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Predicting carbapenem-resistant Enterobacteriaceae infections in pediatric liver transplant recipients

  • Open Access
  • 09.09.2025
  • Original Article
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Abstract

Background

Carbapenem-resistant Enterobacteriaceae (CRE) infections can pose a significant risk following pediatric liver transplantations. This study aimed to identify risk factors for CRE infections and develop prediction models for pediatric recipients.

Methods

This study enrolled pediatric patients who underwent liver transplantation between 2017 and 2023. Risk factors for CRE infection were identified using logistic regression analysis. Prediction models were constructed using a training cohort and validated using internal and external validation cohorts. Predictive performance was assessed using receiver operating characteristic curves and area under the curve (AUC).

Results

CRE intestinal colonization before liver transplantation, bile or intestinal leakage and respiratory ribonucleic acid virus infections were independent risk factors for CRE infection after pediatric liver transplantation. Our prediction model comprising all three factors achieved AUC values of 0.724 and 0.738 in the training and internal validation cohorts, respectively. The AUC of an additional model constructed using CRE intestinal colonization and bile or intestinal leakage achieved 0.738 and 0.828 in the internal and external validation cohorts, respectively. Two nomograms were constructed.

Conclusions

Both nomograms accurately predicted CRE infection after liver transplantation. They can facilitate the adoption of essential protective measures in pediatric liver transplant recipients.

Graphical Abstract

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Introduction

Carbapenem-resistant Enterobacteriaceae (CRE) infections have emerged as a global threat in recent years and are associated with high mortality, limited treatments and significant healthcare costs [1, 2]. Patients who have undergone solid organ transplantation are susceptible to CRE infections [3]. Complications following liver transplantation make those patients more susceptible to developing bacterial infections than those who have undergone other organ transplantation [4].
Previous studies have identified a number of risk factors associated with CRE infection in liver transplant patients. These include CRE colonization, acute renal injury, surgical reintervention, rejection and prolonged mechanical ventilation [57]. Indeed, Giannella et al. described a predictive model for CRE infections with an acceptable efficacy [5]. Collectively, the above findings have aided the formulation prevention strategies for CRE. These include the implementation of strict infection control [8]. However, these studies primarily focused on adult liver transplantation and lacked pediatric applicability.
Pediatric liver transplant recipients often have diverse underlying conditions and may present with a history of prior surgical procedures, such as Kasai portoenterostomy [9]. In addition, the developing pediatric immune system lacks maturity creating dosing challenges for a range of medications in transplant recipients [10]. In this context the epidemiology of bacterial infections and resistance to treatment differ in pediatric compared to adult populations [11]. Whilst the past decades have witnessed significant advances in pediatric liver transplantation, there is an increasing need to focus on the occurrence of severe CRE infections post transplantation. Moreover, whilst a previous study has described the causative pathogens for bloodstream and intra-abdominal infections [12], data on CRE are limited. In particular the impact of CRE infections on pediatric liver transplantation remains unclear.
The present multicentre analysis aimed to construct a prediction model for CRE infections after liver transplantation in pediatric recipients. The model will help identify pediatric recipients with a high risk of postoperative CRE infection, thereby aiding development of clinically relevant preventive strategies.

Methods

Study design

The present study complied with the Declaration of Helsinki and was approved by the Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine (FAHZU, IIT20240071A). All organs were donated voluntarily with written informed consent. Medical records of pediatric patients (< 12 years) who underwent liver transplantation between January 2020 and June 2023 in FAHZU (center 1) and those of patients who presented to Tianjin First Central Hospital (center 2) between August 2017 and August 2018 were reviewed retrospectively. Pediatric patients without rectal microbiological cultures before transplantation were excluded. Data for each recipient was included only once, and for patients with two transplantations in the study period, the data from the second transplantation was analyzed.
Baseline data included age (months), weight, gender, primary disease (transplant indications), pediatric end-stage liver disease scores, pre-transplant CRE colonization, pre-transplant intensive care unit (ICU) stay and operative parameters. In addition, post-transplant complications, CRE infection status and clinical outcomes were recorded. Respiratory ribonucleic acid (RNA) virus infection data in transplant recipients was also collected. Respiratory RNA virus infections that occurred before CRE infections were confirmed through nasopharyngeal swabs or secretions from tracheal intubation using polymerase chain reaction (PCR) or high-throughput (next generation) sequencing. The viral spectrum identified by PCR comprised influenza A and B, parainfluenza (I–III), respiratory syncytial viruses and severe acute respiratory syndrome coronavirus.

Definition of CRE colonization and CRE infection

According to guidelines provided by the Centers for Disease Control and Prevention, CRE are identified as those Enterobacteriaceae non-susceptible to imipenem, meropenem, doripenem or ertapenem, or those strains that have been documented to possess a carbapenemase [13]. Rectal swabs were used to detect intestinal CRE colonization before liver transplantation. CRE colonization was identified according to the guidelines of the 31st edition of the Clinical and Laboratory Standards Institute Performance Standards for Antimicrobial Susceptibility Testing, M100 [14]. Specifically, a minimum inhibitory concentration of imipenem, meropenem or doripenem ≥ 4 mg/L or ertapenem ≥ 2 mg/L was used to confirm CRE. Laboratory detection of CRE along with the appearance of infection symptoms were confirmation of infection. Infections that occurred within 90 days post-transplant were identified as postoperative CRE infections.

Definition of acute graft rejection

Elevated serum transaminase indicated the possibility of acute rejection. Subsequently, experienced pathologists confirmed acute rejection based on the Banff rejection activity index (RAI) [15]; an RAI ≥ 3 identified acute rejection.

Statistical analysis

Categorical variables were presented using frequencies and percentages and were compared using the Chi-squared or Fisher’s exact tests. Continuous variables were summarized as means or medians as appropriate. Mann–Whitney U test was used to compare continuous variables. Logistic regression analyses were utilized to identify independent risk factors associated with CRE infections after liver transplantation. Factors with P values < 0.01 chosen after univariate analysis were included in subsequent multivariate analysis. Nomograms were constructed based on identified independent factors. Performance of the prediction models were evaluated using receiver operating characteristic curves (ROC) and area under the ROC curve (AUC). All statistical analyses were performed using R 4.1.2, SPSS v26.0 (IBM, Armonk, NY) and Prism 8.0 (GraphPad Soft Inc., San Diego, CA) software programs. A two-sided P value < 0.05 was considered statistically significant.

Results

Demographic and baseline patient characteristics

Data from 778 pediatric patients who underwent liver transplantation between August 2017 and June 2023 was included in this study. Six hundred and twenty-six pediatric patients who presented to FAHZU during the study period were randomly divided into training and internal validation cohorts at a ratio of 7:3, adhering to established machine learning conventions and domain-specific standards (n = 438 and 188, respectively; Fig. 1). This sample size satisfies the 10 events per variable principle, ensuring adequate statistical power for model development [16]. In addition, 152 pediatric patients from the Tianjin First Central Hospital were included as an external validation cohort. More pediatric patients were female and had CRE intestinal colonization in the external validation cohort than those in the training cohort (P = 0.001 and P < 0.001, Table 1). Patients in the external validation cohort exhibited higher PLED scores (P = 0.006). In the training cohort, fifty (11.4%) patients presented with CRE infections after transplantation; the remaining 388 (88.6%) patients were not infected. The number of patients with CRE infections was 23 (12.2%) and 13 (8.6%) in the internal and external validation cohorts, respectively (P = 0.524), demonstrating comparability between cohorts. The majority of baseline characteristics in patients with CRE infections were similar to those not infected (Table 2). However, bile or intestinal leakage, respiratory RNA virus infection and CRE intestinal colonization were observed more frequently in pediatric recipients with CRE infections than those not infected (P < 0.001, P = 0.005, and P < 0.001, respectively). Cefoperazone-sulbactam serves as the first-line agent for perioperative antibiotic prophylaxis, with meropenem used rarely where cefoperazone-sulbactam allergy is confirmed. This selection aligns with established clinical recommendations from prior evidence-based studies [17, 18].
Fig. 1
Pediatric liver transplantation study flowchart. CRE Carbapenem-resistant Enterobacteriaceae
Bild vergrößern
Table 1
Patient characteristics in the training, internal validation and external validation cohorts
Variables
Training (n = 438)
Internal validation (n = 188)
External validation (n = 152)
P
Age (mon), median (IQR)
7.4 (3.3–145.2)
6.6 (3.5–143.0)
7.0 (4.0–140.0)
0.103
Weight (kg), median (IQR)
7.1 (3.5–40.0)
7.0 (4.5–42.5)
6.5 (4.5–55.0)
0.217
Male, n (%)
261 (59.6)
98 (52.1)
65 (42.8)
0.001
Biliary atresia, n (%)
371 (84.7)
161 (85.6)
138 (90.8)
0.170
Re-transplantation, n (%)
17 (3.9)
3 (1.6)
2 (1.3)
0.131
PELD scores, mean ± SD
13 ± 11
13 ± 10
16 ± 11
0.006
Kasai before LT, n (%)
258 (58.9)
104 (55.3)
73 (48.0)
0.066
ICU stay before LT, n (%)
33 (7.5)
15 (8.0)
7 (4.6)
0.410
Living donors, n (%)
304 (70.0)
128 (68.1)
111 (73.0)
0.611
Operative time (min), mean ± SD
363.7 ± 64.3
362.0 ± 69.8
478.0 ± 83.6
 < 0.001
RBC transfusion (U/kg)
0.38 (0–4.29)
0.42 (0–1.80)
0.33 (0–1.14)
0.006
Choledochojejunostomy, n (%)
418 (95.4)
181 (96.3)
147 (96.7)
0.755
Bile or intestinal leakage, n (%)
30 (6.8)
11 (5.9)
9 (5.9)
0.861
CRE rectal colonization, n (%)
45 (10.3)
18 (9.6)
44 (28.9)
 < 0.001
CRE infection, n (%)
50 (11.4)
23 (12.2)
13 (8.6)
0.524
PELD pediatric end-stage liver disease, LT liver transplantation, ICU intensive care unit, RBC red blood cell, CRE carbapenem-resistant Enterobacteriaceae, IQR interquartile range, SD standard deviation
Table 2
Demographic and baseline characteristics of patients in the training cohort
Variables
CRE infection (n = 50)
Non-CRE infection (n = 388)
P
Age (mon), median (IQR)
7.6 (3.5–26.2)
7.4 (3.3–145.2)
0.032
Weight (kg), median (IQR)
7.0 (4.0–11.9)
7.1 (3.5–40.0)
0.035
Male, n (%)
32 (64.0)
229 (59.0)
0.499
Indications, n (%)
  
0.854
 Biliary atresia
45 (90.0)
326 (84.0)
 
 Other chronic cholestatic diseases
1 (2.0)
18 (4.6)
 
 Inherited metabolic liver diseases
2 (4.0)
27 (7.0)
 
 Others
2 (4.0)
17 (4.4)
 
Re-transplantation, n (%)
4 (8.0)
13 (3.4)
0.117
PELD scores, mean ± SD
13.7 ± 13.1
13.0 ± 10.6
0.678
Kasai before LT, n (%)
33 (66.0)
225 (58.0)
0.279
ICU stay before LT, n (%)
5 (10.0)
28 (7.2)
0.566
CRE rectal colonization, n (%)
16 (32.0)
29 (7.5)
 < 0.001
Living donors, n (%)
33 (67.3)
271 (70.4)
0.661
ABOi, n (%)
9 (18.0)
70 (18.0)
0.994
Cold ischemia time (min)
80 (41–712)
78 (12–843)
0.665
RBC transfusion (U/kg)
0.43 (0.09–2.50)
0.37 (0–4.29)
0.007
Plasma transfusion (mL/kg)
42.2 (8.6–310.0)
31.7 (0–298.2)
0.052
Choledochojejunostomy, n (%)
50 (100.0)
368 (94.8)
0.149
Bile or intestinal leakage, n (%)
14 (28.0)
16 (4.1)
 < 0.001
Respiratory RNA virus infection, n (%)
13 (26.0)
45 (11.6)
0.005
PELD pediatric end-stage liver disease, LT liver transplantation, ICU intensive care unit, ABOi ABO-incompatibility, RBC red blood cell, RNA ribonucleic acid, CRE carbapenem-resistant Enterobacteriaceae, IQR interquartile range, SD standard deviation

Risk factors for CRE infections in pediatric liver transplant recipients

Univariate logistic regression analysis revealed potential risk factors. These included age, weight, CRE rectal colonization before liver transplantation, red blood cell transfusion, plasma transfusion, bile or intestinal leakage and respiratory RNA virus infection (P = 0.057, P = 0.041, P < 0.001, P = 0.021, P = 0.058, P < 0.001 and P = 0.006, respectively; Table 3). Furthermore, multivariate analysis identified CRE intestinal colonization before liver transplantation [odds ratio (OR) = 4.208, 95% confidence interval (CI) = 1.940–9.129; P < 0.001], bile or intestinal leakage (OR = 9.226; 95% CI = 3.774–22.556; P < 0.001) and respiratory RNA virus infection (OR = 2.205, 95% CI = 1.005–4.840; P = 0.049) as independent risk factors associated with post-transplant CRE infections. In addition, variance inflation factors (VIF) confirmed the absence of multicollinearity between clinically correlated variables: specifically, VIF = 1 for both the age-body weight pair and red blood cell-plasma transfusion pair.
Table 3
Univariate and multivariate logistic regression analyses of independent factors for CRE infections after liver transplantations
Variables
Univariate
Multivariate
OR (95% CI)
P
OR (95% CI)
P
Age
0.968 (0.935–1.001)
0.057
0.951 (0.886–1.021)
0.163
Weight
0.884 (0.786–0.995)
0.041
1.092 (0.836–1.426)
0.519
Male
1.234 (0.669–2.276)
0.500
  
Biliary atresia
1.712 (0.653–4.484)
0.274
  
Re-transplantation
2.598 (0.785–8.015)
0.121
  
PELD scores
1.006 (0.979–1.033)
0.677
  
Kasai before LT
1.406 (0.757–2.611)
0.280
  
ICU stay before LT
1.429 (0.525–3.886)
0.485
  
CRE intestinal colonization before LT
5.826 (2.880–11.783)
 < 0.001
4.208 (1.940–9.129)
 < 0.001
Living donors
0.868 (0.459–1.639)
0.662
  
ABOi
0.997 (0.463–2.146)
0.994
  
Cold ischemia time
1.000 (0.999–1.002)
0.664
  
RBC transfusion
2.333 (1.133–4.802)
0.021
2.003 (0.856–4.687)
0.109
Plasma transfusion
1.006 (1.000–1.012)
0.058
1.000 (0.992–1.008)
0.963
Choledochojejunostomy
NA (0–NA)
0.998
  
Bile or intestinal leakage before CRE infection
9.042 (4.084–20.016)
 < 0.001
9.226 (3.774–22.556)
 < 0.001
Respiratory RNA virus infection before CRE infection
2.678 (1.324–5.416)
0.006
2.205 (1.005–4.840)
0.049
PELD pediatric end-stage liver disease, LT liver transplantation, ICU intensive care unit, ABOi ABO-incompatibility, RBC red blood cell, CRE carbapenem-resistant Enterobacteriaceae, RNA ribonucleic acid, OR odds ratio, CI confidence interval

Construction of CRE infection prediction models

We constructed a nomogram (model 1) based on independent risk factors including CRE intestinal colonization before liver transplantation, bile or intestinal leakage and respiratory RNA virus infection to predict CRE infections in pediatric patients after liver transplantation (Fig. 2a). CRE intestinal colonization before liver transplantation and bile/intestinal leakage contributed most to the overall risk score in model 1. Therefore, a second nomogram (model 2) was constructed using only these two factors (Fig. 2b). AUCs of model 1 were 0.724 (95% CI = 0.646–0.802) and 0.738 (95% CI = 0.623–0.852) in the training and internal validation cohorts, respectively (Fig. 3a). Model 2 exhibited AUC values of 0.702 (95% CI = 0.628–0.775) and 0.738 (95% CI = 0.624–0.853) in the training and internal validation cohorts, respectively (Fig. 3b). Furthermore, the performance of model 2 was confirmed using an external validation cohort with an AUC of 0.828 (95% CI = 0.738–0.919, Fig. 3b). Model 1 demonstrated Brier scores of 0.086 and 0.088 in the training and internal validation cohorts, respectively. Model 2 showed Brier scores of 0.088, 0.088, and 0.071 in the training, internal validation, and external validation cohorts, respectively. Brier scores showed generally good alignment between the observed and predicted risks of CRE infection. In addition, we performed subgroup analyses based on operation time, using the median cutoff of 6 hours. In the external validation cohort, model 2 demonstrated superior performance for pediatric patients with prolonged operation time, achieving an AUC of 0.864 (95% CI = 0.840–0.888). In contrast, for shorter procedures, it showed reduced predictive accuracy with an AUC of 0.690 (95% CI = 0.658–0.722). Collectively this indicated that this model may perform better in pediatric patients with longer operative time.
Fig. 2
Nomograms for predicting CRE infections after liver transplantation in pediatric recipients across training and validation cohorts. a Model 1; b model 2. CRE Carbapenem-resistant Enterobacteriaceae, RNA respiratory ribonucleic acid
Bild vergrößern
Fig. 3
Receiver operating characteristic curves for Carbapenem-resistant Enterobacteriaceae infection predictive model 1 (a) and model 2 (b)
Bild vergrößern

Postoperative complications and clinical outcomes in pediatric patients

After liver transplantation, there were no significant differences in acute rejection between patients with CRE infections and those not infected (4.0% vs. 6.2%, P = 0.755; Table 4). Patients who developed CRE infections often underwent longer periods of mechanical ventilation and post-transplant ICU stay (both P < 0.001). Seven patients with CRE infections died within 180 days of liver transplantation; eight patients not infected died over the same period (P < 0.001).
Table 4
Postoperative complications and clinical outcomes of patients with CRE and non-CRE infections in the training cohort
Outcomes
CRE infection (n = 50)
Non-CRE infection (n = 388)
P
Acute rejection within 180 d, n (%)
2 (4.0)
24 (6.2)
0.755
Mechanical ventilation (h), median (IQR)
16.5 (1.0–1584.0)
4.5 (0–1382.0)
 < 0.001
Post-ICU stay (d), median (IQR)
7.0 (0–66.0)
5.4 (0–93.0)
 < 0.001
Death within 180 d, n (%)
7 (14.0)
8 (2.1)
 < 0.001
CRE carbapenem-resistant Enterobacteriaceae, ICU intensive care unit, IQR interquartile range

Discussion

CRE infection poses a significant threat to patients undergoing liver transplantation [19]. The present large-scale study identified CRE intestinal colonization before liver transplantation, post-transplant bile leak or intestinal leakage and respiratory RNA virus infection as independent risk factors of CRE infection in pediatric liver transplant recipients. Moreover, this study constructed prediction models based on these risk factors. These models performed well in training and internal validation cohorts. In addition, the model that included only CRE intestinal colonization and bile or intestinal leakage also achieved satisfactory performance in the internal cohorts; its prediction efficacy was well validated using an external cohort.
As demonstrated in previous studies, CRE intestinal colonization before liver transplantation is significantly associated with CRE bloodstream infection after liver transplantation [5, 20, 21]. Preoperative CRE colonization in pediatric liver transplantation necessitates active pre-surgical detection as these recipients may benefit from preemptive therapy [22].
As living donor and choledochojejunostomy procedures are frequently performed in pediatric liver transplantation, there is an increased risk of post-transplant bile or intestinal leakage [23, 24]. These complications can significantly increase the risk of CRE infections. Moreover, a previous study revealed that increased exposure to antibiotics and biliary interventions may further increase the risk of CRE infections [25]. Protection of bile ducts in liver transplantation is a critical process [26] but where this fails complications require timely and effective intervention [27].
Immunosuppressed pediatric recipients are more susceptible to respiratory RNA virus infections; this was included in our analysis [28]. Severe respiratory RNA virus infections increase the risk of CRE infections [29]. Prevention of RNA virus infections and administering targeted antibiotics in the event of such infections is paramount. In addition, the safety and efficacy of drugs targeting these infections requires careful consideration in pediatric recipients concurrently using immunosuppressants [30].
It is noteworthy that although the current management of CRE infections has developed in recent years the mortality rate, which amounted to 14% in the present study, remains high. Prolonged postoperative ICU stay and ventilation time represent a concerning economic burden for those affected. Poor outcomes underscore the importance of focusing on CRE infections. To bridge the gap between our predictive model and clinical implementation, we plan to conduct prospective clinical studies to validate several interventions. For pediatric patients at high-risk, we recommend: (1) immediate isolation, including single-room isolation with dedicated medical equipment and staff, to prevent potential transmission; (2) enhanced screening protocol including regular rectal swabs and environmental cultures of high-touch surfaces like bedrails and monitors; (3) preemptive therapy as a potential strategy to prevent progression from early colonization to invasive infections, particularly when initiated promptly upon detection of early signs of infection. We plan to conduct a multicenter randomized controlled trial to evaluate the efficacy of preemptive therapy, initiated when early signs of infection are present, compared with standard monitoring in high-risk patient populations. This investigation aims to transform current CRE management from passive to active through screening of high-risk populations and monitoring of both microbial and host factors. Data from this study may also establish novel infection prevention strategies for immunocompromised patients.
There are several limitations to the present study. First, our retrospective findings require prospective validation. Second, respiratory RNA virus detection may not be consistently implemented in some centers; this hinders accurate retrospective validation of the importance of these viruses. Future studies on the role of respiratory RNA viruses are needed. Third, optimal prevention strategies for pediatric patients at a high risk of CRE infection remains unclear; this requires further research.
In conclusion, this study identified risk factors and constructed prediction models for CRE infections occurring after liver transplantation in pediatric populations. These findings could aid identification of pediatric recipients at a higher risk of developing CRE infections and further aid uptake of protective measures, ultimately contributing to improved quality of life after liver transplantation.

Acknowledgements

We thank Kai-Qi Dong (from Department of Radiation Oncology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China) for his advice and help on statistical analyses.

Declarations

Ethical approval

This study complied with the Declaration of Helsinki and was approved by the Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine (IIT20240071A). All organ donations were obtained through voluntary procedures with documented informed consent. Given the retrospective design of this study, the requirement for additional informed consent was waived by the institutional review board.

Conflict of interest

No financial or non-financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article. The authors have no conflict of interest to declare.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Titel
Predicting carbapenem-resistant Enterobacteriaceae infections in pediatric liver transplant recipients
Verfasst von
Yang-Yang Wang
Wei-Li Wang
Yan Sun
Wei Zhang
Yun-Tao Zhang
Shun-Liang Gao
Jian Wu
Yan Shen
Zhe-Cheng Zhu
Xue-Li Bai
Qi Zhang
Ting-Bo Liang
Publikationsdatum
09.09.2025
Verlag
Springer Nature Singapore
Erschienen in
World Journal of Pediatrics / Ausgabe 10/2025
Print ISSN: 1708-8569
Elektronische ISSN: 1867-0687
DOI
https://doi.org/10.1007/s12519-025-00973-9
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