# Advances in pharmacokinetic-pharmacodynamic modeling for anesthesia, 1987–2024: a review

**Authors:** Yara Tulbah, Ibrahim Aljamaan

PMC · DOI: 10.3389/fphar.2026.1741851 · Frontiers in Pharmacology · 2026-02-02

## TL;DR

This paper reviews the development of pharmacokinetic-pharmacodynamic models for anesthesia from 1987 to 2024, highlighting key advancements and future directions.

## Contribution

The paper provides a comprehensive review of PKPD anesthetic models, emphasizing recent innovations and identifying limitations in current techniques.

## Key findings

- Early contributions include the 'pharmacokinetic mass' concept for fentanyl in obese patients.
- Recent developments involve multi-input control strategies for managing anesthesia depth with propofol and remifentanil.
- Innovative scaling techniques in the propofol model improve dose accuracy for severe obesity.

## Abstract

In the field of individualized anesthesia, pharmacokinetic-pharmacodynamic (PKPD) models are crucial as they assist in determining the appropriate dosage for various patient groups. This research reviews the development of primary PKPD anesthetic models proposed in the literature from 1987 to 2024. The results from 33 studies are combined, offering a range of concepts from the earliest contributions, such as the “pharmacokinetic mass” concept of Shibutani et al. for fentanyl in obese patients, to the most recent developments in multi-input control strategies for managing anesthesia depth with propofol and remifentanil. Recent advancements are also discussed, including the propofol model proposed by Braathen et al. for severe obesity, which employs innovative scaling techniques to enhance dose accuracy. This study examines physiologically based modeling approaches, reviews traditional compartmental models, and highlights the use of nonlinear mixed-effects modeling. The review concludes by outlining future research aimed at creating more individualized, closed-loop anesthetic delivery systems, emphasizing significant developments in PKPD modeling and identifying limitations in the existing techniques.

## Linked entities

- **Chemicals:** fentanyl (PubChem CID 3345), propofol (PubChem CID 4943), remifentanil (PubChem CID 60815)

## Full-text entities

- **Genes:** ADGRL1 (adhesion G protein-coupled receptor L1) [NCBI Gene 22859] {aka CIRL1, CL1, DEDBANP, LEC2, LPHN1}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CP (ceruloplasmin) [NCBI Gene 1356] {aka AB073614, CP-2}
- **Diseases:** tumor (MESH:D009369), loss of consciousness (MESH:D014474), toxicity (MESH:D064420), critically ill (MESH:D016638), inflammation (MESH:D007249), circulatory collapse (MESH:D012769), CL (MESH:D002971), DOH (MESH:D007222), loss of pain perception (MESH:D010146), loss of memory (MESH:D008569), Neuromuscular blockade (MESH:D020879), frontal brain tumors (MESH:D001932), burn (MESH:D002056), overdose (MESH:D062787), obese (MESH:D009765), inflammatory bowel diseases (MESH:D015212), respiratory depression (MESH:D012131), delirium (MESH:D003693)
- **Chemicals:** dexmedetomidine (MESH:D020927), ropivacaine (MESH:D000077212), alfentanil (MESH:D015760), BIS (-), midazolam (MESH:D008874), thiopental (MESH:D013874), Atracurium (MESH:D001279), propofol (MESH:D015742), buprenorphine (MESH:D002047), etomidate (MESH:D005045), Remifentanil (MESH:D000077208), PPX (MESH:C509139), carotenoids (MESH:D002338), polyphenols (MESH:D059808), fentanyl (MESH:D005283)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** 118 A > G

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12933200/full.md

## References

133 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933200/full.md

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Source: https://tomesphere.com/paper/PMC12933200