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青春期改变特发性脊柱侧凸的自然病程:1563 例连续患者未来放射学曲线严重程度的 3 个预测模型。

Puberty changes the natural history of idiopathic scoliosis: three prediction models for future radiographic curve severity from 1563 consecutive patients.

机构信息

Department of Biomedical, Surgical and Dental Sciences, University "La Statale", Milan, Italy.

IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.

出版信息

Eur Spine J. 2024 Oct;33(10):3767-3775. doi: 10.1007/s00586-024-08487-0. Epub 2024 Sep 14.

Abstract

PURPOSE

Understanding idiopathic scoliosis (IS) natural history during growth is essential for shared decision-making between patients and physicians. We developed a retrospective model with the largest available sample in the literature and we aimed to investigate if using three peri-pubertal growth periods provides better prediction than a unique model.

METHODS

Secondary analysis of a previous study on IS natural history data from radiographs before and at the first consult. Three groups: BEFORE (age 6-10), AT (age 11-Risser 2) and AFTER (from Risser 3) the pubertal growth spurt. Available predictors: Cobb angle, curve type, sex, observation time, and Risser score. We used linear mixed-effects models to predict future Cobb angles in each group. We internally validated prediction accuracy with over 100 patients per group (3 to 5-fold cross-validation).

RESULTS

We included 1563 participants (275 BEFORE, 316 AFTER, 782 females and 190 males AT). Curves increased over time mostly in AT, importantly in BEFORE, but also in AFTER. All models performed better than the general one. In BEFORE, 74.2% of the predictions were within ± 5, 71.8% in AFTER, 68.2% in AT females, and 60.4% in males. The predictors (baseline curve, observation time also squared and cubic, and Risser score) were similar in all the models, with sex influencing only AFTER.

CONCLUSION

IS curve severities increase differently during growth with puberty stages. Model accuracy increases when tailored by growth spurt periods. Our models may help patients and clinicians share decisions, identify the risk of progression and inform treatment planning.

摘要

目的

了解生长过程中特发性脊柱侧凸(IS)的自然史对于患者和医生之间的共同决策至关重要。我们开发了一个具有最大可用样本的回顾性模型,并旨在研究使用三个青春期生长阶段是否比单一模型提供更好的预测。

方法

对之前关于 IS 自然史数据的研究进行二次分析,这些数据来自放射照片,拍摄时间分别为生长前和首次就诊时。三个组:生长前(6-10 岁)、生长中(Risser 征 2 期)和生长后(Risser 征 3 期以后)。可用的预测因素:Cobb 角、曲线类型、性别、观察时间和 Risser 评分。我们使用线性混合效应模型来预测每个组中未来的 Cobb 角。我们通过每组 3 到 5 倍的交叉验证(超过 100 名患者)来验证内部预测准确性。

结果

我们纳入了 1563 名参与者(275 名生长前、316 名生长后、782 名女性和 190 名男性生长中)。曲线随时间增加,主要是在生长中,尤其是在生长前,但也在生长后。所有模型的表现均优于一般模型。在生长前,74.2%的预测值在±5 以内,生长后为 71.8%,女性生长中为 68.2%,男性为 60.4%。所有模型的预测因素(基线曲线、观察时间的平方和立方以及 Risser 评分)均相似,性别仅影响生长后。

结论

IS 曲线严重程度在生长过程中随青春期阶段的不同而不同。当根据生长突增期进行调整时,模型的准确性会提高。我们的模型可以帮助患者和临床医生共同决策,识别进展风险,并为治疗计划提供信息。

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