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Published online: 2023-10-17

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Using the National Nosocomial Infections Surveillance risk index to determine risk factors associated with surgical site infections following gynecologic surgeries

Dong Wang12, Jinlin Wu12, Jianjun Deng342, Ming Luo12, Jie Ruan52, Zhan Yang12

Abstract

Objectives: We used the National Nosocomial Infections Surveillance (NNIS) risk index to determine risk factors associated with surgical site infections (SSIs) following gynecologic surgeries. Material and methods: A retrospective study was conducted based on the medical records of 185 patients with SSIs, following gynecologic surgeries at a Grade A tertiary gynecologic and obstetric hospital in southwest China during September 2013–June 2021.  Results: Suspected risk factors associated with SSIs were: length of hospital stay, age, whether the patient had cancer, whether the patient had chemotherapy or high-dose antibiotic therapy before surgery, duration of surgery, amount of blood loss, and whether a blood transfusion was done. It was found that SSIs were more likely to occur in cancer patients with an NNIS risk index score of 1 and in patients with preoperative chemotherapy and an NNIS risk index score of 2. Among the patients with an NNIS risk index score of 2, the older the patient, the higher incidence of SSIs. Conclusions: Gynecologic surgery teams should pay more attention to the independent risk factors associated with SSIs determined by the NNIS risk index score to prevent SSIs following gynecologic surgeries, thus ensuring patient safety.

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References

  1. Ye H, Zong Z, LV X. Centers for disease control and prevention guideline for the prevention of surgical site infection, 2017: an interpretation. Chinese Journal of Evidence-Based Medicine. 2017; 17(7): 745–750.
  2. Chen L, Liu P, Zhang H, et al. Experts’ consensus of the prevention and control of surgical site infections following gynecological surgeries. Beijing Medical Journal. 2020; 42(12): 1223–1230.
  3. Davidson C, Enns J, Bennett C, et al. Reducing abdominal hysterectomy surgical site infections: A multidisciplinary quality initiative. Am J Infect Control. 2020; 48(11): 1292–1297.
  4. Wan A, Han L, Zhou H, et al. Correlation between BMI, hemoglobin level, T lymphocyte CD4+/CD8+ and postoperative infection in department of obstetrics and gynecology. Chin J Nosocomiol. 2019; 29(17): 2691–2695.
  5. Gu J, Zhao S, Tang Y, et al. Related factors and prevention of obstetrics and gynecology postoperative infections. Chin J Nosocomiol. 2016; 26(16): 3822–3823, and 3834.
  6. Diagnostic criteria for nosocomial infections (proposed). Natl Med J China. 2001; 81(5): 314–320.
  7. Deng Y. The hospital statistics and the grades of healing of incision. Chinese Medical Record. 2004; 5(9): 39–40.
  8. Gong Y, Wang Q, Guo F, et al. Progress in the application of NNIS in predicting incision infection in foreign countries and its enlightenment for China. The Journal of Practical Medicine. 2015; 31(15): 2420–2422.
  9. Fan R, Wan X. Analysis of application of National Nosocomial Infections Surveillance. China Health Human Resources. 2020; 8: 36–38.
  10. He W, Zhang Y, Huang X, et al. Evaluation of the effect of NNIS risk index on surgical site infections. Chin J Nosocomiol. 2017; 27(8): 1832–1836.
  11. Ercole FF, Chianca TC, Duarte D, et al. Surgical site infection in patients submitted to orthopedic surgery: the NNIS risk index and risk prediction. Rev Lat Am Enfermagem. 2011; 19(2): 269–276.
  12. Biscione FM, Couto RC, Pedrosa TMG. Performance, revision, and extension of the National Nosocomial Infections Surveillance system's risk index in Brazilian hospitals. Infect Control Hosp Epidemiol. 2012; 33(2): 124–134.
  13. Wang X, Zhang X, Lai X. Exploring an optimal risk adjustment model for public reporting of cesarean section surgical site infections. J Infect Public Health. 2018; 11(6): 821–825.