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. 2016 Mar 22;10:1233–1234. doi: 10.2147/DDDT.S102814

The renoprotective effects of sulodexide

Rik HG Olde Engberink 1, Liffert Vogt 1,
PMCID: PMC4809327  PMID: 27042014

Dear editor

In their meta-analysis, Li et al1 reported a renoprotective benefit of sulodexide in patients with diabetic nephropathy. This was the first meta-analysis to evaluate the potential anti-albuminuric effects of sulodexide in such patients. Albuminuria reduction with renin–angiotensin–aldosterone system inhibitors is known to beneficially affect renal outcome and represents, together with blood pressure control, the cornerstone of diabetic nephropathy treatment.26 As (residual) albuminuria is closely related with renal outcome and the reduction in albuminuria is linearly correlated with renoprotection, we need additional measures to reduce the burden of diabetic nephropathy.7 The meta-analysis of Li et al1 therefore addresses a very relevant topic.

In the light of two large randomized, placebo-controlled, double-blind clinical trials that did not show any effect of sulodexide on albuminuria, the results of this meta-analysis are surprising, especially since the majority (86%) of patients that were included in this meta-analysis were derived from these trials.8,9 We want to address some crucial points that may underlie these remarkable results.

First, in their continuous outcome analysis, Li et al1 excluded the trial of Lewis et al8 for unknown reasons. In our opinion, no valid conclusions can be drawn without taking into account this trial, which represented more than a third of the patients who were included in the meta-analysis. Second, the authors assigned arbitrary weights to the other studies that were included in this analysis. For example, the well-designed, multicenter trial of Packham et al that included 1,248 patients with a mean follow-up of 11 months was assigned a 13% weight,9 while a 21.5% weight was assigned to a single-center trial that included just 36 patients with a follow-up of 3 weeks.10 The authors used a random-effects model and determined weight using the inverse variance method. However, it is unclear how the ratio of mean values and accompanying confidence intervals were calculated. The results of the study by Packham et al that were incorporated in this meta-analysis (log ratio of values 0.99, 95% confidence interval 0.68–1.44) do not seem to correspond with the data that were reported in the original paper (log ratio of values 0.97, 95% confidence interval 0.91–1.03).9 We think the authors should address more thoroughly how these treatment effects were calculated and provide data of these calculations for each study. Both the addition of the trial by Lewis et al8 and adequate assignment of weights may have a significant impact on the outcome and conclusions of this analysis.

In a second analysis, the authors assessed the treatment success of sulodexide as a binary outcome. The results of this analysis may raise some concern. First, the authors incorrectly reported that 37 patients participated in the sulodexide group of the study by Dedov et al,10 while only 18 patients were included. Second, it is unclear how the authors calculated the proportion of patients reaching this binary outcome. For instance, Dedov et al stated that “17 of the 18 sulodexide-treated patients showed a trend toward a decrease in AER”.10 This is inconsistent with the proportion of 100% that reached the binary outcome according to Li et al.1 In general, such proportions cannot be extracted from the average albuminuria changes that are often reported in studies. The authors should therefore provide more insight and data of their calculations of this binary outcome. Third, out of three sulodexide doses that were investigated by Gambaro et al,11 the authors chose to only include the highest and most effective dose. Lower sulodexide doses were no predefined reason for exclusion. It remains unclear why these groups were not taken into account. Finally, the characteristics of the included studies were represented incorrectly in their baseline table (eg, the average amount of proteinuria was not 24.5 and 38.9 g/d in the studies of Dedov et al10 and Gambaro et al,11 respectively).

Finally, in their discussion section, the authors came up with different mechanisms that may be responsible for the renoprotective effects of sulodexide that were observed in their meta-analysis.1 Besides kidney-specific effects of sulodexide, so far overlooked systemic blood pressure effects of sulodexide have recently been reported.12 Considering that blood pressure regulation is the basis for renoprotective therapy, sulodexide-induced blood pressure effects are of influence. Indeed, these blood pressure effects were shown to correlate well with changes in albuminuria.12 Improved blood pressure control by sulodexide may therefore contribute to the anti-albuminuric characteristics of this agent. Without entering the debate whether sulodexide should be further investigated for a possible renoprotective effect, the authors should revise their analysis and adjust their conclusions accordingly.

Footnotes

Disclosure

The authors report no conflicts of interest in this communication.

References

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