Manishi Desai

Ptosis after glaucoma surgery

Purpose Evaluate factors contributing to ptosis after glaucoma surgery. Methods Three-year retrospective chart review from January 1, 2012, to January 1, 2015, 157 eyes, 3 surgeons, at Boston Medical Center, to determine the incidence of ptosis and the effects of each variable contributing to ptosis at 3 months after surgery. Each variable was analyzed using the chi-square or independent samples t-test analysis to determine statistical significance of ptosis compared with above variables. Results The t-test or chi-square analysis showed that gender, steroid duration, use of mitomycin C, duration of surgery, and prior surgeries were not statistically significant factors for ptosis. There was a statistically significant association between those <70 years of age and ptosis (P<0.05), non-combined surgery and ptosis (P<0.05), shunting surgery and ptosis (P<0.05). Conclusion Ptotic changes occurred more often in those who have shunting (Ahmed and Baerveldt) surgeries compared with filtering (trabeculectomy and Express) surgeries.

electronic medical record and glaucoma medications: connecting the medication reconciliation with adherence

Purpose To evaluate consistency in documentation of glaucoma medications in the electronic medical record and identify which regimen patients adhere to when inconsistencies exist. Factors contributing to medication nonadherence are also explored. Methods Retrospective chart review of medication adherence encompassing 200 patients from three glaucoma physicians at a tertiary referral center over a 1-month period. Adherence was determined by the consistency between a patients stated medication regimen and either the active medication list in the electronic medical record, or the physicians planned medication regimen in the preceding clinic visit. Patient charts were also reviewed for patient sex, age, primary language, race, and total number of medications. Results A total of 160 charts showed consistency in documentation between the physician note and electronic medication reconciliation. Of those patients, 83.1% reported adherence with their glaucoma medication schedule. When there was a discrepancy in documentation (40 charts), 72.5% patients followed the physician-stated regimen vs 20% who followed neither vs 7.5% who followed the medical record (P<0.01). No difference in adherence was observed based on sex (P=0.912) or total number of medications taken (P=0.242). Language, both English- (P=0.075) and Haitian (P=0.10) -speaking populations, as well as race, Caucasian (P=0.31), African-American (P=0.54), and Hispanic (P=0.58), had no impact on medication adherence. Patients over 80 years of age were more nonadherent as compared to other decades (P=0.04). Conclusion Inconsistent documentation between the electronic medical record physician note and medication regimen may contribute to patient medication nonadherence. Patients over 80 years of age were associated with higher rates of nonadherence, while sex, total number of medications, race, and language had no interaction with medication adherence.

Risk factors for early onset elevated intraocular pressure after pterygium surgery

Purpose In this study, we aimed to identify the risk factors for early postoperative elevation of intraocular pressure (IOP) after pterygium surgery. Patients and methods All patients in this retrospective cohort study were evaluated for inclusion from a single tertiary care center at Boston Medical Center. Their pre- and postoperative IOP measurements (day 1, week 1, month 1, month 3, and when clinically necessary) were compared. Patients with postoperative IOP measurement of >22 mmHg or with an increase in IOP by ≥10 mmHg compared with the preoperative measurement value were grouped as “Ocular Hypertension” group; otherwise, patients were grouped in the “No Ocular Hypertension” group. Age, sex, race, baseline IOP, cup-to-disc (C/D) ratio, history of glaucoma, and frequency of use of postoperative steroid drops in all patients were compared. Chi square test was performed to compare the categorical variables, whereas Student’s t-test was performed to compare continuous variables. We performed a multivariate logistic regression analysis of categorical data with a significance level of p < 0.05. Results In total, 240 patient charts were reviewed for inclusion in this study. Twenty-six patients required pterygium surgery on both eyes; for these patients, the eye with higher IOP was analyzed. Two patients were discontinued from this study because of elevated IOP in the contralateral, nonsurgical eye. Fortyeight out of 212 eyes (22.64%) developed postsurgical elevation of IOP within the first 3 months of operation. No significant differences were found between age, sex, baseline IOP, C/D ratio, history of glaucoma diagnoses, and frequency of use of postoperative steroid drops. However, Hispanic/Latino race (p = 0.036) and lack of application of steroid ointment (p = 0.001) were found to be the significant risk factors for the development of “Ocular Hypertension” in multivariate analysis. Conclusion Early elevation of IOP is a risk of pterygium surgery. One nonmodifiable risk factor, Hispanic/Latino race, and one modifiable risk factor, lack of application of steroid ointments, were identified as potential causes of early postoperative IOP elevation.