Asunto(s)
Síndrome de Bland White Garland/cirugía , Procedimientos Quirúrgicos Cardíacos/efectos adversos , Angiografía por Tomografía Computarizada , Angiografía Coronaria/métodos , Vasos Coronarios/cirugía , Complicaciones Posoperatorias/diagnóstico por imagen , Arteria Pulmonar/cirugía , Síndrome de Bland White Garland/diagnóstico por imagen , Vasos Coronarios/diagnóstico por imagen , Femenino , Humanos , Persona de Mediana Edad , Complicaciones Posoperatorias/etiología , Valor Predictivo de las Pruebas , Arteria Pulmonar/diagnóstico por imagen , Factores de Tiempo , Resultado del TratamientoRESUMEN
Solid organizing hepatic abscess is a rare form of focal infection, which needs differentiation from benign and malignant solid masses. We report a case of a 30-year-old man with a solid organizing hepatic abscess, diagnosed by imaging and ex juvantibus criteria. CT and MRI findings are presented and role of DWI is outlined. Noninvasive diagnosis of a solid organizing hepatic abscess is possible in the appropriate clinical setting; percutaneous or surgical biopsy may be indicated in equivocal cases.
RESUMEN
Abdominal aortic calcification (AAC) is reported as a predictor for cardiovascular events in general population and in hemodialysis patients. At present, there are no AAC data in peritoneal dialysis. The purpose of this study was to evaluate the prognostic role of AAC score on cardiovascular events in peritoneal dialysis patients. Seventy-four peritoneal dialysis patients were enrolled. AAC was measured on baseline lateral abdomen radiographs by the semi-quantitative method as described by Kauppila. The other cardiovascular risk factors were obtained from patient history and blood examination. The Kaplan-Meier method was used to evaluate freedom from cardiovascular events, and differences were assessed with the log-rank statistic. Multivariate Cox regression models addressed time to cardiovascular events. The median period of follow-up was 30.5months (IQR 19.4-32.7). During follow-up, there were 29 cardiovascular events (39.2%). In univariable analysis, patient's age (HR=1.050; P=0.001), urine output (HR=0.999; P=0.02), and AAC stratified by tertiles (overall P-value<0.001) were significantly associated with cardiovascular events. In multivariable regression analysis, AAC score stratified by tertiles was the only independent predictor for cardiovascular events (overall P-value<0.001). To our knowledge, we have shown for the first time that AAC score is an independent predictor of cardiovascular events in peritoneal dialysis patients. Risk stratification by assessment of AAC score may provide important information for the management of cardiovascular disease in peritoneal dialysis patients without any additional expense, because these patients have several abdominal X-ray scans to evaluate the catheter position.
Asunto(s)
Aorta Abdominal/patología , Enfermedades de la Aorta/patología , Calcinosis/patología , Enfermedades Cardiovasculares/etiología , Diálisis Peritoneal , Adulto , Anciano , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/fisiopatología , Estudios de Cohortes , Femenino , Estudios de Seguimiento , Humanos , Estimación de Kaplan-Meier , Persona de Mediana Edad , Análisis Multivariante , Modelos de Riesgos Proporcionales , Estudios Prospectivos , Análisis de Regresión , Medición de Riesgo , Factores de Riesgo , Factores de TiempoRESUMEN
Fractal analysis is a quantitative method used to evaluate complex anatomic findings in their elementary component. Its application to biologic images, particularly to cancellous bones, has been well practiced within the past few years. The aims of these applications are to assess changes in bone and the loss of spongious architecture, indicate bone fragility, and to show the increased risk for fracture in primary or secondary osteoporosis. The applications are very promising to help complete the studies that can define bone density (bone mineral density by dual energy x-ray absorptiometry or quantitative computed tomography), and also have the capacity to distinguish the patients with a high or low risk for fracture. Their extension to the clinical fields, to define a test for fracture risk, is still limited by difficult application to the medical quantitative imaging of bones, between correct application at superficial bones and unreliable application to deep bones. The future evolution and validity do not depend upon fractal methods but upon well-detailed imaging of the bones in clinical conditions.