{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T21:52:13Z","timestamp":1787953933921,"version":"build-2784847793"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brit J Clinical Pharma"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:sec><jats:title>Aims<\/jats:title><jats:p>Less than 50% of patients treated for hypertension reach a target office systolic blood pressure (SBP). We aimed to evaluate the role of adiposity on antihypertensive drug responses in newly diagnosed hypertensive patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Estimated glomerular filtration rates, body mass index (BMI), skinfold thickness (SFT), body surface areas and waist circumferences of 150 hypertensive patients na\u00efve to treatment were measured. Treatment protocols were started as combination of angiotensin converting enzyme inhibitor (ACE\u2010I) plus calcium channel blocker (CCB), angiotensin receptor blocker plus CCB or ACE\u2010I plus diuretic. Pre\u2010treatment and change in blood pressure (\u0394BP) after 4\u00a0weeks treatment were determined. Multiple linear regression analysis was used to find independent predictors of \u0394blood pressure changes, and multivariable binary logistic regression analysis to find independent predictors of target SBP\u2009&lt;\u2009140\u2009mmHg at 4\u00a0weeks.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 104 patients reached the target systolic pressure of &lt;140\u2009mmHg at 4\u00a0weeks. Triceps, mid\u2010abdomen and subscapular SFT were significantly thicker in the uncontrolled blood pressure group (<jats:italic>P<\/jats:italic>\u2009=\u2009.011, <jats:italic>P<\/jats:italic>\u2009=\u2009.006 and <jats:italic>P<\/jats:italic>\u2009=\u2009.016, respectively). Pretreatment SBP (<jats:italic>r<\/jats:italic>\u2009=\u20090.644), pretreatment diastolic blood pressure (DBP) (<jats:italic>r<\/jats:italic>\u2009=\u20090.188), subscapular SFT (<jats:italic>r<\/jats:italic>\u2009=\u2009\u22120.318), suprailiac SFT (<jats:italic>r<\/jats:italic>\u2009=\u2009\u22120.211) and \u0394DBP (<jats:italic>r<\/jats:italic>\u2009=\u20090.433) were correlated with \u0394SBP in correlation analysis. Pretreatment SBP (\u03b2\u2009=\u20090.644, 95% CI\u2009=\u20090.697\u20130.993, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001), subscapular SFT (\u03b2\u2009=\u2009\u22120.253, 95% CI\u2009=\u2009\u22120.886\u2013\u22120.329, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001), pretreatment DBP (\u03b2\u2009=\u2009\u22120.380, 95% CI\u2009=\u2009\u22120.1001\u2013 \u22120.453, <jats:italic>P<\/jats:italic>\u2009=\u2009.001) and \u0394DBP (\u03b2\u2009=\u20090.401, 95% CI\u2009=\u20090.377\u20130.796, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001) were independent predictors of \u0394SBP in multivariable linear regression analysis. Subscapular SFT was an independent predictor of target SBP\u2009&lt;\u2009140\u2009mmHg in multivariable logistic regression analysis (OR\u2009=\u20090.895, 95% CI\u2009=\u20090.832\u20130.963, <jats:italic>P<\/jats:italic>\u2009=\u2009.003).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Subscapular SFT may be a valuable marker for prediction of response to antihypertensive drugs.<\/jats:p><\/jats:sec>","DOI":"10.1111\/bcp.16265","type":"journal-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T09:55:12Z","timestamp":1727776512000},"page":"420-426","source":"Crossref","is-referenced-by-count":2,"title":["Assessment of the influence of body fat indices on antihypertensive drug responses"],"prefix":"10.1111","volume":"91","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8224-4006","authenticated-orcid":false,"given":"Duygun","family":"Alt\u0131nta\u015f Aykan","sequence":"first","affiliation":[{"name":"Department of Pharmacology Kahramanmaras Sutcu Imam University, Faculty of Medicine Kahramanmaras  Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmet \u00c7a\u011fr\u0131","family":"Aykan","sequence":"additional","affiliation":[{"name":"Department of Cardiology Kahramanmaras Sutcu Imam University, Faculty of Medicine Kahramanmaras  Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enes","family":"\u00c7elik","sequence":"additional","affiliation":[{"name":"Department of Cardiology Kahramanmaras Sutcu Imam University, Faculty of Medicine Kahramanmaras  Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bayram","family":"\u00d6zt\u00fcrk","sequence":"additional","affiliation":[{"name":"Department of Cardiology Kahramanmaras Sutcu Imam University, Faculty of Medicine Kahramanmaras  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