A Novel Risk Predictive Scoring Model for Predicting Subsequent Infection After Carbapenem-Resistant Gram-Negative Bacteria Colonization in Hematological Malignancy Patients

内科学 医学 粘膜炎 低蛋白血症 肺炎克雷伯菌 殖民地化 败血症 恶性肿瘤 抗生素 胃肠病学 多元分析 化疗 生物 微生物学 生物化学 大肠杆菌 基因
作者
Qiuling Wu,Chenjing Qian,Hua Yin,Fang Liu,Yaohui Wu,Weiming Li,Linghui Xia,Ling Ma,Mei Hong
出处
期刊:Frontiers in Oncology [Frontiers Media]
卷期号:12 被引量:7
标识
DOI:10.3389/fonc.2022.897479
摘要

This study investigated the high-risk factors associated with the increased vulnerability for subsequent clinical CR-GNB infection in carbapenem-resistant Gram-negative bacteria (CR-GNB)-colonized hematological malignancy (HM) patients and built a statistical model to predict subsequent infection.All adult HM patients with positive rectoanal swabs culture for CR-GNB between January 2018 and June 2020 were prospectively followed to assess for any subsequent CR-GNB infections and to investigate the risk factors and clinical features of subsequent infection.A total of 392 HM patients were enrolled. Of them, 46.7% developed a subsequent clinical CR-GNB infection, with 42 (10.7%) cases of confirmed infection and 141 (36%) cases of clinically diagnosed infection. Klebsiella pneumoniae was the dominant species. The overall mortality rate of patients colonized and infected with CR-GNB was 8.6% and 43.7%. A multivariate analysis showed that remission induction chemotherapy and the duration of agranulocytosis, mucositis, and hypoalbuminemia were significant predictors of subsequent infection after CR-GNB colonization. According to our novel risk-predictive scoring model, the high-risk group were >3 times more likely to develop a subsequent infection in comparison with the low-risk group.Our risk-predictive scoring model can early and accurately predict a subsequent CR-GNB infection in HM patients with CR-GNB colonization. The early administration of CR-GNB-targeted empirical therapy in the high-risk group is strongly recommended to decrease their mortality.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Lee完成签到 ,获得积分10
刚刚
小蘑菇应助求道者采纳,获得30
刚刚
刚刚
mouse发布了新的文献求助10
刚刚
后半夜发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
2秒前
3秒前
徐若楠完成签到,获得积分10
3秒前
zbc完成签到,获得积分10
4秒前
风琴完成签到,获得积分10
4秒前
5秒前
李健的小迷弟应助Xie采纳,获得10
5秒前
fd完成签到,获得积分10
5秒前
6秒前
7秒前
在水一方应助苗苗采纳,获得10
7秒前
7秒前
7秒前
xiaoshuai完成签到,获得积分10
9秒前
9秒前
9秒前
qt完成签到,获得积分10
10秒前
JCSY发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
11秒前
12秒前
研友_LMNqrn发布了新的文献求助30
13秒前
陈预立发布了新的文献求助20
13秒前
逮劳发布了新的文献求助10
14秒前
14秒前
猪猪猪xia发布了新的文献求助10
14秒前
假装学霸发布了新的文献求助10
15秒前
苗苗完成签到,获得积分10
15秒前
15秒前
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492186
求助须知:如何正确求助?哪些是违规求助? 8289880
关于积分的说明 17689415
捐赠科研通 5583896
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750377