Journal List > J Korean Ophthalmol Soc > v.51(4) > 1008790

Kim, Shim, Kim, and Sohn: Comparison of Outcome of Trabeculectomy With Mitomycin C and Ahmed Valve Implantation for Uveitic Glaucoma

Abstract

Purpose

To assess and compare the clinical outcomes of primary trabeculectomy with mitomycin C and Ahmed valve implantation for secondary open-angle glaucoma following uveitis.

Methods

This study was conducted retrospectively on 30 eyes of 25 patients with open-angle glaucoma secondary to uveitis that had undergone trabeculectomy with mitomycin C and 33 eyes of 24 patients that had undergone Ahmed valve implantation. The clinical outcome indicators used in this study were intraocular pressure (IOP), number of antiglaucoma agents, surgical success rate and occurrence of complications.

Results

Mean IOP and surgical success rate in patients who had undergone trabeculectomy with mitomycin C after a 12 month postoperative period were 14.0±8.2 mmHg and 76.7%, respectively, while those of patients with Ahmed valve implantation were 13.2±7.7 mmHg and 81.8%. The data did not show clinical significance. There was greater risk of surgical failure in patients at a younger age and/or with diabetes mellitus in cases of having gone through trabeculectomy with mitomycin C.

Conclusions

Both trabeculectomy with mitomycon C and Ahmed valve implantation can be considered as primary surgical treatments for patients with open-angle glaucoma secondary to uveitis. However, trabeculectomy with mitomycin C should only be applied to a limited extent in patients that are young and/or have diabetes mellitus.

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Figure 1.
Kaplan-Meier survival curve showing the cumulative probability of success following trabeculectomy with mitomycin C and Ahmed valve implantation. These two curves are not significantly different (p=0.223, log rank test).
jkos-51-575f1.tif
Figure 2.
Comparison of intraocular pressure (IOP) of trabeculectomy with mitomycin C and Ahmed valve implantation according to each follow-up periods. IOP of Ahmed valve implantation was significantly lower than trabeculectomy with mitomycin C after post-op 1day and 1 week. But, IOP of trabeculectomy with mitomycin C was maintained more stably during follow-up periods.
jkos-51-575f2.tif
Table 1.
Basic demographics of patients
  Trabeculectomy with mitomycin C (N=30) Ahmed valve implantation(N=33) p-value
Mean age, yr (SD) 50.60 (9.94) 48.21 (13.3) 0.429*
Male/Female 22/8 23/10 0.787
OD/OS 20/10 23/10 0.504
Previous ocular surgery 21/9 21/12 0.395
Duration of uveitis, yr (SD) 3.75 (4.14) 2.56 (2.88) 0.400
Duration of use of preoperative antiglaucoma agents, yr (SD) 0.70 (0.96) 1.85 (2.16) 0.027
Duration from diagnosis to surgery, yr (SD) 1.10 (2.07) 2.01 (2.45) 0.099
Periods of follow up, yr (SD) 3.34 (1.95) 3.52 (2.15) 0.770

* t-test

Mann-Whitney U test

Chi-square test.

Table 2.
Comparison of preoperative vs. postoperative number of anti-glauco
  Trabeculectomy with mitomycin C (N=30) Ahmed valve implantatio (N=33) n p-value
Number of antiglaucoma agents, preoperative (SD) 1.77 (1.07) 1.88 (0.99) 0.692*
Number of antiglaucoma agents, postoperative 12 months (SD) 0.46(0.81) 0.83 (0.88) 0.085

* t-test

Mann-Whitney U test.

Table 3.
Analysis of parameters which could influence on succeed of trabeculectomy with mitomycin C
  Exp(B) p-value
Age 0.888 0.032
Duration of uveitis 0.664 0.375
Duration of use of preoperative antiglaucoma agents 0.396 0.965
Number of preoperative antiglaucoma agents 0.783 0.141
Preoperative intraocular pressure 0.032 0.733
Duration from diagnosis to surgery 0.031 0.246
Previous ocular surgery 0.077 0.112
History of diabete mellitus 0.476 0.014

Binary Logistic Regression.

Table 4.
Analysis of parameters influencing success of Ahmed valve implantation
  Exp (B) p-value
Age 0.025 0.603
Duration of uveitis 0.218 0.616
Duration of preoperative use of antiglaucoma agents 0.743 0.745
Number of preoperative antiglaucoma agents 0.388 0.536
Preoperative intraocular pressure 0.040 0.519
Duration from diagnosis to surgery 0.714 0.700
Previous ocular surgery 0.668 0.697
History of diabetes mellitus 0.305 0.497

Binary logistic regression.

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