帕金森病患者胸腰筋膜损伤的危险因素及脑图模型的建立

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY
Yitong Xiong, Chengfang Chen, Luyao Shi, Yiyao Yang, Chenjun Zhai, Tao Jiang, Zhanyun Ren, Lei Shen
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引用次数: 0

摘要

背景:胸腰筋膜损伤(TLFI)在帕金森病(PD)患者中很常见;然而,相关的危险因素仍存在争议,很少有研究关注TLFI的临床预测模型。本研究旨在探讨PD患者发生TLFI的危险因素,并构建临床nomogram预测模型。方法:回顾性分析2019年10月至2022年9月351例PD患者的临床资料。MRI图像用于评估TLFI的存在与否。采用二元logistic回归分析确定PD患者TLFI的独立危险因素。以独立预测因子作为预测因子构建nomogram模型,并通过受试者工作特征(ROC)曲线和校正曲线(cc)评价模型的预测效果。采用决策曲线分析(Decision curve analysis, DCA)评价模型的临床应用价值。结果:较高的UPDRS-III评分、缺乏规律运动、矢状面失衡、肌肉减少症和低水平白蛋白是PD患者TLFI的独立危险因素。ROC曲线下面积为0.974,CC与理想曲线拟合良好;DCA。结果表明,该模型在所有阈值内均具有较高的净效益,具有较高的临床应用价值。结论:TLFI与PD患者较高的UPDRS-III评分、缺乏日常运动、矢状面失衡、肌肉减少症和较低的白蛋白水平密切相关。有这些因素的患者应更加重视TLFI的预防和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Risk factors of thoracolumbar fascia injury for patients with Parkinson's disease and construction of a nomogram model.

Risk factors of thoracolumbar fascia injury for patients with Parkinson's disease and construction of a nomogram model.

Risk factors of thoracolumbar fascia injury for patients with Parkinson's disease and construction of a nomogram model.

Risk factors of thoracolumbar fascia injury for patients with Parkinson's disease and construction of a nomogram model.

Background: Thoracolumbar fascia injury (TLFI) is common in Parkinson's disease (PD) patients; however, the related risk factors are still controversial, and few studies have focused on clinical prediction models for TLFI. The aim of this study was to investigate the risk factors for TLFI in patients with PD and construct a clinical nomogram prediction model.

Methods: The clinical data of 351 patients with PD from October 2019 to September 2022 were retrospectively analyzed. MRI images were used to evaluate the presence or absence of TLFI. Binary logistic regression analysis was used to determine the independent risk factors for TLFI in patients with PD. The independent predictors were used as predictors to construct a nomogram model, and the predictive efficacy of the model was evaluated by receiver operating characteristic (ROC) curves and calibration curves (CCs). Decision curve analysis (DCA) was used to evaluate the clinical application value of the model.

Results: A higher UPDRS-III score, a lack of regular exercise, sagittal imbalance, sarcopenia and a low level of albumin were independent risk factors for TLFI in patients with PD. The area under the ROC curve was 0.974, and the CC and the ideal curve fit were good; the DCA. results showed that the model had high net benefits within all thresholds and had high clinical application value.

Conclusion: TLFI is closely related to higher a UPDRS-III score, a lack of daily exercise, sagittal imbalance, sarcopenia, and lower albumin levels in patients with PD. Patients with these factors should pay more attention to TLFI prevention and treatment.

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来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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