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Multimed
Por Alexis Suárez Quesada, Andrés José Quesada Vázquez, Ezequiel Ernesto López Espinosa y 2 más.
Contenido en inglés
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stroke-associated infection is a frequent complication after ischemic stroke and is associated with worse functional prognosis and increased mortality. Acute brain injury can induce systemic immune-inflammatory dysregulation that increases susceptibility to infections.
to evaluate the predictive value of stroke severity and its systemic immune-inflammatory response for the early detection of infection associated with acute ischemic stroke.
a prospective observational analytical cohort study was conducted, including 1176 patients with acute ischemic stroke. A logistic regression model was built to identify independent predictors. Model performance was assessed using the Hosmer-Lemeshow test, Nagelkerke R², and discriminative ability through the area under the ROC curve.
the final model retained 5 independent predictors; an NIHSS score ≥ 12 was associated with the highest probability of infection (OR 10.0; 95 % CI: 7.15-14.24). Other independent predictors were absolute lymphocyte values < 2.2 x10⁹/L (OR 3.6; 95 % CI: 2.59-5.19), creatinine ≥ 105 μmol/L (OR 2.7; 95 % CI: 1.96-3.93), blood glucose ≥ 6.0 mmol/L (OR 1.8; 95 % CI: 1.32-2.64), and age ≥ 70 years (OR 1.8; 95 % CI: 1.29-2.56). The area under the ROC curve was 0.86, with a specificity of 94.33 %.
neurological severity, combined with markers of systemic immunoinflammatory dysfunction, allows predicting the risk of stroke-associated infection. This model could facilitate early risk stratification.
Publicado en Multimed. El resumen se muestra tal como se publicó y sigue siendo obra de sus autores; lee el artículo completo en la fuente.
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