TIMC-IMAG UMR CNRS 5525, ThEMAS Team, Université Grenoble Alpes, Domaine de la Merci, 5 Avenue du Grand Sablon, 38700 La Tronche, France.
Medicina (Kaunas). 2023 Jul 11;59(7):1283. doi: 10.3390/medicina59071283.
: The relevance of red flags in serious spinal pathology (SSP) has evolved throughout the last years. Recently, new considerations have been proposed to expand the consideration of red flags. The purpose of this study was to determine, approve and test a model for the triage and management process of SSPs based on the latest data available in the literature. : The SSP model was initially built on the basis of a literature review. The model was further determined and approved by an expert panel using a Delphi process. Finally, clinical scenarios were used to test the applicability of the model. : After three rounds of the Delphi process, panellists reached a consensus on a final version of the model. The use of clinical scenarios by experts brought about reflexive elements both for the determined model and for the SSPs depicted in the clinical cases. : The validation of the model and its implementation in the clinical field could help assess the skills of first-line practitioners managing spinal pain patients. To this end, the development of additional clinical scenarios fitting the determined model should be further considered.
：近年来，严重脊柱病变（SSP）中“危险信号”的相关性发生了演变。最近，提出了一些新的考虑因素来扩大对“危险信号”的关注。本研究旨在根据现有文献中的最新数据，确定、批准并测试一种 SSP 分诊和管理流程模型。：SSP 模型最初是基于文献回顾构建的。然后，使用 Delphi 流程，由专家小组进一步确定和批准该模型。最后，使用临床场景来测试该模型的适用性。：经过三轮 Delphi 流程，专家组成员就模型的最终版本达成了一致。专家使用临床场景不仅为确定的模型，也为临床病例中描述的 SSP 带来了反思元素。：模型的验证及其在临床领域的实施有助于评估一线从业者管理脊柱疼痛患者的技能。为此，应进一步考虑开发符合既定模型的更多临床场景。
