3. Results
Demographic baseline data are presented in
Table 1. There was no significant difference among the cohorts in baseline age, logMAR best-corrected visual acuity, preoperative IOP, the mean of three consecutive preoperative IOP measurements under topical medications, or the number of preoperative medications. However, the refractive error in the T hook cohort was significantly less than that in the S-lot cohort (P=0.048). The mean deviation (MD) of the Humphrey Visual Field Analyzer was significantly worse in the S-lot cohort compared to the other three COS cohorts (P<0.005).
The extent of canal opening in the S-lot cohort was 325 ± 87°, which was significantly greater than that in the T hook (153 ± 52), KDB (137 ± 28), TMH (129 ± 23°) cohorts (P<0.001). While the difference between T hook and TMH (P=0.067), and between T hook and KDB (P=0.43) were not statistically significant according to Tukey’s multiple comparison test.
The mean follow-up periods were as follows: KDB, 47.9±16.8 months; TMH, 30.3±18.9 months; T hook, 16.0±9.7 months; and S-lot, 35.1±21.1 months. The follow up period for the T hook cohort was significantly shorter (P<0.001), while that for the KDB cohort was significantly longer than the other three COS cohorts (P<0.005) as determined by Tukey’s multiple comparison test.
Figure 1 shows the time course of postoperative IOP across the four COS cohorts (
Figure 1).
IOP between 1 month and 3 years postoperatively was significantly lower than pre-operative IOP in all four cohorts with a P<0.001 using Wilcoxon signed rank test. A short-term elevation in IOP was observed at 1 week in the KDB, TMH and S-lot cohorts, likely reflecting the effects of postoperative intracameral bleeding. Despite this early increase, the IOP at 1 week remained significantly lower than preoperative levels in the TMH (P=0.005), S-lot (P=0.011) and T hook (P<0.001) cohorts; however, the reduction in the KDB cohort was not significant (P=0.198).
The number of anti-glaucoma medications significantly decreased from baseline in all cohorts. Preoperative medications used in the KDB, TMH, S-lot and T hook cohorts was 2.6±1.3, 2.7±1.5, 3.2±1.1 and 2.8±1.3, respectively. At 3 months postoperatively, the number of medications decreased to 1.2±1.0, 1.7±1.4, 2.1±1.3 and 1.8±1.3, respectively (all P<0.001, Wilcoxon signed rank test). A gradual increase in medication use was observed at 2 years, reaching 1.6±1.2, 1.8±1.3,2.4±1.4, and 2.4±0.9, respectively. Despite this increase, the number of medications at two years remained significantly lower than pre-operative baseline in all cohorts (P<0.05 Wilcoxon signed rank test).
Figure 1.
Time course of postoperative IOP in the four canal-opening surgery cohorts.
Figure 1.
Time course of postoperative IOP in the four canal-opening surgery cohorts.
Figure legends for
Figure 1: A transient elevation (“hump”) in IOP was observed at 1 week postoperatively in the KDB, TMH and S-lot cohorts, likely reflecting a response to postoperative intracameral bleeding. Following this initial rise, IOP decreased significantly in all cohorts and remained reduced through 3 years of follow-up. Postoperative IOP in the S-lot cohort was significantly lower than in the other three sectorial COS cohorts, as determined by Tukey’s multiple comparison test (
Table 2)
Although there was no difference in baseline preoperative IOP or the mean of three preoperative IOP measurements under medication among the four COS cohorts, one way ANOVA revealed a significant difference in postoperative IOP among the cohorts over the follow up period from 1 month to 3 years (P<0.05,
Table 2).
According to Tukey’s multiple comparison test, the postoperative IOP in the S-lot cohort was significantly lower than that in the TMH cohort at 1 month through 3 years, the KDB cohort at 6 months and 12 months, and the T hook cohort at 1month, 6 month and 1 year, respectively (
Table 2).
A significant difference in the percentage reduction of IOP was observed among the four COS cohorts between 3 months and 2 years, as determined by one-way ANOVA (
Table 3). Using Tukey’s multiple comparison test, the percentage IOP reduction in the S-lot cohort was significantly greater than that in the KDB cohort between 3 months and 1 year, the TMH cohort between 6 months and 2 years, and the T hook cohort between 6 months and 1 year. In contrast, no significant differences were observed in the percentage IOP reduction among the three sectorial COS procedures (KDB, TMH and T hook).
According to Dunnett’s multiple comparison test, the comparison between T hook and KDB cohorts yielded a P value of 0.089 at 3 months. Although the T hook cohort tends to show greater IOP reduction, this difference was not statistically significant.
Figure 2.
Time course of postoperative IOP in the three sectorial COS cohorts.
Figure 2.
Time course of postoperative IOP in the three sectorial COS cohorts.
Figure legend for
Figure 2: At 1 week postoperatively, IOP in the KDB (P=0.063) and TMH (P=0.052) cohorts was marginally higher than in the T hook cohort. At 3 months, IOP in the TMH cohort was significantly higher than in the T hook cohort (P=0.029;
Table 2), potentially reflecting a higher prevalence of postoperative clot formation and a greater density of red blood cell in the anterior chamber (
Table 5 and
Table 6). However, from 6 months onward, no differences in IOP were observed among the three sectorial COS cohorts.
When comparing postoperative IOP among three sectorial COS cohorts (KDB, TMH, and T hook), a transient elevation above the mean of three preoperative IOP measurements at 1 week was observed in KDB and TMH cohorts (
Figure 2). According to Dunnett’s multiple comparison test, IOP in the KDB (P=0.063)and TMK(P=0.052) cohorts at 1 week were marginally higher than in the T hook cohort, possibly due to greater intracameral bleeding and clot formation in the KDB and TMH cohorts (Tables 5,6). The significant difference in IOP between the T hook cohort and TMH cohort at 3 months (P=0.029) according to Dunnett’s multiple comparison test may also reflect effects of intracameral bleedings (
Table 2). After 3 months, no significant differences in IOP were detected among the three sectorial COS groups through 3 years of follow-up (
Table 2).
Kaplan Meier life table analysis supported these findings. A significant difference was observed among the four COS cohorts in achieving postoperative IOP targets of ≤15 mmHg and ≤18 mmHg under medication. At 3 years, cumulative success probability for achieving IOP ≤15 mmHg was highest in the S-lot cohort (65.9±9.4%), compared to KDB (23.9±7.0%), T hook (39.9±7.4%) and TMH (18.4±6.4%), with a significant difference by log rank test (P<0.001). In contrast, no significant difference was found among the three sectorial COS procedures for this outcome (P=0.478, log-rank test)
Figure 3.
Kaplan-Meier Survival Curves: Probability of Achieving Postoperative IOP ≤15 mmHg Following Four Types of Canal-Opening Minimally Invasive Glaucoma Surgeries (MIGS).
Figure 3.
Kaplan-Meier Survival Curves: Probability of Achieving Postoperative IOP ≤15 mmHg Following Four Types of Canal-Opening Minimally Invasive Glaucoma Surgeries (MIGS).
Legends for
Figure 3: The cumulative success probability of achieving postoperative IOP ≤15 mmHg at three years was significantly higher in the 360º canal-opening procedure (S-lot cohort) compared to the three sectorial canal-opening procedures (Kahook dual blade, Tanito micro hook and T hook) by P<0.001, log-rank test.
No statistically significant differences were found among the three sectorial canal-opening procedures (P=0.478, log rank test)
The success probability at three years for achieving IOP≤18 mmHg under medications was also significantly higher in the S-lot cohort (93.1±4.9%) compared to the KDB (73.9±7.8%), T hook (77.7±5.7%) and TMH (56.2±8.3%) cohorts (P=0.0052, log rank test). However, no significant differences were observed among the 3 sectorial COS procedures (P=0.121, log rank test).
Figure 4.
Kaplan-Meier Analysis: Probability of Achieving Postoperative IOP≤18 mmHg at 3 Years Under Medications Following Four Types of Canal-Opening Minimally Invasive Glaucoma Surgery (MIGS).
Figure 4.
Kaplan-Meier Analysis: Probability of Achieving Postoperative IOP≤18 mmHg at 3 Years Under Medications Following Four Types of Canal-Opening Minimally Invasive Glaucoma Surgery (MIGS).
Legends for
Figure 4: The cumulative success probability of achieving postoperative IOP≤18 mmHg at three years was again significantly higher in 360º canal-opening procedure (S-lot cohort) compared to the other three sectorial canal-opening procedures (Kahook dual blade, Tanito micro hook and T hook) by P=0.0052, log-rank test.
No significant differences in success probability were observed among the three sectorial canal-opening procedures (P=0.121, log rank test).
The success probability for achieving ≥20% IOP reduction at three years in KDB, S-lot, T hook and TMH were 59.2±7.7%, 78.4±7.7%, 56.3±10.0% and 45.1±8.1%, respectively. And the difference was marginally significant (P=0.0518 by log rank test).
There was no significant difference among the four COS procedures at 3 years in achieving an IOP≤21 mmHg at three years. The success probability in KDB, S-lot, T hook and TMH cohorts were 95.0±3.4%, 93.1±4.8%, 92.0±3.9% and 88.6±4.4%, respectively, (P =0.511, log rank test).
Postoperative intracameral bleeding
When post-surgical intracameral bleeding was compared among the 4 cohorts,
L1 layer bleeding was observed in 36.8% of patients who underwent S-lot, which was the highest incidence among the four COS cohort (P= 0.001, Haberman residual analysis).
Table 4.
Difference in Incidence of Intracameral Layer Bleeding Among Four COS Cohorts.
Table 4.
Difference in Incidence of Intracameral Layer Bleeding Among Four COS Cohorts.
Table 5.
Prevalence of Intracameral Blood Coagula Formation in Each COS Cohort.
Table 5.
Prevalence of Intracameral Blood Coagula Formation in Each COS Cohort.
Table 6.
Density of intracameral bleeding the next day after surgery.
Table 6.
Density of intracameral bleeding the next day after surgery.
Blood coagula formation in the anterior chamber was observed in 19.8% of cases in T hook cohort, which was significantly lower than in the other three COS cohorts (P<0.001). In contrast, coagula were observed in 49.1% of cases in the TMH cohort, representing the highest prevalence among the four groups(P=0.004).
R0 (no floating red blood cell on the first postoperative day) was observed in 27.9% of patients who underwent the T hook procedure, significantly more frequent than in the other cohorts (P<0.001). In contrast, the R0 was rare in TMH (P=0.004) and S-lot (P=0.009) cohorts. R2 (iris pattern not clearly visible due to floating red blood cells) was noted in 39.5% of S-lot cases, which was significantly higher than in other cohorts. While it was observed in only 15.1% of T hook cases, which was significantly lower than others (P=0.013).
The average time required for resolution of intracameral bleeding was shorter in the S-lot cohort at 3.1±2.4 days, significantly faster than that in the KDB cohort, which required 9.1±6.0 days (P=0.006, Tukey’s multiple comparison test).
The resolution time for the T hook and TMH cohort were 6.4±8.1 days and 6.3±6.8 days, respectively. Difference among the KDB, T hook and TMH groups were not statistically significant (P=0.43 -1.00, multiple comparison test).
Postoperative IOP spike
A postoperative spike was defined as an elevation of ≥5mmHg above the mean of 3 consecutive preoperative IOP measurements occurring within two weeks after surgery. The T hook cohort had the lowest spike rate at 36.0%, which was significantly less than in the other three COS groups (P<0.001; Haberman residual analysis,
Table 7). In contrast, the TMH cohort had the highest spike rate at 66.7%, significantly more frequent than in other cohorts (P=0.004,
Table 7)
Table 7.
Prevalence of postoperative IOP spike in each COS cohort.
Table 7.
Prevalence of postoperative IOP spike in each COS cohort.