肌萎缩侧索硬化
医学
内科学
多元分析
比例危险模型
单变量分析
队列
遗传分析
倾向得分匹配
生存分析
外显子组测序
肿瘤科
疾病
突变
基因
遗传学
生物
作者
Zhengyi Cai,Qing Liu,Mingsheng Liu,Xunzhe Yang,Dongchao Shen,Xiaohan Sun,Di He,Kang Zhang,Liang Shang,Xue Zhang,Liying Cui
标识
DOI:10.1080/01616412.2022.2029292
摘要
To investigate the clinical and genetic factors influencing the survival of amyotrophic lateral sclerosis (ALS) patients in China.Patients were enrolled in the study between December 2013 and December 2018. Clinical variables were recorded upon patient diagnosis. Causative genes related to ALS were screened by whole-exome sequencing and validated by Sanger sequencing. Each patient was followed up every 3-6 months until the endpoint (death or tracheotomy) or the last connection time on 31 December 2020. Propensity score matching analysis was performed to match the genetic and non-genetic ALS patients. The Kaplan-Meier method and multivariable Cox regression were performed for survival analysis.A total of 337 patients, including 32 with genetic ALS and 305 with non-genetic ALS, were enrolled in the study. Before matching, in univariate analysis, age of onset (P < 0.001), site of onset (P = 0.036), diagnostic delay (P < 0.001), ALSFRS-R score at diagnosis (P < 0.001), ΔALSFRS-R (P < 0.001), and causative mutations (P = 0.020) were significant prognostic factors. These factors remained statistically significant after multivariate analysis. After matching, in the multivariate analysis, age of onset (P = 0.003), site of onset (P = 0.014), diagnostic delay (P = 0.007), ALSFRS-R score at diagnosis (P = 0.010), ΔALSFRS-R (P = 0.007), and causative mutations (P = 0.003) were found to be significant prognostic factors.Both clinical factors and genetic factors influenced survival in our ALS cohort. Clarifying of the underlying mechanisms is crucial for the development of future therapies.
科研通智能强力驱动
Strongly Powered by AbleSci AI