Duloxetine, a Serotonin-Norepinephrine Reuptake Inhibitor (SNRI), is frequently used to treat diabetic peripheral neuropathy, depression, and fibromyalgia. However, its long-term cardiovascular implications in older individuals remain underexplored, particularly in those with pre-existing cardiovascular diseases. This medical record assessment aimed to evaluate the potential cardiovascular risks of duloxetine use in older persons after prolonged use. We evaluated adverse drug reactions (ADRs) using six medical records from elderly individuals (aged 70-79) with cardiovascular comorbidities who received duloxetine (≥60 mg daily) for anxiety, depression, and chronic pain. ADRs were assessed using the Naranjo ADR Probability Scale, the Modified Hartwig and Siegel Severity Scale, and the Karch and Lasagna Algorithm. Clinical outcomes were assessed before and after duloxetine dose reduction or withdrawal. All the patients had cardiovascular-related ADRs, such as peripheral cyanosis, vasoconstriction, atrial fibrillation, and hypertensive episodes. Five of the six patients experienced mild cognitive impairment [Montreal Cognitive Assessment (MoCA) scores of 11-24/30]. A positive dechallenge (symptom resolution) was observed in all medical records after decreasing or discontinuing duloxetine. It is interesting to note that four medical records demonstrated significant improvement in cyanosis, blood pressure, and anxiety after decreasing or discontinuing duloxetine use. There was no rechallenge in this study. The causality was considered probable (Naranjo Scale), and ADRs were categorized as moderately severe (Hartwig and Siegel Scale) in all the medical records. However, with adequate monitoring, the ADRs were considered preventable (Schumock and Thornton Scale). Long-term duloxetine use could cause significant cardiovascular problems in older individuals, particularly those who already have cardiovascular difficulties. Regular monitoring of cardiovascular function and early steps such as dose adjustment or drug withdrawal of duloxetine may reduce the prognosis of ADRs. More studies are required to create safer treatment strategies for managing depression and anxiety in older people with cardiovascular issues.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3390/jcm13247595 | DOI Listing |
BioData Min
January 2025
Fondazione Bruno Kessler, Trento, Italy.
Biomedical datasets are the mainstays of computational biology and health informatics projects, and can be found on multiple data platforms online or obtained from wet-lab biologists and physicians. The quality and the trustworthiness of these datasets, however, can sometimes be poor, producing bad results in turn, which can harm patients and data subjects. To address this problem, policy-makers, researchers, and consortia have proposed diverse regulations, guidelines, and scores to assess the quality and increase the reliability of datasets.
View Article and Find Full Text PDFBMC Med Educ
January 2025
The First Clinical Medicine School of Guangdong Pharmaceutical University, Guangdong, People's Republic of China.
Objective: This study examines a novel teaching model that integrates the development and use of a Medical Cloud Dictionary with project-based learning (PBL). We investigate whether this integrated approach improves teaching effectiveness, enhances student learning outcomes, and reduces teaching pressure compared to traditional PBL.
Methods: One hundred student volunteers were randomly assigned to an experimental group (n = 50) and a control group (n = 50).
BMC Geriatr
January 2025
Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Rd., Zhongzheng Dist., Taipei, 100025, Taiwan.
Background: To identify cardiovascular (CV) risk factors in Asian elderly aged 75 years and older and subsequently develop and validate a sex-specific five-year CV risk assessment tool for this population.
Methods: This study included 12,174 patients aged ≥ 75 years without a prior history of cardiovascular disease at a single hospital in Taiwan. Electronic health records were linked to the National Health Insurance Research Database and the National Death Registry to ensure comprehensive health information.
BMC Bioinformatics
January 2025
Centro de Salud Retiro, Hospital Universitario Gregorio Marañon, C/Lope de Rueda, 43, 28009, Madrid, Spain.
Background: Natural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the generation of structured and actionable data, supporting complex tasks like cohort identification and the analysis of clinical records. To accomplish those tasks, we introduce a deep learning-based and lexicon-based named entity recognition (NER) tool for texts in Spanish.
View Article and Find Full Text PDFKorean J Ophthalmol
January 2025
Department of Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea.
Purpose: To evaluate the accuracy of toric intraocular lens (IOL) axis prediction between two preoperative measurement devices: the optical biometry (IOLMaster 500 or 700) and the dual Scheimpflug topography (Galilei G4).
Methods: Medical records of 64 eyes from 44 patients who underwent phacoemulsification and posterior chamber toric IOL (Zeiss AT TORBI 709M) implantation between July 2017 and January 2022 were reviewed. All patients underwent preoperative evaluation by optical biometry (IOLMaster 500 or IOLMaster 700) and Galilei G4.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!