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Bartolini E, Ferrari AR, Fiori S, Della Vecchia S. Glycaemic Imbalances in Seizures and Epilepsy of Paediatric Age: A Literature Review. J Clin Med 2023; 12:jcm12072580. [PMID: 37048663 PMCID: PMC10095009 DOI: 10.3390/jcm12072580] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 04/01/2023] Open
Abstract
Cerebral excitability and systemic metabolic balance are closely interconnected. Energy supply to neurons depends critically on glucose, whose fluctuations can promote immediate hyperexcitability resulting in acute symptomatic seizures. On the other hand, chronic disorders of sugar metabolism (e.g., diabetes mellitus) are often associated with long-term epilepsy. In this paper, we aim to review the existing knowledge on the association between acute and chronic glycaemic imbalances (hyper- and hypoglycaemia) with seizures and epilepsy, especially in the developing brain, focusing on clinical and instrumental features in order to optimize the care of children and adolescents and prevent the development of chronic neurological conditions in young patients.
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Affiliation(s)
- Emanuele Bartolini
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy (A.R.F.)
- Tuscany PhD Programme in Neurosciences, 50139 Florence, Italy
| | - Anna Rita Ferrari
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy (A.R.F.)
| | - Simona Fiori
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy (A.R.F.)
- Department of Clinical and Experimental Medicine, University of Pisa, 56128 Pisa, Italy
| | - Stefania Della Vecchia
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy (A.R.F.)
- Department of Molecular Medicine and Neurogenetics, IRCCS Stella Maris Foundation, 56128 Pisa, Italy
- Correspondence: ; Tel.: +39-050-886-332
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de Sousa GJ, Tittel SR, Häusler M, Holterhus PM, Berger G, Holder M, Kamrath C, Golembowski S, Herrlinger S, Holl RW. Type 1 diabetes and epilepsy in childhood and adolescence: Do glutamic acid decarboxylase autoantibodies play a role? Data from the German/Austrian/Swiss/Luxembourgian DPV Registry. Pediatr Diabetes 2020; 21:766-773. [PMID: 32333480 DOI: 10.1111/pedi.13034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/23/2020] [Accepted: 04/16/2020] [Indexed: 11/28/2022] Open
Abstract
AIMS We aimed to analyze the relationship between epilepsy and glutamic acid decarboxylase autoantibodies (GADA) in patients with type 1 diabetes mellitus (T1DM) and the impact of GADA on demographic, clinical, and metabolic data in T1DM patients with epilepsy. METHODS We searched for patients with T1DM ≤20 years and GADA measurements, and within this group for patients with epilepsy. We formed groups: T1DM + Epilepsy + GADA positive; T1DM + Epilepsy + GADA negative; T1DM + GADA positive; T1DM + GADA negative. We used logistic regression to analyze the relationship between epilepsy and GADA with odds ratio adjusted for sex, duration of diabetes (DOD), and age at diabetes onset (ADO). We used logistic regression with odds ratio adjusted for DOD and ADO onset using epilepsy as a dependent variable and GADA, HbA1c, ketoacidosis, severe hypoglycemia (SH), sex, celiac disease, and autoimmune thyroiditis as independent variables. We conducted regression analyses adjusted for sex, DOD, and ADO to analyze differences in clinical/metabolic parameters between the groups. RESULTS Epilepsy was not more frequent in GADA-positive patients (GPP). Logistic regression including all patients with GADA measurements showed that hypoglycemia with coma (HC) correlated with epilepsy when compared to no SH. We found no differences in clinical and metabolic data between GPP and GADA-negative patients (GNP) with epilepsy. SH occurred more often in GPP with epilepsy in comparison to GPP without epilepsy. GNP with epilepsy had a higher rate of HC than GPP without epilepsy. CONCLUSION We found no relationship between epilepsy and GADA. A relationship between T1DM and epilepsy might be explainable by SH.
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Affiliation(s)
- Gideon John de Sousa
- Children's Hospital Dortmund, Dortmund, Germany.,Department of Pediatrics, University of Witten/Herdecke, Witten, Germany
| | - Sascha René Tittel
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Martin Häusler
- Division of Neuropediatrics and Social Pediatrics, Department of Pediatrics, University Hospital RWTH Aachen, Aachen, Germany
| | | | | | - Martin Holder
- Children's Hospital, Olgahospital Stuttgart, Stuttgart, Germany
| | - Clemens Kamrath
- Children's Hospital, University of Giessen, Giessen, Germany
| | - Sven Golembowski
- Children's Hospital, Sana Klinikum Lichtenberg Berlin, Berlin, Germany
| | | | - Reinhard Walter Holl
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Muhigwa A, Preux PM, Gérard D, Marin B, Boumediène F, Ntamwira C, Tsai CH. Comorbidities of epilepsy in low and middle-income countries: systematic review and meta-analysis. Sci Rep 2020; 10:9015. [PMID: 32488109 PMCID: PMC7265529 DOI: 10.1038/s41598-020-65768-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 05/06/2020] [Indexed: 01/30/2023] Open
Abstract
Epilepsy is a major public health concern in low and middle-income countries (LMICs) and comorbidities aggravate the burden associated with the disease. The epidemiology of these comorbidities has not been well described, although, identifying the main comorbidities of epilepsy, and their relative importance, is crucial for improving the quality of care. Comorbidities were defined as disorders coexisting with or preceding epilepsy, or else compounded or directly attributed to epilepsy or to its treatment. A meta-analysis of the proportion of main comorbidities by subcontinent as well as overall was also conducted. Out of the 2,300 papers identified, 109 from 39 countries were included in this systematic review. Four groups of comorbidities were identified: parasitic and infectious diseases (44% of comorbid conditions), somatic comorbidities (37%), psychosocial (11%), as well as psychiatric comorbidities (8%). Heterogeneity was statistically significant for most variables then random effect models were used. The most frequently studied comorbidities were: neurocysticercosis (comorbid proportion: 23%, 95% CI: 18-29), head trauma (comorbid proportion: 9%, 95% CI: 5-15) malnutrition (comorbid proportion: 16%, 95% CI: 28-40), stroke (comorbid proportion: 1.3%, 95% CI: 0.2-7.0), and discrimination for education (comorbid proportion: 34%, 95% CI: 28-40). Many comorbidities of epilepsy were identified in LMICs, most of them being infectious.
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Affiliation(s)
- Aline Muhigwa
- INSERM, IRD associated unit, U1094, Neuroépidémiologie Tropicale, Institut d'Epidémiologie et de Neurologie Tropicale, CHU Limoges, GEIST, 87000, Limoges, France
- Faculté de médecine, Université officielle de Bukavu/1, Avenue Kasongo, Commune d'Ibanda, B.P. 570, Bukavu, Democratic Republic of the Congo
| | - Pierre-Marie Preux
- INSERM, IRD associated unit, U1094, Neuroépidémiologie Tropicale, Institut d'Epidémiologie et de Neurologie Tropicale, CHU Limoges, GEIST, 87000, Limoges, France.
| | - Daniel Gérard
- INSERM, IRD associated unit, U1094, Neuroépidémiologie Tropicale, Institut d'Epidémiologie et de Neurologie Tropicale, CHU Limoges, GEIST, 87000, Limoges, France
| | - Benoit Marin
- INSERM, IRD associated unit, U1094, Neuroépidémiologie Tropicale, Institut d'Epidémiologie et de Neurologie Tropicale, CHU Limoges, GEIST, 87000, Limoges, France
| | - Farid Boumediène
- INSERM, IRD associated unit, U1094, Neuroépidémiologie Tropicale, Institut d'Epidémiologie et de Neurologie Tropicale, CHU Limoges, GEIST, 87000, Limoges, France
| | - Charles Ntamwira
- Faculté de médecine, Université officielle de Bukavu/1, Avenue Kasongo, Commune d'Ibanda, B.P. 570, Bukavu, Democratic Republic of the Congo
| | - Chung-Huang Tsai
- Department of family medicine, Chung-Kang Branch, Cheng Ching hospital, Taiwan No.966.sec. 4, Taiwan Blvd. Xitun Dist., Taichung, Taiwan, ROC
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Yan D, Zhao E, Zhang H, Luo X, Du Y. Association between type 1 diabetes mellitus and risk of epilepsy: A meta-analysis of observational studies. Drug Discov Ther 2019; 11:146-151. [PMID: 28757515 DOI: 10.5582/ddt.2017.01020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
A potential association between type 1 diabetes mellitus and subsequent epilepsy emerged in recent studies. This study aimed to evaluate the possible relationship between type 1 diabetes mellitus and epilepsy using meta-analysis. Pubmed, ISI Web of Knowledge, Embase and Cochrane Library were searched for potential studies of the association between type 1 diabetes mellitus and epilepsy from inception to February 1, 2017. Two investigators independently screened studies for inclusion and extracted related data; discrepancies were solved by consensus. Random effects model of Hazard Ratio (HR) was used to estimate the strength of association. We identified 13 papers from potentially relevant articles of which 3 cohort studies met the inclusion criteria. Random effects meta-analysis showed that type 1 diabetes mellitus was associated with an increased risk of epilepsy with HR = 3.29 (95% CI: 2.61-4.14; I2 = 0, p = 0.689). Similar results were observed in type 1 diabetes mellitus patents younger than 18-years-old with HR = 2.96 (95% CI: 2.28-3.84; I2 = 0, p = 0.571). Meta-analysis of 2 studies that adjusted for potential confounders yielded an increased risk of epilepsy with HR = 2.89 (95% CI: 2.26-3.70; I2 = 0, p = 0.831). The meta-analysis indicates that type 1 diabetes mellitus is associated with a statistically significant increased risk for epilepsy compared to those without type 1 diabetes mellitus.
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Affiliation(s)
- Dandan Yan
- Department of Structural Heart Disease, the First Affiliated Hospital of Xi'an Jiaotong University
| | - Enfa Zhao
- Department of Structural Heart Disease, the First Affiliated Hospital of Xi'an Jiaotong University
| | - Hong Zhang
- Department of Neurology, the Second Affiliated Hospital of Xi'an Jiaotong University
| | - Xiaohui Luo
- Department of Structural Heart Disease, the First Affiliated Hospital of Xi'an Jiaotong University
| | - Yajuan Du
- Department of Structural Heart Disease, the First Affiliated Hospital of Xi'an Jiaotong University
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Type 1 diabetes mellitus in people with pharmacoresistant epilepsy: Prevalence and clinical characteristics. Epilepsy Res 2015. [DOI: 10.1016/j.eplepsyres.2015.05.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Abstract
Over the last years, there has been an increasing interest in the potential association between type 1 diabetes (T1D) and epilepsy. Both T1D and epilepsy are common conditions in children and adolescents, and therefore, their association might represent simply a coincidence or be related to common underlying mechanisms with a potential causal relationship. Few epidemiological studies have been performed in the pediatric population, and they have reached discordant conclusions, with some studies reporting an increased prevalence of epilepsy in children and adolescents with T1D, whereas others have not confirmed this finding. Several mechanisms could explain the occurrence of epilepsy in young people with T1D, such as metabolic abnormalities (hypo/hyperglycemia) and autoantibodies, along with a genetic predisposition and the presence of brain lesions/damage. Further studies are required to better define whether there is a causal relationship between the two conditions and to understand the underlying mechanisms.
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