Abstract
Purpose
Infections during neutropenia are a potentially life-threatening complication in pediatric oncology. International guidelines recommend antipseudomonal β-lactam monotherapy for stable patients, however, modification to carbapenems often occurs without confirmed infection.
Methods
We conducted a retrospective cohort study at a single tertiary pediatric oncology center to assess the impact of a carbapenem-sparing AMS intervention in children during neutropenia. All pediatric cancer patients with at least one episode of suspected infection between January 2021 and October 2024 were included. The intervention combined training, updated standard operating procedures, multidrug-resistant (MDR) surveillance swabs, and a structured protocol reassessing meropenem treatment.
Results
Among 254 patients, 116 met the inclusion criteria, accounting for 432 episodes (270 pre- and 162 post-intervention). Re-modification of antimicrobial therapy from meropenem to piperacillin/tazobactam was achieved in 16 of 50 post-intervention episodes. The median duration of meropenem treatment decreased from 9 to 6 days (p = 0.006). Interrupted time series analysis showed a non-significant reduction in meropenem use, corresponding to an estimated decline of 40.7 days of therapy (DOT) per 1000 patient-days per quarter. Mortality was unchanged (3.8% vs 4.3%).
Conclusion
Our findings demonstrate that a structured AMS intervention is feasible and effective in pediatric oncology, reducing unnecessary meropenem exposure without compromising safety. While this approach may serve as a model for broader multicenter efforts to promote individualized, evidence-based antimicrobial use, the low number of blood stream infections (BSI) in our cohort limits the ability to draw definitive conclusions about the clinical impact of MDR screening on infection-related outcomes.
Supplementary Information
The online version contains supplementary material available at 10.1007/s15010-026-02813-y.
Keywords: Antimicrobial stewardship, Children with cancer, Febrile neutropenia, Infections in pediatric oncology
Introduction
With advances in cancer therapy leading to improved survival in pediatric oncology, the focus of care has increasingly shifted toward preventing treatment-related complications, particularly infections. Bacterial infections remain among the most feared complications in pediatric patients with febrile neutropenia. The standard of care for both adults and children presenting with fever during chemotherapy-induced neutropenia is the empirical antimicrobial therapy [1–4]. Current national and international guidelines recommend monotherapy with an antipseudomonal beta-lactam/beta-lactamase inhibitor (BLBLI) or a fourth-generation cephalosporin for clinically stable patients with a low risk of resistant gram-negative infections [2, 5]. Despite these recommendations, carbapenems are frequently used in a substantial proportion of cases [6, 7]. Furthermore, although guidelines emphasize that persistent fever alone does not warrant broadening the antimicrobial spectrum, this remains a common practice in clinical settings [3, 6, 8]. This discrepancy underscores the need for antimicrobial stewardship (AMS) interventions that support adherence to guidelines and limit unnecessary carbapenem use. A stronger emphasis on AMS also arises from the global increase of invasive infections caused by multidrug-resistant (MDR) gram-negative bacteria [9–13]. Therapeutic options for MDR gram-negative infections are limited and require careful stewardship. AMS programs aim to optimize the use of antimicrobial agents by guiding appropriate indication, dosing, duration and route of administration [14]. It has been shown that such programs safely improve antibiotic prescribing practices without increasing mortality rates [21, 22]. However, patients with cancer are often underrepresented in AMS literature [15, 16]. In adult oncology populations, AMS interventions have been shown to reduce unnecessary antibiotic use without compromising patient safety. Effective stewardship strategies include prospective educational interviews, implementation of standardized clinical pathways, de-escalation of empiric antibiotic therapy, and the use of rapid diagnostic testing [17]. Moreover, these interventions have been associated with a decrease of infections caused by MDR gram-negative pathogens [18], as well as reduced mortality rates [19, 20]. The 10th European Conference on Infections in Leukaemia (ECIL-10) explicitly recommends AMS in this population [21]. Furthermore, current certification requirements of the German Cancer Society (DGK) mandate the implementation of AMS rounds or comparable formats within oncology centers [22]. In contrast, such structured requirements are less clearly defined in pediatric oncology, which may contribute to variability in clinical practice. Although pediatric AMS programs are increasingly being adopted, evidence supporting their impact in children with cancer remains limited. However, available data consistently suggest beneficial effects [23]. A recent systematic review identified nine studies in pediatric hematology and oncology settings, demonstrating a decrease of broad-spectrum antibiotic use and of antibiotic-related side effects, without an increase of infection-related mortality [23]. Given the limited and heterogeneous evidence in pediatric oncology, as well as substantial variability in clinical practice across institutions, there is a need to generate data that can inform more standardized approaches to antimicrobial management in this vulnerable population. With this study, we aim to contribute to the existing evidence base by implementing a carbapenem-sparing AMS intervention in our pediatric oncology department, while maintaining patient safety.
Patients and methods
This manuscript was prepared in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines to ensure comprehensive reporting of the study methods and findings [24].
The study was approved by the local ethics committee of the University of Cologne (approval no. 25—1223-retro). Due to the retrospective nature of the study, the committee confirmed that no formal review was necessary and raised no ethical concerns.
Study design and patients
We conducted a retrospective cohort study to evaluate the impact of an AMS intervention on reducing meropenem use in pediatric oncology patients with a suspected infection during neutropenia. The primary objective was meropenem use, quantified as days of therapy (DOT) per 1000 patient-days. Secondary objectives included the incidence of MDR blood stream infections (BSI) and mortality, which were assessed as safety outcomes.
The study was conducted at the University Children’s Hospital of Cologne, a tertiary care referral center in Germany. The hospital has a total capacity of 1,573 beds, including a dedicated children’s hospital with 149 inpatient beds as well as two day-care units. The pediatric oncology department comprises 18 inpatient beds and treats approximately 60 newly diagnosed cancer patients per year. Hematopoietic stem cell transplantation at our center is limited to autologous procedures.
All pediatric cancer patients with at least one episode of suspected infection during chemotherapy-induced neutropenia (< 500/µl) were eligible for inclusion. Neutropenia had to be present either at the time of treatment initiation or anticipated within the clinical course. Fever was not a mandatory criterion, as patients could be included based on the treating senior physician’s clinical judgment of infection risk, even in the absence of fever. No other exclusion criteria were applied. Patients were systematically identified through the institution’s annual documentation of oncology cases, which is maintained in alignment with mandatory reporting to the German Childhood Cancer Registry. Data were collected from January 2021 until and including October 2024, with the AMS intervention implemented in August 2023. Clinical data were extracted from paper-based medical records and electronic health records. Laboratory data, including microbiological cultures and MDR surveillance swabs, were retrieved from the institutional laboratory information system. Patients were followed across all neutropenic episodes throughout the study period. Detailed documentation was maintained up to the third modification of antimicrobial therapy. Diagnostic procedures remained consistent before and after the AMS intervention, adhering to standardized clinical protocols, with the exception of rectal swabs, which were additionally performed and documented as part of the AMS strategy.
The diagnostic evaluation of suspected infection during neutropenia followed institutional protocols in accordance with current guidelines [5]. Blood cultures were obtained at the onset of fever prior to initiation of any antibiotic therapy and were routinely drawn from every lumen of central venous lines. Additional microbiological testing, including urine cultures, stool diagnostics, and viral PCR, was performed based on clinical presentation and did not delay the initiation of empirical antimicrobial therapy. Imaging studies, such as chest radiography and abdominal ultrasound, were performed when clinically indicated, while chest computed tomography was reserved for patients with prolonged fever beyond 96 hours with regards to potential risk of invasive fungal infection. Patients underwent daily clinical assessment, including physical examination and routine laboratory monitoring with complete blood count and C-reactive protein (CRP).
Microbiological findings were interpreted in accordance with the German Microbiological-Infectiological Quality Standards (MiQ) [25]. Potential contaminants, such as coagulase-negative staphylococci (CoNS), were evaluated in the context of clinical findings and microbiological reporting, which routinely indicates the likelihood of contamination. As blood cultures in pediatric patients were obtained from central venous lines without corresponding peripheral cultures, the decision to initiate or continue CoNS- specific antimicrobial therapy was based on clinical judgment by the responsible senior physician. Fungal infections were classified according to EORTC/MSG criteria [26].
The AMS intervention
The AMS intervention was developed in response to concerns regarding frequent modification of antibiotic therapy to meropenem in patients with suspected infection during neutropenia. The initiative was led by an infectious diseases fellow in collaboration with the institutional AMS lead and was discussed within the pediatric oncology team. Current evidence on antimicrobial stewardship and local resistance data were presented at a regular departmental meeting, and the proposed approach was refined jointly by pediatric oncologists and infectious diseases specialists. The resulting modifications to the local standard operating procedures (SOP) were disseminated in written form to all physicians. Nursing staff were subsequently trained on the revised procedures. Updated SOPs were made accessible via the institution’s internal data management system and were available to all clinicians at any time. Ongoing adherence to the SOPs was overseen by the senior attending physician responsible for the inpatient ward. Implementation was further supported through integration into daily ward rounds, ensuring consistent application in routine clinical practice.
Prior to the AMS intervention, the institutional standard protocol specified that all patients with persistent fever lasting more than 72 hours or with continuously elevated inflammatory markers were switched from first-line therapy with piperacillin/tazobactam to meropenem. Blood cultures were drawn again immediately before switching to meropenem. Antifungal therapy with voriconazole was initiated after 96 hours under the same clinical criteria in the absence of clinical improvement. Following the AMS intervention, stool or rectal MDR surveillance swabs were obtained from all patients starting meropenem after 72 hours of persistent fever or ongoing inflammatory marker elevation. This targeted approach was chosen to focus screening on patients in whom results would directly influence antimicrobial decision-making, while avoiding unnecessary testing in patients who responded to initial therapy. This approach was applied consistently, irrespective of prior MDR carrier status. In the absence of MDR detection, therapy was re-modified back to piperacillin/tazobactam (Fig. 1).
Fig. 1.
Overview of patient screening and eligibility, illustrating the number of children assessed and the final cohort included in the analysis
Local epidemiology and MDR screening
Local antimicrobial resistance patterns are routinely monitored through institutional surveillance. MDR organisms are defined according to standardized international criteria as acquired non-susceptibility to at least one agent in three or more antimicrobial categories [27]. In our institution, hospital-wide resistance rates among blood stream isolates in 2024 were approximately 15% for third-generation cephalosporin-resistant Escherichia coli and 18% for Klebsiella spp. Overall, approximately 10% of all gram-negative BSIs are caused by third-generation cephalosporin-resistant organisms. These estimates are derived from hospital-wide surveillance data and may not fully reflect resistance patterns specific to the pediatric oncology population.
MDR surveillance was performed using culture-based rectal swabs, targeting MDR gram-negative organisms according to the German KRINKO classification [28]. Screening did not include vancomycin-resistant enterococci (VRE). Preliminary microbiological results were typically available after 24 h, with final results after 48 h.
Statistics
All statistical analyses were conducted using SPSS Statistics, Version 31 (IBM). Exploratory data analysis was performed to assess the distribution of continuous variables. This included visual inspection using histograms and Q–Q plots, along with formal testing for normality using the Kolmogorov–Smirnov test for sample sizes ≥ 50 and the Shapiro–Wilk test for smaller sample sizes. Normality assessments were stratified by the two main comparison groups: pre-AMS intervention and post-AMS intervention. A p-value < 0.05 was considered indicative of a significant deviation from normality. Normally distributed continuous variables were compared using Student’s t-test where applicable, while non-normally distributed variables were analyzed using the Mann–Whitney U test. Additionally, the Kolmogorov–Smirnov test was applied to evaluate whether the overall distributions of continuous variables differed between the two groups, beyond central tendency. All continuous data comparisons were evaluated using two-sided tests, with statistical significance set at p < 0.05. For categorical variables, group comparisons between the pre- and post-AMS cohorts were conducted using the chi-square test or Fisher’s exact test, as appropriate, based on expected cell counts. A p-value < 0.05 was considered statistically significant for all categorical comparisons.
To account for temporal trends and evaluate the effect of the AMS intervention over time, an interrupted time series (ITS) analysis was performed using segmented linear regression. Quarterly meropenem use, expressed as DOT per 1000 patient-days, was modeled as the dependent variable. Given the substantial variability in monthly antibiotic use and the limited number of observations, aggregated quarterly data was performed to reduce random fluctuation and improve interpretability of trends. The quarterly analysis was used as the primary basis for interpretation.
Results
Patient characteristics
Between January 2021 and October 2024, a total of 254 children were diagnosed with cancer at our institution. Of these, 138 patients did not experience any episode of suspected infection during neutropenia and were therefore excluded. The remaining 116 patients met the eligibility criteria and were included in the analysis (Fig. 2). Among the 116 included patients, a total of 432 episodes with suspected infection during neutropenia were documented. The median number of episodes was 3 (IQR 2–5) overall. The majority of patients were neutropenic at the time of treatment initiation. In 22% of cases, neutropenia developed after the start of treatment, with a median onset of 3 days (IQR 2–5 days). As illustrated in Table 1 and Table S1, baseline patient characteristics like age, sex, underlying disease and presence of mucositis did not differ between episodes prior to and post the AMS intervention. Focus of suspected infection remained unidentified in the majority of cases. CRP was significantly higher and fever was more present in the post AMS cohort, while white blood count and proportion of patients requiring ICU admission did not differ between groups.
Fig. 2.
Illustration of the AMS intervention with MRE screening and re-modification from meropenem to piperacillin/tazobactam after negative results
Table 1.
Baseline demographic and clinical characteristics of the 116 patients included in the study
| Patients (n = 116) | Episodes prior AMS intervention (n = 270) | Episodes post AMS intervention (n = 162) | Total number ofepisodes (n = 432) |
p | |
|---|---|---|---|---|---|
| Sex = female (%) | 44 (37.9) | 101 (37.4) | 64 (39.5) | 165 (38.2) | 0.664 |
| Age in years [median] (IQR) | 5.7 (2.7–12.1) | 6.5 (2.9–11.6) | 7.6 (2.9–11.7) | 7.6 (2.9–11.6) | 0.263 |
| Underlying oncological disease (%) | |||||
| ALL | 32 (27.6) | 71 (26.3) | 57 (35.2) | 128 (29.6) | 0.156 |
| AML | 12 (10.3) | 33 (12.2) | 22 (13.6) | 55 (12.7) | |
| Lymphoma | 23 | 48 (17.8) | 17 (10.5) | 65 (15.0) | |
| Neuroblastoma | 21 (18.1) | 42 (15.6) | 24 (14.8) | 66 (15.3) | |
| Other | 28 | 76 (28.1) | 42 (25.9) | 118 (27.3) | |
| Focus of suspected infection (%) | |||||
| Unknown | 233 (86.3) | 143 (88.2) | 376 (86.8) | 0.750 | |
| Upper respiratory infection | 6 (2.2) | 6 (3.7) | 12 (2.8) | ||
| Lower respiratory infection | 2 (0.7) | 1 (0.6) | 3 (0.7) | ||
| Soft tissue infection | 9 (3.3) | 3 (1.9) | 12 (2.8) | ||
| Abdominal infection | 11 (4.1) | 7 (4.3) | 18 (4.2) | ||
| Others* | 9 (3.3) | 2 (1.2) | 11 (2.5) | ||
| Neutropenia at first Abx (%) | 210 (77.5) | 127 (78.9) | 337 (78.0) | 0.736 | |
| WBC at first Abx [median cells × 10^9/L](IQR) | 640 (170–1665) | 525 (177.5–1550) | 590 (170–1550) | 0.568 | |
| Neutrophil count at first Abx [median cells × 10^9/L](IQR) | 70 (5–405) | 50 (0–315) | 60 (0–340) | 0.309 | |
| CRP at first Abx in mg/L [median](IQR) | 17 (6.8–44) | 25.2 (11.5–53.4) | 19.2 (8.1–48.4) | 0.003 | |
| Fever at admission = yes (%) | 160 (59.3) | 120 (74.1) | 280 (64.8) | 0.002 | |
| Bacteremia = yes (%) | 32 (11.9) | 19 (11.7) | 51 (11.8) | 0.998 | |
| ICU admission = yes (%) | 21 (7.8) | 8 (4.9) | 29 (6.7) | 0.254 | |
*acute otitis media (n = 1 vs. n = 1), wound infection (n = 1 vs. n = 0), urinary tract (n = 3 vs. n = 0), acute tonsillitis (n = 3 vs. n = 1), conjunctivitis (n = 1 vs. n = 0)
IQR: interquartile range; Abx: antibiotic therapy; WBC: white blood count; ALL: acute lymphoblastic leukemia, AML: acute myeloid leukemia
Antibiotic treatment and blood culture results
First-line antibiotic treatment consisted of piperacillin/tazobactam in 98.1% of all suspected infection episodes. Blood cultures were obtained at initial presentation in all children according to national guidelines [5]. A pathogen was identified in 51 episodes (11.8%). Gram-positive and gram-negative bacteria were equally represented among the isolated organisms. Polymicrobial infections were detected in a notable proportion of cases, occurring in 13 episodes (25.5% of all culture-positive episodes) (Table 2).
Table 2.
First-line antimicrobial treatment and blood culture results at initial presentation of suspected infection in neutropenia
| Episodes prior AMS intervention (n = 270) | Episodes post AMS intervention (n = 162) | Total number of Episodes (n = 432) |
p | |
|---|---|---|---|---|
| First-line Abx (%) | ||||
|
Piperacillin/Tazobactam Median days of treatment (IQR) |
267 (98.5) 5 (4–8) |
157 (97.5) 5 (4–7) |
424 (98.1) 4 (4–7) |
0.342 0.979 |
|
Vancomycin Median days of treatment (IQR) |
15 (5.5) 5.5 (4–6.5) |
3 (1.9) 9.5 (5-#) |
18 (4.2) 5.5 (5–7.5) |
0.050 0.500 |
|
Teicoplanin Median days of treatment (IQR) |
10 (3.7) 8 (5.75–9.5) |
8 (5.0) 4 (3–13.5) |
18 (4.2) 7 (3.5–8.75) |
0.520 0.147 |
|
Meropenem Median days of treatment (IQR) |
1 (0.4) – |
2 (1.2) – |
3 (0.7) – |
0.313 |
|
Metronidazol Median days of treatment (IQR) |
2 (0.7) | 0 | 2 (14.4) | 0.393 |
|
Ampicillin/Sulbactam Median days of treatment (IQR) |
1 (0.4) | 0 | 1 (0.2) | 0.627 |
|
Amoxicillin p.o Median days of treatment (IQR) |
1 (0.4) | 0 | 1 (0.2) | 0.627 |
|
Cefuroxim p.o Median days of treatment (IQR) |
0 | 2 (1.2) | 2 (0.4) | 0.138 |
|
Caspofungin Median days of treatment (IQR) |
1 (0.4) | 0 | 1 (0.2) | 0.627 |
| Combination therapy | 26 (9.6) | 11 (6.8) | 37 (8.6) | 0.321 |
| Positive blood cultures (%) | 32 (11.9) | 19 (11.7) | 51 (11.8) | 0.998 |
| Polymicrobial pathogen identification | 9 (28.1) | 4 (21.1) | 13 (25.5) | 0.532 |
| Gram-positive bacteria | 24 (75.0) | 10 (52.6) | 33 (64.5) | 0.261 |
| Gram-negative bacteria | 16 (50.0) | 14 (73.7) | 32 (62.7) | |
| Identified species | ||||
| CoNS | 12 (37.5) | 6 (31.6) | 18 (35.3) | |
| Viridans group streptococci | 4 (12.5) | 2 (10.5) | 6 (11.8) | |
| S. aureus | 2 (6.3) | 0 | 2 (3.9) | |
| M. luteus | 2 (6.3) | 4 (21.1) | 6 (11.8) | |
| E. faecalis | 1 (3.1) | 0 | 1 (2.0) | |
| E. faecium | 1 (3.1) | 0 | 1 (2.0) | |
| Corynebacterium amycolatum | 0 | 2 (10.5) | 2 (3.9) | |
| Others gram-positive species* | 2 (6.3) | 0 | 2 (3.9) | |
| E. coli | 8 (25.0) | 5 (26.3) | 13 (25.5) | |
| K. variicola | 2 (6.3) | 0 | 2 (3.9) | |
| K. pneumoniae | 1 (3.1) | 1 (5.3) | 2 (3.9) | |
| Moraxella catharralis | 0 | 2 (10.5) | 2 (3.9) | |
| Other gram-negative species** | 5 (15.6) | 1 (5.3) | 6 (11.8) | |
*Actinomyces naeslundii (n = 1 vs. n = 0), Bacillus cereus (n = 1 vs. n = 0), Kocuria rhizophila (n = 1 vs. n = 0)
** E. cloacae (n = 1 vs. n = 1), F. Nucleatum (n = 1 vs. n = 0), Sphingmonas desiccabilis (n = 1 vs. n = 0); Phytobacter ursingii (n = 1 vs. n = 0); Paenibacillus tylopili (n = 1 vs. n = 0), Roseomonas mucosa (n = 0 vs. n = 1)
Second-line modification of antimicrobial therapy involved the switch to meropenem in 124 episodes. In 36 episodes, this modification was based on pathogen identification. Pathogens not covered by first-line therapy were identified in a minority of cases. These included gram-positive organisms, primarily CoNS and one case of Enterococcus faecium, which prompted the addition of glycopeptide therapy. Gram-negative pathogens not susceptible to piperacillin/tazobactam were identified in four episodes of Escherichia coli, as well as in three episodes involving rare species (Sphingomonas desiccabilis, Paenibacillus tylopili, and Roseomonas mucosa), leading to treatment modification to meropenem. Notably, in nine episodes, therapy was broadened despite the initial detection of pathogens susceptible to piperacillin/tazobactam. In an additional 117 episodes (27.1%), anti-infective therapy was changed despite the absence of initial pathogen identification, reflecting treatment modification according to the local SOPs.
MDR Screening and re-modification of carbapenem usage
Of the 124 episodes in which second-line meropenem was administered, 74 occurred prior to the AMS intervention and 50 occurred afterward. Rectal MDR screening was performed in 44 episodes. Extended-spectrum β-lactamase (ESBL)-producing Escherichia coli were identified in five episodes, while ESBL-producing Klebsiella variicola was detected in one episode. Additionally, AmpC-producing Citrobacter freundii were identified in two episodes, and carbapenemase-producing Klebsiella pneumoniae (KPC) in one. These pathogens were detected in a total of five patients, with some patients showing repeated detection of different organisms at different time points during therapy. One patient had a history of immigration from a high-prevalence country, three cases were classified as healthcare-associated, and one patient exhibited colonization at the onset of their malignancy without any known risk factors. Prior knowledge of MDR colonization did not lead to modification of first-line antimicrobial therapy, which remained guideline-based. None of the via MDR screening identified pathogens led to a BSI or other invasive infection in our cohort.
Re-modification of therapy with a switch back to piperacillin/tazobactam was implemented in 16 of 50 episodes following the AMS intervention. The median duration of meropenem treatment decreased from a median of nine to six days (p = 0.006) (Table 3, Fig. 3). Among the remaining 34 episodes in which re-modification was not performed, continuation of meropenem therapy was justified in cases with detection of MDR pathogens in rectal screening swabs. Of the remaining 19 episodes, 13 underwent rectal screening with negative results, while in 6 episodes no screening was performed. In none of these 19 episodes was a documented reason for continuing meropenem therapy available. These findings indicate that a substantial proportion of episodes represented missed opportunities for protocol-adherent de-escalation or gaps in implementation of the screening strategy. No clear temporal trend in adherence to the AMS strategy was observed, as episodes without screening occurred throughout the post-intervention period.
Table 3.
Overview of meropenem prescriptions following prior and post AMS intervention
| Episodes prior AMS intervention (n = 74) | Episodes post AMS intervention (n = 50) | p | |
|---|---|---|---|
| Median days of meropenem treatment (IQR) | 9 (5–13) | 6 (5.0–8.0) | 0.006 |
| Re-modification back to piperacillin/tazobactam (%) | 0 | 16 (32.0) | < 0.001 |
| Median days of piperacillin/tazobactam treatment after re-modification back to piperacillin/tazobactam (IQR) | 0 | 5 (4–8) | n.a |
Fig. 3.

Box-plot visualization of median meropenem days in the pre- and post-intervention periods
Temporal trends in meropenem use
On a quarterly level, meropenem use showed a non-significant upward trend prior to the intervention (β = 8.1, p = 0.436). Following AMS implementation, no significant immediate level change was observed (β = 81.3, p = 0.529); however, a downward change in the post-intervention trend was noted (β = − 48.8, p = 0.186), corresponding to an estimated decline of 40.7 DOT per 1000 patient-days per quarter after the intervention. Overall, the quarterly analysis demonstrated a consistent decline in meropenem use following the intervention (Fig. 4).
Fig. 4.
Quarterly mean monthly meropenem DOT per 1000 patient-days over time, with the dashed line representing the fitted segmented regression model and the vertical marker indicating the implementation of the AMS intervention
Outcome
Of the 116 patients included in our study, 17 (14.7%) died. Mortality was 3.8% in the pre-intervention period (10/264 episodes) and 4.3% in the post-intervention period (7/162 episodes), with no statistically significant difference (p = 0.785).
One death was attributed to septic shock caused by a piperacillin/tazobactam- and carbapenem-resistant Pseudomonas aeruginosa following ileal perforation. Notably, this pathogen was identified prior to the AMS intervention and later during the course of febrile neutropenia, and was therefore not included in the previously described data on initial pathogen identifications.
In addition, ten deaths were attributed to progression of the underlying malignancy, and one patient died from neutropenic enterocolitis in the context of persistent severe neutropenia. In five patients, fungal infections were determined to be a proven or probable contributing factor to death. No deaths were associated with re-modification of antibiotic therapy from meropenem to piperacillin/tazobactam.
Discussion
In this retrospective cohort of 116 pediatric oncology patients with suspected infection during neutropenia, we analyzed 432 infection episodes. Through the AMS intervention, re-modification to piperacillin/tazobactam was achieved in 16 episodes. Interrupted time series analysis showed a consistent, but non-significant decline of 40.7 DOT per 1000 patient-days per quarter following AMS implementation. Overall mortality was 14.7%, bacterial infections contributed to a minority of deaths, and none were attributable to MDR pathogens identified via screening.
While first-line treatment in our cohort adhered to international guidelines [2], many second-line modifications did not align with established recommendations [1, 3]. In particular, broadening of the given antibiotic therapy was often done despite the absence of confirmed infection or clinical deterioration. Such practices, though not guideline-supported, remain widespread in many pediatric oncology departments [6]. This finding indicates that the full potential of meropenem reduction through AMS was not yet exhausted in our cohort. Moreover, not all patients without evidence of MDR colonization were consistently de-escalated back to piperacillin/tazobactam following negative screening results, suggesting that an even greater reduction in carbapenem exposure would have been achievable with stricter adherence to the AMS algorithm.
The incidence of microbiologically confirmed BSIs in our cohort is comparable to findings from other mixed pediatric cancer populations [29–35]. BSIs caused by gram-negative strains resistant to the initial antimicrobial therapy occurred in seven episodes. The incidence of infections caused by resistant gram-negative pathogens varies significantly depending on local epidemiology [10, 34, 36–43]. Nonetheless, the global rise in MDR infections remains alarming [10–12, 44–46]. BSIs caused by MDR gram-negative pathogens are associated with worse clinical outcomes compared to infections with susceptible strains [42, 47–51]. Prior exposure to antibiotics is a well-established risk factor for the development of resistant infections. Given the limited therapeutic options of carbapenem-resistant gram-negative bacteria, the use of broad-spectrum agents such as meropenem are of particular concern [12, 52, 53].
The prevalence of MDR rectal colonization is strongly influenced by local epidemiology as well [54–57]. In Germany, the prevalence of ESBL colonization among adults with hematologic malignancies ranges from 11 to 18% [58, 59]. In pediatric oncology patients, data remains scarce. Reported prevalence rates vary widely by region, with studies from India [46, 60, 61], Iran [62], Egypt [63], Brazil [64, 65], Ethiopia [66], Algeria [67], Poland [68] and the USA [69]. However, to our knowledge, corresponding data from Germany or other Western European countries are currently lacking. Screening for MDR colonization in Germany is currently recommended for patients originating from high-prevalence countries or those with prior contact with healthcare facilities in such regions [28]. Although our sample size is limited, our findings are broadly consistent with existing recommendations regarding risk factors for MDR colonization. One patient with MDR colonization had a history of immigration from a high-prevalence country. Three patients developed MDR colonization during the course of their disease, likely reflecting prior healthcare exposure as another well-known risk factor. However, the reasons why these patients developed a colonization, while most others with similar exposures did not, remain unclear. Furthermore, one patient was found to carry an MDR organism despite having no identifiable risk factors. The all-cause mortality rate in our cohort was 14.7%. Ten deaths were attributed to progression of the underlying malignancy. Uncontrolled infection was present in six patients—one case involved septic shock due to MDR Pseudomonas aeruginosa, and five cases occurred in the context of invasive fungal disease. Importantly, none of the MDR pathogens identified via rectal screening resulted in a BSI during the study period. While comparable cohorts report higher mortality rates among children with BSIs [38, 39], the absolute number of BSIs in our cohort was low.
Taken together, our findings underscore the critical importance of targeted AMS interventions, even in high-risk populations such as pediatric oncology patients. While colonization and infection with MDR pathogens remain a growing concern, evidence from both our cohort and published literature suggests that AMS can effectively mitigate antimicrobial overuse without compromising safety. Comprehensive AMS strategies have been shown to safely decrease overall antibiotic consumption [15, 70] and even reduce institutional antimicrobial resistance rates, including settings where community resistance rates continue to rise [71]. In adults with febrile neutropenie, AMS programs showed a safe reduction of carbapenems [72, 73]. In corresponding pediatric cohorts with febrile neutropenia, prior AMS programs targeted vancomycin [33], aminoglycoside [32, 74] or carbapenem exposure [75, 76] effectively. Nevertheless, limited data results in an overuse of antimicrobials. This aspect is often driven by clinicians’ fear of missing a serious infection, while the potential harms and long-term consequences tend to play a lesser role in decision-making [77]. In pediatric oncology, this concern is particularly understandable, given the vulnerability of this patient population and the significant improvements in cancer survival rates over recent decades. In this context, even marginal risks of under-treatment are often perceived as unacceptable, contributing to a cautious approach that may unintentionally reinforce patterns of unnecessary antimicrobial broadening. However, our data illustrate that structured AMS-guided decision-making can safely counterbalance this fear and enable more confident, guideline-adherent prescribing. In our cohort, we were able to reduce meropenem prescriptions, measured by DOT per 1000 patient-days, achieved through structured AMS-guided modification of antibiotic therapy.
This study has several limitations. First, it was conducted at a single center with a limited sample size, which may affect the generalizability of the findings to other settings. Second, the retrospective design inherently carries risks of incomplete documentation and potential bias in clinical decision-making. Third, the relatively low absolute number of BSIs restricts our ability to draw firm conclusions regarding the clinical impact of MDR screening on infection-related outcomes. Fourth, the timing of MDR screening may represent a limitation. Screening was performed after initiation of antibiotic therapy, which may have affected the detection of colonizing organisms. Although the approach was designed as a pragmatic, risk-adapted strategy to guide clinical decision-making, the potential impact of prior antimicrobial exposure on culture sensitivity cannot be excluded. Finally, this study is also subject to boundary effects. As inclusion required at least one episode of suspected infection during neutropenia, antibiotic exposure at the beginning of the study period may be underestimated, since patients were only captured after their first qualifying episode. Conversely, towards the end of the observation period, follow-up for newly enrolled patients may be incomplete, potentially leading to underestimation of antibiotic use in later time points. These effects may have influenced estimates at the margins of the time series. The limited number of time points, particularly in the post-intervention period, may have also reduced the statistical power of the interrupted time series analysis.
In conclusion, our findings demonstrate that AMS is both feasible and effective in pediatric oncology patients with febrile neutropenia, resulting in a significant reduction in meropenem use. Strict adherence to guideline-based escalation criteria and consistent de-escalation in non-MDR cases could further enhance the impact of such interventions. Given the global rise of MDR organisms and the limited treatment options for infections, stewardship efforts in this vulnerable population are more crucial than ever. Meropenem and other broad-spectrum agents must be preserved for those who truly need them. This study may serve as a pilot for larger, multicenter efforts across Western Europe aimed at defining true MDR prevalence in children with cancer, refining risk stratification, and promoting individualized, evidence-based antimicrobial use.
Supplementary Information
Below is the link to the electronic supplementary material.
Author contributions
Conceptualization: Sarina K. Butzer, Norma Jung, Pablo Landgraf, Thorsten Simon Methodology: Sarina K. Butzer, Norma Jung, Katrin Mehler, André Oberthuer, Pablo Landgraf, Thorsten Simon Formal analysis and investigation: Sarina K. Butzer Writing – original draft preparation: Sarina K. Butzer Writing – review and editing: Sarina K. Butzer, Katrin Mehler, André Oberthuer, Lena M. Biehl, Benjamin Kuehne, Pablo Landgraf, Thorsten Simon Supervision: Norma Jung, Katrin Mehler, André Oberthuer All authors read and approved the final manuscript.
Funding
Open Access funding enabled and organized by Projekt DEAL. The authors did not receive support from any organization for the submitted work.
Data availability
The dataset generated and/or analyzed during the current study are not publicly available іn order tо comply with applicable patient confidentiality and data protection laws.
Declarations
Conflict of interest
NJ reports receiving lecture fees from AbbVie, Cogitando, GSK, Infectopharm, Medupdate, Phaion, Pfizer, Shionogi, and Tillotts; travel grants from Pfizer; and advisory board fees from MSD and Shionogi. NJ serves оn the editorial board оf Die Innere Medizin (Springer Nature) and contributes tо the podcast Consilium infectorum (Infectopharm). NJ іs also a member оf the scientific board оf Streamed-up (InfektioLive). All other authors declare that they have no conflict of interest.
Ethical approval
This research study was conducted retrospectively from data obtained for clinical purposes. We consulted with the Ethics committee Cologne who confirmed that no ethical approval is required.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The dataset generated and/or analyzed during the current study are not publicly available іn order tо comply with applicable patient confidentiality and data protection laws.



