Submitted:
19 May 2026
Posted:
21 May 2026
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
1.1. The Global Burden of Antibiotic Resistance
1.2. Pediatric Antibiotic Use as a Driver of Resistance
1.3. Healthcare-Associated and Geographic Risk Factors
2. Results
2.1. Epidemiology of Resistance in Key Pediatric Pathogens
2.1.1. Gram-Negative Multidrug-Resistant Organisms
2.1.2. Gram-Positive Resistant Pathogens
2.2. Mechanisms of Resistance Relevant to Pediatric Practice
2.3. Clinical Outcomes Associated with Resistant Infections
2.4. Vaccination as a Pillar of Antimicrobial Resistance Prevention
2.5. Antimicrobial Stewardship in Pediatric Practice
2.6. Novel Therapeutics for Pediatric Multidrug-Resistant Infections
3. Discussion
4. Critical Analysis and Research Gaps
4.1. Lack of Pediatric-Specific Clinical Trials
4.2. Geographic and Methodological Imbalances
4.3. Microbiome and Long-Term Ecological Consequences
4.4. Diagnostic Implementation Gaps
4.5. Stewardship Outside Tertiary Centers
5. Future Directions
5.1. Scale Pediatric-Focused Antimicrobial Stewardship
5.2. Expand Rapid Molecular Diagnostics, Especially in LMICs
5.3. Integrate Whole-Genome Sequencing into Surveillance
5.4. Conduct Pediatric-Inclusive Clinical Trials
5.5. Strengthen Infection Prevention and Control
5.6. Use Vaccines as Primary AMR Prevention
5.7. Address Health-System Inequities
6. Materials and Methods
6.1. Literature Search Strategy
6.2. Inclusion and Exclusion Criteria
6.3. Study Identification and Selection
6.4. Data Synthesis
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| 3GCR | Third-Generation Cephalosporin-Resistant |
| AMR | Antimicrobial Resistance |
| aOR | Adjusted Odds Ratio |
| ARPEC | Antibiotic Resistance and Prescribing in European Children |
| ASP | Antimicrobial Stewardship Program |
| AWaRe | Access, Watch, Reserve (WHO antibiotic classification) |
| BARNARDS | Burden of Antibiotic Resistance in Neonates from Developing Societies |
| BSI | Bloodstream Infection |
| CA-MRSA | Community-Associated Methicillin-Resistant Staphylococcus aureus |
| CI | Confidence Interval |
| cIAI | Complicated Intra-Abdominal Infection |
| CRE | Carbapenem-Resistant Enterobacterales |
| cUTI | Complicated Urinary Tract Infection |
| EMA | European Medicines Agency |
| ESBL | Extended-Spectrum β-Lactamase |
| FDA | U.S. Food and Drug Administration |
| GBD | Global Burden of Disease |
| GNBSI | Gram-Negative Bloodstream Infection |
| HAP | Hospital-Acquired Pneumonia |
| HSCT | Hematopoietic Stem-Cell Transplant |
| ICU | Intensive Care Unit |
| IQR | Interquartile Range |
| KPC | Klebsiella pneumoniae Carbapenemase |
| LMIC | Low- and Middle-Income Countries |
| MBL | Metallo-β-Lactamase |
| MDR | Multidrug-Resistant |
| MDRO | Multidrug-Resistant Organism |
| MeSH | Medical Subject Headings |
| MRSA | Methicillin-Resistant Staphylococcus aureus |
| NAMCS | National Ambulatory Medical Care Survey |
| NDM | New Delhi Metallo-β-lactamase |
| NHAMCS | National Hospital Ambulatory Medical Care Survey |
| OECD | Organisation for Economic Co-operation and Development |
| OR | Odds Ratio |
| OXA-48 | Oxacillinase-48-type Carbapenemase |
| PCV | Pneumococcal Conjugate Vaccine |
| PICU | Pediatric Intensive Care Unit |
| PK | Pharmacokinetics |
| PPS | Point-Prevalence Survey |
| QRDR | Quinolone Resistance-Determining Region |
| UTI | Urinary Tract Infection |
| VAP | Ventilator-Associated Pneumonia |
| VRE | Vancomycin-Resistant Enterococcus |
| WGS | Whole-Genome Sequencing |
| WHO | World Health Organization |
| WMD | Weighted Mean Difference |
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| Pathogen / Phenotype | Setting / Population | Reported Finding | Reference |
|---|---|---|---|
| 3GCR Enterobacterales (Gram-negative BSI) | 5 Australian children's hospitals (2019-2021); 931 episodes, 818 children | 22% (138/630) of Enterobacterales isolates resistant to 3GC; bla(CTX-M-15) is the most common ESBL gene (36%); aOR 3.2 (95% CI 1.6–6.4) for mortality with 3GCR | [9] |
| 3GCR & ESBL Enterobacterales (national surveillance) | U.S. national surveillance, 1999-2011; 368,398 pediatric isolates | 3GCR prevalence rose from 1.39% (1999-2001) to 3.0% (2010-2011); ESBL phenotype from 0.28% to 0.92%; 74% of ESBL isolates were resistant to ≥3 antibiotic classes | [21] |
| ESBL-producing E. coli/K. pneumoniae (UTI) | Tertiary center, Taiwan (2017–2021); 327 hospitalized children | ESBL prevalence 14.1%; recent antibiotic exposure within 6 months and preterm gestational history were independent risk factors; longer length of stay (β 2.85 days) and ICU stay (β 5.86 days) | [22] |
| E. coli pediatric UTI (community-acquired) | Systematic review/meta-analysis, 58 studies, 77,783 isolates | OECD vs non-OECD pooled resistance: ampicillin 53.4% vs 79.8%; co-amoxiclav 8.2% vs 60.3%; ciprofloxacin 2.1% vs 26.8%; nitrofurantoin 1.3% vs 17.0% | [23] |
| Carbapenem-resistant K. pneumoniae | Single-center, China (2018-2021); 70 children | 30-day mortality 39.4% in neonates, 43.2% in older children; appropriate targeted therapy associated with reduced mortality | [24] |
| MRSA/Carbapenem-resistant GNB / VRE | Multinational pediatric oncology / HSCT cohort (2015-2017); 1,031 patients, 1,291 BSI episodes | 17% methicillin resistance in S. aureus; 9% meropenem resistance in Gram-negatives; 40% vancomycin resistance in E. faecium; prior carbapenem exposure associated with resistant Gram-negative BSI | [25] |
| Multi-drug resistant Gram-negatives in neonatal sepsis | BARNARDS network, 7 LMICs, 36,285 neonates enrolled, 916 isolates sequenced | K. pneumoniae leading sepsis pathogen; isolates harbored multiple cephalosporin and carbapenem resistance genes; all isolated pathogens were resistant to multiple antibiotic classes, including those used in neonatal sepsis | [14] |
| Pediatric Gram-negative sepsis in LMICs | Systematic review, 30 studies, 71,326 children (Asia & Africa) | Neonatal K. pneumoniae median resistance: ampicillin 94% (Asia) / 100% (Africa); cephalosporins 84% (Asia) / 50% (Africa); MDR Salmonella spp. median 30% (IQR 0–59.6) Asia, 75% (IQR 30–85.4) Africa | [13] |
| MDR organisms (overall) | Tertiary hospital, Saudi Arabia (2021–2022); pediatric cultures | MDROs in 42% of patients with positive cultures; K. pneumoniae most common (39.5% of MDR cultures); 32.4% mortality with MDROs vs 3.9% without | [11] |
| MDR Gram-negative BSI | Single-center, Türkiye (2022); 102 children, 123 cultures | 28.5% MDR among isolates; 17.1% mortality in resistant cases vs 10.5% overall; urinary catheter independent predictor of mortality (OR 5.68) | [10] |
| MDR Salmonella Typhi (H58) | Febrile children, Nairobi County, Kenya; 120 isolates | 50% MDR; 65.6% ampicillin resistance; 67.6% with QRDR mutations conferring reduced ciprofloxacin susceptibility | [15] |
| Invasive MRSA in children | U.S. population-based surveillance, 2005-2010; 876 cases | Estimated invasive MRSA incidence 43.9/100,000 in infants <90 days vs 2.0/100,000 in older children; CA-MRSA incidence rose 10.2% per year (95% CI 2.7-18.2) | [26] |
| Macrolide-resistant Mycoplasma pneumoniae pneumonia | Meta-analysis, 11 studies, 1,143 children (East Asia) | Tetracyclines superior to macrolides for fever duration (WMD 1.64 days), hospital stay (WMD 1.22 days), and therapeutic efficacy (OR 0.33 for macrolide vs tetracycline) | [27] |
| Amoxicillin-resistant oral bacteria | Children aged 4–5 years (community); 40 children, 224 isolates | 100% carriage; median resistant proportion 2.4% without recent amoxicillin vs 10.9% after recent use (P<0.01); 65% of resistant isolates were also resistant to at least one of three antibiotics: penicillin/erythromycin/tetracycline | [8] |
| Pediatric AMR (general) | Tertiary pediatric hospital, Romania, 1-year retrospective; 1,445 isolates | Range of resistance phenotypes, including ESBL-producing Gram-negatives and MRSA in pediatric inpatient isolates | [28] |
| Pediatric AMR in a conflict setting | Damascus Hospital, Syria; 116 children, 177 cultures | Most prevalent organisms: S. aureus (33%), Enterobacter (21%); highest resistance to 3GC and ceftriaxone (70% use); 51% nosocomial infections; 16% mortality | [16] |
| Stewardship strategy | Evidence (validated source) | Implementation note |
|---|---|---|
| Prospective audit with feedback | 30-month quasi-experimental study at a U.S. children's hospital reviewing 10,460 antibiotic courses; 92% compliance with recommendations; 17-18% decline in days-of-therapy and length-of-therapy per 1,000 patient-days for selected antibiotics [46]. | Requires dedicated ID pharmacist and physician time; sustainable in tertiary children's hospitals. |
| AWaRe-classification monitoring | 1-day point-prevalence surveys in 56 countries (23,572 patients) demonstrated wide global variation in Access vs Watch vs Reserve antibiotic use in hospitalized children [6]; ARPEC global PPS in 73 hospitals showed pediatric and neonatal antibiotic-use rates significantly higher in non-European hospitals than European hospitals [5]. | Useful as a simple traffic-light metric for tracking appropriateness over time and benchmarking institutions. |
| Outpatient diagnostic and prescribing stewardship | U.S. national analysis (NAMCS/NHAMCS 2010–2011) estimated that of 506 outpatient antibiotic prescriptions per 1,000 population, only 353 were appropriate; respiratory tract infections accounted for the largest share of inappropriate prescribing [7]. Routine antibiotic prescribing in primary care increases the odds of subsequent resistance by up to 13.2-fold for up to six months [23]. | Targets respiratory infections, otitis media, pharyngitis; can leverage parent-facing communication training and clinical decision support. |
| ASP impact in resource-limited pediatric settings | Asia-Pacific narrative review [12] documents successful local ASP and infection-prevention initiatives that reduced antibiotic overuse in specific settings, while emphasizing infrastructure barriers in many LMICs. | Implementation must be tailored to local microbiology capacity and antibiotic supply chains. |
| ASP impact in resource-limited pediatric settings | The Peruvian multicenter study [29] suggests that institutional stewardship maturity can significantly influence both resistance prevalence and patient outcomes. | Investments in stewardship infrastructure may yield measurable reductions in ESBL burden, mortality, and hospital resource utilization. |
| Diagnostic stewardship and rapid molecular testing | A recent narrative review of metagenomic next-generation sequencing and machine-learning–assisted susceptibility prediction in pediatric infections highlights the potential to shorten time to targeted therapy, while noting genotype–phenotype discordance and implementation barriers [47]. | Most useful when paired with a prospective audit so genotype-driven recommendations reach clinicians in real time. |
| Agent | Class / mechanism | Spectrum (per cited reviews) | Pediatric status (per cited reviews) |
|---|---|---|---|
| Ceftazidime-avibactam | 3rd-gen cephalosporin + non-β-lactam β-lactamase inhibitor | ESBL-, AmpC-, KPC- and OXA-48-like-producing Enterobacterales; not active vs MBLs | Pediatric pharmacokinetic data and use [32,48,49,50,51] |
| Ceftolozane-tazobactam | Antipseudomonal cephalosporin + β-lactamase inhibitor | MDR Pseudomonas aeruginosa, ESBL Enterobacterales | Pediatric PK data [32,52,53,54] |
| Meropenem-vaborbactam | Carbapenem + boronate β-lactamase inhibitor | KPC-producing Enterobacterales; not active vs MBLs | Pediatric data [32,55,56,57] |
| Imipenem-cilastatin-relebactam | Carbapenem + diazabicyclooctane β-lactamase inhibitor | KPC-producing Enterobacterales, MDR P. aeruginosa | Pediatric data limited; [32,58] |
| Cefiderocol | Siderophore cephalosporin | CRE including MBLs, MDR P. aeruginosa, Acinetobacter baumannii | Pediatric data limited [32,59,60,61] |
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