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[Clinical characteristics and pharmacological treatment of patients with heart failure in a primary health care cohort].

Aten Primaria

January 2025

Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, España; Department of Pharmacology, Therapeutics and Toxicology, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Barcelona, España; Institut Català de la Salut, Barcelona, España.

Objective: To characterise patients with heart failure (HF) in Primary Health Care (PHC) and describe their socio-demographic and clinical characteristics and pharmacological treatment.

Design: Descriptive cohort study. SITE: Information System for the Development of Research in Primary Care (SIDIAP), which captures information from the electronic health records of PHC of the Catalan Institute of Health (approximately 80% of the Catalan population).

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Dysuria, a feeling of pain or discomfort during urination, is often caused by urinary tract infection but can also be due to sexually transmitted infection, bladder irritants, skin lesions, and some chronic pain conditions. History is most often useful for finding signs of sexually transmitted infection, complicated infections, lower urinary symptoms in males, and noninfectious causes. Most patients presenting with dysuria should have a urinalysis performed.

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Objective: We derive and validate D-RISK, an electronic health record (EHR)-driven risk score to optimize and facilitate screening for undiagnosed dysglycemia (prediabetes + diabetes) in clinical practice.

Research Design And Methods: We used retrospective EHR data (derivation sample) and a prospective diabetes screening study (validation sample) to develop D-RISK. Logistic regression with backward selection was used to predict dysglycemia (HbA1c ≥5.

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Background: Febrile illness in returned travelers presents a diagnostic challenge in non-endemic settings. Chat generative pretrained transformer (ChatGPT) has the potential to assist in medical tasks, yet its diagnostic performance in clinical settings has rarely been evaluated. We conducted a preliminary validation assessment of ChatGPT-4o's performance in the workup of fever in returning travelers.

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Background: Type 2 diabetes (T2D) causes increased health care resource utilization (HCRU) and costs in the United States. People with T2D are more likely to have atherosclerotic cardiovascular disease (ASCVD), which is associated with significant morbidity and mortality. Medical associations recommend cardioprotective antidiabetic medications, including sodium-glucose cotransporter-2 inhibitors (SGLT2is) and glucagon-like peptide 1 receptor agonists (GLP-1 RAs), to reduce the risk of cardiovascular events in patients with T2D with established, or a high risk of, ASCVD, but not all eligible patients receive these medications.

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