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Application effect of predictive nursing guided by risk early warning system in patients with acute respiratory failure in ICU |
WEI Xia CAO Xiuting |
Department of Critical Care Medicine, the 4th People′s Hospital of Qinghai Province, Qinghai Province, Xining 810000, China |
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Abstract Objective To explore the effect of predictive nursing guided by risk warning system on the occurrence of ventilator associated pneumonia (VAP) and mechanical ventilation time in patients with acute respiratory failure in ICU. Methods Ninety-eight patients with acute respiratory failure in ICU received in the 4th People′s Hospital of Qinghai Province from January 2017 to January 2019 were divided into control group (49 cases) and study group (49 cases) according to the different nursing intervention schemes. The control group was given routine nursing intervention, while the study group was given predictive nursing under the guidance of risk early warning system on the basis of the control group. The occurrence of VAP and ventilator weaning were observed, the duration of mechanical ventilation, ICU stay and hospital stay were recorded, the blood lactate level, acute physiology and chronic health score (APACHE Ⅱ) were measured. Results The incidence of VAP, ventilator dependence rate and re-intubation rate in the study group were significantly lower than those in the control group (P < 0.05), and the success rate of one-time withdrawal success rate was significantly higher than that in the control group (P < 0.05). The duration of mechanical ventilation, ICU stay and hospital stay in the study group were significantly lower than those in the control group (P < 0.05). After intervention, the blood lactate level and APACHE Ⅱ score in the two groups were lower than those before intervention (P < 0.05), and the blood lactate level and APACHE Ⅱ score in the study group were lower than those in the control group (P < 0.05). Conclusion Predictive nursing guided by risk early warning system can reduce the incidence of VAP in patients with acute respiratory failure in ICU, reduce ventilator dependence, improve prognosis, and have reliable results.
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