Abstract:Objective: To explore the diagnostic value of prediction model established on high resolution computed tomography (HRCT) imaging features in elderly hip fracture patients with early acute lung injury (ALI). Methods: We retrospectively collected the data from 301 elderly patients with hip fracture. All patients were divided into two groups according to the presence of ALI, including ALI group (n=121) and non-ALI group (n=180). Univariate and multivariate analyses were used to compare the sex, age, and chest HRCT data between the two groups. The HRCT performance of the ALI group was observed, and the prediction model of HRCT was established for diagnosis of elderly hip fracture patients with early ALI. Results: The HRCT signs of patch shadow, intense parenchymal opacification (IPO), diffuse ground glass opacity (DGGO) and interlobular septal thickening were significantly more common in the ALI group than in the non-ALI group (P<0.05). The prediction model of HRCT was established using multivariate logistic regression, on the basis of following independent risk factors: IPO, DGGO, and interlobular septal thickening (OR>1, P<0.05). For diagnosis of elderly hip fracture patients with early ALI, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value of this model were 93.4%, 85.6%, 88.7%, 81.3%, 95.1%, respectively. Conclusion: The prediction model based on HRCT imaging characteristics is helpful to diagnose elderly hip fracture patients with early ALI, providing direct and reliable imaging information for clinical diagnosis and treatment.
