Impact of Early Diabetic Ketoacidosis on the Developing Brain
Abstract
OBJECTIVE: This study examined whether a history of diabetic ketoacidosis (DKA) is associated with changes in longitudinal cognitive and brain development in young children with type 1 diabetes. RESEARCH DESIGN AND METHODS: Cognitive and brain imaging data were analyzed from 144 children with type 1 diabetes, ages 4 to <10 years, who participated in an observational study of the Diabetes Research in Children Network (DirecNet). Participants were grouped according to history of DKA severity (none/mild or moderate/severe). Each participant had unsedated MRI scans and cognitive testing at baseline and 18 months. RESULTS: In 48 of 51 subjects, the DKA event occurred at the time of onset, at an average of 2.9 years before study entry. The moderate/severe DKA group gained more total and regional white and gray matter volume over the observed 18 months compared with the none/mild group. When matched by age at time of enrollment and average HbA1c during the 18-month interval, participants who had a history of moderate/severe DKA compared with none/mild DKA were observed to have significantly lower Full Scale Intelligence Quotient scores and cognitive performance on the Detectability and Commission subtests of the Conners’ Continuous Performance Test II and the Dot Locations subtest of the Children’s Memory Scale. CONCLUSIONS: A single episode of moderate/severe DKA in young children at diagnosis is associated with lower cognitive scores and altered brain growth. Further studies are needed to assess whether earlier diagnosis of type 1 diabetes and prevention of DKA may reduce the long-term effect of ketoacidosis on the developing brain.
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DKA is associated with significant risk of acute morbidity and mortality, may cause long-term morbidity, and entails a substantial healthcare cost.
“Since DKA is associated with significant risk of acute morbidity and mortality, may cause long‐term morbidity, and entails a substantial healthcare cost, it is nonetheless imperative to keep the incidence rate of DKA as low as possible. 27 , 28 , 29”
From Insulin pump therapy is associated with higher rates of mild diabetic ketoacidosis compared to injection therapy: A 2‐year Swedish national survey of children and adolescents with type 1 diabetes (2022) · cites this paper as [27]
The Introduction describes DKA as a leading acute cause of morbidity and mortality in youth with type 1 diabetes and associates it with long-term adverse cognitive effects. The Conclusions also say that a single moderate or severe episode in young children can potentially have long-term effects. The paper does not substantiate the claim about substantial healthcare cost (searched: healthcare costs, hospitalization, economic cost, cost). (LLM, conf=0.90)
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Cites
Cameron, F. J., Scratch, S. E., Nadebaum, C., Northam, E. A., Koves, I., Jennings, J., Finney, K., Neil, J. J., Wellard, R. M., Mackay, M., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1904 · Cited by 241 · see citing works
Tonoli, C., Heyman, E., Roelands, B., Pattyn, N., Buyse, L., Piacentini, M. F., Berthoin, S., & Meeusen, R. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12193 · Cited by 148 · see citing works
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Research works printed but not linked: 28
- [1]Siller AF, Lugar H, Rutlin J, Severity of clinical presentation in youth with type 1 diabetes is associated with differences in brain structure. Pediatr Diabetes 2017; 18: 686– 695 27488913 PMC5290262
- [2]Glaser N, Kuppermann N. The evaluation and management of children with diabetic ketoacidosis in the emergency department. Pediatr Emerg Care 2004;20:477–481; quiz 482–484 15232253
- [3]Krane EJ, Rockoff MA, Wallman JK, Wolfsdorf JI Subclinical brain swelling in children during treatment of diabetic ketoacidosis. N Engl J Med 1985; 312: 1147– 1151 3920521
- [4]Jessup AB, Grimley MB, Meyer E, Effects of diabetic ketoacidosis on visual and verbal neurocognitive function in young patients presenting with new-onset type 1 diabetes. J Clin Res Pediatr Endocrinol 2015; 7: 203– 210 26831554 PMC4677555
- [5]Ghetti S, Lee JK, Sims CE, Demaster DM, Glaser NS Diabetic ketoacidosis and memory dysfunction in children with type 1 diabetes. J Pediatr 2010; 156: 109– 114 19833353
- [6]Cato A, Hershey T Cognition and type 1 diabetes in children and adolescents. Diabetes Spectr 2016; 29: 197– 202 27899870 PMC5111530
- [7]Semenkovich K, Bischoff A, Doty T, Clinical presentation and memory function in youth with type 1 diabetes. Pediatr Diabetes 2016; 17: 492– 499 26377697 PMC4803626
- [8]Nadebaum C, Scratch SE, Northam EA, Cameron FJ; Diabetic Ketoacidosis and Brain Injury Study Group Clinical utility of mental state screening as a predictor of intellectual outcomes 6 months after diagnosis of type 1 diabetes. Pediatr Diabetes 2012; 13: 632– 637 22564152
- [10]Cato MA, Mauras N, Ambrosino J,.; Diabetes Research in Children Network (DirecNet) Cognitive functioning in young children with type 1 diabetes. J Int Neuropsychol Soc 2014; 20: 238– 247 24512675 PMC4123061
- [11]Barnea-Goraly N, Raman M, Mazaika P,.; Diabetes Research in Children Network (DirecNet) Alterations in white matter structure in young children with type 1 diabetes. Diabetes Care 2014; 37: 332– 340 24319123 PMC3898758
- [12]Marzelli MJ, Mazaika PK, Barnea-Goraly N,.; Diabetes Research in Children Network (DirecNet) Neuroanatomical correlates of dysglycemia in young children with type 1 diabetes. Diabetes 2014; 63: 343– 353 24170697 PMC3868050
- [13]Mauras N, Mazaika P, Buckingham B,.; Diabetes Research in Children Network (DirecNet) Longitudinal assessment of neuroanatomical and cognitive differences in young children with type 1 diabetes: association with hyperglycemia. Diabetes 2015; 64: 1770– 1779 25488901 PMC4407847
- [14]Zane KL, Gfeller JD, Roskos PT, Bucholz RD The clinical utility of the Conners’ Continuous Performance Test-II in traumatic brain injury. Arch Clin Neuropsychol 2016; 31: 996– 1005 27650713
- [15]Dunger DB, Sperling MA, Acerini CL,.; ESPE; LWPES ESPE/LWPES consensus statement on diabetic ketoacidosis in children and adolescents. Arch Dis Child 2004; 89: 188– 194 14736641 PMC1719805
- [16]Bates D, Mächler M, Bolker BM, Walker SC Fitting linear mixed-effects models using lme4. J Stat Softw 2015; 67: 1– 48
- [17]Gaudieri PA, Chen R, Greer TF, Holmes CS Cognitive function in children with type 1 diabetes: a meta-analysis. Diabetes Care 2008; 31: 1892– 1897 18753668 PMC2518367
- [18]Naguib JM, Kulinskaya E, Lomax CL, Garralda ME Neuro-cognitive performance in children with type 1 diabetes—a meta-analysis. J Pediatr Psychol 2009; 34: 271– 282 18635605
- [19]Iovane B, Cangelosi AM, Bonaccini I, Diabetic ketoacidosis at the onset of type 1 diabetes in young children. Is it time to launch a tailored campaign for DKA prevention in children <5 years? Acta Biomed 2018; 89: 67– 71 29633745 PMC6357617
- [20]Glaser NS, Wootton-Gorges SL, Marcin JP, Mechanism of cerebral edema in children with diabetic ketoacidosis. J Pediatr 2004; 145: 164– 171 15289761
- [21]Mazaika PK, Weinzimer SA, Mauras N,.; Diabetes Research in Children Network (DirecNet) Variations in brain volume and growth in young children with type 1 diabetes. Diabetes 2016; 65: 476– 485 26512024 PMC4747456
- [22]Lo WY, Peng CT, Wang HJ MicroRNA-146a-5p mediates high glucose-induced endothelial inflammation via targeting interleukin-1 receptor-associated kinase 1 expression. Front Physiol 2017; 8: 551 28824448 PMC5539227
- [23]Levin DL Cerebral edema in diabetic ketoacidosis. Pediatr Crit Care Med 2008; 9: 320– 329 18446108
- [24]Wolfsdorf J, Glaser N, Sperling MA; American Diabetes Association Diabetic ketoacidosis in infants, children, and adolescents: a consensus statement from the American Diabetes Association. Diabetes Care 2006; 29: 1150– 1159 16644656
- [25]Bello FA, Sotos JF Cerebral oedema in diabetic ketoacidosis in children. Lancet 1990; 336: 64 1973254
- [26]Frings L, Wagner K, Unterrainer J, Spreer J, Halsband U, Schulze-Bonhage A Gender-related differences in lateralization of hippocampal activation and cognitive strategy. Neuroreport 2006; 17: 417– 421 16514369
- [27]Axmacher N, Henseler MM, Jensen O, Weinreich I, Elger CE, Fell J Cross-frequency coupling supports multi-item working memory in the human hippocampus. Proc Natl Acad Sci U S A 2010; 107: 3228– 3233 20133762 PMC2840289
- [28]Glaser N, Little C, Lo W, Treatment with the KCa3.1 inhibitor TRAM-34 during diabetic ketoacidosis reduces inflammatory changes in the brain. Pediatr Diabetes 2017; 18: 356– 366 27174668
- [29]Hoffman WH, Artlett CM, Boodhoo D, Markers of immune-mediated inflammation in the brains of young adults and adolescents with type 1 diabetes and fatal diabetic ketoacidosis. Is there a difference? Exp Mol Pathol 2017; 102: 505– 514 28533125
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Jacobson, A. M., Ryan, C. M., Braffett, B. H., Gubitosi-Klug, R. A., Lorenzi, G. M., Luchsinger, J. A., Trapani, V. R., Bebu, I., Chaytor, N., Hitt, S. M., et al. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00086-3 · Cited by 138 · see citing works
Jensen, E. T., Stafford, J. M., Saydah, S., D’Agostino, R. B., Dolan, L. M., Lawrence, J. M., Marcovina, S., Mayer-Davis, E. J., Pihoker, C., Rewers, A., et al. (2021) · Diabetes Care · doi:10.2337/dc20-0389 · Cited by 137 · see citing works
Diabetic ketoacidosis at diagnosis of type 1 diabetes in Colorado children, 2010-2017
Alonso, G. T., Coakley, A., Pyle, L., Manseau, K., Thomas, S., & Rewers, A. (2020) · Diabetes Care · doi:10.2337/dc19-0428 · Cited by 117 · see citing works
Wersäll, J. H., Adolfsson, P., Forsander, G., & Hanas, R. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13377 · Cited by 21 · see citing works
- Authors
- Aye, T., Mazaika, P. K., Mauras, N., Marzelli, M. J., Shen, H., Hershey, T., Cato, A., Weinzimer, S. A., White, N. H., Tsalikian, E., Jo, B., Reiss, A. L., Diabetes Research in Children Network (DirecNet) Study Group, Tsalikian, E., Tansey, M. J., Coffey, J., Cabbage, J., Salamati, S., Mauras, N., Fox, L. A., Cato, A., Englert, K., Sikes, K., Buckingham, B. A., Wilson, D. M., Aye, T., Caswell, K., Ambers, E., Weinzimer, S. A., Tamborlane, W. V., Steffen, A., Weyman, K., Zgorski, M., Ambrosino, J., White, N. H., Arbelaez, A. M., Levandoski, L., Starnes, A., Hershey, T., Reiss, A. L., Barnea-Goraly, N., Marzelli, M. J., Mazaika, P. K., Peng, D. X., Beck, R., Kollman, C., Ruedy, K., Winer, K., Sperling, M., Becker, D. M., Cleary, P., Greenbaum, C., & Moran, A.
- Affiliations
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2018-12-20
- Volume
- 42
- Issue
- 3
- Pages
- 443-449
- ISSN
- 0149-5992
- 1935-5548
- PMC
- PMC6385695
- Cited by
- 124
- References
- 2
- Language
- en
- Funders
- National Institute of Child Health and Human Development (DIRECNET HD-41906, HD-41908, HD-41915, HD-41918, HD-56526, R01-HD-078463, U54-HD-087011, UL1-RR-024992)
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