清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Development and validation of BLOOMY prediction scores for 14-day and 6-month mortality in hospitalised adults with bloodstream infections: a multicentre, prospective, cohort study.

医学 前瞻性队列研究 队列 逻辑回归 比例危险模型 队列研究 儿科 血流感染 内科学
作者
Evelina Tacconelli,Siri Göpel,Beryl P Gladstone,Simone Eisenbeis,Florian Hölzl,Michael Buhl,Anna Górska,Chiara Cattaneo,Alexander Mischnik,Siegbert Rieg,Anna M Rohde,Britta Kohlmorgen,Jane Falgenhauer,Janina Trauth,Nadja Käding,Evelyn Kramme,Lena M Biehl,Sarah V Walker,Silke Peter,Petra Gastmeier,Trinad Chakraborty,Maria Jgt Vehreschild,Harald Seifert,Jan Rupp,Winfried V Kern
出处
期刊:Lancet Infectious Diseases [Elsevier BV]
卷期号:22 (5): 731-741
标识
DOI:10.1016/s1473-3099(21)00587-9
摘要

The burden of bloodstream infections remains high worldwide and cannot be confined to short-term in-hospital mortality. We aimed to develop scores to predict short-term and long-term mortality in patients with bloodstream infections.The Bloodstream Infection due to Multidrug-resistant Organisms: Multicenter Study on Risk Factors and Clinical Outcomes (BLOOMY) study is a prospective, multicentre cohort study at six German tertiary care university hospitals to develop and validate two scores assessing 14-day and 6-month mortality in patients with bloodstream infections. We excluded patients younger than 18 years or who were admitted to an ophthalmology or psychiatry ward. Microbiological, clinical, laboratory, treatment, and survival data were prospectively collected on day 0 and day 3 and then from day 7 onwards, weekly. Participants were followed up for 6 months. All patients in the derivation cohort who were alive on day 3 were included in the analysis. Predictive scores were developed using logistic regression and Cox proportional hazards models with a machine-learning approach. Validation was completed using the C statistic and predictive accuracy was assessed using sensitivity, specificity, and predictive values.Between Feb 1, 2017, and Jan 31, 2019, 2568 (61·5%) of 4179 eligible patients were recruited into the derivation cohort. The in-hospital mortality rate was 23·75% (95% CI 22·15-25·44; 610 of 2568 patients) and the 6-month mortality rate was 41·55% (39·54-43·59; 949 of 2284). The model predictors for 14-day mortality (C statistic 0·873, 95% CI 0·849-0·896) and 6-month mortality (0·807, 0·784-0·831) included age, body-mass index, platelet and leukocyte counts, C-reactive protein concentrations, malignancy (ie, comorbidity), in-hospital acquisition, and pathogen. Additional predictors were, for 14-day mortality, mental status, hypotension, and the need for mechanical ventilation on day 3 and, for 6-month mortality, focus of infection, in-hospital complications, and glomerular filtration rate at the end of treatment. The scores were validated in a cohort of 1023 patients with bloodstream infections, recruited between Oct 9, 2019, and Dec 31, 2020. The BLOOMY 14-day score showed a sensitivity of 61·32% (95% CI 51·81-70·04), a specificity of 86·36% (83·80-88·58), a positive predictive value (PPV) of 37·57% (30·70-44·99), and a negative predictive value (NPV) of 94·35% (92·42-95·80). The BLOOMY 6-month score showed a sensitivity of 69·93% (61·97-76·84), a specificity of 66·44% (61·86-70·73), a PPV of 40·82% (34·85-47·07), and a NPV of 86·97% (82·91-90·18).The BLOOMY scores showed good discrimination and predictive values and could support the development of protocols to manage bloodstream infections and also help to estimate the short-term and long-term burdens of bloodstream infections.DZIF German Center for Infection Research.For the German translation of the abstract see Supplementary Materials section.
最长约 10秒,即可获得该文献文件

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
逍遥子完成签到,获得积分10
7秒前
大大大忽悠完成签到 ,获得积分10
30秒前
Akim应助科研通管家采纳,获得10
48秒前
胡萝卜完成签到,获得积分10
58秒前
liputao完成签到 ,获得积分10
1分钟前
1分钟前
好运常在完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
路路完成签到 ,获得积分10
3分钟前
曾经冰露完成签到,获得积分10
3分钟前
3分钟前
4分钟前
坚定的天曼完成签到,获得积分20
4分钟前
研友_nxw2xL完成签到,获得积分10
4分钟前
如歌完成签到,获得积分10
4分钟前
曾经不言完成签到 ,获得积分0
4分钟前
读书的畀完成签到 ,获得积分10
5分钟前
学术laji完成签到 ,获得积分10
5分钟前
5分钟前
laochen完成签到 ,获得积分10
6分钟前
spinon完成签到,获得积分10
6分钟前
CZR123发布了新的文献求助10
6分钟前
蝎子莱莱xth完成签到,获得积分10
6分钟前
金秋完成签到,获得积分0
6分钟前
氢锂钠钾铷铯钫完成签到,获得积分10
6分钟前
Square完成签到,获得积分10
6分钟前
顾矜应助科研通管家采纳,获得30
6分钟前
6分钟前
CZR123发布了新的文献求助10
7分钟前
王王完成签到 ,获得积分10
7分钟前
CZR123发布了新的文献求助10
8分钟前
帅气的芷文完成签到,获得积分10
8分钟前
成就的香菇完成签到,获得积分10
8分钟前
科研通AI2S应助科研通管家采纳,获得10
8分钟前
ding应助科研通管家采纳,获得30
8分钟前
luo完成签到,获得积分10
9分钟前
臭鼬完成签到 ,获得积分10
9分钟前
冷静冰萍完成签到 ,获得积分10
9分钟前
汉堡包应助CZR123采纳,获得10
9分钟前
高分求助中
论现代体育科学研究的方法学特征 1000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
Petrology and Plate Tectonics 500
A Handbook of User Experience Research & Design in Libraries 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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6911320
求助须知:如何正确求助?哪些是违规求助? 8603730
关于积分的说明 18258697
捐赠科研通 6320153
什么是DOI,文献DOI怎么找? 3066596
关于科研通互助平台的介绍 2092216
邀请新用户注册赠送积分活动 2043897