Huang Li, Feng Chun
Department of Geriatric Intensive Care Unit Nursing, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu 610072, China.
J Oncol. 2022 Jun 15;2022:4711935. doi: 10.1155/2022/4711935. eCollection 2022.
NIV (noninvasive ventilation) is becoming more popular as a first-line treatment for older patients with lung cancer who are experiencing acute respiratory failure. In the ICU, older age is linked to worse results with mechanical breathing. When dealing with severely sick patients, noninvasive ventilation is beneficial. Due to the risk of NIV failure and the higher mortality induced by delayed intubation, it is difficult to apply to older patients, especially those with lung cancer and respiratory insufficiency. As a result, for a successful outcome, nurse interventions should be provided to patients during noninvasive ventilation. This paper proposes the application of integrated perioperative nursing models on the elderly patients with lung cancer and respiratory failure. We have applied three nursing models: peer support nursing model, multidisciplinary cooperative nursing model, and transcultural nursing theory. The effect of the proposed nursing model on the efficacy of NIV is evaluated using the Logical Decision Tree Regression (LDTR) model. It is optimized using Iterative Fruit Fly Optimization Algorithm (IFOA). The performance of the suggested system is analysed, and it is observed that the patients showed better surgical outcomes when provided with the integrated nursing models.
无创通气(NIV)作为老年肺癌急性呼吸衰竭患者的一线治疗方法正变得越来越普遍。在重症监护病房(ICU),高龄与机械通气的较差结果相关。在处理重症患者时,无创通气是有益的。由于无创通气失败的风险以及延迟插管导致的较高死亡率,它很难应用于老年患者,尤其是那些患有肺癌和呼吸功能不全的患者。因此,为了取得成功的结果,在无创通气期间应为患者提供护理干预措施。本文提出将围手术期综合护理模式应用于老年肺癌和呼吸衰竭患者。我们应用了三种护理模式:同伴支持护理模式、多学科合作护理模式和跨文化护理理论。使用逻辑决策树回归(LDTR)模型评估所提出的护理模式对无创通气疗效的影响。它使用迭代果蝇优化算法(IFOA)进行优化。分析了所建议系统的性能,观察到为患者提供综合护理模式时手术结果更好。