Predictors of orthostatic hypotension in patients attending a transient ischaemic attack clinic: Database study

de la Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Ong, Alice C. L., Potter, John F., Metcalf, Anthony K. and Myint, Phyo Kyaw (2013) Predictors of orthostatic hypotension in patients attending a transient ischaemic attack clinic: Database study. Blood Pressure, 22 (2). pp. 120-127. ISSN 0803-7051

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Abstract

Background: Orthostatic hypotension (OH) is common amongst the older population and is associated with morbidity and mortality. We sought to investigate predictors of OH to assist the clinician in identifying patients at risk. Methods and results: Database of 2696 patients attending a transient ischaemic attack (TIA) clinic between January 2006 and May 2009 was examined. Logistic regression models were constructed to determine clinical associates of OH. Demographics, co-morbidities, cardiovascular risk factors and medications were included in the multivariate models. Simple data mining models in the form of rule sets were developed for each component and they were assessed for predictive accuracy. The best models were validated on a smaller sample. Prevalence of OH was 22.3% in the TIA clinic population (50.6% men, mean 72 years; 49.4% women, mean 75 years). A significant postural drop in systolic blood pressure (BP) (= 20 mmHg) was more prevalent than a significant diastolic BP drop (= 10 mmHg). Isolated systolic hypertension was common (52.4%). Common factors predicting a significant systolic and diastolic BP fall were older age, previous TIA, being a current smoker, having diabetes and the use of beta-blockers. Both mean arterial and pulse pressure (MAP and PP) derived from supine BP were significantly associated with OH. Conclusions: OH should be assessed routinely in TIA clinics. MAP and PP may provide information on the predictability of OH.

Item Type: Article
Uncontrolled Keywords: blood pressure,epidemiology,orthostatic hypotension,predictors,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School: Faculty of Science > School of Computing Sciences
Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Science > Research Groups > Data Science and Statistics
Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023)
Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health
Faculty of Medicine and Health Sciences > Research Groups > Nutrition and Preventive Medicine
Faculty of Science > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Depositing User: Users 2731 not found.
Date Deposited: 16 Nov 2012 13:17
Last Modified: 21 Apr 2023 23:35
URI: https://ueaeprints.uea.ac.uk/id/eprint/40109
DOI: 10.3109/08037051.2012.732780

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