Melcher Carolin, Wegener Bernd, Jansson Volkmar, Mutschler Wolf, Kanz Karl-Georg, Birkenmaier Christof
Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation, Ludwig-Maximilians-Universität München, Medizinische Fakultät.
Klinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Klinikum der Universität München.
Z Orthop Unfall. 2018 Oct;156(5):554-560. doi: 10.1055/a-0586-4815. Epub 2018 May 14.
Low back pain is a common problem for primary care providers, outpatient clinics and A&E departments. The predominant symptoms are those of so-called "unspecific back pain", but serious pathologies can be concealed by the clinical signs. Especially less experienced colleagues have problems in treating these patients, as - despite the multitude of recommendations and guidelines - there is no generally accepted algorithm.
After a literature search (Medline/Cochrane), 158 articles were selected from 15,000 papers and classified according to their level of evidence. These were attuned to the clinical guidelines of the orthopaedic and pain-physician associations in Europe, North America and overseas and the experience of specialists at LMU Munich, in order to achieve consistency with literature recommendations, as well as feasibility in everyday clinical work and optimised with practical relevance.
An algorithm was formed to provide the crucial differential diagnosis of lumbar back pain according to its clinical relevance and to provide a plan of action offering reasonable diagnostic and therapeutic steps. As a consequence of distinct binary decisions, low back patients should be treated at any given time according to the guidelines, with emergencies detected, unnecessary diagnostic testing and interventions averted and reasonable treatment initiated pursuant to the underlying pathology.
In the context of the available evidence, a clinical algorithm has been developed that translates the complex diagnostic testing of acute low back pain into a transparent, structured and systematic guideline.
腰痛是初级保健提供者、门诊诊所和急诊科常见的问题。主要症状是所谓的“非特异性背痛”,但严重的病理状况可能被临床体征掩盖。尤其是经验不足的同事在治疗这些患者时存在困难,因为尽管有大量的建议和指南,但尚无普遍接受的算法。
在进行文献检索(Medline/考克兰系统评价)后,从15000篇论文中筛选出158篇文章,并根据其证据水平进行分类。这些文章与欧洲、北美及其他地区的骨科和疼痛科医生协会的临床指南以及慕尼黑大学附属医院专家的经验相协调,以实现与文献建议的一致性,以及日常临床工作中的可行性,并根据实际相关性进行优化。
形成了一种算法,根据临床相关性对腰痛进行关键的鉴别诊断,并提供一个行动计划,给出合理的诊断和治疗步骤。由于明确的二元决策,腰痛患者应在任何给定时间根据指南进行治疗,发现紧急情况,避免不必要的诊断测试和干预,并根据潜在病理状况启动合理治疗。
在现有证据的背景下,已开发出一种临床算法,将急性腰痛的复杂诊断测试转化为一个透明、结构化和系统化的指南。