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1.
Clin Rheumatol ; 40(4): 1581-1591, 2021 Apr.
Article in English | MEDLINE | ID: mdl-32840702

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).


Subject(s)
Rheumatic Diseases , Rheumatology , Algorithms , Arthralgia/diagnosis , Humans , Rheumatic Diseases/complications , Rheumatic Diseases/diagnosis , Rheumatologists
2.
Rev. colomb. reumatol ; 25(4): 257-260, oct.-dic. 2018. tab, graf
Article in English | LILACS | ID: biblio-990957

ABSTRACT

ABSTRACT Introduction: Systemic sclerosis (SSc) is a systemic autoimmune disease characterized by fibrosis, inflammation, and microcirculatory alterations. Objective: To evaluate abnormalities in the sublingual microcirculation of SSc patients and to establish any differences compared to healthy controls. Methods: The sublingual microcirculation was determined using a Sidestream dark-field (SDF) imaging device (MicroScan; MicroVision Medical, Amsterdam, the Netherlands) in patients with SSc and controls. Results: Twelve patients with SSc (75% with diffuse cutaneous SSc) were evaluated (mean age: 52.08 ± 2.08 years). A group of 20 volunteers was used as the control. Significantly lower total capillary density (TCD) (9.2 [8.5-9.7] vs. 10.9 [9.8-12.5]) and functional capillary density (FCD) (7.0 [6.8-7.5] vs. 8.6 [7.5-9.8]) were observed in SSc patients than in healthy controls. Conclusions: SSc is related to significantly lower capillary density in the sublingual microcirculation, and the SDF imaging technique could be an alternative to nailfold video-capillaroscopy for diagnosing and following-up patients with SSc.


RESUMEN Introducción: La esclerosis sistémica (SSc) es una enfermedad autoimmune sistémica caracterizada por fibrosis, inflamación y alteraciones en la microcirculación. Objetivo: Evaluar anormalidades en la microcirculación sublingual de pacientes con diagnóstico de esclerosis sistémica y establecer diferencias en comparación con controles sanos. Métodos: Exploramos la microcirculación sublingual utilizando un dispositivo de imágenes de campo oscuro Sidestream (SDF) (Micro Scan, MicroVision Medical, Amsterdam, Holanda) en pacientes con SSc y controles. Resultados: Se evaluaron 12 pacientes con SSc estable (75% con cutánea difusa) (edad media: 52.08 ± 2.08). Un grupo de 20 voluntarios se utilizó como control. Se observó una disminución significativa en la densidad vascular total (TCD) (9.2 [8.5-9.7] vs. 10.9 [9.8-12.5]) y densidad capilar funcional (FCD) (7.0 [6.8-7.5] vs. 8.6 [7.5-9.8]) observado en pacientes con esclerosis sistémica en comparación con controles sanos. Conclusiones: La SSc se relaciona con la disminución significativa de la densidad capilar en la microcirculación sublingual, esta técnica podría ser una alternativa en pacientes críticos con esclerosis sistémica o utilizarse para seguimiento durante la hospitalización.


Subject(s)
Humans , Male , Female , Middle Aged , Scleroderma, Systemic , Inflammation , Microcirculation , Fibrosis , Microscopic Angioscopy
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