Measurement of lactate in pleural fluid rapidly identify infection and guide therapy

医学 生物标志物 乳酸脱氢酶 胸腔积液 内科学 接收机工作特性 肺旁积液 胸膜液 胃肠病学 曲线下面积 前瞻性队列研究 病理 外科 生物化学 化学
作者
Niclas Johansson,Karin Andersson Ydsten,Carolina Backman-Johansson,Martin Vondracek,Jonas Hedlund
出处
期刊:Infectious diseases [Taylor & Francis]
卷期号:55 (6): 396-404
标识
DOI:10.1080/23744235.2023.2192278
摘要

Background Measurements of pleural fluid biomarkers for rapid identification of complicated parapneumonic effusion (CPPE) are crucial for optimal management. Previous studies for biomarker evaluation were however based on pleura culture, not modern DNA technique. Lactate has not been thoroughly studied earlier as a potential biomarker in this regard.Objectives To evaluate whether the routine biomarkers pH, glucose, lactate dehydrogenase (LDH) measured in pleural fluid in a microbiological well characterised cohort could differentiate simple parapneumonic effusion (SPPE) from CPPE and if pleural fluid lactate could be of additional use in this discrimination.Methods Pleural fluid prospectively collected from adult patients (n = 112) with PPE admitted to the Departments of Infectious Diseases (DIDs) at four Stockholm County hospitals were characterised microbiologically with bacterial culture and 16S rDNA sequencing, and biochemically with pH, glucose, LDH and lactate.Results Forty and seventy two patients were categorised as SPPE/CPPE. The median values between SPPE/CPPE differed significantly for all biomarkers with varying overlap. Receiver operating characteristics (ROC) curves showed the area under the curve (AUC) for pH 0.905 (CI 0.847–0.963), glucose 0.861 (CI 0.79–0.932), LDH 0.917 (CI 0.860–0.974) and lactate 0.927 (CI 0.877–0.977), corresponding to best cut-off levels and sensitivity/specificity for pH of 7.255, 0.819/0.9, glucose 5.35 mmol/L, 0.847/0.775, LDH 9.8 µcat/L, 0.905/0.825 and lactate 4.9 mmol/L, 0.875/0.85.Conclusions To distinguish between SPPE/CPPE, pH and LDH performed well, but optimal cut-off values differed from earlier established recommendations. Pleura lactate had the largest AUC of the investigated biomarkers and may be used in the analyses of PPE-staging.

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
刚刚
2秒前
2秒前
爆米花应助Melody采纳,获得10
3秒前
12完成签到,获得积分20
6秒前
cheetah发布了新的文献求助10
8秒前
爆米花应助ping采纳,获得10
9秒前
10秒前
wolin完成签到,获得积分10
10秒前
11秒前
王小姐不吃药完成签到,获得积分10
12秒前
xxd发布了新的文献求助10
13秒前
13秒前
13秒前
17秒前
18秒前
4444455555555完成签到,获得积分10
18秒前
乌拉挂机发布了新的文献求助10
18秒前
19秒前
xiaoxuanzi发布了新的文献求助10
19秒前
汉堡包应助我们去哪li采纳,获得10
20秒前
22秒前
今后应助Huang采纳,获得10
22秒前
KK完成签到,获得积分10
22秒前
24秒前
无情夏槐发布了新的文献求助10
25秒前
25秒前
风华发布了新的文献求助30
26秒前
池鱼发布了新的文献求助10
27秒前
27秒前
Owen应助lixp采纳,获得10
29秒前
cheetah完成签到,获得积分10
31秒前
31秒前
万家顺发布了新的文献求助10
33秒前
33秒前
大模型应助乌拉挂机采纳,获得10
34秒前
34秒前
Z1POKK完成签到,获得积分10
35秒前
文林宝贝发布了新的文献求助10
36秒前
38秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576776
求助须知:如何正确求助?哪些是违规求助? 9156350
关于积分的说明 19588291
捐赠科研通 7160548
什么是DOI,文献DOI怎么找? 3265116
关于科研通互助平台的介绍 2430202
邀请新用户注册赠送积分活动 2255726