ANALYSIS OF 24-H NONINVASIVE AMBULATORY BLOOD-PRESSURE PROFILES BY A 3RD-DEGREE POLYNOMIAL APPROACH

Citation
S. Corrao et al., ANALYSIS OF 24-H NONINVASIVE AMBULATORY BLOOD-PRESSURE PROFILES BY A 3RD-DEGREE POLYNOMIAL APPROACH, Journal of cardiovascular diagnosis and procedures, 13(4), 1996, pp. 237-242
Citations number
8
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging","Cardiac & Cardiovascular System
ISSN journal
10737774
Volume
13
Issue
4
Year of publication
1996
Pages
237 - 242
Database
ISI
SICI code
1073-7774(1996)13:4<237:AO2NAB>2.0.ZU;2-C
Abstract
Extensive experience of the circadian variation of blood pressure (BE) has been reported. But some problems exist concerning the correct and satisfactory evaluation of 24-h BP profiles, A well-known approach is the Halberg's ''cosinor'' method. But it could be considered inadequa te for blood pressure recordings because it is based on a rigid model that does not practically fit empirical data, We suggest an approach b ased on a cubic function as a suitable method for such an analysis, Ou r investigation studied the behavior of 24-h blood pressure by a model where the function f(t) is a third-degree polynomial, We recruited 52 untreated patients affected by essential hypertension, Ambulatory BP recordings were made using a portable noninvasive system, Data were an alyzed by a computerized procedure for both estimating parameters of t he cubic-polynomial model and obtaining conventional and function-deri ved parameters, Eleven of 52 hypertensives showed no common rhythm: 8 patients had no statistically significant rhythm and 3 had a reversed rhythm, The 8 of 11 hypertensives who had no statistically significant rhythms were also ''nondippers'' according to the criteria of Verdecc hia et al.((8)) The remaining 41 patients were matched and compared to 41 normotensive subjects, In general, function-derived parameters str essed differences between the two groups more than the conventional on es, We suggested an analysis of 24-h BP data based on a cubic function model, We verified that such a methodology is feasible, At the moment , it seems a useful approach for clinical investigation.