孟鲁司特联合信必可在重度哮喘治疗与干预效果分析
Montelukast combined with symbicort analysis in severe asthma treatment and intervention effect
黄灵玲 1孙娇 1戚军娜1
作者信息
- 1. 台州恩泽医疗中心(集团)台州医院 呼吸内科,浙江 台州 317000
- 折叠
摘要
目的 探讨孟鲁司特联合信必可在重度哮喘治疗与干预效果.方法 此次依不同治疗干预方式将2015年1月～2017年1月于本院诊治的重度哮喘患者80例分组为对照组和观察组,对照组用常规护理干预+信必可治疗,观察组用优质护理干预+孟鲁司特+信必可治疗;详细记录2组患者各项实验数据,并将所获相关数据作对比分析,探讨孟鲁司特联合信必可在重度哮喘治疗与干预效果.结果 优质护理干预+孟鲁司特+信必可(观察组)治疗重度哮喘患者临床效果优于常规护理干预+信必可(对照组)临床治疗效果,患者临床症状改善情况优于对照组、护理满意度高于对照组,差异有统计学意义(P<0.05).结论 重度哮喘患者选择优质护理干预+孟鲁司特+信必可治疗干预效果显著,可有效改善患者临床症状、护理满意度高,值得临床上广泛用于治疗干预重度哮喘患者.
Abstract
Objective To investigate the effect of Montelukast Combined with Symbicort in severe asthma treatment and intervention. Methods The treatment according to different interventions will be January 2015 to January 2017 in our hospital 80 cases of severe asthma groups:control group with routine nursing intervention for a letter form treatment, the observation group with high quality nursing the intervention of montelukast Symbicort treatment; detailed records of patients in the two groups of experimental data, and the data for comparative analysis, to explore the combination of montelukast and Symbicort in severe asthma treatment and intervention effect. Results The high quality nursing intervention meng montelukast Symbicort (observation group) for the treatment of severe clinical the effect of nursing intervention in patients with asthma is better than conventional Symbicort (control group) clinical efficacy, clinical symptoms improved better than the control group, nursing satisfaction was higher than the control group, the difference was statistically significant (P< 0.05). Conclusion The high quality nursing intervention of patients with severe asthma montelukast Symbicort treatment effect significantly, can effectively improve the clinical symptoms of patients, nursing satisfaction is high, it is widely used in clinical treatment of patients with severe asthma intervention.
关键词
孟鲁司特/信必可/重度哮喘/优质护理Key words
montelukast/symbicort/severe asthma/quality of nursing care引用本文复制引用
出版年
2017
NETL
NSTL
维普
万方数据