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前瞻性队列研究中的 Lambert-Eaton 肌无力综合征中的肺癌预测。

Lung cancer prediction in Lambert-Eaton myasthenic syndrome in a prospective cohort.

机构信息

Department of Neurology, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, NG7 2UH, UK.

Department of Neurology, Groene Hart Hospital, Gouda, The Netherlands.

出版信息

Sci Rep. 2020 Jun 29;10(1):10546. doi: 10.1038/s41598-020-67571-9.

Abstract

To evaluate the Dutch-English Lambert-Eaton Myasthenic Syndrome (LEMS) Tumour Association Prediction (DELTA-P) score in a prospective cohort of patients with newly diagnosed LEMS to assess the clinical validity of this tool in a real-world setting. Clinical features from 87 patients with LEMS, occurring within three months from disease onset, were collated to produce a DELTA-P score for each patient. Lung cancer was detected in 44/87 (51%) LEMS patients. Weight loss ≥ 5%, tobacco use at LEMS onset and age at onset ≥ 50 years were independent predictors for the development of small-cell lung cancer (SCLC) in LEMS patients in multivariable analysis. Median DELTA-P scores were significantly higher in SCLC-LEMS patients (3.5, 95% CI 3 to 4) compared to non-tumour-LEMS (2, 95% CI 1 to 2) (P < 0.0001). Higher DELTA-P scores increased the risk of SCLC stepwise (score 0 = 0%, 1 = 18.8%, 2 = 45%, 3 = 55.5%, 4 = 85.7%, 5 = 87.5%, 6 = 100%). The area under the curve of the receiver operating curve was 82.5% (95% CI 73.9% to 91%). The DELTA-P cancer prediction score, calculated at the time of LEMS diagnosis, is an effective tool for cancer screening in an independent, prospective study setting.

摘要

评估荷兰语-英语 Lambert-Eaton 肌无力综合征 (LEMS) 肿瘤协会预测 (DELTA-P) 评分在新诊断的 LEMS 患者前瞻性队列中的临床有效性,以评估该工具在真实环境中的临床有效性。收集了 87 例 LEMS 患者的临床特征,这些患者在疾病发病后三个月内发病,为每位患者生成一个 DELTA-P 评分。87 例 LEMS 患者中有 44 例(51%)发现肺癌。多变量分析显示,体重减轻≥5%、LEMS 发病时吸烟和发病年龄≥50 岁是 LEMS 患者发生小细胞肺癌 (SCLC) 的独立预测因素。在 SCLC-LEMS 患者中,中位数 DELTA-P 评分明显高于非肿瘤-LEMS 患者(3.5,95%CI 3 至 4)(P<0.0001)。较高的 DELTA-P 评分逐步增加 SCLC 的风险(评分 0=0%,1=18.8%,2=45%,3=55.5%,4=85.7%,5=87.5%,6=100%)。接受者操作特征曲线下的面积为 82.5%(95%CI 73.9%至 91%)。在 LEMS 诊断时计算的 DELTA-P 癌症预测评分是一种在独立、前瞻性研究环境中进行癌症筛查的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8d/7324357/b35a304b289c/41598_2020_67571_Fig1_HTML.jpg

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