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This secondary analysis of findings from a trial that assessed the effect of low-density lipoprotein cholesterol levels in patients with coronary artery disease shows that body-weight fluctuation was associated with an increased risk of death and cardiovascular events. Obesity is an independent risk factor for cardiovascular death and disease. 1 , 2 Among participants in the Framingham Heart Study who were between 35 and 75 years of age and were followed for up to 44 years, overweight and obese participants were at a higher risk for the development of cardiovascular disease than participants of normal weight. 3 Weight gain is strongly associated with an increased risk of death and disease among participants without evident cardiovascular disease at baseline. 4 , 5 Indeed, in obese persons, bariatric surgery followed by weight loss reduces the risk of cardiovascular disease, including hypertension, hypercholesterolemia, and diabetes. 6 – . . .

In patients with previous myocardial infarction (MI), aggressive hypertension control and low-density lipoprotein cholesterol (LDL-C) reduction are important secondary prevention measures. However, residual risk remains despite aggressive treatment. Whether variability in blood pressure (BP) and LDL-C can explain this residual risk is not known. Patients enrolled in the Incremental Decrease in End Points Through Aggressive Lipid-Lowering trial with at least 1 post-baseline measurement of LDL-C and blood pressure (BP) were included. Visit-to-visit LDL-C and BP variabilities were evaluated using various measures of variability. Primary outcome was any coronary event with the secondary outcomes of any cardiovascular event (CV), MI, stroke, death, and CV death. Among the 8,658 patients included, each 1-SD (10.8 mg/dl) increase in LDL-C variability increased the risk of any coronary event (adjusted HR [HRadj] 1.07; 95% CI 1.04 to 1.11; p <0.0001), any CV event, MI, and death (HRadj 1.19; 95% CI 1.14 to 1.25; p <0.0001). Similarly, each 1-SD (7.2 mm Hg) increase in systolic BP variability increased the risk of any coronary event (HRadj 1.15; 95% CI 1.10 to 1.20; p <0.0001), any CV event, MI, stroke, death (HRadj 1.28; 95% CI 1.18 to 1.38; p <0.0001), and CV death. Compared with the group with low variability for both LDL-C and systolic BP, the group with high variability for both had a significant increase in any coronary event (HRadj 1.48; 95% CI 1.30 to 1.70), any CV event (HRadj 1.43; 95% CI 1.27 to 1.61), and MI (HRadj 1.87; 95% CI 1.46 to 2.41). In conclusions, in patients with a history of MI, variabilities in LDL-C and BP are powerful and independent predictors of CV events including death.

Several plasma non-lipid biomarkers have been shown to predict major cardiovascular events (MCVEs) in population studies. Our objective was to investigate the relationship between lipid and non-lipid biomarkers levels achieved during statin therapy and the incidence of MCVEs in patients with stable coronary heart disease (CHD). We conducted a substudy of the TNT (Treating to New Targets) study, which was a randomized trial that compared the efficacy of high (80 mg) versus low (10 mg) dose atorvastatin for the secondary prevention of CHD. Fasting plasma levels of standard lipids and of 18 non-lipid biomarkers were obtained after an 8-week run-in period on atorvastatin 10 mg in 157 patients who experienced MCVEs during the 4.9 years of study follow-up and in 1349 controls. MCVE was defined as CHD death, nonfatal, non-procedure-related myocardial infarction, resuscitated cardiac arrest, and fatal or nonfatal stroke. After adjusting for age, sex and treatment arm, plasma levels of high-density lipoprotein (HDL) cholesterol, triglycerides, high-sensitivity C-reactive protein (hsCRP), insulin, neopterin, N-terminal pro-brain natriuretic peptide (BNP), lipoprotein(a) [Lp(a)], and the soluble receptor for advanced glycation end products (sRAGE) were predictive of recurrent MCVEs (P ≤ 0.02 for each doubling of plasma concentration). However, no significant association was observed between the risk of recurrent MCVEs and plasma levels of low-density lipoprotein cholesterol, adiponectin, cystatin C, lipoprotein-associated phospholipase A2, monocyte chemotactic protein-1, matrix metalloproteinase-9, myeloperoxidase, osteopontin, soluble CD40 ligand, soluble intercellular adhesion molecule-1, or soluble vascular cell adhesion molecule-1. After further adjustment for diabetes, hypertension, smoking, and BMI, the relationship between hsCRP, insulin and MCVE were no longer significant, while the relationship between Lp(a), neopterin, NT-proBNP and sRAGE and MCVE remained statistically significant. In conclusion, in patients with CHD treated with atorvastatin, plasma levels of Lp(a), neopterin, NT-proBNP, and sRAGE are associated with the risk of recurrent MCVEs. ClinicalTrials.gov NCT00327691.

A recent study has shown an association between high-potency statins and risk of acute kidney injury. However, these data are from observational studies, and it is not clear if similar signal is seen from randomized controlled trials. We evaluated the risk of renal-associated serious adverse events (SAEs) using statins versus placebo trials and the high-dose versus low-dose statin trials that were available to us. The outcome of interest was renal-related SAEs. The incidence of adverse events relating to kidney injury was determined through review of the adverse event database. The following outcomes were evaluated: (1) renal-related SAEs within 120 days of randomization (primary outcome), (2) renal-related SAEs after 120 days of randomization (secondary), and (3) drug discontinuation due to renal-related SAEs (secondary). There was no difference in the incidence of renal-related SAEs at 120 days (0.04% vs 0.10%, p = 0.162) between atorvastatin and placebo in the 24 placebo-controlled trials (10,345 patients on atorvastatin (10 to 80 mg/day) versus 8,945 patients on placebo) or in the high-dose versus low-dose statin trials including the Incremental Decrease in End Points Through Aggressive Lipid Lowering (IDEAL) study (0.05% vs 0.02%, p = 0.625) or the Treating to New Targets (TNT) trial (0.0% vs 0.04%, p = 0.500) trial. Results were similar for renal-related SAEs after 120 days (placebo controlled trials [0.38% vs 0.36%, p = 0.905], IDEAL trial [0.56% vs 0.65%, p = 0.683], or the TNT trial [0.76% vs 1.04%, p = 0.168]) and for drug withdrawal due to renal-related SAE (placebo controlled trials [0.05% vs 0.04%, p = 1.00], IDEAL trial [0.02% vs 0.0%, p = 0.499], or the TNT trial [0.08% vs 0.12%, p = 0.754]). In conclusion, the results from clinical trials with data from 149,882 patient-years of follow-up fail to show any increase in renal-related SAEs with statins compared with controls.

Features of the metabolic syndrome are independent risk factors for new-onset diabetes mellitus (NODM) related to statin therapy. Obesity is the predominant underlying risk factor for the metabolic syndrome and diabetes mellitus. This study investigated whether change in body weight may predict NODM in statin-treated patients. A total of 7,595 patients without prevalent diabetes mellitus at baseline from the Treating to New Targets (TNT) study were included in this analysis. They were randomized to atorvastatin 10 or 80 mg/day and monitored for a median of 4.9 years. NODM developed in 659 patients (8.1% in the 10-mg group and 9.2% in the 80-mg group). There was a significant increase in body weight (0.9 kg, p <0.01 in both men and women) over 1 year after randomization. The increase in body weight was greater in patients with NODM than those without NODM (1.6 vs 0.9 kg, p <0.001). The association of change in body weight with NODM risk remained significant after adjusting for confounding factors (hazard ratios 1.33, 1.42, and 1.88 for quartiles 2, 3, and 4 compared with quartile 1, respectively). Similar results were obtained in patients with normal fasting glucose level. In conclusion, 1-year change in body weight is predictive of NODM in patients who underwent statin therapy from the TNT trial. Our study highlights the importance of weight control as a lifestyle measure to prevent statin-related NODM.

Clinical trials have not provided evidence for a role of statin therapy in reducing aortic valve stenosis (AVS) severity in patients with documented AVS. However, whether statin therapy could prevent the onset of AVS is unknown. Our objectives were (1) to compare the incidence rates of AVS among patients treated with high-dose versus usual-dose statin or placebo and (2) to identify clinical risk factors associated with the development of AVS. We conducted post hoc analyses in 23,508 participants from 3 large-scale multicenter atorvastatin randomized blinded clinical trials: Treating to New Targets, the Incremental Decrease in End Points Through Aggressive Lipid Lowering, and the Stroke Prevention by Aggressive Reduction in Cholesterol Levels. The main outcome measure was the incidence of clinical AVS over a median follow-up of 4.9 years (82 cases). Among patients who developed AVS, 39 (47.6%) were treated with atorvastatin 80 mg and 43 (52.4%) were treated with lower dose statin (atorvastatin 10 mg in Treating to New Targets, simvastatin 20 to 40 mg in Incremental Decrease in End Points Through Aggressive Lipid Lowering, or placebo in Stroke Prevention by Aggressive Reduction in Cholesterol Levels; hazard ratio [HR] 0.91, 95% confidence interval [CI] 0.59 to 1.41, p = 0.67). In multivariate analyses forcing treatment, sex, and race into the model, factors that were significantly associated with AVS included age (HR 2.17, 95% CI 1.61 to 2.93, p <0.0001 per 1-SD increment), diabetes (HR 1.67, 95% CI 1.00 to 2.80, p = 0.05), vitamin K antagonist use (HR 3.25, 95% CI 2.06 to 5.16, p <0.0001), and previous statin use (HR 2.65, 95% CI 1.54 to 4.60, p = 0.0008). In conclusion, random allocation to high-dose versus usual-dose statin therapy or placebo did not impact the incidence of AVS among patients without known AVS. Age, diabetes, vitamin K antagonists, and previous statin use were significant predictors of incident AVS in these high-risk patients.

Whether biomarkers associated with cardiovascular disease risk also predict incident diabetes mellitus (DM) is unknown. Our objective was to determine if a panel of 18 biomarkers previously associated with risk of cardiovascular disease also predicts incident DM in statin-treated patients with coronary artery disease (CAD). The Treating to New Targets (TNT) study is a randomized trial that compared the efficacy of high (80 mg) versus low (10 mg) dose atorvastatin for the secondary prevention of coronary heart disease events. Fasting plasma levels of standard lipids and of 18 emerging CAD risk biomarkers were obtained after an 8-week run-in period on atorvastatin 10 mg in a random sample of 1,424 TNT patients. After exclusion of patients with DM at baseline (n = 253), 101 patients developed DM during the median follow-up of 4.9 years. Patients with incident DM had lower levels of total and high-molecular weight adiponectin, lipoprotein-associated phospholipase A2 (Lp-PLA2), soluble receptor of advanced glycation end products, and vitamin D compared with patients without incident DM. In contrast, insulin, soluble CD40 ligand, and soluble intercellular adhesion molecule-1 levels were higher in patients with incident DM compared with those without. Plasma levels of C-reactive protein, cystatin C, lipoprotein(a), monocyte chemotactic protein-1, matrix metalloproteinase-9, myeloperoxidase, neopterin, N-terminal fragment of pro–B-type natriuretic peptide, osteopontin, and soluble vascular cell adhesion molecule-1 were comparable in patients with and without incident DM. After multivariate adjustment, total and high-molecular weight adiponectin as well as Lp-PLA2 were negatively associated with incident DM. Results of this study suggest that plasma lipids and some emerging CAD risk biomarkers, such as adiponectin and Lp-PLA2, may be useful for predicting incident DM in statin-treated patients with stable CAD.

Background: LDL can vary considerably in its cholesterol content; thus, lowering LDL cholesterol (LDLC) as a goal of statin treatment implies the existence of considerable variation in the extent to which statin treatment removes circulating LDL particles. This consideration is particularly applicable in diabetes mellitus, in which LDL is frequently depleted of cholesterol. Methods: Type 2 diabetes patients randomly allocated to 10 mg/day atorvastatin (n = 1154) or to placebo (n = 1196) for 1 year were studied to compare spontaneous and statin-induced apolipoprotein B (apo B) concentrations (a measure of LDL particle concentration) at LDLC and non-HDL cholesterol (non-HDLC) concentrations proposed as statin targets in type 2 diabetes. Results: Patients treated with atorvastatin produced lower serum apo B concentrations at any given LDLC concentration than patients on placebo. An LDLC concentration of 1.8 mmol/L (70 mg/dL) during atorvastatin treatment was equivalent to a non-HDLC concentration of 2.59 mmol/L (100 mg/dL) or an apo B concentration of 0.8 g/L. At the more conservative LDLC targets of 2.59 mmol/L (100 mg/dL) and 3.37 mmol/L (130 mg/dL) for non-HDLC, however, the apo B concentration exceeded the 0.9-g/L value anticipated in the recent Consensus Statement from the American Diabetes Association and the American College of Cardiology. Conclusions: The apo B concentration provides a more consistent goal for statin treatment than the LDLC or non-HDLC concentration.

Circulating levels of soluble receptor for advanced glycation end products (sRAGE) likely comprise both a secreted isoform (esRAGE) and wild-type RAGE cleaved from the cell membrane. Both sRAGE and esRAGE have been proposed as biomarkers of cardiovascular disease (CVD), but prospective data are limited. We examined the relationship of sRAGE and esRAGE to incident coronary heart disease (CHD) and stroke in type 2 diabetic patients followed for 3.9 years in a trial of atorvastatin: the Collaborative Atorvastatin Diabetes Study (CARDS). We used a nested case-control design sampling all incident cases of CVD with available plasma and randomly selecting three control subjects, who were free of CVD throughout follow-up, per case. Analysis was by Cox regression with adjustment for treatment allocation and relevant covariates. sRAGE and esRAGE were strongly correlated (ρ = 0.88) and were both higher in those with lower BMI (P < 0.001), higher adiponectin (P < 0.001), lower estimated glomerular filtration rate (P = 0.009), and white ethnicity (P < 0.001). Both sRAGE and esRAGE were associated with incident CHD events, independently of treatment allocation and the above factors; hazard ratio (HR) = 1.74 (95% CI 1.25-2.41; P = 0.002) for a doubling of the sRAGE level; HR = 1.45 (1.11-1.89; P = 0.006) for a doubling of the esRAGE level. There was no significant association with stroke; HR for sRAGE = 0.66 (0.38-1.14). Atorvastatin, 10 mg daily, did not alter sRAGE. Higher levels of sRAGE and esRAGE are associated with incident CHD but not stroke in type 2 diabetes.

[...]the failure of vitamin D levels to predict events as reported in our 2012 AHJ paper was not surprising and provided no reason to question the integrity of the biomarker database. Since the error was discovered, we have created a new anonymized clinical and biomarker database by restoring the original set of anonymized identifiers. Only approximately one tenth of participants in the re-analysis now had an event, compared to one third in the original study design. [...]the power to detect a difference in the level of Vitamin D or the other biomarkers between patients with and without events has been attenuated.