Predictors of survival in patients with amyotrophic lateral sclerosis: A large meta-analysis.

Predictors of survival in patients with amyotrophic lateral sclerosis: A large meta-analysis.
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DOI:
10.1016/j.ebiom.2021.103732
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发表时间:
2021-12
期刊:
影响因子:
11.1
通讯作者:
Chen YP
Chen YP
中科院分区:
医学1区
文献类型:
--
作者:
Su WM;Cheng YF;Jiang Z;Duan QQ;Yang TM;Shang HF;Chen YP

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肌萎缩侧索硬化症(ALS)的生存时间差异很大,潜在的生存预测因子的保护作用或风险作用也存在争议。因此,我们的目标是对研究ALS患者的非遗传预后和生存因素的研究进行全面的荟萃分析。检索PubMed、Embase、Cochrane图书馆1966年1月1日至020年12月1日的相关文献。采用随机效应模型汇总STATA MP 16.0的多变量或调整后的危险比(HR)。PROSPERO注册号:CRD42021256923。总共确定了5717份报告,115项研究符合预先设计的纳入标准,涉及55169名ALS患者。研究对象包括人口学、环境或生活方式、临床表现、生化指标、治疗因素或合并症5个维度。25个预测因素,包括20个非干预因素和5个干预因素,与ALS生存相关。其中,NFL(HR:3.70,6.80)、FTD(HR:2.98)、ALSFRS-R改变(HR:2.37)、呼吸亚型(HR:2.20)、执行功能障碍(HR:2.10)和发病年龄(HR:1.03)是预后不良的较好预测因素,而pLMN或pUMN(HR:0.32)、基线ALSFRS-R评分(HR:0.95)、持续时间(HR:0.96)、诊断延迟(HR:0.97)是预后较好的预测因素。我们的结果不支持性别、教育水平、糖尿病、高血压、NIV、胃造口术和他汀类药物与ALS生存的关系。我们的研究为评估ALS患者的预后提供了一个全面的量化指标,所识别的不可干预或可干预因素将有助于ALS治疗策略的制定。本研究得到了中国国家自然科学基金(批准号:81971188)、四川大学中国医院精品学科1.3.5项目(批准号:2019HXFH046)和四川省科技局基金(批准号:2019YFS0216)的资助。
The survival time of amyotrophic lateral sclerosis (ALS) is greatly variable and protective or risk effects of the potential survival predictors are controversial. Thus, we aim to undertake a comprehensive meta-analysis of studies investigating non-genetic prognostic and survival factors in patients with ALS. A search of relevant literature from PubMed, Embase, Cochrane library and other citations from 1st January 1966 to 1st December 020 was conducted. Random-effects models were conducted to pool the multivariable or adjusted hazard ratios (HR) by Stata MP 16.0. PROSPERO registration number: CRD42021256923. A total of 5717 reports were identified, with 115 studies meeting pre-designed inclusion criteria involving 55,169 ALS patients. Five dimensions, including demographic, environmental or lifestyle, clinical manifestations, biochemical index, therapeutic factors or comorbidities were investigated. Twenty-five prediction factors, including twenty non-intervenable and five intervenable factors, were associated with ALS survival. Among them, NFL (HR:3.70, 6.80, in serum and CSF, respectively), FTD (HR:2.98), ALSFRS-R change (HR:2.37), respiratory subtype (HR:2.20), executive dysfunction (HR:2.10) and age of onset (HR:1.03) were superior predictors for poor prognosis, but pLMN or pUMN (HR:0.32), baseline ALSFRS-R score (HR:0.95), duration (HR:0.96), diagnostic delay (HR:0.97) were superior predictors for a good prognosis. Our results did not support the involvement of gender, education level, diabetes, hypertension, NIV, gastrostomy, and statins in ALS survival. Our study provided a comprehensive and quantitative index for assessing the prognosis for ALS patients, and the identified non-intervenable or intervenable factors will facilitate the development of treatment strategies for ALS. This study was supported by the National Natural Science Fund of China (Grant No. 81971188), the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (Grant No. 2019HXFH046), and the Science and Technology Bureau Fund of Sichuan Province (No. 2019YFS0216).
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