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Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty

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...

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Autores principales: Tong, Sheng-Xiong, Li, Ren-Song, Wang, Dan, Xie, Xiao-Meng, Ruan, Yuan, Huang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631398/
https://www.ncbi.nlm.nih.gov/pubmed/37946775
http://dx.doi.org/10.12998/wjcc.v11.i29.7026
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author Tong, Sheng-Xiong
Li, Ren-Song
Wang, Dan
Xie, Xiao-Meng
Ruan, Yuan
Huang, Lin
author_facet Tong, Sheng-Xiong
Li, Ren-Song
Wang, Dan
Xie, Xiao-Meng
Ruan, Yuan
Huang, Lin
author_sort Tong, Sheng-Xiong
collection PubMed
description 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.
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spelling pubmed-106313982023-11-09 Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty Tong, Sheng-Xiong Li, Ren-Song Wang, Dan Xie, Xiao-Meng Ruan, Yuan Huang, Lin World J Clin Cases Retrospective Study 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. Baishideng Publishing Group Inc 2023-10-16 2023-10-16 /pmc/articles/PMC10631398/ /pubmed/37946775 http://dx.doi.org/10.12998/wjcc.v11.i29.7026 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/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.
spellingShingle Retrospective Study
Tong, Sheng-Xiong
Li, Ren-Song
Wang, Dan
Xie, Xiao-Meng
Ruan, Yuan
Huang, Lin
Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title_full Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title_fullStr Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title_full_unstemmed Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title_short Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
title_sort artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631398/
https://www.ncbi.nlm.nih.gov/pubmed/37946775
http://dx.doi.org/10.12998/wjcc.v11.i29.7026
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