Construction of age-related reference limits for 24-h blood pressure pattern

References

• Association for the Advancement of Medical Instrumentations. American National Standard for Electronic or Automated Sphygmomanometers. AAMI, Arlington, VA 1987
   Google Scholar
• Harshfield G. A., Hwang C., Grim C. E. A validation study of the Del Mar Avionics Pressurometer IV according to AAMI guidelines. Journal of Hypertension 1988; 6: 913–918
   PubMed Web of Science ®Google Scholar
• White W. B., Lund-Johansen P., McCabe E. J., Omvik P. Clinical evaluation of the Accutracker II ambulatory blood pressure monitor: assessment of performance in two countries and comparison with sphygmomanometry and intra-arterial blood pressure at rest and during exercise. Journal of Hypertension 1989; 7: 967–975
   PubMed Web of Science ®Google Scholar
• Santucci S., Steiner D., Zimbler M., James G. D., Pickering T. G. Validation study of the Spacelabs models 90202 and 5200 ambulatory blood pressure monitors. Journal of Ambulatory Monitoring 1989; 1: 211–215
   Google Scholar
• White W. B., Lund-Johnsen P., McCabe E. J. Clinical evaluation of the Colin ABPM 630 at rest and during exercise: an ambulatory blood pressure monitor with gas-powered cuff inflation. Journal of Hypertension 1989; 7: 477–483
   PubMed Web of Science ®Google Scholar
• White W. B., Lund-Johansen P., Omvik P. Assessment of four ambulatory blood pressure monitors and measurements by clinicians versus intra-arterial blood pressure at rest and during exercise. American Journal of Cardiology 1990; 65: 60–66
   PubMed Web of Science ®Google Scholar
• White W. B. The assessment of portable noninvasive blood pressure recorders. Journal of Hypertension 1990; 8: 591–593
   PubMed Web of Science ®Google Scholar
• Jamieson M. J., Fowler G., McDonald T. M. Bench and ambulatory field evaluation of the A&D TM-2420 automated sphygmomanometer. Journal of Hypertension 1990; 8: 599–605
   PubMed Web of Science ®Google Scholar
• O'Brien E., Petrie J., Littler W., De Swiet M., Padfield P. L., O'Malley K., Jamieson M., Altman D., Bland M., Atkins N. The British Hypertension Society protocol for the evaluation of automated and semi-automated blood pressure measuring devices with special reference to ambulatory systems. Journal of Hypertension 1990; 8: 607–619
   PubMed Web of Science ®Google Scholar
• National High Blood Pressure Education Program Working Group. Report on ambulatory blood pressure monitoring. Archives of Internal Medicine 1990; 150: 2270–2280
   PubMedGoogle Scholar
• The Scientific Committee. Consensus document on non-invasive blood pressure monitoring. Journal of Hypertension 1990; 8: 135–140, Suppl. 6
   Web of Science ®Google Scholar
• Staessen J., Fagard R., Lijnen P., Thijs L., Van Hoof R., Amery A. Reference values for ambulatory blood pressure: a meta-analysis. Journal of Hypertension 1990; 8: 57–64, Suppl. 6
   Web of Science ®Google Scholar
• World Health Organization. Arterial hypertension. Report of a WHO Expert Committee. Technical Report Series no 628, World Health Organization, Geneva 1978
   Google Scholar
• Millar-Craig M. W., Bishop G. N., Raftery E. B. Orcadian variation of blood pressure. Lancet 1978; 1: 795–799
   PubMed Web of Science ®Google Scholar
• Littler W. A., Watson R. D. S. Circadian variations in blood pressure. Lancet 1978; 2: 995–996
   Google Scholar
• Barter F. C, Delea C. S., Barker W., Halberg F., Lee J. K. Chronobiology in the diagnosis and treatment of mesor-hypertension. Chronobiologia 1976; 3: 199–213
   PubMedGoogle Scholar
• Delea C. S. Chronobiology of blood pressure. Nephron 1979; 23: 91–97
   PubMed Web of Science ®Google Scholar
• Halberg F., Fink H. Juvenile human blood pressure: need for a chronobiology approach. Hypertension in Children and Adolescents, G. Giovanelli, M. I. New, S. Gorini. Raven Press, New York 1981; 45–73
   Google Scholar
• Cugini P., Lucia P., Murano G., Letizia C., Scavo D., Verna R. On determinants of blood pressure rhythmicity. Blood Pressure Recording in the Clinical Management of Hypertension, G. Germanò. L. Pozzi Edizioni, Roma 1985; 55–68
   Google Scholar
• Proschan F. Confidence and tolerance intervals for the normal distribution. Journal of the American Statistical Association 1953; 48: 550–557
   Web of Science ®Google Scholar
• Hahn G. Finding an interval for the next observation from a normal distribution. Journal of Qualified Technics 1969; 1: 168–174
   Google Scholar
• Guttman I. Statistical tolerance regions, classical and Bayesian. Griffin's Statistical Monograph and Courses, A. Stuart. Hafner, Darien, CT 1970; 150
   Google Scholar
• Sunderman F. W. Current concepts of ‘normal values’, ‘reference values’ and ‘discrimination values’ in clinical chemistry. Clinical Chemistry 1975; 21: 1873–1890
   PubMed Web of Science ®Google Scholar
• Halberg F., Johnson E. A., Nelson W., Sothern R. B. Auto-rhythmometry: procedures for physiologic self-measurements and their analysis. Physiology Teacher 1972; 1: 1–11
   Google Scholar
• Halberg F., Tong Y. L., Johnson E. A. Circadian system phase: an aspect of temporal morphology; procedures and illustrative examples. The Cellular Aspects of Biorhythms, H. Von Mayersbach. Springer-Verlag, Berlin 1967; 20–48
   Google Scholar
• Germanò G., Damiani S., Pecchioli V. Once-daily administration of captopril plus hydrochlorothiazide in patients with essential hypertension. Current Therapeutic Research 1990; 47: 940–951
   Web of Science ®Google Scholar
• Mattes A., Witte K., Hohmann W., Lemmer B. PHARMFIT—a non linear fitting program for pharmacology. Chronobiology International 1991; 8: 460–476
   PubMed Web of Science ®Google Scholar
• Cugini P. Dynamic rhythmometry: inferential excess indices using micro-computers. Journal of Interdisciplinary Cycle Research 1987; 18: 297–306
   Google Scholar
• Halberg F., Lee J. K., Nelson W. Time-qualified reference intervals-chronodesms. Experentia 1978; 34: 713–716
   PubMedGoogle Scholar
• Nelson W., Cornelissen G., Hinkley D., Bingham C., Halberg F. Construction of rhythm-specified reference intervals and regions, with emphasis on ‘hybrid’ data, illustrated for plasma Cortisol. Chronobiologia 1983; 10: 179–193
   PubMedGoogle Scholar
• Cugini P., Kawasaki T., Di Palma L., Otsuka R., Uezono K. Innovative criteria for diagnosing arterial hypertension via blood pressure monitoring: the chronodiagnosis. Journal of Health Science 1991; 13: 23–34
   Google Scholar
• Tamura K., Ishii H., Mukaiyama S., Ijiri H., Tsuruta I., Komaya T. Chronobiologic assessment of antihypertensive drug effects. The Statistician 1990; 39: 307–317
   Google Scholar
• Halberg F., Drayer J. I. M., Cornelissen G., Weber M. A. Cardiovascular reference data base for recognizing circadian and amplitude hypertension in apparently healthy men. Chronobiologia 1984; 11: 275–298
   PubMedGoogle Scholar
• Cugini P., Di Palma L. What is normotension? What is hypertension? A cybernetic view from chronobiology. New Trends in Autonomic Nervous System Research, M. Yoshikawa, M. Uono, H. Tanabe, S. Ishikawa. Elsevier Science Publishers B. V., Amsterdam 1991; 567–570
   Google Scholar