Glaucoma Prevalence and Glaucoma Surgical Considerations in Prosthetic Replacement of the Ocular Surface Ecosystem Device Use.

OBJECTIVES: The purpose of this study was to identify patients with glaucoma and corneal/ocular surface disease who have been fit with Prosthetic Replacement of the Ocular Surface Ecosystem (PROSE; BostonSight, Needham, MA) devices and to understand the PROSE device fit experience in patients with glaucoma at Weill Cornell Medicine (WCM). METHODS: This is a retrospective chart review of patients older than 18 years who underwent PROSE device fitting at WCM. Records were reviewed for demographic information and ophthalmic variables. Descriptive statistics were performed. RESULTS: Between 2011 and 2017, 281 patients underwent PROSE device fitting at WCM, of whom 24 patients (8.5%) had a glaucoma diagnosis and 17 patients (6.0%) were identified as glaucoma suspect. Ocular surface disease was the most common indication for PROSE device wear (58.3%). Five patients had a history of incisional glaucoma surgery in the eye undergoing PROSE device fitting: three valved glaucoma drainage implants and two trabeculectomies. Three of these eyes were successfully fit with PROSE devices. CONCLUSIONS: Patients fitted with Prosthetic Replacement of the Ocular Surface Ecosystem devices at WCM had a higher prevalence of glaucoma than in the general population. Among patients with incisional glaucoma surgery, PROSE device fitting was challenging, with a 40% failure rate.

Life-course BMI and biomarkers in persons aged 60 years or older: a comparison of the USA and Costa Rica.

OBJECTIVE: There is a large literature linking current BMI to levels of cardiovascular risk biomarkers, but it is unknown whether measures of BMI earlier in the life course and maximum BMI are predictive of current levels of biomarkers. The objective of the current study was to determine how current, maximum and age-25 BMI among individuals over the age of 60 years are associated with their current levels of cardiovascular risk biomarkers. DESIGN: Cross-sectional study with retrospective recall. SETTING: Costa Rica (n 821) and the USA (n 4110). SUBJECTS: Nationally representative samples of adults aged 60 years or over. RESULTS: We used regression models to examine the relationship between multiple meaures of BMI with four established cardiovascular risk biomarkers. The most consistent predictor of current levels of systolic blood pressure, TAG and HDL-cholesterol was current BMI. However, maximum BMI was the strongest predictor of glycosylated Hb (HbA1c) and was also related to HDL-cholesterol and TAG. HbA1c was independent of current BMI. We found that these relationships are consistent between Costa Rica and the USA for HbA1c and for HDL-cholesterol. CONCLUSIONS: Current levels of cardiovascular risk biomarkers are not only the product of current levels of BMI, but also of maximum lifetime BMI, particularly for levels of HbA1c and for HDL-cholesterol. Managing maximum obtained BMI over the life course may be most critical for maintaining the healthiest levels of cardiovascular risk.