{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T21:58:22Z","timestamp":1778968702205,"version":"3.51.4"},"reference-count":17,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Medicine and Pharmacy T\u00eergu Mure\u015f","award":["16\/23.12.2014"],"award-info":[{"award-number":["16\/23.12.2014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p><jats:italic>Objective<\/jats:italic>. The aim of this study is to define the normal range for average real variability (ARV) and to establish whether it can be considered as an additional cardiovascular risk factor.<jats:italic>Methods<\/jats:italic>. In this observational study, 110 treated hypertensive patients were included and admitted for antihypertensive treatment adjustment. Circadian blood pressure was recorded with validated devices. Blood pressure variability (BPV) was assessed according to the ARV definition. Based on their variability, patients were classified into low, medium, and high variability groups using the fuzzy<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>c<\/mml:mi><\/mml:mrow><\/mml:math>-means algorithm. To assess cardiovascular risk, blood samples were collected. Characteristics of the groups were compared by ANOVA tests.<jats:italic>Results<\/jats:italic>. Low variability was defined as ARV below 9.8\u2009mmHg (32 patients), medium as 9.8\u201312.8\u2009mmHg (48 patients), and high variability above 12.8\u2009mmHg (30 patients). Mean systolic blood pressure was 131.2 \u00b1 16.7, 135.0 \u00b1 12.1, and 141.5 \u00b1 11.4\u2009mmHg in the low, medium, and high variability groups, respectively (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>p<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn mathvariant=\"normal\">0.0113<\/mml:mn><\/mml:math>). Glomerular filtration rate was 78.6 \u00b1 29.3, 74.8 \u00b1 26.4, and<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mn mathvariant=\"normal\">62.7<\/mml:mn><mml:mo>\u00b1<\/mml:mo><mml:mn mathvariant=\"normal\">23.2<\/mml:mn><mml:mo>\u2009<\/mml:mo><mml:mi mathvariant=\"normal\">m<\/mml:mi><mml:mi mathvariant=\"normal\">L<\/mml:mi><mml:mo>\/<\/mml:mo><mml:mi mathvariant=\"normal\">m<\/mml:mi><mml:mi mathvariant=\"normal\">i<\/mml:mi><mml:mi mathvariant=\"normal\">n<\/mml:mi><mml:mo>\/<\/mml:mo><mml:mn mathvariant=\"normal\">1.73<\/mml:mn><mml:mo>\u2009<\/mml:mo><mml:msup><mml:mrow><mml:mi mathvariant=\"normal\">m<\/mml:mi><\/mml:mrow><mml:mrow><mml:mn mathvariant=\"normal\">2<\/mml:mn><\/mml:mrow><\/mml:msup><\/mml:math>in the low, medium, and high variability groups, respectively (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mi>p<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn mathvariant=\"normal\">0.0261<\/mml:mn><\/mml:math>).<jats:italic>Conclusion<\/jats:italic>. Increased values of average real variability represent an additional cardiovascular risk factor. Therefore, reducing BP variability might be as important as achieving optimal BP levels, but there is need for further studies to define a widely acceptable threshold value.<\/jats:p>","DOI":"10.1155\/2016\/7816830","type":"journal-article","created":{"date-parts":[[2016,5,9]],"date-time":"2016-05-09T21:04:00Z","timestamp":1462827840000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?"],"prefix":"10.1155","volume":"2016","author":[{"given":"Annam\u00e1ria","family":"Magd\u00e1s","sequence":"first","affiliation":[{"name":"Department for Internal Medicine IV, University of Medicine and Pharmacy of T\u00eergu Mure\u015f, Strada Gheorghe Marinescu No. 1, 3rd Floor, 540103 T\u00eergu Mure\u015f, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L\u00e1szl\u00f3","family":"Szil\u00e1gyi","sequence":"additional","affiliation":[{"name":"Faculty of Technical and Human Sciences, Sapientia University of Transylvania, \u015eoseaua Sighi\u015foarei 1\/C, 540485 T\u00eergu Mure\u015f, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandru","family":"Incze","sequence":"additional","affiliation":[{"name":"Department for Internal Medicine IV, University of Medicine and Pharmacy of T\u00eergu Mure\u015f, Strada Gheorghe Marinescu No. 1, 3rd Floor, 540103 T\u00eergu Mure\u015f, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1097\/01.hjh.0000431740.32696.cc"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s11906-015-0537-1"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3109\/07420528.2013.750490"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.2337\/dcs13-2043"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1161\/hypertensionaha.107.090084"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1097\/hjh.0b013e328330a94f"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1097\/hjh.0b013e328361e4a6"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1097\/01.hjh.0000160205.81652.5a"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.107.088708"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1097\/HJH.0b013e32829c6a60"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1093\/ajh\/hpt142"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1161\/hypertensionaha.109.140798"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-9-200905050-00006"},{"key":"14","year":"1981"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.114.03250"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1093\/ajh\/hpu045"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/s1474-4422(10)70066-1"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/7816830.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/7816830.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/7816830.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,8,19]],"date-time":"2016-08-19T01:39:07Z","timestamp":1471570747000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2016\/7816830\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":17,"alternative-id":["7816830","7816830"],"URL":"https:\/\/doi.org\/10.1155\/2016\/7816830","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}