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1.
HIV Med ; 2024 May 09.
Artículo en Inglés | MEDLINE | ID: mdl-38725328

RESUMEN

BACKGROUND: People living with HIV are disproportionately represented among people with severe mpox. Mild and self-limiting conjunctival involvement has been well-documented, and severe ocular complications, including keratitis, corneal scarring, and the associated loss of vision, are increasingly recognized. Tecovirimat is the first-line antiviral therapy for severe mpox, but data around the efficacy of systemic antiviral agents for mpox are limited, particularly in cases of ocular mpox. CASE REPORT: Here, we describe a case of sight-threatening necrotic blepharokeratoconjunctivitis in a person with advanced HIV, requiring an extended course of tecovirimat due to persistent mpox viral shedding for nearly 5 months.

3.
Eye (Lond) ; 2024 Jul 13.
Artículo en Inglés | MEDLINE | ID: mdl-39003430

RESUMEN

PURPOSE: This study aimed to evaluate the accuracy of information that patients can obtain from large language models (LLMs) when seeking answers to common questions about choroidal melanoma. METHODS: Comparative study comparing frequently asked questions from choroidal melanoma patients and queried three major LLMs-ChatGPT 3.5, Bing AI, and DocsGPT. Answers were reviewed by three ocular oncology experts and scored as accurate, partially accurate, or inaccurate. Statistical analysis compared the quality of responses across models. RESULTS: For medical advice questions, ChatGPT gave 92% accurate responses compared to 58% for Bing AI and DocsGPT. For pre/post-op questions, ChatGPT and Bing AI were 86% accurate while DocsGPT was 73% accurate. There were no statistically significant differences between models. ChatGPT responses were the longest while Bing AI responses were the shortest, but length did not affect accuracy. All LLMs appropriately directed patients to seek medical advice from professionals. CONCLUSION: LLMs show promising capability to address common choroidal melanoma patient questions at generally acceptable accuracy levels. However, inconsistent, and inaccurate responses do occur, highlighting the need for improved fine-tuning and oversight before integration into clinical practice.

5.
Clin Toxicol (Phila) ; 56(8): 782-789, 2018 08.
Artículo en Inglés | MEDLINE | ID: mdl-29334809

RESUMEN

INTRODUCTION: Pharmacological poisonings in young children are avoidable. Previous studies report calls to poisons centres, presentations to emergency departments (ED) or hospital admissions. There are limited data assessing concurrent management of poisonings across all three settings. We aimed to describe accidental pharmacological poisonings in young children across our Poisons Information Centre (PIC), EDs and hospitals. METHODS: A population-based study in New South Wales, Australia, of PIC calls, ED presentations and hospital admissions for accidental pharmacological poisoning in children aged <5 years, 2007-2013. We examined trends, medicines responsible and subsequent management. Medicines were coded using ICD10-AM diagnosis codes (T36-50). RESULTS: Over 2007-2013, pharmacological poisonings accounted for 67,816 PIC calls, 7739 ED presentations and 2082 admissions. Rates (per 10,000 children) of PIC calls declined from 220 to 178; ED presentations were stable (∼22-24), with a decrease in emergency cases offset by an increase in semi- or non-urgent presentations; hospital admissions declined (8-5). Most PIC calls related to "non-opioid analgesics" (25%), and "topical agents" (18%). Nearly every day, one child aged <5 years was admitted to hospital for poisoning. "Benzodiazepines", "other and unspecified antidepressants", "uncategorised antihypertensives", and "4-aminophenol derivatives" accounted for over one-third of all admissions. Most PIC calls (90%) were advised to stay home, 6% referred to hospital. One-quarter of ED presentations resulted in admission. CONCLUSIONS: Poisonings reported to PIC and hospitals declined, however, non-urgent ED presentations increased. Strategies to reduce therapeutic errors and access to medicines, and education campaigns to improve Poisons Centre call rates to prevent unnecessary ED presentations are needed.


Asunto(s)
Servicio de Urgencia en Hospital/estadística & datos numéricos , Hospitalización/estadística & datos numéricos , Centros de Control de Intoxicaciones/estadística & datos numéricos , Medicamentos bajo Prescripción/envenenamiento , Preescolar , Femenino , Humanos , Lactante , Masculino , Nueva Gales del Sur , Preparaciones Farmacéuticas , Vigilancia de la Población , Estudios Retrospectivos
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