This paper explores, at an epidemiological level, the relationship between categories of over-the-counter (OTC) and prescribed (Rx) drugs in a community-resident elderly population. A total of 2818, randomly selected, older adults were interviewed at home about their use of prescribed and non-prescribed medication and other health-related factors. For comparative purposes OTC drugs were classified into 16 therapeutic groups-identical to those used by other researchers; prescribed drugs were classified into 45 British National Formulary (BNF) therapeutic sub-categories. Analyses revealed significant association between certain BNF categories and OTC categories, which may have a clinical explanation. These include a 3-fold increase (P<0.01) of OTC laxative use by those prescribed an antidepressant, and a 4-fold increase (P<0.001) in OTC antacid use among those prescribed oral corticosteroids. Our findings may indicate an attempt by older people to control side effects of prescription medicines with OTC preparations. This study, in part, supports the call by the Royal College of Physicians for further research to determine the effect of interactions (be they pharmacological, behavioural or otherwise) between OTC and prescribed medicines.
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http://dx.doi.org/10.1016/s0167-4943(99)00013-8 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
J Atten Disord
January 2025
Johns Hopkins Aramco Healthcare, Clinical Psychology and Counseling Services Unit, Saudi Arabia.
Objective: This study investigated the psychometric properties of the Arabic version of the Adult Self-Report Scale-5 (the ASRS-5-AR) within a large sample of adults residing in Saudi Arabia.
Methods: This cross-sectional study applied the ASRS-5-AR to a random sample of 4,299 Saudi and non-Saudi adults, aged 19 to 66 years (31.16 ± 9.
Circ Genom Precis Med
January 2025
Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).
Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.
View Article and Find Full Text PDFAccurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.
View Article and Find Full Text PDFCephalomedullary nail is the gold standard treatment for intertrochanteric fracture in geriatric population. The aim of the study was to investigate the differences of the reamed versus the unreamed short proximal femoral nailing (PFN), in terms of the duration of surgery and the outcome. The impact of patients and fracture characteristics to the outcome was also evaluated.
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