ANESTHESIA, CRITICAL CARE & PAIN MEDICINE（前身为 ANNALES FRANÇAISES D'ANESTHÉSIE ET DE RÉANIMATION）以英文出版最高质量的原创材料，包括科学和临床，涉及麻醉、重症监护和疼痛医学的各个方面。

The journal "Anaesthesia Critical Care and Pain Medicine" (formerly known as "ANNALES FRANÇAISES D'ANESTHÉSIE ET DE RÉANIMATION") publishes high-quality original research in English, including both scientific and clinical studies, covering all aspects of anaesthesia, critical care, and pain medicine.

《Anaesthesia Critical Care and Pain Medicine》（前身为《ANNALES FRANÇAISES D'ANESTHÉSIE ET DE RÉANIMATION》）以英文出版高质量的原创研究，包括科学和临床领域，涵盖麻醉、重症监护和疼痛医学的各个方面。

Anaesthesia Critical Care and Pain Medicine

Nasal surgery has a reported high incidence of agitation during emergence from general anesthesia. Emergence Agitation (EA) increases the risk of surgical site bleeding, falling off the operating table, removal of catheters and intravenous lines, and self-extubation. This study investigated the role of nerve block in EA.

Rasha Hamed

Loay Gamal

Saeid Elsawy

Mohammed Abdelmoneim Baker

Yara Hamdy Abbas

Anaesthesia Critical Care & Pain Medicine

Efficacy of ultrasound guided sphenopalatine ganglion block in management of emergence agitation after sinoscopic nasal surgery: a randomized double-blind controlled study

鼻内镜手术后超声引导蝶腭神经节阻滞对躁动管理的疗效：一项随机双盲对照研究

Acute kidney injury (AKI), a common and severe complication after cardiac surgery, has been demonstrated to be associated with intraoperative hypotension (IOH). The reproducibility of this finding and whether preoperative risk modifies the association remain unclear. We hypothesised that the relationship between IOH and AKI after cardiac surgery varies by preoperative risk.

Xiaofan Huang

Xian Lu

Chunyan Guo

Shuchi Lin

Ying Zhang

Xiaohan Zhang

Erhong Cheng

Jindong Liu

Anaesthesia, critical care & pain medicine

Anaesth Crit Care Pain Med

Effect of preoperative risk on the association between intraoperative hypotension and postoperative acute kidney injury in cardiac surgery.

心脏手术中术前风险对术中低血压与术后急性肾损伤关联的影响。

The war in Ukraine provides purposefully anesthesiologists and intensivists with important data for improving the management of trauma patients. This scoping review aims to investigate the specific management of war-related trauma patients, during the war in Ukraine, through an objective and comprehensive analysis.

Audrey Jarrassier

Nicolas Py

Gaël de Rocquigny

Mathieu Raux

Sigismond Lasocki

Clément Dubost

Emmanuel Bordier

Nicolas Libert

Thomas Leclerc

Éric Meaudre

Pierre Pasquier

Lessons learned from the war in Ukraine for the anesthesiologist and intensivist: A scoping review

从乌克兰战争中汲取的麻醉师和重症医师的经验教训：范围综述

Integrating machine learning (ML) into intensive care units (ICUs) can significantly enhance patient care and operational efficiency. ML algorithms can analyze vast amounts of data from electronic health records, physiological monitoring systems, and other medical devices, providing real-time insights and predictive analytics to assist clinicians in decision-making. ML has shown promising results in predictive modeling for patient outcomes, early detection of sepsis, optimizing ventilator settings, and resource allocation. For instance, predictive algorithms have demonstrated high accuracy in forecasting patient deterioration, enabling timely interventions and reducing mortality rates. Despite these advancements, challenges such as data heterogeneity, integration with existing clinical workflows, and the need for transparency and interpretability of ML models persist. The deployment of ML in ICUs also raises ethical and legal considerations regarding patient privacy and the potential for algorithmic biases. For clinicians interested in the early embracing of AI-driven changes in clinical practice, in this review, we discuss the challenges of integrating AI and ML tools in the ICU environment in several steps and issues: 1. Main categories of ML algorithms; 2. From data enabling to ML development; 3. Decision-support systems that will allow patient stratification, accelerating the foresight of adequate individual care; 4. Improving patient outcomes and healthcare efficiency, with positive society and research implications; 5. Risks and barriers to AI-ML application to the healthcare system, including transparency, privacy, and ethical concerns.

Filipe André Gonzalez

Cristina Santonocito

Tomás Lamasb

Pedro Costa

Susana M Vieira

Hugo Alexandre Ferreira

Filippo Sanfilippo

Is artificial intelligence prepared for the 24-h shifts in the ICU?

人工智能准备好应对ICU的24小时轮班了吗？

Historically, personalised medicine has been synonymous with pharmacogenomics and oncology. We argue for a new framework for personalised medicine analytics that capitalises on more detailed patient-level data and leverages recent advances in causal inference and machine learning tailored towards decision support applicable to critically ill patients. We discuss how advances in data technology and statistics are providing new opportunities for asking more targeted questions regarding patient treatment, and how this can be applied in the intensive care unit to better predict patient-centred outcomes, help in the discovery of new treatment regimens associated with improved outcomes, and ultimately how these rules can be learned in real-time for the patient.

Romain Pirracchio

Mitchell J Cohen

Ivana Malenica

Jonathan Cohen

Antoine Chambaz

Maxime Cannesson

Christine Lee

Matthieu Resche-Rigon

Alan Hubbard

Big data and targeted machine learning in action to assist medical decision in the ICU

大数据与精准机器学习在重症监护室辅助医疗决策中的应用

Patients with Self-Reported Penicillin Allergy (SRPA) receive alternative antibiotics, which increase the length of stay and hospital costs, but the impact of SRPA on mortality in critically ill patients is not well described.

Elise Davis

Catherine Snelson

Nick Murphy

James Hodson

Miruna David

Tonny Veenith

Tony Whitehouse

Self-Reported Penicillin Allergy and antibiotic use in critical care: An observational, retrospective study

重症监护中自我报告的青霉素过敏与抗生素使用：一项观察性回顾性研究

N Elhadjene

A Crouzet

R Charles

J Morel

A French regional survey of the role of general practitioners in the follow-up of patients with post-intensive-care syndrome (PICS)

法国一项关于全科医生在重症监护后综合征（PICS）患者随访中作用的地区性调查

Indications for Veno-venous (VV) or veno-arterial (VA) extracorporeal membrane oxygenation (ECMO) after trauma rely on poor evidence. The main aims were to describe the population of trauma patients requiring either VV or VA ECMO and report their clinical management and outcomes.

Vincent Legros

Yannick Hourmant

Louis Genty

Karim Asehnoune

Quentin De Roux

Lucie Picard

Jean-Denis Moyer

Fanny Bounes

Martin Cailloce

Anais Adolle

Alexandre Behouche

Benjamin Bergis

Jeremy Bourenne

Cyril Cadoz

Emilie Charbit

Jonathan Charbit

Baptiste Compagnon

Charlotte Florin

Nouchan Mellati

Marie Moisan

Helene Nougue

Fanny Planquart

Matthieu Pissot

Julien Pottecher

Guillaume Savary

Hadrien Winiszewski

Nicolas Mongardon

Arthur James

Extracorporeal membrane oxygenation in trauma patient in France: a retrospective nationwide registry

法国创伤患者体外膜肺氧合应用：一项全国性回顾性注册研究

Driving pressure is thought to determine the effect of low tidal ventilation on survival in patients with acute respiratory distress syndrome. The leading cause of mortality in these patients is non-pulmonary multiorgan dysfunction, which is believed to worsen due to the biological response to mechanical ventilation (biotrauma). Therefore, we aimed to analyze the association between driving pressure, biotrauma, and non-pulmonary multiorgan dysfunction. Additionally, we analyzed this relationship for tidal volume / predicted body weight.

Enric Barbeta

Carlos Ferrando

Rubén López-Aladid

Anna Motos

Letícia Bueno-Freire

Laia Fernández-Barat

Alba Soler-Comas

Andrea Palomeque

Albert Gabarrús

Antonio Artigas

Marta Camprubí-Rimblas

Gianluigi Li Bassi

Teresa López-Sobrino

Elena Sandoval

David Toapanta

Sara Fernández

Ricard Mellado-Artigas

Luigi Zattera

Jordi Vallverdú

John G Laffey

Miquel Ferrer

Antoni Torres

Association between Driving Pressure, Systemic Inflammation and Non-pulmonary Organ Dysfunction in Patients with Acute Respiratory Distress Syndrome, a Prospective Pathophysiological Study

急性呼吸窘迫综合征患者驱动压、全身炎症与非肺器官功能障碍之间的关联：一项前瞻性病理生理学研究

Charles Tacquard

Marc Leone

Aurélie Gouel-Cheron

Self-reported penicillin allergy and beta-lactam allergy label: Is ICU so different?

自述青霉素过敏与β-内酰胺过敏标签：ICU有何不同？

Abbreviation	Anaesth. Crit. Care. Pain. Med.
Journal Impact	3.78
Quartiles(Global)	CRITICAL CARE MEDICINE(Q1)

ISSN	2352-5568
h-index	50

Publication Information	Publisher: Elsevier Masson s.r.l.，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2015，Proportion of original research papers: 86.49%，Self Citation Rate:5.40%， Gold OA Rate: 34.15%

Anaesthesia Critical Care and Pain Medicine

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