Association of pitavastatin use with bone markers and bone mineral density in postmenopausal women
Hyun, J.; Sohn, M.; Oh, H.; Lim, S.
Show abstract
BACKGROUNDThe study aimed to evaluate the effects of pitavastatin therapy on biochemical markers of bone turnover and bone mineral density (BMD) in postmenopausal women with osteopenia or osteoporosis and hypercholesterolemia. METHODS AND RESULTSThis prospective observational study recruited 70 postmenopausal Korean women who were administered pitavastatin. Changes in BMD at the femoral neck (FN), total hip (TH), and lumbar spines (LS), as well as laboratory values related to bone turnover markers and lipid profiles, including lipoprotein subfractions, were assessed over 12 months. BMD was further observed during regular clinic visits up to 4 years. A total of 67 patients completed 12 months of pitavastatin therapy. There were no significant changes in BMD (-0.001 {+/-} 0.026 at FN, -0.005 {+/-} 0.032 at TH, and 0.002 {+/-} 0.037 at LS; all Ps > 0.05). Bone markers did not change except for procollagen type 1 N-propeptide (P1NP), which slightly decreased (-4.0 {+/-} 10.3, P < 0.05). Low-density lipoprotein (LDL) cholesterol levels decreased by 36% to 39% from baseline, and the LDL subfraction score decreased from 2.85 {+/-} 1.79 to 1.80 {+/-} 0.63 (P < 0.001). During the extended observation period, BMD at FN and TH decreased by 0.85% and 1.69% per year, respectively, while BMD at the LS was preserved. CONCLUSIONSIn postmenopausal women with osteopenia or osteoporosis requiring lipid-lowering therapy, one year of pitavastatin maintained BMD and effectively controlled cholesterol levels. BMD changes during statin therapy were more favorable than the natural decline. These findings suggest pitavastatin can be safely used in menopausal women without compromising bone health.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Metabolomics insights into osteoporosis through association with bone mineral density 96%
- Estimating the incidence and key risk factors of cardiovascular disease in patients at high risk of imminent fracture using routinely collected real-world data from the UK 95%
- Propranolol promotes bone formation and limits resorption through novel mechanisms during anabolic parathyroid hormone treatment in female C57BL/6J mice 95%
Similar papers in this journal
- Characterisation of growth plate dynamics in murine models of osteoarthritis 91%
- Association Between Life’s Essential 8 and Atherogenic Index of Plasma in Adults: Insights from NHANES 2007-2018 91%
- Single Cell Cortical Bone Transcriptomics Defines Novel Osteolineage Gene Sets Altered in Chronic Kidney Disease 91%
Similar papers in this journal
- MicroRNA levels in bone and blood change during bisphosphonate and teriparatide therapy in an animal model of postmenopausal osteoporosis 96%
- Feasibility, Safety and Efficacy of OsteoStrong ® in Postmenopausal Women with Low Bone Mineral Density: A Pilot Study 96%
- Social Isolation Causes Cortical and Trabecular Bone Loss in Adult Male, but not Female, C57BL/6J Mice 95%
Similar papers in this journal
- Bone canonical Wnt signaling is downregulated in type 2 diabetes and associates with higher Advanced Glycation End-products (AGEs) content and reduced bone strength 96%
- Impaired bone strength and bone microstructure in a novel early-onset osteoporotic rat model with a clinically relevant PLS3 mutation 96%
- The effect of calcium supplementation in people under 35 years old: A systematic review and meta-analysis of randomized controlled trials 95%
Similar papers in this journal
- Shatavari Supplementation in Postmenopausal Women Improves Handgrip Strength and Increases Vastus Lateralis Myosin Regulatory Light Chain Phosphorylation But Does Not Alter Markers of Bone Turnover: A Randomised Controlled Trial 96%
- Methodological quality of recommendations on vitamin D and calcium – a systematic review of bone health guidelines 94%
- Effect of magnesium supplementation on circulating biomarkers of cardiovascular disease 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.