Z Orthop Unfall 2018; 156(05): 554-560
DOI: 10.1055/a-0586-4815
Originalarbeit
Georg Thieme Verlag KG Stuttgart · New York

Management von akutem Kreuzschmerz ohne Trauma – ein Algorithmus

Managment of acute low back pain without trauma – an algorithm
Carolin Melcher
1   Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation, Ludwig-Maximilians-Universität München, Medizinische Fakultät
,
Bernd Wegener
1   Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation, Ludwig-Maximilians-Universität München, Medizinische Fakultät
,
Volkmar Jansson
1   Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation, Ludwig-Maximilians-Universität München, Medizinische Fakultät
,
Wolf Mutschler
2   Klinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Klinikum der Universität München
,
Karl-Georg Kanz
3   Klinik und Poliklinik für Unfallchirurgie, Klinikum rechts der Isar der Technischen Universität München
,
Christof Birkenmaier
1   Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation, Ludwig-Maximilians-Universität München, Medizinische Fakultät
› Author Affiliations
Further Information

Publication History

Publication Date:
14 May 2018 (online)

Zusammenfassung

Hintergrund Rückenschmerzen stellen ein häufiges Problem in Allgemeinarztpraxen, Spezialambulanzen und chirurgischen Notaufnahmen dar. Überwiegend handelt es sich um sog. „unkomplizierte“ Rückenschmerzen, jedoch können sich schwerwiegende Pathologien hinter dem Symptomkomplex „Kreuzschmerz“ verbergen. Gerade für unerfahrene Kollegen bleibt die Behandlung trotz vielfältiger Empfehlungen und Leitlinien der Fachgesellschaften schwierig, da kaum übersichtliche und schnell einzusehende Handlungsalgorithmen existieren.

Methode In der Literaturrecherche (Medline/Cochrane) wurden aus 15 000 Veröffentlichungen 158 relevante Artikel selektiert und entsprechend ihres Evidenzgrades klassifiziert. Diese wurden mit den Guidelines der Fachgesellschaften für Orthopädie und Schmerztherapie aus Europa, Nordamerika und Übersee sowie Erfahrungswerten der Spezialisten der LMU München abgestimmt, um sowohl eine Übereinstimmung mit den Empfehlungen der Literatur als auch eine Durchführbarkeit im Alltag zu gewährleisten und eine hohe Praxisnähe zu erzielen.

Ergebnis Entstanden ist ein Algorithmus, welcher die entscheidenden Differenzialdiagnosen des akuten Kreuzschmerzes ihrer Priorität entsprechend bearbeitet und einen Handlungsablauf von diagnostischen Maßnahmen und therapeutische Schritten vorgibt. Durch klare binäre Entscheidungen und daraus resultierenden Anweisungen sollen Patienten mit akuten Kreuzschmerzen jederzeit von Kollegen entsprechend den zugrunde liegenden Leitlinien behandelt, Notfälle erkannt, nicht notwendige Untersuchungen und Interventionen vermieden und die für die jeweilige Pathologie sinnvollen therapeutischen Maßnahmen eingeleitet werden können.

Schlussfolgerung Im Kontext der verfügbaren Evidenz entwickelten wir einen klinischen Algorithmus, der die komplexe Diagnostik von akutem Kreuzschmerz in einen transparenten, systematischen und strukturierten Leitfaden umsetzt.

Abstract

Background 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.

Methods 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.

Results 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.

Conclusion 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.

 
  • Literatur

  • 1 Deyo RA, Mirza SK, Martin BI. Back pain prevalence and visit rates: estimates from U.S. national surveys, 2002. Spine (Phila Pa 1976) 2006; 31: 2724-2727
  • 2 Martin BI, Turner JA, Mirza SK. et al. Trends in health care expenditures, utilization, and health status among US adults with spine problems, 1997–2006. Spine (Phila Pa 1976) 2009; 34: 2077-2084
  • 3 Raspe H. Rückenschmerzen. Gesundheitsberichterstattung des Bundes, 2012. Heft 53. Berlin: Robert Koch-Institut; 2012
  • 4 Chou R, Atlas SJ, Loeser JD. et al. Guideline warfare over interventional therapies for low back pain: can we raise the level of discourse?. J Pain 2011; 12: 833-839
  • 5 Itz CJ, Geurts JW, van Kleef M. et al. Clinical course of non-specific low back pain: a systematic review of prospective cohort studies set in primary care. Eur J Pain 2013; 17: 5-15
  • 6 Kinkade S. Evaluation and treatment of acute low back pain. Am Fam Physician 2007; 75: 1181-1188
  • 7 Casser HR, Seddigh S, Rauschmann M. Akuter lumbaler Rückenschmerz. Dtsch Ärztebl Int 2016; 113: 223-234
  • 8 Cherkin DC, Deyo RA, Wheeler K. et al. Physician variation in diagnostic testing for low back pain. Who you see is what you get. Arthritis Rheum 1994; 37: 15-22
  • 9 Bundesärztekammer (BÄK), Kassenärztliche Bundesvereinigung (KBV), Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF). Nationale VersorgungsLeitlinie Nicht-spezifischer Kreuzschmerz – Langfassung. 2. Aufl., Version 1. 2017 DOI: 10.6101/AZQ/000353
  • 10 Cherkin DC, Deyo RA, Wheeler K. et al. Physician views about treating low back pain. The results of a national survey. Spine (Phila Pa 1976) 1995; 20: 1-9
  • 11 van Tulder M, Becker A, Bekkering T. et al. Chapter 3. European guidelines for the management of acute nonspecific low back pain in primary care. Eur Spine J 2006; 15 (Suppl. 02) S169-S191
  • 12 Bach SM, Holten KB. Guideline update: whatʼs the best approach to acute low back pain?. J Fam Pract 2009; 58: E1
  • 13 Rudwaleit M, Marker-Hermann E. [Management of nonspecific low back pain. The new national guidelines 2011]. Z Rheumatol 2012; 71: 485-497
  • 14 Koes BW, van Tulder M, Lin CW. et al. An updated overview of clinical guidelines for the management of non-specific low back pain in primary care. Eur Spine J 2010; 19: 2075-2094
  • 15 Qaseem A, Wilt TJ, McLean RM. et al. Noninvasive treatments for acute, subacute, and chronic low back pain: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2017; 166: 514-530
  • 16 Mafi JN, McCarthy EP, Davis RB. et al. Worsening trends in the management and treatment of back pain. JAMA Intern Med 2013; 173: 1573-1581
  • 17 Berg J, Björck L, Dudas K. et al. Symptoms of a first acute myocardial infarction in women and men. Gend Med 2009; 6: 454-462
  • 18 Patel SN, Kettner NW. Abdominal aortic aneurysm presenting as back pain to a chiropractic clinic: a case report. J Manipulative Physiol Ther 2006; 29: 409.e1-7
  • 19 Rebbeck T, Stiler K, Pfizner M. Abdominal aortic aneurysm an alternative diagnosis for low back pain. Aust J Physiol 1998; 4: 264-265
  • 20 Singh K, Bønaa KH, Jacobsen BK. et al. Prevalence of and risk factors for abdominal aortic aneurysms in a population-based study: The Tromsø Study. Am J Epidemiol 2001; 154: 236-244
  • 21 Nicholas MK, Linton SJ, Watson PJ. et al. Early identification and management of psychological risk factors (“yellow flags”) in patients with low back pain: a reappraisal. Phys Ther 2011; 91: 737-753
  • 22 Underwood M. Diagnosing acute nonspecific low back pain: time to lower the red flags?. Arthritis Rheum 2009; 60: 2855-2857
  • 23 Al Nezari NH, Schneiders AG, Hendrick PA. Neurological examination of the peripheral nervous system to diagnose lumbar spinal disc herniation with suspected radiculopathy: a systematic review and meta-analysis. Spine J 2013; 13: 657-674
  • 24 Chou R, Qaseem A, Owens DK. et al. Diagnostic imaging for low back pain: advice for high-value health care from the American College of Physicians. Ann Intern Med 2011; 154: 181-189
  • 25 Chou R, Qaseem A, Snow V. et al. Diagnosis and treatment of low back pain: a joint clinical practice guideline from the American College of Physicians and the American Pain Society. Ann Intern Med 2007; 147: 478-491
  • 26 Chou R, Fu R, Carrino JA. et al. Imaging strategies for low-back pain: systematic review and meta-analysis. Lancet 2009; 373: 463-472
  • 27 Rubinstein SM, van Tulder M. A best-evidence review of diagnostic procedures for neck and low-back pain. Best Pract Res Clin Rheumatol 2008; 22: 471-482
  • 28 Deyo RA, Diehl AK, Rosenthal M. Reducing roentgenography use. Can patient expectations be altered?. Arch Intern Med 1987; 147: 141-145
  • 29 Gilbert FJ, Grant AM, Gillan MG. et al. Does early imaging influence management and improve outcome in patients with low back pain? A pragmatic randomised controlled trial. Health Technol Assess 2004; 8: iii 1–131
  • 30 Gilbert FJ, Grant AM, Gillan MG. et al. Low back pain: influence of early MR imaging or CT on treatment and outcome – multicenter randomized trial. Radiology 2004; 231: 343-351
  • 31 Jarvik JG. Imaging of adults with low back pain in the primary care setting. Neuroimaging Clin N Am 2003; 13: 293-305
  • 32 Jarvik JG, Hollingworth W, Martin B. et al. Rapid magnetic resonance imaging vs. radiographs for patients with low back pain: a randomized controlled trial. JAMA 2003; 289: 2810-2818
  • 33 Todd NV. Cauda equina syndrome: the timing of surgery probably does influence outcome. Br J Neurosurg 2005; 19: 301-306
  • 34 Devillé WL, van der Windt DA, Dzaferagić A. et al. The test of Lasègue: systematic review of the accuracy in diagnosing herniated discs. Spine (Phila Pa 1976) 2000; 25: 1140-1147
  • 35 Tawa N, Rhoda A, Diener I. Accuracy of clinical neurological examination in diagnosing lumbo-sacral radiculopathy: a systematic literature review. BMC Musculoskelet Disord 2017; 18: 93
  • 36 Deyo RA, Rainville J, Kent DL. What can the history and physical examination tell us about low back pain?. JAMA 1992; 268: 760-765
  • 37 Bigos S, Bowyer O, Braen G, Brown K, Deyo R, Haldeman S. Acute Low Back Problems in Adults. Clinical Practice Guideline No. 14, 1994. Publication No. 95 – 0642.
  • 38 Andersen JC. Is immediate imaging important in managing low back pain?. J Athl Train 2011; 46: 99-102
  • 39 Henschke N, Maher CG, Ostelo RW. et al. Red flags to screen for malignancy in patients with low-back pain. Cochrane Database Syst Rev 2013; (02) CD008686
  • 40 Williams CM, Henschke N, Maher CG. et al. Red flags to screen for vertebral fracture in patients presenting with low-back pain. Cochrane Database Syst Rev 2013; (01) CD008643
  • 41 Hollingworth W, Gray DT, Martin BI. et al. Rapid magnetic resonance imaging for diagnosing cancer-related low back pain. J Gen Intern Med 2003; 18: 303-312
  • 42 Holland C, Jaeger L, Smentkowski U. et al. Septic and aseptic complications of corticosteroid injections: an assessment of 278 cases reviewed by expert commissions and mediation boards from 2005 to 2009. Dtsch Arztebl Int 2012; 109: 425-430
  • 43 Underwood MR, Dawes P. Inflammatory back pain in primary care. Br J Rheumatol 1995; 34: 1074-1077
  • 44 Panda A, Das CJ, Baruah U. Imaging of vertebral fractures. Indian J Endocrinol Metab 2014; 18: 295-303
  • 45 Balagué F, Mannion AF, Pellisé F. et al. Non-specific low back pain. Lancet 2012; 379: 482-491
  • 46 Chou R, Huffman LH. Medications for acute and chronic low back pain: a review of the evidence for an American Pain Society/American College of Physicians clinical practice guideline. Ann Intern Med 2007; 147: 505-514
  • 47 Chou R, Huffman LH. Nonpharmacologic therapies for acute and chronic low back pain: a review of the evidence for an American Pain Society/American College of Physicians clinical practice guideline. Ann Intern Med 2007; 147: 492-504
  • 48 Chou R. Pharmacological management of low back pain. Drugs 2010; 70: 387-402
  • 49 Hancock MJ, Maher CG, Latimer J. et al. Systematic review of tests to identify the disc, SIJ or facet joint as the source of low back pain. Eur Spine J 2007; 16: 1539-1550
  • 50 Poiraudeau S, Foltz V, Drapé JL. et al. Value of the bell test and the hyperextension test for diagnosis in sciatica associated with disc herniation: comparison with Lasègueʼs sign and the crossed Lasègueʼs sign. Rheumatology (Oxford) 2001; 40: 460-466
  • 51 van der Windt DA, Simons E, Riphagen II. et al. Physical examination for lumbar radiculopathy due to disc herniation in patients with low-back pain. Cochrane Database Syst Rev 2010; (02) CD007431
  • 52 Airaksinen O, Brox JI, Cedraschi C. et al. Chapter 4. European guidelines for the management of chronic nonspecific low back pain. Eur Spine J 2006; 15 (Suppl. 02) S192-S300
  • 53 Rossignol M, Poitras S, Dionne C. et al. An interdisciplinary guideline development process: the Clinic on Low-back pain in Interdisciplinary Practice (CLIP) low-back pain guidelines. Implement Sci 2007; 2: 36
  • 54 Roudsari B, Jarvik JG. Lumbar spine MRI for low back pain: indications and yield. AJR Am J Roentgenol 2010; 195: 550-559