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Clin Radiol ; 79(7): e900-e907, 2024 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-38599949

RESUMEN

AIM: This study aimed to investigate whether computed tomography (CT)-measured erector spinae parameters (ESPs) have diagnostic, severity assessment, and prognostic predictive value in uremic sarcopenia (US). MATERIALS AND METHODS: A total of 202 uremic patients were enrolled and divided into two groups: a control group and a sarcopenia group. Sarcopenia was classified into two types: severe and nonsevere. The area, volume, and density of the erector spinae (ES) were measured using chest CT images, and the relevant ESP, including the erector spinae index (ESI), total erector spinae volume (TESV), erector spinae density (ESD), and erector spinae gauge (ESG) were calculated. The occurrence of adverse events was followed-up for 36 months. The diagnostic value and severity of US were determined using the receiver operating characteristic (ROC) curve. Survival curves diagnosed using CT were plotted and compared with the curve drawn using the gold standard. Cox regression analysis was used to identify independent risk factors associated with survival in US. RESULTS: With an area under the curve (AUC) of 0.840 and 0.739, the combined ESP has diagnostic value and the ability to assess the severity of US. There was no significant difference in the survival curve between the combined ESP for the diagnosis of US and the gold standard (P > 0.05). ESI is a standalone predictor of survival in patients with US. CONCLUSION: ESP measured by CT has diagnostic values for US and its severity, as well as being a predictive value for the prognosis of US.


Asunto(s)
Sarcopenia , Tomografía Computarizada por Rayos X , Uremia , Humanos , Sarcopenia/diagnóstico por imagen , Sarcopenia/complicaciones , Masculino , Femenino , Pronóstico , Tomografía Computarizada por Rayos X/métodos , Persona de Mediana Edad , Uremia/complicaciones , Uremia/diagnóstico por imagen , Músculos Paraespinales/diagnóstico por imagen , Anciano , Estudios Retrospectivos , Índice de Severidad de la Enfermedad
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