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采用多状态模型预测多发性硬化症的恶化和改善的预后因素。

Prognostic factors for worsening and improvement in multiple sclerosis using a multistate model.

机构信息

Novartis Pharma AG, Basel, Switzerland.

Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK.

出版信息

Mult Scler. 2024 Oct;30(11-12):1455-1467. doi: 10.1177/13524585241275471. Epub 2024 Sep 28.

Abstract

BACKGROUND

The long-term disease trajectory of people living with multiple sclerosis (MS) can be improved by initiating efficacious treatment early. More quantitative evidence is needed on factors that affect a patient's risk of disability worsening or possibility of improvement to inform timely treatment decisions.

METHODS

We developed a multistate model to quantify the influence of demographic, clinical, and imaging factors on disability worsening and disability improvement simultaneously across the disability spectrum as measured by the Expanded Disability Status Scale (EDSS). We used clinical trial data from the Novartis-Oxford MS database including ~130,000 EDSS assessments from ~8000 patients, spanning all MS phenotypes.

RESULTS

Higher brain volume was positively associated with disability improvement at all disability levels (hazard ratio (HR) = 1.09-1.19; 95% credible interval (CI) = 1.02-1.27). Higher T2 lesion volume was negatively associated with disability improvement up to EDSS 6 (HR = 0.80-0.89; 95% CI = 0.75-0.94). Older age, time since first symptoms, and the number of relapses in the past year were confirmed as predictors of future disability worsening.

CONCLUSIONS

Brain damage was identified as the most consistent factor limiting the patient's probability for improvements from the earliest stages and across the whole course of MS. Protecting brain integrity early in MS should have greater weight in clinical decision-making.

摘要

背景

通过早期开始有效的治疗,可以改善多发性硬化症(MS)患者的长期疾病进程。为了告知及时的治疗决策,需要更多关于影响患者残疾恶化风险或改善可能性的因素的定量证据。

方法

我们开发了一个多状态模型,以定量评估人口统计学、临床和影像学因素对残疾恶化和残疾改善的影响,同时在扩展残疾状况量表(EDSS)测量的残疾谱上进行评估。我们使用了诺华-牛津 MS 数据库中的临床试验数据,该数据库包括来自约 8000 名患者的约 130000 次 EDSS 评估,涵盖了所有 MS 表型。

结果

更高的脑容量与所有残疾水平的残疾改善呈正相关(危险比(HR)= 1.09-1.19;95%可信区间(CI)= 1.02-1.27)。更高的 T2 病变体积与 EDSS 6 以下的残疾改善呈负相关(HR = 0.80-0.89;95%CI = 0.75-0.94)。年龄较大、首次症状出现后的时间和过去一年中的复发次数被确认为未来残疾恶化的预测因素。

结论

脑损伤被确定为从最早阶段和整个 MS 病程中限制患者改善概率的最一致因素。在 MS 早期保护脑完整性应该在临床决策中有更大的权重。

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