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RESEARCH PRODUCT

Usefulness of the Neutrophil-to-Lymphocyte Ratio as a Predictor of Pneumonia and Urinary Tract Infection Within the First Week After Acute Ischemic Stroke

Robin GensAnissa OurtaniAnissa OurtaniAurelie De VosJacques De KeyserSylvie De Raedt

subject

medicine.medical_specialtyacute ischemic strokepost-stroke infectionsUrinary systempost-stroke urinary tract infection030204 cardiovascular system & hematologyLogistic regression03 medical and health sciences0302 clinical medicineneutrophil-to-lymphocyte ratioInternal medicineNeurologiemedicineNeutrophil to lymphocyte ratioRC346-429StrokeOriginal ResearchUnivariate analysisReceiver operating characteristicbusiness.industrymedicine.diseaseDysphagiaeye diseasesPneumoniaNeurologyNeurology. Diseases of the nervous systemNeurology (clinical)medicine.symptombusinesspost-stroke pneumonia030217 neurology & neurosurgery

description

Background: A high Neutrophil-to-Lymphocyte ratio (NLR) in patients with acute ischemic stroke (AIS) has been associated with post-stroke infections, but it's role as an early predictive biomarker for post-stroke pneumonia (PSP) and urinary tract infection (UTI) is not clear. Aim: To investigate the usefulness of NLR obtained within 24 h after AIS for predicting PSP and UTI in the first week. Methods: Clinical and laboratory data were retrieved from the University Hospital Brussels stroke database/electronic record system. Patients were divided into those who developed PSP or UTI within the first week after stroke onset and those who didn't. Receiver operating characteristics (ROC) curves and logistic regression analysis were used to identify independent predictors. Results: Five hundred and fourteen patients were included, of which 15.4% (n = 79) developed PSP and 22% (n = 115) UTI. In univariate analysis, NLR was significantly higher in patients who developed PSP (4.1 vs. 2.8, p 75 years, male gender, NIHSS > 7, and dysphagia, the AUC increased to 0.84 (95% CI = 0.79–0.89). Conclusion: The NLR within 24 h after AIS appears to have no predictive value for post-stroke UTI, and is only a weak predictor for identifying patients at high risk for PSP. Its predictive value for PSP appears to be much stronger when incorporated in a prediction model including age, gender, NIHSS score, and dysphagia.

10.3389/fneur.2021.671739http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/326796