Skip to main navigation Skip to search Skip to main content

Design of an algorithm for the diagnostic approach of patients with joint pain

  • Daniel G. Fernández-Ávila
  • , María Ximena Rojas
  • , Sergio A. Mora
  • , Paola Varela Rojas
  • , Lucía Vanegas-García
  • , Ana María Sapag-Durán
  • , Andrés Alberto Hormaza
  • , Andres Ricardo Fernández
  • , Antonio Cachafeiro-Vilar
  • , Belia Lucía Meléndez
  • , Carlo V. Caballero-Uribe
  • , Carlos Enrique Toro-Gutiérrez
  • , Daniel Rubén Palleiro-Rivero
  • , Diego Alejandro Jaimes-Fernández
  • , Dina Maria Arrieta
  • , Fausto Álvarez
  • , Gineth Paola Pinto-Patarroyo
  • , Guillermo Andrés Quiceno
  • , Guillermo Pons-Estel
  • , Jose A. Gómez Puerta
  • Jossiell Then Báez, Juan Manuel Bello-Gualtero, Juan Martín Gutiérrez, Juan Sebastian Segura, Leandro Gabriel Ferreyra, Lilith Stange, Lina Maria Saldarriaga, Manuel Francisco Ugarte-Gil, Mario H. Cardiel, Mario Javier Moreno, Maritza Quintero, Marlon B. Porras, Nelly Colman, Nilmo Noel Chávez, Oscar Orlando Ruiz, Paul Méndez-Patarroyo, Ricardo Machado-Xavier, Tomás Caicedo, Vanessa Ocampo, Wilson Armando Bautista-Molano, Yimy F. Medina, Yurilis Josefina Fuentes-Silva, Enrique R. Soriano
  • Hospital Universitario San Ignacio
  • Universidad Javeriana
  • Fundación Hospital Pediátrico la Misericordia
  • Organización Keralty - EPS Sánitas
  • Universidad de Antioquia
  • Hospital Universitario Japonés
  • Universidad ICESI
  • Asociación Colombiana de Reumatología - INMUNAR S.A.S
  • Pacífica Salud - Hospital Punta Pacífica
  • Hospital de la Policiá Nacional N1 Quito
  • Universidad del Norte
  • Centro de Referencia en Osteoporosis y Reumatología
  • University of the Republic
  • Universidad de la Sabana
  • Hospital México
  • Privacy Practice
  • Arthritis and Osteoporosis Center of Northern Virginia
  • University of Texas Southwestern Medical Center
  • Hospital Provincial de Rosario
  • Hospital Clínic of Barcelona
  • Hospital Metropolitano de Santiago
  • Universidad Militar Nueva Granada
  • Clínica Medilaser
  • Hospital Italiano de Buenos Aires
  • Centro de Artritis Reumatoide - Clínica Ciudad del Mar
  • Universidad Tecnológica de Pereira
  • Hospital Guillermo Almenara Irigoyen-Universidad Científica del Sur
  • Centro de Investigación Clínica de Morelia
  • Universidad Espíritu Santo
  • Universidad de los Andes Mérida
  • Organización Keralty - EPS Sánitas
  • Hospital de Clínicas
  • Instituto Guatemalteco de Seguridad Social
  • Universidad de los Andes Colombia
  • Universidade Federal do Rio Grande do Sul
  • Instituto Departamental de Nariño
  • University of Toronto
  • Hospital Universitario Fundación Santa Fe
  • Universidad Nacional de Colombia
  • Universidad de Oriente - Núcleo Bolívar

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Rheumatic diseases are a reason for frequent consultation with primary care doctors. Unfortunately, there is a high percentage of misdiagnosis. Objective: 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. Methods: 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. Results: 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. Conclusion: 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).

Original languageEnglish
Pages (from-to)1581-1591
Number of pages11
JournalClinical Rheumatology
Volume40
Issue number4
DOIs
StatePublished - Apr 2021
Externally publishedYes

Keywords

  • Algorithms
  • Arthritis
  • Lupus erythematosus
  • Osteoarthritis
  • Physicians
  • Primary care
  • Rheumatoid
  • Spondyloarthritis
  • Systemic

Fingerprint

Dive into the research topics of 'Design of an algorithm for the diagnostic approach of patients with joint pain'. Together they form a unique fingerprint.

Cite this