{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T23:56:33Z","timestamp":1787961393121,"version":"build-2784847793"},"reference-count":15,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,4,13]],"date-time":"2019-04-13T00:00:00Z","timestamp":1555113600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Hypertension"],"published-print":{"date-parts":[[2019,5]]},"abstract":"<jats:p>The relative efficacy of antihypertensive treatment has been assessed primarily by randomized clinical trials (RCTs). The increasing availability of electronic medical records (EMR) allows results from RCT to be compared to data from actual clinical practice. EMR from TriNetX were used to compare patients starting and adhering to antihypertensive treatment on diuretics, beta blockers, angiotensin II or ACE inhibitors, or calcium channel blockers for at least\u00a036\u00a0months. Cardiovascular (CV) events as defined by ICD\u201010 codes were evaluated for an observation period of three years. Outcomes were assessed with and without propensity score matching for confounding factors. A total of 79\u00a0288 patients fulfilled the criteria for first\u2010line therapy and adherence (17.4% diuretics, 25.9% beta blockers, 45.1% inhibitors of the renin\u2010angiotensin system, and 11.6% calcium channel blockers). Differences in demography and comorbidities were consistent with expectations based on treatment guidelines. RAS blockers showed the best BP control (28.7% episodes of uncontrolled BP) and, together with diuretics, the lowest rate of CV events (diuretics, 5.2%; RAS blockers, 5.4%). Beta blockers were associated with the highest rate of uncontrolled BP (45.9%) and a high CV event rate (9.5%). These trends remained after matching the cohorts for confounding factors. EMR show that actual prescribing behavior for first\u2010line treatment of essential hypertension reflects treatment guidelines. Patients taking either RAS blockers or diuretics experienced the lowest CV event rates. Beta blockers, even when adjusted for pre\u2010existing cardiovascular conditions, do not seem to be as protective against CV events as the three other classes.<\/jats:p>","DOI":"10.1111\/jch.13531","type":"journal-article","created":{"date-parts":[[2019,4,13]],"date-time":"2019-04-13T09:38:52Z","timestamp":1555148332000},"page":"627-634","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["First\u2010line treatment of essential hypertension: A real\u2010world analysis across four antihypertensive treatment classes"],"prefix":"10.1111","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6127-1109","authenticated-orcid":false,"given":"Manfred","family":"Stapff","sequence":"first","affiliation":[{"name":"TriNetX, Inc. Cambridge Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Hilderbrand","sequence":"additional","affiliation":[{"name":"TriNetX, Inc. Cambridge Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,4,13]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000558"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1161\/STR.0000000000000046"},{"issue":"12","key":"e_1_2_7_4_1","first-page":"45","article-title":"Primary stroke prevention and hypertension treatment: which is the first\u2010line strategy?","volume":"3","author":"Ravenni R","year":"2011","journal-title":"Neurol Int"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.11.006"},{"issue":"4","key":"e_1_2_7_6_1","first-page":"CD001841","article-title":"First\u2010line drugs for hypertension","volume":"18","author":"Wright JM","year":"2018","journal-title":"Cochrane Database Syst Rev"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.284427"},{"key":"e_1_2_7_8_1","unstructured":"StaceyJ MehtaM.Using EHR data extraction to streamline the clinical trial process. 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