Managing patients with prediabetes and type 2 diabetes after coronary events: individual tailoring needed - a cross-sectional study

John Munkhaugen, Jøran Hjelmesæth, Jan Erik Otterstad, Ragnhild Helseth, Stina Therese Sollid, Erik Gjertsen, Lars Gullestad, Joep Perk, Torbjørn Moum, Einar Husebye, Toril Dammen, John Munkhaugen, Jøran Hjelmesæth, Jan Erik Otterstad, Ragnhild Helseth, Stina Therese Sollid, Erik Gjertsen, Lars Gullestad, Joep Perk, Torbjørn Moum, Einar Husebye, Toril Dammen

Abstract

Background: Understanding the determinants associated with prediabetes and type 2 diabetes in coronary patients may help to individualize treatment and modelling interventions. We sought to identify sociodemographic, medical and psychosocial factors associated with normal blood glucose (HbA1c < 5.7%), prediabetes (HbA1c 5.7-6.4%), and type 2 diabetes.

Methods: A cross-sectional explorative study applied regression analyses to investigate the factors associated with glycaemic status and control (HbA1c level) in 1083 patients with myocardial infarction and/or a coronary revascularization procedure. Data were collected from hospital records at the index event and from a self-report questionnaire and clinical examination with blood samples at 2-36 months follow-up.

Results: In all, 23% had type 2 diabetes, 44% had prediabetes, and 33% had normal blood glucose at follow-up. In adjusted analyses, type 2 diabetes was associated with larger waist circumference (Odds Ratio 1.03 per 1.0 cm, p = 0.001), hypertension (Odds Ratio 2.7, p < 0.001), lower high-density lipoprotein cholesterol (Odds Ratio 0.3 per1.0 mmol/L, p = 0.002) and insomnia (Odds Ratio 2.0, p = 0.002). In adjusted analyses, prediabetes was associated with smoking (Odds Ratio 3.3, p = 0.001), hypertension (Odds Ratio 1.5, p = 0.03), and non-participation in cardiac rehabilitation (Odds Ratio 1.7, p = 0.003). In patients with type 2 diabetes, a higher HbA1c level was associated with ethnic minority background (standardized beta [β] 0.19, p = 0.005) and low drug adherence (β 0.17, p = 0.01). In patients with prediabetes or normal blood glucose, a higher HbA1c was associated with larger waist circumference (β 0.13, p < 0.001), smoking (β 0.18, p < 0.001), hypertension (β 0.08, p = 0.04), older age (β 0.16, p < 0.001), and non-participation in cardiac rehabilitation (β 0.11, p = 0.005).

Conclusions: Along with obesity and hypertension, insomnia and low drug adherence were the major modifiable factors associated with type 2 diabetes, whereas smoking and non-participation in cardiac rehabilitation were the factors associated with prediabetes. Further research on the effect of individual tailoring, addressing the reported significant predictors of failure, is needed to improve glycaemic control.

Trial registration: Retrospectively registered at ClinicalTrials.gov: NCT02309255 , December 5th 2014.

Keywords: Coronary heart disease; Glycaemic control; HbA1c; Prediabetes; Psychosocial factors; Risk factor control; Secondary prevention; Type 2 diabetes.

Conflict of interest statement

The study was approved by the Regional Committee for Medical and Health Research Ethics of the South East Region A in Norway (reference number 2013/1885) on the 12th of February, 2014 and is in accordance with the ethical principles for medical research involving human subjects outlined in the Helsinki Declaration. Written informed consent was obtained from all patients prior to study participation.

Not applicable

The authors declare that they have no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

    1. Gregg EW, Cheng YJ, Narayan KM, Thompson TJ, Williamson DF. The relative contributions of different levels of overweight and obesity to the increased prevalence of diabetes in the United States: 1976-2004. Prev Med. 2007;45:348–352. doi: 10.1016/j.ypmed.2007.07.020.
    1. Donahoe SM, Stewart GC, McCabe CH, Mohanavelu S, Murphy SA, Cannon CP, Antman EM. Diabetes and mortality following acute coronary syndromes. JAMA. 2007;298:765–775. doi: 10.1001/jama.298.7.765.
    1. Sabanayagam C, Liew G, Tai ES, Shankar A, Lim SC, Subramaniam T, Wong TY. Relationship between glycated haemoglobin and microvascular complications: is there a natural cut-off point for the diagnosis of diabetes? Diabetologia. 2009;52:1279–1289. doi: 10.1007/s00125-009-1360-5.
    1. Singer DE, Nathan DM, Anderson KM, Wilson PW, Evans JC. Association of HbA1c with prevalent cardiovascular disease in the original cohort of the Framingham heart study. Diabetes. 1992;41:202–208. doi: 10.2337/diab.41.2.202.
    1. Hayward RA, Reaven PD, Wiitala WL, Bahn GD, Reda DJ, Ge L, McCarren M, Duckworth WC, Emanuele NV, Investigators V. Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;372:2197–2206. doi: 10.1056/NEJMoa1414266.
    1. Fox CS, Golden SH, Anderson C, Bray GA, Burke LE, de Boer IH, Deedwania P, Eckel RH, Ershow AG, Fradkin J, et al. Update on prevention of cardiovascular disease in adults with type 2 diabetes mellitus in light of recent evidence. Diabetes Care. 2015;38:1777–1803. doi: 10.2337/dci15-0012.
    1. American Diabetes Association Classification and Diagnosis of Diabetes. Diabetes Care. 2017;40:S11–s24. doi: 10.2337/dc17-S005.
    1. American Diabetes Association. Standards of medical care in diabetes-2011. Diabetes Care. 2011;34 Suppl 1:S11–S61.
    1. Huang Y, Cai X, Mai W, Li M, Hu Y. Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis. BMJ. 2016;355:i5953. doi: 10.1136/bmj.i5953.
    1. Gillies CL, Abrams KR, Lambert PC, Cooper NJ, Sutton AJ, Hsu RT, Khunti K. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ. 2007;334:299. doi: 10.1136/bmj.39063.689375.55.
    1. Aikens JE. Prospective associations between emotional distress and poor outcomes in type 2 diabetes. Diabetes Care. 2012;35:2472–2478. doi: 10.2337/dc12-0181.
    1. Aghili R, Polonsky WH, Valojerdi AE, Malek M, Keshtkar AA, Esteghamati A, Heyman M, Khamseh ME. Type 2 diabetes: model of factors associated with glycemic control. Can J Diabetes. 2016;40:424–430. doi: 10.1016/j.jcjd.2016.02.014.
    1. Fisher L, Mullan JT, Arean P, Glasgow RE, Hessler D, Masharani U. Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care. 2010;33:23–28. doi: 10.2337/dc09-1238.
    1. Munkhaugen J, Sverre E, Peersen K, Gjertsen E, Gullestad L, Moum T, Otterstad JE, Perk J, Husebye E, Dammen T. The role of medical and psychosocial factors for unfavourable coronary risk factor control. Scand Cardiovasc J. 2015;50:1–32. doi: 10.3109/14017431.2015.1111408.
    1. Statistics Norway. (Accessed 25 Apr 2017) and (Date of origination: July, 2013. Accessed 25 May 2016).
    1. Peersen K, Munkhaugen J, Gullestad L, Dammen T, Moum T, Otterstad JE. Reproducibility of an extensive self-report questionnaire used in secondary coronary prevention. Scand J Public Health. 2017;45:269–276. doi: 10.1177/1403494816688375.
    1. Kurtze N, Rangul V, Hustvedt BE, Flanders WD. Reliability and validity of self-reported physical activity in the Nord-Trøndelag health study: HUNT 1. Scand J Public Health. 2008;36:52–61. doi: 10.1177/1403494807085373.
    1. Okwechime IO, Roberson S, Odoi A. Prevalence and predictors of pre-diabetes and diabetes among adults 18 years or older in Florida: a multinomial logistic modeling approach. PLoS One. 2015;10:e0145781. doi: 10.1371/journal.pone.0145781.
    1. Kirk JK, Bell RA, Bertoni AG, Arcury TA, Quandt SA, Goff DC, Jr, Narayan KM. Ethnic disparities: control of glycemia, blood pressure, and LDL cholesterol among US adults with type 2 diabetes. Ann Pharmacother. 2005;39:1489–1501. doi: 10.1345/aph.1E685.
    1. Ibanez B, James S, Agewall S, Antunes MJ, Bucciarelli-Ducci C, Bueno H, Caforio ALP, Crea F, Goudevenos JA, Halvorsen S, et al. 2017 ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation. Eur Heart J. 2018;39:119–177. doi: 10.1093/eurheartj/ehx393.
    1. Anderson JL, Adams CD, Antman EM, Bridges CR, Califf RM, Casey DE, Jr, Chavey WE, 2nd, Fesmire FM, Hochman JS, Levin TN, et al. 2012 ACCF/AHA focused update incorporated into the ACCF/AHA 2007 guidelines for the management of patients with unstable angina/non-ST-elevation myocardial infarction. J Am Coll Cardiol. 2013;61:e179–e347. doi: 10.1016/j.jacc.2013.01.014.
    1. Marfella R, Rizzo MR, Siniscalchi M, Paolisso P, Barbieri M, Sardu C, Savinelli A, Angelico N, Del Gaudio S, Esposito N, et al. Peri-procedural tight glycemic control during early percutaneous coronary intervention up-regulates endothelial progenitor cell level and differentiation during acute ST-elevation myocardial infarction: effects on myocardial salvage. Int J Cardiol. 2013;168:3954–3962. doi: 10.1016/j.ijcard.2013.06.053.
    1. Lenzen M, Ryden L, Ohrvik J, Bartnik M, Malmberg K, Scholte Op Reimer W, Simoons ML. Diabetes known or newly detected, but not impaired glucose regulation, has a negative influence on 1-year outcome in patients with coronary artery disease. Eur Heart J. 2006;27:2969–2974. doi: 10.1093/eurheartj/ehl363.
    1. Norhammar A, Malmberg K, Diderholm E, Lagerqvist B, Lindahl B, Ryden L, Wallentin L. Diabetes mellitus: the major risk factor in unstable coronary artery disease even after consideration of the extent of coronary artery disease and benefits of revascularization. J Am Coll Cardiol. 2004;43:585–591. doi: 10.1016/j.jacc.2003.08.050.
    1. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC, Jr, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation. 2005;112:2735–2752. doi: 10.1161/CIRCULATIONAHA.105.169404.
    1. Creager MA, Luscher TF, Cosentino F, Beckman JA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part I. Circulation. 2003;108:1527–1532. doi: 10.1161/01.CIR.0000091257.27563.32.
    1. Balestrieri ML, Rizzo MR, Barbieri M, Paolisso P, D'Onofrio N, Giovane A, Siniscalchi M, Minicucci F, Sardu C, D'Andrea D, et al. Sirtuin 6 expression and inflammatory activity in diabetic atherosclerotic plaques: effects of incretin treatment. Diabetes. 2015;64:1395–1406. doi: 10.2337/db14-1149.
    1. Iannaccone M, Quadri G, Taha S, D'Ascenzo F, Montefusco A, Omede’ P, Jang IK, Niccoli G, Souteyrand G, Yundai C, et al. Prevalence and predictors of culprit plaque rupture at OCT in patients with coronary artery disease: a meta-analysis. Eur Heart J Cardiovasc Imaging. 2016;17:1128–1137. doi: 10.1093/ehjci/jev283.
    1. Marfella R, Ferraraccio F, Rizzo MR, Portoghese M, Barbieri M, Basilio C, Nersita R, Siniscalchi LI, Sasso FC, Ambrosino I, et al. Innate immune activity in plaque of patients with untreated and L-thyroxine-treated subclinical hypothyroidism. J Clin Endocrinol Metab. 2011;96:1015–1020. doi: 10.1210/jc.2010-1382.
    1. Marfella R, Sardu C, Calabrò P, Siniscalchi M, Minicucci F, Signoriello G, Balestrieri ML, Mauro C, Rizzo MR, Paolisso G, et al. Non-ST-elevation myocardial infarction outcomes in patients with type 2 diabetes with non-obstructive coronary artery stenosis: effects of incretin treatment. Diabetes Obes Metab. 2018;20:723–729. doi: 10.1111/dom.13122.
    1. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med. 2008;358:580–591. doi: 10.1056/NEJMoa0706245.
    1. Ofori SN, Kotseva K. Comparison of treatment outcomes in patients with and without diabetes mellitus attending a multidisciplinary cardiovascular prevention programme (a retrospective analysis of the EUROACTION trial) BMC Cardiovasc Disord. 2015;15:11–17. doi: 10.1186/s12872-015-0006-4.
    1. Peersen K, Munkhaugen J, Gullestad L, Liodden T, Moum T, Dammen T, Perk J, Otterstad JE. The role of cardiac rehabilitation in secondary prevention after coronary events. Eur J Prev Cardiol. 2017;24:1360–1368. doi: 10.1177/2047487317719355.
    1. Roy T, Lloyd CE. Epidemiology of depression and diabetes: a systematic review. J Affect Disord 2012;142 Suppl:S8–21.
    1. Deschenes SS, Burns RJ, Graham E, Schmitz N. Prediabetes, depressive and anxiety symptoms, and risk of type 2 diabetes. A community-based cohort study. J Psychosom Res. 2016;89:85–90. doi: 10.1016/j.jpsychores.2016.08.011.
    1. Murphy BM, Elliott PC, Higgins RO, Le Grande MR, Worcester MU, Goble AJ, Tatoulis J. Anxiety and depression after coronary artery bypass graft surgery: most get better, some get worse. Eur J Cardiovasc Prev Rehabil. 2008;15:434–440. doi: 10.1097/HJR.0b013e3282fbc945.
    1. Wong EM, Afshar R, Qian H, Zhang M, Elliott TG, Tang TS. Diabetes distress, depression and glycemic control in a Canadian-based specialty care setting. Can J Diabetes. 2017;41:362–365. doi: 10.1016/j.jcjd.2016.11.006.
    1. Morin CM, LeBlanc M, Daley M, Gregoire JP, Merette C. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006;7:123–130. doi: 10.1016/j.sleep.2005.08.008.
    1. Zhu B, Hershberger PE, Kapella MC, Fritschi C. The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: an integrative review. J Clin Nurs. 2017;26:4053–4064. doi: 10.1111/jocn.13899.
    1. Tan X, van Egmond L, Chapman CD, Cedernaes J, Benedict C. Aiding sleep in type 2 diabetes: therapeutic considerations. Lancet Diabetes Endocrinol. 2017;6:60–68. doi: 10.1016/S2213-8587(17)30233-4.
    1. Khan MS, Aouad R. The effects of insomnia and sleep loss on cardiovascular disease. Sleep Med Clin. 2017;12:167–177. doi: 10.1016/j.jsmc.2017.01.005.
    1. Engeda J, Mezuk B, Ratliff S, Ning Y. Association between duration and quality of sleep and the risk of pre-diabetes: evidence from NHANES. Diabet Med. 2013;30:676–680. doi: 10.1111/dme.12165.
    1. Kowall B, Lehnich AT, Strucksberg KH, Fuhrer D, Erbel R, Jankovic N, Moebus S, Jockel KH, Stang A. Associations among sleep disturbances, nocturnal sleep duration, daytime napping, and incident prediabetes and type 2 diabetes: the Heinz Nixdorf recall study. Sleep Med. 2016;21:35–41. doi: 10.1016/j.sleep.2015.12.017.
    1. Wandell PE, Carlsson A, Steiner KH. Prevalence of diabetes among immigrants in the Nordic countries. Curr Diabetes Rev. 2010;6:126–133. doi: 10.2174/157339910790909404.
    1. Kumar BN, Selmer R, Lindman AS, Tverdal A, Falster K, Meyer HE. Ethnic differences in SCORE cardiovascular risk in Oslo, Norway. Eur J Cardiovasc Prev Rehabil. 2009;16:229–234. doi: 10.1097/HJR.0b013e3283294b07.
    1. Wilkinson E, Waqar M, Sinclair A, Randhawa G. Meeting the challenge of diabetes in ageing and diverse populations: a review of the literature from the UK. J Diabetes Res. 2016;2016:8030627. doi: 10.1155/2016/8030627.
    1. Kotseva K, Wood D, De Bacquer D, De Backer G, Ryden L, Jennings C, Gyberg V, Amouyel P, Bruthans J, Castro Conde A, et al. EUROASPIRE IV: a European Society of Cardiology survey on the lifestyle, risk factor and therapeutic management of coronary patients from 24 European countries. Eur J Prev Cardiol. 2016;23:636–648. doi: 10.1177/2047487315569401.
    1. Gyberg V, De Bacquer D, De Backer G, Jennings C, Kotseva K, Mellbin L, Schnell O, Tuomilehto J, Wood D, Ryden L, et al. Patients with coronary artery disease and diabetes need improved management: a report from the EUROASPIRE IV survey. Cardiovasc Diabetol. 2015;14:133. doi: 10.1186/s12933-015-0296-y.
    1. WHO Guidelines Approved by the Guidelines Review Committee . Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus: Abbreviated Report of a WHO Consultation. Geneva: World Health Organization; 2011.

Source: PubMed

3
S'abonner