Email Alert RSS
Volume 15 Issue 2
Mar.  2024
Turn off MathJax
Article Contents
Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2024  >  15(2): 279-284
CHEN Fei, ZHANG Yuguan, ZHU Bo. Prospects of Digital Medicine in Postoperative Pain Management in Children[J]. Medical Journal of Peking Union Medical College Hospital, 2024, 15(2): 279-284. doi: 10.12290/xhyxzz.2023-0429
Citation: CHEN Fei, ZHANG Yuguan, ZHU Bo. Prospects of Digital Medicine in Postoperative Pain Management in Children[J]. Medical Journal of Peking Union Medical College Hospital, 2024, 15(2): 279-284. doi: 10.12290/xhyxzz.2023-0429
shu

Prospects of Digital Medicine in Postoperative Pain Management in Children

doi: 10.12290/xhyxzz.2023-0429
  • 1.

    Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China

  • 2.

    Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funds:

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-119

More Information
  • Corresponding author: ZHU Bo, E-mail: zhubo@pumch.cn
  • Received Date: 2023-09-11
  • Accepted Date: 2023-10-09
  • Publish Date: 2024-03-30
    Abstract
  • In recent years, with the gradual and extensive application of digital medical treatment in the field of medica anesthesia, its role in the postoperative pain management of children has attracted increasing attention. It provides new ideas for the preoperative prediction, postoperative monitoring and evaluation, and treatment management of postoperative pain in children, as well as a new scheme for anesthesiologists to formulate the best postoperative pain management strategy for children. This article reviews digital medical treatment and its application in clinical anesthesia, and reviews the application prospects of this therapy in postoperative pain in children, in order to deepen clinicians' knowledge.
    • FullText(HTML)
  • loading
    • References(30)
  • [1] Cachemaille M, Grass F, Fournier N, et al. Pain intensity in the first 96 hours after abdominal surgery: a prospective cohort study[J]. Pain Med, 2020, 21(4): 803-813. doi:  10.1093/pm/pnz156
    [2] Elshazly M, Shaban A, Gouda N, et al. Ultrasound-guided lumbar erector spinae plane block versus caudal block for postoperative analgesia in pediatric hip and proximal femur surgery: a randomized controlled study[J]. Korean J Anesthesiol, 2023, 76(3): 194-202. doi:  10.4097/kja.22421
    [3] Aulenkamp J L, Mosch L, Meyer-Frieβem C H, et al. Application possibilities of digital tools in postoperative pain therapy[J]. Schmerz, 2023, 37(4): 234-241. doi:  10.1007/s00482-023-00732-7
    [4] Lin B Y, Wu S J. Digital transformation in personalized medicine with artificial intelligence and the Internet of medical things[J]. OMICS, 2022, 26(2): 77-81. doi:  10.1089/omi.2021.0037
    [5] Zhou Y D, Wang F, Tang J, et al. Artificial intelligence in COVID-19 drug repurposing[J]. Lancet Digit Health, 2020, 2(12): e667-e676. doi:  10.1016/S2589-7500(20)30192-8
    [6] Pomari E, Piubelli C, Perandin F, et al. Digital PCR: a new technology for diagnosis of parasitic infections[J]. Clin Microbiol Infect, 2019, 25(12): 1510-1516. doi:  10.1016/j.cmi.2019.06.009
    [7] Liu K P G, Tan W L B, Yip W L J, et al. Making a traditional spine surgery clinic telemedicine-ready in the "new normal" of coronavirus disease 2019[J]. Asian Spine J, 2021, 15(2): 164-171. doi:  10.31616/asj.2020.0508
    [8] Bera K, Schalper K A, Rimm D L, et al. Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology[J]. Nat Rev Clin Oncol, 2019, 16(11): 703-715. doi:  10.1038/s41571-019-0252-y
    [9] Dang A, Arora D, Rane P. Role of digital therapeutics and the changing future of healthcare[J]. J Family Med Prim Care, 2020, 9(5): 2207-2213. doi:  10.4103/jfmpc.jfmpc_105_20
    [10] 刘子嘉, 黄宇光, 罗爱伦. 麻醉与加速术后康复[J]. 中华麻醉学杂志, 2016, 36(8): 909-912. doi:  10.3760/cma.j.issn.0254-1416.2016.08.001

    Liu Z J, Huang Y G, Luo A L. Anesthesia and accelerated postoperative rehabilitation[J]. Chin J Anesthesiol, 2016, 36(8): 909-912. doi:  10.3760/cma.j.issn.0254-1416.2016.08.001
    [11] Pan S, Rong L Q. Mobile applications in clinical and perioperative care for anesthesia: narrative review[J]. J Med Internet Res, 2021, 23(9): e25115. doi:  10.2196/25115
    [12] Makhlouf M M, Garibay E R, Jenkins B N, et al. Postoperative pain: factors and tools to improve pain management in children[J]. Pain Manag, 2019, 9(4): 389-397. doi:  10.2217/pmt-2018-0079
    [13] Richardson P A, Harrison L E, Heathcote L C, et al. mHealth for pediatric chronic pain: state of the art and future directions[J]. Expert Rev Neurother, 2020, 20(11): 1177-1187. doi:  10.1080/14737175.2020.1819792
    [14] Lalloo C, Shah U, Birnie K A, et al. Commercially available smartphone apps to support postoperative pain self-management: scoping review[J]. JMIR Mhealth Uhealth, 2017, 5(10): e162. doi:  10.2196/mhealth.8230
    [15] 朱剑锟, 倪坤, 朱慧杰, 等. 术前焦虑与围术期不良事件相关性的研究进展[J]. 临床麻醉学杂志, 2022, 38(5): 536-539. https://www.cnki.com.cn/Article/CJFDTOTAL-LCMZ202205017.htm

    Zhu J K, Ni K, Zhu H J, et al. Research advances of correlation between preoperative anxiety and perioperative adverse events[J]. J Clin Anesthesiol, 2022, 38(5): 536-539. https://www.cnki.com.cn/Article/CJFDTOTAL-LCMZ202205017.htm
    [16] Wood M D, Correa K, Ding P J, et al. Identification of requirements for a postoperative pediatric pain risk communication tool: focus group study with clinicians and family members[J]. JMIR Pediatr Parent, 2022, 5(3): e37353. doi:  10.2196/37353
    [17] Niu T C, Liu M J, Fang Y, et al. Post-operative pain in children: comparison of pain scores between parents and children[J]. J Paediatr Child Health, 2023, 59(8): 943-947. doi:  10.1111/jpc.16420
    [18] 李玉静. 基于Gabor小波变换和LBP结合的新生儿疼痛表情识别研究[D]. 南京: 南京邮电大学, 2014.

    Li Y J. Neonatal pain expression recognition based on Gabor wavelet and local binary pattern[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2014.
    [19] Sun T, West N, Ansermino J M, et al. A smartphone version of the Faces Pain Scale-Revised and the Color Analog Scale for postoperative pain assessment in children[J]. Paediatr Anaesth, 2015, 25(12): 1264-1273. doi:  10.1111/pan.12790
    [20] Aydin AI, Özyazicioğlu N. Assessment of postoperative pain in children with computer assisted facial expression analysis[J]. J Pediatr Nurs, 2023, 71: 60-65. doi:  10.1016/j.pedn.2023.03.008
    [21] Rawe I M, Lowenstein A, Barcelo C R, et al. Control of postoperative pain with a wearable continuously operating pulsed radiofrequency energy device: a preliminary study[J]. Aesthetic Plast Surg, 2012, 36(2): 458-463. doi:  10.1007/s00266-011-9828-3
    [22] Manickam P, Mariappan S A, Murugesan S M, et al. Artificial intelligence (AI) and Internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare[J]. Biosensors (Basel), 2022, 12(8): 562.
    [23] 中华医学会麻醉学分会"智能化病人自控镇痛管理专家共识"工作小组. 智能化病人自控镇痛管理专家共识[J]. 中华麻醉学杂志, 2018, 38(10): 1161-1165. doi:  10.3760/cma.j.issn.0254-1416.2018.10.002

    Chinese Society of Anesthesiology Task Force on Management of Artificial Intelligent Patient-Controlled Analgesia. Expert consensus on management of artificial intelli-gent patient-controlled analgesia[J]. Chin J Anesthesiol, 2018, 38(10): 1161-1165. doi:  10.3760/cma.j.issn.0254-1416.2018.10.002
    [24] Wang R, Wang S S, Duan N, et al. From patient-controlled analgesia to artificial intelligence-assisted patient-controlled analgesia: practices and perspectives[J]. Front Med (Lausanne), 2020, 7: 145.
    [25] 王韶双, 段娜, 李小刚, 等. 智能化病人自控镇痛对术后镇痛患者不良反应与满意度的影响[J]. 广东医学, 2020, 41(11): 1097-1100. https://www.cnki.com.cn/Article/CJFDTOTAL-GAYX202011006.htm

    Wang S S, Duan N, Li X G, et al. Effects of artificial intelligent patient-controlled analgesia on the adverse reactions and satisfaction for postoperative patients[J]. Guangdong Med J, 2020, 41(11): 1097-1100. https://www.cnki.com.cn/Article/CJFDTOTAL-GAYX202011006.htm
    [26] Haisley K R, Straw O J, Müller D T, et al. Feasibility of implementing a virtual reality program as an adjuvant tool for peri-operative pain control; results of a randomized control-led trial in minimally invasive foregut surgery[J]. Complement Ther Med, 2020, 49: 102356. doi:  10.1016/j.ctim.2020.102356
    [27] Ding L Y, Hua H X, Zhu H F, et al. Effects of virtual reality on relieving postoperative pain in surgical patients: a systematic review and meta-analysis[J]. Int J Surg, 2020, 82: 87-94.
    [28] Xiang H, Shen J B, Wheeler K K, et al. Efficacy of smartphone active and passive virtual reality distraction vs standard care on burn pain among pediatric patients: a randomized clinical trial[J]. JAMA Netw Open, 2021, 4(6): e2112082. doi:  10.1001/jamanetworkopen.2021.12082
    [29] Olbrecht V A, O'Conor K T, Williams S E, et al. Transient reductions in postoperative pain and anxiety with the use of virtual reality in children[J]. Pain Med, 2021, 22(11): 2426-2435. doi:  10.1093/pm/pnab209
    [30] Arane K, Behboudi A, Goldman RD. Virtual reality for pain and anxiety management in children[J]. Can Fam Physician, 2017, 63(12): 932-934.
    • Relative Articles(0)
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1072) PDF downloads(83) Cited by()
    Proportional views
    Related
    Links: National Health Commission of the People's Republic of China Chinese Academy of Medical Sciences(CAMS) AMLC Check CNKI Database CNKI Term Online Chinese General Practice
    Address：Room 302,Third Floor,Building 7, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing 100730, China
    Tel：010-69154261/4262
    E - mail：medj@pumch.cn
    mjpumch@126.com
    Copyright of website：Editorial Office of Medical Journal of Peking Union Medical College Hospital

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return