Elkin Peter L, Brown Steven H
Department of Biomedical Informatics, University of Buffalo, Buffalo, NY, USA.
Stud Health Technol Inform. 2013;192:964.
Influenza and Influenza like illness are representative of a class of epidemic infectious diseases that have important public health implications. Early detection via Biosurveillance can speed life saving public heath responses. In the United States Biosurveillance is typically conducted using ICD9 coded visit diagnoses and uncoded chief complaint data. To determine the accuracy of ICD9 diagnoses using laboratory confirmed cases as the gold standard. We determined the sensitivity and specificity of ICD9 in detecting laboratory confirmed vs unconfirmed Influenza. ICD9-CM had a low 66.2% Positive Predictive Value (precision) for Influenza and a low 45.6% Sensitivity (recall) for Influenza. ICD9-CM proved insufficient alone for use in biosurveillance.
流感及流感样疾病是一类具有重要公共卫生意义的流行性传染病的代表。通过生物监测进行早期检测可以加快挽救生命的公共卫生应对措施。在美国，生物监测通常使用国际疾病分类第九版（ICD9）编码的就诊诊断和未编码的主要症状数据。为了以实验室确诊病例作为金标准来确定ICD9诊断的准确性，我们确定了ICD9在检测实验室确诊与未确诊流感方面的敏感性和特异性。ICD9临床修正版（ICD9-CM）对流感的阳性预测值（精确度）较低，为66.2%，对流感的敏感性（召回率）也较低，为45.6%。事实证明，仅靠ICD9-CM不足以用于生物监测。
