Copyright
©The Author(s) 2023.
World J Gastrointest Surg. Mar 27, 2023; 15(3): 387-397
Published online Mar 27, 2023. doi: 10.4240/wjgs.v15.i3.387
Published online Mar 27, 2023. doi: 10.4240/wjgs.v15.i3.387
Figure 1 The nomogram to construct a predictive model of abdominal surgical site infection.
PCT: Procalcitonin; LDL: Lipoprotein cholesterol; NNIS: National Nosocomial Infections Surveillance.
Figure 2 The receiver operating characteristic curve of prediction model compared with National Nosocomial Infections Surveillance risk index in the validation cohort.
AUROC: Area under the receiver operating characteristic curve; NNIS: National Nosocomial Infections Surveillance.
Figure 3 Surgical site infection scores by the incidence.
SSI: Surgical site infection.
- Citation: Zhang J, Xue F, Liu SD, Liu D, Wu YH, Zhao D, Liu ZM, Ma WX, Han RL, Shan L, Duan XL. Risk factors and prediction model for inpatient surgical site infection after elective abdominal surgery. World J Gastrointest Surg 2023; 15(3): 387-397
- URL: https://www.wjgnet.com/1948-9366/full/v15/i3/387.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v15.i3.387