Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Oct 16, 2023; 11(29): 7026-7033
Published online Oct 16, 2023. doi: 10.12998/wjcc.v11.i29.7026
Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
Sheng-Xiong Tong, Ren-Song Li, Dan Wang, Xiao-Meng Xie, Yuan Ruan, Lin Huang
Sheng-Xiong Tong, Department of Pain Management, Wuhan First Hospital, Wuhan 430033, Hubei Province, China
Ren-Song Li, Department of Orthopaedics, Wuhan Wuchang Hospital, Wuhan 430063, Hubei Province, China
Dan Wang, Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China
Xiao-Meng Xie, Department of Nursing, Huanggang Central Hospital, Huanggang 438000, Hubei Province, China
Yuan Ruan, Lin Huang, Department of Orthopaedics, Huanggang Central Hospital, Huanggang 438000, Hubei Province, China
Author contributions: Tong SX and Li RS contributed equally to this work; Tong SX and Huang L contributed to the conceptualization, methodology, software of the study; Tong SX and Li RS contributed to the data curation and the drafted the manuscript; Wang D, Xie XM, Li RS and Ruan Y contributed the validation of the study, and the writing, reviewing and editing of the manuscript.
Institutional review board statement: Ethics approval was provided by the ethical committee of Wuhan First Hospital.
Informed consent statement: Written informed consent was obtained from all participants.
Conflict-of-interest statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Lin Huang, MD, Doctor, Department of Orthopaedics, Huanggang Central Hospital, No. 6 Qi’an Avenue, Huangzhou District, Huanggang 438000, Hubei Province, China. lhuang0727@sina.com
Received: August 15, 2023
Peer-review started: August 15, 2023
First decision: August 31, 2023
Revised: September 14, 2023
Accepted: September 22, 2023
Article in press: September 22, 2023
Published online: October 16, 2023
Processing time: 59 Days and 4.4 Hours
Abstract
BACKGROUND

Knee diseases are more common in middle-aged and elderly people, so artificial knee replacement is also more used in middle-aged and elderly people. Although the patient’s pain can be reduced through surgery, often accompanied by moderate pain after surgery and neutralization, which not only increases the psychological burden of the patient, but also greatly reduces the postoperative recovery effect, and may also lead to the occurrence of postoperative adverse events in severe cases.

AIM

To investigate the analgesic effect of artificial intelligence (AI) and ultrasound-guided nerve block in total knee arthroplasty (TKA).

METHODS

A total of 92 patients with TKA admitted to our hospital from January 2021 to January 2022 were opted and divided into two groups according to the treatment regimen. The control group received combined spinal-epidural anesthesia. The research group received AI technique combined with ultrasound-guided nerve block anesthesia. The sensory block time, motor block time, visual analogue scale (VAS) at different time points and complications were contrasted between the two groups.

RESULTS

The time of sensory block onset and sensory block perfection in the research group was shorter than those in the control group, but the results had no significant difference (P > 0.05). Duration of sensory block in the research group was significantly longer than those in the control group (P < 0.05). The time of motor block onset and motor block perfection in the research group was shorter than those in the control group, but the results had no significant difference (P > 0.05). Duration of motor block in the research group was significantly longer than those in the control group. The VAS scales of the research group were significantly lower than that of the control group at different time points (P < 0.05). The postoperative hip flexion and abduction range of motion in the research group were significantly better than those in the control group at different time points (P < 0.05). The incidence of complications was significantly lower in the research group than in the control group (P = 0.049).

CONCLUSION

In TKA, the combination of AI technology and ultrasound-guided nerve block has a significantly effect, with fewer postoperative complications and significantly analgesic effect, which is worthy of application.

Keywords: Artificial intelligence technology; Ultrasound guidance; Nerve blocks; Total knee arthroplasty; Analgesia effects

Core Tip: Entering the century of rapid development, the phenomenon of aging population is also increasing, aging problems have received widespread social attention, middle-aged and elderly people are prone to knee joint lesions, the most important feature of knee joint lesions is its multiple, this disease affects the motor function of the elderly. This study aimed to investigate the analgesic effect of artificial intelligence (AI) and ultrasound-guided nerve block in total knee arthroplasty (TKA). The authors found that in TKA, the combination of AI technology and ultrasound-guided nerve block has a significantly effect, with fewer postoperative complications and significantly analgesic effect, which is worthy of application.