DOI QR코드

DOI QR Code

Time points for obtaining representative values of 24-hour blood pressure in chronic kidney disease

  • Ryu, Jiwon (Department of Internal Medicine, Hallym University College of Medicine) ;
  • Cha, Ran-hui (Department of Internal Medicine, National Medical Center) ;
  • Kim, Dong Ki (Department of Internal Medicine, Soonchunhyang University College of Medicine) ;
  • Lee, Ju Hyun (Medical Research Collaborating Center, Seoul National University Bundang Hospital) ;
  • Yoon, Sun Ae (Department of Internal Medicine, College of Medicine, Uijeongbu St. Mary's Hospital, The Catholic University of Korea) ;
  • Ryu, Dong Ryeol (Department of Internal Medicine, Ewha Womans University School of Medicine) ;
  • Oh, Jieun (Department of Internal Medicine, Hallym University College of Medicine) ;
  • Kim, Sejoong (Medical Research Collaborating Center, Seoul National University Bundang Hospital) ;
  • Han, Sang-Youb (Department of Internal Medicine, Inje University College of Medicine) ;
  • Lee, Eun Young (Department of Internal Medicine, Soonchunhyang University College of Medicine) ;
  • Kim, Yon Su (Department of Internal Medicine, Seoul National University College of Medicine)
  • 투고 : 2014.04.20
  • 심사 : 2014.07.31
  • 발행 : 2015.09.01

초록

Background/Aims: Ambulatory blood pressure (BP) monitoring has been widely recommended for evaluating the status of BP, but is lacking in practicality. Determination of the specific time points for BP measurement that are representative of 24-hour mean BP could be useful and convenient in hypertensive patients with chronic kidney disease (CKD). Methods: A total of 1,317 patients for whom 24-hour ambulatory BP monitoring was performed were enrolled in a multicenter study on hypertensive CKD. We analyzed the time points at which systolic blood pressure (SBP) values exhibited the smallest differences from 24-hour mean SBP (mSBP). We included office mSBP and analyzed the relationships between SBPs at the office and the time points with the smallest differences from 24-hour mSBP using several methods. Results: The time points with the smallest differences from 24-hour mSBP were 7:00 AM, 2:00 PM, and 9:30 PM. In regression analysis, SBPs at 7:00 AM and 9:30 PM were better correlated with 24-hour mSBP than SBPs at 2:00 PM and the office. The proportions of patients with SBPs within 30% of 24-hour mSBP were higher at 7:00 AM and 9:30 PM. The best consistency between the uncontrolled hypertensive groups, defined as ${\geq}135mmHg$ of 24-hour mSBP and higher values of SBPs corresponding to 135 mmHg of 24-hour mSBP, were observed at the 7:00 AM and 9:30 PM time points. Conclusions: The specific time points for SBPs that correlated well with 24-hour mSBP in hypertensive CKD patients were 7:00 AM and 9:30 PM.

키워드

참고문헌

  1. Clement DL, De Buyzere ML, De Bacquer DA, et al. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med 2003;348:2407-2415. https://doi.org/10.1056/NEJMoa022273
  2. Agarwal R, Andersen MJ. Correlates of systolic hyperten-sion in patients with chronic kidney disease. Hypertension 2005;46:514-520. https://doi.org/10.1161/01.HYP.0000178102.85718.66
  3. Hanratty R, Chonchol M, Havranek EP, et al. Relationship between blood pressure and incident chronic kidney disease in hypertensive patients. Clin J Am Soc Nephrol 2011;6:2605-2611. https://doi.org/10.2215/CJN.02240311
  4. Gabbai FB, Rahman M, Hu B, et al. Relationship between ambulatory BP and clinical outcomes in patients with hypertensive CKD. Clin J Am Soc Nephrol 2012;7:1770-1776. https://doi.org/10.2215/CJN.11301111
  5. Jin DC. Current status of dialysis therapy in Korea. Korean J Intern Med 2011;26:123-131. https://doi.org/10.3904/kjim.2011.26.2.123
  6. Mancia G, Fagard R, Narkiewicz K, et al. 2013 ESH/ESC Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens 2013;31:1281-1357. https://doi.org/10.1097/01.hjh.0000431740.32696.cc
  7. Omvik P, Gerhardsen G. The Norwegian office-, home-, and ambulatory blood pressure study (NOHA). Blood Press 2003;12:211-219. https://doi.org/10.1080/08037050310015863
  8. Pickering TG, Hall JE, Appel LJ, et al. 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 2005;45:142-161. https://doi.org/10.1161/01.HYP.0000150859.47929.8e
  9. Pickering TG, Miller NH, Ogedegbe G, et al. Call to action on use and reimbursement for home blood pressure monitoring: executive summary: a joint scientific statement from the American Heart Association, American Society Of Hypertension, and Preventive Cardiovascular Nurses Association. Hypertension 2008;52:1-9. https://doi.org/10.1161/HYPERTENSIONAHA.107.189011
  10. Verberk WJ, Kroon AA, Kessels AG, de Leeuw PW. Home blood pressure measurement: a systematic review. J Am Coll Cardiol 2005;46:743-751. https://doi.org/10.1016/j.jacc.2005.05.058
  11. Alborzi P, Patel N, Agarwal R. Home blood pressures are of greater prognostic value than hemodialysis unit recordings. Clin J Am Soc Nephrol 2007;2:1228-1234. https://doi.org/10.2215/CJN.02250507
  12. Parati G, Stergiou GS, Asmar R, et al. European Society of Hypertension guidelines for blood pressure monitoring at home: a summary report of the Second International Consensus Conference on Home Blood Pressure Monitoring. J Hypertens 2008;26:1505-1526. https://doi.org/10.1097/HJH.0b013e328308da66
  13. Ogihara T, Kikuchi K, Matsuoka H, et al. The Japanese Society of Hypertension guidelines for the management of hypertension (JSH 2009). Hypertens Res 2009;32:3-107.
  14. Cha RH, Kim S, Ae Yoon S, et al. Association between blood pressure and target organ damage in patients with chronic kidney disease and hypertension: results of the APrODiTe study. Hypertens Res 2014;37:172-178. https://doi.org/10.1038/hr.2013.127
  15. Fagard R, Brguljan J, Thijs L, Staessen J. Prediction of the actual awake and asleep blood pressures by various methods of 24 h pressure analysis. J Hypertens 1996;14:557-563. https://doi.org/10.1097/00004872-199605000-00003
  16. Ohkubo T, Imai Y, Tsuji I, et al. Home blood pressure measurement has a stronger predictive power for mortality than does screening blood pressure measurement: a population-based observation in Ohasama, Japan. J Hypertens 1998;16:971-975. https://doi.org/10.1097/00004872-199816070-00010
  17. Hozawa A, Ohkubo T, Nagai K, et al. Prognosis of isolated systolic and isolated diastolic hypertension as assessed by self-measurement of blood pressure at home: the Ohasama study. Arch Intern Med 2000;160:3301-3306. https://doi.org/10.1001/archinte.160.21.3301
  18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-310.
  19. Passing H, Bablok. A new biometrical procedure for testing the equality of measurements from two different analytical methods: application of linear regression procedures for method comparison studies in clinical chemistry, part I. J Clin Chem Clin Biochem 1983;21:709-720.
  20. Obara T, Ohkubo T, Funahashi J, et al. Isolated uncontrolled hypertension at home and in the office among treated hypertensive patients from the J-HOME study. J Hypertens 2005;23:1653-1660. https://doi.org/10.1097/01.hjh.0000178334.33352.56
  21. Stergiou GS, Skeva II, Zourbaki AS, Mountokalakis TD. Self-monitoring of blood pressure at home: how many measurements are needed? J Hypertens 1998;16:725-731. https://doi.org/10.1097/00004872-199816060-00002
  22. Stergiou GS, Parati G. The optimal schedule for self-monitoring of blood pressure by patients at home. J Hypertens 2007;25:1992-1997. https://doi.org/10.1097/HJH.0b013e3282efc17d
  23. Agarwal R, Light RP. Physical activity and hemodynamic reactivity in chronic kidney disease. Clin J Am Soc Nephrol 2008;3:1660-1668. https://doi.org/10.2215/CJN.02920608
  24. Singh S. Etiology and management of hypertension in chronic kidney disease. Clin Queries Nephrol 2012;1:259-267. https://doi.org/10.1016/j.cqn.2012.09.007
  25. Imai Y, Nishiyama A, Sekino M, et al. Characteristics of blood pressure measured at home in the morning and in the evening: the Ohasama study. J Hypertens 1999;17:889-898. https://doi.org/10.1097/00004872-199917070-00004
  26. Ohkubo T, Asayama K, Kikuya M, et al. How many times should blood pressure be measured at home for better prediction of stroke risk? Ten-year follow-up results from the Ohasama study. J Hypertens 2004;22:1099-1104. https://doi.org/10.1097/00004872-200406000-00009
  27. Andersen MJ, Khawandi W, Agarwal R. Home blood pressure monitoring in CKD. Am J Kidney Dis 2005;45:994-1001. https://doi.org/10.1053/j.ajkd.2005.02.015

피인용 문헌

  1. Changes of blood pressure patterns and target organ damage in patients with chronic kidney disease: results of the APrODiTe-2 study vol.35, pp.3, 2015, https://doi.org/10.1097/hjh.0000000000001185
  2. Physician perceptions of blood pressure control in patients with chronic kidney disease and target blood pressure achievement rate vol.36, pp.4, 2015, https://doi.org/10.23876/j.krcp.2017.36.4.349
  3. Association of Blood Pressure at Specific Time-Points with 1-Year Renal Outcomes in Patients with Diabetic Chronic Kidney Disease vol.17, pp.2, 2019, https://doi.org/10.5049/ebp.2019.17.2.36
  4. The influence of blood pressure patterns on renal outcomes in patients with chronic kidney disease : The long-term follow up result of the APrODiTe-2 study vol.99, pp.8, 2015, https://doi.org/10.1097/md.0000000000019209
  5. Association of ambulatory blood pressure monitoring with renal outcome in patients with chronic kidney disease vol.39, pp.1, 2015, https://doi.org/10.23876/j.krcp.19.103