Combination of five clinical data as prognostic factors of mortality after ischemic stroke

Abstract

Combination of five clinical data as prognostic factors of mortality after ischemic stroke BACKGROUNDThe mortality rate after ischemic stoke is influenced by various factors. Prognosis after ischemic stroke can be predicted using a scoring system to help the doctor to evaluate patient's condition, neurologic deficits, and possible prognosis as well as make appropriate management decisions. The objective of this study was to identify the factors which determine mortality rates in patients after ischemic stroke and to determine the prognosis of ischemic stroke patients using the predictive mortality score. METHODSThis was a nested case control study using data from the stroke registry and medical records of patients at the Neurology Clinic of Bethesda Hospital Yogyakarta between 2011-2015. Data was analysed using simple and multiple logistic regression analysis. The scoring was analyzed using receiver-operating characteristic (ROC) curve and the cut-off point using area under the curve (AUC). RESULTSMultiple logistic regression analysis showed a significant association between mortality of ischemic stroke patients and age CONCLUSIONSAge, high random blood glucose level, complications, metabolic encephalopathy risk and the use of ventilators are associated with mortality after ischemic stroke. The predictive mortality score can be used to assess the prognosis of patients with ischemic stroke.

Impact of Onset to Hospital Admission Time on Clinical Outcome in Patients with Ischemic Stroke without Reperfusion Therapy

“…UTI and decubitus ulcer were also associated with decreased neurological status, poor clinical outcomes, and higher mortality risk. Gastrointestinal bleeding after the onset of stroke can lead to reduced hemoglobin concentration, neurological damage, poor functional results and death 29 .…”