A prediction rule to identify low-risk patients with community-acquired pneumonia
A prediction rule to identify low-risk patients with community-acquired pneumonia
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DOI：
10.1056/nejm199701233360402
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发表时间：
1997-01-23
影响因子：
158.5
通讯作者：
Kapoor, WN
中科院分区：
文献类型：
--
作者：
Fine, MJ;Auble, TE;Kapoor, WN
背景
社区获得性肺炎患者的住院率存在相当大的差异，部分原因是医生在评估患者就诊时疾病的严重程度方面存在不确定性。
方法
通过对14199例社区获得性肺炎成年住院患者的数据进行分析，我们推导出了一个预测规则，该规则将患者按照30天内的死亡风险分为五类。该规则通过1991年38039例住院患者的数据以及肺炎患者预后研究团队（PORT）队列研究中2287例住院患者和门诊患者的数据进行了验证。预测规则根据年龄、并存疾病的存在情况、异常的体格检查结果（如呼吸频率≥30次/分钟或体温≥40℃）以及异常的实验室检查结果（如pH值……（此处原文未完整给出相关内容））来计分。
Background There is considerable variability in rates of hospitalization of patients with community-acquired pneumonia, in part because of physicians' uncertainty in assessing the severity of illness at presentation.Methods From our analysis of data on 14,199 adult inpatients with community-acquired pneumonia, we derived a prediction rule that stratifies patients into five classes with respect to the risk of death within 30 days. The rule was validated with 1991 data on 38,039 inpatients and with data on 2287 inpatients and outpatients in the Pneumonia Patient Outcomes Research Team (PORT) cohort study. The prediction rule assigns points based on age and the presence of coexisting disease, abnormal physical findings (such as a respiratory rate of greater than or equal to 30 per minute or a temperature of greater than or equal to 40 degrees C), and abnormal laboratory findings (such as a pH