Volume 13 Issue 4
Jul.  2022
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Luo Wenting, Cao Li, Lyu Dezhen, et al. Predictive value of nomogram model based on PNI, SII and CAR for abdominal infection after liver transplantation[J]. ORGAN TRANSPLANTATION, 2022, 13(4): 503-508. doi: 10.3969/j.issn.1674-7445.2022.04.014
Citation: Luo Wenting, Cao Li, Lyu Dezhen, et al. Predictive value of nomogram model based on PNI, SII and CAR for abdominal infection after liver transplantation[J]. ORGAN TRANSPLANTATION, 2022, 13(4): 503-508. doi: 10.3969/j.issn.1674-7445.2022.04.014
shu

Predictive value of nomogram model based on PNI, SII and CAR for abdominal infection after liver transplantation

doi: 10.3969/j.issn.1674-7445.2022.04.014

  • Department of Anesthesiology, Qinhuai Medical District, General Hospital of Eastern Theater of Chinese People's Liberation Army, Nanjing 210000, China

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  • Corresponding author: Lyu Dezhen, Email: lvdezhentg@163.com
  • Received Date: 2022-02-28
    Available Online: 2022-07-14
  • Publish Date: 2022-07-15
    Abstract
  •   Objective  To investigate the risk factors of abdominal infection after orthotopic liver transplantation.  Methods  Clinical data of 284 recipients undergoing orthotopic liver transplantation were retrospectively analyzed. All recipients were divided into the infection group (n=51) and non-infection group (n=233) according to the incidence of postoperative abdominal infection. Univariate and multivariate logistic regression analyses were used to identify the risk factors of abdominal infection. Nomogram prediction models were constructed and the prediction efficiency of these models was evaluated. The predictive value of continuous variables for abdominal infection was assessed.  Results  Among 284 recipients, 51 developed abdominal infection with an incidence of 18.0%. Diabetes mellitus before surgery[odds ratio (OR) 2.66, 95% confidence interval (CI) 1.13-6.14, P=0.013], long operation time (OR 1.98, 95%CI 1.03-3.57, P=0.038), low prognostic nutritional index (PNI) (OR 2.18, 95%CI 1.06-4.44, P=0.023), high systemic immune-inflammation index (SII) (OR 2.21, 95%CI 1.06-4.78, P=0.012) and high C-reactive protein/albumin ratio (CAR) (OR 1.90, 95%CI 1.05-3.49, P=0.029) were independent risk factors for abdominal infection after liver transplantation. The area under curve (AUC) of nomogram model for predicting abdominal infection after liver transplantation was 0.761. The standard model yielded high consistency. CAR, PNI and SII were all predictors of abdominal infection after liver transplantation (all P < 0.05), with AUC of 0.648, 0.611 and 0.648, and cut-off values of 2.75, 43.15 and 564.50, respectively.  Conclusions  CAR, SII and PNI are predictors of abdominal infection after liver transplantation. The nomogram model based on PNI, SII and CAR may effectively predict the incidence of abdominal infection after liver transplantation.

     

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