Statin treatment and serum low-density lipoprotein (LDL) level in the Birjand elderly dwellers: Birjand Longitudinal Aging Study (BLAS) Wave3

Author(s):  
Marjan Farzad ◽  
Shima Jafari ◽  
Fatemeh Baghernezhad Hesary ◽  
Fatemeh Hosseinzadeh Chahkandak ◽  
Toba Kazemi ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Munkhaugen ◽  
E Sverre ◽  
O Kristiansen ◽  
M.W Fagerland ◽  
K Peersen ◽  
...  

Abstract Background There is considerable individual variation in the low-density lipoprotein cholesterol (LDL-C) reduction at all classes and doses of statins. Knowledge of the determinants of individual variation LDL-C response upon statin treatment may pave the way for personalized and optimized statin treatment. Purpose We aimed to determine clinical and drug related predictors of variability of LDL-C response to atorvastatin 40 mg in patients with coronary heart disease. Methods This is an explorative study among 70 patients enrolled in the MUscle Side-Effects of atorvastatin in coronary patients (MUSE) randomized double blinded cross-over trial. Absolute and relative changes in LDL-C after 7 weeks treatment with atorvastatin 40 mg/day and 7 weeks treatment with placebo, were calculated for each patient. Linear regression analyses were applied to investigate the association between clinical (10 variables) and drug related (atorvastatin and/or metabolites, 18 variables) predictors and changes in LDL-C. Results Adherence to allocated treatment was high as confirmed by atorvastatin levels in blood and a mean proportion of days covered of 99% (range 91–100%). Mean reduction in LDL-C on atorvastatin treatment (LDL-C atorvastatin – LDL-C placebo) was 2.1 (SD 0.7, range 0.3 to 3.4) mmol/L. Mean percentage reduction in LDL-C was 51.1 (SD 11.2, range 29 to 60)%, and 37 patients (52.9%) had <50% LDL-C reduction. Genetic polymorphisms in SLCO1B1 or CYP3A (B 0.06, 95% CI 0.01 to 0.12, p=0.026), increasing number of coronary events (B 0.06, 95% CI 0.002 to 0.10, p=0.005), increasing trough concentration of 4-OH atorvastatin lactone (B 0.05, 95% CI 0.01 to 0.08, p=0.005) and increasing trough concentration of 4-OH atorvastatin acid (B 0.05, 95% CI 0.01 to 0.08, p=0.006) were the significant determinants of lower relative change (%) in LDL-C, in adjusted analyses. Age, gender, somatic comorbidity, cardiovascular risk factors, statin dependent muscle side-effects and other clinical and drug related determinants were not associated with changes in LDL-C. Conclusions There is considerable inter-individual variation in the LDL-C response upon treatment with atorvastatin despite confirmed high statin adherence. This is the first study reporting that genetic polymorphisms involved in the metabolism of statins and atorvastatin metabolites predict lower LDL-C response. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): National Association of Health, Grant/Award


2022 ◽  
Vol 21 (1) ◽  
Author(s):  
Gen Ouchi ◽  
Ichiro Komiya ◽  
Shinichiro Taira ◽  
Tamio Wakugami ◽  
Yusuke Ohya

Abstract Background Small, dense low-density lipoprotein (sd-LDL) increases in type 2 diabetes patients and causes arteriosclerosis. Non–high-density-lipoprotein cholesterol (non–HDL-C) is thought to be useful for predicting arteriosclerosis and sd-LDL elevation; however, there are no data about whether the triglyceride /low-density-lipoprotein cholesterol (TG/LDL-C) ratio is a valuable predictor for sd-LDL. Methods A total of 110 type 2 diabetes patients with hypertriglyceridemia were analyzed. No patients were treated with fibrates, but 47 patients were treated with statins. LDL-C was measured by the direct method. LDL-migration index (LDL-MI) using electrophoresis (polyacrylamide gel, PAG) was calculated, and a value ≥0.400 was determined to indicate an increase in sd-LDL. Simple regression analyses were carried out between LDL-MI and lipid markers. Receiver operating characteristic curves of lipid markers for predicting high LDL-MI were applied to determine the area under the curve (AUC), sensitivity, specificity, and cut-off point. Results LDL-MI correlated negatively with LDL-C (P = 0.0027) and PAG LDL fraction (P < 0.0001) and correlated positively with TGs, non–HDL-C, TG/LDL-C ratio, TG/HDL-C ratio, and non–HDL-C/HDL-C ratio among all study patients. Similar results were obtained for patients analyzed according to statin treatment. The AUCs (95% confidence interval) were 0.945 (0.884-1.000) for TG/LDL-C ratio and 0.614 (0.463-0.765) for non–HDL-C in patients without statins (P = 0.0002). The AUCs were 0.697 (0.507-0.887) for TG/LDL-C and 0.682 (0.500-0.863) for non–HDL-C in patients treated with statins. The optimal cut-off point for TG/LDL-C ratio for increased LDL-MI was 1.1 (molar ratio) regardless of statin treatment. The sensitivity and specificity of the TG/LDL-C ratio (90.0 and 93.9%, respectively) were higher than those of non–HDL-C (56.7 and 78.8%, respectively) in patients without statins. Conclusions The TG/LDL-C ratio is a reliable surrogate lipid marker of sd-LDL and superior to non–HDL-C in type 2 diabetes patients not treated with statins.


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