Determining the predictive criteria for hospitalization of stroke patients based on clinical symptoms and risk factors By

Abstract

Considering that the emergency rooms of centers such as Imam Reza Hospital, which are crowded and central, there is a possibility of delay in the patient's treatment process, the existence of a scoring system can be effective in speeding up the treatment of patients who benefit more from the treatment. . The purpose of this study is to design a criterion that can predict the patient's outcome with higher accuracy based on risk factors, clinical findings and other possible findings in the emergency room.

Methodology: All patients referred to Imam Reza Tabriz Emergency Department who were diagnosed with stroke in 2018 and were hospitalized in the ward were included in the study. Then all the data including age, sex, type of stroke, mRS before stroke, NIHSS time of entering the emergency room, previous disease history, risk factors (risk factors include modifiable and non-modifiable factors), clinical findings in the initial clinical examination, The time of the incident until the visit to the emergency room and finally the outcome of the patient were extracted and recorded.

Results: 243 patients were included in this study. Based on Kolmogorov Semirinov's statistical method, the age of the patients does not follow the normal distribution. The average age of the patients (67.78-71.49, 95% CI) was 69.63 ± 14.69 years with a median of 70 years. The minimum age of the patients is 29 years and the maximum is 99 years. 160 patients (65.8%) were male and 83 patients (34.2%) were female. Among the patients, the time of occurrence was unknown in 15 patients either due to sleep or due to the lack of awareness of the people around them. The average time interval between the occurrence of the accident and going to the emergency room was 5.56 ± 5.56 hours, with a median of 4 hours and a median of 2 to 7 hours. Out of 243 examined patients, 176 patients were discharged from the hospital