Skip to main content

Advertisement

Log in

Estimating the attributable risk of vascular disorders in different ranges of fasting plasma glucose and assessing the effectiveness of anti-diabetes agents on risk reduction; questioning the current diagnostic criteria

  • Research article
  • Published:
Journal of Diabetes & Metabolic Disorders Aims and scope Submit manuscript

Abstract

Introduction

Attributable risk of cardiovascular disorders (CVDs) and chronic kidney disease (CKD) in association with diabetes and pre-diabetes is under debate. Moreover, the role of anti-diabetes agents in risk reduction of such conditions is obscure. The purpose of this work is to define the population attributable fraction (PAF) of CVDs and CKD in different rages of plasma glucose.

Method

Iranian stepwise approach for surveillance of non-communicable disease risk factors (STEPs) was used to calculate PAF in four subsequent phases. Phase 0: whole population regardless of diagnosis; Phase I: in three CVD risk groups: minimal risk (FPG < 100 mg/dL), low risk (FPG 100–126 mg/dL), and high risk (FPG ≥ 126 mg/dL) groups; Phase II: three diagnostic groups: normal, pre-diabetes, and diabetes; Phase III: diabetes patients either receiving or not receiving anti-diabetes agents.

Result

A total of 19,503 participants [female-to-male ratio 1.17:1] had at least one FPG measurement and were enrolled. Phase 0: PAF of young adults was lower in the general population (PAF range for CVDs 0.05 ─ 0.27 [95% CI 0.00 ─ 0.32]; CKD 0.03 ─ 0.41 [0.00 ─ 0.62]). Phase I: High-risk group comprised the largest attributable risks (0.46 ─ 0.97 [0.32 ─ 1]; 0.74 ─ 0.95 [0.58 ─ 1]) compared to low-risk (0.16 ─ 0.41 [0.04 ─ 0.66]; 0.29 ─ 0.35 [0.07 ─ 0.5]) and minimal risk groups (negligible estimates) with higher values in young adults. Phase II: higher values were detected in younger ages for diabetes (0.38 ─ 0.95 [0.29 ─ 1]; 0.65 ─ 0.94 [0.59 ─ 1] and pre-diabetes patients (0.15 ─ 0.4 [0.13 ─ 0.45]; 0.26 ─ 0.35 [0.22 ─ 0.4]) but not normal counterparts (negligible estimates). Phase III: Similar estimates were found in both treatment (0.31 ─ 0.98 [0.17 ─ 1]; 0.21 ─ 0.93 [0.12 ─ 1]) and drug-naïve (0.39 ─ 0.9 [0.27 ─ 1]; 0.63 ─ 0.97 [0.59 ─ 1]) groups with larger values for younger ages.

Conclusion

Globalized preventions have not effectively controlled the burden of vascular events in Iran. CVDs and CKD PAFs estimated for pre-diabetes were not remarkably different from normal and diabetes counterparts, arguing current diagnostic criteria. Treatment strategies in high-risk groups are believed to be more beneficial. However, the effectiveness of medical interventions for diabetes in controlling CVDs and CKD burden in Iran is questionable.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract 2019;157.

  2. Rahman S, Rahman T, Ismail AA, Rashid AR. Diabetes-associated macrovasculopathy: pathophysiology and pathogenesis. Diabetes Obes Metab. 2007;9(6):767–80.

    Article  CAS  Google Scholar 

  3. American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Supplement 1):S66.

  4. Garofolo M, Gualdani E, Giannarelli R, Aragona M, Campi F, Lucchesi D, et al. Microvascular complications burden (nephropathy, retinopathy and peripheral polyneuropathy) affects risk of major vascular events and all-cause mortality in type 1 diabetes: a 10-year follow-up study. Cardiovasc Diabetol. 2019;18(1):159.

    Article  Google Scholar 

  5. Strain WD, Paldánius PM. Diabetes, cardiovascular disease and the microcirculation. Cardiovasc Diabetol. 2018;17(1):57.

    Article  CAS  Google Scholar 

  6. Shaye K, Amir T, Shlomo S, Yechezkel S. Fasting glucose levels within the high normal range predict cardiovascular outcome. Am Heart J. 2012;164(1):111–6.

    Article  CAS  Google Scholar 

  7. Færch K, Vistisen D, Johansen NB, Jørgensen ME. Cardiovascular risk stratification and management in pre-diabetes. Curr Diab Rep. 2014;14(6):493.

    Article  Google Scholar 

  8. Paneni F, Lüscher TF. Cardiovascular protection in the treatment of type 2 diabetes: a review of clinical trial results across drug classes. Am J Cardiol. 2017;120(1s):S17–s27.

    Article  CAS  Google Scholar 

  9. Djalalinia S, Modirian M, Sheidaei A, Yoosefi M, Zokaiee H, Damirchilu B, et al. Protocol Design for Large-Scale Cross-Sectional Studies of surveillance of risk factors of non-communicable diseases in Iran: STEPs 2016. Arch Iran Med. 2017;20(9):608–16.

    PubMed  Google Scholar 

  10. Farzadfar F, Danaei G, Namdaritabar H, Rajaratnam JK, Marcus JR, Khosravi A, et al. National and subnational mortality effects of metabolic risk factors and smoking in Iran: a comparative risk assessment. Lancet. 2013;381:S47.

    Article  Google Scholar 

  11. Gakidou E, Afshin A, Abajobir AA, Abate KH, Abbafati C, Abbas KM, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2017;390(10100):1345–422.

    Article  Google Scholar 

  12. Rose G. Strategy of prevention: lessons from cardiovascular disease. Br Med J (Clin Res Ed). 1981;282(6279):1847–51.

    Article  CAS  Google Scholar 

  13. Rose G. Sick individuals and sick populations. Int J Epidemiol. 2001;30(3):427–32 discussion 33-4.

    Article  CAS  Google Scholar 

  14. Rose G. Sick individuals and sick populations. Int J Epidemiol. 1985;14(1):32–8.

    Article  CAS  Google Scholar 

  15. Rose G. Sick individuals and sick populations. 1985. Bull World Health Organ. 2001;79(10):990–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Danaei G, et al. Iran in transition. The Lancet. 2019;393(10184):1984–2005.

  17. Mohammadi E, et al. Epidemiologic pattern of cancers in Iran; current knowledge and future perspective. Journal of Diabetes & Metabolic Disorders. 2020:1–5.

  18. Aminorroaya A, et al. Burden of non-communicable diseases in Iran: past, present, and future. Journal of Diabetes & Metabolic Disorders. 2020:1–7.

  19. American Diabetes Association. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Supplement 1):S98.

  20. American Diabetes Association 1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Supplement 1):S7.

  21. Pirani N, Khiavi FF. Population attributable fraction for cardiovascular diseases risk factors in selected countries: a comparative study. Mater Soc. 2017;29(1):35–9.

    Google Scholar 

  22. Sardarinia M, Akbarpour S, Lotfaliany M, Bagherzadeh-Khiabani F, Bozorgmanesh M, Sheikholeslami F, et al. Risk Factors for Incidence of Cardiovascular Diseases and All-Cause Mortality in a Middle Eastern Population over a Decade Follow-up: Tehran Lipid and Glucose Study. PLoS One. 2016;11(12):e0167623-e.

    Article  Google Scholar 

  23. Cavanaugh KL. Health literacy in diabetes care: explanation, evidence and equipment. Diabetes Manag (Lond). 2011;1(2):191–9.

    Article  Google Scholar 

  24. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352(9131):837–53.

  25. Acharya T, Deedwania P. Cardiovascular outcome trials of the newer anti-diabetic medications. Prog Cardiovasc Dis. 2019;62(4):342–8.

    Article  Google Scholar 

  26. Mohseni M, Shams Ghoreishi T, Houshmandi S, Moosavi A, Azami-Aghdash S, Asgarlou Z. Challenges of managing diabetes in Iran: meta-synthesis of qualitative studies. BMC Health Serv Res. 2020;20(1):534.

    Article  Google Scholar 

  27. Noshad S, Afarideh M, Heidari B, Mechanick JI, Esteghamati A. Diabetes Care in Iran: where we stand and where we are headed. Ann Glob Health. 2015;81(6):839–50.

    Article  Google Scholar 

  28. Davari M, Bayazidi Y, Esteghamati A, Larijani B, Kebriaeezadeh A. The prescription pattern of anti-diabetic medication and glycemic control in type 2 diabetes in Iran. A patient-level stud. Diabetes Management. 2020;10(1):1–9.

  29. World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO/IDF consultation. 2006.

  30. Bansal N. Prediabetes diagnosis and treatment: a review. World J Diabetes. 2015;6(2):296–303.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank the other investigators, the staff, and the participants of STEPs 2016 study for the valuable contribution.

Availability of data and material

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

EM performed statistical analysis, interpreted the data and drafted the manuscript. FSM reviewed the literature. SR performed statistical analysis. SA, MA, EG, SSM, MK, and NR critically revised the manuscript and interpreted the data. NF, KJ, and SN reviewed the literature and revised the manuscript. NE and MRK prepared tables and figures and critically revised the manuscript. BL and FF conceptualized the study and are guarantor of this work and had full access to all the data and take responsibility for the integrity and accuracy of all steps.

Corresponding authors

Correspondence to Bagher Larijani or Farshad Farzadfar.

Ethics declarations

Conflict of interest

No conflicts of interest relevant to this study is reported.

Ethics approval

This study has been approved by the ethics committee of Tehran University of Medical Sciences.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Code availability

Not applicable.

Additional information

Publisher’s note

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

Electronic supplementary material

ESM 1

(XLSX 28 kb)

ESM 2

(DOCX 22 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohammadi, E., Morasa, F.S., Roshani, S. et al. Estimating the attributable risk of vascular disorders in different ranges of fasting plasma glucose and assessing the effectiveness of anti-diabetes agents on risk reduction; questioning the current diagnostic criteria. J Diabetes Metab Disord 19, 1423–1430 (2020). https://doi.org/10.1007/s40200-020-00663-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40200-020-00663-5

Keywords

Navigation