Predictive value of lactate levels for mortality in pneumonia: a systematic review and meta-analysis.

IF 1.2 4区 医学 Q4 INFECTIOUS DISEASES
Ziyun Hu, Yanfei Qiang, Xiaolin Yan
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引用次数: 0

Abstract

Introduction: Lactate levels, a marker of tissue hypoxia and metabolic acidosis, have been suggested as a prognostic indicator for patient outcomes in pneumonia. This systematic review and meta-analysis aim to determine the predictive value of lactate levels for mortality in patients with pneumonia.

Methods: A systematic literature search was done using CINAHL, SCOPUS, EMBASE, MEDLINE, Cochrane, Google Scholar, and ScienceDirect databases. Random-effect models were used to calculate pooled effect estimates, including sensitivity, specificity, and diagnostic odds ratios. Heterogeneity, publication bias, and meta-regression analyses were performed.

Results: A total of 17 studies were included. The pooled diagnostic odds ratio for lactate levels in predicting mortality was 5 (95% CI: 3-8). The sensitivity and specificity were 61% (95% CI: 52 - 69%) and 78% (95% CI: 73 - 82%), respectively. The positive and negative likelihood ratios were 2.7 (95% CI: 2.1-3.4) and 0.51 (95% CI: 0.40-0.64). The area under the receiver operating characteristic curve was 0.77 (95% CI: 0.72-0.82). Subgroup analysis showed that studies with lactate cut-off values between 1.2 and 2 mmol/L had better sensitivity, while studies with cut-off values greater than 2 mmol/L had higher specificity.

Conclusions: Lactate levels have moderate predictive value for mortality in patients with pneumonia. This indicator may potentially aid in risk stratification and clinical decision-making. Further research is needed to determine optimal lactate cut-off values and evaluate the potential benefits of incorporating lactate monitoring into pneumonia management strategies.

乳酸水平对肺炎死亡率的预测价值:一项系统回顾和荟萃分析。
乳酸水平是组织缺氧和代谢性酸中毒的标志,已被认为是肺炎患者预后的一个指标。本系统综述和荟萃分析旨在确定乳酸水平对肺炎患者死亡率的预测价值。方法:采用CINAHL、SCOPUS、EMBASE、MEDLINE、Cochrane、谷歌Scholar、ScienceDirect等数据库进行系统文献检索。随机效应模型用于计算合并效应估计,包括敏感性、特异性和诊断优势比。进行异质性、发表偏倚和meta回归分析。结果:共纳入17项研究。乳酸水平预测死亡率的综合诊断优势比为5 (95% CI: 3-8)。灵敏度和特异性分别为61% (95% CI: 52 - 69%)和78% (95% CI: 73 - 82%)。阳性和阴性似然比分别为2.7 (95% CI: 2.1-3.4)和0.51 (95% CI: 0.40-0.64)。受试者工作特征曲线下面积为0.77 (95% CI: 0.72 ~ 0.82)。亚组分析显示,乳酸截断值在1.2 ~ 2 mmol/L之间的研究敏感性较好,而截断值大于2 mmol/L的研究特异性较高。结论:乳酸水平对肺炎患者的死亡率有中等预测价值。该指标可能有助于风险分层和临床决策。需要进一步的研究来确定最佳乳酸临界值,并评估将乳酸监测纳入肺炎管理策略的潜在益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
5.30%
发文量
239
审稿时长
4-8 weeks
期刊介绍: The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries. JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.
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