Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index.

Estefânia Wittke, Sandra C Fuchs, Flávio D Fuchs, Leila B Moreira, Elton Ferlin, Fábio T Cichelero, Carolina M Moreira, Jeruza Neyeloff, Marina B Moreira, Miguel Gus
Author Information
  1. Estefânia Wittke: Hospital de Clínicas de Porto Alegre, Brazil.

Abstract

BACKGROUND: Blood pressure (BP) variability has been associated with cardiovascular outcomes, but there is no consensus about the more effective method to measure it by ambulatory blood pressure monitoring (ABPM). We evaluated the association between three different methods to estimate BP variability by ABPM and the ankle brachial index (ABI).
METHODS AND RESULTS: In a cross-sectional study of patients with hypertension, BP variability was estimated by the time rate index (the first derivative of SBP over time), standard deviation (SD) of 24-hour SBP; and coefficient of variability of 24-hour SBP. ABI was measured with a doppler probe. The sample included 425 patients with a mean age of 57 ± 12 years, being 69.2% women, 26.1% current smokers and 22.1% diabetics. Abnormal ABI (≤ 0.90 or ≥ 1.40) was present in 58 patients. The time rate index was 0.516 ± 0.146 mmHg/min in patients with abnormal ABI versus 0.476 ± 0.124 mmHg/min in patients with normal ABI (P = 0.007). In a logistic regression model the time rate index was associated with ABI, regardless of age (OR = 6.9, 95% CI = 1.1- 42.1; P = 0.04). In a multiple linear regression model, adjusting for age, SBP and diabetes, the time rate index was strongly associated with ABI (P < 0.01). None of the other indexes of BP variability were associated with ABI in univariate and multivariate analyses.
CONCLUSION: Time rate index is a sensible method to measure BP variability by ABPM. Its performance for risk stratification of patients with hypertension should be explored in longitudinal studies.

References

  1. J Hypertens. 2007 Oct;25(10):2058-66 [PMID: 17885548]
  2. JAMA. 2008 Jul 9;300(2):197-208 [PMID: 18612117]
  3. Arq Bras Cardiol. 2005 Jul;85 Suppl 2:1-18 [PMID: 16127596]
  4. Hypertension. 2003 Sep;42(3):277-82 [PMID: 12885790]
  5. Circulation. 2006 Jun 13;113(23):2744-53 [PMID: 16754802]
  6. Atherosclerosis. 2009 Nov;207(1):186-90 [PMID: 19423110]
  7. Hypertension. 2000 Nov;36(5):901-6 [PMID: 11082164]
  8. Hypertension. 2006 Feb;47(2):137-8 [PMID: 16380532]
  9. Hypertension. 2005 Apr;45(4):505-12 [PMID: 15753234]
  10. Circulation. 2006 Jun 13;113(23):2679-82 [PMID: 16769924]
  11. Circulation. 2004 Feb 17;109(6):733-9 [PMID: 14970108]
  12. Circulation. 2007 Feb 6;115(5):654-7 [PMID: 17283280]
  13. Circulation. 2004 Mar 9;109(9):1089-94 [PMID: 14993130]
  14. J Am Geriatr Soc. 1997 Dec;45(12):1472-8 [PMID: 9400557]
  15. J Hypertens. 2005 Mar;23(3):505-11 [PMID: 15716690]
  16. Hypertension. 1989 Jun;13(6 Pt 1):647-55 [PMID: 2500393]
  17. J Am Coll Cardiol. 2008 Apr 1;51(13):1292-8 [PMID: 18371562]
  18. J Hypertens. 2007 Jun;25(6):1105-87 [PMID: 17563527]
  19. Arq Bras Cardiol. 2007 Sep;89(3):e24-79 [PMID: 17906811]
  20. J Vasc Surg. 2007 Jan;45 Suppl S:S5-67 [PMID: 17223489]
  21. Am J Hypertens. 2007 Feb;20(2):154-61 [PMID: 17261460]
  22. Circulation. 1993 Sep;88(3):837-45 [PMID: 8353913]
  23. JAMA. 2003 May 21;289(19):2560-72 [PMID: 12748199]
  24. Arch Intern Med. 2003 Sep 8;163(16):1939-42 [PMID: 12963567]
  25. Hypertens Res. 2005 Jan;28(1):1-7 [PMID: 15969248]
  26. Am J Hypertens. 1994 May;7(5):453-9 [PMID: 8060580]
  27. J Clin Epidemiol. 2001 Oct;54(10):973-8 [PMID: 11576807]
  28. J Hypertens. 1993 Oct;11(10):1133-7 [PMID: 8258679]
  29. Am J Hypertens. 2004 Aug;17(8):696-700 [PMID: 15323065]
  30. Hypertension. 2008 Aug;52(2):195-200 [PMID: 18541735]
  31. Hypertension. 2010 Apr;55(4):1049-57 [PMID: 20212270]
  32. BMJ. 1996 Dec 7;313(7070):1440-4 [PMID: 8973232]
  33. Clin Exp Hypertens. 2008 Oct;30(7):553-64 [PMID: 18855259]
  34. Hypertension. 2002 Feb;39(2 Pt 2):710-4 [PMID: 11882636]

MeSH Term

Aged
Ankle Brachial Index
Blood Pressure
Blood Pressure Monitoring, Ambulatory
Brazil
Diabetes Complications
Female
Humans
Hypertension
Male
Middle Aged
Observer Variation
Risk
Smoking

Word Cloud

Created with Highcharts 10.0.0ABI0variabilityindexpatientsBPtimerateassociatedSBP=pressureABPMage±1Pmethodmeasurebloodmonitoringdifferenthypertension24-hour1%mmHg/minregressionmodelBACKGROUND:BloodcardiovascularoutcomesconsensuseffectiveambulatoryevaluatedassociationthreemethodsestimateanklebrachialMETHODSANDRESULTS:cross-sectionalstudyestimatedfirstderivativestandarddeviationSDcoefficientmeasureddopplerprobesampleincluded425mean5712years692%women26currentsmokers22diabeticsAbnormal9040present58516146abnormalversus476124normal007logisticregardlessOR6995%CI1-4204multiplelinearadjustingdiabetesstrongly<01NoneindexesunivariatemultivariateanalysesCONCLUSION:TimesensibleperformanceriskstratificationexploredlongitudinalstudiesAssociationmeasurementsABPankle-brachial

Similar Articles

Cited By