Publications by authors named "Amisha D Dave"

Purpose: The etiology of retinitis pigmentosa (RP)-associated cystoid macular edema (CME) has been related to retinal neuroinflammation and microglial activation. Minocycline, a drug FDA-approved for anti-microbial indications, also inhibits microglial activation and expression of inflammatory mediators. This study investigates the safety and efficacy of oral minocycline as primary treatment for RP-associated CME.

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Purpose: To investigate potential associations between renal function and age-related macular degeneration (AMD) features as assessed with multimodal retinal imaging.

Methods: A subset of participants included in a dark adaptation study with varying AMD severities had estimated glomerular filtration rate (eGFR) values (mL/min/1.73 m2) obtained from renal function laboratory testing of serum creatinine and cystatin C.

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Purpose: Patients are seeking answers to personal medical questions on social media. Reddit, a popular social media site, has been overlooked as a source of data in the field of ophthalmology. We analyzed posts in the subreddit, r/Ophthalmology, to better understand the most common ophthalmic conditions patients are discussing online and how often those making posts are being advised to seek professional medical care.

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Purpose: Oculofacial plastic surgeons (OPS) prescribe narcotic pain prescriptions at a rate four times higher than that of other ophthalmologists. We conducted a cross-sectional survey to understand trends in opioid prescriptions among oculofacial plastic surgeons after common oculoplastic surgeries.

Methods: This cross-sectional survey was sent to OPS in the USA between June 19, 2020 and December 1, 2020.

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Purpose: To perform longitudinal analysis of retinal arterial macroaneurysms in 3 patients with adult-onset Coats disease.

Observations: Three eyes of three patients with adult-onset Coats disease were followed longitudinally for 4-15 years. Ultra-widefield images and montage color fundus photographs of affected eyes were analyzed.

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Background: Pain costs more than $600 billion annually and affects more than 100 million Americans, but is still a poorly understood problem and one for which there is very often limited effective treatment. Electronic health records (EHRs) are the only databases with a high volume of granular pain information that allows for documentation of detailed clinical notes on a patient's subjective experience.

Objectives: This study applied natural language processing (NLP) technology to an EHR dataset as part of a pilot study to capture pain information from clinical notes and prove its feasibility as an efficient method.

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Background: Naturalistic driving studies, designed to objectively assess driving behavior and outcomes, are conducted by equipping vehicles with dedicated instrumentation (eg, accelerometers, gyroscopes, Global Positioning System, and cameras) that provide continuous recording of acceleration, location, videos, and still images for eventual retrieval and analyses. However, this research is limited by several factors: the cost of equipment installation; management and storage of the large amounts of data collected; and data reduction, coding, and analyses. Modern smartphone technology includes accelerometers built into phones, and the vast, global proliferation of smartphones could provide a possible low-cost alternative for assessing kinematic risky driving.

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