Associations of hemoglobin A1c with cognition reduced for long diabetes duration

Jeremy M Silverman, James Schmeidler, Pearl G Lee, Neil B Alexander, Michal Schnaider Beeri, Elizabeth Guerrero-Berroa, Rebecca K West, Mary Sano, Martina Nabozny, Carolina Rodriguez Alvarez, Jeremy M Silverman, James Schmeidler, Pearl G Lee, Neil B Alexander, Michal Schnaider Beeri, Elizabeth Guerrero-Berroa, Rebecca K West, Mary Sano, Martina Nabozny, Carolina Rodriguez Alvarez

Abstract

Introduction: Associations of some risk factors with poor cognition, identified prior to age 75, are reduced or reversed in very old age. The Protected Survivor Model predicts this interaction due to enhanced survival of those with extended risk factor duration. In a younger sample, this study examines the association of cognition with the mean hemoglobin A1c risk factor over the time at risk, according to its duration.

Methods: The interaction of mean hemoglobin A1c (average = 9.8%), evaluated over duration (average = 116.8 months), was examined for overall cognition and three cognitive domains in a sample of 150 "young-old" veterans (mean age = 70) with type 2 diabetes.

Results: The predicted interactions were significant for overall cognition and attention, but not executive functions/language and memory.

Discussion: Findings extend the Protected Survivor Model to a "young-old" sample, from the very old. This model suggests focusing on individuals with good cognition despite prolonged high risk when seeking protective factors.

Keywords: Cognitive function; Diabetes duration; Hemoglobin A1c; Protected survivor; Protective factors; Risk factors; Type 2 diabetes.

Figures

Fig. 1
Fig. 1
HbA1c by overall cognition scores divided by duration groups. Mean HbA1c by overall cognition scores in veterans with T2D dichotomized at the low end of the upper third (157.72 months), creating a long T2D duration group (157.74–215.15 months; upper panel) and shorter T2D duration group (7.41–157.70 months; lower panel). In each plot, the dashed vertical line from the x-axis is the dichotomization cut point at the low end of the upper third for HbA1c (10.535%). Solid line in each panel is the regression line for all participants in the T2D duration group. Dotted lines in each panel are the regression lines for participants in the lower and high HbA1c subgroups. For each subgroup, means and standard deviations of HbA1c and overall cognition scores are black stars with vertical bars. Abbreviations: HbA1c, hemoglobin A1c; T2D, type 2 diabetes.

References

    1. National Center for Chronic Disease Prevention and Health Promotion Division of Diabetes Translation . Center for Disease Control; 2017. National Diabetes Statistics Report, 2017. Estimates of Diabetes and Its Burden in the United States.
    1. Mattishent K., Loke Y.K. Bi-directional interaction between hypoglycaemia and cognitive impairment in elderly patients treated with glucose-lowering agents: a systematic review and meta-analysis. Diabetes Obes Metab. 2016;18:135–141.
    1. Punthakee Z., Miller M.E., Launer L.J., Williamson J.D., Lazar R.M., Cukieman-Yaffee T. Poor cognitive function and risk of severe hypoglycemia in type 2 diabetes: post hoc epidemiologic analysis of the ACCORD trial. Diabetes Care. 2012;35:787–793.
    1. Bruce D.G., Davis W.A., Casey G.P., Starkstein S.E., Clarnette R.M., Foster J.K. Predictors of cognitive impairment and dementia in older people with diabetes. Diabetologia. 2008;51:241–248.
    1. Pal K., Mukadam N., Petersen I., Cooper C. Mild cognitive impairment and progression to dementia in people with diabetes, prediabetes and metabolic syndrome: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol. 2018;53:1149–1160.
    1. Li G., Shofer J.B., Kukull W.A., Peskind E.R., Tsuang D.W., Breitner J.C. Serum cholesterol and risk of Alzheimer disease: a community-based cohort study. Neurology. 2005;65:1045–1050.
    1. van den Berg E., Biessels G.J., de Craen A.J., Gussekloo J., Westendorp R.G. The metabolic syndrome is associated with decelerated cognitive decline in the oldest old. Neurology. 2007;69:979–985.
    1. Mielke M.M., Zandi P.P., Sjogren M., Gustafson D., Ostling S., Steen B. High total cholesterol levels in late life associated with a reduced risk of dementia. Neurology. 2005;64:1689–1695.
    1. Lima T.A., Adler A.L., Minett T., Matthews F.E., Brayne C., Marioni R.E. C-reactive protein, APOE genotype and longitudinal cognitive change in an older population. Age Ageing. 2014;43:289–292.
    1. Euser S.M., van B.T., Schram M.T., Gussekloo J., Hofman A., Westendorp R.G. The effect of age on the association between blood pressure and cognitive function later in life. J Am Geriatr Soc. 2009;57:1232–1237.
    1. Beeri M.S., Ravona-Springer R., Silverman J.M., Haroutunian V. The effects of cardiovascular risk factors on cognitive compromise. Dialogues Clin Neurosci. 2009;11:201–212.
    1. Silverman J.M., Schmeidler J. The protected survivor model: Using resistant successful cognitive aging to identify protection in the very old. Med Hypotheses. 2018;110:9–14.
    1. West R., Beeri M.S., Schmeidler J., Hannigan C., Angelo G., Rosendorff C. Better memory functioning associated with higher total and LDL cholesterol levels in very elderly subjects without the APOE4 allele. Am J Geriatr Psychiatry. 2008;16:781–785.
    1. Huang J., Schmeidler J., Beeri M.S., Rosendorff C., Bhatia S., West R.K. Haemoglobin A(1c) and cognitive function in very old, cognitively intact men. Age Ageing. 2012;41:125–128.
    1. Silverman J.M., Beeri M.S., Schmeidler J., Rosendorff C., Angelo G., Mavris R.S. C-reactive protein and memory function suggest antagonistic pleiotropy in very old nondemented subjects. Age Ageing. 2009;38:237–241.
    1. Ravona-Springer R., Moshier E., Schmeidler J., Godbold J., Akrivos J., Rapp M. Changes in glycemic control are associated with changes in cognition in non-diabetic elderly. J Alzheimers Dis. 2012;30:299–309.
    1. Dybjer E., Nilsson P.M., Engstrom G., Helmer C., Nagga K. Pre-diabetes and diabetes are independently associated with adverse cognitive test results: a cross-sectional, population-based study. BMC Endocr Disord. 2018;18:91.
    1. Zheng F., Yan L., Yang Z., Zhong B., Xie W. HbA1c, diabetes and cognitive decline: the English Longitudinal Study of Ageing. Diabetologia. 2018;61:839–848.
    1. Karran M., Guerrero-Berroa E., Schmeidler J., Lee P.G., Alexander N., Nabozny M. Recruitment of older veterans with diabetes risk for Alzheimer’s disease for a randomized clinical trial of computerized cognitive training. J Alzheimers Dis. 2019;69:401–411.
    1. Heisler M., Smith D.M., Hayward R.A., Krein S.L., Kerr E.A. How well do patients' assessments of their diabetes self-management correlate with actual glycemic control and receipt of recommended diabetes services? Diabetes Care. 2003;26:738–743.
    1. Morris J.C. Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. Int Psychogeriatr. 1997;9:173–176.
    1. Folstein M.F., Folstein S.E., McHugh P.R. Mini Mental State: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198.
    1. Guerrero-Berroa E., Ravona-Springer R., Schmeidler J., Silverman J.M., Sano M., Koifman K. Age, gender, and education are associated with cognitive performance in an older Israeli sample with type 2 diabetes. Int J Geriatr Psychiatry. 2014;29:299–309.
    1. VA Information Technology . Department of Veterans Affairs; 2016. History of IT at VA.
    1. Silverman J.M., Schmeidler J. Outcome age-based prediction of successful cognitive aging by total cholesterol. Alzheimers Dement. 2018;14:952–960.
    1. Reitz C., Tang M.X., Manly J., Schupf N., Mayeux R., Luchsinger J.A. Plasma lipid levels in the elderly are not associated with the risk of mild cognitive impairment. Dement Geriatr Cogn Disord. 2008;25:232–237.
    1. van Himbergen T.M., Beiser A.S., Ai M., Seshadri S., Otokozawa S., Au R. Biomarkers for insulin resistance and inflammation and the risk for all-cause dementia and alzheimer disease: results from the Framingham Heart Study. Arch Neurol. 2012;69:594–600.
    1. Valerio D., Raventos H., Schmeidler J., Beeri M.S., Villalobos L.M., Bolanos-Palmieri P. Association of apolipoprotein E-e4 and dementia declines with age. Am J Geriatr Psychiatry. 2014;22:957–960.
    1. Carrion-Baralt J.R., Melendez-Cabrero J., Rodriguez-Ubinas H., Schmeidler J., Beeri M.S., Angelo G. Impact of APOE epsilon4 on the cognitive performance of a sample of non-demented Puerto Rican nonagenarians. J Alzheimers Dis. 2009;18:533–540.
    1. Cukierman-Yaffe T., Gerstein H.C., Williamson J.D., Lazar R.M., Lovato L., Miller M.E. Relationship between baseline glycemic control and cognitive function in individuals with type 2 diabetes and other cardiovascular risk factors: the action to control cardiovascular risk in diabetes-memory in diabetes (ACCORD-MIND) trial. Diabetes Care. 2009;32:221–226.
    1. Gerstein H.C., Miller M.E., Byington R.P., Goff D.C., Bigger J.T., Buse J.B. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008;358:2545–2559.
    1. Plassman B.L., Williams J.W., Jr., Burke J.R., Holsinger T., Benjamin S. Systematic review: factors associated with risk for and possible prevention of cognitive decline in later life. Ann Intern Med. 2010;153:182–193.
    1. Samson M., Libert F., Doranz B.J., Ruker J., Liesnard C., Farber C.M. Resistance to HIV-1 infection in caucasian individuals bearing mutant alleles of the CCR-5 chemokine receptor gene [see comments] Nature. 1996;382:722–725.

Source: PubMed

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