The Targeted Surveillance of Newly-defined Ventilator-associated Pneumonia_West China Medical Journal

Authors：

 ZhuShichao ¹ , ZongZhiyong ^1,2 , QiaoFu ¹ , ZhangHui ¹ , LiJingwen ¹ , CaiLin ³ , YinWeijia ¹

1. Department of Nosocomial Infection Management;West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Center of Infectious Diseases;West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
3. Intensive Care Unit;West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding?author：

YinWeijia, Email:

Keywords：

Nosocomial infection; Intensive care unit; Targeted surveillance; Ventilator-associated pneumonia; Prognosis

DOI：

10.7507/1002-0179.201600114

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Objective To carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. Methods Targeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. Results A total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). Conclusion The applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.

Citation： ZhuShichao, ZongZhiyong, QiaoFu, ZhangHui, LiJingwen, CaiLin, YinWeijia. The Targeted Surveillance of Newly-defined Ventilator-associated Pneumonia. West China Medical Journal, 2016, 31(3): 418-421. doi: 10.7507/1002-0179.201600114 Copy

1.	王醒, 程璐, 陳明祺, 等. 呼吸機相關性肺炎防治進展[J]. 現代醫學, 2013, 41(8):581-584.
2.	李蓓, 黎檀實. 呼吸機相關肺炎診斷標準的探討[J]. 臨床急診雜志, 2014, 15(5):306-308.
3.	呂宇, 劉華, 王慧, 等. 神經外科重癥監護病房醫院感染目標性監測分析[J]. 華西醫學, 2014, 29(10):1908-1911.
4.	毛彥華, 劉錦銘. 呼吸機相關性肺炎危險因素研究[J]. 中華醫院感染學雜志, 2011, 21(12):2438-2440.
5.	向麗佳, 宋曉英, 鄭曉紅, 等. 綜合重癥監護病房醫院感染目標性監測分析[J]. 華西醫學, 2014, 29(3):432-435.
6.	Dudeck MA, Horan TC, Peterson KD, et al. National Healthcare Safety Network (NHSN) report, data summary for 2011, device-associated module[J]. Am J Infect Control, 2013, 41(4):286-300.
7.	Ashraf M, Ostrosky-Zeichner L. Ventilator-associated pneumonia:a review[J]. Hosp Pract (1995), 2012, 40(1):93-105.
8.	Joseph NM, Sistla S, Dutta TK, et al. Ventilator-associated pneumonia:a review[J]. Eur J Intern Med, 2010, 21(5):360-368.
9.	National Healthcare Safety Network. Ventilator-associated pneumonia (VAP) event[EB/OL]. CDC/NHSN Protocol Clarifications, (2013-07)[2016-01]. http://www.cdc.gov/nhsn/PDFs/pscManual/6pscVAPcurrent.pdf.
10.	余威英, 徐小娟, 魏凌云, 等. 呼吸機相關性肺炎感染的危險因素分析[J]. 中華醫院感染學雜志, 2014, 24(1):112-113, 127.
11.	陳仁輝, 陶福正, 陳英姿, 等. 呼吸機相關性肺炎的危險因素與病原菌分析[J]. 中華醫院感染學雜志, 2014, 24(24):6042-6044.
12.	管軍, 楊興易, 趙良. 綜合性ICU中呼吸機相關性肺炎危險因素多元逐步Logistic回歸分析[J]. 第二軍醫大學學報, 2003, 24(7):780-783.
13.	童忠滿. 呼吸機相關肺炎早期診斷及預后相關研究進展[J]. 醫學綜述, 2012, 18(1):82-85.
14.	婁偉, 魏碧蓉, 謝偉芬. 呼吸機相關性肺炎影響因素的logistic回歸分析及預防[J]. 贛南醫學院學報, 2014, 34(1):47-50.
15.	黃紅鈴, 陳永元, 肖莎. 呼吸機相關性肺炎發生率及危險因素分析[J]. 中華醫院感染學雜志, 2014, 24(17):4240-4242.
16.	賈隨明. 呼吸機相關性肺炎的危險因素分析及防控[J]. 醫學理論與實踐, 2015, 28(2):149-150.
17.	和瑞蓮, 張國際. 呼吸機相關性肺炎的危險因素及病原學分析[J]. 中國社區醫師, 2014, 30(10):26, 28.

1. 王醒, 程璐, 陳明祺, 等. 呼吸機相關性肺炎防治進展[J]. 現代醫學, 2013, 41(8):581-584.
2. 李蓓, 黎檀實. 呼吸機相關肺炎診斷標準的探討[J]. 臨床急診雜志, 2014, 15(5):306-308.
3. 呂宇, 劉華, 王慧, 等. 神經外科重癥監護病房醫院感染目標性監測分析[J]. 華西醫學, 2014, 29(10):1908-1911.
4. 毛彥華, 劉錦銘. 呼吸機相關性肺炎危險因素研究[J]. 中華醫院感染學雜志, 2011, 21(12):2438-2440.
5. 向麗佳, 宋曉英, 鄭曉紅, 等. 綜合重癥監護病房醫院感染目標性監測分析[J]. 華西醫學, 2014, 29(3):432-435.
6. Dudeck MA, Horan TC, Peterson KD, et al. National Healthcare Safety Network (NHSN) report, data summary for 2011, device-associated module[J]. Am J Infect Control, 2013, 41(4):286-300.
7. Ashraf M, Ostrosky-Zeichner L. Ventilator-associated pneumonia:a review[J]. Hosp Pract (1995), 2012, 40(1):93-105.
8. Joseph NM, Sistla S, Dutta TK, et al. Ventilator-associated pneumonia:a review[J]. Eur J Intern Med, 2010, 21(5):360-368.
9. National Healthcare Safety Network. Ventilator-associated pneumonia (VAP) event[EB/OL]. CDC/NHSN Protocol Clarifications, (2013-07)[2016-01]. http://www.cdc.gov/nhsn/PDFs/pscManual/6pscVAPcurrent.pdf.
10. 余威英, 徐小娟, 魏凌云, 等. 呼吸機相關性肺炎感染的危險因素分析[J]. 中華醫院感染學雜志, 2014, 24(1):112-113, 127.
11. 陳仁輝, 陶福正, 陳英姿, 等. 呼吸機相關性肺炎的危險因素與病原菌分析[J]. 中華醫院感染學雜志, 2014, 24(24):6042-6044.
12. 管軍, 楊興易, 趙良. 綜合性ICU中呼吸機相關性肺炎危險因素多元逐步Logistic回歸分析[J]. 第二軍醫大學學報, 2003, 24(7):780-783.
13. 童忠滿. 呼吸機相關肺炎早期診斷及預后相關研究進展[J]. 醫學綜述, 2012, 18(1):82-85.
14. 婁偉, 魏碧蓉, 謝偉芬. 呼吸機相關性肺炎影響因素的logistic回歸分析及預防[J]. 贛南醫學院學報, 2014, 34(1):47-50.
15. 黃紅鈴, 陳永元, 肖莎. 呼吸機相關性肺炎發生率及危險因素分析[J]. 中華醫院感染學雜志, 2014, 24(17):4240-4242.
16. 賈隨明. 呼吸機相關性肺炎的危險因素分析及防控[J]. 醫學理論與實踐, 2015, 28(2):149-150.
17. 和瑞蓮, 張國際. 呼吸機相關性肺炎的危險因素及病原學分析[J]. 中國社區醫師, 2014, 30(10):26, 28.

West China Medical Journal

The Targeted Surveillance of Newly-defined Ventilator-associated Pneumonia

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