验证国际疾病分类标准以识别严重流感住院病例。
Validation of International Classification of Diseases criteria to identify severe influenza hospitalizations.
机构信息
Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
出版信息
Influenza Other Respir Viruses. 2022 May;16(3):371-375. doi: 10.1111/irv.12931. Epub 2022 Jan 4.
In this cohort study of hospitalized patients with linked medical record data, we developed International Classification of Diseases (ICD) criteria that accurately identified laboratory-confirmed, severe influenza hospitalizations (positive predictive value [PPV] 80%, 95% confidence interval [CI] 71-87%), which we validated through medical record documentation. These criteria identify patients with clinically important influenza illness outcomes to inform evaluation of preventive and therapeutic interventions and public health policy recommendations.
在这项有病历记录关联数据的住院患者队列研究中，我们制定了国际疾病分类（ICD）标准，该标准能准确识别经实验室确诊的严重流感住院病例（阳性预测值 [PPV] 80%，95%置信区间 [CI] 71-87%），我们通过病历记录进行了验证。这些标准可识别出具有重要临床意义的流感疾病结局的患者，以提供评估预防和治疗干预措施以及公共卫生政策建议的信息。
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