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Desirable Low-Density Lipoprotein Cholesterol Levels for Preventing Stroke Recurrence: A Post Hoc Analysis of the J-STARS Study (Japan Statin Treatment Against Recurrent Stroke).
Hosomi, N, Kitagawa, K, Nagai, Y, Nakagawa, Y, Aoki, S, Nezu, T, Kagimura, T, Maruyama, H, Origasa, H, Minematsu, K, et al
Stroke. 2018;(4):865-871
Abstract
BACKGROUND AND PURPOSE To define desirable target low-density lipoprotein (LDL) cholesterol levels for the prevention of stroke recurrence, a post hoc analysis was performed in the J-STARS study (Japan Statin Treatment Against Recurrent Stroke). METHODS Subjects (n=1578) were divided into groups based on mean value of postrandomized LDL cholesterol levels until the last observation in 20 mg/dL increments. Adjusted hazard ratios (HRs) and 95% confidence intervals were analyzed for each group, with adjustments for baseline LDL cholesterol, baseline body mass index, hypertension, diabetes mellitus, and statin usage. RESULTS The postrandomized LDL cholesterol level until the last observation were 104.1±19.3 mg/dL in the pravastatin group and 126.1±20.6 mg/dL in the control group. The adjusted HRs for stroke and transient ischemic attack and all vascular events decreased in the postrandomized LDL cholesterol level of 80 to 100 mg/dL (P=0.23 and 0.25 for the trend, respectively). The adjusted HR for atherothrombotic infarction significantly reduced with the usage of statin after adjusting baseline LDL cholesterol levels (HR, 0.39; 95% confidence intervals, 0.19-0.83). The adjusted HR for atherothrombotic infarction and intracranial hemorrhage were similar among the postrandomized LDL-cholesterol-level subgroups (P=0.50 and 0.37 for the trend, respectively). The adjusted HR for lacunar infarction decreased in the postrandomized LDL cholesterol level of 100 to 120 mg/dL (HR, 0.45; 95% confidence intervals, 0.20-0.99; P=0.41 for the trend). CONCLUSIONS The composite risk of stroke and transient ischemic attack reduced in the postrandomized LDL cholesterol level of 80 to 100 mg/dL after adjusting for statin usage. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00221104.
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Pravastatin Reduces the Risk of Atherothrombotic Stroke when Administered within Six Months of an Initial Stroke Event.
Hosomi, N, Nagai, Y, Kitagawa, K, Nakagawa, Y, Aoki, S, Nezu, T, Kagimura, T, Maruyama, H, Origasa, H, Minematsu, K, et al
Journal of atherosclerosis and thrombosis. 2018;(3):262-268
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Abstract
AIMS: The J-STARS study examined whether pravastatin (10 mg/day) reduces recurrence of stroke in non-cardioembolic ischemic stroke patients who were enrolled within 1 month to 3 years after initial stroke events (ClinicalTrials.gov, NCT00221104). The main results showed that the frequency of atherothrombotic stroke was low in pravastatin-treated patients, although no effect of pravastatin was found for the other stroke subtypes. We evaluated differences of early (within 6 months) or late (after 6 months) pravastatin treatment benefits on the incidence of stroke or transient ischemic attack (TIA), as well as atherothrombotic stroke and the other subtypes. METHODS Subjects in the J-STARS study were classified into two cohorts, depending on whether they enrolled early (1 to 6 months) or late (6 months to 3 years) following initial stroke events. RESULTS A total of 1578 patients (491 female, 66.2±8.5 years) were randomly assigned to either the pravastatin group (n=793; n=426 in the early cohort, n=367 in the late cohort) or the control group (n=785; n=417 in the early cohort, n=368 in the late cohort). During the follow-up of 4.9± 1.4 years, the rate of atherothrombotic stroke was lower in the pravastatin group compared to controls in the early cohort (0.24 vs. 0.88%/year, p=0.01) but not in the late cohort (0.17 vs. 0.39%/year, p=0.29). However, this difference of pravastatin effect on atherothrombotic stroke was not significantly interacted by the early or late cohort (p=0.59). The incidence rates of other stroke subtype were not different in between pravastatin and control groups despite the timing of entry. CONCLUSIONS Pravastatin is likely to reduce atherothrombotic stroke in patients enrolled within 6 months after stroke onset. However, the clinical efficacy for prevention of recurrent stroke was not conclusive with earlier statin treatment.
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Report of the relapsed/refractory cohort of SWOG S0919: A phase 2 study of idarubicin and cytarabine in combination with pravastatin for acute myelogenous leukemia (AML).
Advani, AS, Li, H, Michaelis, LC, Medeiros, BC, Liedtke, M, List, AF, O'Dwyer, K, Othus, M, Erba, HP, Appelbaum, FR
Leukemia research. 2018;:17-20
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Abstract
Inhibition of cholesterol synthesis and uptake sensitizes acute myeloid leukemia (AML) blasts to chemotherapy. A Phase 2 study of high dose pravastatin given in combination with idarubicin and cytarabine demonstrated an impressive response rate [75% complete remission (CR), CR with incomplete count recovery (CRi)]. However, this population was a favorable risk group as eligible patients had to have a CR/CRi lasting ≥3 months following their most recent chemotherapy. Therefore, the study was amended to treat patients with poor risk disease including those with CR/CRi <6 months following their last induction regimen or with refractory disease. Here, we present results in this poor risk group. This trial included a significant number of patients with poor risk cytogenetics (43%) and poor risk molecular mutations. The response rate was 30% and approximately one-fourth of patients were able to proceed to allogeneic hematopoietic stem cell transplant (HSCT). The median overall survival for patients proceeding to allogeneic HSCT is 27.1 months. Although this trial did not meet criteria for a positive study based on the response rate (p = .062), these results are encouraging given the poor risk population and suggest that targeting the cholesterol pathway may have therapeutic benefit in AML.
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The effect of fasting status on lipids, lipoproteins, and inflammatory biomarkers assessed after hospitalization for an acute coronary syndrome: Insights from PROVE IT-TIMI 22.
Steen, DL, Umez-Eronini, AA, Guo, J, Khan, N, Cannon, CP
Clinical cardiology. 2018;(1):68-73
Abstract
BACKGROUND For decades, fasting for 8 to 12 hours has been recommended for measurement of lipid profiles. The effect of fasting on low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG) has been described in healthy cohorts and those with stable disease states. Recently, guidelines suggested that fasting may not be necessary due to its small effect on lipid measures. Little is known, however, regarding whether the impact of fasting is altered in the setting of an acute coronary syndrome (ACS). HYPOTHESIS We hypothesized that the post-ACS period would minimally effect the impact of fasting status on lipid measurements. METHODS We evaluated the association of fasting on lipid and other biomarkers at the randomization visit, which occurred at a median of 7 days after the onset of an ACS, as well as during follow-up, in a cohort of 4177 subjects from the Pravastatin or Atorvastatin Evaluation and Infection Therapy-Thrombolysis In Myocardial Infarction 22 (PROVE IT-TIMI 22) trial. RESULTS Fasting samples were independently associated with a higher LDL-C of 4.1 mg/dL and apolipoprotein-B 100 of 2.6 mg/dL as well as a lower TG of 21.0 mg/dL and high-sensitivity C-reactive protein of 0.48 mg/dL. The relative difference was 3.8% for LDL-C and -11.3% for TG. Fasting did not change total cholesterol, high-density lipoprotein cholesterol, apolipoprotein A-I, lipoprotein(a), or apolipoprotein C-III. CONCLUSIONS Although fasting does impact lipid measurements, the effect on LDL-C is small (about 4 mg/dL), both early after ACS and during follow-up. These data provide support for recent guidelines that no longer advocate for fasting lipid samples, including in the setting of ACS.
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Statin Effects on Metabolic Profiles: Data From the PREVEND IT (Prevention of Renal and Vascular End-stage Disease Intervention Trial).
Kofink, D, Eppinga, RN, van Gilst, WH, Bakker, SJL, Dullaart, RPF, van der Harst, P, Asselbergs, FW
Circulation. Cardiovascular genetics. 2017;(6)
Abstract
BACKGROUND Statins lower cholesterol by inhibiting HMG-CoA reductase, the rate-limiting enzyme of the metabolic pathway that produces cholesterol and other isoprenoids. Little is known about their effects on metabolite and lipoprotein subclass profiles. We, therefore, investigated the molecular changes associated with pravastatin treatment compared with placebo administration using a nuclear magnetic resonance-based metabolomics platform. METHODS AND RESULTS We performed metabolic profiling of 231 lipoprotein and metabolite measures in the PREVEND IT (Prevention of Renal and Vascular End-stage Disease Intervention Trial) study, a placebo-controlled randomized clinical trial designed to test the effects of pravastatin (40 mg once daily) on cardiovascular risk. Metabolic profiles were assessed at baseline and after 3 months of treatment. Pravastatin lowered low-density lipoprotein cholesterol (change in SD units [95% confidence interval]: -1.01 [-1.14, -0.88]), remnant cholesterol (change in SD units [95% confidence interval]: -1.03 [-1.17, -0.89]), and apolipoprotein B (change in SD units [95% confidence interval]: -0.98 [-1.11, -0.86]) with similar effect magnitudes. In addition, pravastatin globally lowered levels of lipoprotein subclasses, with the exception of high-density lipoprotein subclasses, which displayed a more heterogeneous response pattern. The lipid-lowering effect of pravastatin was accompanied by selective changes in lipid composition, particularly in the cholesterol content of very-low-density lipoproteinparticles. In addition, pravastatin reduced levels of several fatty acids but had limited effects on fatty acid ratios. CONCLUSIONS These randomized clinical trial data demonstrate the widespread effects of pravastatin treatment on lipoprotein subclass profiles and fatty acids. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT03073018.
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Effects of pitavastatin and pravastatin on markers of immune activation and arterial inflammation in HIV.
Toribio, M, Fitch, KV, Sanchez, L, Burdo, TH, Williams, KC, Sponseller, CA, McCurdy Pate, M, Aberg, JA, Zanni, MV, Grinspoon, SK
AIDS (London, England). 2017;(6):797-806
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OBJECTIVE Persistent immune activation is thought to contribute to increased cardiovascular disease risk in HIV and statins may help modulate systemic immune activation. We aimed to compare the effects of two key statins on markers of systemic immune activation and arterial inflammation in the HIV population. DESIGN Double-blind, active-controlled, parallel-group comparative trial performed in 45 sites. METHODS Two hundred and fifty-two antiretroviral therapy-treated HIV-infected participants with dyslipidemia were randomized (1 : 1) to pitavastatin 4 mg daily vs. pravastatin 40 mg daily in the HIV-infected patieNts and TREatment with PItavastatin vs. pravastatin for Dyslipidemia (INTREPID) trial. In this analysis of the INTREPID trial, we assessed markers of immune activation and arterial inflammation using a modified intent-to-treat population. This trial is registered with ClinicalTrials.gov (NCT01301066). RESULTS One hundred and twenty-six participants were randomized to receive pitavastatin and 126 to pravastatin. Ninety-nine participants in the pitavastatin group and 91 participants in the pravastatin group completed the study. Median age was 50 (45, 56) years [median (interquartile range)]. Baseline, low-density lipoprotein-cholestrol (LDL-C) was 153 (135, 171) mg/dl, log HIV-1 viral load was 1.1 ± 0.2 copies/ml, and CD4 cell count was 580 (439, 794) cells/μl. At week 52, the pitavastatin group had a significantly greater reduction (% change) compared with pravastatin in soluble CD14 (sCD14), (-10.0 vs. 0.6%, P = 0.02), oxidized LDL (oxLDL) (-26.9 vs. -17.5%, P = 0.02), and lipoprotein-associated phospholipase 2 (Lp-PLA2) (-26.6 vs. -15.5%, P = 0.005) (pitavastatin vs. pravastatin). CONCLUSION Fifty-two weeks of pitavastatin 4 mg daily (vs. pravastatin 40 mg daily) led to a greater reduction in select markers of immune activation and arterial inflammation (sCD14, oxLDL, and LpPLA2) among HIV-infected participants. Further work is needed to assess whether immune-modulatory effects of pitavastatin reduce cardiovascular disease risk in HIV.
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Preventive effect of pravastatin on the development of hypertension in patients with hypercholesterolemia: A post-hoc analysis of the Management of Elevated Cholesterol in the Primary Prevention Group of Adult Japanese (MEGA) Study.
Otsuka, T, Mizuno, K, Shinozaki, T, Kachi, Y, Nakamura, H
Journal of clinical lipidology. 2017;(4):998-1006
Abstract
BACKGROUND It remains unclear whether treatment of dyslipidemia with 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase inhibitors (statins) reduces the risk of developing hypertension. OBJECTIVE In this post-hoc analysis of the Management of Elevated Cholesterol in the Primary Prevention Group of Adult Japanese (MEGA) Study, a large-scale primary prevention trial with pravastatin, we examined the preventive effect of pravastatin on the future development of hypertension in patients with hypercholesterolemia. METHODS Of the overall (MEGA) Study population, 3397 nonhypertensive patients at baseline were enrolled in this study. The patients were randomly assigned to either the diet alone group (n = 1722) or the diet plus pravastatin group (n = 1675) and then were followed-up for a median of 36 months to determine new-onset hypertension. RESULTS During the follow-up period, 1595 patients developed hypertension (49.1% in the diet alone group and 44.7% in the diet plus pravastatin group). After adjusting for multiple covariates, the diet plus pravastatin group showed a 10% reduction in the risk of developing hypertension (hazard ratio 0.90, 95% confidence interval 0.81-0.998), compared with the diet alone group. Subgroup analyses revealed that the preventive effect of pravastatin on the development of hypertension was pronounced in patients aged ≥60 years, men, those with chronic kidney disease or diabetes mellitus and those without obesity. CONCLUSIONS Pravastatin reduced the risk of developing hypertension in Japanese patients with hypercholesterolemia. The risk reduction of cardiovascular disease with statins could be partly explained by their preventive effect on the development of hypertension.
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Greater remnant lipoprotein cholesterol reduction with pitavastatin compared with pravastatin in HIV-infected patients.
Joshi, PH, Miller, PE, Martin, SS, Jones, SR, Massaro, JM, D'Agostino, RB, Kulkarni, KR, Sponseller, C, Toth, PP
AIDS (London, England). 2017;(7):965-971
Abstract
OBJECTIVE Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in those with HIV. An emerging CVD risk factor is triglyceride-rich remnant lipoprotein cholesterol (RLP-C: the sum of intermediate-density lipoprotein and very low-density lipoprotein cholesterol). The effects of statin therapy on lipoprotein subfractions, including RLP-C, in HIV dyslipidemia are unknown. METHODS This is a post hoc analysis of the randomized INTREPID trial (NCT 01301066) comparing pitavastatin 4 mg daily vs. pravastatin 40 mg daily in study participants with HIV. We measured apolipoproteins AI and B and lipoprotein cholesterol subfractions separated by density gradient ultracentrifugation at baseline and 12 weeks. We compared changes in atherogenic subfractions over 12 weeks in INTREPID participants using analysis of covariance. RESULTS Lipoprotein subfraction data were available for 213 study participants (pitavastatin n = 104, pravastatin n = 109). Baseline characteristics were similar between treatment groups. Reductions in RLP-C were significantly greater in the pitavastatin group compared with pravastatin group (-11.6 mg/dl vs. -8.5 mg/dl; P = 0.01). Similarly, ratios of risk [apolipoproteins B/apolipoproteins AI, total cholesterol/high-density lipoprotein cholesterol (HDL-C)] showed greater reductions with pitavastatin (P < 0.05). There were no differences in changes in HDL-C, HDL-C subfractions or lipoprotein(a) cholesterol levels. CONCLUSION In patients with HIV, pitavastatin 4 mg/dl lowered both RLP-C and established apolipoprotein and lipid risk ratios more so than pravastatin 40 mg/dl. The impact of RLP-C reduction on CVD in HIV dyslipidemic patients merits further study.
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Effect of Statin Treatment vs Usual Care on Primary Cardiovascular Prevention Among Older Adults: The ALLHAT-LLT Randomized Clinical Trial.
Han, BH, Sutin, D, Williamson, JD, Davis, BR, Piller, LB, Pervin, H, Pressel, SL, Blaum, CS, ,
JAMA internal medicine. 2017;(7):955-965
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IMPORTANCE While statin therapy for primary cardiovascular prevention has been associated with reductions in cardiovascular morbidity, the effect on all-cause mortality has been variable. There is little evidence to guide the use of statins for primary prevention in adults 75 years and older. OBJECTIVES To examine statin treatment among adults aged 65 to 74 years and 75 years and older when used for primary prevention in the Lipid-Lowering Trial (LLT) component of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT-LLT). DESIGN, SETTING, AND PARTICIPANTS Post hoc secondary data analyses were conducted of participants 65 years and older without evidence of atherosclerotic cardiovascular disease; 2867 ambulatory adults with hypertension and without baseline atherosclerotic cardiovascular disease were included. The ALLHAT-LLT was conducted from February 1994 to March 2002 at 513 clinical sites. INTERVENTIONS Pravastatin sodium (40 mg/d) vs usual care (UC). MAIN OUTCOMES AND MEASURES The primary outcome in the ALLHAT-LLT was all-cause mortality. Secondary outcomes included cause-specific mortality and nonfatal myocardial infarction or fatal coronary heart disease combined (coronary heart disease events). RESULTS There were 1467 participants (mean [SD] age, 71.3 [5.2] years) in the pravastatin group (48.0% [n = 704] female) and 1400 participants (mean [SD] age, 71.2 [5.2] years) in the UC group (50.8% [n = 711] female). The baseline mean (SD) low-density lipoprotein cholesterol levels were 147.7 (19.8) mg/dL in the pravastatin group and 147.6 (19.4) mg/dL in the UC group; by year 6, the mean (SD) low-density lipoprotein cholesterol levels were 109.1 (35.4) mg/dL in the pravastatin group and 128.8 (27.5) mg/dL in the UC group. At year 6, of the participants assigned to pravastatin, 42 of 253 (16.6%) were not taking any statin; 71.0% in the UC group were not taking any statin. The hazard ratios for all-cause mortality in the pravastatin group vs the UC group were 1.18 (95% CI, 0.97-1.42; P = .09) for all adults 65 years and older, 1.08 (95% CI, 0.85-1.37; P = .55) for adults aged 65 to 74 years, and 1.34 (95% CI, 0.98-1.84; P = .07) for adults 75 years and older. Coronary heart disease event rates were not significantly different among the groups. In multivariable regression, the results remained nonsignificant, and there was no significant interaction between treatment group and age. CONCLUSIONS AND RELEVANCE No benefit was found when pravastatin was given for primary prevention to older adults with moderate hyperlipidemia and hypertension, and a nonsignificant direction toward increased all-cause mortality with pravastatin was observed among adults 75 years and older. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00000542.
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Regression Discontinuity Design: Simulation and Application in Two Cardiovascular Trials with Continuous Outcomes.
van Leeuwen, N, Lingsma, HF, de Craen, AJ, Nieboer, D, Mooijaart, SP, Richard, E, Steyerberg, EW
Epidemiology (Cambridge, Mass.). 2016;(4):503-11
Abstract
In epidemiology, the regression discontinuity design has received increasing attention recently and might be an alternative to randomized controlled trials (RCTs) to evaluate treatment effects. In regression discontinuity, treatment is assigned above a certain threshold of an assignment variable for which the treatment effect is adjusted in the analysis. We performed simulations and a validation study in which we used treatment effect estimates from an RCT as the reference for a prospectively performed regression discontinuity study. We estimated the treatment effect using linear regression adjusting for the assignment variable both as linear terms and restricted cubic spline and using local linear regression models. In the first validation study, the estimated treatment effect from a cardiovascular RCT was -4.0 mmHg blood pressure (95% confidence interval: -5.4, -2.6) at 2 years after inclusion. The estimated effect in regression discontinuity was -5.9 mmHg (95% confidence interval: -10.8, -1.0) with restricted cubic spline adjustment. Regression discontinuity showed different, local effects when analyzed with local linear regression. In the second RCT, regression discontinuity treatment effect estimates on total cholesterol level at 3 months after inclusion were similar to RCT estimates, but at least six times less precise. In conclusion, regression discontinuity may provide similar estimates of treatment effects to RCT estimates, but requires the assumption of a global treatment effect over the range of the assignment variable. In addition to a risk of bias due to wrong assumptions, researchers need to weigh better recruitment against the substantial loss in precision when considering a study with regression discontinuity versus RCT design.