Literature DB >> 30586340

Accuracy of oscillometric blood pressure algorithms in healthy adults and in adults with cardiovascular risk factors.

Raj Padwal1,2, Afrooz Jalali1,2, Donna McLean3, Saifal Anwar1, Kevan Smith4, Paolo Raggi1,2, Jennifer S Ringrose1,5.   

Abstract

BACKGROUND: Fixed-ratio and slope-based algorithms are used to derive oscillometric blood pressure (BP). However, a paucity of published data exists assessing the accuracy of these methods. Our objective was to determine the accuracy of fixed-ratio and slope-based algorithms in healthy adults and in adults with cardiovascular risk factors. PATIENTS AND METHODS: Overall, 85 healthy adults (age≥18 years) and 85 adults with cardiovascular risk factors were studied. Three oscillometric and four two-observer mercury-based auscultation measurements were performed in each, according to International Standards Organization 2013 methodology. Two fixed-ratio algorithms and one slope-based algorithm were applied to process oscillometric waveform envelopes and derive oscillometric BP. Paired and unpaired t-tests were used to compare mean oscillometric BP within and between each group, respectively.
RESULTS: For healthy adults, mean age was 50.3±17.8 years, mean arm circumference was 30.4±3.8 cm, and 62% were female. In the cardiovascular risk group, mean age was 63.8±12.4 years, mean arm circumference was 31.9±4.2 cm, and 62% were female. For systolic BP, the fixed-ratio algorithms produced the lowest mean error and narrowest SD. For diastolic BP, mean errors were similar for all three algorithms, but the fixed-ratio algorithms had higher precision. The comparison of healthy adults and those with cardiovascular risk factor showed high variability for systolic and diastolic BP (SD: 8.113.9 mmHg).
CONCLUSION: In both healthy adults and in those with cardiovascular risk factors, the fixed-ratio technique performed better than the slope-based algorithm. High between-group variability indicates that subject-specific algorithms may be needed.

Entities:  

Mesh:

Year:  2019        PMID: 30586340     DOI: 10.1097/MBP.0000000000000356

Source DB:  PubMed          Journal:  Blood Press Monit        ISSN: 1359-5237            Impact factor:   1.444


  3 in total

1.  The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying.

Authors:  Marina Markuleva; Mikhail Gerashchenko; Sergey Gerashchenko; Robert Khizbullin; Igor Ivshin
Journal:  Sensors (Basel)       Date:  2022-06-01       Impact factor: 3.847

2.  Optimizing observer performance of clinic blood pressure measurement: a position statement from the Lancet Commission on Hypertension Group.

Authors:  Raj Padwal; Norm R C Campbell; Aletta E Schutte; Michael Hecht Olsen; Christian Delles; Anthony Etyang; J Kennedy Cruickshank; George Stergiou; Michael K Rakotz; Gregory Wozniak; Marc G Jaffe; Ivor Benjamin; Gianfranco Parati; James E Sharman
Journal:  J Hypertens       Date:  2019-09       Impact factor: 4.844

3.  Changes in Office Blood Pressure Control, Augmentation Index, and Liver Steatosis in Kidney Transplant Patients after Successful Hepatitis C Infection Treatment with Direct Antiviral Agents.

Authors:  Aureliusz Kolonko; Joanna Musialik; Jerzy Chudek; Magdalena Bartmańska; Natalia Słabiak-Błaż; Agata Kujawa-Szewieczek; Piotr Kuczera; Katarzyna Kwiecień-Furmańczuk; Andrzej Więcek
Journal:  J Clin Med       Date:  2020-03-30       Impact factor: 4.241

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.