| Literature DB >> 35862476 |
Mukesh Jain1, Raja Narayanan1,2, Priya Jana3,4, Ashik Mohamed4, Rajiv Raman5, Pavan Verkicharla4,6, Srikanta Kumar Padhy1, Anthony Vipin Das2,7, Jay Chhablani8.
Abstract
OBJECTIVES: To evaluate incidence, predictors, and re-treatment outcome of recurrent myopic choroidal neovascularization (m-CNV).Entities:
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Year: 2022 PMID: 35862476 PMCID: PMC9302801 DOI: 10.1371/journal.pone.0271342
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Shows the Cox-proportional hazards regression analysis to determine the predictors of recurrence.
| Variable | Sub-group | p value | Hazard Ratio | 95% CI for HR | |
|---|---|---|---|---|---|
| 5% | 95% | ||||
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| 1 | |||
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| 0.218 | 1.522 | 0.80 | 2.96 | |
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| 1 | |||
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| 0.511 | 1.2 | 0.53 | 2.78 | |
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| .75 | 0.36 | 1.58 | ||
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| 1 | |||
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| 0.092 | 1.03 | 0.37 | 2.90 | |
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| 0.42 | 0.15 | 1.12 | ||
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| 1 | |||
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| 0.629 | 1.17 | 0.61 | 2.27 | |
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| 1 | |||
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| 0.519 | 0.71 | 0.32 | 1.58 | |
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| 0.79 | 0.45 | 2.43 | ||
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| 1 | |||
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Shows Kaplan Meier Survival table analysis overall, anti-VEGF, and number of injections groups.
| Time (months) | All eyes | Bevacizumab | Ranibizumab | |||
|---|---|---|---|---|---|---|
| Number at risk | Recurrence ± SE | Number at risk | Recurrence ± SE | Number at risk | Recurrence ± SE | |
| 3 | 165 | 1.8% ± 1.0% | 107 | 0.9% ± 0.9% | 58 | 3.4% ± 2.4% |
| 6 | 153 | 7.8% ± 2.1% | 99 | 7.5% ± 2.5% | 54 | 8.5% ± 3.6% |
| 12 | 67 | 25.9% ±4.1% | 36 | 29.1% ± 5.7% | 31 | 22.0% ± 6.0% |
| 18 | 39 | 33.6% ± 4.9% | 18 | 38.5% ± 7.1% | 21 | 28.1% ± 6.9% |
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| 3 | 50 | 3.9% ± 2.7% | 61 | 0.0% | 55 | 1.8% ± 1.8% |
| 6 | 47 | 7.9% ± 3.8% | 57 | 5.0% ± 2.8% | 49 | 10.9% ± 4.2% |
| 12 | 22 | 12.1% ± 5.5% | 23 | 15.0% ± 6.1% | 22 | 45.5% ± 7.5% |
| 18 | 15 | 12.1% ± 5.5% | 12 | 31.1% ± 9.7% | 13 | 53.3% ± 8.2% |
Fig 1(a) Shows the survival function curve for the number of injections, depicting a steady increase in recurrence rate with the number of injections. (b) Shows the survival function curve for the bevacizumab and ranibizumab, depicting no difference in the recurrence rate between the two groups.
Shows the baseline characteristics and visual outcomes in the overall, bevacizumab and ranibizumab group.
| Characteristics | Overall | Bevacizumab (N = 108 eyes) | Ranibizumab | P-value | |
|---|---|---|---|---|---|
| Age (years), mean ± SD | 47.95 ± 14.72 | 47.77 ± 14.10 | 48.27 ± 15.91 | 0.91 | |
| Males, n (%) | 85 (50.9%) | 56 (51.9%) | 29 (49.2%) | 0.86 | |
| Spherical equivalence (D), | 12.19 ± 4.93 | 12.02 ± 5.06 | 12.47 ± 4.71 | 0.49 | |
| Number of injections, (mean ± SD) | 2.33 ± 1.46 | 2.32 ± 1.52 | 2.34 ±1.35 | 0.62 | |
| Follow-up (months), (mean ± SD) | 16.55 ± 12.86 | 15.33 ± 12.98 | 18.76 ± 12.43 | 0.02 | |
| BCVA (LogMAR) | Pre-injection |
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| 0.02 |
| Post-Injection |
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| 0.007 | |
| Gain in BCVA | 0.17 ± 0.29 | 0.14 ± 0.26 | 0.22 ± 0.34 | 0.006 | |
| Final follow-up | 0.55 ± 0.37 | 0.61 ±0.35 | 0.44 ± 0.37 | 0.03 | |
SD: Standard Deviation; D: Dioptre; n = number; BCVA- Best Corrected Visual Acuity.
$: Paired t test is significant with p = 0.00
# chi-quare test
aadjusted for pre-injection BCVA (co-efficient: -0.11 ± 0.04)
badjusted for pre-injection BCVA (co-efficient: 0.12 ± 0.04)
cadjusted for pre-injection BCVA and follow-up duration (co-efficient: -0.12 ± 0.05).
Shows the multiple linear regression for post-injection BCVA as the dependent variable.
| Variable | Spearman correlation coefficient | P value | Multiple regression | |
|---|---|---|---|---|
| p-value | Co-efficient | |||
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| 0.17 | 0.03 | 0.09 | - |
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| -0.07 | 0.49 | 0.78 | - |
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| 0.76 | <0.0001 |
| 0.82 ± 0.06 |
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| -0.06 | 0.44 | 0.83 | - |
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| -0.24 | 0.002 | 0.38 | - |
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| -0.15 | 0.049 | 0.09 | - |
SE: Spherical equivalent; BCVA: Best correct visual acuity; Anti-VEGF: Anti-vascular endothelial growth factor; No.: Number.