Abstract

The protective effect of magnesium (Mg) supplementation against cisplatin (CDDP)-induced nephrotoxicity has been widely described; however, the optimal dose of Mg supplementation is unclear. The aim of this study was to investigate whether 20mEq of Mg supplementation is more effective than 8mEqMg in preventing CDDP-induced nephrotoxicity, as well as the associated risk factors, in cancer patients treated with CDDP-based chemotherapy. Pooled data of 272 patients receiving 20mEq or 8mEqMg supplementation to CDDP-based chemotherapy from a multicenter, retrospective, observational study were compared using propensity score matching. Separate multivariate logistic regression analyses were used to identify the risk factors for renal failure induced by each treatment dose. There was no significant difference in the incidence of nephrotoxicity between the 8mEq and 20mEq groups (P = 0.926). There was also no significant difference in the severity of nephrotoxicity, elevated serum creatinine levels, and decreased estimated creatinine clearance levels between the two groups. Cardiac disease and albumin levels were identified as independent risk factors for CDDP-induced nephrotoxicity. We did not find an advantage of 20mEq over 8mEqMg supplementation in terms of a preventive effect against CDDP-induced nephrotoxicity. The optimal dose of Mg supplementation for the prevention of CDDP-induced nephrotoxicity remains unknown, and further studies are warranted.

Highlights

  • Cisplatin is one of the most widely used anticancer agents, representing a key drug in the treatment of several solid cancers [1]

  • There was no significant difference in the incidence of CDDP-induced nephrotoxicity between the 8 mEq and 20 mEq groups (18.4% vs. 20.6%, P = 0.760)

  • Cardiac disease and albumin levels were identified as independent risk factors for CDDPinduced nephrotoxicity

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Summary

Methods

Pooled data of 272 patients receiving 20 mEq or 8mEq Mg supplementation to CDDP-based chemotherapy from a multicenter, retrospective, observational study were compared using propensity score matching. Separate multivariate logistic regression analyses were used to identify the risk factors for renal failure induced by each treatment dose

Results
Conclusion
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