# Antimicrobial Pharmacokinetic and Pharmacodynamic Considerations in Special Populations: A Call to Action

**Authors:** Marguerite L Monogue, James M Sanders, Nicholas J Mercuro, Crystal K Hodge, Esther Golnabi, Tyla Carettini, Christina F Yen, James B Cutrell

PMC · DOI: 10.1093/ofid/ofag093 · Open Forum Infectious Diseases · 2026-03-03

## TL;DR

This paper emphasizes the need to improve antimicrobial dosing in special patient groups by addressing pharmacokinetic and pharmacodynamic variability.

## Contribution

The paper calls for inclusive clinical trials and precision dosing to address underrepresented PK/PD data in special populations.

## Key findings

- Special populations often face suboptimal antimicrobial dosing due to PK/PD variability.
- Current data gaps hinder effective treatment in patients with conditions like obesity and renal dysfunction.
- Improved modeling and real-world data collection are needed to enhance treatment outcomes.

## Abstract

Pharmacokinetic (PK) and pharmacodynamic (PD) variability in special populations can impact antimicrobial efficacy and safety. This review highlights the importance of PK/PD optimization in patients known to have altered PK, including those with obesity, cystic fibrosis, renal dysfunction, critical illness, transplantation, pregnancy, and/or significant burns. Historically, PK/PD data are underrepresented in these populations, leading to suboptimal dosing recommendations and increased risks of therapeutic failure or toxicity. Herein, we discuss key physiological alterations affecting antimicrobial PK/PD, regulatory challenges, and currently available solutions. To bridge these knowledge gaps, we advocate for broader patient inclusion in clinical trials, improved PK modeling, real-world data collection, and increased investment in precision dosing strategies. Addressing these issues has the potential to enhance patient outcomes, reduce antimicrobial resistance, and improve infectious diseases management. This review serves as a call to action for researchers, clinicians, and policymakers to prioritize PK/PD research in special patient populations.

This review highlights the need to optimize antimicrobial pharmacokinetics and pharmacodynamics in special populations, including those with critical illness, renal impairment, obesity, and cystic fibrosis. A call is made for inclusive clinical trial designs, enhanced therapeutic drug monitoring, precision dosing strategies, and policy-driven incentives to address current data gaps and improve clinical outcomes.

## Linked entities

- **Diseases:** obesity (MONDO:0011122), cystic fibrosis (MONDO:0009061)

## Full-text entities

- **Genes:** CFTR (CF transmembrane conductance regulator) [NCBI Gene 1080] {aka ABC35, ABCC7, CF, CFTR/MRP, MRP7, TNR-CFTR}, CYP2C19 (cytochrome P450 family 2 subfamily C member 19) [NCBI Gene 1557] {aka CPCJ, CYP2C, CYPIIC17, CYPIIC19, P450C2C, P450IIC19}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CYP3A5 (cytochrome P450 family 3 subfamily A member 5) [NCBI Gene 1577] {aka CP35, CYPIIIA5, P450PCN3, PCN3}
- **Diseases:** TDM (MESH:D000081015), critical illness (MESH:D016638), Toxicity (MESH:D064420), diabetes (MESH:D003920), ventilator-associated pneumonia (MESH:D053717), thermal injury (MESH:D020886), infected (MESH:D007239), septic shock (MESH:D012772), end-organ damage (MESH:C564816), hypoalbuminemia (MESH:D034141), myocardial depression (MESH:D003866), OBESITY (MESH:D009765), pneumonia (MESH:D011014), ARC (MESH:D006030), bacterial (MESH:D001424), Renal Disease (MESH:D007674), DYSFUNCTION (MESH:D006331), MRSA (MESH:D013203), bacterial community-acquired pneumonia (MESH:D003147), hypertension (MESH:D006973), Burn (MESH:D002056), Infectious Diseases (MESH:D003141), intestinal inflammation (MESH:D007249), cardiorespiratory failure (MESH:D051437), CKD (MESH:D051436), MDROs (MESH:D018088), urinary tract infections (MESH:D014552), pulmonary exacerbations (MESH:D018450), AKI (MESH:D058186), ACTION (MESH:D009207), bacterial pneumonia (MESH:D018410), HYPERFUNCTION (MESH:D000308), bloodstream infections (MESH:D018805), CF (MESH:D003550), ILLNESS (MESH:D002908)
- **Chemicals:** ceftriaxone (MESH:D002443), cefiderocol (MESH:C000612166), ceftaroline (MESH:C490727), beta-lactams (MESH:D047090), lipid (MESH:D008055), ceftolozane-tazobactam (MESH:C000594038), meropenem-vaborbactam (MESH:C000654127), ceftazidime (MESH:D002442), cefepime (MESH:D000077723), eravacycline (MESH:C571179), ABX (-), methicillin (MESH:D008712), Darunavir (MESH:D000069454), fatty acid (MESH:D005227), lefamulin (MESH:C000591018), tobramycin (MESH:D014031), Triazole (MESH:D014230), linezolid (MESH:D000069349), tigecycline (MESH:D000078304), creatinine (MESH:D003404), glycopeptides (MESH:D006020), ceftobiprole (MESH:C443755), piperacillin-tazobactam (MESH:D000077725), aminoglycosides (MESH:D000617), vancomycin (MESH:D014640), daptomycin (MESH:D017576), echinocandins (MESH:D054714), fluoroquinolones (MESH:D024841), doripenem (MESH:D000077726)
- **Species:** Homo sapiens (human, species) [taxon 9606], Staphylococcus aureus (species) [taxon 1280], gut metagenome (species) [taxon 749906], Streptococcus pneumoniae (species) [taxon 1313]

## Full text

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## Figures

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## References

204 references — full list in the complete paper: https://tomesphere.com/paper/PMC12996921/full.md

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Source: https://tomesphere.com/paper/PMC12996921