Real-World Outcomes of Glaucoma Filtration Surgery using Electronic Health Records: An Informatics Study. Journal of glaucoma Sun, M. T., Singh, K., Wang, S. Y. 2022

Abstract

PRECIS: Utilising an automated pipeline for data extraction from electronic health records provides real-world information on the success of various glaucoma procedures, with tube shunt implantation associated with increased failure rates compared with trabeculectomy.BACKGROUND: We aimed to evaluate long-term survival of glaucoma surgeries using an automated pipeline for extraction of outcomes from electronic health records.METHODS: Retrospective observational study from a single academic center. Patients undergoing trabeculectomy, Ex-PRESS shunt, Baerveldt and Ahmed tube shunt insertion from 2009-2018 were identified from electronic health record procedure codes. Patient characteristics were identified from structured and unstructured fields using a previously validated natural language processing pipeline.RESULTS: 512 patients underwent 711 glaucoma surgeries: 287 trabeculectomies, 47 Ex-PRESS shunts, 274 Baerveldt and 103 Ahmed tube implantations. Median follow-up was 359 days. Mean baseline IOP was 24.4mmHg (SD 10.9) and 73.1% were on =3 medications. Compared to trabeculectomy, tube shunt surgery had higher risk of failure (Baerveldt: Hazard Ratio (HR) 1.44, 95% CI 1.02-2.02; Ahmed: HR 2.01, 95% CI 1.28-3.17). Previous glaucoma surgery was associated with increased failure (=2 previous surgeries: HR 2.74, 95% CI 1.62-4.64), as was fewer baseline medications (<3 medications: HR 2.96, 95% CI 2.12-4.13) and male sex (HR 1.40, 95% CI 1.03-1.90). At 1-year, tube shunt patients had a 2.53mmHg (P=0.002) higher IOP compared to trabeculectomy patients.CONCLUSIONS: Baerveldt and Ahmed tube shunt implantation was associated with increased failure compared with trabeculectomy. Fewer baseline medications, previous glaucoma surgeries, and male sex were also risk factors for failure. These results demonstrate the utility of applying an informatics pipeline to electronic health records to investigate key clinical questions using real-world evidence.

View details for DOI 10.1097/IJG.0000000000002122

View details for PubMedID 36223316