Lunetta Christian, Lizio Andrea, Melazzini Mario Giovanni, Maestri Eleonora, Sansone Valeria A
a NEuroMuscular Omnicentre (NEMO), Fondazione Serena Onlus, Niguarda Ca' Granda Hospital , Milan.
b Department of Biomedical Sciences for Health , University of Milan , Milan , Italy.
Amyotroph Lateral Scler Frontotemporal Degener. 2015;17(1-2):93-100. doi: 10.3109/21678421.2015.1083585. Epub 2015 Oct 16.
Our objectives were: (1) to identify independent prognostic factors to determine a survival score for amyotrophic lateral sclerosis (ALS) in a cohort of patients followed in the NEMO Centre (NEuroMuscular Omnicentre); (2) to replicate results in an independent cohort obtained from the Pooled Resource Open Access ALS Clinical Trial Consortium (PRO-ACT) database. Samples were collected from 428 ALS patients from the NEMO database and 2481 patients from the PRO-ACT database. Study design was a retrospective analysis with clinical and biochemical variables, using univariable and multivariable Cox models of analysis. Results showed that, in multivariable analysis, age at diagnosis, diagnostic delay, ALSFRS-R total score, Body Mass Index, aspartate aminotransferase and creatinine level were independently related to survival. These factors were recoded as categorical variables assigning a score from 5 to 15, and the sums of these scores were used to obtain the ALS-Survival Score (ALS-SS). This then allowed to identify three groups having different survival curves. The ALS-SS results were also replicated using data from the PRO-ACT database. In conclusion, considering independent prognostic factors, we were able to give an estimate of survival in our cohort of ALS patients. Whether this ALS-SS may be useful in clinical practice, and potentially in clinical trials, will have to be determined prospectively.
(1)在NEMO中心(神经肌肉综合中心)随访的一组患者中,确定肌萎缩侧索硬化症(ALS)的独立预后因素,以确定生存评分;(2)在从汇总资源开放获取ALS临床试验联盟(PRO-ACT)数据库获得的独立队列中复制结果。从NEMO数据库的428例ALS患者和PRO-ACT数据库的2481例患者中收集样本。研究设计为对临床和生化变量进行回顾性分析,采用单变量和多变量Cox分析模型。结果显示,在多变量分析中,诊断时年龄、诊断延迟、ALS功能评定量表修订版(ALSFRS-R)总分、体重指数、天冬氨酸转氨酶和肌酐水平与生存独立相关。这些因素被重新编码为分类变量,赋予5至15分的评分,这些评分的总和用于获得ALS生存评分(ALS-SS)。这进而能够识别出具有不同生存曲线的三组患者。使用PRO-ACT数据库的数据也复制了ALS-SS结果。总之,考虑到独立预后因素,我们能够对我们队列中的ALS患者的生存情况进行估计。这种ALS-SS是否在临床实践中有用,以及可能在临床试验中有用,将必须通过前瞻性研究来确定。