Micropulse laser trabeculoplasty (MLT) using a diode laser is a recent addition to the treatment of glaucoma.1 MLT breaks up the laser energy into shorter (milliseconds) repetitive pulses followed by an intermittent rest period.
Breaking up the laser energy into short
segments reduces build-up of thermal energy and allows for return of the cells
to baseline temperature and prevents cell death. There appears to be no visible
cellular molecular changes while still inducing beneficial remodeling of the
trabecular meshwork.1,2
Although
the exact mechanism of MLT in lowering intraocular pressure (IOP) is unclear, it
has been shown to be an efficacious and safe treatment in small studies consisting
of homogenous patients and shorter follow-up.1,3-9 Increased energy
and larger spot size have been shown to influence IOP reduction, while number
of spots, presence of peripheral anterior synechiae (PAS), age, and sex did not
appear to affect MLT outcomes.7 The effect of the stage of glaucoma
damage (mild, moderate, or severe) and other ocular and systemic characteristics
on the outcome of MLT has not been fully investigated.
Therefore,
the primary aim of our study was to determine the efficacy and safety of MLT in patients
with mild, moderate, or severe primary open angle glaucoma (POAG). The
secondary aim was to determine any correlations between ocular patient
characteristics (visual field defect (VFD), spherical equivalence (SE), best
corrected visual acuity (BCVA), central corneal thickness (CCT), cup-to-disc (C/D)
ratio, phakic status, pre-operative IOP, pre-operative number of medication, and
any prior glaucoma treatment) or systemic patient characteristics (age, sex,
race, family history of glaucoma, body mass index (BMI), hypertension (HTN),
and diabetes mellitus (DM)) on MLT
outcomes. It is also hypothesized that MLT results will be at least similar to the
published IOP outcomes of adjunct selective laser trabeculoplasty (SLT) and
demonstrate less post-operative complications.
METHODS
Study Design
This retrospective chart review study was approved by the
Institutional Review Board of the University Of Texas Southwestern Medical
Center (UTSW). A list of consecutive patients who received MLT between April
2015 and November 2017 was obtained from the laser log book maintained at UTSW.
We adhered to the tenets of the United States Health Insurance Portability and
Accountability Act of 1996 (HIPAA) and the Helsinki Declaration. All patients
provided written informed consent prior to surgery.
Selection of Patients
Charts
of all consecutive patients who underwent MLT were reviewed. Patients were
included if they were diagnosed with POAG and were on antiglaucoma medications.
POAG was defined as an ocular condition with an open iridocorneal angle on
gonioscopy, characteristic glaucomatous optic nerve changes such as cupping,
notching, corresponding VFDs consistent with glaucoma with or without elevated
IOP. Those who had received SLT or argon laser trabeculoplasty (ALT) more than
one year prior to MLT were included.
Patients were excluded if they were <18
years old, had angle closure glaucoma, secondary glaucoma, only one functional
eye, no light perception vision,
corneal, retinal or any other media opacities, any intraocular surgery three
months prior to MLT, less than three months of post-MLT follow-up and those who
were unable to keep post-op appointments or
who left the area.
Measurements
Age, race, gender, family history of glaucoma, BMI, HTN,
DM, BCVA, SE, CCT (Corneo-Gage Plus Sonogage Pachymeter Sonogage, Cleveland,
OH, USA), pre-operative BCVA in LogMAR units, C/D ratio, phakic status, VFD (
Humphrey Field Analyzer 3, Humphrey Instruments, CA, USA), pre-operative number
of antiglaucoma medications, prior ALT or SLT, prior glaucoma surgeries, number
of MLT spots, pre-operative IOP, complications, post-operative IOP at one hour,
one week, one month, three months, six months, and one year were recorded.
Pre-operative IOP was the average pressure of the last
three visits prior to MLT and was measured by Goldman applanation tonometer
(Haag-Streit, Inc. Koeniz, Switzerland). Combination anti glaucoma drops were
counted as two medications. Complications recorded included IOP spikes between
5 and 10 mmHg, IOP spikes ≥10 mmHg, peripheral anterior synechiae (PAS), pain,
and any other serious complications. VFDs were classified as mild (mean
deviation (MD) 0 to -6 dB), moderate (MD -6.01 dB to -12.0 dB), and severe (MD
> -12 dB) based on a modified Hodapp-Parish-Anderson grading scale.10
Intervention
A single session of MLT was performed by KSK using an
Iridex IQ All-Yellow 577 diode laser system (Iridex Corporation, Mountain View,
CA, USA) with a spot size of 300 μm, power of 1000 or 1400 mW, a duration of
300 milliseconds, over 360° of the pigmented trabecular meshwork and a duty
cycle of 15%. A duty cycle is the percentage of time that the laser stays
active during treatment duration. An average (range) of 140 (50-218) confluent spots
were administered using a MLT goniolens (Ocular Instruments, Bellevue.
Washington, USA.)
One
hour prior to surgery, two drops of proparacaine 0.5% (Bausch & Lomb,
Rochester, NY, USA) and one drop of apraclonidine 1% (Alcon Laboratories, Fort
Worth, TX, USA) each five minute apart were instilled followed by one drop of the
latter post-operatively. At one-hour post-MLT, patients were reexamined and had
their IOPs checked. They were instructed
to continue their usual glaucoma regimen and return in one week. No
anti-inflammatory medications were necessary.
Definition of Success and Failure
Success with MLT was defined as
reduction of pre-treatment IOP by ≥ 10% or to ≤18 mmHg, whichever was lower,
without additional antiglaucoma intervention at one year follow up. We selected
IOP of ≤18 mmHg based on the criteria used by the Advanced Glaucoma
Intervention Study (AGIS) .11 Failure was defined as no further reduction
of IOP or when patients required additional glaucoma treatments. Upon meeting
the failure criteria, further data collection for the patient was ended. Final
date of examination, BCVA, IOP, and additional treatment were also recorded.
Statistical Analysis
Patients
who received MLT in both eyes, only one eye was randomly selected for analysis.
Chi square goodness of fit and one-way ANOVA tests were used to determine any
characteristic differences between patient groups. Paired t-tests were
performed to compare IOP at various time points for all groups. Univariate and
multivariate binary logistic regression analyses were performed to analyze differences
between success and failure groups at one year. Odds ratios (ORs) were also generated
from binary logistic regression analyses. A p-value <0.05 was considered
statistically significant. All statistical analyses were performed using IBM
SPSS Statistics package (IBM SPSS, New York, NY, USA).
RESULTS
Demographics
The
charts of 186 patients identified from the laser room log book were reviewed.
Sixty-six (35.4%) patients were excluded based on the selection criteria.
Demographics for the remaining 120 (64.5%) patients included in the study
broken down into patients with mild, moderate, and severe glaucoma are shown in
(Table I). Overall, the population was 53.3% female, 42.5% white,
and had a mean age of 69 years. Patients with severe glaucoma were found to be
younger and more likely to be black while those with mild glaucoma were found
to have lower C/D ratios and less pre-op medications. In addition, patients with
moderate glaucoma had more prior cataract and glaucoma filtering surgeries. Other
variables were not different between groups.
Table
I. Baseline demographics and pre-operative
descriptive statistics.
Variable (%) ± SD
|
Mild (n=23)
|
Moderate (n=53)
|
Severe (n=39)
|
Total (n=120)
|
P-Value
|
Sex (F)
|
48.00
|
55.00
|
56.00
|
53.30
|
0.797
|
Age (yrs.)
|
68.78 ± 9.23
|
72.43 ± 8.66
|
64.36 ± 10.56
|
69.3 ± 9.99
|
<0.001
|
Race
|
|
|
|
|
|
White
|
30.400
|
54.700
|
30.800
|
42.500
|
0.038
|
Black
|
56.500
|
22.600
|
48.700
|
38.300
|
0.003
|
Hispanic
|
4.300
|
13.200
|
12.800
|
10.800
|
0.529
|
Asian
|
4.300
|
5.700
|
5.100
|
5.000
|
0.951
|
East Indian
|
4.300
|
3.800
|
2.600
|
3.300
|
0.910
|
Body mass index (kg/m2)
|
31.95 ± 9.85
|
28.18 ± 6.83
|
30.64 ± 7.62
|
29.9 ± 7.8
|
0.112
|
Hypertension
|
82.6
|
62.26
|
74.36
|
71.70
|
0.163
|
Diabetes mellitus
|
34.80
|
28.30
|
33.30
|
31.70
|
0.808
|
Family history of glaucoma
|
47.80
|
39.60
|
48.70
|
44.20
|
0.994
|
Right eye selected
|
56.50
|
50.90
|
56.40
|
54.20
|
0.840
|
Visual Field Defect
|
|
|
|
|
|
Mild
|
100.00
|
0.00
|
0.00
|
19.20
|
<.001
|
Moderate
|
0.00
|
94.30
|
0.00
|
41.70
|
<.001
|
Severe
|
0.00
|
0.00
|
97.40
|
31.70
|
<.001
|
Spherical Equivalence
|
-.37 ± 2.47
|
-.90 ± 1.94
|
-1.61 ± 1.86
|
-1.04 ± 2.74
|
.241
|
Myopia
|
57.20
|
69.60
|
62.60
|
63.40
|
0.681
|
Hyperopia
|
0.00
|
3.80
|
12.81
|
7.73
|
0.225
|
BCVA LogMAR (Median)
|
0
|
0.2
|
0.2
|
0.1
|
0.313
|
CCT (μm)
|
542.43 ± 37.45
|
538.82 ±
40.39
|
532.06 ± 42.56
|
537.28 ±
40.14
|
0.637
|
Cup-to-disc ratio
|
0.582 ± .19
|
0.775 ± .16
|
0.828 ± .17
|
0.755 ± .19
|
<.001
|
Phakic
|
95.70
|
64.20
|
82.10
|
75.83
|
0.007
|
Pre-op IOP (mmHg)
|
17.913 ± 3.20
|
18.516 ± 4.33
|
19.015 ± 5.07
|
18.663 ± 4.42
|
0.633
|
Pre-op Number of Medications
|
2.09 ± 1.0
|
2.34 ± 1.11
|
3.23 ± 1.01
|
2.58 ± 1.12
|
0.002
|
No Prior Operative Treatment
|
82.60
|
67.90
|
61.50
|
68.30
|
0.222
|
Prior ALT/SLT
|
17.40
|
28.30
|
20.50
|
23.30
|
0.509
|
Prior Laser Peripheral Iridotomy
|
0.00
|
0.00
|
2.56
|
0.83
|
0.336
|
Prior Filtering Device
|
0.00
|
5.70
|
2.31
|
10.80
|
0.005
|
Complications *
|
0.00
|
3.80
|
7.70
|
5.00
|
0.344
|
Requiring Additional Medications
|
21.70
|
20.80
|
15.40
|
20.00
|
0.761
|
Requiring Additional Surgery
|
8.70
|
17.00
|
20.50
|
15.80
|
0.477
|
Successful treatment
|
52.38
|
44.73
|
35.48
|
43.01
|
0.573
|
IOP reduction at one year
|
9.53
|
15.93
|
7.63
|
11.16
|
.332
|
*Complications were four cases of transient
IOP rise ≥5mmHg and two cases of self-reported pain
|
Legend
Table I. Baseline
demographics and pre-operative descriptive statistics
BCVA: Best corrected visual acuity
LogMAR: Logarithmic of the minimum angle
of resolution
CCT: central corneal thickness
IOP: Intraocular pressure
ALT: Argon laser trabeculoplasty
SLT: Selective laser trabeculoplasty
Efficacy
(Figure
1) shows IOP for
all patients over time while IOP in mild, moderate, and severe glaucoma is
shown in (Figure 2). IOP trend based on failure and success is
shown in (Figure 3). Average IOP reduction at one year in all
groups, mild, moderate, and severe were 11.15%, 9.53%, 15.93%, and 7.63%
respectively (n=55, p<0.05). Patients with successful MLT at one year had a
mean IOP reduction of 15.72% (p<0.001) while patients with failure MLT had a
mean IOP reduction of 4.1% (p=0.015). Reductions in IOP in all patient groups
for various time points were significant compared to baseline except for mild
at one week, one month, and six months; severe at three months; and success at
three months. At one year, out of 93 patients who qualified, MLT failed prior
to one year in 53 (57%) of patients and succeeded in 40 (43%). Twenty-four (20%)
of patients required an additional antiglaucoma medication and 19 (15.8%)
required additional antiglaucoma surgery.
Figure 1. Intraocular pressure over time for all
patients
Figure 2. Intraocular
pressure over time for mild, moderate, and severe glaucoma groups
Figure 3. Intraocular
pressure over time for success and failure groups
Safety
Only four
cases (3.3%) of transient IOP spikes between 5 and 10 mmHg, two cases (1.7%) of
self-reported pain, and no instance of PAS were observed. Median BCVA for
successful patients was unchanged over the course of treatment (p <0.05).
Predictors
of success
Univariate
binary logistic regression was performed for 26 covariates displayed in (Table
II). Increased pre-op IOP was found to be significantly associated with
MLT failure in both Univariate (p=0.013, OR=0.866) and multivariate analyses (p=0.043,
OR=0.626). Increased C/D ratio was found to be significantly associated with
MLT failure in Univariate analysis (p=0.029, OR=0.086) but not multivariate
analysis. Increased pre-op number of medications was found to be significantly
associated with MLT failure in multivariate (p=0.044, OR=0.077) but not Univariate
analysis. Multivariate analysis excluded variables found to be highly
collinear.
Table II. Odds ratios of cofactors in Univariate
and multivariate regression analysis predictors of success
Legend
Table II. Odds ratios of cofactors in univariate and
multivariate binary logistic regression analysis predictors of failure.
LL: Lower limit 95% confidence interval
of odds ratio
UL: Upper limit 95% confidence interval
of odds ratio
CCT: Central corneal thickness
BCVA: Best corrected visual acuity
VFD: Visual field defect
ALT: Argon laser trabeculoplasty
SLT: Selective laser trabeculoplasty
IOP: Intraocular pressure
Asian/other race was excluded as n<10
Prior ALT/SLT and prior glaucoma shunts
were excluded as they were highly collinear with no prior treatment
Total energy was excluded as it was
highly collinear with spots and power
DISCUSSION
This study was designed to determine the efficacy and safety of adjunct MLT in mild, moderate, and severe glaucoma and look for any predictors of MLT success. We also hypothesized that MLT results would be at least similar to the published IOP outcomes of adjunct SLT and demonstrate less post-operative complications.
Efficacy
IOP reduction following MLT in this study are consistent with the reported range of 7.5 to 22.1%.1,3-9 Although our study is on the lower side of reported reductions, our patient population started with the baseline IOP of 18.69 mmHg while studies reporting higher reductions had patient populations with a baseline IOP around 25 mmHg.1,3 Our pre-treatment IOP was the mean of the last three clinic IOP measurements, while except for Fea at al 3, all the other studies used a single pre-MLT IOP value 1,4-9. Final IOP of patients in our study was lower than Fae et al.3 who reported the highest reduction of 22.1% with a final IOP of 19.5 mmHg and similar to those reported by Lee et al.1 who reported the second highest reduction of 19.8%.
The reported success of MLT varies wildly from 2.5% to 75% based on various definitions of success and follow-up times.1,3,6,9 The success rate in our study of 43%, is close to 35.7% reported by Detry et al. of 35.7%.9 Lee et al. reported a success rate of 73%; however this success rate was based on IOP reduction at one month follow-up.1 Fae et al. published a success rate of 75%; however their target IOP was 21 mmHg while ours was 18 mmHg.3 In our study, 20% of patients required additional antiglaucoma medications while 15.8% needed more surgeries, which is consistent with other investigations.3,6,7
Ocular
Predictors
The
only study analyzing the effect of ocular characteristic on MLT outcomes is by Babalola
who focused on spot size and energy.7 Our study found no such
correlation between total energy and IOP reductions at one year (r=.152,
p=.288). This may be due to the fact that our baseline energy delivered was
higher than suggested by Ahmed et al. and Babalola.7,8 Therefore, it
is possible that we have found an “upper limit” of effective energy in MLT. Similar
upper limit has been reported with SLT.12 From our study we can
state that energy beyond 1000 mW and 140 spots may not provide extra benefits
to patients.
Increased
pre-op IOP was found to be a significant predictor of failure. This is contrary
to a majority of reports for SLT that indicate increased pre-op IOP as a
predictor of success.12-16 We selected a target IOP of 18 mmHg in accordance with AGIS.11
Most patients were treated before their IOP’s were >20 mmHg, so our study
findings may not compare well to other studies with higher baseline IOPs.12-16
We postulate that , higher pre-op IOP despite maximum medical therapy in our
patients may be indicative of poor trabecular meshwork function and thus limited
MLT response.
Increased
number pre-op medications was also found to be a significant predictor of
failure in SLT.15 Some
classes of medications may share a similar proposed mechanism of laser
trabeculoplasty in terms of cytokines and molecular events, which could compete
with and thus reduce the potential full effect of trabeculoplasty.17,18
It has also been postulated that prostaglandin analogs may counteract the full
effects of SLT by promoting uveoscleral outflow which leads to hypoperfusion of
the trabecular meshwork.19 It
is also possible that patients on multiple medications have more recalcitrant forms
of glaucoma with unresponsive trabecular meshwork. This suggests MLT may work
better as a primary rather than adjunctive therapy, as proposed for SLT.15,16
We
found that increased C/D ratio (glaucomatous cupping) was a significant predictor
of failure. Increased glaucomatous cupping has been shown to correlate with IOP.20,21
Therefore, our finding that increased C/D ratio is associated with MLT failure
may be due to higher pre-op IOP.
These
findings indicate that severe glaucoma patients may not respond as well to MLT
as their mild and moderate counterparts do.
VFDs, CCT, refractive errors, prior treatment, number of laser spots delivered, were found to be insignificant predictors of
success, similar to prior SLT studies.12-16
Systemic
Predictors
We have
shown that age, gender, race, BMI, hypertension, diabetes, family history, did
not significantly influence success. Similarly, Babalola also found no
correlation between age, sex, and MLT outcomes. 7 In addition, SLT
studies have not demonstrated any systemic predictors of outcomes.12-16
Safety
MLT was
found to be a safe treatment in our study consistent with prior reports on its
safety.1,3-9 Adjunct SLT has been reported to have IOP spikes >10
mmHg in 10% of patients with POAG and >5 mmHg in 21% of patients as well as prolonged
anterior chamber inflammation.22,23 Damji et al 24.
reported PAS formation in 1.1% of
patients treated with SLT while we observed no PAS or >10 mmHg IOP spikes.
Comparison
of Efficacy to SLT
In a
one year randomized clinical trial Damji et al 24. Reported SLT to
have a 24.59% reduction in IOP at one year, but the patient population also had
a larger baseline IOP of 23.84 mmHg compared to this study’s population
baseline IOP of 18.69 mmHg. Final mean IOP at one year was actually lower for
our MLT patient population at 15.87 mmHg compared to SLT’s 17.97 mmHg.24
They defined success as IOP reduction >20% and no additional glaucoma
treatments.24 Our study defines success as an IOP reduction ≥10% or
IOP ≤18 mmHg, whichever was lower, and no additional glaucoma treatments. The
difference in definitions is due to the lower baseline IOP of our study. In
their study 18% of patients who received SLT required an additional
antiglaucoma medication and 19.1% required additional surgery with an overall
success rate of approximately 40%.24 In our study, 20% of patients
who received MLT required an additional antiglaucoma medication, 15.8% required
additional surgery, and overall success was 43%. MLT appears to be as effective
as SLT.
Limitations
Limitations
of this study include the inherent weaknesses of all retrospective studies.
Retrospective chart review does not allow for full experimental control and
results may be influenced by various factors such as compliance and patient
follow up. Any significant correlations found cannot be definitive proof of
underlying mechanisms. While we seek to explore the efficacy of MLT, confounding
factors such as prior treatments, existing medical treatment, and compliance
could all affect the outcomes measured in this study. Our patient population
consisted of those diagnosed with uncontrolled POAG, therefore, results may not
apply to patients with ocular hypertension, or those receiving repeat MLT. Lastly,
we did not compare MLT and SLT. A well-designed, long-term prospective study is
needed to compare the efficacy of MLT to SLT.
CONCLUSION
Adjunct MLT
is modestly efficacious and safe treatment that may offer additional long term
IOP control for patients with POAG who are not responsive to medical treatment.
Patients with mild and moderate glaucoma may
respond better to adjunct MLT than those with severe glaucoma. Finally, adjunct
MLT is as efficacious as adjunct SLT and as safe, if not safer.
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