Volume 21 Issue 6
Jun.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(6): 1053-1055
ZHANG Xiangjun, ZHU Jingrui, WANG Li, LI Jing. Research on the monitoring of pathogens and the prediction model of risk factors for hospital-acquired pneumonia in intensive care unit[J]. Chinese Journal of General Practice, 2023, 21(6): 1053-1055. doi: 10.16766/j.cnki.issn.1674-4152.003047
Citation: ZHANG Xiangjun, ZHU Jingrui, WANG Li, LI Jing. Research on the monitoring of pathogens and the prediction model of risk factors for hospital-acquired pneumonia in intensive care unit[J]. Chinese Journal of General Practice, 2023, 21(6): 1053-1055. doi: 10.16766/j.cnki.issn.1674-4152.003047
shu

Research on the monitoring of pathogens and the prediction model of risk factors for hospital-acquired pneumonia in intensive care unit

doi: 10.16766/j.cnki.issn.1674-4152.003047
  • 1.

    Department of Infectious Disease Control, the First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China

Funds:

 KJ2018A1001

 BYKY2019198skZD

  • Received Date: 2022-11-15
    Available Online: 2023-08-26
    Abstract
  •   Objective  To study the risk factors of hospital-acquired pneumonia (HAP) in intensive care unit (ICU) and the composition of HAP pathogens. To construct and evaluate the risk prediction model of HAP, so as to facilitate the screening of risk population and prevent and control the occurrence of HAP.  Methods  Data of hospitalized patients in the comprehensive ICU of a general hospital from January 2020 to March 2021 were collected, and pathogenic bacteria were isolated and monitored. Logistic regression analysis was used to construct the risk factor prediction model and evaluate it.  Results  A total of 570 cases were included in this study, including 34 cases of HAP. The pathogens isolated from sputum specimens of HAP patients were mainly gram-negative bacteria. Multivariate analysis showed that malnutrition, invasive operation, length of stay in ICU>10 days and chronic pulmonary disease were independent risk factors for HAP (P < 0.05). Regression model was established: logit (P)=-7.870+2.496×alnutrition+2.173×nvasive operation+1.440×ength of stay in ICU>10 days+1.054×hronic pulmonary disease. Hosmer and Lemeshow goodness-of-fit test: χ2=3.022, P=0.933. The area under the ROC curve was 0.895, 95% CI was 0.847-0.943.  Conclusion  The bacteria isolated from HAP sputum specimens are mainly gram-negative bacteria. Malnutrition, invasive operation, length of stay in ICU>10 days and chronic pulmonary disease are independent risk factors for HAP in ICU patients. The risk factor prediction model constructed by logistic regression analysis can achieve better prediction effect.

     

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