Abstract
To identify the factors associated with the surgical outcomes of Baerveldt glaucoma implant (BGI) for open-angle glaucoma (OAG), the medical records of 51 consecutive OAG patients (age, 43–91 years) who underwent BGI were retrospectively reviewed (median follow-up, 21.7 months). Surgical success was defined as the following postoperative intraocular pressures (IOPs, mmHg): (A) 6 ≤ IOP ≤ 21; (B) 6 ≤ IOP ≤ 18; and (C) 6 ≤ IOP ≤ 15 without loss of light perception or additional glaucoma surgery. Univariate analysis showed that age (all criteria), glaucoma type (criterion C), and preoperative IOP (criteria A and B) were the candidate factors (P < 0.20). When the patients were divided into two groups according to median age (72 years), the success probability was higher in the older group for criteria B (P = 0.047) and C (P = 0.02), and the postoperative IOP was lower in the older group 1-year post-surgery (P = 0.002). Furthermore, the multivariate Cox proportional hazards model revealed that older age was independently associated with surgical success for criteria B (relative risk [RR], 0.94; P = 0.02) and C (RR, 0.94; P = 0.01). In conclusion, older age is a factor associated with the surgical success of BGI for OAG.
Highlights
To identify the factors associated with the surgical outcomes of Baerveldt glaucoma implant (BGI) for open-angle glaucoma (OAG), the medical records of 51 consecutive OAG patients who underwent BGI were retrospectively reviewed
This study aims to investigate the factors associated with the surgical outcomes of BGI for OAG using the Kaplan–Meier survival curve and Cox proportional hazards model analysis
This study aims to reveal the factors associated with the surgical outcomes of BGI for OAG
Summary
To identify the factors associated with the surgical outcomes of Baerveldt glaucoma implant (BGI) for open-angle glaucoma (OAG), the medical records of 51 consecutive OAG patients (age, 43–91 years) who underwent BGI were retrospectively reviewed (median follow-up, 21.7 months). OAG significantly contributes to this rapid rise because life expectancy is globally increasing which is brought about by medical advances[5]. In this situation, it is necessary to improve the surgical strategies for OAG by identifying the factors associated with the surgical outcomes. This study aims to investigate the factors associated with the surgical outcomes of BGI for OAG using the Kaplan–Meier survival curve and Cox proportional hazards model analysis. The results in this study would facilitate the improvement of the surgical strategies for OAG in an aging society
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