Suppr超能文献

在 MELD 时代,确定肝移植后感染高风险的目标人群。

Identifying a targeted population at high risk for infections after liver transplantation in the MELD era.

机构信息

Veteran's Affair Pittsburgh Healthcare System, Pittsburgh, PA, USA.

出版信息

Clin Transplant. 2011 May-Jun;25(3):420-5. doi: 10.1111/j.1399-0012.2010.01262.x. Epub 2010 May 10.

Abstract

Impact of model for end-stage liver disease (MELD) scoring system on post-transplant infections and associated risk factors are unknown. Infections <90 d post-transplant were assessed in 277 consecutive liver transplant recipients from 1999 to 2008. "High-risk" factors for infections were pre-defined as MELD score >30, ICU stay >48 h prior to transplant, intraoperative transfusion ≥15 units, retransplantation, post-transplant dialysis, or reoperation. Of the 240 recipients in the MELD era (2002-2008), 48.5% had any high-risk factor. The OR for infection was 1.69, 2.00, 18.00, and 4.50 in recipients with any 1, 2, 3, and ≥4 high-risk factors, respectively (χ(2) for trend, p < 0.001). In logistic regression model, recipient age (OR 1.12, p < 0.05) and any high-risk factor (OR 2.42, p < 0.05) were associated with infections. Compared with 37 pre-MELD recipients, the overall infections and mortality at 12 months did not differ in the two eras. In Cox regression model, recipient age (OR 1.09, p < 0.05) and any high-risk factor (OR 2.42, p < 0.05) remained associated with infections. The overall frequency of infections did not increase in the MELD era. Pre-defined risk factors accurately predicted the risk of infections in these patients.

摘要

模型终末期肝病评分系统(MELD)对移植后感染及其相关危险因素的影响尚不清楚。在 1999 年至 2008 年间,对 277 例连续肝移植受者进行了移植后 <90 d 的感染评估。将 MELD 评分>30、移植前 ICU 停留时间>48 h、术中输血≥15 单位、再次移植、移植后透析或再次手术定义为感染的“高危”因素。在 MELD 时代(2002-2008 年)的 240 例受者中,48.5%存在任何高危因素。感染的 OR 分别为 1.69、2.00、18.00 和 4.50,存在任何 1、2、3 和≥4 个高危因素的受者(趋势χ(2)检验,p<0.001)。在 logistic 回归模型中,受者年龄(OR 1.12,p<0.05)和任何高危因素(OR 2.42,p<0.05)与感染相关。与 37 例 MELD 前受者相比,两个时期的总感染率和 12 个月死亡率无差异。在 Cox 回归模型中,受者年龄(OR 1.09,p<0.05)和任何高危因素(OR 2.42,p<0.05)仍与感染相关。MELD 时代感染的总频率并未增加。预定义的危险因素可准确预测这些患者的感染风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验