scholarly journals Association Between Serum Magnesium and Glycemic Control, Lipid Profile and Diabetic Retinopathy in Type 1 Diabetes

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A457-A457
Author(s):  
Isabel Inácio ◽  
Teresa Azevedo ◽  
Sara Ferreira ◽  
Patrícia Rosinha ◽  
Márcia Alves ◽  
...  

Abstract Background: Many studies have shown an association between decreased serum magnesium (Mg) levels and poor glycemic control and dyslipidemia in patients with type 1 diabetes (T1DM). However, few studies have evaluated the association between reduced Mg levels and the diabetes complications in these patients and, in particular with diabetic retinopathy (DR), found divergent results. Aims: To evaluate the status of serum Mg levels in adults with T1DM and to assess the association between Mg levels and glycemic control, lipid profile and prevalence of DR. Methods: Retrospective study of adults with T1DM, with an ophthalmological evaluation and a serum Mg level determination. According to Mg levels, the patients were stratified into two groups: normomagnesemic (1.81–2.60 mg/dl) and hypomagnesemic (≤1.80 mg/dl) patients. Exclusion criteria were: patients on diuretics or proton-pump inhibitors, malabsorption or diarrhea, oral magnesium supplementation in recent past, pregnancy or sepsis. Results: Included 105 patients (56.2% male) with median age of 36.0 (interquartile range 16.0) years and median T1DM duration of 16.0 (12.0) years. Median HbA1c was 7.6 (1.5)% and median Mg levels was 1.96 (0.23) mg/dl. Hypomagnesemia (≤1.80 mg/dl) was detected in 20.0% (n=21) patients and 26.7% (n=28) had DR. Hypomagnesemic patients had higher HbA1c [8.2 (1.6) vs 7.5 (1.3)%, p=0.014]. There was no statistical difference in age, sex, T1DM duration or DR between the groups stratified by Mg levels. Mg levels was negatively and weakly correlated with systolic blood pressure (r=-0.200, p=0.041), HbA1c (r=-0.281, p=0.004) and BMI (r=-0.197, p=0.041). There was no correlation between Mg levels and total cholesterol, LDL-C, HDL-C or triglycerides. In multivariate logistic regression analysis, HbA1c was the only predictor of hypomagnesemia [OR=1.541 (1.027–2.312), p=0.037], after the adjustments for age, T1DM duration and BMI. There was no significant difference between patients with or without DR in relation to Mg levels [1.96 (0.28) vs 1.96 (0.19) mg/dL, p=0.986]. Also, there was no statistically significant association between Mg levels and the severity of DR or T1DM duration. In multivariate analysis, T1DM duration, male and estimated glomerular filtration rate >60mL/min/1.73m2 had independently significant association with DR after adjusting for age, glycemic control, hypertension, dyslipidemia, 25-hydroxyvitamin D and Mg levels [OR=1.194 (1.088–1.310), p=<0.001; OR=6.980 (1.654–29.450), p=0.008, and OR=0.780 (0.008–0.751), p=0.028, respectively]. Discussion: Hypomagnesemia is a common problem in adults with T1DM and it was correlated with glycemic control, although we did not find significant association between Mg levels and lipid profile or prevalence of DR. Future longitudinal studies may elucidate the causality between reduced Mg levels and the prevalence of diabetes complications.

Cureus ◽  
2022 ◽  
Author(s):  
Isabel Inácio ◽  
Teresa Azevedo ◽  
Ana Margarida Balsa ◽  
Sara Ferreira ◽  
Patrícia Rosinha ◽  
...  

Medicine ◽  
2016 ◽  
Vol 95 (47) ◽  
pp. e5166 ◽  
Author(s):  
Doaa Shahbah ◽  
Amr Abo El Naga ◽  
Tamer Hassan ◽  
Marwa Zakaria ◽  
Mohamed Beshir ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1514-P ◽  
Author(s):  
ERIC RENARD ◽  
ZSOLT BOSNYAK ◽  
FELIPE LAUAND ◽  
PAOLO POZZILLI ◽  
HIROSHI IKEGAMI ◽  
...  

2018 ◽  
Vol 22 (1) ◽  
pp. 89 ◽  
Author(s):  
Bedowra Zabeen ◽  
AnaMargarida Balsa ◽  
Nasreen Islam ◽  
Mukta Parveen ◽  
Jebun Nahar ◽  
...  

2020 ◽  
pp. 193229682095278
Author(s):  
Tara Kaushal ◽  
Lorraine E. Levitt Katz ◽  
Janet Joseph ◽  
Michelle Marowitz ◽  
Knashawn H. Morales ◽  
...  

Background: Adolescents with type 1 diabetes (T1D) have higher hemoglobin A1C (HbA1c) levels than others. In general, adolescents engage with text messaging (TM) and financial incentives, both associated with improved diabetes outcomes. This study aimed to assess the impact of a TM intervention with financial incentives on self-care behaviors and HbA1c. Methods: A six-month randomized controlled trial compared MyDiaText™, a TM education and support application, with standard care. The sample included 166 teens with T1D, 12-18 years old, attending a diabetes clinic. The intervention group received one daily TM and were instructed to respond. Participants who responded to TMs for the most consecutive days were eligible for a financial reward biweekly via lottery. All participants received prompts to complete the self-care inventory (SCI) at baseline, 90, and 180 days. HbA1c was collected at clinic visits. Changes in SCI and HbA1c were analyzed using a multilevel mixed-effects linear regression model. Intention-to-treat and per-protocol analyses were performed. Results: The median TM response rate was 59% (interquartile range 40.1%-85.2%) and decreased over time. After adjustment for baseline characteristics, in per-protocol analysis, there was a statistically significant difference in SCI score increase in those receiving one TM per day vs control ( P = .035). HbA1c decreased overall, without significant difference between groups ( P = .786). Conclusions: A TM intervention with financial incentives for adolescents with T1D in suboptimal control was associated with increasing self-care report; however, glycemic control did not differ from controls. Further research is needed to develop digital health interventions that will impact glycemic control.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Luis Forga ◽  
María José Goñi ◽  
Berta Ibáñez ◽  
Koldo Cambra ◽  
Marta García-Mouriz ◽  
...  

Aim. To determine the influence of age at onset of type 1 diabetes and of traditional vascular risk factors on the development of diabetic retinopathy, in a cohort of patients who have been followed up after onset.Methods. Observational, retrospective study. The cohort consists of 989 patients who were followed up after diagnosis for a mean of 10.1 (SD: 6.8) years. The influence of age at diagnosis, glycemic control, duration of diabetes, sex, blood pressure, lipids, BMI, and smoking is analyzed using Cox univariate and multivariate models with fixed and time-dependent variables.Results. 135 patients (13.7%) developed diabetic retinopathy. The cumulative incidence was 0.7, 5.9, and 21.8% at 5-, 10-, and 15-year follow-up, respectively. Compared to the group with onset at age <10 years, the risk of retinopathy increased 2.5-, 3-, 3.3-, and 3.7-fold in the groups with onset at 10–14, 15–29, 30–44, and >44 years, respectively. During follow-up we also observed an association between diabetic retinopathy and HbA1c levels, HDL-cholesterol, and diastolic blood pressure.Conclusion. The rate of diabetic retinopathy is higher in patients who were older at type 1 diabetes diagnosis. In addition, we confirmed the influence of glycemic control, HDL-cholesterol, and diastolic blood pressure on the occurrence of retinopathy.


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