Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitors and the Risk of Fracture: A Systematic Review and Meta-analysis of Randomized Controlled Trials.
Fang LvXiaoling CaiChu LinWenjia YangSuiyuan HuXiantong ZouPublished in: Calcified tissue international (2023)
Osteoporosis and hyperlipidemia are closely correlated and statins might be associated with a decreased risk of fracture. We aimed to investigate the association between proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) therapy and the risk of fracture. The PubMed, Cochrane library, and EMBASE databases were systematically searched from the inception dates to October 22, 2022. Randomized clinical trials (RCTs) that addressed to fracture events of participants using alirocumab, evolocumab, bococizumab or inclisiran, with a follow-up of ≥ 24 weeks were included. Meta-analyses were conducted to calculate the odds ratio (OR) with 95% confidence intervals (CIs) for major osteoporotic fracture, hip fracture, osteoporotic non-vertebral fracture, and total fracture. 30 trials assessing PCSK9i among 95, 911 adults were included. There were no significant associations between PCSK9i therapy and the risk of major osteoporotic fracture [OR 1.08 (95% Cl 0.87-1.34), p = 0.49], hip fracture [OR 1.05 (95% Cl 0.73-1.53), p = 0.79], osteoporotic non-vertebral fracture [OR 1.03 (95% Cl 0.80-1.32), p = 0.83], and total fracture [OR 1.03 (95% Cl 0.88-1.19), p = 0.74] over a period of 6-64 months. No significant associations were detected in any of the sensitivity analyses and subgroup analyses stratified by the type of PCSK9i, follow-up duration, age, sex, sample size, and patient profile. Pooled results of our meta-analysis showed that exposure to PCSK9i was not associated with reduced risks of fracture in the short term.
Keyphrases
- hip fracture
- systematic review
- bone mineral density
- low density lipoprotein
- study protocol
- postmenopausal women
- cardiovascular disease
- stem cells
- clinical trial
- bone marrow
- metabolic syndrome
- case report
- skeletal muscle
- high fat diet
- machine learning
- open label
- body composition
- risk assessment
- deep learning
- gestational age