Advertisement
Research Article| Volume 136, 155308, November 2022

Joint effect of blood pressure and glycemic variation on the risk of cardiovascular morbidity and mortality in persons with type 2 diabetes

  • Cheng-Chieh Lin
    Affiliations
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan

    Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan

    Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
    Search for articles by this author
  • Chia-Ing Li
    Affiliations
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan

    Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
    Search for articles by this author
  • Ya-Ling Juan
    Affiliations
    Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
    Search for articles by this author
  • Chiu-Shong Liu
    Affiliations
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan

    Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
    Search for articles by this author
  • Chih-Hsueh Lin
    Affiliations
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan

    Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
    Search for articles by this author
  • Shing-Yu Yang
    Affiliations
    Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
    Search for articles by this author
  • Tsai-Chung Li
    Correspondence
    Corresponding author at: China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist., Taichung City 406040, Taiwan.
    Affiliations
    Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan

    Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
    Search for articles by this author
Published:September 01, 2022DOI:https://doi.org/10.1016/j.metabol.2022.155308

      Highlights

      • The effects of BP and glycemic variation were associated with CVD events or death.
      • The joint effects of BP and glycemic variation predicted CVD events or death.
      • Simultaneous measuring BP and glycemic variation may be more precise to stratify persons with cardiovascular risks.

      Abstract

      Objective

      Few studies have explored the association of visit-to-visit variation in blood pressure (BP) and glycemic factors with cardiovascular disease (CVD) morbidity and mortality. This study aimed to examine the independent and joint effect of visit-to-visit BP and glycemic variation on CVD morbidity and mortality in persons with T2DM.

      Methods

      The present study consisted of two retrospective cohort studies. The Taiwan Diabetes Study was based on a database of the National Diabetes Care Management Program (DCMP) and linked with cardiovascular morbidity incidence. The Taichung Diabetes Study was based on the DCMP database of a medical center, which can be linked with the National Death Registry dataset. The outcomes were analyzed by using Cox's proportional hazard models.

      Results

      A total of 13,280 and 10,894 persons with T2DM in Taiwan and Taichung Diabetes Study, respectively, were included. SBP-CV, FPG-CV, and HbA1c-CV were significant predictors of stroke, CVD event or death, all-cause mortality, and expanded CVD mortality, whereas DBP-CV was a significant predictor of all-cause mortality and expanded and non-expanded CVD mortality. The joint effect of SBP, FPG, and HbA1c predicted the incidence of stroke and CVD event or death with increased risks of 16 %–35 %. In addition, the joint effect of SBP, DBP, FPG, and HbA1c was associated with all-cause and expanded CVD mortality with increased risks of 29 %–81 %.

      Conclusions

      The joint effect of BP and glucose variation improved the prediction of cardiovascular morbidity and mortality. Moreover, simultaneous measurement of visit-to-visit BP and glycemic variation may stratify persons with cardiovascular risks and may be regarded as important therapeutic goals in the care of T2DM.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Metabolism - Clinical and Experimental
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • WHO
        The top 10 causes of death.
        2018
        • IDF
        IDF Diabetes Atlas Ninth edition.
        2019
        • Ceriello A.
        • Esposito K.
        • Piconi L.
        • Ihnat M.A.
        • Thorpe J.E.
        • Testa R.
        • et al.
        Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients.
        Diabetes. 2008; 57: 1349-1354
        • Kohnert K.D.
        • Freyse E.J.
        • Salzsieder E.
        Glycaemic variability and pancreatic β-cell dysfunction.
        Curr Diabetes Rev. 2012; 8: 345-354
        • Lin C.C.
        • Chen C.C.
        • Chen F.N.
        • Li C.I.
        • Liu C.S.
        • Lin W.Y.
        • et al.
        Risks of diabetic nephropathy with variation in hemoglobin A1c and fasting plasma glucose.
        Am J Med. 2013; 126: e1-e10
        • Lin C.C.
        • Yang C.P.
        • Li C.I.
        • Liu C.S.
        • Chen C.C.
        • Lin W.Y.
        • et al.
        Visit-to-visit variability of fasting plasma glucose as predictor of ischemic stroke: competing risk analysis in a national cohort of Taiwan diabetes study.
        BMC Med. 2014; 12
        • Nalysnyk L.
        • Hernandez-Medina M.
        • Krishnarajah G.
        Glycaemic variability and complications in patients with diabetes mellitus: evidence from a systematic review of the literature.
        Diabetes Obes Metab. 2010; 12: 288-298
        • Sugawara A.
        • Kawai K.
        • Motohashi S.
        • Saito K.
        • Kodama S.
        • Yachi Y.
        • et al.
        HbA(1c) variability and the development of microalbuminuria in type 2 diabetes: Tsukuba Kawai Diabetes Registry 2.
        Diabetologia. 2012; 55: 2128-2131
        • American Diabetes Association
        Standards of medical care in diabetes-2019 abridged for primary care providers.
        Clin Diabetes. 2019; 37: 11-34
        • IDFGDG
        Global guideline for type 2 diabetes.
        Diabetes Res Clin Pract. 2014; 104: 1-52
        • Wang J.
        • Shi X.
        • Ma C.
        • Zheng H.
        • Xiao J.
        • Bian H.
        • et al.
        Visit-to-visit blood pressure variability is a risk factor for all-cause mortality and cardiovascular disease: a systematic review and meta-analysis.
        J Hypertens. 2017; 35: 10-17
        • Chiriacò M.
        • Pateras K.
        • Virdis A.
        • Charakida M.
        • Kyriakopoulou D.
        • Nannipieri M.
        • et al.
        Association between blood pressure variability, cardiovascular disease and mortality in type 2 diabetes: a systematic review and meta-analysis.
        Diabetes Obes Metab. 2019; 21: 2587-2598
        • Parati G.
        • Ochoa J.E.
        • Salvi P.
        • Lombardi C.
        • Bilo G.
        Prognostic value of blood pressure variability and average blood pressure levels in patients with hypertension and diabetes.
        Diabetes Care. 2013; 36: S312-S324
        • Chen T.T.
        • Chung K.P.
        • Lin I.C.
        • Lai M.S.
        The unintended consequence of diabetes mellitus pay-for-performance (P4P) program in Taiwan: are patients with more comorbidities or more severe conditions likely to be excluded from the P4P program?.
        Health Serv Res. 2011; 46: 47-60
        • Cheng C.L.
        • Kao Y.H.
        • Lin S.J.
        • Lee C.H.
        • Lai M.L.
        Validation of the National Health Insurance Research Database with ischemic stroke cases in Taiwan.
        Pharmacoepidemiol Drug Saf. 2011; 20: 236-242
        • Hirakawa Y.
        • Arima H.
        • Zoungas S.
        • Ninomiya T.
        • Cooper M.
        • Hamet P.
        • et al.
        Impact of visit-to-visit glycemic variability on the risks of macrovascular and microvascular events and all-cause mortality in type 2 diabetes: the ADVANCE trial.
        Diabetes Care. 2014; 37: 2359-2365
        • Bouchi R.
        • Babazono T.
        • Mugishima M.
        • Yoshida N.
        • Nyumura I.
        • KiwakoToya
        • et al.
        Fluctuations in HbA1c are associated with a higher incidence of cardiovascular disease in Japanese patients with type 2 diabetes.
        J Diabetes Investig. 2012; 3: 148-155
        • Prentice J.C.
        • Pizer S.D.
        • Conlin P.R.
        Identifying the independent effect of HbA1c variability on adverse health outcomes in patients with type 2 diabetes.
        Diabet Med. 2016; 33: 1640-1648
        • Wan E.Y.F.
        • Fung C.S.C.
        • Fong D.Y.T.
        • Lam C.L.K.
        Association of variability in hemoglobin A1c with cardiovascular diseases and mortality in chinese patients with type 2 diabetes mellitus - a retrospective population-based cohort study.
        J Diabetes Complications. 2016; 30: 1240-1247
        • Lin C.C.
        • Li C.I.
        • Liu C.S.
        • Lin W.Y.
        • Chen C.C.
        • Yang S.Y.
        • et al.
        Annual fasting plasma glucose variation increases risk of cancer incidence and mortality in patients with type 2 diabetes: the Taichung Diabetes Study.
        Endocr Relat Cancer. 2012; 19: 473-483
        • Lin C.C.
        • Li C.I.
        • Yang S.Y.
        • Liu C.S.
        • Chen C.C.
        • Fuh M.M.T.
        • et al.
        Variation of fasting plasma glucose: a predictor of mortality in patients with type 2 diabetes.
        Am J Med. 2012; 125: e9-e18
        • Xu D.
        • Fang H.
        • Xu W.
        • Yan Y.
        • Liu Y.
        • Yao B.
        Fasting plasma glucose variability and all-cause mortality among type 2 diabetes patients: a dynamic cohort study in Shanghai,China.
        Sci Rep. 2016; 6: 39633
        • Ma W.Y.
        • Li H.Y.
        • Pei D.
        • Hsia T.L.
        • Lu K.C.
        • Tsai L.Y.
        • et al.
        Variability in hemoglobin A1c predicts all-cause mortality in patients with type 2 diabetes.
        J Diabetes Complications. 2012; 26: 296-300
        • Takao T.
        • Matsuyama Y.
        • Yanagisawa H.
        • Kikuchi M.
        • Kawazu S.
        Association between HbA1c variability and mortality in patients with type 2 diabetes.
        J Diabetes Complications. 2014; 28: 494-499
        • Orsi E.
        • Solini A.
        • Bonora E.
        • Fondelli C.
        • Trevisan R.
        • Vedovato M.
        • et al.
        Haemoglobin A1c variability is a strong, independent predictor of all-cause mortality in patients with type 2 diabetes.
        Diabetes Obes Metab. 2018; 20: 1885-1893
        • Critchley J.A.
        • Carey I.M.
        • Harris T.
        • DeWilde S.
        • Cook D.G.
        Variability in glycated hemoglobin and risk of poor outcomes among people with type 2 diabetes in a large primary care cohort study.
        Diabetes Care. 2019; 42: 2237-2246
        • Sheng C.-S.
        • Tian J.
        • Miao Y.
        • Cheng Y.
        • Yang Y.
        • Reaven Peter D.
        • et al.
        Prognostic significance of long-term HbA1c variability for all-cause mortality in the ACCORD Trial.
        Diabetes Care. 2020; 43: 1185-1190
        • Tseng J.-Y.
        • Chen H.-H.
        • Huang K.-C.
        • Hsu S.-P.
        • Chen C.-C.
        Effect of mean HbA1c on the association of HbA1c variability and all-cause mortality in patients with type 2 diabetes.
        Diabetes Obes Metab. 2020; 22: 680-687
        • Hsieh Y.T.
        • Tu S.T.
        • Cho T.J.
        • Chang S.J.
        • Chen J.F.
        • Hsieh M.C.
        Visit-to-visit variability in blood pressure strongly predicts all-cause mortality in patients with type 2 diabetes: a 5.5-year prospective analysis.
        Eur J Clin Invest. 2012; 42: 245-253
        • Hata J.
        • Arima H.
        • Rothwell P.M.
        • Woodward M.
        • Zoungas S.
        • Anderson C.
        • et al.
        Effects of visit-to-visit variability in systolic blood pressure on macrovascular and microvascular complications in patients with type 2 diabetes mellitus: the ADVANCE trial.
        Circulation. 2013; 128: 1325-1334
        • McMullan C.J.
        • Heerspink H.J.L.
        • Parving H.-H.
        • Dwyer J.P.
        • Forman J.P.
        • Zeeuw Dd.
        Visit-to-visit variability in blood pressure and kidney and cardiovascular outcomes in patients with type 2 diabetes and nephropathy: a post hoc analysis from the RENAAL study and the Irbesartan Diabetic Nephropathy Trial.
        Am J Kidney Dis. 2014; 64: 714-722
        • Takao T.
        • Kimura K.
        • Suka M.
        • Yanagisawa H.
        • Kikuchi M.
        • Kawazu S.
        • et al.
        Relationships between the risk of cardiovascular disease in type 2 diabetes patients and both visit-to-visit variability and time-to-effect differences in blood pressure.
        J Diabetes Complications. 2015; 29: 699-706
        • Ohkuma T.
        • Woodward M.
        • Jun M.
        • Muntner P.
        • Hata J.
        • Colagiuri S.
        • et al.
        Prognostic value of variability in systolic blood pressure related to vascular events and premature death in type 2 diabetes mellitus: the ADVANCE-ON study.
        Hypertension. 2017; 70: 461-468
        • Wan E.Y.F.
        • Fung C.S.C.
        • Yu E.Y.T.
        • Fong D.Y.T.
        • Chen J.Y.
        • Lam C.L.K.
        Association of visit-to-visit variability of systolic blood pressure with cardiovascular disease and mortality in primary care chinese patients with type 2 diabetes-a retrospective population-based cohort study.
        Diabetes Care. 2017; 40: 270-279
        • Bell K.J.L.
        • Azizi L.
        • Nilsson P.M.
        • Hayen A.
        • Irwig L.
        • Stgren C.J.O.
        • et al.
        Prognostic impact of systolic blood pressure variability in people with diabetes.
        PloS one. 2018; 13e0194084
        • Yu Z.B.
        • Li D.
        • Chen X.Y.
        • Zheng P.W.
        • Lin H.B.
        • Tang M.L.
        • et al.
        Association of visit-to-visit variability of blood pressure with cardiovascular disease among type 2 diabetes mellitus patients: a cohort study.
        Diabetes Metab J. 2019; 43: 350-367
        • Verlato G.Z.G.
        • Targher G.
        • Bonora E.
        • Muggeo M.T.M.
        Variability of body weight, pulse pressure and glycaemia strongly predict total mortality in elderly type 2 diabetic patients. The Verona Diabetes Study.
        Diabetes Metab Res Rev. 2008; 24: 624-628
        • Takao T.
        • Matsuyama Y.
        • Suka M.
        • Iwamoto H.Y.Y.
        The combined effect of visit-to-visit variability in HbA1c and systolic blood pressure on the incidence of cardiovascular events in patients with type 2 diabetes.
        BMJ Open Diabetes Res Care. 2015; 3e000129
        • Foo V.
        • Quah J.
        • Cheung G.
        • Tan N.C.
        • Zar K.L.M.
        • Chan C.M.
        • et al.
        HbA1c, systolic blood pressure variability and diabetic retinopathy in Asian type 2 diabetics.
        J Diabetes. 2016; 9: 200-207
        • Ceriello A.
        • Cosmo S.D.
        • Rossi M.C.
        • PharmChem Lucisano G.
        • Genovese S.
        • et al.
        Variability in HbA1c, blood pressure, lipid parameters and serum uric acid, and risk of development of chronic kidney disease in type 2 diabetes.
        Diabetes Obes Metab. 2017; 19: 1570-1578
        • Takao T.
        • Suka M.
        • Yanagisawa H.
        • Matsuyama Y.
        • Iwamoto Y.
        Predictive ability of visit-to-visit variability in HbA1c and systolic blood pressure for the development of microalbuminuria and retinopathy in people with type 2 diabetes.
        Diabetes Res Clin Pract. 2017; 128: 15-23
        • Pouvreau C.
        • Dayre A.
        • Butkowski E.G.
        • De Jong B.
        • Jelinek HFJJoir
        Inflammation and Oxidative Stress Markers in Diabetes and Hypertension. 11. 2018: 61
        • Oguntibeju O.O.
        Type 2 diabetes mellitus, oxidative stress and inflammation: examining the links.
        Int JPhysiol Pathophysiol Pharmacol. 2019; 11: 45-63
        • Wellen K.E.
        • Hotamisligil G.S.
        Inflammation, stress, and diabetes.
        J Clin Invest. 2005; 115: 1111-1119
        • Giacco F.
        • Brownlee M.
        Oxidative stress and diabetic complications.
        Circ Res. 2010; 107: 1058-1070
        • Chen S.Y.
        • Hsu Y.M.
        • Lin Y.J.
        • Huang Y.C.
        • Chen C.J.
        • Lin W.D.
        • et al.
        Current concepts regarding developmental mechanisms in diabetic retinopathy in Taiwan.
        Biomedicine. 2016; 6: 7
        • Imai Y.
        • Aihara A.
        • Ohkubo T.
        • Nagai K.
        • Tsuji I.
        • Minami N.
        • et al.
        Factors that affect blood pressure variability. A community-based study in Ohasama, Japan.
        Am J Hypertension. 1997; 10: 1281-1289
        • Hamza S.M.
        • Dyck J.R.
        Systemic and renal oxidative stress in the pathogenesis of hypertension: modulation of long-term control of arterial blood pressure by resveratrol.
        Front Physiol. 2014; 5: 292
        • Grossman E.
        Does increased oxidative stress cause hypertension?.
        Diabetes Care. 2008; 31: S185-S189
        • Su D.F.
        Treatment of hypertension based on measurement of blood pressure variability: lessons from animal studies.
        Curr Opin Cardiol. 2006; 21: 486-491
        • Sueishi K.
        • Ichikawa K.
        • Kato K.
        • Nakagawa K.
        • Chen Y.X.
        Atherosclerosis: coagulation and fibrinolysis.
        Semin Thromb Hemost. 1998; 24: 255-260
        • Mancia G.
        • Grassi G.
        Mechanisms and clinical implications of blood pressure variability.
        J Cardiovasc Pharmacol. 2000; 35: S15-S19
        • Mancia G.
        • Parati G.
        • Di Rienzo M.
        Zanchetti A. Mancia G. Handbook of hypertension. Pathophysiology of hypertension. vol 17. Elsevier Science, Amsterdam1997: 117-169
        • Ferrannini E.
        The phenomenon of insulin resistance: its possible relevance to hypertensive disease.
        in: Hypertension: pathophysiology, diagnosis, and management. 2nd edn. Raven, New York1995: 2281-2300
        • Kozakova M.
        • Natali A.
        • Dekker J.
        • Beck-Nielsen H.
        • Laakso M.
        • Nilsson P.
        • et al.
        Insulin sensitivity and carotid intima-media thickness: relationship between insulin sensitivity and cardiovascular risk study.
        Arterioscler Thromb Vasc Biol. 2013; 33: 1409-1417
        • Somiya H.
        • Tonoue T.
        Neuropeptides as central integrators of autonomic nerve activity: effects of TRH, SRIF, VIP and bombesin on gastric and adrenal nerves.
        Regul Pept. 1984; 9: 47-52
        • Salman I.M.
        Cardiovascular autonomic dysfunction in chronic kidney disease: a comprehensive review.
        Curr Hypertens Rep. 2015; 17: 59
        • Gorst C.
        • Kwok C.S.
        • Aslam S.
        • Buchan I.
        • Kontopantelis E.
        • Myint P.K.
        • et al.
        Long-term glycemic variability and risk of adverse outcomes: a systematic review and meta-analysis.
        Diabetes Care. 2015; 38: 2354-2369
        • Zhao Q.
        • Zhou F.
        • Zhang Y.
        • Zhou X.
        • Ying C.
        Fasting plasma glucose variability levels and risk of adverse outcomes among patients with type 2 diabetes: a systematic review and meta-analysis.
        Diabetes Res Clin Pract. 2019; 148: 23-31