Department of Trauma and Orthopedic Surgery, Cologne-Merheim Medical Center (CMMC), University of Witten/Herdecke, Cologne, Germany.
Curr Opin Crit Care. 2023 Dec 1;29(6):682-688. doi: 10.1097/MCC.0000000000001108. Epub 2023 Oct 16.
While MESS has historically influenced limb salvage versus amputation decisions, its universal applicability remains uncertain. With trauma systems expanding and advancements in trauma care, the need for a nuanced understanding of limb salvage has become paramount.
Recent literature reflects a shift in the management of mangled extremities. Vascular surgery, plastic surgery, and technological advancements have garnered attention. The MESS's efficacy in predicting amputation postvascular reconstruction has been questioned. Machine learning techniques have emerged as a means to predict peritraumatic amputation, incorporating a broader set of variables. Additionally, advancements in socket design, such as automated adjustments and bone-anchored prosthetics, show promise in enhancing prosthetic care. Surgical strategies to mitigate neuropathic pain, including targeted muscle reinnervation (TMR), are evolving and may offer relief for amputees. Predicting the long-term course of osteomyelitis following limb salvage is challenging, but it significantly influences patient quality of life.
The review underscores the evolving landscape of limb salvage decision-making, emphasizing the need for personalized, patient-centered approaches. The Ganga Hospital Score (GHS) introduces a nuanced approach with a 'grey zone' for patients requiring individualized assessments. Future research may leverage artificial intelligence (AI) and predictive models to enhance decision support. Overall, the care of mangled extremities extends beyond a binary choice of limb salvage or amputation, necessitating a holistic understanding of patients' injury patterns, expectations, and abilities for optimal outcomes.
尽管 MESS 历史上影响了保肢与截肢决策,但它的普遍适用性仍不确定。随着创伤系统的扩展和创伤护理的进步,对保肢的细致理解的需求变得至关重要。
最近的文献反映出对毁损性四肢的处理方式发生了转变。血管外科、整形外科学和技术进步引起了关注。MESS 在预测血管重建后截肢的效果受到了质疑。机器学习技术已成为预测创伤性截肢的一种手段,纳入了更广泛的变量。此外,义肢接受腔设计的进步,如自动调整和骨锚定假体,显示出在改善假体护理方面的潜力。旨在减轻神经性疼痛的手术策略,包括靶向肌肉再支配(TMR),正在不断发展,并可能为截肢者提供缓解。预测保肢后骨髓炎的长期病程具有挑战性,但它显著影响患者的生活质量。
综述强调了保肢决策制定的不断发展的格局,强调需要采用个性化、以患者为中心的方法。Ganga 医院评分(GHS)引入了一种细致的方法,为需要个体化评估的患者设立了“灰色地带”。未来的研究可能会利用人工智能(AI)和预测模型来增强决策支持。总之,毁损性四肢的护理不仅仅是保肢或截肢的二元选择,需要全面了解患者的损伤模式、期望和能力,以实现最佳结果。