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1 型肌强直性营养不良患者呼吸功能的基因型及其他决定因素。

Genotype and other determinants of respiratory function in myotonic dystrophy type 1.

机构信息

CIC 1429, INSERM, AP-HP, Hôpital Raymond Poincaré, Garches, France; Association Française contre les Myopathies - Téléthon, Evry, France; Université de Versailles Saint Quentin en Yvelines, INSERM U1179, France.

Service de cardiologie, Hôpital Cochin, APHP, Université Paris Descartes-Sorbonne Paris Cité, Paris, France.

出版信息

Neuromuscul Disord. 2018 Mar;28(3):222-228. doi: 10.1016/j.nmd.2017.12.011. Epub 2017 Dec 26.

Abstract

New treatments are being developed for myotonic dystrophy type 1 (DM1). To evaluate their efficacy, knowledge about the natural history of respiratory dysfunction and its relationship with the genotype will be crucial. Also needed is information on factors predicting the time-course of respiratory function in DM1. Using data from 283 patients, we built a segmented linear mixed-effects regression model to assess respiratory function changes over time. Respiratory variables associated with the CTG repeat number were identified by multivariate linear regression analysis. Cox proportional-hazards regression was used to estimate hazard ratios (HRs) for starting non-invasive ventilation (NIV). Higher CTG repeat number was associated with peak cough flow impairment (p = 0.007) and with lower values for maximal inspiratory pressure (p <0.0001) and upright vital capacity. A vital capacity decline over time was associated with older age at first evaluation (p <0.0001), higher CTG repeat number (p <0.0001), and higher baseline body mass index (p = 0.0004). NIV initiation was associated with lower peak cough flow (p <0.001) after age and PaCO adjustment. Earlier and closer monitoring with routine peak cough flow determination in adults with congenital DM1, combined with weight control, may diminish the risk of respiratory complications and optimise other aspects of management.

摘要

正在为 1 型肌强直性营养不良(DM1)开发新的治疗方法。为了评估其疗效,了解呼吸功能障碍的自然史及其与基因型的关系将至关重要。还需要了解预测 DM1 患者呼吸功能时间进程的因素的信息。使用来自 283 名患者的数据,我们构建了分段线性混合效应回归模型来评估随时间变化的呼吸功能变化。通过多变量线性回归分析确定与 CTG 重复数相关的呼吸变量。使用 Cox 比例风险回归来估计开始无创通气(NIV)的风险比(HR)。较高的 CTG 重复数与峰值咳嗽流量受损相关(p = 0.007),与最大吸气压力较低相关(p <0.0001)和直立肺活量较低相关。随时间的肺活量下降与首次评估时年龄较大(p <0.0001)、CTG 重复数较高(p <0.0001)和基线体重指数较高(p = 0.0004)相关。在调整年龄和 PaCO 后,NIV 开始与较低的峰值咳嗽流量(p <0.001)相关。在先天性 DM1 成人中,通过常规峰值咳嗽流量测定进行更早和更密切的监测,结合体重控制,可能会降低呼吸并发症的风险,并优化其他管理方面。

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