Dose-Dependent Effects of Statins for Patients with Aneurysmal Subarachnoid Hemorrhage: Meta-Regression Analysis

Publication date: May 2018
Source:World Neurosurgery, Volume 113
Author(s): Minh-Son To, Shivesh Prakash, Santosh I. Poonnoose, Shailesh Bihari
ObjectiveThe study uses meta-regression analysis to quantify the dose-dependent effects of statin pharmacotherapy on vasospasm, delayed ischemic neurologic deficits (DIND), and mortality in aneurysmal subarachnoid hemorrhage.MethodsProspective, retrospective observational studies, and randomized controlled trials (RCTs) were retrieved by a systematic database search. Summary estimates were expressed as absolute risk (AR) for a given statin dose or control (placebo). Meta-regression using inverse variance weighting and robust variance estimation was performed to assess the effect of statin dose on transformed AR in a random effects model. Dose-dependence of predicted AR with 95% confidence interval (CI) was recovered by using Miller's Freeman–Tukey inverse.ResultsThe database search and study selection criteria yielded 18 studies (2594 patients) for analysis. These included 12 RCTs, 4 retrospective observational studies, and 2 prospective observational studies. Twelve studies investigated simvastatin, whereas the remaining studies investigated atorvastatin, pravastatin, or pitavastatin, with simvastatin-equivalent doses ranging from 20 to 80 mg. Meta-regression revealed dose-dependent reductions in Freeman–Tukey-transformed AR of vasospasm (slope coefficient −0.00404, 95% CI −0.00720 to −0.00087; P = 0.0321), DIND (slope coefficient −0.00316, 95% CI −0.00586 to −0.00047; P = 0.0392), and mortality (slope coefficient −0.00345, 95% CI −0.00623 to −0.00067; P = 0.0352).ConclusionsThe present meta-regression provides weak evidence for dose-dependent reductions in vasospasm, DIND and mortality associated with acute statin use after aneurysmal subarachnoid hemorrhage. However, the analysis was limited by substantial heterogeneity among individual studies. Greater dosing strategies are a potential consideration for future RCTs.



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