儿童中囊性纤维化相关的骨病:它可以预测吗?
Halime Nayir Buyuksahin1, Deniz Dogru1, Onur Gözmen2
1Division of Pulmonology, Department of Pediatrics, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Clinical nutrition (Edinburgh, Scotland)
|July 24, 2023
概括
患有囊性纤维化 (CF) 的儿童的骨密度无法通过常见的骨周转生物标志物进行预测. 无脂肪质量指数 (FFMI) 和手握强度 (HGS) 是这些患者骨矿物质密度 (BMD) 的最佳指标.
科学领域:
- 儿科内分泌学 儿科内分泌学
- 骨的新陈代谢 骨的新陈代谢
- 囊性纤维化研究 囊性纤维化研究
背景情况:
- 囊性纤维化 (CF) 相关的骨病 (CFBD) 是一个显著的并发症.
- 儿童CF的低骨矿物质密度 (BMD) 预测了未来的骨病.
- 在患有CF的儿童中,研究骨循环生物标志物和BMD的预测因素至关重要.
研究的目的:
- 为了研究与CF (cwCF) 儿童的BMD相关的骨循环生物标志物 (骨素,RANKL,OPG).
- 评估影响骨周转的因素,包括无脂肪质量 (FFM),肺功能 (FEV1) 和手握力 (HGS).
主要方法:
- 将16名患有CF和中度低BMD的儿童 (组1) 与64名患有CF和正常BMD的儿童 (组2) 进行比较.
- 测量了骨质卡尔 (OC),核因子卡帕B连接体 (RANKL) 的受体激活剂和骨质保护素 (OPG) 的血清水平.
- 评估的身体质量指数 (BMI),无脂肪质量指数 (FFMI),1秒内强制呼气体积 (FEV1) 和手握力 (HGS).
主要成果:
- 血清RANKL,OC,OPG或RANKL/OPG比率在两组之间没有显著差异.
- 在群体之间观察到BMI z-score,FFMI z-score,FEV1 z-score和HGS %pred的显著差异.
- 多变量回归确定了FFMI z-score和HGS %pred作为BMD的唯一预测因素.
结论:
- 血清OC,OPG,RANKL和RANKL/OPG比率不能预测患有CF的儿童的BMD.
- 在这个人群中,FFMI z-score 和 HGS %pred 是最有效的,非侵入性的 BMD 预测指标.
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