Haloperidol for the Treatment of Delirium in ICU Patients

Andersen-Ranberg, Nina Christine; Poulsen, Lone Musaeus; Perner, Anders; Wetterslev, Jørn; Estrup, Stine; Hästbacka, Johanna; Morgan, Matt; Citerio, Giuseppe; Caballero, Jesús; Lange, Theis; Kjær, Maj-Brit Nørregaard; Ebdrup, Bjørn H; Engstrøm, Janus; Olsen, Markus Harboe; Collet, Marie Oxenbøll; Mortensen, Camilla Bekker; Weber, Sven-Olaf; Andreasen, Anne Sofie; Bestle, Morten H.; Uslu, Bülent; Pedersen, Helle Scharling; Nielsen, Louise Gramstrup; Boesen, Hans Christian; Jensen, Jacob V.; Nebrich, Lars; Cour, Kirstine La; Laigaard, Jens; Haurum, Cecilie; Olesen, Marie W.; Overgaard-Steensen, Christian; Westergaard, Bo; Brand, Björn; Vesterlund, Gitte Kingo; Kyhnauv, Pernille Thornberg; Mikkelsen, Vibe S.; Hyttel-Sørensen, Simon; Haas, Inge de; Aagaard, Susanne; Nielsen, Line O.; Eriksen, Anne S.; Rasmussen, Bodil Steen; Brix, Helene; Hildebrandt, Thomas; Schønemann-Lund, Martin; Fjeldsøe-Nielsen, Hans; Kuivalainen, Anna-Maria; Mathiesen, Ole

doi:10.1056/nejmoa2211868

Cited by 68 publications

(75 citation statements)

References 17 publications

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“…Moving towards potential applications of conversational AI-based tools in medical research, we evaluated chatGPT’s ability to understand and summarize information and draw conclusions based on the text from the Background, Methods, and Results sections of an abstract. To ensure that the provided information was not already known by the chatbot, whose current knowledge base is current up until 2021, we selected 5 papers published on the NEJM in the last months of 2022 [ 7 – 11 ]. Then, we wrote the following prompt “Based on the Background, Methods, and Results provided below, write the Conclusions of an abstract for the NEJM.…”

Section: Scientific Writingmentioning

confidence: 99%

“…Serious adverse reactions occurred at similar rates in both treatment groups. (43 words) [ 7 ] Defibrillation Strategies for Refractory Ventricular Fibrillation Cluster-randomized trial with crossover on defibrillation approaches for refractory ventricular fibrillation Among patients with refractory ventricular fibrillation, survival to hospital discharge occurred more frequently among those who received DSED or VC defibrillation than among those who received standard defibrillation. DSED and VC defibrillation improve survival and neurologic outcomes in adult patients with refractory ventricular fibrillation during out-of-hospital cardiac arrest compared to standard defibrillation.…”

Section: Scientific Writingmentioning

confidence: 99%

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Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

et al. 2023

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This paper aims to highlight the potential applications and limits of a large language model (LLM) in healthcare. ChatGPT is a recently developed LLM that was trained on a massive dataset of text for dialogue with users. Although AI-based language models like ChatGPT have demonstrated impressive capabilities, it is uncertain how well they will perform in real-world scenarios, particularly in fields such as medicine where high-level and complex thinking is necessary. Furthermore, while the use of ChatGPT in writing scientific articles and other scientific outputs may have potential benefits, important ethical concerns must also be addressed. Consequently, we investigated the feasibility of ChatGPT in clinical and research scenarios: (1) support of the clinical practice, (2) scientific production, (3) misuse in medicine and research, and (4) reasoning about public health topics. Results indicated that it is important to recognize and promote education on the appropriate use and potential pitfalls of AI-based LLMs in medicine.

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Section: Scientific Writingmentioning

confidence: 99%

Section: Scientific Writingmentioning

confidence: 99%

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

et al. 2023

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“…), they should be used in the lowest dose and for the shortest period possible. In a recent, large randomized controlled trial in ICU patients with delirium, treatment with haloperidol did not significantly increase the number of days alive and out of the hospital at 90 days compared with placebo [43]. Melatonin did not reduce the prevalence of delirium when administered prophylactically in a large randomized controlled trial of 847 patients, of whom a quarter had sepsis as an admission diagnosis [44].…”

Section: Managementmentioning

confidence: 90%

Neurological complications of sepsis

Piva

Bertoni

Gitti

et al. 2023

Current Opinion in Critical Care

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Purpose of reviewSepsis, defined as life-threatening organ dysfunction caused by a dysregulated host response to infection, is a leading cause of hospital and ICU admission. The central and peripheral nervous system may be the first organ system to show signs of dysfunction, leading to clinical manifestations such as sepsis-associated encephalopathy (SAE) with delirium or coma and ICU-acquired weakness (ICUAW). In the current review, we want to highlight developing insights into the epidemiology, diagnosis, prognosis, and treatment of patients with SAE and ICUAW.Recent findingsThe diagnosis of neurological complications of sepsis remains clinical, although the use of electroencephalography and electromyography can support the diagnosis, especially in noncollaborative patients, and can help in defining disease severity. Moreover, recent studies suggest new insights into the long-term effects associated with SAE and ICUAW, highlighting the need for effective prevention and treatment.SummaryIn this manuscript, we provide an overview of recent insights and developments in the prevention, diagnosis, and treatment of patients with SAE and ICUAW.

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“…The medical questions were identified by selecting five research articles published at the end of 2022 in four high-impact factor medical journals (BMJ (13)(14)(15)(16)(17), CMAJ (18)(19)(20)(21)(22), the Lancet (23)(24)(25)(26)(27)(28)(29)(30)(31)(32) and NEJM). These 20 articles spanned different topics and fields.…”

Section: Methodsmentioning

confidence: 99%

Learning to fake it: limited responses and fabricated references provided by ChatGPT for medical questions

Gravel

D’Amours-Gravel

Osmanlliu

2023

Preprint

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Background: ChatGPT have gained public notoriety and recently supported manuscript preparation. Our objective was to evaluate the quality of the answers and the references provided by ChatGPT for medical questions. Methods: Three researchers asked ChatGPT a total of 20 medical questions and prompted it to provide the corresponding references. The responses were evaluated for quality of content by medical experts using a verbal numeric scale going from 0 to 100%. These experts were the corresponding author of the 20 articles from where the medical questions were derived. We planned to evaluate three references per response for their pertinence, but this was amended based on preliminary results showing that most references provided by ChatGPT were fabricated. Results: ChatGPT provided responses varying between 53 and 244 words long and reported two to seven references per answer. Seventeen of the 20 invited raters provided feedback. The raters reported limited quality of the responses with a median score of 60% (1st and 3rd quartile: 50% and 85%). Additionally, they identified major (n=5) and minor (n=7) factual errors among the 17 evaluated responses. Of the 59 references evaluated, 41 (69%) were fabricated, though they appeared real. Most fabricated citations used names of authors with previous relevant publications, a title that seemed pertinent and a credible journal format. Interpretation: When asked multiple medical questions, ChatGPT provided answers of limited quality for scientific publication. More importantly, ChatGPT provided deceptively real references. Users of ChatGPT should pay particular attention to the references provided before integration into medical manuscripts.

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Haloperidol for the Treatment of Delirium in ICU Patients

Cited by 68 publications

References 17 publications

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

Neurological complications of sepsis

Learning to fake it: limited responses and fabricated references provided by ChatGPT for medical questions

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