ABSTRACT
PURPOSE OF REVIEW: To review the structure, mechanism of action, and pathophysiology of antibody-drug conjugates (ADCs) used to treat gynecological malignancies associated with ocular adverse effects. RECENT FINDINGS: Recent research shows tisotumab vedotin causes ocular toxicity localized to the conjunctiva, with common adverse effects being conjunctivitis, dry eye, blepharitis, and keratitis. Toxicity is likely due to targeting tissue factor (TF) in the conjunctiva, leading to direct delivery of the cytotoxic payload resulting in apoptosis and bystander killing. Mirvetuximab soravtansine causes blurred vision, keratitis, or dry eye with toxicity often localized in the cornea. Off-target inflammation appears to cause ocular adverse effects, with nonreceptor mediated macropinocytosis by corneal stem cells. SUMMARY: Collaboration between oncologists and ophthalmologists with adherence to mitigation protocols can decrease the risk of ocular adverse events.
ABSTRACT
BACKGROUND: Cases of uveitis can necessitate long-term treatment resulting in recurrent follow-up appointments. Analysing the demographic distribution and patient factors influencing treatment and time spent with physicians in this population compared to other subspecialties of ophthalmology using the National Ambulatory Medical Care Survey (NAMCS) has not previously been studied. METHODS: Data were extracted from the NAMCS database, a large, nationally representative survey of office-based specialists, entered between 2012-2016 and 2018. Demographics, time with physician, and payor types were compared between patients with a uveitis-related diagnosis codes versus all other ophthalmic subspecialty diagnoses. RESULTS: Overall, 12,870 ophthalmic patients were included of which 300 had uveitis-related diagnosis codes. Uveitis patients were more likely to be non-Caucasian (p < 0.0001 to p = 0.022), visiting the physician's office due to flare of or treatment for a chronic medical problem (p < 0.0001 to p = 0.022). Adjusted for age, sex, race, and ethnicity, uveitis patients spent a significantly longer time (mean 27.5 min) compared to comprehensive ophthalmology patients (mean 25.5 min) with their physician (p = 0.0041). Among the uveitis patient population, African American patients (p = 0.0053), Hispanic or Latino (p = 0.034), and Medicaid (p = 0.035) patients had increased office visit times. CONCLUSIONS: Those with uveitis spent more time with the physician than comprehensive patients. Race, ethnicity, payor type, and the major reason for the visit all significantly impacted uveitis office visit times. In order to manage their schedules, providers should be aware of the additional support and time needed by these patients during office visits.
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PURPOSE: To assess the accuracy and completeness of ChatGPT-generated answers regarding uveitis description, prevention, treatment, and prognosis. METHODS: Thirty-two uveitis-related questions were generated by a uveitis specialist and inputted into ChatGPT 3.5. Answers were compiled into a survey and were reviewed by five uveitis specialists using standardized Likert scales of accuracy and completeness. RESULTS: In total, the median accuracy score for all the uveitis questions (n = 32) was 4.00 (between "more correct than incorrect" and "nearly all correct"), and the median completeness score was 2.00 ("adequate, addresses all aspects of the question and provides the minimum amount of information required to be considered complete"). The interrater variability assessment had a total kappa value of 0.0278 for accuracy and 0.0847 for completeness. CONCLUSION: ChatGPT can provide relatively high accuracy responses for various questions related to uveitis; however, the answers it provides are incomplete, with some inaccuracies. Its utility in providing medical information requires further validation and development prior to serving as a source of uveitis information for patients.
