Literature DB >> 20980413

Untreated type 2 diabetes and its complications are associated with subcortical infarctions.

Rosebud O Roberts1, Kejal Kantarci, Yonas E Geda, David S Knopman, Scott A Przybelski, Stephen D Weigand, Ronald C Petersen, Clifford R Jack.   

Abstract

OBJECTIVE: To investigate the association of type 2 diabetes with subcortical infarctions. RESEARCH DESIGN AND METHODS: We investigated this association in subjects with type 2 diabetes (case subjects; n = 93) and without type 2 diabetes (control subjects; n = 186), matched by age, sex, and years of education. Participants were a subset of the Mayo Clinic Study of Aging (median age 79 years) who had undergone magnetic resonance imaging.
RESULTS: The frequency of subcortical infarctions was 39% in case subjects and 29% in control subjects (odds ratio 1.59 [95% CI 0.91-2.75]). The association was stronger in case subjects without treatment (2.60 [1.11-6.08]) and in case subjects with diabetes-related complications (1.96 [1.02-3.74]) compared with control subjects.
CONCLUSIONS: These findings suggest that untreated type 2 diabetes and type 2 diabetes with complications are associated with subcortical infarctions.

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Mesh:

Year:  2010        PMID: 20980413      PMCID: PMC3005470          DOI: 10.2337/dc10-0602

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Type 2 diabetes is associated with an increased risk of stroke (1), silent infarctions (2), cognitive impairment (3,4), and dementia (5). Few studies have examined the associations with magnetic resonance imaging (MRI) measures of cerebrovascular disease among individuals randomly selected from the population (2,6). The objective of our study was to investigate the association of type 2 diabetes with subcortical infarctions.

RESEARCH DESIGN AND METHODS

The study design and methodology are published (7). Briefly, Mayo Clinic Study of Aging participants were Olmsted County residents aged 70–89 years on 1 October 2004, who were randomly selected from the population to investigate risk factors for mild cognitive impairment (MCI) and dementia. In a subset of 432 study participants who had undergone imaging, we matched 93 individuals with type 2 diabetes by age, sex, and years of education to 186 control subjects without type 2 diabetes. Study protocols were approved by the Mayo Clinic and Olmsted Medical Center Institutional Review Boards. Criteria for type 2 diabetes were 1) treatment (oral antidiabetic agents, insulin) or 2) fasting blood glucose >126 mg/dl on two separate occasions or 3) a physician diagnosis, using information from participant medication bottles and from the participant medical record (3). Individuals who only met the latter two criteria were considered as having type 2 diabetes without treatment; they had very mild disease (median glycosylated hemoglobin [HbA1c] was 5.8% [range 5.1–6.7%]). Diabetes-related complications were defined as self-reported physician-diagnosed diabetic nephropathy, retinopathy, or neuropathy (3). Demographic factors were assessed by interview, and vascular risk factors (hypertension, coronary heart disease, and dyslipidemia) were assessed from the medical record. Height and weight were measured, and apolipoprotein (apoE) ε4 genotyping was performed. Cognitive status was evaluated by a nurse, a neurologist, and by cognitive testing for a diagnosis of cognitively normal, MCI, or dementia as previously described (7).

Acquisition of MRI

MRI studies were performed on a 3-T system (Signa; GE Healthcare, Waukesha, WI), with an eight-channel phased-array head coil and a fluid-attenuated inversion recovery sequence (8). A trained technician assessed presence of white matter hyperintensities (WMHs), hemispheric cortical infarctions (>10 mm), and subcortical infarctions (lacunar infarctions in the central gray or capsular region or in the hemispheric white matter; areas >3 mm, dark in the center, bright rim, and not a perivascular space) as previously described (9).

Statistical analyses

We compared subcortical infarctions (present or absent) in case subjects and control subjects using logistic regression methods with adjustment for age, sex, years of education, and apoE ε4 allele carrier status (model 1) and with additional adjustment for potential confounders or covariates (model 2).

RESULTS

Consistent with the matched case-control design, the distributions of age (median 79 years), sex (41% female), years of education (median 12 years), and apoE ε4 allele carrier status (26%) were similar in case subjects and control subjects. Case subjects (vs. control subjects) had a higher frequency of hypertension (94 vs. 68%; P < 0.01), BMI >30 kg/m2 (33 vs. 21%; P = 0.03), coronary heart disease (40 vs. 27%; P = 0.04), dyslipidemia (88 vs. 70%; P = <0.001), and median HbA1c levels (6.0 vs. 5.0%; P < 0.01) but did not differ from control subjects in the frequency of smoking (57 vs. 56%; P = 0.86), MCI (25 vs. 22%; P = 0.49), or WMH (15 vs. 16 cm3; P = 0.86). Of the 90 subjects with subcortical infarctions, 55 subjects had one, 20 had two, and 5 had three to nine subcortical infarctions detected. The frequency of subcortical infarctions was higher in case subjects (39%) than in control subjects (29%; odds ratio [OR] 1.59 [95% CI 0.91–2.75]; P = 0.10). Compared with control subjects, the OR was elevated for case subjects without treatment for type 2 diabetes, case subjects with diabetes-related complications, and case subjects diagnosed with type 2 diabetes in late life (Table 1). Hypertension was not associated with subcortical infarctions, and there was no interaction of hypertension with type 2 diabetes.
Table 1

Association of type 2 diabetes and diabetes-related measures with subcortical infarctions*

ParameternSubcortical infarctions
Model 1
Model 2
OR (95% CI)P valueOR (95% CI)P value
Treatment
    No type 2 diabetes1861.00 (reference)1.00 (reference)
    With treatment651.27 (0.67–2.39)0.471.38 (0.70–2.73)0.35
    Without treatment282.60 (1.11–6.08)0.032.70 (1.11–6.55)0.03
Type of type 2 diabetes treatment
    No type 2 diabetes1861.00 (reference)1.00 (reference)
    With oral treatment461.13 (0.55–2.32)0.731.25 (0.58–2.69)0.56
    With insulin treatment191.72 (0.58–5.03)0.331.78 (0.59–5.52)0.30
    Without treatment282.60 (1.11–6.10)0.032.72 (1.12–6.61)0.03
Type 2 diabetes-related complications
    No type 2 diabetes1861.00 (reference)1.00 (reference)
    No complications371.12 (0.50–2.52)0.781.26 (0.54–2.94)0.59
    With complications561.96 (1.02–3.74)0.042.10 (1.04–4.23)0.04
Age at diagnosis of type 2 diabetes (years)
    No type 2 diabetes1861.00 (reference)1.00 (reference)
    Aged <65 years281.06 (0.41–2.74)0.911.20 (0.45–3.22)0.72
    Aged ≥65 years651.84 (1.00–3.38)0.051.95 (1.01–3.73)0.05
Duration of type 2 diabetes
    No type 2 diabetes1861.00 (reference)1.00 (reference)
    ≥8 years460.97 (0.46–2.07)0.951.00 (0.44–2.24)1.00
    <8 years472.44 (1.22–4.87)0.012.67 (1.29–5.53)<0.01

*Case subjects were matched to control subjects without type 2 diabetes by age, sex, and years of education. Model 1 includes adjustment for age, sex, years of education (as a continuous variable), and apoE ε4 allele carrier status to account for any residual confounding. Model 2 includes model 1 variables in addition to hypertension, dyslipidemia, coronary heart disease, BMI, and smoking. When we examined associations with subcortical infarctions as an ordinal variable (0, 1, and ≥2), the magnitude of the associations were attenuated but remained in the same direction as in the table. With subjects without type 2 diabetes as the references groups, the estimates for model 1 are as follows: oral antidiabetic agents (OR 1.03 [95% CI 0.51–2.08]; P = 0.93), insulin use (1.64 [0.58–4.61]; P = 0.35); without treatment (2.03 [0.91–4.53]; P = 0.08); without diabetes-related complications (1.03 [0.47–2.27]; P = 0.95) and with complications (1.68 [0.90–3.13]; P = 0.10); age at diagnosis <65 years (1.10 [0.44–2.75]; P = 0.84) and ≥65 years (1.52 [0.84–2.74]; P = 0.16); short duration of diabetes (0.93 [0.45–1.94]; P = 0.86); <8 years (1.94 [1.00–3.74]; P = 0.05).

Association of type 2 diabetes and diabetes-related measures with subcortical infarctions* *Case subjects were matched to control subjects without type 2 diabetes by age, sex, and years of education. Model 1 includes adjustment for age, sex, years of education (as a continuous variable), and apoE ε4 allele carrier status to account for any residual confounding. Model 2 includes model 1 variables in addition to hypertension, dyslipidemia, coronary heart disease, BMI, and smoking. When we examined associations with subcortical infarctions as an ordinal variable (0, 1, and ≥2), the magnitude of the associations were attenuated but remained in the same direction as in the table. With subjects without type 2 diabetes as the references groups, the estimates for model 1 are as follows: oral antidiabetic agents (OR 1.03 [95% CI 0.51–2.08]; P = 0.93), insulin use (1.64 [0.58–4.61]; P = 0.35); without treatment (2.03 [0.91–4.53]; P = 0.08); without diabetes-related complications (1.03 [0.47–2.27]; P = 0.95) and with complications (1.68 [0.90–3.13]; P = 0.10); age at diagnosis <65 years (1.10 [0.44–2.75]; P = 0.84) and ≥65 years (1.52 [0.84–2.74]; P = 0.16); short duration of diabetes (0.93 [0.45–1.94]; P = 0.86); <8 years (1.94 [1.00–3.74]; P = 0.05). When restricted to case subjects only, the OR of subcortical infarctions was elevated in case subjects without treatment (OR 2.34 [95% CI 0.84–6.54]; P = 0.10), case subjects treated with insulin (1.51 [0.43–5.26]; P = 0.52) compared with case subjects treated with oral antidiabetic agents (reference group), case subjects with complications versus no complications (1.75 [0.61–5.05]; P = 0.30), case subjects with diagnosis at aged ≥65 years versus aged <65 years (1.75 [0.61–5.05]; P = 30), and case subjects with shorter versus longer duration of diabetes (2.61 [1.01–6.75]; P = 0.05).

CONCLUSIONS

In this elderly sample, subjects with untreated type 2 diabetes, diabetes-related complications, and later age at diagnosis were more likely to have subcortical infarctions. Treatment with insulin was associated with an elevated OR. Untreated type 2 diabetes may contribute to subclinical microvascular disease and undetected large vessel atherosclerotic disease (10). In a stroke registry, type 2 diabetes was associated with multiple lacunar infarctions (11). Insulin treatment, a marker for disease severity, has been associated with micro- and macrocerebrovascular disease including subcortical infarctions (12). The present findings are consistent with a role of subcortical infarctions as a mediator of cognitive impairment in patients with type 2 diabetes. The nonsignificant association for insulin-treated diabetes may be due to survival bias and underrepresentation of subjects with insulin-treated diabetes in our study, given the increased risk of mortality and stroke in subjects with severe diabetes or to limited power due to small numbers. Consistent with our study, type 2 diabetes was associated with an increased risk of lacunar infarctions in the Honolulu-Asia Aging Study (6), the Utrecht Diabetic Encephalopathy Study (13), and the Cardiovascular Health Study (14). In contrast, others have not found associations of type 2 diabetes with lacunar infarctions (15) or have observed associations with WMH (13). Potential limitations of our study include the cross-sectional design, potential nonparticipation bias, underrepresentation of subjects with early onset of diabetes, and inadequate power to assess associations of type 2 diabetes with cortical infarctions. In summary, our findings suggest that untreated type 2 diabetes, diabetes-related complications, and insulin treatment are associated with subcortical infarctions.
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1.  Brain lesions on MRI in elderly patients with type 2 diabetes mellitus.

Authors:  Barbera van Harten; Joukje M Oosterman; Bert-Jan Potter van Loon; Philip Scheltens; Henry C Weinstein
Journal:  Eur Neurol       Date:  2006-12-15       Impact factor: 1.710

2.  Risk of dementia among persons with diabetes mellitus: a population-based cohort study.

Authors:  C L Leibson; W A Rocca; V A Hanson; R Cha; E Kokmen; P C O'Brien; P J Palumbo
Journal:  Am J Epidemiol       Date:  1997-02-15       Impact factor: 4.897

3.  Cardiovascular risk factors and cognitive decline in middle-aged adults.

Authors:  D Knopman; L L Boland; T Mosley; G Howard; D Liao; M Szklo; P McGovern; A R Folsom
Journal:  Neurology       Date:  2001-01-09       Impact factor: 9.910

4.  Brain aging in very old men with type 2 diabetes: the Honolulu-Asia Aging Study.

Authors:  Esther S C Korf; Lon R White; Ph Scheltens; Lenore J Launer
Journal:  Diabetes Care       Date:  2006-10       Impact factor: 19.112

5.  Clinical determinants of dementia related to stroke.

Authors:  T K Tatemichi; D W Desmond; M Paik; M Figueroa; T I Gropen; Y Stern; M Sano; R Remien; J B Williams; J P Mohr
Journal:  Ann Neurol       Date:  1993-06       Impact factor: 10.422

6.  Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study.

Authors:  Sarah E Vermeer; Tom Den Heijer; Peter J Koudstaal; Matthijs Oudkerk; Albert Hofman; Monique M B Breteler
Journal:  Stroke       Date:  2003-02       Impact factor: 7.914

Review 7.  Stroke in the diabetic patient.

Authors:  D S Bell
Journal:  Diabetes Care       Date:  1994-03       Impact factor: 19.112

8.  Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people: the Cardiovascular Health Study.

Authors:  W T Longstreth; C Bernick; T A Manolio; N Bryan; C A Jungreis; T R Price
Journal:  Arch Neurol       Date:  1998-09

9.  Hypertension and diabetes mellitus as determinants of multiple lacunar infarcts.

Authors:  H Mast; J L Thompson; S H Lee; J P Mohr; R L Sacco
Journal:  Stroke       Date:  1995-01       Impact factor: 7.914

10.  Hippocampal volumes, proton magnetic resonance spectroscopy metabolites, and cerebrovascular disease in mild cognitive impairment subtypes.

Authors:  Kejal Kantarci; Ronald C Petersen; Scott A Przybelski; Stephen D Weigand; Maria M Shiung; Jennifer L Whitwell; Selamawit Negash; Robert J Ivnik; Bradley F Boeve; David S Knopman; Glenn E Smith; Clifford R Jack
Journal:  Arch Neurol       Date:  2008-12
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2.  Relative power and coherence of EEG series are related to amnestic mild cognitive impairment in diabetes.

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