
study in 1994-1996; most were treated with a non-selective ß-blocker.
This dataset provides a unique opportunity to explore the relationship
between CCT and treatment response. The OHTS dataset is being
analyzed for this relationship right now, but a preliminary look
(ARVO 2001) at a subset of the data demonstrated that OHTS participants
with CCTs in the upper (thicker) quartile responded about 1.5 to
2.0 mmHg less than those in the lowest (thinnest) quartile. A
virtually identical finding was observed in the bimatoprost
Phase III clinical trial. In other words, in a given cohort of
patients receiving identical therapy, patients with ‘thin’
corneas appear to respond than those
with ‘thick’ corneas. Probably the best way to understand this
observation is to imagine a balloon and a basketball of similar
size; at any given pressure, the basketball will always feel ‘firmer’
than the balloon, even though the internal pressures might be
identical. The bottom line is that we will need CCT data to better
understand efficacy data when evaluating IOP-lowering therapies.
LASIK-Induced Normal Tension Glaucoma
A million LASIK procedures are
performed each year among mostly young to middle-aged myopes.
Myopia is a strong risk factor for the development of glaucoma
22
, and perhaps as many as 5 to 10% of the patients undergoing
LASIK today are destined genetically to develop glaucoma in the
coming decades. Although we do not yet (and may never) know how
to ‘correct’ a GAT measurement made on a LASIK-thinned
cornea, it is clear that in many cases GAT will grossly under-estimate
IOP. It is easy to predict that ten or fifteen years from now
patients will neglect to inform their treating ophthalmologist
(or screening optometrist) that they had LASIK back in 2001, and
a GAT measurement of 18 mmHg is regarded as ‘normal’
despite a 425 µm cornea. Unless pachymetry becomes a part of the routine glaucoma exam, (or
tonometry technologies independent of
CCT are developed and widely disseminated) patients like this
will fall through the cracks.
Some Predictions and Random Thoughts ‘Outside
the Box’ about CCT
CCT is but the tip of the iceberg.
GAT estimates IOP by measuring the cornea’s elasticity,
as supported by the intraocular pressure. CCT is probably a major
(?the major?) component of corneal
elasticity, but it is likely not the only component. The mix of
collagen types, corneal hydration, packing
density of collagen fibrils, the extra-cellular matrix and other
factors undoubtedly vary among individuals and in some patients
may dwarf the effect of CCT on the accuracy of IOP estimation.
In view of this, all bets are off for how LASIK impacts corneal
elasticity! We really don’t understand the biomechanical
properties of the cornea. This raises some intriguing questions.
Might the potent (observed) effect of the hypotensive
lipid medications result not only from their impressive effects
on outflow but also through an effect on the corneal extracellular
matrix (and thus the cornea’s deformability and elastic
properties)? No one knows.
The CCT story has caused us
all to grudgingly face the fact that
our ability to accurately measure IOP is far weaker than we’ve
ever imagined – our profession has spent half a century
deluding ourselves both that we were good at tonometry and that a one-time measurement told us something
about our patients. A failure to question whether our measurement
techniques were sufficiently accurate to guide patient care has
led us to a propose variety of hypotheses to explain the ‘outliers’
– patients who didn’t seem to fit the mold of a pressure-sensitive
disease. One likely scenario,
in my mind, is that as our ability to measure IOP becomes more
accurate (and especially once we achieve 24 hour monitoring),
a much tighter dose-response relationship between glaucoma damage
and IOP will be found. The healthy eye probably regulates IOP
within a much tighter range than we can measure
As we refine tonometry, I predict that glaucoma will turn out to be a whole
lot more complicated and at the same time a whole lot simpler.
We have tended hedge our bets by defining IOP as a ‘risk
factor’ rather than as the ‘causative factor’
it really is out of collective discomfort with the ‘messiness’
of the relationship between pressure and disease.
In the end, glaucoma really
is
a ‘pressure-sensitive’ optic neuropathy.
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