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Pitliya A, Vasudevan SS, Batra V, Patel MB, Desai A, Nethagani S, Pitliya A. Global prevalence of hypomagnesemia in type 2 diabetes mellitus - a comprehensive systematic review and meta-analysis of observational studies. Endocrine 2024; 84:842-851. [PMID: 38159172 DOI: 10.1007/s12020-023-03670-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE Hypomagnesemia, characterized by low magnesium levels, has been implicated in the pathophysiology of Type 2 Diabetes Mellitus (T2DM). This meta-analysis aims to provide a comprehensive assessment of hypomagnesemia prevalence in individuals with T2DM as well as its potential implications for diabetes management and complications. METHODS We conducted a comprehensive systematic review and meta-analysis using databases like PubMed, Google Scholar, Science Direct, and Research Gate to identify relevant studies between January 2008 and August 2023. We focused on observational studies related to serum magnesium levels and Type 2 Diabetes in individuals aged 19 and older. Newcastle Ottawa tool was used for quality assessment. A random effect meta-analysis was performed to calculate the prevalence of hypomagnesemia in T2DM. RESULTS We identified a total of 671 studies, and after screening 383 abstracts and full texts by two independent reviewers, we identified 19 eligible studies encompassing 4192 patients diagnosed with T2DM. The mean age was 55.4 (SD, 4.39) years with a mean HbA1C level of 8.01. The pooled prevalence of hypomagnesemia in T2DM was 32% (95% CI: 22-36%) out of 4192 cases. On subgroup analysis, the prevalence of hypomagnesemia in male and female were 19.8% and 20.1%, respectively. Geographically, Asia had the highest prevalence of hypomagnesemia with 31.9% (95% CI: 24-41.1%). CONCLUSION This meta-analysis highlights a significant prevalence of hypomagnesemia in individuals with T2DM, emphasizing the need for further investigation due to the intricate nature of the association between serum magnesium levels and T2DM.
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Affiliation(s)
- Aakanksha Pitliya
- Pamnani Hospital and Research Center, (Department of Medicine), Mandsaur, Madhya Pradesh, India
| | | | - Vanshika Batra
- SGT Medical College, (Student), Gurugram, Haryana, India
| | | | - Anjali Desai
- Surat Municipal Institute of Medical Education and Research, (Department of Medicine), Surat, Gujarat, India
| | - Sanjana Nethagani
- Camden Clark Medical Center/University of West Virginia, (Resident Physician, Department of Internal Medicine), Parkersburg, WV, USA
| | - Anmol Pitliya
- Camden Clark Medical Center/University of West Virginia, (Hospitalist, Department of Internal Medicine), Parkersburg, WV, USA
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Eshetu B, Worede A, Fentie A, Chane E, Fetene G, Wondifraw H, Shimelis M, Girma M, Hadgu R, Demeke K, Fasil A. Assessment of Electrolyte Imbalance and Associated Factors Among Adult Diabetic Patients Attending the University of Gondar Comprehensive Specialized Hospital, Ethiopia: A Comparative Cross-Sectional Study. Diabetes Metab Syndr Obes 2023; 16:1207-1220. [PMID: 37131504 PMCID: PMC10149060 DOI: 10.2147/dmso.s404788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/15/2023] [Indexed: 05/04/2023] Open
Abstract
Introduction Electrolyte imbalance refers to altered electrolyte levels that predominantly affect diabetic patients due to hyperglycemia which rise plasma osmolality and impaired renal function, contributing to a change in electrolyte level. Therefore, this study aimed to assess the prevalence of electrolyte imbalance and its associated factors among diabetic patients and healthy control groups attending the University of Gondar Comprehensive Specialized Hospital. Patients and Methods A comparative cross-sectional study was conducted on 130 diabetic patients and 130 diabetes-free controls. Sociodemographic, behavioral and clinical data were collected using a structured questionnaire. After measuring anthropometric parameters, 5mL of the blood sample was collected. Electrolytes were measured based on ion-selective electrode methods. Fasting blood glucose, and creatinine were measured by spectrophotometric enzyme hexokinase, and Jaffe reaction methods, respectively. The data was entered into Epi-data version 4.6 and analyzed using STATA version 14. Mann-Whitney U-tests and independent t-tests were used for comparison. Multiple logistic regression analysis was done to determine the factors associated with electrolyte imbalances. P-value <0.05 was considered statistically significant. Result The overall prevalence of electrolyte imbalance among diabetic patients and controls were 83.07% and 52.31%, respectively. The mean of Na+ and the median level of Mg2+ and Ca2+ were significantly decreased. However, the mean level of Cl- was significantly increased in diabetic patients as compared to control groups. In multivariable logistic regression: alcohol consumption AOR = 3.34 [1.02-10.9], no formal education AOR = 5.38 [1.14-25.4], hyperglycemia AOR = 6.32 [2.04-19.5], and urbanization AOR = 5.6 [1.44-22.3] showed significant association with electrolyte imbalance. Conclusion Diabetic patients have more likely to develop electrolyte imbalance than control groups. Diabetic participants showed significantly reduced Na+, Mg2+, and Ca2+ levels and significantly increasing CI- levels when compared to control groups. Hyperglycemia, alcohol drinking habits, urbanization, and no-formal education were statistically significantly associated with electrolyte imbalance.
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Affiliation(s)
- Bruktawit Eshetu
- Department of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Abebaw Worede
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Alemie Fentie
- Department of Medical Laboratory Science, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Elias Chane
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getnet Fetene
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Habtamu Wondifraw
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mahider Shimelis
- Department of Medical Laboratory Science, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Mahider Girma
- Department of Medical Laboratory Science, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia
| | - Rishan Hadgu
- Department of Medical Laboratory Science, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia
| | - Kassaw Demeke
- University of Gondar Comprehensive Specialized Hospital, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Alebachew Fasil
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Correspondence: Alebachew Fasil, Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Po Box. 196, Gondar, Ethiopia, Tel +251-918733171, Email ;
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