Suppr超能文献

糖皮质激素性骨质疏松症治疗决策工具的开发与比较

Development and Comparison of Treatment Decision Tools for Glucocorticoid-Induced Osteoporosis.

作者信息

Chen Jia-Feng, Yu Shan-Fu, Chiu Wen-Chan, Ko Chi-Hua, Hsu Chung-Yuan, Lai Han-Ming, Chen Ying-Chou, Su Yu-Jih, Kang Hong-Yo, Cheng Tien-Tsai

机构信息

Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan.

Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan.

出版信息

Diagnostics (Basel). 2024 Feb 19;14(4):452. doi: 10.3390/diagnostics14040452.

Abstract

Long-term Glucocorticoid (GC) use results in compromised bone strength and fractures, and several treatment recommendations have been developed to prevent fractures, but none have been validated in a real-world setting. This study aims to create a treatment decision tool and compares this tool to the treatment suggestions from the American College of Rheumatology (ACR), International Osteoporosis Foundation and European Calcified Tissue Society (IOF-ECTS), and GC-adjusted Fracture Risk Assessment Tool (GC-FRAX), above the intervention threshold. We utilized registry data gathered at Chang Gung Memorial Hospital at Kaohsiung, Taiwan, between September 2014 and April 2021. This research is a single-center, observational, and case-controlled study. We recruited participants using prednisone for at least 2.5 mg/day or the equivalent dose for over 3 months, excluding those younger than 40, those with malignancies, or those currently undergoing anti-osteoporosis therapy. The primary endpoint was new fragility fractures within 3 years, including morphometric vertebral fractures detected at baseline and with a follow-up thoracic-lumbar spine X-ray. Participants were randomly allocated into derivation and validation sets. We developed the Steroid-Associated Fracture Evaluation (SAFE) tool in the derivation cohort by assessing the weights of exploratory variables via logistic regression. Prediction performance was compared in the validation set by the receiver operating characteristic (ROC) curve, the area under the curve (AUC), and sensitivity and specificity. A total of 424 treatment-naïve subjects were enrolled, and 83 (19.6%) experienced new fractures within 3 years. The final formula of the SAFE tool includes osteoporosis (1 point), an accumulated GC dose ≥ 750 mg within 6 months (or equivalent prednisolone of ≥4.5 mg/day for 6 months) (1 point), a BMI ≥ 23.5 (1 point), previous fractures (1 point), and elderliness of ≥70 years (2 points). In the validation set, a treatment decision based on the SAFE ≥ 2 points demonstrated an AUC of 0.65, with a sensitivity/specificity/accuracy of 75.9/54.0/58.9, with an ACR of 0.56 (100.0/11.0/31.0), IOF-ECTS 0.61 (75.9/46.0/52.7), and GC-FRAX 0.62 (82.8/42.0/51.2). Among current GIOP recommendations, the SAFE score serves as an appropriate treatment decision tool with increased accuracy and specificity.

摘要

长期使用糖皮质激素(GC)会导致骨强度受损和骨折,目前已制定了多项预防骨折的治疗建议,但尚无一项在实际临床环境中得到验证。本研究旨在创建一种治疗决策工具,并将该工具与美国风湿病学会(ACR)、国际骨质疏松基金会和欧洲钙化组织协会(IOF - ECTS)以及GC调整后的骨折风险评估工具(GC - FRAX)在干预阈值以上的治疗建议进行比较。我们利用了2014年9月至2021年4月在台湾高雄长庚纪念医院收集的登记数据。本研究为单中心、观察性病例对照研究。我们招募了使用泼尼松至少2.5毫克/天或等效剂量超过3个月的参与者,排除年龄小于40岁、患有恶性肿瘤或正在接受抗骨质疏松治疗的患者。主要终点是3年内新发脆性骨折,包括基线时检测到的形态计量学椎体骨折以及随访时的胸腰椎X线检查。参与者被随机分配到推导集和验证集。我们通过逻辑回归评估探索性变量的权重,在推导队列中开发了类固醇相关骨折评估(SAFE)工具。在验证集中,通过受试者工作特征(ROC)曲线、曲线下面积(AUC)以及敏感性和特异性来比较预测性能。共纳入424名未接受过治疗的受试者,其中83名(19.6%)在3年内发生了新发骨折。SAFE工具的最终公式包括骨质疏松(1分)、6个月内累积GC剂量≥750毫克(或等效泼尼松龙≥4.5毫克/天达6个月)(1分)、体重指数(BMI)≥23.5(1分)、既往骨折(1分)以及年龄≥70岁(2分)。在验证集中,基于SAFE≥2分的治疗决策显示AUC为0.65,敏感性/特异性/准确性分别为75.9/54.0/58.9,ACR为0.56(100.0/11.0/31.0),IOF - ECTS为0.61(75.9/46.0/52.7),GC - FRAX为0.62(82.8/42.0/51.2)。在当前糖皮质激素诱导的骨质疏松症(GIOP)建议中,SAFE评分是一种具有更高准确性和特异性的合适治疗决策工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2527/10887529/a720782d77fe/diagnostics-14-00452-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验