中国抗癌协会癌症康复与姑息治疗专业委员会. 患者自控镇痛治疗癌痛专家共识[J]. 中国肿瘤临床, 2023, 50(15): 757-763. DOI: 10.12354/j.issn.1000-8179.2023.20230486
引用本文: 中国抗癌协会癌症康复与姑息治疗专业委员会. 患者自控镇痛治疗癌痛专家共识[J]. 中国肿瘤临床, 2023, 50(15): 757-763. DOI: 10.12354/j.issn.1000-8179.2023.20230486
Committee of Rehabilitation and Palliative Care, China Anti-Cancer Association. Expert consensus on patient-controlled analgesia for cancer pain treatment[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2023, 50(15): 757-763. DOI: 10.12354/j.issn.1000-8179.2023.20230486
Citation: Committee of Rehabilitation and Palliative Care, China Anti-Cancer Association. Expert consensus on patient-controlled analgesia for cancer pain treatment[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2023, 50(15): 757-763. DOI: 10.12354/j.issn.1000-8179.2023.20230486

患者自控镇痛治疗癌痛专家共识

Expert consensus on patient-controlled analgesia for cancer pain treatment

  • 摘要: 癌痛是一种肿瘤伴发症状,且随着肿瘤的进展而加重,既往有效的镇痛药物经常会出现药物耐受或因镇痛药物剂量的增加导致不良反应增加,这不仅严重影响患者的生存质量,同时也给癌痛治疗提出了巨大挑战。患者自控镇痛(patient-controlled analgesia,PCA)由医护人员预先设置给药方案,通过镇痛泵持续输注,并且允许患者在疼痛加重时自行按压按钮,可按需、快速推注镇痛药物,从而达到及时、有效的镇痛,是三阶梯药物治疗的有效补充。本共识就PCA技术在癌痛治疗中的应用、适应证、药物选择、不良反应管理、患者教育等方面进行总结,并提出推荐意见。

     

    Abstract: Cancer pain is a common symptom associated with tumors, and it worsens as the tumor progresses. Previously effective analgesic drugs often result in drug tolerance or increased adverse reactions when consumed in escalating doses, significantly impacting patients' quality of life and posing considerable challenges to cancer pain management. Patient-controlled analgesia (PCA) is a pre-programmed drug delivery system administered through an analgesic pump. It allows patients experiencing increased pain to self-administer additional analgesics at the press of a button. This on-demand, rapid administration of analgesic drugs provides timely and effective pain relief, serving as a valuable adjunct to the three-step analgesic ladder approach. This consensus summarizes the application, indications, drug selection, adverse reaction management, and patient education regarding PCA technology for the treatment of cancer pain and provides recommendations.

     

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