DOI: 10.66106/fnabaf.20250101 ISSN: 3105-8000

基于风险预警理念的护理模式对呼吸内科危重患者血气指标及不良事件的影响（Impact of a Risk-Based Early Warning Nursing Model on Blood Gas Parameters and Adverse Events in Critically Ill Patients in the Respiratory Department）

鲁苏 Su Lu, 尹圆圆 Yuanyuan Yin
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Abstract：Objective To investigate the impact of a risk-based early warning nursing model on blood gas parameters and adverse events in critically ill patients in the respiratory department. Methods A total of 120 critically ill patients from the respiratory department between January 2023 and December 2025 were selected and randomly divided into two groups using a questionnaire-based sampling method (n=60). The control group received conventional nursing care, while the observation group received a risk-based early warning nursing model. Specifically: 1) A three-tier risk early warning system was established with differentiated monitoring frequencies and emergency response protocols; 2) A risk management team was formed to conduct daily dynamic risk assessments using structured evaluation forms covering airways, sputum analysis, and respiratory muscle fatigue, followed by predictive interventions for identified high-risk factors; 3) Hierarchical training, scenario simulations, and regular quality controls were implemented to ensure consistent implementation of early warning and intervention measures, achieving standardized nursing practices. Blood gas parameters before and after intervention were measured in both groups, adverse event rates were calculated, and prognoses were evaluated. Results Post-intervention, the observation group exhibited higher arterial oxygen partial pressure and oxygen saturation levels compared to the control group, while lower arte rial carbon dioxide partial pressure (P<0.05). The incidence of adverse events was significantly lower in the observation group (P<0.05), and both acute physiological and chronic health scores were significantly lower than those in the control group (P<0.05). Conclusion Implementing a nursing model based on risk warning principles for critically ill patients in the respiratory medicine department can effectively improve their blood gas parameters, reduce the risk of adverse events, and thereby enhance patient prognosis.

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