Pinguecula with spheroidal degeneration: clinicopathologic correlation.

Clinicopathologic correlation of a pinguecula with spheroidal degeneration: a benign entity occasionally encountered in clinical practice.

Preoperative Medical Testing and Falls in Medicare Beneficiaries Awaiting Cataract Surgery.

PURPOSE: Delaying cataract surgery is associated with an increased risk of falls, but whether routine preoperative testing delays cataract surgery long enough to cause clinical harm is unknown. We sought to determine whether the use of routine preoperative testing leads to harm in the form of delayed surgery and falls in Medicare beneficiaries awaiting cataract surgery. DESIGN: Retrospective, observational cohort study using 2006-2014 Medicare claims. PARTICIPANTS: Medicare beneficiaries 66+ years of age with a Current Procedural Terminology claim for ocular biometry. METHODS: We measured the mean and median number of days between biometry and cataract surgery, calculated the proportion of patients waiting ≥ 30 days or ≥ 90 days for surgery, and determined the odds of sustaining a fall within 90 days of biometry among patients of high-testing physicians (testing performed in ≥ 75% of their patients) compared with patients of low-testing physicians. We also estimated the number of days of delay attributable to high-testing physicians. MAIN OUTCOME MEASURES: Incidence of falls occurring between biometry and surgery, odds of falling within 90 days of biometry, and estimated delay associated with physician testing behavior. RESULTS: Of 248 345 beneficiaries, 16.4% were patients of high-testing physicians. More patients of high-testing physicians waited ≥ 30 days and ≥ 90 days to undergo surgery (31.4% and 8.2% vs. 25.0% and 5.5%, respectively; P < 0.0001 for both). Falls before surgery in patients of high-testing physicians increased by 43% within the 90 days after ocular biometry (1.0% vs. 0.7%; P < 0.0001). The adjusted odds ratio of falling within 90 days of biometry in patients of high-testing physicians versus low-testing physicians was 1.10 (95% confidence interval [CI], 1.03-1.19; P = 0.008). After adjusting for surgical wait time, the odds ratio decreased to 1.07 (95% CI, 1.00-1.15; P = 0.06). The delay associated with having a high-testing physician was approximately 8 days (estimate, 7.97 days; 95% CI, 6.40-9.55 days; P < 0.0001). Other factors associated with delayed surgery included patient race (non-White), Northeast region, ophthalmologist ≤ 40 years of age, and low surgical volume. CONCLUSIONS: Overuse of routine preoperative medical testing by high-testing physicians is associated with delayed surgery and increased falls in cataract patients awaiting surgery.

A Revised Estimate of Costs Associated With Routine Preoperative Testing in Medicare Cataract Patients With a Procedure-Specific Indicator.

Importance: Routine preoperative medical testing is not recommended for patients undergoing low-risk surgery, but testing is common before surgery. A 30-day preoperative testing window is conventionally used for study purposes; however, the extent of routine testing that occurs prior to that point is unknown. Objective: To improve on existing cost estimates by identifying all routine preoperative testing that takes place after the decision is made to perform cataract surgery. Design, Setting, and Participants: This cross-sectional study assessed preoperative care in a 50% sample of Medicare beneficiaries older than 66 years who underwent ambulatory cataract surgery in 2011. Data analysis was completed from March 2016 to October 2017. Main Outcomes and Measures: Using ocular biometry as a procedure-specific indicator to mark the start of the routine preoperative testing window, we measured testing rates in the interval between ocular biometry and cataract surgery and compared this with testing rates in the 6 months preceding biometry. We estimated the total cost of testing that occurred between biometry and cataract surgery. Results: A total of 440 857 patients underwent cataract surgery. A total of 423 710 (96.1%) had an ocular biometry claim before index surgery, of whom 264 514 (60.0%) were female; the mean (SD) age of the cohort was 76.1 (6.2) years. A total of 111 998 (25.4%) underwent surgery more than 30 days after biometry. Among patients with a biometry claim, the mean number of tests/patient/month increased from 1.1 in the baseline period to 1.7 in the interval between biometry and cataract surgery. Although preoperative testing peaked in all patients in the 30 days preceding surgery (1.8 tests/patient/month), the subset of patients with no overlap between postbiometry and presurgery periods experienced increased testing rates to 1.8 tests per patient per month in the 30 days after biometry, regardless of the elapsed time between biometry and surgery. The total estimated cost of routine preoperative testing in the full cohort was $22.7 million; we estimate that routine preoperative testing costs Medicare up to $45.4 million annually. Conclusions and Relevance: In this study of Medicare beneficiaries, routine preoperative medical testing occurs more often and is costlier than has been reported previously. Extra costs are attributable to testing that occurs prior to the 30-day window preceding surgery. As a cost-cutting measure, routine preoperative medical testing should be avoided in patients with cataracts throughout the interval between ocular biometry and cataract surgery.

Primary implantation of type I Boston keratoprosthesis in nonautoimmune corneal diseases.

PURPOSE: The aim of this study was to report outcomes of type I Boston keratoprosthesis (KPro) as primary corneal surgery in nonautoimmune corneal disorders. METHODS: In this retrospective, observational, large single-center case series of 43 eyes (37 patients) that were followed for an average of 39 months (1-6 years), primary implantation of the type I Boston KPro was performed in all patients. Visual acuity at year 1, visual acuity at last follow-up, and postoperative complication rates were examined for all eyes. RESULTS: Preoperative best-corrected visual acuity ranged from 20/60 to light perception, with vision of 20/200 or worse in 88%. Vision was ≥20/200 at 1 year in 77% of eyes (P < 0.0001). Complications included retroprosthetic membrane formation (51%), glaucoma progression (47%), corneal melt (19%), and sterile vitritis (14%). CONCLUSIONS: In a large series with long follow-up, primary Boston KPro effectively restored vision. Close follow-up is needed to manage the known complications after Boston KPro.

The genetics of keratoconus.

Keratoconus is a bilateral, non-inflammatory corneal ectasia characterized by progressive conical thinning and protrusion of the cornea. Its etiology has long been believed to be multifactorial, with environmental, behavioral, and genetic factors all contributing to the disease process. This review focuses specifically on examining the evidence that supports a genetic basis for keratoconus.

Ocular involvement in hospitalized patients with candidemia: analysis at a Boston tertiary care center.

PURPOSE: To study the prevalence, microbial profile, and risk factors for ocular involvement in patients with candidemia. METHODS: The records of all inpatient consultations requested at the Brigham and Women's Hospital from October 2009 to June 2011 to evaluate for ocular involvement in patients with candidemia were retrospectively reviewed. RESULTS: Forty-nine consults were requested to rule out ocular involvement in patients with candidemia. The mean patient age was 55 years. In decreasing frequency, the organisms isolated were Candida albicans (42%), Candida parapsilosis (23%), Candida glabrata (17%), Candida tropicalis (8%), Candida dublinensis (5%), Candida krusei (3%), and Candida lusitaniae (3%). All patients were on antifungal treatment at the time of their initial ophthalmologic examination. One patient had evidence of chorioretinitis, and 3 patients had nonspecific fundus findings. Common risk factors included presence of an intravenous catheter, malignancy, and abdominal surgery. CONCLUSIONS: Ocular involvement is rare among patients with systemic Candida infection.