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[Normal and borderline ambulatory arterial pressures. A new method for establishing reference values].
1Unité de recherches biomathématiques et biostatistiques, INSERM U 263, université de Paris.
Archives Des Maladies Du Coeur Et Des Vaisseaux
|July 1, 1989
Summary
The Mc Queen method improves classification of normal and borderline arterial hypertension by reducing overlap between clinical and ambulatory blood pressure profiles. This objective criterion reclassifies approximately 20% of subjects for more accurate reference groups.
Area of Science:
- Cardiology
- Hypertension Research
- Biostatistics
Context:
- Ambulatory arterial pressure monitoring (SAP, DAP) and heart rate were assessed over 24 hours in 168 young adult males.
- World Health Organization (WHO) criteria classified subjects into normal (n=72) and borderline hypertensive (n=86) groups.
- Significant overlap was observed between WHO-defined normal and borderline hypertension groups based on clinical and ambulatory pressures.
Purpose:
- To evaluate the effectiveness of the Mc Queen method in reducing overlap between normal and borderline arterial pressure profiles.
- To establish an objective criterion for reclassifying subjects when clinical and ambulatory pressures conflict.
- To define new reference groups for arterial pressure based on both clinical and ambulatory pressure profiles.
Summary:
- The Mc Queen method, utilizing cluster analysis, significantly reduces the overlap in arterial pressure profiles between normal and borderline hypertensive groups.
- This method provides an objective criterion for reclassifying approximately 20% of subjects where clinical and ambulatory measurements diverge.
- The reclassification refines reference groups while maintaining WHO criteria as the classification basis.
Impact:
- The Mc Queen method offers a more precise definition of normal and borderline arterial pressure profiles.
- It enables more accurate classification of individuals, particularly when clinical and ambulatory readings are discordant.
- This approach has potential applications for defining arterial pressure profiles across diverse demographic groups, including different genders and age ranges.