Literature DB >> 18956994

Influence of patient characteristics on success of ambulatory blood pressure monitoring.

Michelle A Fravel1, Michael E Ernst, Cynthia A Weber, Jeffrey D Dawson, Barry L Carter, George R Bergus.   

Abstract

STUDY
OBJECTIVE: To examine the influence of specific patient characteristics on the success of ambulatory blood pressure monitoring (ABPM).
DESIGN: Retrospective analysis.
SETTING: University-affiliated family care center. PATIENTS: Five hundred thirty patients (mean age 52.7 yrs, range 14-90 yrs) who were undergoing ABPM between January 1, 2001, and July 1, 2007. MEASUREMENT AND MAIN
RESULTS: Specific patient characteristics were identified through an electronic medical record review and then examined for association with ABPM session success rate. These patient characteristics included age, sex, weight, height, body mass index (BMI), occupation, clinic blood pressure, travel distance to clinic, and presence of diabetes mellitus or renal disease. The percentage of valid readings obtained during an ABPM session was analyzed continuously (0-100%), whereas overall session success was analyzed dichotomously (0-79% or 80-100%). Univariate and multivariate regression analyses were performed to examine the influence of patient characteristics on the percentage of valid readings and the overall likelihood of achieving a successful session. In the 530 patients, the average percentage of valid readings was 90%, and a successful ABPM session (>or= 80% valid readings) was obtained in 84.7% (449 patients). A diagnosis of diabetes was found to negatively predict ABPM session success (continuous variable analysis, p=0.019; dichotomous variable analysis, odds ratio [OR] 0.45, 95% confidence interval [CI] 0.23-0.87, p=0.019), as did renal disease (continuous variable analysis, p=0.006; dichotomous variable analysis, OR 0.39, 95% CI 0.17-0.90, p=0.027) and increasing BMI (continuous variable analysis, p<0.001; dichotomous variable analysis, OR 0.78, 95% CI 0.65-0.93, p=0.005). Renal disease and BMI remained significant predictors in adjusted analyses.
CONCLUSION: For most patients, ABPM was successful; however, elevated BMI and renal disease were associated with less complete ABPM session results. Adaptation and individualization of the ABPM process may be necessary to improve results in these patients.

Entities:  

Mesh:

Year:  2008        PMID: 18956994      PMCID: PMC4084605          DOI: 10.1592/phco.28.11.1341

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  13 in total

Review 1.  Noninvasive 24-hour ambulatory blood pressure monitoring: overview of technology and clinical applications.

Authors:  Michael E Ernst; George R Bergus
Journal:  Pharmacotherapy       Date:  2002-05       Impact factor: 4.705

2.  Ambulatory blood pressure monitoring: technology with a purpose.

Authors:  Michael E Ernst; George R Bergus
Journal:  Am Fam Physician       Date:  2003-06-01       Impact factor: 3.292

3.  Antihypertensive treatment based on conventional or ambulatory blood pressure measurement. A randomized controlled trial. Ambulatory Blood Pressure Monitoring and Treatment of Hypertension Investigators.

Authors:  J A Staessen; G Byttebier; F Buntinx; H Celis; E T O'Brien; R Fagard
Journal:  JAMA       Date:  1997-10-01       Impact factor: 56.272

4.  Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Systolic Hypertension in Europe Trial Investigators.

Authors:  J A Staessen; L Thijs; R Fagard; E T O'Brien; D Clement; P W de Leeuw; G Mancia; C Nachev; P Palatini; G Parati; J Tuomilehto; J Webster
Journal:  JAMA       Date:  1999-08-11       Impact factor: 56.272

5.  National standard for measurement of resting and ambulatory blood pressures with automated sphygmomanometers.

Authors:  W B White; A S Berson; C Robbins; M J Jamieson; L M Prisant; E Roccella; S G Sheps
Journal:  Hypertension       Date:  1993-04       Impact factor: 10.190

6.  The British Hypertension Society protocol for the evaluation of automated and semi-automated blood pressure measuring devices with special reference to ambulatory systems.

Authors:  E O'Brien; J Petrie; W Littler; M de Swiet; P L Padfield; K O'Malley; M Jamieson; D Altman; M Bland; N Atkins
Journal:  J Hypertens       Date:  1990-07       Impact factor: 4.844

7.  Cost-effectiveness of ambulatory blood pressure monitoring in the follow-up of hypertension.

Authors:  Gustavo C Rodriguez-Roca; Francisco J Alonso-Moreno; Almudena Garcia-Jimenez; Alvaro Hidalgo-Vega; Jose L Llisterri-Caro; Vivencio Barrios-Alonso; Antonio Segura-Fragoso; Elvira Clemente-Lirola; Susana Estepa-Jorge; Yolanda Delgado-Cejudo; Jose M Lopez-Abuin
Journal:  Blood Press       Date:  2006       Impact factor: 2.835

8.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

9.  How well does a shortened time interval characterize results of a full ambulatory blood pressure monitoring session?

Authors:  Michael E Ernst; Cynthia A Weber; Jeffrey D Dawson; Michelle A O'Connor; Wenjiao Lin; Barry L Carter; George R Bergus
Journal:  J Clin Hypertens (Greenwich)       Date:  2008-06       Impact factor: 3.738

10.  Favorable patient acceptance of ambulatory blood pressure monitoring in a primary care setting in the United States: a cross-sectional survey.

Authors:  Michael E Ernst; George R Bergus
Journal:  BMC Fam Pract       Date:  2003-10-08       Impact factor: 2.497

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  2 in total

1.  Indication-specific 6-h systolic blood pressure thresholds can approximate 24-h determination of blood pressure control.

Authors:  M E Ernst; G S Sezate; W Lin; C A Weber; J D Dawson; B L Carter; G R Bergus
Journal:  J Hum Hypertens       Date:  2010-06-24       Impact factor: 3.012

2.  Is it possible to shorten ambulatory blood pressure monitoring?

Authors:  Talya Wolak; Lior Wilk; Esther Paran; Arik Wolak; Bella Gutmacher; Elena Shleyfer; Michael Friger
Journal:  J Clin Hypertens (Greenwich)       Date:  2013-06-04       Impact factor: 3.738

  2 in total

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