Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy.
INSERM, University of Limoges, CHU Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France, and.
Amyotroph Lateral Scler Frontotemporal Degener. 2020 May;21(3-4):228-234. doi: 10.1080/21678421.2020.1746811. Epub 2020 Apr 10.
Mortality data have been used as a proxy for amyotrophic lateral sclerosis (ALS) incidence. However, the accuracy of death certificates (DCs) needs to be validated. This study aims to assess the accuracy of DCs in the identification of ALS cases. This is a retrospective population-based validation study. DC information, provided by the "Centre d'épidémiologie sur les causes médicales de décès", including ICD10 codes for specific cause of death for patients recorded in the French register of ALS cases in the Limousin region (FRALim) and deceased between 2000 and 2011, was assessed. The was used as gold standard. In the study period, DCs were available for 197 patients diagnosed with ALS, of whom 185 (93.9%) were correctly identified with an ICD10 code (G12.2) corresponding to ALS. The overall sensitivity was 93.9% (95% CI 89.6-96.8) and the positive predictive value (PPV) was 64.9 (59.1-70.4), with higher values in the period 2004-2011 (75.0-78.9). Stratification for sex, age, and year at death did not show difference in accuracy, except a lower PPV during the first years of observation. DCs identifying subjects with a diagnosis of ALS in the Limousin region, France showed an overall good sensitivity and moderate PPV. The absence of ALS diagnosis as the main and underlying cause of death on DCs highlights the need to use DC in combination with other administrative data to create algorithms with higher accuracy performances.
死亡数据曾被用作肌萎缩侧索硬化症(ALS)发病率的替代指标。然而,死亡证明(DC)的准确性需要验证。本研究旨在评估 DC 对 ALS 病例识别的准确性。
这是一项回顾性基于人群的验证研究。由“死因医学中心”提供的 DC 信息,包括 ICD10 代码,用于记录在法国 Limousin 地区 ALS 病例登记处(FRALim)并在 2000 年至 2011 年期间死亡的患者的特定死因,这些患者的信息被列入法国 Limousin 地区 ALS 病例登记处(FRALim)。将作为金标准。
在研究期间,有 197 名被诊断为 ALS 的患者的 DC 信息可用,其中 185 名(93.9%)的患者被正确识别,他们的 ICD10 代码(G12.2)对应于 ALS。总体灵敏度为 93.9%(95%CI 89.6-96.8),阳性预测值(PPV)为 64.9%(59.1-70.4%),2004-2011 年期间的数值更高(75.0-78.9%)。按性别、年龄和死亡年份进行分层,准确性没有差异,但在观察的头几年,PPV 较低。
法国 Limousin 地区用于识别 ALS 诊断患者的 DC 总体具有良好的灵敏度和中等的 PPV。在 DC 上没有将 ALS 诊断作为主要和根本死因的情况下,突出了需要将 DC 与其他行政数据结合使用,以创建具有更高准确性性能的算法。