Association between non-dipping blood pressure pattern and different glucometabolic profile during oral glucose tolerance test.

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  • Additional Information
    • Source:
      Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE
    • Publication Information:
      Publication: Milan : Springer
      Original Publication: Rome, Italy : CEPI-AIM Group, 2006-
    • Subject Terms:
      Diabetes Mellitus, Type 2*/complications ; Hypertension*/complications; Humans ; Blood Pressure/physiology ; Glucose Tolerance Test ; Circadian Rhythm/physiology ; Blood Pressure Monitoring, Ambulatory ; Glucose
    • Abstract:
      It is known that, a not physiological blood pressure (BP) circadian pattern has been associated with increased risk of organ damage and cardiovascular (CV) event. The aim of this study was to assess the association between circadian BP pattern and glucometabolic phenotypes occurring after oral glucose tolerance test (OGTT). We recruited 810 hypertensive Caucasian patients. All participants underwent to OGTT, laboratory test and 24-h ambulatory BP monitoring (ABPM). The analysis of collected data allowed classifying patients based on nocturnal BP profiles into four categories: dippers, non-dippers, extreme dippers, and reverse dippers. Considering the dipping pattern, the proportion of non-dippers in normal glucose tolerance patients with 1-h glucose ≥ 155 mg/dL (NGT ≥ 155) (36.4%) was higher than NGT < 155 (29.6%) and impaired glucose tolerance (IGT) (34.8%), but lower than type 2 diabetes group (T2DM) (52.6%) (p = 0.001). The proportion of dippers was lower in NGT ≥ 155 (47%) and T2DM (34.6%), when compared with NGT < 155 (53.8%) and IGT (51.2%) (p = 0.017). From logistic regression analysis, 1-h glucose ≥ 155 increased the risk of a pathological nocturnal drop in BP by 74%, (OR = 1.740, 95% CI 1.254-2.415, p < 0.0001). In addition, the improvement in 1 unit of Matsuda was responsible for a 3.5% risk decrease (OR = 0.965, 95% CI 0.958-0.971, p < 0.0001), while e-GFR determined a 0.9% risk reduction of nocturnal BP drop (OR = 0.991, 95% CI 0.984-0.999, p = 0.020). Our data demonstrated the existence, in newly diagnosed hypertensive patients, of an association between circadian BP profile and altered glycemic response during OGTT, in particular NGT ≥ 155 subjects are associated with a non-dipper BP pattern, this is clinically relevant because may explain, at least in part, the increased CV risk in this setting of patients.
      (© 2023. The Author(s).)
    • References:
      Chronobiol Int. 2013 Mar;30(1-2):99-115. (PMID: 23098178)
      PLoS One. 2012;7(9):e44470. (PMID: 23028545)
      Cerebrovasc Dis. 2005;19(5):302-8. (PMID: 15775671)
      Diabetes. 1981 Mar;30(3):219-25. (PMID: 7009270)
      Nutrients. 2022 Mar 18;14(6):. (PMID: 35334956)
      Chronobiol Int. 2013 Mar;30(1-2):17-30. (PMID: 23002916)
      Arch Intern Med. 2011 Jun 27;171(12):1090-8. (PMID: 21709109)
      Diabetes Care. 2011 Oct;34(10):2291-6. (PMID: 21911775)
      Endocrine. 2019 Jun;64(3):525-535. (PMID: 30790176)
      Can J Cardiol. 2020 May;36(5):671-682. (PMID: 32389340)
      Int J Stroke. 2009 Aug;4(4):257-61. (PMID: 19689751)
      Clin J Am Soc Nephrol. 2010 Nov;5(11):1922-7. (PMID: 20595688)
      Atherosclerosis. 2009 Nov;207(1):245-9. (PMID: 19410252)
      Am J Hypertens. 2003 Mar;16(3):209-13. (PMID: 12620699)
      Hypertension. 2001 Oct;38(4):852-7. (PMID: 11641298)
      Am J Hypertens. 2016 Feb;29(2):194-201. (PMID: 26066331)
      Int J Gen Med. 2018 Jun 22;11:241-254. (PMID: 29950885)
      Medicine (Baltimore). 2015 Mar;94(10):e604. (PMID: 25761180)
      Eur J Neurol. 2015 Jun;22(6):1022-5. (PMID: 25614275)
      Blood Press Monit. 2009 Aug;14(4):145-51. (PMID: 19581802)
      Front Med (Lausanne). 2021 Aug 09;8:667522. (PMID: 34434938)
      Hypertension. 2009 Jan;53(1):20-7. (PMID: 19047584)
      Hypertension. 1995 Nov;26(5):808-14. (PMID: 7591022)
      Int J Environ Res Public Health. 2022 Dec 20;20(1):. (PMID: 36612350)
      Am J Physiol Renal Physiol. 2007 Oct;293(4):F974-84. (PMID: 17686957)
      Diabetes Care. 2011 Jun;34(6):1406-11. (PMID: 21515837)
      Hypertens Res. 2014 Feb;37(2):172-8. (PMID: 24048482)
      Diabetes Metab Res Rev. 2007 Oct;23(7):547-50. (PMID: 17311284)
      Sleep Med Rev. 2017 Jun;33:4-16. (PMID: 27076261)
      Diabetes Care. 1999 Sep;22(9):1462-70. (PMID: 10480510)
      Ann Intern Med. 2009 May 5;150(9):604-12. (PMID: 19414839)
      J Hypertens. 2018 Dec;36(12):2284-2309. (PMID: 30379783)
      JAMA. 2013 Sep 4;310(9):959-68. (PMID: 24002282)
      Auton Neurosci. 2001 May 14;88(3):181-6. (PMID: 11474560)
      J Clin Hypertens (Greenwich). 2016 Oct;18(10):994-999. (PMID: 27040465)
      Diabetes Care. 2008 Aug;31(8):1650-5. (PMID: 18487478)
      Front Endocrinol (Lausanne). 2021 Jun 04;12:660793. (PMID: 34149616)
      Diabetes Care. 2019 Jan;42(Suppl 1):S13-S28. (PMID: 30559228)
      Circulation. 2020 Nov 10;142(19):1810-1820. (PMID: 33131317)
      Hypertens Res. 2021 Nov;44(11):1451-1461. (PMID: 34471254)
      J Hum Hypertens. 2013 Jan;27(1):62-70. (PMID: 21900953)
      J Clin Hypertens (Greenwich). 2017 Jul;19(7):713-721. (PMID: 28692165)
      Circulation. 2005 Jul 5;112(1):32-8. (PMID: 15983246)
      Sci Rep. 2016 May 03;6:25410. (PMID: 27139821)
      Clin Exp Hypertens. 2006 Oct;28(7):625-30. (PMID: 17060061)
    • Contributed Indexing:
      Keywords: Blood pressure; Diabetes; Hypertension; Insulin resistance
    • Accession Number:
      IY9XDZ35W2 (Glucose)
    • Publication Date:
      Date Created: 20231006 Date Completed: 20240131 Latest Revision: 20240202
    • Publication Date:
      20240202
    • Accession Number:
      PMC10827950
    • Accession Number:
      10.1007/s11739-023-03442-1
    • Accession Number:
      37801209