Purpose: A case of probable gabapentin-induced visual hallucinations in a patient with no psychiatric history is reported.
Summary: A 65-year-old white woman with no history of psychiatric conditions arrived at the pharmacy clinic with specific complaints of daytime sleepiness, fatigue, and visual hallucinations that started after coronary artery bypass graft surgery three years prior. After the surgery she began experiencing neuropathic pain in her chest, which was treated with gabapentin. Approximately one month later, she developed visual hallucinations that continued to occur at least two or three times per month. When first seen in the pharmacy clinic, the patient was taking gabapentin 300 mg orally four times daily plus 600 mg at bedtime, for a total daily dose of 1800 mg. Although gabapentin appears to have been prescribed as 600 mg three times daily, she had been taking it in five divided doses. One month later, she reported that she had self-reduced the gabapentin dosage to 300 mg once daily, after which she noticed improvement in her daytime sleepiness and fatigue and experienced one hallucination approximately one week after the dosage reduction. One month later, she completely discontinued gabapentin use, after which she experienced no further hallucinations. Assessment with the Naranjo et al. adverse drug reaction scale indicated a probable relationship between the patient's visual hallucinations and gabapentin use.
Conclusion: A 65-year-old woman with no psychiatric history developed visual hallucinations while taking gabapentin five times daily. Her hallucinations resolved after discontinuation of gabapentin and have remained absent after 1 year of follow-up.
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http://dx.doi.org/10.2146/ajhp150136 | DOI Listing |
NPJ Parkinsons Dis
January 2025
Norman Fixel Institute for Neurological Disease, University of Florida, Gainesville, FL, USA.
Non-motor symptoms (NMS) in Parkinson's disease (PD) significantly impact quality of life, especially in later stages. REM sleep behavior disorder (RBD) affects approximately 42% of all PD patients and frequently precedes motor PD symptoms. RBD is linked to increased rates of depression and cognitive decline.
View Article and Find Full Text PDFInteract J Med Res
January 2025
Medical Directorate, Lausanne University Hospital, Lausanne, Switzerland.
Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology, Division of Musculoskeletal Radiology, NYU Grossman School of Medicine, 660 1st Ave, 3rd Fl, Rm 313, New York, NY 10016 (S.S.W., J.V., R.K., E.H.P., J.F.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, University Hospital Tübingen, Tübingen, Germany (S.S.W.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V.); Department of Radiology, Hospital do Coraçao, São Paulo, Brazil (T.C.R.); Academic Surgical Unit, South West London Elective Orthopaedic Centre (SWLEOC), London, United Kingdom (D.D.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Department of Radiology, Jeonbuk National University Hospital, Jeonju, Republic of Korea (E.H.P.); Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea (E.H.P.); Medscanlagos Radiology, Cabo Frio, Brazil (A.S.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Siemens Healthineers AG, Erlangen, Germany (I.B.); and Siemens Medical Solutions USA, Malvern, Pa (G.K.).
Background Deep learning (DL) methods can improve accelerated MRI but require validation against an independent reference standard to ensure robustness and accuracy. Purpose To validate the diagnostic performance of twofold-simultaneous-multislice (SMSx2) twofold-parallel-imaging (PIx2)-accelerated DL superresolution MRI in the knee against conventional SMSx2-PIx2-accelerated MRI using arthroscopy as the reference standard. Materials and Methods Adults with painful knee conditions were prospectively enrolled from December 2021 to October 2022.
View Article and Find Full Text PDFImmun Inflamm Dis
January 2025
Department of Internal Medicine, Al-Khor Hospital, Hamad Medical Corporation, Doha, Qatar.
Background: Systemic lupus erythematosus (SLE) is a complex autoimmune disease with multisystemic involvement and unclear etiology. Although SLE could be linked to multiple neuropsychiatric manifestations, the co-occurrence of anorexia nervosa was only described through a few case reports that mainly affected children and adolescents.
Case Presentation: a 40-year-old Filipina woman presented to hospital with a 3-day history of agitation, anorexia and auditory hallucinations.
BMC Med Res Methodol
January 2025
Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA.
Background: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting their utility in research. This study aims to assess whether an "out of the box" implementation of open-source large language models (LLMs) without any fine-tuning can accurately extract social determinants of health (SDoH) data from free-text clinical notes.
Methods: We conducted a cross-sectional study using EHR data from the Mass General Brigham (MGB) system, analyzing free-text notes for SDoH information.
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