Mistry Jai, Falla Deborah, Noblet Tim, Heneghan Nicola R, Rushton Alison
St Georges Hospital NHS Foundation Trust, London, UK.
Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK.
BMC Musculoskelet Disord. 2020 Sep 8;21(1):601. doi: 10.1186/s12891-020-03600-y.
Neuropathic pain (NP) is common in patients presenting with low back related leg pain. Accurate diagnosis of NP is fundamental to ensure appropriate intervention. In the absence of a clear gold standard, expert opinion provides a useful methodology to progress research and clinical practice. The aim of this study was to achieve expert consensus on a list of clinical indicators to identify NP in low back related leg pain.
A modified Delphi method consisting of three rounds was designed in accordance with the Conducting and Reporting Delphi Studies recommendations. Recruitment involved contacting experts directly and through expressions of interest on social media. Experts were identified using pre-defined eligibility criteria. Priori consensus criteria were defined for each round through descriptive statistics. Following completion of round 3 a list of clinical indicators that achieved consensus were generated.
Thirty-eight participants were recruited across 11 countries. Thirty-five participants completed round 1 (92.1%), 32 (84.2%) round 2 and 30 (78.9%) round 3. Round 1 identified consensus (Kendall's W coefficient of concordance 0.456; p < 0.001) for 10 clinical indicators out of the original 14, and 9 additional indicators were added to round 2 following content analysis of qualitative data. Round 2 identified consensus (Kendall's W coefficient of concordance 0.749; p < 0.001) for 10 clinical indicators out of 19, and 1 additional indicator was added to round 3. Round 3 identified consensus for 8 indicators (Kendall's W coefficient of concordance 0.648; p < 0.001). Following completion of the third round, an expert derived consensus list of 8 items was generated. Two indicators; pain variously described a burning, electric shock like and/or shooting into leg and pain in association with other neurological symptoms (e.g. pins and needles, numbness, weakness), were found to have complete agreement amongst expert participants.
Good agreement was found for the consensus derived list of 8 clinical indicators to identify NP in low back related leg pain. This list of indicators provide some indication of the criteria upon which clinicians can identify a NP component to low back related leg pain; further research is needed for stronger recommendations to be made.
神经性疼痛(NP)在伴有腰腿痛的患者中很常见。准确诊断NP是确保适当干预的基础。在缺乏明确金标准的情况下,专家意见为推进研究和临床实践提供了一种有用的方法。本研究的目的是就一组用于识别腰腿痛中NP的临床指标达成专家共识。
根据《进行和报告德尔菲研究建议》设计了一个由三轮组成的改良德尔菲法。招募方式包括直接联系专家以及通过社交媒体上的意向表达。使用预先定义的入选标准来确定专家。通过描述性统计为每一轮定义先验共识标准。在第3轮完成后,生成了一份达成共识的临床指标清单。
来自11个国家的38名参与者被招募。35名参与者完成了第1轮(92.1%),32名(84.2%)完成了第2轮,30名(78.9%)完成了第3轮。第1轮从最初的14项临床指标中确定了10项达成共识(肯德尔和谐系数W为0.456;p<0.001),在对定性数据进行内容分析后,又有9项指标被添加到第2轮。第2轮从19项临床指标中确定了10项达成共识(肯德尔和谐系数W为0.749;p<0.001),并将1项指标添加到第3轮。第3轮确定了8项指标达成共识(肯德尔和谐系数W为0.648;p<0.001)。在第3轮完成后,生成了一份由专家得出的8项共识清单。两项指标,即被描述为灼痛、电击样和/或放射至腿部的疼痛以及与其他神经症状(如刺痛、麻木、无力)相关的疼痛,在专家参与者中完全达成一致。
对于用于识别腰腿痛中NP的8项临床指标的共识清单,达成了良好的一致性。这份指标清单为临床医生识别腰腿痛中的NP成分提供了一些标准指示;需要进一步研究以提出更强有力的建议。