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Serum electrolyte levels in relation to macrovascular complications in Chinese patients with diabetes mellitus

Cardiovascular Diabetology volume 12, Article number: 146 (2013) Cite this article

Abstract

Background

The prevalence of diabetes in China is increasing rapidly. However, scarce data are available on serum electrolyte levels in Chinese adults with diabetes, especially in those with cardiovascular complications. This study measured serum electrolyte levels and examined their relationship with macrovascular complications in Chinese adults with diabetes.

Methods

The three gender- and age-matched groups were enrolled into this analysis, which were 1,170 subjects with normal glucose regulation (NGR), 389 with impaired glucose regulation (IGR) and 343 with diabetes. Fasting plasma glucose (FPG), 2-hour post-load plasma glucose (2hPG), glycosylated hemoglobin A1c (HbA1c) and serum electrolyte levels were measured. Data collection included ankle brachial index results.

Results

Serum sodium and magnesium levels in the diabetes group were significantly decreased compared to the NGR group (sodium: 141.0 ± 2.4 vs. 142.1 ± 2.0 mmol/l; magnesium: 0.88 ± 0.08 vs. 0.91 ± 0.07 mmol/l, all P < 0.01), while the serum calcium level was significantly increased (2.36 ± 0.11 vs. 2.33 ± 0.09 mmol/l, P < 0.01). Multiple linear regression showed that serum sodium and magnesium levels in the diabetes group were negatively correlated with FPG, 2hPG and HbA1c (sodium: Std β = −0.35, -0.19, -0.25; magnesium: Std β = −0.29, -0.17, -0.34, all P < 0.01), while the serum calcium level was positively correlated with HbA1c (Std β = 0.17, P < 0.05). In diabetic subjects, serum sodium, magnesium and potassium levels were decreased in the subjects with the elevation of estimated glomerular filtration rates (P < 0.05). ANCOVA analysis suggested that serum magnesium level in subjects with diabetic macrovascular complications was significantly decreased compared with diabetic subjects without macrovascular complications after the effect of some possible confounding being removed (P < 0.05).

Conclusions

Serum sodium and magnesium levels were decreased in Chinese subjects with diabetes, while the observed increase in calcium level correlated with increasing glucose level. Diabetic patients with macrovascular complications had lower serum magnesium level than those with no macrovascular complications.

Introduction

The electrolytes in serum include sodium (Na+), potassium (K+), calcium (Ca2+) and magnesium (Mg2+)[1]. These electrolytes play an important role in intermediary metabolism and cellular function, including enzyme activities and electrical gradients[2]. Serum concentrations of electrolytes have been shown to change with plasma glucose levels[3]. Disturbances in the levels of some electrolytes are associated with diabetes mellitus (DM)[4–7]. In addition, hypomagnesemia and diuretic-associated hypokalemia may lead to a higher incidence of DM[8, 9], mild electrolyte changes such as low Mg2+ levels can predict mortality in type 2 DM[10] and oral magnesium supplementation reduces fasting plasma glucose levels in DM patients[11]. The Atherosclerosis Risk in Communities (ARIC) study has shown an association between low serum magnesium level and an increased risk of ischemic stroke in African Americans and Caucasians[12].

The prevalence of DM in China is increasing rapidly[13]. However, scant data are available on serum electrolyte levels in Chinese adults with diabetes, especially in those with cardiovascular complications, such as cardiovascular disease (CVD) events and peripheral arterial disease (PAD)[14]. In this study, we measured serum electrolyte levels in Chinese subjects with diabetes, to investigate the relationship between electrolytes and glucose levels, and we focus on examining the differences in serum electrolytes in diabetic patients with or without macrovascular complications.

Methods

Study population

A gender- and age- matched case–control analysis was performed based on data obtained from the follow-up study of the Shanghai Diabetes Study (SHDS) and SHDS II[15, 16]. As shown in Figure 1, this follow-up study was conducted from August 2010 to December 2011 in the Caoyang, Anting, and Huayang communities in Shanghai, China. Subjects enrolled in the analysis met the following inclusion criteria: aged 20 years or above and under 75 years, with complete serum electrolytes and fasting glucose data. Exclusion criteria included subjects once taking diuretics in the 2 weeks before being interviewed (n = 21), persistent diarrhea or vomiting (n = 0), severe renal insufficiency, which was determined using an estimated glomerular filtration rate (eGFR) <60 ml · min-1 · 1.73 m-2 (n = 34) and any self-report of type 1 diabetes mellitus (T1DM) or a history of diabetes of an unknown type (n = 39). In total, 2,723 subjects were enrolled in the study and were grouped according to their glucose tolerance. They were matched (the number ratio of subjects in each group nearly 3:1:1) according to their gender and age (5-year intervals). Then, a normal glucose regulation (NGR) group (n = 1,170), an impaired glucose regulation (IGR) group (n = 389) and a DM group (n = 343) were formed.

Figure 1
figure 1

Flow diagram of subject recruitment.

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This study was approved by the institutional review board of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital in accordance with the principle of the Helsinki Declaration II. Written informed consent was obtained from each subject before the survey.

Laboratory assessment

Subjects were invited to the local hospital between 6 and 8 am following an overnight 8–10 h fast. Venous blood samples were collected at 0 and 120 min following a 75-g oral glucose tolerance test (OGTT) for subjects without self-reported diabetes, or after the consumption of a steamed bun containing approximately 80 g of complex carbohydrates for subjects with self-reported histories of DM. Fasting blood samples were used to obtain serum electrolyte levels and other biochemical analyses. Plasma glucose, electrolytes, creatinine levels (SCr) and lipid profiles were determined with an autoanalyzer (Hitachi 7600 analyzer, Hitachi, Japan). The inter- and intra-assay coefficients of variation for Na+, K+, Ca2+, Mg2+ were 0.77% and 1.13%; 1.01% and 1.22%; 1.80% and 3.00%; and 1.15% and 1.92% respectively. Serum glycosylated hemoglobin (HbA1c) was measured using high-performance liquid chromatography. The eGFR was assessed using the following formula: eGFR (ml · min-1 · 1.73 m-2) = 186 × SCr (mg · dl-1)-1.154 × age-0.203 (for women × 0.742)[17].

Interviews and measurements

Demographic and disease history information was collected again using a standardized questionnaire during this follow-up study. The anthropometric indices of height and weight were measured while subjects were barefoot and wearing light clothing. The waist circumference (WC) was measured at the point between the costal margin and iliac crests. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared[15]. A blood pressure measurement was taken twice using a mercury sphygmomanometer and the results averaged[18]. A Doppler probe (Nicolet VersaLab SE) was used to calculate the ankle brachial index (ABI), which is equal to the highest measured arterial pressure in the ankle or foot divided the pressure in the arm on each side[19].

Definitions and diagnostic criteria

DM was defined as a fasting plasma glucose (FPG) ≥7.0 mmol/l and/or a 2-hour post-load plasma glucose (2hPG) ≥11.1 mmol/l, or on diabetic medication treatment for type 2 diabetes (T2DM). IGR was defined by an impaired fasting glucose (6.1 mmol/l < FPG <7.0 mmol/l and 2hPG <7.8 mmol/l), impaired glucose tolerance (FPG < 6.1 mmol/l and 7.8 mmol/l < 2hPG < 11.1 mmol/l), and impaired fasting glucose with impaired glucose tolerance (6.1 mmol/l < FPG <7.0 mmol/l and 7.8 mmol/l < 2hPG <11.1 mmol/l) in the follow-up[20]. Normal serum electrolyte reference ranges were used as follows: 137 mmol/l ≤ Na+ ≤ 145 mmol/l, 3.5 mmol/l ≤ K+ ≤ 5.1 mmol/l, 2.08 mmol/l ≤ Ca2+ ≤ 2.60 mmol/l, 0.65 mmol/l ≤ Mg2+ ≤ 1.05 mmol/l. Hypertension was defined as a blood pressure of >140/90 mmHg or the use of antihypertensive medications[21]. Dyslipidemia was defined as a serum triglyceride (TG) level ≥1.7 mmol/L or a high density lipoprotein cholesterol (HDL-C) level <0.9 mmol/L in men and <1.0 mmol/L in women[22].

Diabetic macrovascular complications in this study included any patient with a history of CVD events or PAD. Subjects were defined as having had CVD events if a history of coronary heart disease (CHD) or stroke was evident. Various non-fatal CVDs were determined according to the self-reports of patients, which were confirmed by their medical records. The definition of CHD included a history of hospitalization for myocardial infarction, a surgical history of coronary balloon angioplasty, coronary stent implantation or coronary artery bypass. Stroke was defined as a history of language or physical dysfunction that continued for more than 24 h, and ischemic or hemorrhagic stroke was diagnosed using imaging examinations (computed tomography or magnetic resonance imaging)[23].

According to the current guidelines proposed by the American Heart Association (AHA), PAD was identified as an ABI <0.90 in either leg. Those with an ABI >1.3 were excluded from the analysis to avoid those with significant medial artery layer calcification, which is independent of atherosclerotic plaques[24]; other individuals were considered as non-PAD[19].

Statistical methods

Summarized data are shown as mean ± standard deviation or as frequencies (%). One-way analysis of variance (one-way ANOVA) was used to compare the mean differences and the Pearson’s chi-square test was used to compare the proportional differences in demographic characteristics and serum electrolyte levels among the NGR, IGR and DM groups, or among the mildly decreased eGFR, normal eGFR and elevated eGFR groups. The linear trends of electrolyte levels within the groups were tested. Multiple linear regression analyses were used to determine the relationships between electrolytes and glucose levels. Analysis of covariance (ANCOVA) was used to compare the mean differences in electrolyte levels after adjustment by possible confounding factors between DM subjects with macrovascular complications and those without macrovascular complications. SPSS for windows (version 17.0, SPSS, Chicago, IL, USA) was used to perform the statistical analyses. The significance level was P value <0.05, and the results were adjusted with the Bonferroni correction for multiple testing.

Results

Characteristics of the study population

The gender and age distributions of all subjects prior to matching, and of the remaining unmatched subjects were shown in Table 1. After matching, an overall total of 1,902 subjects (758 men, 1,144 women) with a mean age of 57.4 ± 8.8 years participated in this study. As shown in Table 2, among the NGR, IGR and DM groups, there were no significant differences in gender or age. There were significant differences in BMI, WC, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), TG, HDL-C, SCr, eGFR, FPG, 2hPG, and HbA1c. In the DM group, 231 (65.3%) subjects had hypertension, 173 (48.9%) had dyslipidemia and 37 (10.5%) had a history of CVD events. These proportions were significantly higher in the DM group than in the NGR group. There was no significance in the proportion of individuals affected by PAD among the three groups.

Table 1 Gender and age distributions of all subjects prior to matching, and those of the unmatched and matched subjects
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Table 2 Characteristics of the subjects grouped according to glucose tolerance status
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The study included 343 subjects with diabetes (147 men, 196 women) with a mean age of 58.1 ± 8.6 years. There were 178 self-reported T2DM subjects (80 men, 98 women) in them. In the self-reported T2DM subjects, the mean diabetes duration was 9.1 ± 6.2 years and 31 (17.4%) subjects claimed to be currently receiving insulin therapy. Medications that were taken at the time of the study by individuals in the NGR, IGR and DM groups were also shown in Table 3.

Table 3 Current medication among the groups
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Serum electrolyte levels among the three groups

Among the NGR, IGR and DM groups, 9 (0.8%), 4 (1.0%) and 14 (4.1%) subjects had hyponatremia (P < 0.01), while 55 (4.7%), 17 (4.4%), and 10 (2.9%) subjects had hypernatremia (P = 0.36); 14 (1.2%), 11 (2.8%) and 2 (0.6%) had hypokalemia (P = 0.02), while 17 (1.5%), 3 (0.5%) and 4 (1.2%) subjects had hyperkalemia (P = 0.57); 6 (0.5%), 0 (0.0%) and 4 (1.2%) had hypocalcemia (P = 0.09), while 3 (0.3%), 0 (0.0%) and 3 (0.9%) subjects had hypercalcemia (P = 0.09); 0 (0.0%), 0 (0.0%) and 2 (0.6%) had hypomagnesemia (P = 0.01), while 26 (2.2%), 11 (2.8%) and 3 (0.9%) subjects had hypermagnesemia (P = 0.16).

As shown in Table 4, when compared to the NGR group, serum levels of Na+ and Mg2+ were significantly decreased (P < 0.01), while Ca2+ level was significantly increased for both genders in the DM group (P < 0.01). Serum Na+, Mg2+ and Ca2+ levels showed linear trends in the DM, IGR and NGR groups (P < 0.01).

Table 4 Serum electrolyte levels of subjects among the groups
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Serum electrolyte levels in DM subjects with different eGFRs

As shown in Table 5, DM subjects were divided into mildly decreased eGFR (eGFR 60 to 89 ml · min- · 1.73 m-2), normal eGFR (eGFR 90 to 119 ml · min- · 1.73 m-2) and elevated eGFR groups (eGFR over 120 ml · min- · 1.73 m-2). Serum Na+, Mg2+ and K+ levels were lowest in the elevated eGFR group (P < 0.01) and showed decreasing trends from the mildly decreased eGFR group, normal eGFR group to the elevated eGFR group (P < 0.01).

Table 5 Serum electrolyte levels in DM subjects stratified by eGFR.
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Correlation of electrolytes and glucose levels in subjects with DM

As shown in Table 6, serum Na+ and Mg2+ levels were negatively correlated with FPG (Pearson’s r = −0.35 and −0.29, respectively), 2hPG (Pearson’s r = −0.19 and −0.17, respectively) and HbA1c (Pearson’s r = −0.25 and −0.34, respectively; all P < 0.01), while serum Ca2+ level was positively correlated with HbA1c (Pearson’s r = 0.17; P < 0.05) after adjustment for co-variables, including gender, age, BMI, SBP, DBP, TG, HDL and eGFR levels.

Table 6 Multiple linear regression analyses of the associations between electrolyte levels and glucose levels in DM subjects
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Serum electrolyte levels in subjects with and without DM macrovascular complications

As shown in Table 7, only serum Mg2+ level was significantly lower in DM subjects with macrovascular complications compared to those without macrovascular complications. The mean value of serum Mg2+ level was 0.86 ± 0.10 mmol/L and 0.87 ± 0.08 mmol/L, respectively (P < 0.05). In detail, the mean value of serum Mg2+ level was 0.85 ± 0.11 mmol/L and 0.88 ± 0.08 mmol/L in subjects with and without CVD events, respectively, and 0.85 ± 0.10 mmol/L and 0.87 ± 0.08 mmol/L in subjects with and without PAD, respectively.

Table 7 Serum electrolyte levels in DM subjects with and without macrovascular complications
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Discussion

Derangement of water and electrolyte balances may occur in subjects with DM, resulting from insulin deficiency, hyperglycemia and hyperketonemia[25]. The present study has determined that electrolyte levels are altered among Chinese subjects with different glucose tolerance statuses. Specifically, we verified that serum Mg2+ level was reduced in Chinese subjects with diabetic macrovascular complications.

Alterations in serum electrolyte levels with elevated glucose levels

Significant reductions in serum Na+ and Mg2+ levels and an elevation in serum Ca2+ in subjects with DM were observed. These results were consistent with those reported by previous studies[6, 7, 26, 27]. Furthermore, levels of serum Na+ and Mg2+ were negatively correlated with plasma glucose levels, measured as FPG, 2hPG and HbA1c, while Ca2+ level was positively correlated with HbA1c in subjects with DM.

Previous studies have estimated that serum Na+ concentrations decrease from 0.24 mmol/l to 0.29 mmol/l for every 1.0 mmol/l decrease in glucose concentration[28, 29]. Our findings suggested there was a 0.32 mmol/l decrease of Na+ per 1.0 mmol/l fasting plasma glucose. Yajnik et al. observed that plasma Mg2+ concentrations were inversely related to plasma glucose levels in subjects with DM[30], and our results are in accordance with this.

In the present study, serum electrolyte levels of Na+ and Mg2+ decreased along with an elevation in the eGFR in subjects with DM. Under physiological conditions, most of the Na+ is reabsorbed in the proximal tubule of the kidney and Mg2+ is mostly reabsorbed in the loop of Henle[31]. Hyperglycemia-induced osmotic diuresis, which can increase excretion, is thought to be a primary mechanism underlying the decreased serum concentrations of Na+ and Mg2+ observed in response to elevated glucose levels. Additionally, overly aggressive volume re-expansion and glomerular hyperfiltration can induce renal Mg2+ wasting at the proximal tubule and the loop of Henle. Mg2+ reabsorption parallels Na+ reabsorption in the proximal tubules; therefore, volume expansion would further decrease the reabsorption of both Mg2+ and Na+[8, 32].

In addition, we found that serum Ca2+ level was positively correlated with glucose level. This observation was consistent with previous studies[27, 33, 34]. Ca2+ is mainly reabsorbed in the proximal tubule. Its reabsorption is coupled to Na+ absorption, and it appears to compete with Mg2+ for transport in the loop of Henle. In the distal convoluted tubule, Ca2+ absorption is regulated independently of Na+, where numerous factors, such as calcitonin, parathyroid hormone, and vitamin D, can have marked effects on Ca2+ reabsorption and secretion[31, 35]. Energy metabolism is associated with bone remodeling, and glucose levels also regulate parathyroid hormone and vitamin D levels[36]. This means that the excess excretion of Ca2+, induced by hyperglycemia, may be weakened by several pathways. Alternatively, the Resnick ionic hypothesis suggested that metabolic disorders, such as hypertension, metabolic syndrome, and diabetes, share a common, altered intracellular condition, characterized by decreased Mg2+ level and reciprocally elevated free intracellular Ca2+ level[37]. Intracellular Ca2+ plays a critical role in muscle contractions, insulin secretion, and glucose uptake after the binding of insulin to muscle cell membranes. The most common clinical manifestations of type 2 DM is insulin resistance, which mostly occurs in skeletal muscle, and the impairment of insulin secretion[38]. All these factors may account for the elevation of serum Ca2+ level in subjects with DM, and especially in patients whose eGFR levels are increased.

Furthermore, it has been observed that cellular membrane electrolyte transporter Na+-K+-ATPase dysfunction in diabetic subjects, can be secondary to hyperglycemia[39]. And the functions of Ca2+-Mg2+-ATPase, Na+/Ca2+ exchanger and Ca2+ pump, which are located in cell membrane, mitochondria or endoplasmic reticulum, have been shown to be impaired in diabetes[40, 41]. Electrolyte disturbances within cells can be induced by them above mentioned. The combination of intracellular and extracellular electrolyte disturbances may be implicated in the pathogenesis of neuropathy, nephropathy and vascular complications in diabetic patients.

Serum Mg2+ level is further decreased in subjects with diabetic macrovascular complications

We found that serum Mg2+ level was reduced in subjects with diabetic macrovascular complications. Ma et al. also demonstrated that, in African Americans and Caucasians, serum Mg2+ level was significantly lower in subjects with prevalent CVD and diabetes[42]. Recently, Larsson et al. performed a meta-analysis based on eight prospective studies and concluded that there was a significant inverse relationship between dietary Mg2+ intake and stroke risk[43]. It has also been observed that serum Mg2+ depletion is associated with some PAD symptoms, such as foot ulcers, in subjects with type 2 DM[44]. In addition, Resnick ionic hypothesis suggested that the intracellular Mg2+ level is generally suppressed, which summarizes the primacy of a common cellular defect in ion handling in various clinical manifestations of metabolic disorders[37]. Both decreased intracellular and extracellular Mg2+ concentrations may accelerate atherogenesis via the elevation of inflammatory cytokines and lipid oxidation, an increase in endothelial cell growth and the inhibition of cellular DNA repair[45–48].

Diabetic macrovascular complications, CVD in particular, are currently the leading cause of death for diabetic patients. It has been reported that even low Mg2+ levels that are still within the normal reference range are associated with all-cause mortality in patients with T2DM[10]. Our results would raise awareness of physicians, especially in China, and allow them to promptly correct mild electrolyte disturbances in diabetic patients. Even though many observational studies of electrolyte disturbances in patients with diabetes have consistently report that Mg2+ intervention may be extremely useful in the prevention and treatment of the cardiometabolic syndrome[49], some results of intervention studies, especially those involving daily electrolyte supplements for the prevention of DM or against diabetic complications, are controversial[50].

Strengths and limitations

The first strength was that our subjects were from a large population-based survey. The symptoms and complications of the diabetes group were relatively mild, and the effects of iatrogenic factors on electrolytes were less than in those patients who were administrated in hospital. Secondly, we matched subjects among the NGR, IGR and DM groups to reduce the significant differences in gender and age distribution. A main limitation of our study was that we only measured the total serum electrolytes levels, but not free ionized or intracellular electrolytes or levels in other biological samples from the subjects[51], which need some special apparatus to measure[52]. Although questionnaire data are of great value in collecting the information of the history of non-fatal CVDs, misclassification remains a possibility[53]. Moreover, even though the analyses were adjusted for the common risk factors of age, gender, obesity, hypertension and dyslipidemia, unmeasured factors, such as eating habits and other medications, may have indirect effects on the electrolyte regulation and interfere with the relationship between CVD and electrolyte disturbances. Our study also did not elucidate the causal relationship of serum electrolyte levels on the development of DM and diabetic macrovascular complications.

Conclusions

Our study advances our knowledge of electrolytes levels in Chinese subjects with diabetes that these subjects have decreased Na+ and Mg2+ and increased Ca2+ levels compared to normal subjects. These alterations in electrolyte levels may underlie many of the pathophysiologic and clinical characteristics of diabetes. Furthermore, significant negative associations were found between serum Na+, Mg2+ levels and glucose level respectively, while Ca2+ level was positively associated with glucose level. Of more importance, the subjects with lower serum Mg2+ level had an increased likelihood of diabetic macrovascular complications.

Abbreviations

NGR:

Normal glucose regulation

IGR:

Impaired glucose regulation

DM:

Diabetes mellitus

FPG:

Fasting plasma glucose

2hPG:

Two hour post-load plasma glucose

HbA1c:

Glycosylated hemoglobin A1c

ABI:

Ankle brachial index

eGFR:

estimated glomerular filtration rate

CVD:

Cardiovascular disease

PAD:

Peripheral arterial disease

Na+:

Sodium

K+:

Potassium

Ca2+:

Calcium

Mg2+:

Magnesium.

References

  1. Hall JE, Guyton AC: Textbook of medical physiology. 2006, St Louis, Mo: Elsevier Saunders, 228.

    Google Scholar 

  2. Lobo DN: Fluid, electrolytes and nutrition: physiological and clinical aspects. Proc Nutr Soc. 2004, 63 (3): 453-466. 10.1079/PNS2004376.

    Article  PubMed  Google Scholar 

  3. DeFronzo RA, Goldberg M, Agus ZS: The effects of glucose and insulin on renal electrolyte transport. J Clin Invest. 1976, 58 (1): 83-90. 10.1172/JCI108463.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Katz MA: Hyperglycemia-induced hyponatremia–calculation of expected serum sodium depression. N Engl J Med. 1973, 289 (16): 843-844. 10.1056/NEJM197310182891607.

    Article  CAS  PubMed  Google Scholar 

  5. Al-Rubeaan K, Siddiqui K, Abu Risheh K, Hamsirani R, Alzekri A, Alaseem A, Saleh SM, Al-Yami Z, Al-Ghamdi A, Alayed K: Correlation between serum electrolytes and fasting glucose and Hb1Ac in Saudi diabetic patients. Biol Trace Elem Res. 2011, 144 (1–3): 463-468.

    Article  CAS  PubMed  Google Scholar 

  6. Levy J, Stern Z, Gutman A, Naparstek Y, Gavin JR, Avioli LV: Plasma calcium and phosphate levels in an adult noninsulin-dependent diabetic population. Calcif Tissue Int. 1986, 39 (5): 316-318. 10.1007/BF02555197.

    Article  CAS  PubMed  Google Scholar 

  7. Simmons D, Joshi S, Shaw J: Hypomagnesaemia is associated with diabetes: Not pre-diabetes, obesity or the metabolic syndrome. Diabetes res clin practice. 2010, 87 (2): 261-266. 10.1016/j.diabres.2009.11.003.

    Article  CAS  Google Scholar 

  8. Pham PC, Pham PM, Pham SV, Miller JM, Pham PT: Hypomagnesemia in patients with type 2 diabetes. Clin J Am Soc Nephrol. 2007, 2 (2): 366-373. 10.2215/CJN.02960906.

    Article  CAS  PubMed  Google Scholar 

  9. Padwal R, Laupacis A: Antihypertensive therapy and incidence of type 2 diabetes: a systematic review. Diabetes Care. 2004, 27 (1): 247-255. 10.2337/diacare.27.1.247.

    Article  PubMed  Google Scholar 

  10. Haglin L, Tornkvist B, Backman L: Prediction of all-cause mortality in a patient population with hypertension and type 2 DM by using traditional risk factors and serum-phosphate,-calcium and-magnesium. Acta Diabetol. 2007, 44 (3): 138-143. 10.1007/s00592-007-0254-6.

    Article  CAS  PubMed  Google Scholar 

  11. Song Y, He K, Levitan E, Manson J, Liu S: Effects of oral magnesium supplementation on glycaemic control in Type 2 diabetes: a meta‒analysis of randomized double‒blind controlled trials. Diabetic med. 2006, 23 (10): 1050-1056. 10.1111/j.1464-5491.2006.01852.x.

    Article  CAS  PubMed  Google Scholar 

  12. Ohira T, Peacock JM, Iso H, Chambless LE, Rosamond WD, Folsom AR: Serum and dietary magnesium and risk of ischemic stroke: the Atherosclerosis Risk in Communities Study. Am J Epidemiol. 2009, 169 (12): 1437-1444. 10.1093/aje/kwp071.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, et al: Prevalence of Diabetes among Men and Women in China. New England J Med. 2010, 362 (12): 1090-1101. 10.1056/NEJMoa0908292.

    Article  CAS  Google Scholar 

  14. Villegas R, Gao YT, Dai Q, Yang G, Cai H, Li H, Zheng W, Shu XO: Dietary calcium and magnesium intakes and the risk of type 2 diabetes: the Shanghai women’s health study. Am J Clin Nutr. 2009, 89 (4): 1059-1067. 10.3945/ajcn.2008.27182.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Jia WP, Pang C, Chen L, Bao YQ, Lu JX, Lu HJ, Tang JL, Wu YM, Zuo YH, Jiang SY, et al: Epidemiological characteristics of diabetes mellitus and impaired glucose regulation in a Chinese adult population: the Shanghai diabetes studies, a cross-sectional 3-year follow-up study in Shanghai urban communities. Diabetologia. 2007, 50 (2): 286-292. 10.1007/s00125-006-0503-1.

    Article  CAS  PubMed  Google Scholar 

  16. Bao Y, Ma X, Li H, Zhou M, Hu C, Wu H, Tang J, Hou X, Xiang K, Jia W: Glycated haemoglobin A1c for diagnosing diabetes in Chinese population: cross sectional epidemiological survey. BMJ. 2010, 340: c2249-10.1136/bmj.c2249.

    Article  PubMed Central  PubMed  Google Scholar 

  17. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002, 39 (2 Suppl 1): S1-S266.

    Google Scholar 

  18. For a complete listing of the members of the Joint National Committee on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and the National High Blood Pressure Education Program Coordinating Committee: The sixth report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Arch Intern Med. 1997, 157 (21): 2413-2446.

    Article  Google Scholar 

  19. Hirsch AT, Haskal ZJ, Hertzer NR, Bakal CW, Creager MA, Halperin JL, Hiratzka LF, Murphy WR, Olin JW, Puschett JB, et al: ACC/AHA 2005 Practice Guidelines for the management of patients with peripheral arterial disease (lower extremity, renal, mesenteric, and abdominal aortic): a collaborative report from the American Association for Vascular Surgery/Society for Vascular Surgery, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, Society of Interventional Radiology, and the ACC/AHA Task Force on Practice Guidelines (Writing Committee to Develop Guidelines for the Management of Patients With Peripheral Arterial Disease): endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation; National Heart, Lung, and Blood Institute; Society for Vascular Nursing; TransAtlantic Inter-Society Consensus; and Vascular Disease Foundation. Circulation. 2006, 113 (11): e463-e654.

    Article  PubMed  Google Scholar 

  20. Alberti KG, Zimmet PZ: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998, 15 (7): 539-553. 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S.

    Article  CAS  PubMed  Google Scholar 

  21. Chalmers J: The 1999 WHO-ISH guidelines for the management of hypertension. Med J Aust. 1999, 171 (9): 458-459.

    CAS  PubMed  Google Scholar 

  22. Expert Panel on Metabolic Syndrome of Chinese Diabetes Society: Recommendations on metabolic syndrome of chinese diabetes society (Chinese). Chin J Diab. 2004, 12: 156-161.

    Google Scholar 

  23. Yang ZJ, Liu J, Ge JP, Chen L, Zhao ZG, Yang WY: Prevalence of cardiovascular disease risk factor in the Chinese population: the 2007–2008 China national diabetes and metabolic disorders study. Eur Heart J. 2012, 33 (2): 213-220. 10.1093/eurheartj/ehr205.

    Article  PubMed  Google Scholar 

  24. Johnson RC, Leopold JA, Loscalzo J: Vascular calcification: pathobiological mechanisms and clinical implications. Circ Res. 2006, 99 (10): 1044-1059. 10.1161/01.RES.0000249379.55535.21.

    Article  CAS  PubMed  Google Scholar 

  25. Kitabchi AE, Umpierrez GE, Murphy MB, Kreisberg RA: Hyperglycemic crises in adult patients with diabetes: a consensus statement from the American diabetes association. Diabetes Care. 2006, 29 (12): 2739-2748. 10.2337/dc06-9916.

    Article  CAS  PubMed  Google Scholar 

  26. McNair P, Madsbad S, Christiansen C, Christensen MS, Transbol I: Hyponatremia and hyperkalemia in relation to hyperglycemia in insulin-treated diabetic out-patients. Clin Chim Acta. 1982, 120 (2): 243-250. 10.1016/0009-8981(82)90161-9.

    Article  CAS  PubMed  Google Scholar 

  27. Haglin L, Backman L, Tornkvist B: A structural equation model for assessment of links between changes in serum triglycerides, -urate, and -glucose and changes in serum calcium, -magnesium and -phosphate in type 2 diabetes and non-diabetes metabolism. Cardiovasc Diabetol. 2011, 10: 116-10.1186/1475-2840-10-116.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Roscoe J, Halperin M, Rolleston F, Goldstein M: Hyperglycemia-induced hyponatremia: metabolic considerations in calculation of serum sodium depression. Can Med Assoc J. 1975, 112 (4): 452.

    PubMed Central  CAS  PubMed  Google Scholar 

  29. Hillier TA, Abbott RD, Barrett EJ: Hyponatremia: evaluating the correction factor for hyperglycemia. Am j med. 1999, 106 (4): 399-403. 10.1016/S0002-9343(99)00055-8.

    Article  CAS  PubMed  Google Scholar 

  30. Yajnik C, Smith R, Hockaday T, Ward N: Fasting plasma magnesium concentrations and glucose disposal in diabetes. British med j (Clin res ed). 1984, 288 (6423): 1032-1034. 10.1136/bmj.288.6423.1032.

    Article  CAS  Google Scholar 

  31. Guyton A, Hall J: Textbook of medical physiology. 2006, Philadelphia, PA: Elsevier Saunders, 348-381.

    Google Scholar 

  32. Vallon V, Richter K, Blantz RC, Thomson S, Osswald H: Glomerular hyperfiltration in experimental diabetes mellitus: potential role of tubular reabsorption. J Am Soc Nephrol. 1999, 10 (12): 2569-2576.

    CAS  PubMed  Google Scholar 

  33. Yamaguchi T, Kanazawa I, Takaoka S, Sugimoto T: Serum calcium is positively correlated with fasting plasma glucose and insulin resistance, independent of parathyroid hormone, in male patients with type 2 diabetes mellitus. Metabolism. 2011, 60 (9): 1334-1339. 10.1016/j.metabol.2011.02.003.

    Article  CAS  PubMed  Google Scholar 

  34. Sun G, Vasdev S, Martin GR, Gadag V, Zhang H: Altered calcium homeostasis is correlated with abnormalities of fasting serum glucose, insulin resistance, and beta-cell function in the Newfoundland population. Diabetes. 2005, 54 (11): 3336-3339. 10.2337/diabetes.54.11.3336.

    Article  CAS  PubMed  Google Scholar 

  35. Agus ZS: Hypomagnesemia. J Am Soc Nephrol. 1999, 10 (7): 1616-1622.

    CAS  PubMed  Google Scholar 

  36. Frost M, Abrahamsen B, Nielsen TL, Hagen C, Andersen M, Brixen K: Vitamin D status and PTH in young men: a cross-sectional study on associations with bone mineral density, body composition and glucose metabolism. Clin Endocrinol (Oxf). 2010, 73 (5): 573-580. 10.1111/j.1365-2265.2010.03847.x.

    Article  CAS  Google Scholar 

  37. Barbagallo M, Dominguez LJ, Resnick LM: Magnesium metabolism in hypertension and type 2 diabetes mellitus. Am J Ther. 2007, 14 (4): 375-385. 10.1097/01.mjt.0000209676.91582.46.

    Article  PubMed  Google Scholar 

  38. Bjornholm M, Zierath JR: Insulin signal transduction in human skeletal muscle: identifying the defects in Type II diabetes. Biochem Soc Trans. 2005, 33 (Pt 2): 354-357.

    Article  CAS  PubMed  Google Scholar 

  39. Shahid SM, Rafique R, Mahboob T: Electrolytes and sodium transport mechanism in diabetes mellitus. Pak J Pharm Sci. 2005, 18 (2): 6-10.

    CAS  PubMed  Google Scholar 

  40. Mikaelian NP, Gurina AE, Terent’ev AA: Dysfunction of membrane-receptor system of blood cells and kidney tissue in experimental diabetes mellitus. Bull Exp Biol Med. 2013, 154 (5): 610-613. 10.1007/s10517-013-2011-x.

    Article  CAS  PubMed  Google Scholar 

  41. Dhalla NS, Rangi S, Zieroth S, Xu YJ: Alterations in sarcoplasmic reticulum and mitochondrial functions in diabetic cardiomyopathy. Exp Clin Cardiol. 2012, 17 (3): 115-120.

    PubMed Central  CAS  PubMed  Google Scholar 

  42. Ma J, Folsom AR, Melnick SL, Eckfeldt JH, Sharrett AR, Nabulsi AA, Hutchinson RG, Metcalf PA: Associations of serum and dietary magnesium with cardiovascular disease, hypertension, diabetes, insulin, and carotid arterial wall thickness: the ARIC study. Atherosclerosis Risk in Communities Study. J Clin Epidemiol. 1995, 48 (7): 927-940. 10.1016/0895-4356(94)00200-A.

    Article  CAS  PubMed  Google Scholar 

  43. Larsson SC, Orsini N, Wolk A: Dietary magnesium intake and risk of stroke: a meta-analysis of prospective studies. Am J Clin Nutr. 2012, 95 (2): 362-366. 10.3945/ajcn.111.022376.

    Article  CAS  PubMed  Google Scholar 

  44. Rodriguez-Moran M, Guerrero-Romero F: Low serum magnesium levels and foot ulcers in subjects with type 2 diabetes. Arch Med Res. 2001, 32 (4): 300-303. 10.1016/S0188-4409(01)00298-3.

    Article  CAS  PubMed  Google Scholar 

  45. Paolisso G, Scheen A, D’Onofrio F, Lefebvre P: Magnesium and glucose homeostasis. Diabetologia. 1990, 33 (9): 511-514. 10.1007/BF00404136.

    Article  CAS  PubMed  Google Scholar 

  46. Hashimoto T, Hara A, Ohkubo T, Kikuya M, Shintani Y, Metoki H, Inoue R, Asayama K, Kanno A, Nakashita M, et al: Serum magnesium, ambulatory blood pressure, and carotid artery alteration: the Ohasama study. Am J Hypertens. 2010, 23 (12): 1292-1298. 10.1038/ajh.2010.168.

    Article  PubMed  Google Scholar 

  47. Maier JA, Malpuech-Brugere C, Zimowska W, Rayssiguier Y, Mazur A: Low magnesium promotes endothelial cell dysfunction: implications for atherosclerosis, inflammation and thrombosis. Biochim Biophys Acta. 2004, 1689 (1): 13-21. 10.1016/j.bbadis.2004.01.002.

    Article  CAS  PubMed  Google Scholar 

  48. Adhikari S, Toretsky JA, Yuan L, Roy R: Magnesium, essential for base excision repair enzymes, inhibits substrate binding of N-methylpurine-DNA glycosylase. J Biol Chem. 2006, 281 (40): 29525-29532. 10.1074/jbc.M602673200.

    Article  CAS  PubMed  Google Scholar 

  49. Barbagallo M, Dominguez LJ: Magnesium intake in the pathophysiology and treatment of the cardiometabolic syndrome: where are we in 2006?. J Cardiometab Syndr. 2006, 1 (5): 356-357. 10.1111/j.1559-4564.2006.06104.x.

    Article  PubMed  Google Scholar 

  50. Martini LA, Catania AS, Ferreira SR: Role of vitamins and minerals in prevention and management of type 2 diabetes mellitus. Nutr Rev. 2010, 68 (6): 341-354. 10.1111/j.1753-4887.2010.00296.x.

    Article  PubMed  Google Scholar 

  51. Afridi HI, Kazi TG, Kazi N, Jamali MK, Arain MB, Jalbani N, Sarfaraz RA, Shah A, Kandhro GA, Shah AQ, et al: Potassium, calcium, magnesium, and sodium levels in biological samples of hypertensive and nonhypertensive diabetes mellitus patients. Biol Trace Elem Res. 2008, 124 (3): 206-224. 10.1007/s12011-008-8142-7.

    Article  CAS  PubMed  Google Scholar 

  52. Resnick LM, Altura BT, Gupta RK, Laragh JH, Alderman MH, Altura BM: Intracellular and extracellular magnesium depletion in type 2 (non-insulin-dependent) diabetes mellitus. Diabetologia. 1993, 36 (8): 767-770. 10.1007/BF00401149.

    Article  CAS  PubMed  Google Scholar 

  53. Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ: Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004, 57 (10): 1096-1103. 10.1016/j.jclinepi.2004.04.005.

    Article  PubMed  Google Scholar 

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Acknowledgments

This work was supported by grants from the Drug Innovation Program of National Science and Technology Project (2011ZX09307-001-02), the Public Health Key Disciplines of Shanghai (12GWZX0104), and the Key Project of Science and Technology of Shanghai (09DZ1950202).

We thank all the members for their contribution to this survey, as listed below.

Hui Chen, Suying Jiang and Rong Fang, Caoyang Community Health Center, Shanghai, P.R. China; Zhiyuan Chen, Honglian Liu and Yanhong Shen, Huayang Community Health Center, Shanghai, P.R. China

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    1. Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai, 200233, China

      Shenqi Wang, Xuhong Hou, Yu Liu, Huijuan Lu, Li Wei, Yuqian Bao & Weiping Jia

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    The authors declare that they have no competing interests.

    Authors’ contributions

    Shenqi Wang and Xuhong Hou performed the statistical analysis and wrote the manuscript; Yu Liu and Huijuan Lu participated in the data collection and checked the data; Li Wei contributed to discussion; Weiping Jia and Yuqian Bao participated in the design of this study and edited the manuscript. All authors have read and approved the final manuscript.

    Shenqi Wang, Xuhong Hou contributed equally to this work.

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    Wang, S., Hou, X., Liu, Y. et al. Serum electrolyte levels in relation to macrovascular complications in Chinese patients with diabetes mellitus. Cardiovasc Diabetol 12, 146 (2013). https://doi.org/10.1186/1475-2840-12-146

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    Keywords

    Cardiovascular Diabetology

    ISSN: 1475-2840