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[创伤后肢体挽救与截肢:决策标准及处理流程]

[Limb salvage and amputation after trauma : Decision criteria and management algorithm].

作者信息

Krettek C, Lerner A, Giannoudis P, Willy C, Müller C W

机构信息

Unfallchirurgische Klinik, Medizinische Hochschule Hannover (MHH), Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.

Department of Orthopedic Surgery, Ziv Medical Center, Rambam st. Zefat, 13100, Zefat, Israel.

出版信息

Unfallchirurg. 2016 May;119(5):358-73. doi: 10.1007/s00113-016-0181-5.

Abstract

The clinical decision-making process for patients with severe trauma of the extremities for primary amputation or to initiate extensive reconstructive measures for limb salvage in the best interests of the patient can be complex and difficult. The many factors influencing the decision-making process, such as local anatomical, pathomechanical, physiological, psychosocial and general factors are demonstrated and discussed. In the past, the role of scores supporting the decision-making process for amputation or limb salvage has been overestimated. In the LEAP study it could clearly be demonstrated that none of the sometimes highly complex scores could fulfill the expectations to predict successful limb salvage or the need for amputation. In this article it is shown that initiators and authors of scores achieved much higher sensitivity and specificity in the inaugural studies compared to the standardized and controlled conditions used in the LEAP study. For a long time, a lack of feeling in the feet was considered a safe and reliable criterion for amputation but the LEAP study has made a substantial contribution to demythologizing this as a lead symptom. Patients with severe trauma of the ankle or foot requiring a free flap or ankle arthrodesis have a significantly worse outcome compared to patients with a below knee amputation. Taking all these influencing factors into consideration, a comprehensive algorithm is presented that facilitates, strengthens and standardizes decision-making for amputation or limb salvage. This algorithm consists of four modules: 1) decision-making, 2) emergency treatment, 3) definitive treatment and 4) fine tuning. In the decision-making module not only local and general injury severity are addressed but the expected result, the general condition, comorbidities, compliance and the will of the patient are also included.

摘要

对于四肢严重创伤患者,以患者的最大利益为出发点,决定进行一期截肢还是启动广泛的重建措施以挽救肢体,这一临床决策过程可能复杂且困难。文中展示并讨论了影响决策过程的诸多因素,如局部解剖、病理力学、生理、心理社会及一般因素。过去,支持截肢或保肢决策过程的评分的作用被高估了。在LEAP研究中可以清楚地表明,有时高度复杂的评分中没有一个能够达到预测保肢成功或截肢必要性的预期。本文表明,与LEAP研究中使用的标准化和对照条件相比,评分的发起者和作者在初始研究中获得了更高的敏感性和特异性。长期以来,足部感觉缺失一直被认为是截肢的一个安全可靠的标准,但LEAP研究为消除这一作为主要症状的误解做出了重大贡献。与膝下截肢患者相比,需要游离皮瓣或踝关节融合术的踝关节或足部严重创伤患者的预后明显更差。考虑到所有这些影响因素,本文提出了一种综合算法,该算法有助于、加强并规范截肢或保肢的决策。该算法由四个模块组成:1)决策,2)紧急治疗,3)确定性治疗,4)微调。在决策模块中,不仅要考虑局部和全身损伤的严重程度,还要考虑预期结果、一般状况、合并症、依从性和患者的意愿。

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