Efficacy of Different Beta Blockers in Reducing Mortality in Heart-Failure Patients DOI Open Access

Salman Habib Roghani,

Dilshad Ahmed Khan, Ali Shafiq

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

This study evaluated the comparative efficacy of different beta blockers bisoprolol, carvedilol, and metoprolol in reducing mortality hospitalizations among 120 heart-failure (HF) patients. The sample had an equal gender distribution (50% male, 50% female) with a mean age 69.28 years. Baseline characteristics, such as systolic blood pressure (mean: 134.36 mmHg) left ventricular ejection fraction (LVEF) 40.24%), were comparable across treatment groups. Patients treated either bisoprolol (30%), carvedilol or (40%) for average 27.54 weeks. utilized Poisson negative binomial regression models to assess hospitalization rates, chi-square tests compare outcomes. Results revealed that was 44.2% entire cohort, no significant differences between three beta-blocker groups (p = 0.301). Similarly, observed 0.276) ICU admissions 0.797). However, patients on exhibited slight improvement New York Heart Association (NYHA) class LVEF, though this not statistically 0.145 p 0.477, respectively). Side effects, including bradycardia, fatigue, hypotension, noted 32.5%, 21.7%, 23.3% patients, respectively. These findings suggest all are similarly effective mortality, may offer better control HF symptoms.

Язык: Английский

Enhancing AI Chatbot Responses in Health Care: The SMART Prompt Structure in Head and Neck Surgery DOI Creative Commons
Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate

и другие.

OTO Open, Год журнала: 2025, Номер 9(1)

Опубликована: Янв. 1, 2025

Abstract Objective This study aims to evaluate the impact of prompt construction on quality artificial intelligence (AI) chatbot responses in context head and neck surgery. Study Design Observational evaluative study. Setting An international collaboration involving 16 researchers from 11 European centers specializing Methods A total 24 questions, divided into clinical scenarios, theoretical patient inquiries, were developed. These questions entered ChatGPT‐4o both with without use a structured format, known as SMART (Seeker, Mission, AI Role, Register, Targeted Question). The AI‐generated evaluated by experienced surgeons using Quality Analysis Medical Artificial Intelligence instrument (QAMAI), which assesses accuracy, clarity, relevance, completeness, source quality, usefulness. Results generated scored significantly higher across all QAMAI dimensions compared those contextualized prompts. Median scores for prompts 27.5 (interquartile range [IQR] 25‐29) versus (IQR 21.8‐25) unstructured ( P < .001). Clinical scenarios inquiries showed most significant improvements, while also benefited, but lesser extent. AI's improved notably prompt, particularly questions. Conclusion suggests that format enhances approach improves completeness information, underscoring importance well‐constructed applications. Further research is warranted explore applicability different medical specialties platforms.

Язык: Английский

Процитировано

0
Enhancing AI Chatbot Responses in Healthcare: The SMART Prompt Structure in Head and Neck Surgery DOI Creative Commons
Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Авг. 23, 2024

Abstract Objective. To evaluate the impact of prompt construction on quality AI chatbot responses in context head and neck surgery. Study design. Observational evaluative study. Setting. International collaboration involving 16 researchers from 11 European centers specializing Methods. A total 24 questions, divided into clinical scenarios, theoretical patient inquiries, were developed. These questions inputted ChatGPT-4o both with without use a structured format, known as SMART (Seeker, Mission, Role, Register, Targeted Question). The AI-generated evaluated by experienced surgeons using QAMAI instrument, which assesses accuracy, clarity, relevance, completeness, source quality, usefulness. Results. generated scored significantly higher across all dimensions compared to those contextualized prompts. Median scores for prompts 27.5 (IQR 25–29) versus 21.8–25) unstructured (p < 0.001). Clinical scenarios inquiries showed most significant improvements, while also benefited but lesser extent. AI's improved notably prompt, particularly questions. Conclusions. study suggests that format enhances This approach improves completeness information, underscoring importance well-constructed applications. Further research is warranted explore applicability different medical specialties platforms.

Язык: Английский

Процитировано

1
Generative artificial intelligence (GenAI) and decision-making: Legal & ethical hurdles for implementation in mental health DOI Creative Commons
Barry Solaiman

International Journal of Law and Psychiatry, Год журнала: 2024, Номер 97, С. 102028 - 102028

Опубликована: Окт. 19, 2024

Язык: Английский

Процитировано

1
Expanding the Reach of Mindfulness: A Mechanistic Approach and AI Applications DOI
Kean Sian Tan

Mindfulness, Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

Язык: Английский

Процитировано

1
Efficacy of Different Beta Blockers in Reducing Mortality in Heart-Failure Patients DOI Open Access

Salman Habib Roghani,

Dilshad Ahmed Khan, Ali Shafiq

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

This study evaluated the comparative efficacy of different beta blockers bisoprolol, carvedilol, and metoprolol in reducing mortality hospitalizations among 120 heart-failure (HF) patients. The sample had an equal gender distribution (50% male, 50% female) with a mean age 69.28 years. Baseline characteristics, such as systolic blood pressure (mean: 134.36 mmHg) left ventricular ejection fraction (LVEF) 40.24%), were comparable across treatment groups. Patients treated either bisoprolol (30%), carvedilol or (40%) for average 27.54 weeks. utilized Poisson negative binomial regression models to assess hospitalization rates, chi-square tests compare outcomes. Results revealed that was 44.2% entire cohort, no significant differences between three beta-blocker groups (p = 0.301). Similarly, observed 0.276) ICU admissions 0.797). However, patients on exhibited slight improvement New York Heart Association (NYHA) class LVEF, though this not statistically 0.145 p 0.477, respectively). Side effects, including bradycardia, fatigue, hypotension, noted 32.5%, 21.7%, 23.3% patients, respectively. These findings suggest all are similarly effective mortality, may offer better control HF symptoms.

Язык: Английский

Процитировано

0