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The primary outcome was the prescription of drugs that may raise BP at discharge. A multivariable linear probability model was employed to assess the relationship between patient and hospital characteristics and the likelihood of receiving these prescriptions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Among 979\u2009234 patients with hypertension (mean age: 75.3\u2009years, standard deviation: 13.2), 230\u2009792 (23.6%) received at least one drug that may elevate BP at discharge. Non\u2010steroidal anti\u2010inflammatory drugs (NSAIDs) were the most frequently prescribed (46.6%), followed by glucocorticoids (35.3%), atypical antipsychotics (15.1%), antidepressants (7.9%), and Japanese herbal medicines (6.1%). Prescription prevalence was higher among female patients, younger adults, those admitted for medical conditions, non\u2010emergency hospitalizations, patients with disabilities, and those with a Charlson Comorbidity Index of 1. Patients hospitalized for musculoskeletal or skin conditions, transferred to another hospital, or discharged from high\u2010volume hospitals were also more likely to receive these prescriptions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Drugs that may raise BP are commonly prescribed at discharge for patients with hypertension. This highlights the need for targeted interventions to optimize medication management at discharge, aiming to improve BP control and patient outcomes.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.70150","type":"journal-article","created":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T23:16:40Z","timestamp":1746573400000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hospital Discharge Prescription of Drugs That May Raise Blood Pressure in Patients With Hypertension"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0686-9910","authenticated-orcid":false,"given":"Sarasa","family":"Miyake","sequence":"first","affiliation":[{"name":"Department of Clinical Epidemiology and Health Economics School of Public Health, The University of Tokyo  Tokyo 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