Dataset Information

Home blood pressure measurement for hypertension management in the real world: Do not just measure, but share with your physician.

ABSTRACT:

Introduction

Studies of the effectiveness of home blood pressure (BP) measurement on the treatment of hypertension in the real world are sparse, and the results are controversial. There is an efficacy-effectiveness gap in the treatment of hypertension using home BP measurements. We aimed to investigate the effect of reporting home BP to physicians on ambulatory BP control as a factor contributing to the efficacy-effectiveness gap in treating patients with hypertension.

Methods

We recruited patients ≥20 years of age taking antihypertensive drugs. Office and 24-h ambulatory BP were measured. A questionnaire to the measurement of home BP was conducted. Participants were divided into an HBPM(-) group, home BP was not measured (n = 467); HBPM(+)-R(-) group, home BP was measured but not reported (n = 81); and HBPM(+)-R(+) group, home BP was measured and reported (n = 125).

Results

The HBPM(+)-R(+) group had significantly lower office systolic BP (SBP, p = 0.035), 24-h SBP (p = 0.009), and daytime SBP (p = 0.016) than the HBPM(-) group, and lower nighttime SBP (p = 0.005) and diastolic BP (DBP, p = 0.008) than the HBPM(+)-R(-) group. In the multivariate analysis, the differences in 24-h SBP, daytime SBP, and nighttime DBP remained significant. There was a significant difference between groups in the target achievement rate of 24-h SBP (p = 0.046), nighttime SBP (p = 0.021), and nighttime DBP (p = 0.023). The nighttime SBP and DBP target achievement rates in the HBPM(+)-R(+) group were higher than those in the HBPM(+)-R(-) group (p = 0.006 and 0.010, respectively). Among patients measuring home BP, the adjusted odds ratio for 24-h and nighttime BP target achievement in the HBPM(+)-R(+) group were 2.233 and 3.658, respectively.

Conclusion

Home BP measurements should be reported to the treating physician to effectively manage hypertension.

Clinical trial registration

https://clinicaltrials.gov, identifier NCT03868384.

SUBMITTER: Rhee MY

PROVIDER: S-EPMC9889357 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Home blood pressure measurement for hypertension management in the real world: Do not just measure, but share with your physician.

Rhee Moo-Yong MY Munakata Masanori M Nah Deuk-Young DY Kim Je Sang JS Kim Hae-Young HY

Frontiers in cardiovascular medicine 20230118

<h4>Introduction</h4>Studies of the effectiveness of home blood pressure (BP) measurement on the treatment of hypertension in the real world are sparse, and the results are controversial. There is an efficacy-effectiveness gap in the treatment of hypertension using home BP measurements. We aimed to investigate the effect of reporting home BP to physicians on ambulatory BP control as a factor contributing to the efficacy-effectiveness gap in treating patients with hypertension.<h4>Methods</h4>We ...[more]

PMID: 36742078

Similar Datasets

Project description:Importance:Elevated systolic blood pressure (SBP) is the most important risk factor for premature death worldwide. However, hypertension detection and control rates continue to be suboptimal. Objective:To assess the association of education and feedback to primary care physicians with population-level SBP and hypertension control rates. Design, Setting, and Participants:This pooled series of 108 population-based cohort studies involving 283 079 patients used data from primary care centers in 2 counties (Västerbotten and Södermanland) in Sweden from 2001 to 2009. Participants were individuals aged 18 years or older who had their blood pressure (BP) measured and recorded in either county during the intervention period. All analyses were performed in February 2019. Exposures:An intervention comprising education and feedback for primary care physicians in Västerbotten County (intervention group) compared with usual care in Södermanland County (control group). Main Outcomes and Measures:Difference in mean SBP levels between counties and likelihood of hypertension control in the intervention county compared with the control county during 24 months of follow-up. Results:A total of 136 541 unique individuals (mean [SD] age at inclusion, 64.6 [16.1] years; 57.0% female; mean inclusion BP, 142/82 mm Hg) in the intervention county were compared with 146 538 individuals (mean [SD] age at inclusion, 65.7 [15.9] years; 58.3% female; mean inclusion BP, 144/80 mm Hg) in the control county. Mean SBP difference between counties during follow-up, adjusted for inclusion BP and other covariates, was 1.1 mm Hg (95% CI, 1.0-1.1 mm Hg). Hypertension control improved by 8.4 percentage points, and control was achieved in 37.8% of participants in the intervention county compared with 29.4% in the control county (adjusted odds ratio, 1.30; 95% CI, 1.29-1.31). Differences between counties increased during the intervention period and were more pronounced in participants with higher SBP at inclusion. Results were consistent across all subgroups. Conclusions and Relevance:This study suggests that SBP levels and hypertension control rates in a county population may be improved by educational approaches directed at physicians and other health care workers. Similar strategies may be adopted to reinforce the implementation of clinical practice guidelines for hypertension management.

Project description:BackgroundIndividual-level blood pressure (BP) variability, independent of mean BP levels, has been associated with increased risk for cardiovascular events in cohort studies and clinical trials using standardized BP measurements. The extent to which BP variability relates to cardiovascular risk in the real-world clinical practice setting is unclear. We sought to determine if BP variability in clinical practice is associated with adverse cardiovascular outcomes using clinically generated data from the electronic health record (EHR).MethodsWe identified 42,482 patients followed continuously at a single academic medical center in Southern California between 2013 and 2019 and calculated their systolic and diastolic BP variability independent of the mean (VIM) over the first 3 years of the study period. We then performed multivariable Cox proportional hazards regression to examine the association between VIM and both composite and individual outcomes of interest (incident myocardial infarction, heart failure, stroke, and death).FindingsBoth systolic (HR, 95% CI 1.22, 1.17-1.28) and diastolic VIM (1.24, 1.19-1.30) were positively associated with the composite outcome, as well as all individual outcome measures. These findings were robust to stratification by age, sex and clinical comorbidities. In sensitivity analyses using a time-shifted follow-up period, VIM remained significantly associated with the composite outcome for both systolic (1.15, 1.11-1.20) and diastolic (1.18, 1.13-1.22) values.InterpretationVIM derived from clinically generated data remains associated with adverse cardiovascular outcomes and represents a risk marker beyond mean BP, including in important demographic and clinical subgroups. The demonstrated prognostic ability of VIM derived from non-standardized BP readings indicates the utility of this measure for risk stratification in a real-world practice setting, although residual confounding from unmeasured variables cannot be excluded.FundingThis study was funded in part by National Institutes of Health grants R01-HL134168, R01-HL131532, R01-HL143227, R01-HL142983, U54-AG065141; R01-HL153382, K23-HL136853, K23-HL153888, and K99-HL157421; China Scholarship Council grant 201806260086; Academy of Finland (Grant no: 321351); Emil Aaltonen Foundation; Finnish Foundation for Cardiovascular Research.

Project description:ObjectiveTo evaluate the diagnostic performance of a UK National Institute for Health and Care Excellence-recommended automatic oscillometric blood pressure (BP) measurement device incorporated with an atrial fibrillation (AF) detection algorithm (Microlife WatchBP Home A) for real-world AF screening in a primary healthcare setting.SettingPrimary healthcare setting in Hong Kong.InterventionsThis was a prospective AF screening study carried out between 1 September 2014 and 14 January 2015. The Microlife device was evaluated for AF detection and compared with a reference standard of lead-I ECG.Primary outcome measuresDiagnostic performance of Microlife for AF detection.Results5969 patients (mean age: 67.2±11.0 years; 53.9% female) were recruited. The mean CHA2DS2-VASc ( C : congestive heart failure [1 point]; H : hypertension [1 point]; A2 : age 65-74 years [1 point] and age ≥75 years [2 points]; D : diabetes mellitus [1 point]; S : prior stroke or transient ischemic attack [2 points]; VA : vascular disease [1 point]; and Sc : sex category [female] [1 point])score was 2.8±1.3. AF was diagnosed in 72 patients (1.21%) and confirmed by a 12-lead ECG. The Microlife device correctly identified AF in 58 patients and produced 79 false-positives. The corresponding sensitivity and specificity for AF detection were 80.6% (95% CI 69.5 to 88.9) and 98.7% (95% CI 98.3 to 98.9), respectively. Among patients with a false-positive by the Microlife device, 30.4% had sinus rhythm, 35.4% had sinus arrhythmia and 29.1% exhibited premature atrial complexes. With the low prevalence of AF in this population, the positive and negative predictive values of Microlife device for AF detection were 42.4% (95% CI 34.0 to 51.2) and 99.8% (95% CI 99.6 to 99.9), respectively. The overall diagnostic performance of Microlife device to detect AF as determined by area under the curves was 0.90 (95% CI 0.89 to 0.90).ConclusionsIn the primary care setting, Microlife WatchBP Home was an effective means to screen for AF, with a reasonable sensitivity of 80.6% and a high negative predictive value of 99.8%, in addition to its routine function of BP measurement. In a younger patient population aged <65 years with a lower prevalence of AF, Microlife WatchBP Home A demonstrated a similar diagnostic accuracy.

Dataset Information

Home blood pressure measurement for hypertension management in the real world: Do not just measure, but share with your physician.

Introduction

Methods

Results

Conclusion

Clinical trial registration

Publications

Home blood pressure measurement for hypertension management in the real world: Do not just measure, but share with your physician.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets