• Zhonghua Liu Xing Bing Xue Za Zhi · Aug 2016

    [Prospective evaluation on ventilator-associated events: a cohort study from eight intensive care units].

    • W S Chen, J Liu, H Liu, Y Y Song, H Y Chen, R Wang, Y P Zhang, W Jiang, H F Li, S Q Li, S M Zhang, B Liu, X Zhang, and W H Zhang.
    • The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
    • Zhonghua Liu Xing Bing Xue Za Zhi. 2016 Aug 10; 37 (8): 1148-51.

    ObjectiveThe aim of this study was to prospectively investigate the incidence of ventilator associated events (VAEs) in intensive care units (ICUs) among adult patients, and to evaluate the correlation between VAEs and ventilator associated pneumonia (VAP).MethodsA prospective 3-month cohort study (January 2015 to March 2015) was carried out. VAEs were divided into three groups: with ventilator-associated condition (VAC), with infection related ventilator-associated complication (IVAC) and with possible VAP (PVAP). Sensitivity and specificity of VAEs were evaluated and compared to the traditional VAP. Kappa test was applied to judge the consistency of VAC and VAP.ResultsDuring Jan. 2015 and Mar. 2015, 1 014 patients were admitted to 8 ICUs, with 7 977 patients per day. In total, 197 patients used the mechanical ventilation installation, with, a total number of 3 152 ventilator-days. Finally, 1 214 ventilation days in the VAC group and 1 938 ventilation days in the non-VAC group) that were available for final analysis. 46 VAC cases were identified including 22 classified as IVAC (14.59 and 6.98 per 1 000 ventilation days, respectively). Length of ICU stay and duration on mechanical ventilation for VAC patients were both significantly longer than those for non-VAC patients (P<0.05). Sensitivity and specificity of the VAC criteria for the detection of VAP were 36.92% and 83.33%, respectively.ConclusionThe VAEs surveillance paradigms could be applied to monitor patients on the use of mechanical ventilation installation. However, sensitivity and specificity of VAC were under pool for the diagnosis of VAP. However, automatically surveillance programs was relied on the improvement of auto-information systems.

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