Risk factors of ventilator-associated pneumonia in patients with severe craniocerebral injury and ;nursing interventive countermeasures
10.3760/cma.j.issn.1672-7088.2017.03.006
- VernacularTitle:重型颅脑损伤患者术后发生呼吸机相关性肺炎的影响因素分析
- Author:
Chuanyan ZHENG
;
Xia LI
;
Jing MA
;
Qian YANG
;
Zheng WU
- Keywords:
Nursing care;
Severe craniocerebral injury;
Ventilator associated pneumonia;
Evidence-based nursing;
Risk factors
- From:
Chinese Journal of Practical Nursing
2017;33(3):183-187
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore independent risk factors of ventilator associated pneumonia (VAP) on severe craniocerebral injury patients, and propose nursing intervention measures to reduce occurrence of VAP. Methods A retrospective analysis was conducted on 73 severe craniocerebral injury patients with VAP postoperatively from January 2013 to June 2015, and 80 severe craniocerebral injury patients underwent mechanical ventilation without VAP postoperatively at the same time were selected as the control group. Through literature review, questionnaire was designed to collect potential impact factors of VAP in both two groups, the single factor analysis and Logistic regression analysis were applied to explore the VAP independent risk factors, and nursing intervention countermeasures were proposed to improve VAP clinical prevention. Results VAP incidence rate of severe craniocerebral injury patients postoperatively was 23.0%(73/317) , from which 81 strains were detected, the first three strains of strain spectrum were Klebsiella pneumonia (21.0% ), Bauman Acinetobacter (17.3% ) and pseudomonas aeruginosa bacteria (14.8% ). Single factor analysis showed there were significant differences on composition of two groups in age, preoperative Glasgow Coma Scale (GCS) score, operation times, artificial airway type, postoperative mechanical ventilation time, daily airway humidification frequency, daily sputum suction frequency compound injury, daily oral care times (χ2=1.809-11.936, P < 0.01 or 0.05). Logistic regression models showed duration of mechanical ventilation (OR≥7d=3.013; OR≥14d=3.695), secondary surgery (OR =3.111) , preoperative GCS score (OR =2.989), daily airway humidification frequence (OR =2.280), age (OR=2.237) had remarkable influence on occurrence of postoperative VAP (P<0.01 or 0.05). Conclusions The incidence rate of VAP in severe craniocerebral injury patients is higher, age, mechanical ventilation duration, preoperative GCS score, airway humidification degree, second surgery are the independent risk factors of VAP.
