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Cited by 29,627

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Magnesium Replacement Improves the Metabolic Profile in Obese and Pre-Diabetic Patients with Mild-to-Moderate Chronic Kidney Disease: A 3-Month, Randomised, Double-Blind, Placebo-Controlled Study

Open access
Toprak, Omer, Kurt, Huseyin, Sarı, Yasin, Şarkış, Cihat, Us, Halil, Kırık, Ali·2017·Kidney and Blood Pressure Research
DOI 10.1159/000468530
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Abstract

Background/Aims: Magnesium is an essential mineral for many metabolic functions. There is very little information on the effect of magnesium supplementation on metabolic profiles of chronic kidney disease (CKD) patients. The aim of this study was to assess the influence of magnesium supplementation on metabolic profiles of pre-diabetic, obese and mild-to-moderate CKD patients with hypomagnesemia. Methods: A total of 128 hypomagnesemic, pre-diabetic and obese patients with an estimated glomerular filtration rate between 90 and 30 ml/min/1.73m 2 were enrolled in a randomised, double-blind, placebo-controlled trial. Patients in the magnesium group received 365 mg of oral magnesium (n = 57) once daily for 3 months, while patients in the control group received a placebo (n = 61), also once daily for 3 months. Hypomagnesemia is defined by a serum magnesium level <1.8 mg/dl in males and <1.9 mg/dl in females; obesity is defined as a body mass index ≥30 kg/m 2; and pre-diabetes is defined as fasting plasma glucose ≥100 but <126 mg/dl. The primary end point of the study was the change in insulin resistance measured by the homeostastic model assessment for insulin resistance (HOMA-IR). Results: At the end of follow-up, insulin resistance (-24.5 vs. -8.2%, P = 0.007), HOMA-IR index (-31.9 vs. -3.3%, P < 0.001), hemoglobin A1c (-6.6 vs. -0.16%, P < 0.001), insulin (-29.6 vs. -2.66%, P < 0.001), waist circumference (-4.8 vs. 0.55%, P < 0.001) and uric acid (-0.8 vs. 2.2%, P = 0.004) were significantly decreased in terms of mean changes; albumin (0.91 vs. -2.91%, P = 0.007) and magnesium (0.21 ± 0.18 vs. -0.04 ± 0.05 mg/dl, P < 0.001) were significantly increased in those taking magnesium compared with a placebo. The decrease in metabolic syndrome (-10.5 vs. -4.9%, P = 0.183), obesity (-15.7 vs. -8.2%, P = 0.131), pre-diabetes (-17.5 vs. -9.8%, P = 0.140), and systolic (-5.0 ± 14.8 vs. 0.22 ± 14.9 mm Hg, P = 0.053) and diastolic (-3.07 ± 9.7 vs. 0.07 ± 9.6 mm Hg, P = 0.071) blood pressure did not achieve to a significant level after study. Conclusion: Our data support the argument that magnesium supplementation improves the metabolic status in hypomagnesemic CKD patients with pre-diabetes and obesity.

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Cites

Show all 9 references

Research works printed but not linked: 40

  1. 10.1093/ndtplus/sfr165 · DOI
  2. 10.1016/j.phrs.2016.06.019 · DOI
  3. 10.1007/s40620-014-0140-6 · DOI
  4. 10.1038/ki.2014.331 · DOI
  5. 10.2337/dc13-1397 · DOI
  6. 10.2215/CJN.07891109 · DOI · Paper page
  7. 10.1016/j.amjmed.2013.02.036 · DOI
  8. 10.1016/j.ejcdt.2015.04.010 · DOI
  9. 10.1016/j.arcmed.2014.05.003 · DOI
  10. 10.1016/j.atherosclerosis.2008.11.028 · DOI
  11. 10.2337/dc16-0798 · DOI
  12. 10.1001/jama.285.19.2486 · DOI · Paper page
  13. 10.3402/fnr.v59.25974 · DOI
  14. 10.1016/j.diabres.2009.11.003 · DOI
  15. 10.2337/diacare.26.4.1147 · DOI · Paper page
  16. 10.1053/j.ajkd.2015.06.014 · DOI
  17. 10.1053/j.ajkd.2015.05.024 · DOI
  18. 10.1038/ki.2013.327 · DOI · Paper page
  19. 10.1111/j.1365-2362.2008.01957.x · DOI
  20. 10.1016/j.ejim.2016.06.015 · DOI
  21. 10.1159/000368478 · DOI
  22. 10.1016/S1262-3636(07)70116-7 · DOI
  23. 10.1111/j.1463-1326.2010.01332.x · DOI
  24. 10.1016/j.diabet.2015.03.010 · DOI
  25. 10.1016/j.arcmed.2014.04.006 · DOI
  26. 10.1684/mrh.2012.0322 · DOI
  27. 10.1684/mrh.2014.0361 · DOI
  28. 10.3945/ajcn.110.002949 · DOI
  29. 10.1007/s005920200036 · DOI
  30. 10.14740/jocmr1580w · DOI
  31. 10.2337/dc10-0994 · DOI · Paper page
  32. 10.2337/dc09-1402 · DOI
  33. 10.1097/BOR.0b013e32835d951e · DOI
  34. 10.1016/j.maturitas.2011.07.007 · DOI
  35. 10.2337/dc12-0226 · DOI
  36. 10.5414/CNP63429 · DOI
  37. 10.1093/ndt/gfh831 · DOI
  38. 10.1111/tri.12287 · DOI
  39. 10.1159/000346427 · DOI
  40. 10.1097/00004872-200302000-00025 · DOI

Cited by

Items 201–300 of 759

Metadata

Authors
Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A.
Venue
Kidney and Blood Pressure Research
Publisher
S. Karger AG
Published
2017
Volume
42
Issue
1
Pages
33-42
ISSN
  • 1420-4096 (ISSN-L)
  • 1423-0143
DOI
10.1159/000468530
OpenAlex
W2607031541
Cited by
29,627
References
9
FWCI
1670.25
Type
journal article
Language
en
Open access
gold
Licence

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