基于临床决策流程的急诊脓毒症早期识别关键预测因子整合证据总结

Summary of integrated evidence on key predictive factors for early identification of sepsis in emergency department based on clinical decision-making process

  • 摘要:
    目的 整合急诊脓毒症早期识别关键预测因子的最佳证据,并构建基于临床决策流程的证据整合框架。
    方法 系统检索BMJ Best Practice、JBI、NICE等指南库以及PubMed、Embase、Cochrane Library、中国知网等中英文数据库,搜集建库至2025年8月31日发表的关于急诊脓毒症早期识别的相关指南、专家共识及系统评价。由4名研究者独立进行文献筛选、质量评价与证据提取。检索时限为建库至2025年8月31日。
    结果 最终纳入10篇文献。通过对所提取证据进行整合分析,构建了包含三个连续阶段的急诊脓毒症早期识别决策框架:(1)快速筛查与分诊阶段:聚焦可快速获取的床旁指标与高危因素,推荐使用国家早期预警评分(NEWS)进行高危患者筛查。(2)初步评估与诊断验证阶段:整合血乳酸、降钙素原、C-反应蛋白等关键实验室指标,以支持诊断与严重程度分层。(3)动态监测与预后判断阶段:纳入抗菌药物启用时间、液体复苏反应等治疗相关变量,转向治疗反应与预后评估。该框架明确了各决策阶段的核心目标与关键预测因子。
    结论 本研究构建的基于临床决策流程的证据整合框架,将分散的预测因子证据系统映射至连续的临床决策阶段,为急诊工作者实施标准化评估提供了结构化路径。

     

    Abstract:
    OBJECTIVE To integrate the best evidence on key predictive factors for the early identification of sepsis in the emergency department, and to develop an evidence integration framework based on the clinical decision-making process.
    METHODS A systematic search was conducted in guideline repositories such as BMJ Best Practice, JBI, NICE, as well as Chinese and English databases including PubMed, Embase, Cochrane Library and China National Knowledge Infrastructure. Relevant guidelines, expert consensus and systematic reviews on the early identification of sepsis in the emergency department published from the inception of the databases to Aug. 31, 2025, were collected. Four researchers independently performed literature screening, quality assessment and evidence extraction. The search period extended from the inception of the databases to Aug. 31, 2025.
    RESULTS A total of 10 articles were included. Through integrated analysis of the extracted evidence, a decision-making framework for the early identification of sepsis in the emergency department consisting of three sequential stages was developed: (1) Rapid screening and triage stage: focusing on rapidly obtainable bedside indicators and high-risk factors, during which the National Early Warning Score (NEWS) was recommended for screening high-risk patients. (2) Preliminary assessment and diagnostic verification stage: integrating key laboratory indicators, such as blood lactate, procalcitonin and C-reactive protein, to support diagnosis and severity stratification. (3) Dynamic monitoring and prognosis determination stage: incorporating treatment-related variables, such as timing of antibiotic initiation and fluid resuscitation response, to shift the focus to treatment response and prognosis assessment. This framework clarified the core objectives and key predictive factors at each decision-making stage.
    CONCLUSION The evidence integration framework developed in this study, based on the clinical decision-making process, systematically maps scattered evidence on predictive factors to sequential clinical decision-making stages, providing a structured pathway for practitioners in the emergency department to implement standardized assessments.

     

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