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Objective: This study examined statin adherence amongst Kuwaiti hypercholesterolemic patients in order to identify factors associated with poor adherence and to determine whether or not an association exists between statin adherence and the risk profile of coronary heart disease (CHD).
Subjects And Methods: Two hundred hypercholesterolemic patients (30-69 years of age) were recruited from Kuwaiti primary healthcare clinics and interviewed about demographic characteristics, pre-existing self-reported medical conditions and prescribed medications. The Morisky Medication Adherence Scale was used to assess statin adherence (a self-reported, medication-adherence questionnaire divided into 3 levels, with a score of 8 denoting high adherence, 6 to <8 denoting medium adherence and <6 denoting low adherence). Data regarding anthropometric, psychological and serum risk factors were collected using 2 additional questionnaires, laboratory tests and bioelectrical impedance scales. Binary logistic regression was used to determine predictors of adherence and general linear modelling was used to test relationships between continuous outcomes and statin adherence.
Results: Of the 200 participants, 117 (58.5%) reported low adherence, 83 (41.5%) reported medium adherence and no patients (0%) scored high adherence. Younger patients (aged 30-50 years) had lower adherence than older patients (>50 years) [odds ratio (OR) 1.05; 95% confidence interval (CI) 1.01-1.09] for every extra year; p < 0.01). Those without diabetes, i.e. 113 (56.5%), were less likely to report medium adherence than those with diabetes (OR 0.42; 95% CI 0.23-0.75; p < 0.01). Low statin adherence was associated with higher levels of plasma cholesterol (p < 0.001) and low-density lipoprotein (p < 0.01).
Conclusion: In this study, there was a high prevalence of low statin adherence, especially among younger patients with fewer concomitant diseases. The results indicated an inverse relationship between statin adherence and CHD risk profile.
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http://dx.doi.org/10.1159/000450644 | DOI Listing |
Int J Med Inform
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Identifying patient-specific barriers to statin therapy, such as intolerance or deferral, from clinical notes is a major challenge for improving cardiovascular care. Automating this process could enable targeted interventions and improve clinical decision support (CDS).
Objective: To develop and evaluate a novel hybrid artificial intelligence (AI) framework for accurately and efficiently extracting information on statin therapy barriers from large volumes of clinical notes.
J Prim Care Community Health
September 2025
Division of Nephrology, Department of Medicine, National University Hospital, Singapore.
Background: Chronic kidney disease (CKD) management was largely centered around renin-angiotensin-aldosterone system inhibitors (RAASi) optimization, until recent emergence of novel therapeutics. However, slow adoption of guideline-directed therapy leaves patients vulnerable to disease progression. In 2022, a data-driven informatics approach was introduced to track real-time adherence to best practices.
View Article and Find Full Text PDFBackground: Statin adherence impacts cardiovascular outcomes, yet disparities persist. Understanding sociodemographic factors and barriers is crucial for targeted interventions.
Objective: To investigate the relationship between sociodemographic factors and statin adherence across racial and ethnic groups.
Eur J Prev Cardiol
September 2025
Center for Primary Care and Public Health (Unisanté), University of Lausanne, Unisanté, Rue du Bugnon 44, Lausanne CH-1011, Switzerland.
BMC Gastroenterol
September 2025
Department of Gastroenterology, Anhui No.2 Provincial People's Hospital, Doctor's Office, 13th Floor, Building D, No.1868, Dangshan Road, North Second Ring Road, Yaohai District, Hefei, 230000, Anhui, China.
Objective: Ischemic colitis (IC) represents a significant gastrointestinal condition requiring precise clinical characterization. This study aimed to analyze the clinical features and risk factors associated with IC through a comprehensive retrospective analysis of 117 cases.
Methods: We conducted a retrospective analysis of patients diagnosed with IC at the Department of Gastroenterology, Second People's Hospital of Anhui Province, from December 2019 to December 2024.