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. 2016 Jul;13(4):250-9.
doi: 10.1177/1479164116629353. Epub 2016 Apr 21.

Risk stratification for 25-year cardiovascular disease incidence in type 1 diabetes: Tree-structured survival analysis of the Pittsburgh Epidemiology of Diabetes Complications study

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Risk stratification for 25-year cardiovascular disease incidence in type 1 diabetes: Tree-structured survival analysis of the Pittsburgh Epidemiology of Diabetes Complications study

Rachel G Miller et al. Diab Vasc Dis Res. 2016 Jul.

Abstract

Background: The formal identification of subgroups with varying levels of risk is uncommon in observational studies of cardiovascular disease, although such insight might be useful for clinical management.

Methods: Tree-structured survival analysis was utilized to determine whether there are meaningful subgroups at varying levels of cardiovascular disease risk in the Pittsburgh Epidemiology of Diabetes Complications study, a prospective cohort study of childhood-onset (<17 years old) type 1 diabetes.

Results: Of the 561 participants free of cardiovascular disease (coronary artery disease, stroke or lower extremity arterial disease) at baseline, 263 (46.9%) had an incident cardiovascular disease event over the 25-year follow-up. Tree-structured survival analysis revealed a range of risk groups, from 24% to 85%, which demonstrate that those with short diabetes duration and elevated non-high-density lipoprotein cholesterol have similar cardiovascular disease risk to those with long diabetes duration and that renal disease is a better discriminator of risk in men than in women.

Conclusion: Our findings suggest that subgroups with major cardiovascular disease risk differences exist in this type 1 diabetes cohort. Using tree-structured survival analysis may help to identify these groups and the interrelationships between their associated risk factors. This approach may improve our understanding of various clinical pathways to cardiovascular disease and help target intervention strategies.

Keywords: Decision trees; cardiovascular disease; risk stratification; type 1 diabetes.

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Conflict of interest statement

CONFLICTS OF INTEREST:

Trevor J. Orchard provides consulting for Eli Lilly and Company and Profil Institute for Clinical Research. The other authors have no potential conflicts to declare.

Figures

Figure 1
Figure 1
Survival Tree for the 25-year Incidence of Total Cardiovascular Disease in the Pittsburgh EDC Study Overall Cohort
Figure 2
Figure 2. Kaplan Meier Survivial Curves for the 25-Year Incidence of Total Cardiovascular Disease by Risk Groups Identified by Tree-Structured Survival Analysis
aGroup A=Diabetes duration<20.9years, nonHDL-cholesterol<132.5mg/dl bGroup B=Diabetes duration<20.9years, nonHDL-cholesterol≥132.5mg/dl cGroup C=Diabetes duration≥20.9years, albumin excretion rate<91.7μg/min, white cell count <7.15 ×103/μl dGroup D=Diabetes duration≥20.9years, albumin excretion rate<91.7μg/min, white cell count ≥7.15 ×103/μl eGroup E=Diabetes duration≥20.9years, albumin excretion rate≥91.7μg/min
Figure 3
Figure 3
Survival Trees for the 25-Year Incidence of Total Cardiovascular Disease: A) Women, B) Men, C) Type 1 Diabetes Diagnosed 1950–1964, D) Type 1 Diabetes Diagnosed 1965–1980
Figure 4
Figure 4
Survival Trees for the 25-Year Incidence of the Specific Manifestations of Cardiovascular Disease: A) Cardiovascular Mortality, B) Coronary Artery Disease, C) Stroke, D) Lower Extremity Arterial Disease

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References

    1. Orchard TJ, Costacou T. When are type 1 diabetic patients at risk for cardiovascular disease? Curr Diab Rep. 2010 Mar;10(1):48–54. - PubMed
    1. Vergouwe Y, Soedamah-Muthu SS, Zgibor J, et al. Progression to microalbuminuria in type 1 diabetes: development and validation of a prediction rule. Diabetologia. 2010 Feb;53(2):254–62. - PMC - PubMed
    1. Nathan DM, McGee P, Steffes MW, et al. Relationship of Glycated Albumin to Blood Glucose and Glycated Hemoglobin (HbA1C) Values and to Retinopathy, Nephropathy and Cardiovascular Outcomes in the DCCT/EDIC Study. Diabetes. 2014 Aug 29;63(1):282–90. - PMC - PubMed
    1. Lloyd CE, Kuller LH, Ellis D, et al. Coronary Artery Disease in IDDM: Gender differences in risk factors, but not risk. Arterioscler Thromb Vasc Biol. 1996;16(6):720–26. - PubMed
    1. Kalyani RR, Lazo M, Ouyang P, et al. Gender Differences in Diabetes and Risk of Incident Coronary Artery Disease in Healthy Young and Middle-Aged Adults. Diabetes Care. 2014;37(3):830–38. - PMC - PubMed

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