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An integrated modelling methodology for estimating the prevalence of centronuclear myopathy

机译:估计Centronuclear肌病患病率的综合建模方法

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Centronuclear myopathies (CNM) are a group of rare inherited muscular disorders leading to a significantly reduced quality of life and lifespan. To date, CNM epidemiologic reports provide limited incidence and prevalence data. Here, an integrated model utilizing available literature is proposed to obtain a better estimate of overall CNM patient numbers by age, causative gene, severity and geographic region. This model combines published epidemiology data and extrapolates limited data over CNM subtypes, resulting in patient numbers related to age and disease subtype. Further, the model calculates a CNM incidence twofold the current estimates. The estimated incidence of 17 per million births for severe X-linked myotubular myopathy (XLMTM), the main subtype of CNM, corresponds to an estimated prevalence of 2715 in the US, 1204 in the EU, 688 in Japan and 72 in Australia. In conclusion, the model provides an estimate of the CNM incidence, prevalence and survival, and indicates that the current estimates do not fully capture the true incidence and prevalence. With rapid advances in genetic therapies, robust epidemiologic data are needed to further quantify the reliability of incidence, prevalence and survival rates for the different CNM subtypes.
机译:Centronuclear肌病(CNM)是一群罕见的遗传性肌肉障碍,导致生活质量和寿命的显着降低。迄今为止,CNM流行病学报告提供有限的发病率和流行数据。这里,提出了利用可用文献的综合模型,以通过年龄,致病基因,严重程度和地理区域来获得整体CNM患者数的更好估计。该模型将公开的流行病学数据结合在一起,通过CNM亚型推断有限的数据,导致与年龄和疾病亚型相关的患者数量。此外,该模型计算CNM入射率双重电流估计。严重X型肌瘤肌病(XLMTM)是CNM的主要亚型(XLMTM)的估计发病率为17%的分娩,对应于美国,日本688名,688次,在澳大利亚的72人中估计了2715年的估计流行。总之,该模型提供了CNM发病率,患病率和生存的估计,表明目前的估计不会完全捕获真正的发病率和患病率。随着遗传疗法的快速进步,需要强大的流行病学数据来进一步量化不同CNM亚型的发病率,患病率和存活率的可靠性。

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