Cholesterol management drugs known as statins are widely used and often well tolerated; however, a variety of muscle-related side effects can arise. These adverse events (AEs) can have serious impact, and form a significant barrier to therapy adherence. Surveillance of post-marketing AEs is of vital importance to understand real-world AEs and reporting differences between individual statin drugs. We conducted a review of post-approval muscle and tendon AE reports in association with statin use, to assess differences within the drug class.
We analyzed all case reports from the FDA AE Reporting System (AERS) database linking muscle-related AEs to statin use (07/01/2005–03/31/2011). Drugs examined were: atorvastatin, simvastatin, lovastatin, pravastatin, rosuvastatin, and fluvastatin.
Relative risk rates for rosuvastatin were consistently higher than other statins. Atorvastatin and simvastatin showed intermediate risks, while pravastatin and lovastatin appeared to have the lowest risk rates. Relative risk of muscle-related AEs, therefore, approximately tracked with per milligram LDL-lowering potency, with fluvastatin an apparent exception. Incorporating all muscle categories, rates for atorvastatin, simvastatin, pravastatin, and lovastatin were, respectively, 55%, 26%, 17%, and 7.5% as high, as rosuvastatin, approximately tracking per milligram potency (Rosuvastatin>Atorvastatin>Simvastatin>Pravastatin≈Lovastatin)and comporting with findings of other studies. Relative potency, therefore, appears to be a fundamental predictor of muscle-related AE risk, with fluvastatin, the least potent statin, an apparent exception (risk 74% vs rosuvastatin).
AE reporting rates differed strikingly for drugs within the statin class, with relative reporting aligning substantially with potency. The data presented in this report offer important reference points for the selection of statins for cholesterol management in general and, especially, for the rechallenge of patients who have experienced muscle-related AEs (for whom agents of lower expected potency should be preferred).
Citation:Hoffman KB, Kraus C, Dimbil M, Golomb BA (2012) A Survey of the FDA's AERS Database Regarding Muscle and Tendon Adverse Events Linked to the Statin Drug Class. PLoS ONE 7(8): e42866. doi:10.1371/journal.pone.0042866
Editor: James M. Wright, University of British Columbia, Canada
Received: March 20, 2012; Accepted: July 12, 2012; Published: August 22, 2012
Copyright: © Hoffman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding:These authors have no support or funding to report.
Competing interests: Authors Keith Hoffman, Christina Kraus, and Mo Dimbil work for Adverse Events, Inc. which produced the RxFilter software used in this paper. There is no financial conflict regarding the focus of the paper: That there are adverse event reports for statins within the FDA AERS database is not in dispute; and there is no rationale by which this company affiliation would bias a comparative analysis of agents within a class, such as that presented. Although the software will not be made available, the methods have been elucidated by which the results can be replicated without this software. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.
We sought to analyze the FDA Adverse Event Reporting System (AERS) database in order to: (i) examine relative rates of statin side effects across muscle and tendon categories, and (ii) determine if meaningful safety differences might exist between the six main statin drugs.
While others have analyzed controlled clinical trials undertaken with this class of drugs, this analysis was designed to assess links between these drugs and adverse events in large, heterogeneous “real-world” patient populations, by analyzing over seven-years of FDA adverse event case reports.
Many studies have focused on one serious statin side effect, rhabdomyolysis. We examined rhabdomyolysis, but also included less devastating muscle-related side effects. These are important in their own right, due to their greater frequency, significant effects on quality of life, and impact on statin therapy non-compliance.
Our study employed both automated and manual data analysis methods in order to obtain all relevant case reports within the FDA AERS database from July 1, 2005 to March 31, 2011.
Statins are among the most widely taken prescription medications in the world. They are intended to reduce the risk of cardiovascular disease, the leading cause of death in most industrialized nations. A shared mode of action is the inhibition of 3-hydroxy-3-methyl glutaryl coenzyme A reductase (HMG-CoA reductase), a key enzyme in the cholesterol biosynthetic pathway. Statins have a strong efficacy record in reducing cholesterol, cardiovascular events, and (in secondary prevention for men under age 70), deaths , , .
However, dose-dependent side effects occur across the statin class , , . Appreciable occurrences of muscle-related side effects were not uncovered during prerelease clinical testing of statins. In part this may be because factors that benefit cost, efficiency, and human research subject protections in clinical trials can impede the identification of adverse effects. Such factors include: (i) relative homogeneity of research subjects, (ii) self-selection of more robust subjects, and (iii) relative exclusion of elderly, subjects with comorbidities, and individuals with potential drug-drug interactions. Accordingly, side effects, including a range of muscle and tendon disorders extending from myalgia to life-threatening rhabdomyolysis, became evident primarily after the drugs won FDA approval. (For a review of suspected adverse events across the statin drug class, risk factors, and potential drug interactions that raise risk of statin myopathy, see Golomb and Evans, 2008 .) Exemplifying this, the elevated occurrence of rhabdomyolysis with cerivastatin (Baycol)  culminated in numerous deaths and the withdrawal of cerivastatin from the market. More recently, the FDA announced new safety recommendations for high dose simvastatin, citing an “increased risk of myopathy when using the 80 mg dose of simvastatin.” This warning was issued only after many years of clinical use of simvastatin, indeed among the best-selling prescription drugs, and five years after its loss of patent protection. (http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm258338.htm).
When a drug safety problem is important enough to merit regulatory action, earlier detection is presumably better, enabling more adverse events to be forestalled. Careful post-approval monitoring for adverse events is therefore vital to the continuing drug evaluation process. Systematic tools may facilitate the analysis of the vast archive that is the FDA AERS database. Accordingly, we performed a comprehensive analysis of AERS, and accompanying case report forms, to identify potentially important statin-related adverse events by combining manual searching techniques with a new AERS searching tool (the “RxFilter™” developed by AdverseEvents, Inc). While the use of the RxFilter™ significantly speeds and helps organize AERS searches, all the individual case reports that were analysed here can be obtained without the use of the searching tool. Emphasis was placed on muscle and tendon disorders, including: myopathy (general), myalgia, myositis, and rhabdomyolysis.
Data were obtained from the FDA AERS database from case reports received by the FDA between July 1, 2005 and March 31, 2011. Drugs selected for analysis were: atorvastatin (Lipitor), simvastatin (Zocor), lovastatin (Mevacor), pravastatin (Pravachol), rosuvastatin (Crestor), fluvastatin (Lescol), and generic equivalents and foreign designations. We performed a detailed search of the AERS database, and accompanying case report forms, in order to identify potentially important treatment-related side effects. Steps include the following:
I. Reorganizing Drug Name(s)
The AERS database was reorganized in order to accurately identify and aggregate all case reports for each marketed drug. Each drug name variant (including generic names, names outside the United States, misspellings, dosage descriptions, etc., as originally entered in the AERS database) was consolidated into one common name. For example, in the AERS database, atorvastatin has 810 separate designations, all of which are combined into a single name. The analysis herein included all such variants for each of the six drugs (see File S1 for full name listings).
II. Finding Adverse Event Case Reports
To determine the number of case reports associated with each drug, we cross-referenced the consolidated name as both the “primary” and “all” suspect in the FDA AERS database. We analyzed single adverse events as well as multiple events grouped into custom search lists. Such side effect categories are listed, along with the exact adverse event search terms used.
III. Estimated Prescription Rates
To estimate relative risks across the statins, we normalized the precribing frequency for each drug by summing quarterly new prescription totals (“NRx”) provided by IMS Health during the applicable time period. Over the time period from July 1, 2005 to March 31, 2011 summed NRx totals were: simvastatin 122,377,000; atorvastatin 105,289,000; rosuvastatin 35,505,000; lovastatin 26,345,000; pravastatin 27,843,000; and fluvastatin 3,238,000 , , , . Relative prescribing ratios were, accordingly: simvastatin, 1.00; atorvastatin, .8604; rosuvastatin, .2901; lovastatin, .2153; pravastatin, .2275; and fluvastatin, .0265. We also conducted a sensitivity analysis, employing the peak annual prescription figure for each drug between 2004 and 2010 (data not shown).
Duplicate case report forms (for example, those that describe the same adverse event from the same patient) were omitted from analysis. Displayed data represent the number of case report forms that link the specific adverse events with the noted statin drug as both “primary” and “all” suspect (as defined in the FDA AERS database).
A “ranked risk” calculation was derived by dividing the number of “primary suspect” and “all suspect” adverse events for each statin by its prescribing ratio during the time period of July 2005 through March 2011. In each category, the statin with the highest risk rate was designated as having a “ranked risk” value of 100. The remaining five drugs are comparison-ranked to that drug.
The purposefully broad inclusion parameters of the “Joints and Tendons,” “Muscle Atrophy and Injury,” and “Muscle Coordination and Weakness” adverse event categories represent an attempt to capture as many relevant potential cases of statin-related muscle/tendon side effects as possible.
Rosuvastatin was approved for US marketing in 2003, and is therefore the newest of the statins studied here; it is possible that reporting rates might be higher following market launch and diminish with time. To assess whether adverse event reporting rates were disproportionately high newly following the introduction of rosuvastatin, we collected yearly “primary suspect” case report totals linking all the statin drugs to: (i) rhabdomyolysis, (ii) a combined category of myalgia, myopathy, and myositis, and (iii) a non-muscle-related side effect, nausea.
We also collected “outcome measures,” such as death, disability, hospitalization, etc. (as defined within the FDA AERS database) for the main adverse event categories listed in this study.
Case Reports Analysis - Reporter Identification.
In order to determine the relative impact of various reporting sources we cross-referenced reporter identification categories (as inputted into AERS) with the major adverse event categories queried in this study.
Cases: there were a total of 39,007 “primary” and 147,789 “all” suspect case reports listed within the AERS database, across all adverse event types. Individual case report totals for muscle and tendon-related adverse events are shown in Table 1. Rosuvastatin and fluvastatin appeared to be consistently linked to higher adverse event relative risks than other commonly used statins, while atorvastatin and simvastatin showed intermediate risks, and pravastatin and lovastatin appeared to have the lowest risk rates. Relative risks, therefore, approximately tracked with per milligram (and as-prescribed) potency , though there were some apparent departures. Summing primary adverse effects across muscle categories, normed to prescribing rates, rosuvastatin had the highest ranked risk incorporating all muscle categories. Designating rosuvastatin's relative risk for combined categories as 100%, comparative rates for atorvastatin, simvastatin, pravastatin, and lovastatin were, respectively, 55%, 26%, 17%, and 7.5%. Thus, rates approximately track per mg potency and maximum prescribed potency (expected to relate to as-prescribed potency), comporting with findings of other studies that have used different approaches . Thus, relative potency appears to be a fundamental predictor of adverse effect reporting risk. Fluvastatin was a notable exception. This agent, bearing the lowest per-milligram potency, was relatively rarely prescribed, but when it was, was associated with an adverse event risk 74% as high as rosuvastatin across all categories.
A modest suggestion of higher reporting rates associated with rosuvastatin's market introduction cannot be clearly distinguished from higher adverse effect reporting for statins in general in 2004 and 5, relative to a nadir in 2006–8, then a rise again in 2009–10 (Table 2).
Table S1 represents the number of specific unfavorable outcomes (“death,” “disability,” “hospitalization - initial or prolonged,” “life-threatening,” and “required intervention to prevent permanent impairment/damage”) associated with myalgia, myopathy, myositis, and rhabdomyolysis for each drug. The final four tables represent total case report counts for each of the above outcome measures from the combination of myalgia, myopathy, myositis, and rhabdomyolysis. The majority of reports for the more serious adverse events, such as myositis and rhabdomyolysis, are generated by healthcare professionals while consumers account for higher reporting percentages for what are commonly deemed less serious side effect categories such as myalgia, or “joints and tendons” (Table S2).
Among commonly prescribed statins, rosuvastatin appears to be linked to the highest adverse event risks reported across most muscle-related side effect categories in post-marketing patient populations. Lovastatin and pravastatin appeared to have the lowest risk rates. These findings, based on a significant volume of case reports in the FDA AERS database linking statins with muscle adverse effects, corroborate and extend existing knowledge regarding the association of statin drugs with muscle-related adverse events. Our results parallel those of Sakaeda et al., 2011 , Cham et al., 2010 , and Alsheikh-Ali et al., 2005 . Additionally, the findings generally corroborate those of Cham et al., 2010 in observing that fluvastatin, an agent that was not commonly prescribed, was an apparent potency outlier . Using a patient-targeted survey approach, they demonstrated that: (i) the highest potency statins (rosuvastatin and atorvastatin) showed higher muscle adverse event rates, (ii) simvastatin, with intermediate potency, showed intermediate rates, and finally (iii) pravastatin and lovastatin, with their lower potencies, showed the lowest rates . (See Table S3 for relative dose equivalence of statins.) We think a likely reason is that fluvastatin, which is far less frequently prescribed than other statins, may be primarily reserved by physicians for patients who have failed to tolerate other statins. Disproportionate use in statin non-tolerators may produce higher apparent adverse effect rates (indeed, use of fluvastatin 80 mg for those intolerant to other statins is advised by some ). It might also be selectively used in settings in which drug interactions or other factors heighten toxicity. Alternatively, of course, fluvastatin might actually engender risk of muscle adverse effects beyond expectation for its potency. Head-to-head randomized assessments of fluvastatin versus other agents (or within-person crossover comparisons like the potency comparisons of Cham et al. ) are desirable to resolve this.
Sakaeda et al., 2011  analyzed the AERS database using methods similar to ours and found that muscle-related adverse events were more commonly observed with rosuvastatin treatment when compared with other statins such as atorvastatin and pravastatin. However, their inferences differ from our own regarding the foundation for such differences, as they do not ascribe a primary role to statin potency . Alsheikh-Ali et al., 2005 analyzed the first year of rosuvastatin AERS data against other major statins with a “first year of marketing analysis” and a “concurrent time period analysis” . Corresponding to our findings, their analysis showed that rosuvastatin had a higher risk rate for important muscle-related side effects.
Other studies that have analyzed post-marketing adverse events linked to rosuvastatin include Wolfe and Zipes et al. , . Both used data taken from the small time window of approximately one year following rosuvastatin's introduction into the US market. In contrast to our findings and those cited above, the Zipes' et al., 2006 study appeared to show no difference in risk rates between rosuvastatin and other statins . However, that study used the ratio of a given adverse event report to all adverse event reports for the drug as the index. This approach may preclude detection of even large increases in adverse events if they are proportional (all adverse events increased together), as might arise from factors like greater potency. The Wolfe 2004 paper cited high renal and muscle-related side effect rates from both pre- and post-marketing data . Wolfe specifically focused on potentially high rhabdomyolysis risks in calling for rosuvastatin to be pulled from the market .
From a pharmacokinetic perspective (without consideration of potency), rosuvastatin has a profile that might be expected to yield fewer, not more, adverse events. It has high hepatoselectivity, high hydrophilicity, low rates of metabolism via cytochrome P450 enzymes, and moderate systemic bioavailability , . Typical statements in the scientific literature appear to suggest rosuvastatin's safety equals or surpasses that of other statins, with assertions that rosuvastatin: is “safe and well tolerated,”  has a “safety profile comparable to other statins” , “has a superior safety profile,”  or even “an improved clinical safety profile” .
Our data suggest, however, that any benefits attending such factors may be overridden by other factors, such as potency considerations. Higher potency agents, and rosuvastatin in particular, were associated with elevated relative risk of adverse events. This finding has important implications for statin treatment decisions in general, and particularly with regard to patients who have already experienced muscle-related adverse events from statin therapy.
The parallels between our results and findings from prior adverse event surveys corroborate and validate the idea that valuable information can be obtained from within-class drug comparisons based solely upon AERS data. For key purposes, then, such an approach may lessen the need for, and costs associated with, separate adverse event surveys targeting individual drug classes.
This is important because of the central role of postmarketing information in the assessment of drug safety. Randomized clinical trials (RCTs) are considered the highest quality evidence for causal inference, but they have significant limitations for adverse effect detection and analysis. These include methods that exclude subjects who may have polypharmacy risks, are elderly, have comorbidities, and known risk factors for harm. Such patient-selection practices differentially exclude precisely those subjects who might be most likely to experience adverse events. Additional factors that can limit clinical trial utility for adverse effect understanding include: (i) exclusions based on statin compliance  (lower compliance is linked to statin adverse effects ), (ii) restrictive definitions for “statin myopathy” (e.g. requiring CK elevations >10× ULN), (iii) drug exposure times that are short relative to those experienced in many post-marketing consumer populations, (iv) treatment discontinuation at the first sign of a problem (yielding different findings than real-world usage), and (v) lack of comparator data across statin agents.
The relationship noted here between reported muscle-related adverse effects and statin potency (in terms of LDL reduction) does not necessarily imply that muscle adverse events are caused by lowering LDL cholesterol. The potency of LDL reduction relates to the magnitude of mevalonate inhibition, which, in turn, affects coenzyme Q10 levels, testosterone reduction in men, reduced antioxidant transport, and numerous other factors.
Postmarketing surveillance bears well-recognized limitations, such as lack of randomization, and is not intended to replace RCT approaches. Nonetheless, for the reasons noted above, RCTs are disadvantaged in adverse event detection, and case reports and postmarketing surveillance are commonly responsible for the first identification of important adverse events, including those that ultimately lead to regulatory actions such as “black box” warnings and product withdrawals , . Each approach has an important role, and complements the other to extend the understanding of drug benefits versus risks. Limitations of our analysis include: (i) the FDA AERS database is only as accurate as the information inputted into it from various sources. (ii) AERS does not filter, correct, or make any analysis of the quality or potential bias of inputted data. (iii) Exogenous factors such as publicity and marketing can influence reporting. (iv) Physicians might disproportionately report effects associated with newer drugs, and rosuvastatin is the newest of the statins studied. Our analysis, however, did not find clear support for this limitation. (v) Dose data are not available. Physicians could prescribe higher doses of one statin within the recommended dosage range. However, maximum potencies of use bear an expected relation to average potencies of use. Moreover, in the Cham analysis of adverse effects, consistent results were obtained whether looking at results by expected potency equivalencies without consideration of dose and when evaluating individual rechallenge cases with known drug and dose. Both presumed potency for the statin, and known potency based on dose and dose equivalencies, were predictors of relative adverse event rates . (vi) Reports submitted to the FDA contain mistakes, including spelling errors leading to misclassifications, important data either missing or inadequately reported, and duplicate reports; however our analysis systems included multiple processing steps, safeguards, and manual oversight to lessen the impact of such factors. (vii) Only a minority of post-marketing adverse events are believed to be successfully logged into AERS . Therefore, any calculated rates are apt to substantially underestimate the actual incidence of these side effects in broad consumer populations. We address this by use of comparative rates.
Given that: (i) relative adverse event risks appear to be higher with higher potency statins, and (ii) other data sources (meta-analyses of head to head statin trials) have demonstrated that mortality outcomes are not more favorable with higher potency statin use (except in acute coronary syndrome) , we suggest these findings favor use of lower potency statins (if statin use is clearly indicated), particularly where a previous statin myopathy has occurred.
The data presented in this report may offer important reference points regarding the selection of statins for cholesterol management in general, and especially for the rechallenge of patients that have experienced muscle-related side effects. If statin reinitiation is considered following muscle-related adverse effects, agents of lower expected potency should be preferred. We believe that our results warrant the attention of healthcare providers, drug developers, patients, and regulatory professionals involved with statins and other cholesterol-related medications. Moreover, the data mining approach employed appears promising, and may have application in evaluation of adverse reactions from other drug classes.
FDA AERS – Food and Drug Administration Adverse Events Reporting System. This listing includes the names by which each drug is known as well as any misspellings that were identified.
AERS – Adverse Events Reporting System. This file S2 delineates AERS search terms used for each adverse event category.
AEs – Adverse Events. For each muscle adverse event category this table lists the number of major clinical outcomes (e.g., death, disability, hospitalization) associated with that outcome, for each statin agent.
This shows the percent contribution to statin adverse event reports by different groups (e.g., physician, pharmacist, consumer), stratified by adverse event category and statin drug.
Conceived and designed the experiments: KBH. Performed the experiments: KBH CK MD. Analyzed the data: KBH BAG. Wrote the paper: KBH BAG. Significant critical input: KBH BAG.
- 1. Golomb BA, Parrish J, Broadwin JA (2009) Statins and mortality. On the Risk 25: 66–71.
- 2. Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, et al. (2005) Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet 366: 1267–1278. doi: 10.1016/s0140-6736(05)67394-1
- 3. Egan A, Colman E (2011) Weighing the benefits of high-dose simvastatin against the risk of myopathy. N Engl J Med 365: 285–287. doi: 10.1056/nejmp1106689
- 4. Silva M, Matthews ML, Jarvis C, Nolan NM, Belliveau P, et al. (2007) Meta-analysis of drug-induced adverse events associated with intensive-dose statin therapy. Clin Ther 29: 253–260. doi: 10.1016/j.clinthera.2007.02.008
- 5. Cham S, Evans MA, Denenberg JO, Golomb BA (2010) Statin-associated muscle-related adverse effects: a case series of 354 patients. Pharmacotherapy 30: 541–553. doi: 10.1592/phco.30.6.541
- 6. Rallidis LS, Fountoulaki K, Anastasiou-Nana M (2011) Managing the underestimated risk of statin-associated myopathy. Int J Cardiol doi: 10.1016/j.ijcard.2011.07.048
- 7. Golomb BA, Evans MA (2008) Statin adverse effects: a review of the literature and evidence for a mitochondrial mechanism. Am J Cardiovasc Drugs 8: 373–418. doi: 10.2165/0129784-200808060-00004
- 8. Psaty BM, Furberg CD, Ray WA, Weiss NS (2004) Potential for conflict of interest in the evaluation of suspected adverse drug reactions: use of cerivastatin and risk of rhabdomyolysis. Jama 292: 2622–2631. doi: 10.1001/jama.292.21.2622
- 9. IMS Health website (2004) Lipitor leads the way in 2003. Available: http://wwwims-globalcom/insight/news_story/0403/news_story_040316htm Accessed 2005 Mar 18.
- 10. IMS Health website (2006) Commonly Requested Therapeutic Class and Product Information (update February 2006). Available: http://www1imshealthcom/ims/portal/front/articleC/0,2777,6599_18731_77056778,00html Accessed 2009 Apr 17.
- 11. IMS Health website (2007) IMS Global Insights - IMS Retail Drug Monitor December 2007. Available: http://wwwimshealthcom/web/content/0,3148,64576068_63872702_70260998_83746585,00html Accessed 2011.
- 12. IMS Health website (2010) IMS Health Reports U.S. Prescription Sales Grew 5.1 Percent in 2009, to $300.3 Billion. Available: http://www.imshealth.com/portal/site/imshealth/menuitem.a46c6d4df3db4b3d88f611019418c22a/?vgnextoid=d690a27e9d5b7210VgnVCM100000ed152ca2RCRD&vgnextfmt=default. Accessed 2011.
- 13. Roberts WC (1997) The rule of 5 and the rule of 7 in lipid-lowering by statin drugs. American Journal of Cardiology 80: 106–107. doi: 10.1016/s0002-9149(97)00298-1
- 14. Sakaeda T, Kadoyama K, Okuno Y (2011) Statin-associated muscular and renal adverse events: data mining of the public version of the FDA adverse event reporting system. PLoS One 6: e28124. doi: 10.1371/journal.pone.0028124
- 15. Alsheikh-Ali AA, Ambrose MS, Kuvin JT, Karas RH (2005) The safety of rosuvastatin as used in common clinical practice: a postmarketing analysis. Circulation 111: 3051–3057. doi: 10.1161/circulationaha.105.555482
- 16. Wolfe SM (2004) Dangers of rosuvastatin identified before and after FDA approval. Lancet 363: 2189–2190. doi: 10.1016/s0140-6736(04)16513-6
- 17. Zipes DP, Zvaifler NJ, Glassock RJ, Gilman S, Munoz A, et al. (2006) Rosuvastatin: an independent analysis of risks and benefits. MedGenMed 8: 73.
- 18. McTaggart F (2003) Comparative pharmacology of rosuvastatin. Atheroscler Suppl 4: 9–14. doi: 10.1016/s1567-5688(03)00004-7
- 19. McKenney JM (2003) Pharmacologic characteristics of statins. Clin Cardiol 26: III32–38. doi: 10.1002/clc.4960261507
- 20. Kostapanos MS, Milionis HJ, Elisaf MS (2010) Rosuvastatin-associated adverse effects and drug-drug interactions in the clinical setting of dyslipidemia. Am J Cardiovasc Drugs 10: 11–28. doi: 10.2165/13168600-000000000-00000
- 21. Olsson GO (2004) Safety and efficacy of rosuvastatin. Lancet 364: 135. doi: 10.1016/s0140-6736(04)16616-6
- 22. Kones R (2010) Rosuvastatin, inflammation, C-reactive protein, JUPITER, and primary prevention of cardiovascular disease–a perspective. Drug Des Devel Ther 4: 383–413. doi: 10.2147/dddt.s10812
- 23. Paraskevas KI. Veith Symposium website. (2010) New Developments In Statin Treatment Of Importance To Vascular Specialists And Their Patients: Which Statin? What Dosage? Available: http://wwwveithsymposiumorg/viewsession2010php?site=veith&sid=337 http://veithsymposium.org/pdf/vei/3688.pdf Accessed 2012 Jul 27.
- 24. Collins R, Armitage J, Parish S, Sleigh P, Peto R (2003) MRC/BHF Heart Protection Study of cholesterol-lowering with simvastatin in 5963 people with diabetes: a randomised placebo-controlled trial. Lancet 361: 2005–2016. doi: 10.1016/s0140-6736(03)13636-7
- 25. Bruckert E, Simonetta C, Giral P (1999) Compliance with fluvastatin treatment characterization of the noncompliant population within a population of 3845 patients with hyperlipidemia. CREOLE Study Team. J Clin Epidemiol 52: 589–594. doi: 10.1016/s0895-4356(99)00019-0
- 26. McNeil JJ, Grabsch EA, McDonald MM (1999) Postmarketing surveillance: strengths and limitations. The flucloxacillin-dicloxacillin story. Medical Journal of Australia 170: 270–273.
- 27. Arnaiz JA, Carne X, Riba N, Codina C, Ribas J, et al. (2001) The use of evidence in pharmacovigilance. Case reports as the reference source for drug withdrawals. Eur J Clin Pharmacol 57: 89–91. doi: 10.1007/s002280100265
- 28. Fontanarosa PB, Rennie D, DeAngelis CD (2004) Postmarketing surveillance–lack of vigilance, lack of trust. Jama 292: 2647–2650. doi: 10.1001/jama.292.21.2647
- 29. Afilalo J, Majdan AA, Eisenberg MJ (2007) Intensive statin therapy in acute coronary syndromes and stable coronary heart disease: a comparative meta-analysis of randomised controlled trials. Heart 93: 914–921. doi: 10.1136/hrt.2006.112508
- 30. Roberts WC (1997) The rule of 5 and the rule of 7 in lipid-lowering by statin drugs. Am J Cardiol 80: 106–107. doi: 10.1016/s0002-9149(97)00298-1
- 31. Anderson E, Zink W, Xiong H, Gendelman HE (2002) HIV-1-Associated Dementia: A Metabolic Encephalopathy Perpetrated by Virus-Infected and Immune-Competent Mononuclear Phagocytes. J Acquir Immune Defic Syndr 31 Suppl 2: S43–54. doi: 10.1097/00126334-200210012-00004