(Hypertension. 2000;35:1032.)
© 2000 American Heart Association, Inc.
Scientific Contributions |
From the Department of Epidemiology (K.M.R., G.H.), University of North Carolina at Chapel Hill; the Division of Epidemiology (D.K.A.), University of Minnesota, Minneapolis; and the Section of Preventive Medicine and Epidemiology (R.C.E.), Boston University Medical Center, Boston, Mass.
Correspondence to Gerardo Heiss, MD, University of North Carolina at Chapel Hill, 137 E Franklin St, Bank of America Center, Suite 306, Chapel Hill, NC 27514. E-mail gerardoheiss{at}unc.edu
| Abstract |
|---|
|
|
|---|
Key Words: blood pressure monitoring blood pressure determination pulse
| Introduction |
|---|
|
|
|---|
In the course of analysis of DINAMAP-derived blood pressure data, it came to our attention that certain values were skipped in the distribution of systolic blood pressure (SBP) values. This led us to systematically review blood pressures measured by this device available from 3 large National Heart, Lung, and Blood Institute (NHLBI)-sponsored studies. The findings from our review are reported in this article.
| Methods |
|---|
|
|
|---|
The ARIC study includes a cohort study of middle-aged African American and white men and women sampled from 4 US communities (Forsyth County, NC; Jackson, Miss; suburban Minneapolis, Minn; and Washington County, Md) designed to investigate the causes and natural history of atherosclerosis.14 At baseline (1987 to 1989), there were 15 792 participants. A variety of DINAMAP-derived blood pressure measurements were taken during the baseline examination including multiple sitting, supine, and standing blood pressures; in addition to brachial measurements, 2 measurements were also taken at the ankle. Details of the blood pressure measurement protocol are described elsewhere.17 DINAMAP measurements also were obtained on participants who were reexamined during either visit 3 (1993 to 1995) or visit 4 (1996 to 1998). These included several brachial measurements and an ankle measurement.
The NHLBI FHS is a multicenter (Framingham, Mass; Forsyth County, NC; suburban Minneapolis, Minn; and Salt Lake City, Utah), biethnic populationbased study of genetic and nongenetic determinants of cardiovascular disease risk factors, atherosclerosis, and coronary heart disease.15 Phase 2 (1994 to 1995) of the FHS involved a clinical examination of members of 588 randomly selected families and 657 high-risk families. During this examination, DINAMAP blood pressure measurements were taken in both the ankle and the arms and in both the sitting and standing positions. Details of the study design and the blood pressure measurement protocol have previously been described.15 18
The HyperGEN study was designed to investigate genetic determinants of
hypertension in African American and white men and women from 5 US
communities (Birmingham, Ala; Framingham, Mass; Forsyth County, NC;
suburban Minneapolis, Minn; and Salt Lake City, Utah).16
Included in this study are data that were available as of December
1998: a random sample (
900 participants) and hypertensive sibship
pairs (
2500 individuals). Multiple DINAMAP blood pressure
measurements were taken in the seated, supine, and standing positions,
under both resting and stress-provoking situations. Seated measurements
were taken on both arms. Details of the study design and the blood
pressure measurement protocol are described
elsewhere.16
All participants in the ARIC, FHS, and HyperGEN studies gave written informed consent.
Blood Pressure Measurements
All blood pressure measurements examined in this study were
taken with the use of a DINAMAP 1846-SX or a DINAMAP 1846-SX/P device.
Its automated measurements were noninvasive and used an oscillometric
technique to determine blood pressure values.2 The maximum
and minimum detectable SBP values were 245 and 30 mm Hg,
respectively. For diastolic blood pressure (DBP), the
maximum and minimum values were 210 and 10 mm Hg, respectively.
In adults, during the first determination sequence, the cuff pressure
was inflated to 178 mm Hg. If a participants SBP exceeded this
value, as indicated by the absence of a systolic value, the
cuff was inflated to a higher inflation pressure (which did not exceed
250 mm Hg). A sensitive transducer measured both cuff pressure
and pressure oscillations within the cuff. A stepped
deflation technique, which was dependent on the interval between the
participants heartbeats, was used. The determination sequence was as
follows: SBP, mean arterial pressure, DBP, and pulse. When
diastolic pressure was determined or the cuff pressure fell
to <7 mm Hg, the monitor deflated the cuff and analyzed
the data, which was automatically stored on a microprocessor during
each step of the measurement process. To avoid transcription errors,
blood pressure and pulse values were downloaded from the DINAMAP to a
personal computer. An exception was that in the FHS study, sitting
blood pressure measurements were transcribed.
Analytic Technique
For each of the 3 studies, frequency distributions for all
available DINAMAP-obtained SBP, DBP, and pulse (HyperGEN only)
measurements were generated with the use of the SAS
System.19 Given that within each study the same DINAMAP
model but different machines were used at each study site, all
frequencies were initially stratified by study center. Statistics for
each of the 3 indexes were visually inspected and omitted values were
recorded. Values that occurred infrequently but were proximal to
values that occurred with high frequencies were also recorded and
further analyzed.
| Results |
|---|
|
|
|---|
|
Data based on between 2026 and 2166 participants across 16 different SBP measurements were evaluated in the HyperGEN study. The following values were not observed: 89, 118, 124, 140, 141, 150, 160, 170, 180, 190, and 200. Two values occurred 1 time (119 and 130 mm Hg) and 1 value occurred 2 times (125 mm Hg); these occurred in the same study participant.
Analysis of FHS DINAMAP data based on between 1441 and 4283 participants across 9 different SBP measures revealed that the identical values were missing, as in ARIC and HyperGEN, except that at 1 study site 130 mm Hg occurred 2 times and 140 mm Hg occurred 1 time.
To provide a visual representation of the skip pattern, as well as to demonstrate the frequency of values immediately proximal to those values that did not occur, the Figure presents data from the first brachial SBP measurement taken at visit 1 of the ARIC study.
|
A similar assessment of all DINAMAP-derived DBP measurements was made. No skip pattern was detected for DBP (data not presented). DINAMAP-derived pulse data were readily available only in the HyperGEN study. Across >33 000 different measurements, the following pulse values did not occur: 95, 99, 103, 106, and 109 bpm.
| Discussion |
|---|
|
|
|---|
150 occurred only at
equal increments of 10 mm Hg, and in some instances 2 contiguous
SBP values were skipped (eg, 118, 119 mm Hg); however, an overall
pattern to the values skipped could not be discerned. In contrast, no
DBP values were detected that were consistently skipped.
Finally, an evaluation of pulse data based on measurements available
from the HyperGEN study revealed that 5 values were not observed (95,
99, 103, 106, and 109 bpm). Because the DINAMAP Operation Manual2 does not refer to this phenomenon, the manufacturer of the DINAMAP equipment, the Critikon Corporation, was consulted. A member of the technical staff confirmed that the skip pattern we observed for SBP was known to the manufacturer of the DINAMAP. This pattern is reportedly the result of an algorithm developed to adjust oscillometric SBP to improve accuracy when compared with an intra-arterial reference. The application of the algorithm ostensibly adjusts for changes in the compliance of the vessel but leads to gaps in the SBP values that are consistent with the skip pattern that we observed. The extremely rare occurrence in our data of some of the values, which should not have occurred because of the algorithm, may have been due to observer error. This could occur when there was a failure in the connection between the DINAMAP and the computer, which led to a manual transcription of the blood pressure values. Another possibility is that incorrect cuff placement and/or slippage during the blood pressure measurement (which would be most common in obese participants) could have led to variations between measures that exceeded the machine tolerance and thus caused a failure in the algorithm.
The adjustment algorithm is not applied to DBP measurements, which is consistent with the absence of a skip pattern for DBP in our data. Skipped values for pulse rates are caused by resolution limitations according to the manufacturer, particularly at higher heart rates. The DINAMAP is programmed to improve accuracy of its output for pulse rate by choosing what it senses to be the best period during the blood pressure determination. Given the consistency of the skip pattern we observed for heart rate, it is highly unlikely that any of the skipped values seen in our data occurred as the result of chance or technician error.
The algorithm used in the DINAMAP is proprietary. Thus, it is difficult to assess the extent and direction of biases introduced as the result of the skipping of certain values. Two of the skipped SBP values (140 and 141 mm Hg) are in a range relevant to a cut-point for classification as "hypertension." Thus, depending on whether the algorithm adjusted values upward or downward, individuals could be incorrectly categorized as having or not having hypertension. It does not appear that skipped values were consistently assigned to adjacent SBP values because there was not a strong or consistent excess in the frequency of SBP values immediately contiguous to or in the vicinity of the skipped value (see Figure). Given the variable nature of blood pressure and that in both clinical and research settings a diagnosis of hypertension is usually based on multiple measurements, any potential bias caused by a skipped value should be reduced.
Efforts to assess the accuracy of the DINAMAP device are often based on comparisons with other indirect measurements obtained from a standard mercury sphygmomanometer (eg, References 7 and 9 ). Yet, measurements with the latter device may have limited repeatability20 21 and can be prone to substantial biases caused by digit preference.22 23 24 25
The gold standard for determination of blood pressure is by direct measurement of intra-arterial pressure with a catheter.26 The DINAMAP was developed with the use of direct measurements of central aortic pressure as a reference. Validation studies that have compared the performance of the DINAMAP with this "gold standard" generally have found accuracy to be within established limits of acceptability,27 28 and reliability studies have found its repeatability high.3 4 5 Thus, even in light of the skip patterns currently reported, use of the DINAMAP or other automated devices may be preferable to a mercury sphygmomanometer, particularly in large or multicenter epidemiological studies where the use of multiple technicians makes it difficult to obtain standardized blood pressure measurements. Similarly, such devices may be the better choice in situations in which repeated, self-administered measurements of blood pressure are required (eg, see Reference 29 ).
In summary, we have identified a clear and distinct skip pattern in SBP and pulse values obtained from the DINAMAP automated device. To the best of our knowledge, this has not previously been documented in the literature. While the implications of the skipped values are not clear, it is important for both clinicians and researchers to be aware of this feature.
| Acknowledgments |
|---|
Received October 19, 1999; first decision November 15, 1999; accepted December 15, 2000.
| References |
|---|
|
|
|---|
2. DINAMAP Adult/Pediatric, and Neonatal Vital Signs Monitor: Models 1846 SX and 1846 SX/P Operation Manual. Tampa, Fla: Critikon Corp; 1988.
3. Mundt K, Chambless LE, Burnham CB, Heiss G. Measuring ankle systolic blood pressure: validation of the DINAMAP 1846 SX. Angiology. 1992;43:555566.
4. Bald M, Kubel S, Rascher W. Validity and reliability of 24 hour blood pressure monitoring in children and adolescents using a portable oscillometric device. J Hum Hypertens. 1994;8:363366.[Medline] [Order article via Infotrieve]
5. Gardner AW, Montgomery PS. Comparison of 3 blood pressure methods used for determining ankle/brachial index in patients with intermittent claudication. Angiology. 1998;49:723728.
6. Kaufman MA, Pargger H, Drop LJ. Oscillometric blood pressure measurements by different devices are not interchangeable. Anesth Analg. 1996;82:377381.[Abstract]
7. Goonasekera CD, Dillon MJ. Random zero sphygmomanometer versus automatic oscillometric blood pressure monitor: is either the instrument of choice? J Hum Hypertens. 1995;9:885889.[Medline] [Order article via Infotrieve]
8. Shennan A, Rushbrook J, Halligan A. Comparison of blood pressure measurements methods. Lancet. 1997;349:648649.
9. Raptis AE, Spring MW, Viberti G. Comparison of blood pressure measurement methods in adult diabetics. Lancet. 1997;349:175176.[Medline] [Order article via Infotrieve]
10. OBrien E, Mee F, Atkins N, OMalley K. Short report: accuracy of the DINAMAP portable monitor model 8100 determined by the British Hypertension Society protocol. J Hypertens. 1993;11:761763.[Medline] [Order article via Infotrieve]
11. Pessenholfer H. Single cuff comparison of 2 methods for indirect measurement of arterial blood pressure: standard auscultatory method versus automatic oscillometric method. Basic Res Cardiol. 1986;8:101109.
12. Friedman B. Accuracy of DINAMAP monitors. Lancet. 1997;350:217218. Letter.
13. OBrien E, Atkins N. Inaccuracy of the DINAMAP 8100 portable monitor. Lancet. 1997;349:10261027. Letter.
14.
ARIC Investigators. The Atherosclerosis
Risk in Communities (ARIC) Study: design and objectives. Am
J Epidemiol. 1989;129:687702.
15.
Higgins M, Province M, Heiss G, Eckfeldt J, Ellison RC,
Folsom AR, Rao DC, Sprafka JM, Williams R. NHLBI Family Heart Study:
objectives and design. Am J Epidemiol. 1996;143:12191228.
16. HyperGEN Investigators. Hypertension Genetic Epidemiology Network: Manuals of Procedures. Version 2. St Louis, Mo: Washington University, Division of Biostatistics; 1993.
17. ARIC Investigators. ARIC Manuals of Operation. Manual 11: Sitting Blood Pressure and Postural Changes in Blood Pressure and Heart Rate. Chapel Hill, NC: University of North Carolina at Chapel Hill, Department of Biostatistics, ARIC Coordinating Center. 1987.
18. FHS Investigators. NHLBI Family Heart Study: manuals of procedures. St Louis, Mo: Washington University, Division of Biostatistics; 1993.
19. SAS Language and Procedures: Usage. Version 6, 1st ed. Cary, NC: SAS Institute, Inc; 1989.
20. Kugler J, Rollnik J, Schmitz N. Retest-reliability and convergent validity of noninvasive blood pressure determination: arm sphygmomanometry vs Penaz-method. J Clin Monitoring Computing. 1997;14:251254.
21. Uhari M. Evaluation of the measurement of childrens blood pressure in an epidemiological multicentre study. Acta Paediatr Scand Suppl. 1985;318:7988.[Medline] [Order article via Infotrieve]
22. Bennett S. Blood pressure measurement error: its effect on cross-sectional and trend analyses. J Clin Epidemiol. 1994;47:293301.[Medline] [Order article via Infotrieve]
23. Wen SW, Kramer MS, Hoey J, Hanley JA, Usher RH. Terminal digit preference, random error, and bias in routine clinical measurement of blood pressure. J Clin Epidemiol. 1993;46:11871193.[Medline] [Order article via Infotrieve]
24.
Hessel PA. Terminal digit preference in blood
pressure measurements: effects on epidemiological associations.
Int J Epidemiol. 1986;15:122125.
25. Prasad N, Wheeldon NM, MacDonald TM. Evaluating the use of a semiautomated cuff-oscillometric sphygmomanometer in the hypertension clinic. Br J Clin Pract. 1994;48:307309.[Medline] [Order article via Infotrieve]
26. Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, Morgenstern BZ. Human blood pressure determination by sphygmomanometry. Circulation. 1993; 88:24602470.
27. Baker LK. DINAMAP monitor versus direct blood pressure measurements. Dimensions Crit Care Nursing. 1986;5:228235.[Medline] [Order article via Infotrieve]
28. Bruner JMR, Krenis LJ, Kunsman JM, Sherman AP. Comparison of direct and indirect methods of measuring arterial blood pressure. Biomed Instrum Technol. 1981;15:1121, 97101, 182188.
29.
Ellison RC, Gamble WJ, Taft DS. A device for the
automatic measurement of blood pressure in epidemiologic studies.
Am J Epidemiol. 1984;120:542549.
This article has been cited by other articles:
![]() |
N. Kupper, D. Ge, F. A. Treiber, and H. Snieder Emergence of Novel Genetic Effects on Blood Pressure and Hemodynamics in Adolescence: The Georgia Cardiovascular Twin Study Hypertension, May 1, 2006; 47(5): 948 - 954. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. G. Pickering, J. E. Hall, L. J. Appel, B. E. Falkner, J. Graves, M. N. Hill, D. W. Jones, T. Kurtz, S. G. Sheps, and E. J. Roccella Recommendations for Blood Pressure Measurement in Humans and Experimental Animals: Part 1: Blood Pressure Measurement in Humans: A Statement for Professionals From the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research Circulation, February 8, 2005; 111(5): 697 - 716. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. G. Pickering, J. E. Hall, L. J. Appel, B. E. Falkner, J. Graves, M. N. Hill, D. W. Jones, T. Kurtz, S. G. Sheps, and E. J. Roccella Recommendations for Blood Pressure Measurement in Humans and Experimental Animals: Part 1: Blood Pressure Measurement in Humans: A Statement for Professionals From the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research Hypertension, January 1, 2005; 45(1): 142 - 161. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. G. Terra, R. A. Blum, G. C. Wei, R. A. Lew, A. G. Digenio, I. Rajman, and D. J. Kazierad Evaluation of Methods for Improving Precision of Blood Pressure Measurements in Phase I Clinical Trials J. Clin. Pharmacol., May 1, 2004; 44(5): 457 - 463. [Abstract] [Full Text] |
||||
![]() |
J. A. Staessen Blood Pressure-Measuring Devices : Time to Open Pandora's Box and Regulate Hypertension, May 1, 2000; 35(5): 1037 - 1037. [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Hypertension Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2000 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |