Literature DB >> 20031900

Number needed to treat with rosuvastatin to prevent first cardiovascular events and death among men and women with low low-density lipoprotein cholesterol and elevated high-sensitivity C-reactive protein: justification for the use of statins in prevention: an intervention trial evaluating rosuvastatin (JUPITER).

Paul M Ridker1, Jean G MacFadyen, Francisco A H Fonseca, Jacques Genest, Antonio M Gotto, John J P Kastelein, Wolfgang Koenig, Peter Libby, Alberto J Lorenzatti, Børge G Nordestgaard, James Shepherd, James T Willerson, Robert J Glynn.   

Abstract

BACKGROUND: As recently demonstrated, random allocation to rosuvastatin results in large relative risk reductions for first cardiovascular events among apparently healthy men and women with low levels of low-density lipoprotein cholesterol but elevated levels of high-sensitivity C-reactive protein. However, whether the absolute risk reduction among such individuals justifies wide application of statin therapy in primary prevention is a controversial issue with broad policy and public health implications. METHODS AND
RESULTS: Absolute risk reductions and consequent number needed to treat (NNT) values were calculated across a range of end points, timeframes, and subgroups using data from Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER), a randomized evaluation of rosuvastatin 20 mg versus placebo conducted among 17 802 apparently healthy men and women with low-density lipoprotein cholesterol <130 mg/dL and high-sensitivity C-reactive protein >or=2 mg/L. Sensitivity analyses were also performed to address the potential impact that alternative statin regimens might have on a similar primary prevention population. For the end point of myocardial infarction, stroke, revascularization, or death, the 5-year NNT within JUPITER was 20 (95% CI, 14 to 34). All subgroups had 5-year NNT values for this end point below 50; as examples, 5-year NNT values were 17 for men and 31 for women, 21 for whites and 19 for nonwhites, 18 for those with body mass index <or=25 kg/m(2) and 21 for those with body mass index greater than 25 kg/m(2), 9 and 26 for those with and without a family history of coronary disease, 19 and 22 for those with and without metabolic syndrome, and 14 and 37 for those with estimated Framingham risks greater or less than 10%. For the net vascular benefit end point that additionally included venous thromboembolism, the 5-year NNT was 18 (95% CI, 13 to 29). For the restricted "hard" end point of myocardial infarction, stroke, or death, the 5-year NNT was 29 (95% CI, 19 to 56). In sensitivity analyses addressing the theoretical utility of alternative agents, 5-year NNT values of 38 and 57 were estimated for statin regimens that deliver 75% and 50% of the relative benefit observed in JUPITER, respectively. All of these calculations compare favorably to 5-year NNT values previously reported in primary prevention for the use of statins among hyperlipidemic men (5-year NNT, 40 to 70), for antihypertensive therapy (5-year NNT, 80 to 160), or for aspirin (5-year NNT, >300).
CONCLUSIONS: Absolute risk reductions and consequent NNT values associated with statin therapy among those with elevated high-sensitivity C-reactive protein and low low-density lipoprotein cholesterol are comparable if not superior to published NNT values for several widely accepted interventions for primary cardiovascular prevention, including the use of statin therapy among those with overt hyperlipidemia. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov. Identifier NCT00239681.

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Year:  2009        PMID: 20031900     DOI: 10.1161/CIRCOUTCOMES.109.848473

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  37 in total

1.  Dietary cocoa butter or refined olive oil does not alter postprandial hsCRP and IL-6 concentrations in healthy women.

Authors:  Tine Tholstrup; Kim-Tiu Teng; Marianne Raff
Journal:  Lipids       Date:  2011-02-02       Impact factor: 1.880

2.  Withdrawing medication: managing medical comorbidities near the end of life.

Authors:  Christopher P O'Brien
Journal:  Can Fam Physician       Date:  2011-03       Impact factor: 3.275

3.  The JUPITER trial: myth or reality?

Authors:  Ryan P Morrissey; George A Diamond; Sanjay Kaul
Journal:  Curr Atheroscler Rep       Date:  2011-10       Impact factor: 5.113

4.  Statins and mortality: the untold story.

Authors:  Michael S Kostapanos; Moses S Elisaf
Journal:  Br J Clin Pharmacol       Date:  2017-03-17       Impact factor: 4.335

5.  Near-Normalization of Glucose and Microvascular Diabetes Complications: Data from ACCORD and ADVANCE.

Authors:  Patrick J O'Connor; Faramarz Ismail-Beigi
Journal:  Ther Adv Endocrinol Metab       Date:  2011-02       Impact factor: 3.565

6.  Statin Trials, Cardiovascular Events, and Coronary Artery Calcification: Implications for a Trial-Based Approach to Statin Therapy in MESA.

Authors:  Martin Bødtker Mortensen; Erling Falk; Dong Li; Khurram Nasir; Michael J Blaha; Veit Sandfort; Carlos Jose Rodriguez; Pamela Ouyang; Matthew Budoff
Journal:  JACC Cardiovasc Imaging       Date:  2017-07-25

7.  Estimated 5-Year Number Needed to Treat to Prevent Cardiovascular Death or Heart Failure Hospitalization With Angiotensin Receptor-Neprilysin Inhibition vs Standard Therapy for Patients With Heart Failure With Reduced Ejection Fraction: An Analysis of Data From the PARADIGM-HF Trial.

Authors:  Pratyaksh K Srivastava; Brian L Claggett; Scott D Solomon; John J V McMurray; Milton Packer; Michael R Zile; Akshay S Desai; Jean L Rouleau; Karl Swedberg; Gregg C Fonarow
Journal:  JAMA Cardiol       Date:  2018-12-01       Impact factor: 14.676

Review 8.  Moving beyond JUPITER: will inhibiting inflammation reduce vascular event rates?

Authors:  Paul M Ridker
Journal:  Curr Atheroscler Rep       Date:  2013-01       Impact factor: 5.113

9.  Interpreting treatment effects from clinical trials in the context of real-world risk information: end-stage renal disease prevention in older adults.

Authors:  Ann M O'Hare; John R Hotchkiss; Manjula Kurella Tamura; Eric B Larson; Brenda R Hemmelgarn; Adam Batten; Thy P Do; Kenneth E Covinsky
Journal:  JAMA Intern Med       Date:  2014-03       Impact factor: 21.873

10.  Using internally developed risk models to assess heterogeneity in treatment effects in clinical trials.

Authors:  James F Burke; Rodney A Hayward; Jason P Nelson; David M Kent
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-01-14
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