Author: Zhao, Chun-Hong; Wu, Hui-Tao; Che, He-Bin; Song, Ya-Nan; Zhao, Yu-Zhuo; Li, Kai-Yuan; Xiao, Hong-Ju; Zhai, Yong-Zhi; Liu, Xin; Lu, Hong-Xi; Li, Tan-Shi
Title: Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study Document date: 2020_3_5
ID: tk3861u0_22
Snippet: This study suggested that the vital signs of body temperature, HR, RR, SBP, and DBP had important clinical value in predicting the fatal adverse prognosis in patients with fever, and the sum of their weights was 0.3186. It also showed that SPO 2 was one of the independent protective factors for poor prognosis in patients with fever. When HR, RR, and SBP increased in patients with fever, SPO 2 should be detected in time, and should be improved by .....
Document: This study suggested that the vital signs of body temperature, HR, RR, SBP, and DBP had important clinical value in predicting the fatal adverse prognosis in patients with fever, and the sum of their weights was 0.3186. It also showed that SPO 2 was one of the independent protective factors for poor prognosis in patients with fever. When HR, RR, and SBP increased in patients with fever, SPO 2 should be detected in time, and should be improved by early non-invasive or invasive mechanical ventilation treatment, so as to reasonably shorten the mechanical ventilation time to reduce the mortality of patients. Single-factor analysis showed that serum sodium of adverse prognosis group was higher than that of good prognosis group, suggesting that for clinical patients with severe fever, timely fluid supplement should be given to correct hyper serum sodium caused by dehydration and other reasons.
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