已发表论文

术前胃内容物的超声评估用于预测手术患者误吸风险:一项范围综述及未来方向

 

Authors Li Y , Tang L, Zou S, Zhu X , Zhang B, Xie C

Received 29 September 2025

Accepted for publication 18 December 2025

Published 8 January 2026 Volume 2026:22 570929

DOI https://doi.org/10.2147/TCRM.S570929

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Garry Walsh

Yuzhou Li,1,2 Li Tang,1,2 Shuying Zou,2,3 Xiangnan Zhu,1 Bo Zhang,2 Caixia Xie2 

1School of Medicine, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China; 2Department of Nursing, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China; 3College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of China

Correspondence: Caixia Xie, Department of Nursing, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China, Email caixiaxie@uestc.edu.cn

Introduction: This scoping review aims to summarise studies evaluating gastric contents in surgical patients using preoperative ultrasound, discuss current challenges, and propose future directions.
Methods: The system retrieved data from 8 databases, including PubMed, with a search period spanning from the inception to May 11, 2025. The scoping review follows the JBI scoping review framework and the PRISMA-ScR reporting guidelines.
Results: A total of 44 studies were included. The research involved various perioperative populations and surgical procedures, with a “full stomach” rate ranging from 0% to 57.7%. Ultrasound operators included anesthesiologists, sonographers, and medical consultants. Assessment methods comprised qualitative, quantitative, or combined approaches. Evaluation metrics included gastric contents nature, Perlas 3-point grading system, gastric antral cross-sectional area (CSA), and gastric volume.
Conclusion: Preoperative gastric ultrasound can provide information about gastric contents, thereby aiding in the identification of aspiration risk and enabling the adoption of appropriate anaesthesia strategies. However, existing studies still face limitations, including restricted study populations and sample sizes, variations in operator training, a lack of consensus on an evaluation metric threshold value, and diverse gastric volume calculation models. Future studies should expand their scale, enhance training for clinicians in gastric ultrasound, and standardise assessment positions, threshold values, and selection criteria for calculation models. Furthermore, we believe that integrating artificial intelligence with gastric ultrasound can overcome the limitations of manual measurement, offering a direction for precise and convenient preoperative assessment of gastric contents.

Keywords: gastric ultrasound, gastric contents, aspiration, gastric antral cross-sectional area, anesthesia