Tiangui Li

Area of research

Neurology · Oncology

Research interest

Research topics from publications: Neutrophil Counts as Promising Marker for Predicting In-Hospital Mortality in Aneurysmal Subarachnoid Hemorrhage; Association Between Serum Albumin and Hospital-Acquired Infections After Aneurysmal Subarachnoid Hemorrhage; Association Between Red Blood Cell Distribution width and Long-Term Mortality in Patients with Intracerebral Hemorrhage; White Blood Cell Count Predicts Mortality in Patients with Spontaneous Intracerebral Hemorrhage; Glucose-albumin ratio as new biomarker for predicting mortality after intracerebral hemorrhage; Predictive model of acute kidney injury after spontaneous intracerebral hemorrhage: A multicenter retrospective study; Association of anemia with mortality in young adult patients with intracerebral hemorrhage; Elevated lactate dehydrogenase predicts pneumonia in spontaneous intracerebral hemorrhage; Preoperative hematocrit levels and postoperative mortality in patients undergoing craniotomy for brain tumors; Association of Postoperative Hypoglycemia With Mortality After Elective Craniotomy. Representative work: Background and Purpose: Systemic inflammation is recognized as a hallmark of stroke. We aimed to evaluate the prognostic value of various inflammatory factors using blood at admission in patients with aneurysmal subarachnoid hemorrhage. Methods: In a multicenter observational study of patients with aneurysmal subarachnoid hemorrhage, the counts of neutrophil, platelet, and lymphocyte were collected on admission. Patients were stratified based on neutrophil counts with propensity score matching to minimize confounding. We calculated the adjusted odds ratios with 95% CIs for the primary outcome of in-hospital mortality and hospital-acquired infections. Results: A total of 6041 patients were in BACKGROUND AND OBJECTIVES: Acute kidney injury is a common comorbidity in patients with intracerebral hemorrhage. Although there are predictive models to determine risk of AKI in patients in critical care or post-surgical scenarios or in general medical floors, there are no models that specifically determine the risk of AKI in patients with ICH. METHODS: Clinical features and laboratory tests were selected by previous studies and LASSO (least absolute shrinkage and selection operator) regression. We used multivariable logistic regression with a bidirectional stepwise method to construct ICH-AKIM (intra

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