RESUMO
We report a rare case of a 57-year-old female patient with intraluminal tracheal obstruction caused by a benign schwannoma. She underwent successful bronchoscopic resection under general anesthesia, with no complications observed during the post-procedure follow-up. Tracheal schwannomas are exceedingly uncommon, and while conventional treatment involves surgical resection, bronchoscopic techniques, such as laser ablation, can be a valuable alternative, particularly for high-risk patients. Further studies are needed to explore the full potential of bronchoscopic interventions in managing tracheal schwannomas.
RESUMO
El signo del dedo azul (SDA) es una condición poco frecuente causada principalmente por la oclusión de la vasculatura periférica. Clínicamente puede manifestarse como una coloración azulada o eritrocianótica en uno o varios dedos en ausencia de traumatismo y condiciones propias de congelación. Las etiologías son múltiples e incluyen obstrucción del flujo arterial, disminución del flujo venoso y alteración en la viscosidad sanguínea. La importancia de reconocer el signo como motivo de consulta radica en encaminar un diagnóstico temprano e instaurar un tratamiento que evite la evolución natural de la enfermedad hacia la necrosis, amputación o muerte del paciente. Proponemos un algoritmo diagnóstico para reconocer los elementos de la historia clínica que guíen la etiología y los paraclínicos disponibles desde el Servicio de Urgencias.
Blue finger sign (BFS) is a rare condition caused mainly by occlusion of peripheral vasculature. Clinically it may manifest as a bluish, or erythrocyanotic discoloration of one or more fingers in the absence of trauma and freezing conditions. The etiologies are multiple and include arterial flow obstruction, decreased venous flow, and altered blood viscosity. The importance of recognizing the sign as a reason for consultation lies in the early diagnosis and the establishment of a treatment that finally avoids the natural evolution of the disease towards necrosis and finally amputation or death of the patient. We propose a diagnostic algorithm based on recognizing elements of the clinical history that guide the etiology and paraclinical available from the Emergency Department.