[Heterogeneous population characteristics of short-term changes in severe osteoporosis].

Q4 Medicine
Mengjie Wu, Xinghua Xiang, Wei Yang, Jiaxu Han, Yaxin Tian, Dezhi Tang, Xuetong Bai
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引用次数: 0

Abstract

Objective: To explore heterogeneous population characteristics of short-term symptom scores and bone mineral (BMD) density changes in patients with severe osteoporosis (OP), in order to provide a basis for early identification of patient differences and design of subsequent research based on real-world clinical data.

Methods: Observational data of 257 patients with severe OP who met inclusion criteria from March 2020 to October 2021 were included. At the 3-month follow-up point, the symptom score changes and BMD changes were used to define "significant change" and "non-significant change" classification labels respectively. XGBoost(eXtreme Gradient Boosting) algorithm was employed to construct a change classification model. Combined with SHAP(Shapley Additive exPlanations) interpretation algorithm and rule extraction technology, feature analysis was conducted on the two types of short-term change heterogeneous populations.

Results: Based on the change classification model, a total of 17 decision rules were extracted. The rules for changes in short-term symptom scores and BMD were mainly composed of compound conditions, clearly presented the characteristics of "significant change" group under the interaction of multiple baseline factors. ① Rules for symptom score changes. The composite interaction characteristics of the combined features of blood pressure parameters (systolic blood pressure≤124.5 to 149.5 mmHg, diastolic blood pressure>78 mmHg) with the symptom items such as "weakness in waist and knees" ≤ 3.5 points, "difficulty in bearing weight"≤3.5 points, "leg cramps">2.5 points, and "back pain">3.5 points were highlighted. These characteristics were also influenced by factors such as age, body mass index (BMI), and baseline BMD. ② Rules for BMD changes. The core of this rule was the interaction window between age (55.5 to 63.5 years old) and specific intervals of baseline BMD T/Z values (T value≤-2.85 or -3.15126.5 mmHg and diastolic blood pressure was≤69.5 mmHg. Both types of rules involved the interaction of multiple factors such as age, disease duration, and baseline BMD levels.

Conclusion: The short-term variability in severe OP patients has identifiable composite characteristics. The changes in symptom scores serve as an effective indicator reflecting the overall recovery status of body and functions of muscles and bones in the early stage. Although the changes in BMD are relatively less, when combined with age, bone mass baseline, and blood pressure patterns, they could provide early clues for individualized monitoring and intervention adjustments. These characteristics make up for the early differences which are easily overlooked in long-term evaluations, providing a highly differentiated and refined reference for clinical decision-making.

[严重骨质疏松症短期变化的异质人群特征]。
目的:探讨重度骨质疏松症(OP)患者短期症状评分及骨密度变化的异质人群特征,为早期识别患者差异及基于真实临床数据的后续研究设计提供依据。方法:纳入2020年3月至2021年10月257例符合纳入标准的重度OP患者的观察资料。随访3个月时,以症状评分变化和骨密度变化分别定义“显著变化”和“无显著变化”分类标签。采用XGBoost(eXtreme Gradient Boosting)算法构建变化分类模型。结合Shapley Additive exPlanations (Shapley Additive exPlanations)解释算法和规则提取技术,对两类短期变化异质种群进行特征分析。结果:基于变化分类模型,共提取了17条决策规则。短期症状评分和BMD的变化规律主要由复合条件组成,清晰地呈现出多基线因素交互作用下“显著变化”组的特征。①症状评分变化规律。突出血压参数组合特征(收缩压≤124.5 ~ 149.5 mmHg,舒张压>78 mmHg)与“腰膝无力”≤3.5分、“负重困难”≤3.5分、“腿抽筋”>2.5分、“背痛”>3.5分等症状项的复合交互特征。这些特征还受到年龄、身体质量指数(BMI)和基线骨密度等因素的影响。②骨密度变化规则。该规则的核心是年龄(55.5 - 63.5岁)与基线BMD T/Z值(T值≤-2.85或-3.15126.5 mmHg,舒张压≤69.5 mmHg)的特定区间之间的相互作用窗口。这两种类型的规则都涉及多种因素的相互作用,如年龄、疾病持续时间和基线BMD水平。结论:重症OP患者的短期变异性具有可识别的复合特征。症状评分的变化是反映早期机体整体恢复状况和肌肉骨骼功能的有效指标。虽然骨密度的变化相对较小,但当结合年龄、骨量基线和血压模式时,它们可以为个性化监测和干预调整提供早期线索。这些特征弥补了在长期评估中容易被忽视的早期差异,为临床决策提供了高度差异化和精细化的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.50
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189
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