Department of Gynecology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
Department of Osteology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
J Clin Lab Anal. 2020 Jan;34(1):e23016. doi: 10.1002/jcla.23016. Epub 2019 Aug 19.
Postmenopausal osteoporosis (PMOP) is a bone metabolism disorder involving systematic inflammation activation. Blood routine examination is easily available in clinical practice and contains abundant information reflecting the systematic inflammation level. Thus, it is attractive to achieve early diagnosis of PMOP and predict osteoporotic fracture risk just based on the biomarkers in blood routine examination.
A multi-centric prospective cohort study was designed and enrolled postmenopausal women from two independent institutions. All participants underwent the dual-energy X-ray absorptiometry (DEXA) scanning for diagnosing PMOP. Blood routine examination was conducted, and the key inflammatory biomarkers such as neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) were calculated. PMOP patients were followed up to observe osteoporotic fracture and identify the related risk predictors.
A total of 92 participants out of 238 enrolled postmenopausal women were diagnosed with PMOP, with a prevalence of 38.66%. The main risk factors identified for PMOP included older age (OR = 2.06, 95% CI = 1.14-3.72), longer menopause duration (OR = 3.14, 95% CI = 2.06-4.79), higher NLR (OR = 2.11, 95% CI = 1.37-3.25), and higher SII (OR = 3.02, 95% CI = 1.98-4.61). Besides age and menopause duration, SII ≥834.89 was newly identified as a prominent risk factor for discriminating osteoporotic fracture risk in PMOP patients (HR = 3.66, 95% CI = 1.249-10.71).
As an easy and economical biomarker calculated from blood routine examination, SII not only acts as a good risk predictor for PMOP diagnosis but also well discriminates the osteoporotic fracture risk, which deserves further investigation and application in clinical practice.
绝经后骨质疏松症(PMOP)是一种涉及系统性炎症激活的骨代谢紊乱。血常规检查在临床实践中易于进行,并且包含反映系统炎症水平的丰富信息。因此,基于血常规检查中的生物标志物实现 PMOP 的早期诊断和预测骨质疏松性骨折风险是很有吸引力的。
设计了一项多中心前瞻性队列研究,纳入了来自两个独立机构的绝经后妇女。所有参与者均接受双能 X 射线吸收法(DEXA)扫描以诊断 PMOP。进行血常规检查,并计算关键炎症生物标志物,如中性粒细胞与淋巴细胞比值(NLR)和全身免疫炎症指数(SII)。PMOP 患者进行随访以观察骨质疏松性骨折并确定相关风险预测因素。
在纳入的 238 名绝经后妇女中,共有 92 名被诊断为 PMOP,患病率为 38.66%。PMOP 的主要危险因素包括年龄较大(OR=2.06,95%CI=1.14-3.72)、绝经时间较长(OR=3.14,95%CI=2.06-4.79)、NLR 较高(OR=2.11,95%CI=1.37-3.25)和 SII 较高(OR=3.02,95%CI=1.98-4.61)。除年龄和绝经时间外,SII≥834.89 也被新确定为 PMOP 患者区分骨质疏松性骨折风险的显著危险因素(HR=3.66,95%CI=1.249-10.71)。
作为一种从血常规检查中计算出来的简单、经济的生物标志物,SII 不仅是 PMOP 诊断的良好风险预测因子,而且很好地区分了骨质疏松性骨折风险,值得进一步研究和临床应用。