沙楠楠, 刘明兴. 气管切开术后下呼吸道感染风险因素识别对提升护理质量的作用[J]. 实用临床医药杂志, 2019, 23(15): 119-121, 125. DOI: 10.7619/jcmp.201915033
引用本文: 沙楠楠, 刘明兴. 气管切开术后下呼吸道感染风险因素识别对提升护理质量的作用[J]. 实用临床医药杂志, 2019, 23(15): 119-121, 125. DOI: 10.7619/jcmp.201915033
SHA Nannan, LIU Mingxing. Effect of risk factors identification of lower respiratory tract infection after tracheotomy on improving nursing quality[J]. Journal of Clinical Medicine in Practice, 2019, 23(15): 119-121, 125. DOI: 10.7619/jcmp.201915033
Citation: SHA Nannan, LIU Mingxing. Effect of risk factors identification of lower respiratory tract infection after tracheotomy on improving nursing quality[J]. Journal of Clinical Medicine in Practice, 2019, 23(15): 119-121, 125. DOI: 10.7619/jcmp.201915033

气管切开术后下呼吸道感染风险因素识别对提升护理质量的作用

Effect of risk factors identification of lower respiratory tract infection after tracheotomy on improving nursing quality

  • 摘要:
      目的  探讨气管切开术后下呼吸道感染风险的识别对提高护理质量的作用。
      方法  选取本院行气管切开术后的患者168例为研究对象,所有患者均接受气管切开术。调查下呼吸道感染相关因素并检查菌群分布情况。
      结果  多因素分析结果表明,既往病史、意识状态、手术史、抗生素使用时间10~20 d、气管切开辅助通气时间>7 d均为气管切开术后下呼吸道感染的危险因素。行气管切开术后第9天细菌感染患者比例(86.31%)最高,其次为第14天(78.57%)、第4天(42.86%)、第1天(5.96%), 差异有统计学有意义(P < 0.05)。行气管切开术后,细菌主要分布于下呼吸道分泌物部位,口腔、医护人员手部、呼吸机湿化瓶等部位细菌所占比例较低。下呼吸道分泌物中共有30种细菌,其中占比较高的前10位细菌感染率与其他细菌感染率比较有显著差异(P < 0.05)。
      结论  科学的统计方法与微生检测能够有效识别气管切开术后下呼吸道感染的风险因素,针对性护理措施可提高护理质量。

     

    Abstract:
      Objective  To explore the role of risk factors identification of lower respiratory tract infection after tracheotomy and its impact on improving nursing quality.
      Methods  A total of 168 patients who underwent tracheotomy in our hospital were selected as study subjects, related factors of lower respiratory tract infection were investigated and bacterial flora examination after tracheotomy was performed.
      Results  Multivariate analysis showed that the risk factors of lower respiratory tract infection after tracheotomy were past medical history, state of consciousness, operation history, antibiotic use time of 10 to 20 d and assisted ventilation time of tracheotomy >7 d. The incidence of bacterial infection after tracheotomy was the highest on the 9th day (86.31%), followed by the 14th day (78.57%), the 4th day (42.86%) and the 1st day (5.96%), which showed significant differences at different time points (P < 0.05). After tracheotomy, bacteria mainly distributed in the lower respiratory tract secretion, and less distributed in other parts such as mouth, hands of medical staff and humidifying bottle of ventilator. There were 30 kinds of bacteria in the lower respiratory secretions, and the incidence of the top 10 bacterial infections showed significant difference compared to other bacterial infection rates (P < 0.05).
      Conclusion  Scientific statistical methods and microbiological detection can effectively identify the risk factors of lower respiratory tract infection after tracheotomy, and appropriate measures can promote nursing quality.

     

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