Suppr超能文献

生物临床检验预测入院时流行性肾综合征的严重程度。

Bioclinical Test to Predict Nephropathia Epidemica Severity at Hospital Admission.

出版信息

Emerg Infect Dis. 2018 Jun;24(6):1045-1054. doi: 10.3201/eid2406.172160.

Abstract

We conducted a multicenter, retrospective cohort study of hospitalized patients with serologically proven nephropathia epidemica (NE) living in Ardennes Department, France, during 2000-2014 to develop a bioclinical test predictive of severe disease. Among 205 patients, 45 (22.0%) had severe NE. We found the following factors predictive of severe NE: nephrotoxic drug exposure (p = 0.005, point value 10); visual disorders (p = 0.02, point value 8); microscopic or macroscopic hematuria (p = 0.04, point value 7); leukocyte count >10 × 10 cells/L (p = 0.01, point value 9); and thrombocytopenia <90 × 10/L (p = 0.003, point value 11). When point values for each factor were summed, we found a score of <10 identified low-risk patients (3.3% had severe disease), and a score >20 identified high-risk patients (45.3% had severe disease). If validated in future studies, this test could be used to stratify patients by severity in research studies and in clinical practice.

摘要

我们对 2000-2014 年期间居住在法国阿登省、经血清学确诊为肾综合征出血热(NE)的住院患者进行了一项多中心、回顾性队列研究,以开发一种能够预测重症疾病的生物临床检测方法。在 205 名患者中,有 45 名(22.0%)患有严重的 NE。我们发现以下因素可预测严重的 NE:肾毒性药物暴露(p=0.005,分值 10);视觉障碍(p=0.02,分值 8);镜下或肉眼血尿(p=0.04,分值 7);白细胞计数>10×10 细胞/L(p=0.01,分值 9);血小板计数<90×10/L(p=0.003,分值 11)。当对每个因素的分值进行求和时,我们发现分值<10 可识别低危患者(3.3%患有严重疾病),分值>20 可识别高危患者(45.3%患有严重疾病)。如果在未来的研究中得到验证,该检测方法可用于研究和临床实践中对患者进行严重程度分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc2c/6004848/95d233fffb8f/17-2160-F1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验