A Novel FAND Nomogram to Predict the Risk of Hospital-Acquired Pneumonia after Acute Ischemic Stroke with Mechanical Thrombectomy
Abstract Background: The timely prediction in the risk of Hospital-Acquired Pneumonia(HAP)in Acute Ischemic stroke (AIS) patients after Mechanical thrombectomy (MT) treatment is of high priority, given the rise in AIS mortality as a result. Although prior extensive research has been conducted in HAP preventive management and therapeutics, ischemic stroke patients are still at serious risk of contracting In-hospital pneumonia infections following certain medical procedures like Mechanical thrombectomy, a care standard for AIS patients. The predictive accuracy of patients with higher infection risk and adjusting therapeutic strategies accordingly will not only provide an enhanced preventive measure perspective but also significantly improve patient outcomes. Hence, our study was aimed at the validation and development of a novel predictive tool for risk stratification and individualized predictions of HAP occurrence in AIS patients after MT therapy. Method: A multicenter retrospective study was executed with 405 AIS patients after undergoing MT treatment and admitted to the three Chinese stroke units. The major measure of outcome was to estimate the risk of HAP after MT through the integration of the following four predictors FBG, Age, NHISS, and Diastolic blood pressure (FAND) into a nomogram. Assessed on the multivariate logistic model, a nomogram was constructed, using the area under the receiver-operating characteristic curve to evaluate the discriminative performance and the Hosmer–Lemeshow test for risk prediction model calibration. Results: Age(OR:1039; 95%Cl 1.017-1.062; p=0.001), NIHSS(National Institutes of Health Stroke Scale) score on admission(OR:1.066; 95%Cl: 1.030-1.103); p< 0.0001), diastolic blood pressure(OR 1.023; 95% Cl 1.006-1.040: p=0.008), Fasting blood glucose(OR 1.1444; 95% Cl 1.029-1.271; p=0.013) remained independent predictors of HAP integrated into the FAND nomogram after AIS Chinese patients received MT treatment. The Hosmer-Lemeshow goodness-of fit-test expressed good calibration(p-value: 0.496) and Area under the curve of 0.737 was exhibited for functional impairment prediction. Conclusion: The FAND nomogram is a novel prognostic model developed and validated in Chinese AIS patients after MT treatment may aid in preventive measure strategies and predict poor patient outcomes.