data analysis of long-term blood pressure monitoring

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CLIN. AND EXPER.-THEORY AND PRACTICE, A7(2&3), 381-385 (1985) DATA ANALYSIS OF LONG-TERM BLOOD PRESSURE MONITORIKG G.K. M6rieK CardioConcept Research Group PO Box 155 1211 GENEVA 12 (Switzerland) G. Abetel Group Practice Place du Marchi., 6 1350 ORBE (Switzerland) J.C. Bousquet Sandoz Product Clinical Research 4010 BASLE (Switzerland) Ke9 words: Datu analysis, anhulatory i5P INTRODUCTION Ambulatory systems for long-term blood pressure monitoring produce a large volu- me of data, usually displaying a wide inter-individual and inter-group variability. Until recently, most investigators involved in such studies were content to reduce this data to the mean, standard deviation, coefficient of variation, median, range and distribution. However, these values do not adequately reflect drug-induced chan- ges in circadian pressure readings and substiantially reduce the power of statistical analysis. As an aid to research in this field, our group has devised a systolic and dias- tolic pressure scoring method which integrates time-standardized blood pressure data and the interval of observations using predetermined thresholds. Such an approach is independent of the number of blood pressure (BPI readings, the average interval bet- ween two readings and the total duration of observation. METHOD 1. Analysis of blood pressure profiles. In order to compare BP profiles obtai- ned by indirect measurement, a uniform method of evaluation must be employed and a common standard accepted by all participants (as in electrocardiography). We offer the following model as meeting these requirements. Recording conditions. The patient wears a recording device for 12-24 hours while going about his normal activities. At 8 am and 6 pm he attends his doctor's office, where his blood pressure is also measured conventionally using a usual mercu- ry manometer linked to the portable device (Remler 2000) for calibration purposes. Measured variables. For systolic and diastolic BP: office BP. HgBP s i m u l t a n e o u s control values, mean correlation device/HgBP, mean office readings and standard devi- ation (SD), mean ambulatory readings and SD, mean profile and SD, range. For pulse: mean ambulatory readings and SD, office readings and SD, mean profile and SD. by graduations of 1-g (absolute and % values). The resultant curve is not always gaussian in shape; it reveals any difference between the mean and the median of the readings. This method of presentation takes no account to the duration of a given reading, which may be an important item. Data presentation. The day's readings are presented in a frequency distribution 2. Standardized Systolic and Diastolic Scoring (SSDS) method. Hathematical principle. The Standardized Systolic and Diastolic Scoring (SSDS) method is based on the time-related surface area of blood pressure above or below the following arbitrary thresholds curves: Positive systolic score: 160, 150, 140 nnnHg, negative systolic score: 100 d g , diastolic score: 95, 90, 85 dg. According 38 1 Copyright 0 1985 by Marcel Dekker, Inc. 0730-0077/85/0702-038 I $3.SO/O Clin Exp Hypertens Downloaded from informahealthcare.com by University of North Carolina on 11/07/14 For personal use only.

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Page 1: Data Analysis of Long-term Blood Pressure Monitoring

CLIN. AND EXPER.-THEORY AND PRACTICE, A7(2&3), 381-385 (1985)

DATA ANALYSIS OF LONG-TERM BLOOD PRESSURE MONITORIKG

G . K . M6rieK CardioConcept Research Group PO Box 155 1211 GENEVA 1 2 (Swi t ze r l and)

G . Abetel Group P r a c t i c e P lace du Marchi., 6 1350 ORBE (Swi t ze r l and)

J . C . Bousquet Sandoz Product C l i n i c a l Research 4010 BASLE (Swi t ze r l and)

Ke9 words: Datu analysis, anhulatory i5P

INTRODUCTION

Ambulatory systems f o r long-term b lood p r e s s u r e moni tor ing produce a l a r g e volu- m e of d a t a , u s u a l l y d i s p l a y i n g a wide i n t e r - i n d i v i d u a l and in te r -group v a r i a b i l i t y . U n t i l r e c e n t l y , most i n v e s t i g a t o r s involved in such s t u d i e s were conten t t o reduce t h i s da t a t o the mean, s t anda rd d e v i a t i o n , c o e f f i c i e n t of v a r i a t i o n , median, range and d i s t r i b u t i o n . However, t h e s e va lues do n o t adequa te ly r e f l e c t drug-induced chan- ges i n c i r c a d i a n p r e s s u r e r ead ings and s u b s t i a n t i a l l y reduce the power of s t a t i s t i c a l a n a l y s i s .

As an a i d t o r e s e a r c h i n t h i s f i e l d , our group has dev i sed a s y s t o l i c and d i a s - t o l i c p r e s s u r e s c o r i n g method which i n t e g r a t e s t ime-s tandard ized blood p r e s s u r e d a t a and the i n t e r v a l of obse rva t ions us ing prede termined th re sho lds . Such an approach i s independent of t h e number of blood p r e s s u r e (BPI r ead ings , t h e average i n t e r v a l b e t - ween two read ings and the t o t a l d u r a t i o n of obse rva t ion .

METHOD

1. Analys is of blood p r e s s u r e p r o f i l e s . I n o rde r t o compare BP p r o f i l e s o b t a i - ned by i n d i r e c t measurement, a uniform method of e v a l u a t i o n must be employed and a common s t anda rd accepted by a l l p a r t i c i p a n t s ( a s in e l e c t r o c a r d i o g r a p h y ) . We o f f e r t he fo l lowing model a s meet ing these requi rements .

Recording c o n d i t i o n s . The p a t i e n t wears a r eco rd ing device f o r 12-24 hours wh i l e going about h i s normal a c t i v i t i e s . A t 8 am and 6 pm he a t t e n d s h i s d o c t o r ' s o f f i c e , where h i s blood p res su re i s a l s o measured conven t iona l ly us ing a usua l mercu- r y manometer l i nked t o the p o r t a b l e device (Remler 2000) f o r c a l i b r a t i o n purposes .

Measured v a r i a b l e s . For s y s t o l i c and d i a s t o l i c BP: o f f i c e BP. HgBP s imul taneous c o n t r o l v a l u e s , mean c o r r e l a t i o n device/HgBP, mean o f f i c e r ead ings and s t anda rd devi - a t i o n (SD) , mean ambulatory r ead ings and SD, mean p r o f i l e and SD, range. For pu l se : mean ambulatory r ead ings and SD, o f f i c e r ead ings and SD, mean p r o f i l e and SD.

by g radua t ions of 1-g ( a b s o l u t e and % v a l u e s ) . The r e s u l t a n t curve i s n o t always gauss i an in shape; i t r e v e a l s any d i f f e r e n c e between the mean and the median of t h e r ead ings . Th i s method of p r e s e n t a t i o n t a k e s no account t o the d u r a t i o n of a given r ead ing , which may be an impor tan t i t e m .

Data p r e s e n t a t i o n . The d a y ' s r ead ings are p resen ted i n a f requency d i s t r i b u t i o n

2 . S t anda rd ized S y s t o l i c and D i a s t o l i c Scor ing (SSDS) method.

Hathemat ica l p r i n c i p l e . The S tanda rd ized S y s t o l i c and D i a s t o l i c Scor ing (SSDS) method i s based on t h e t ime-re la ted s u r f a c e a r e a of blood p res su re above o r below the fo l lowing a r b i t r a r y t h r e s h o l d s curves : P o s i t i v e s y s t o l i c s co re : 160 , 150, 140 nnnHg, n e g a t i v e s y s t o l i c score : 100 d g , d i a s t o l i c s co re : 95, 90 , 85 d g . According

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Copyright 0 1985 by Marcel Dekker, Inc. 0730-0077/85/0702-038 I $ 3 . S O / O

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Page 2: Data Analysis of Long-term Blood Pressure Monitoring

382 MERIER, ABETEL, AND BOUSQWT

04.05.83 DISTRIBUTION MESURES JOURNALIERES 12) SVSTOLIPUES 20101/42

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DATA ANALYSlS OF LONG-TERM BP M O N I T O R I N G 383

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384 MERIER, ABETEL, AND BOUSQUET

t o t h i s d e f i n i t i o n each s c o r e r e p r e s e n t s t h e ArmnHgltime u n i t above o r below t h e g iven th re sho ld , i . e . t he t o t a l s u r f a c e a r e a above o r below t h e t h r e s h o l d cu rve d iv ided by the t ime of obse rva t ion . This approach makes t h e SSDS method independent of t h e num- be r of blood p r e s s u r e measurements pe r hour and t h e t i m e of obse rva t ion . Consequently i t pe rmi t s v a l i d comparisons between d i f f e r e n t r e s e a r c h s t u d i e s i n t h i s f i e l d .

Computing process . We de f ine :

n

X S

X. 1

ti Ax. =

Ax. = 1

A t i =

SCORE

number of d a t a (b lood p r e s s u r e r ead ings )

t h r e s h o l d v a l u e s 160 , 150 and 140 f o r t h e P o s i t i v e s y s t o l i c s c o r e 100 f o r t h e Negat ive s y s t o l i c s co re 95 , 90 and 85 f o r t h e D i a s t o l i c s co re

i n d i v i d u a l d a t a ( i = l , 2 , ..., n)

t ime of measurement (hour , dec imal )

xi - xs; x . > 0 ( s y s t o l i c o r d i a s t o l i c , p o s i t i v e )

100 - x . X. > 0 ( s y s t o l i c , n e g a t i v e ) i' 1

t . - ti-l titl - t . 2 +-

(Represent ing t h e t i m e i n t e r v a l between two blood p res su re r ead ings . The f i r s t and l a s t r ead ings a r e s p e c i a l c a s e s , computed acco rd ing ly )

i = n 1 . 1 (Axi . Ati) = -

i=n i=l

i-1 1 A t ;

A BASIC-language computer program was dev i sed and implemented on desk and pocket computers ( a v a i l a b l e on r e q u e s t ) .

Mathematical e v a l u a t i o n . The mathematical i m p l i c a t i o n s of t h e SSDS method were eva lua ted by means of r e g r e s s i o n / c o r r e l a t i o n a n a l y s i s . The r e s u l t shows a v e r y good c o r r e l a t i o n between t h e mean and t h e s c o r e s i n cases wi th d i f f e r e n t means and the same s t anda rd d e v i a t i o n , and a t t h e o p p o s i t e , a v e r y good c o r r e l a t i o n between the s t anda rd d e v i a t i o n (which i s an e s t i m a t o r of t h e b lood p r e s s u r e v a r i a b i l i t y ) and t h e s c o r e s i n cases wi th t h e same mean and d i f f e r e n t s t anda rd d e v i a t i o n . Consequently, i n t h e s e two extreme t h e o r e t i c a l blood p r e s s u r e p a t t e r n s , t he SSDS method c o r r e l a t e s w e l l w i th t h e mean BP i n c a s e s wi th t h e same v a r i a b i l i t y and c o r r e l a t e s w e l l w i th t h e v a r i a b i l i t y i n c a s e s wi th t h e same mean BP. This r e f l e c t s t he b a s i c p r i n c i p l e of t h e SSDS method, which i s t o g ive a b e t t e r estimate of t h e c o n t r i b u t i o n of each i n d i v i d u a l measurement t o t h e t o t a l long-term b lood p r e s s u r e p r o f i l e and t o enhance t h e d i sc r imi - n a n t power of t he d a t a a n a l y s i s p rocess .

C l i n i c a l e v a l u a t i o n and r e l evance . I n o rde r t o e v a l u a t e the c l i n i c a l r e l evance of t h e SSDS method, p a r t i c u l a r l y w i t h i n the framework of a c l i n i c a l t r i a l of a n t i - hype r t ens ive d rugs , w e app l i ed t h e method t o the Swiss bop indo lo l / a t eno lo l coope ra t i - ve s tudy , i n which a t e n o l o l 5Omg and lOOmg w a s compared w i t h bopindolo l lmg and 2mg i n r e s p e c t t o t h e an t i -hype r t ens ive e f f e c t . Regard less of t he f i n a l r e s u l t s , which i s n o t t he purpose of t h i s pape r , t h e a n a l y s i s demonst ra ted t h e a b i l i t y of t h e SSDS method t o d e t e c t f i n e d i f f e r e n c e s i n t h e blood p r e s s u r e c o n t r o l a f fo rded by these two drugs . We conclude t h a t t he SSDS method appears t o be a more s e n s i t i v e and accu ra t e ins t rument f o r ana lys ing long-term blood p r e s s u r e d a t a , a s compared wi th t h e conven- t i o n a l "mean/ s tandard dev ia t ion" method .

SUMMARY

1 Long-term blood p r e s s u r e mon i to r ing p rov ides a l a r g e q u a n t i t y of d a t a wi th a wide i n t e r - i n d i v i d u a l o r i n t e r -g roup v a r i a b i l i t y .

2 The convent iona l "mean/standard dev ia t ion" approach t o d a t a a n a l y s i s i s a r e l a - t i v e l y i n s e n s i t i v e ins t rument f o r d e t e c t i n g c i r c a d i a n d i f f e r e n c e s i n blood p res - s u r e p r o f i l e , mainly because t h e mean and t h e v a r i a b i l i t y around t h e mean a r e processed s e p a r a t e l y .

3 The proposed Standard ized S y s t o l i c and D i a s t o l i c Scor ing (SSDS) method enhances the a n a l y t i c a l p o s s i b i l i t i e s .

P re l imina ry e v a l u a t i o n of t h e SSDS method u s i n g d a t a ob ta ined i n an anti-hyper- t e n s i v e drug t r i a l sugges t s c l i n i c a l r e l evance .

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DATA ANALYSIS OF LONG-TERM BP MONITORING

REFERENCES

1 A b e t e l G.F.: I n t e r s t du p r o f i l t e n s i o n n e l . Schweiz. med. Wschr. 1980; 110:1935- 1938.

2 Clement D.L.: How s h a l l we d e f i n e b lood p r e s s u r e v a r i a b i l i t y ? Round t a b l e d i s - c u s s i o n . I n Ref 6 : 607, 611-619.

3 Gould B . A . , Hornung R.S . , Kieso H . A . , e t a l : E v a l u a t i o n of t h e Remler M2000 blood p r e s s u r e r e c o r d e r . H y p e r t e n s i o n ; 1984:6:209-215.

4 M a l l i o n J . M . , de Gaudemaris R . , Vi l lemain P . : Automat ic ambula tory non- invas ive b lood p r e s s u r e r e c o r d i n g method, methodology, c l i n i c a l a p p l i c a t i o n s . I n Ref 6: 522-528.

5 Nann S . , M i l l a r - C a r i g M.W., Gould B . A . , e t a l : The assessment o f b l o o d p r e s s u r e v a r i a b i l i t y from h o u r l y mean v a l u e s . I n Ref 6 : 572-581.

6 S t o t t F.D., R a f t e r y E . B . , Clement D . L . , Wright S . L . , e d . : P r o c e e d i n g s o f t h e 4 t h I n t e r n a t i o n a l Symposium on Ambulatory M o n i t o r i n g and t h e 2nd Gent Workshop on Blood P r e s s u r e V a r i a b i l i t y . Academic P r e s s , New-York: 1982.

7 Van Maele G . O . , Clement D . L . : Methods of p r o c e s s i n g semi-cont inuous blood p r e s - s u r e r e c o r d i n g . In Ref 6: 608-611.

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