Fernández-Ávila Daniel G, Rojas María Ximena, Mora Sergio A, Varela Rojas Paola, Vanegas-García Lucía, Sapag-Durán Ana María, Hormaza Andrés Alberto, Fernández Andres Ricardo, Cachafeiro-Vilar Antonio, Meléndez Belia Lucía, Caballero-Uribe Carlo V, Toro-Gutiérrez Carlos Enrique, Palleiro-Rivero Daniel Rubén, Jaimes-Fernández Diego Alejandro, Arrieta Dina Maria, Álvarez Fausto, Pinto-Patarroyo Gineth Paola, Quiceno Guillermo Andrés, Pons-Estel Guillermo, Gómez Puerta Jose A, Báez Jossiell Then, Bello-Gualtero Juan Manuel, Gutiérrez Juan Martín, Segura Juan Sebastian, Ferreyra Leandro Gabriel, Stange Lilith, Saldarriaga Lina Maria, Ugarte-Gil Manuel Francisco, Cardiel Mario H, Moreno Mario Javier, Quintero Maritza, Porras Marlon B, Colman Nelly, Chávez Nilmo Noel, Ruiz Oscar Orlando, Méndez-Patarroyo Paul, Machado-Xavier Ricardo, Caicedo Tomás, Ocampo Vanessa, Bautista-Molano Wilson Armando, Medina Yimy F, Fuentes-Silva Yurilis Josefina, Soriano Enrique R
PhD. Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistic, School of Medicine, Pontificia Universidad Javeriana-Hospital Universitario San Ignacio, Carrera 7 No. 40 - 62, Bogotá, Colombia.
Department of Clinical Epidemiology and Biostatistic, Medicine Faculty, Pontificia Universidad Javeriana, Bogotá, Colombia.
Clin Rheumatol. 2021 Apr;40(4):1581-1591. doi: 10.1007/s10067-020-05323-w. Epub 2020 Aug 25.
Rheumatic diseases are a reason for frequent consultation with primary care doctors. Unfortunately, there is a high percentage of misdiagnosis.
To design an algorithm to be used by primary care physicians to improve the diagnostic approach of the patient with joint pain, and thus improve the diagnostic capacity in four rheumatic diseases.
Based on the information obtained from a literature review, we identified the main symptoms, signs, and paraclinical tests related to the diagnosis of rheumatoid arthritis, spondyloarthritis with peripheral involvement, systemic lupus erythematosus with joint involvement, and osteoarthritis. We conducted 3 consultations with a group of expert rheumatologists, using the Delphi technique, to design a diagnostic algorithm that has as a starting point "joint pain" as a common symptom for the four diseases.
Thirty-nine rheumatologists from 18 countries of Ibero-America participated in the Delphi exercise. In the first consultation, we presented 94 items to the experts (35 symptoms, 31 signs, and 28 paraclinical tests) candidates to be part of the algorithm; 74 items (25 symptoms, 27 signs, and 22 paraclinical tests) were chosen. In the second consultation, the decision nodes of the algorithm were chosen, and in the third, its final structure was defined. The Delphi exercise lasted 8 months; 100% of the experts participated in the three consultations.
We present an algorithm designed through an international consensus of experts, in which Delphi methodology was used, to support primary care physicians in the clinical approach to patients with joint pain. Key Points • We developed an algorithm with the participation of rheumatologists from 18 countries of Ibero-America, which gives a global vision of the clinical context of the patient with joint pain. • We integrated four rheumatic diseases into one tool with one common symptom: joint pain. It is a novel tool, as it is the first algorithm that will support the primary care physician in the consideration of four different rheumatic diseases. • It will improve the correct diagnosis and reduce the number of paraclinical tests requested by primary care physicians, in the management of patients with joint pain. This point was verified in a recently published study in the journal Rheumatology International (reference number 31).
风湿性疾病是患者经常向基层医疗医生咨询的原因。不幸的是,误诊率很高。
设计一种算法供基层医疗医生使用,以改进对关节疼痛患者的诊断方法,从而提高对四种风湿性疾病的诊断能力。
基于文献综述获得的信息,我们确定了与类风湿关节炎、外周受累的脊柱关节炎、关节受累的系统性红斑狼疮和骨关节炎诊断相关的主要症状、体征和辅助检查。我们使用德尔菲技术与一组专家风湿科医生进行了3次会诊,以设计一种诊断算法,该算法以“关节疼痛”作为这四种疾病的共同症状为起点。
来自伊比利亚美洲18个国家的39名风湿科医生参与了德尔菲活动。在第一次会诊中,我们向专家们展示了94个项目(35个症状、31个体征和28个辅助检查)作为算法的候选项目;选择了74个项目(25个症状、27个体征和22个辅助检查)。在第二次会诊中选择了算法的决策节点,在第三次会诊中确定了其最终结构。德尔菲活动持续了8个月;100%的专家参与了这三次会诊。
我们展示了一种通过专家国际共识设计的算法,其中使用了德尔菲方法,以支持基层医疗医生对关节疼痛患者的临床诊疗。要点•我们在来自伊比利亚美洲18个国家的风湿科医生参与下开发了一种算法,该算法提供了对关节疼痛患者临床情况的全局视野。•我们将四种风湿性疾病整合到一个工具中,具有一个共同症状:关节疼痛。这是一种新颖的工具,因为它是第一个支持基层医疗医生考虑四种不同风湿性疾病的算法。•它将改善正确诊断并减少基层医疗医生在管理关节疼痛患者时要求的辅助检查数量。这一点在最近发表于《国际风湿病学》杂志的一项研究(参考文献编号31)中得到了验证。