Kioumourtzoglou Marianthi-Anna, Seals Ryan M, Himmerslev Liselotte, Gredal Ole, Hansen Johnni, Weisskopf Marc G
Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachusetts , USA.
Amyotroph Lateral Scler Frontotemporal Degener. 2015 Jun;16(3-4):224-9. doi: 10.3109/21678421.2014.988161. Epub 2015 May 6.
Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered.
由于肌萎缩侧索硬化症(ALS)较为罕见,开展大规模研究存在困难。医院数据和死亡证明数据是很有价值的工具,但我们需要了解它们对病例的捕捉情况。我们利用国际疾病分类第8版(ICD - 8,1994年以前)或第10版(ICD - 10)编码,在丹麦国家患者登记处(NPR)中识别出1982年至2009年间的3650例新发病例。死亡证明来自丹麦死因登记处。我们获取了NPR中识别出的173例病例的医疗记录,并根据埃尔埃斯科里亚尔标准对这些记录进行分类。我们将从死亡证明中识别出的ALS病例与医院出院记录进行比较,并将两者与医疗记录进行比较。结果显示,使用死亡证明的敏感度为84.2%(95%置信区间82.9 - 85.5%),女性、77岁以下的受试者以及使用ICD - 8编码时,敏感度显著更高。仅使用根本死因会导致敏感度显著降低。估计的总体阳性预测值(PPV)为82.0%(95%置信区间80.0 - 83.8%)。与医疗记录相比,敏感度和PPV相似。总之,我们发现使用医院出院记录和死亡证明是高度可靠的,因此是ALS流行病学研究的宝贵工具。应考虑年龄、性别和ICD编码的细微差异对研究结果可能产生的影响。