Suppr超能文献

继发性弥漫性腹膜炎预后因素的文献综述

Literature Review of Prognostic Factors in Secondary Generalized Peritonitis.

作者信息

Luțenco Valerii, Beznea Adrian, Mihailov Raul, Țocu George, Luțenco Verginia, Mihailov Oana Mariana, Patriciu Mihaela, Pascaru Grigore, Baroiu Liliana

机构信息

Faculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.

Clinical Emergency Hospital "Sf. Ap. Andrei", 800578 Galați, Romania.

出版信息

Life (Basel). 2025 May 29;15(6):880. doi: 10.3390/life15060880.

Abstract

Generalized secondary peritonitis is a life-threatening intra-abdominal infection requiring urgent surgical intervention. Despite advances in surgical and antimicrobial therapy, morbidity and mortality remain high. Identifying key prognostic factors is crucial for improving patient outcomes. This review examines significant prognostic indicators and explores the potential role of scoring systems and artificial intelligence in risk stratification. A review was conducted using PubMed, Web of Science, Scopus, and Medline databases. Studies published from 2000 to 2024 focusing on prognostic factors in secondary peritonitis were included. A total of 145 studies were identified, with 40 selected based on relevance and methodological quality. Data extraction included patient demographics, comorbidities, severity scores, microbiological profiles, and artificial intelligence applications in peritonitis management. Poor prognosis was associated with advanced age, severe sepsis, organ failure, chronic kidney disease, cardiovascular comorbidities, and diabetes mellitus. The Mannheim Peritonitis Index (MPI) remains a widely validated prognostic tool, while APACHE II and SOFA scores also provide valuable risk estimates. Increasing multidrug-resistant infections further complicate management and impact outcomes. Emerging evidence suggests that machine learning algorithms may improve early risk stratification and individualized outcome prediction when integrated with conventional scoring systems. Identifying prognostic factors remains essential for optimizing outcomes in secondary peritonitis, and future research should prioritize the clinical validation and integration of AI-based models into perioperative management protocols.

摘要

广泛性继发性腹膜炎是一种危及生命的腹腔内感染,需要紧急手术干预。尽管手术和抗菌治疗取得了进展,但发病率和死亡率仍然很高。识别关键的预后因素对于改善患者预后至关重要。本综述探讨了重要的预后指标,并探讨了评分系统和人工智能在风险分层中的潜在作用。使用PubMed、科学网、Scopus和Medline数据库进行了一项综述。纳入了2000年至2024年发表的关注继发性腹膜炎预后因素的研究。共识别出145项研究,根据相关性和方法学质量选择了40项。数据提取包括患者人口统计学、合并症、严重程度评分、微生物学特征以及人工智能在腹膜炎管理中的应用。预后不良与高龄、严重脓毒症、器官衰竭、慢性肾脏病、心血管合并症和糖尿病有关。曼海姆腹膜炎指数(MPI)仍然是一个广泛验证的预后工具,而急性生理与慢性健康状况评分系统II(APACHE II)和序贯器官衰竭评估(SOFA)评分也提供了有价值的风险估计。多重耐药感染的增加使管理进一步复杂化并影响预后。新出现的证据表明,机器学习算法与传统评分系统整合时,可能会改善早期风险分层和个体化预后预测。识别预后因素对于优化继发性腹膜炎的预后仍然至关重要,未来的研究应优先对基于人工智能的模型进行临床验证,并将其纳入围手术期管理方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56f9/12194641/f51f46269b85/life-15-00880-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验