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一种用于预测接受氨基糖苷类药物治疗患者肾毒性的模型。

A model for predicting nephrotoxicity in patients treated with aminoglycosides.

作者信息

Sawyers C L, Moore R D, Lerner S A, Smith C R

出版信息

J Infect Dis. 1986 Jun;153(6):1062-8. doi: 10.1093/infdis/153.6.1062.

Abstract

We have previously identified risk factors for nephrotoxicity in 204 patients receiving aminoglycosides. We added data on an additional 134 patients from the University of Chicago who were treated for longer periods (13.1 +/- 9.4 days) to determine if duration of therapy was also a risk factor. In the combined populations, nephrotoxicity developed in 59 (17.5%) of 338 patients, and duration of therapy was the factor most strongly associated with nephrotoxicity (P less than .0001). A new predictive model was developed that was then tested prospectively on 175 consecutive medical and surgical patients who had plasma levels of aminoglycoside measured. The new model accurately identified 14 of 15 patients with nephrotoxicity (sensitivity = 93%) and 106 of 160 without nephrotoxicity (specificity = 66%). A bedside scoring system accurately identified high-risk and low-risk patients. We believe these data add to the understanding of the clinical correlates of aminoglycoside nephrotoxicity and aid in the identification of high-risk patients.

摘要

我们之前已确定了204例接受氨基糖苷类药物治疗患者发生肾毒性的危险因素。我们补充了来自芝加哥大学另外134例治疗时间更长(13.1±9.4天)患者的数据,以确定治疗时长是否也是一个危险因素。在合并人群中,338例患者中有59例(17.5%)发生了肾毒性,治疗时长是与肾毒性关联最密切的因素(P<0.0001)。我们开发了一种新的预测模型,随后对175例连续接受治疗且检测了氨基糖苷类血浆水平的内科和外科患者进行了前瞻性测试。新模型准确识别出了15例肾毒性患者中的14例(敏感性=93%)以及160例无肾毒性患者中的106例(特异性=66%)。一种床旁评分系统能够准确识别高危和低危患者。我们认为这些数据有助于加深对氨基糖苷类肾毒性临床相关因素的理解,并有助于识别高危患者。

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