Evidence map›Paper›PMID 40524377›Full record

Observational studyClinical pharmacology and therapeutics2025

Population Pharmacokinetic/Toxicodynamic Model for Polymyxin B in Critically Ill Patients to Identify the Risk of Nephrotoxicity.

Patrick O Hanafin, Ramya Mahadevan, Gauri G Rao, Alexandre P Zavascki, Ana Maria Sandri, Andrea Kwa, Marc H Scheetz, Christine J Kubin, Jayesh Shah, Benjamin P Z Cherng and 10 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Patrick O Hanafin *Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Ramya Mahadevan *Titus Family Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0009-0008-3951-1146
Gauri G Rao *Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-8704-7770
Alexandre P ZavasckiInfectious Diseases Service, Hospital Moinhos de Vento, Porto Alegre, Brazil.ORCID 0000-0001-5331-4837
Ana Maria SandriInfectious Disease Service, Hospital São Lucas da Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
Andrea KwaDepartment of Pharmacy, Singapore General Hospital, Singapore City, Singapore.
Marc H ScheetzDepartment of Pharmacy Practice, Midwestern University Chicago College of Pharmacy, Downers Grove, Illinois, USA.ORCID 0000-0002-1091-6130
Christine J KubinNew York-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Jayesh ShahDivision of Infectious Diseases, Department of Internal Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
Benjamin P Z CherngDepartment of Infectious Diseases, Singapore General Hospital, Singapore City, Singapore.
Michael T YinDivision of Infectious Diseases, Department of Internal Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
Jiping WangBiomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
Lu WangBiomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
David P CalfeeWeill Cornell Medical College, New York, New York, USA.
Maureen BolonDepartment of Healthcare Epidemiology and Infection Prevention, Northwestern Memorial Hospital, Chicago, Illinois, USA.
Anthony W PurcellBiomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
Roger L NationDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia.ORCID 0000-0003-1492-8590
Jason M PogueDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
Jian LiBiomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-7953-8230
Keith S KayeDivision of Allergy, Immunology and Infectious Diseases, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

Funding

Optimizing Clinical Use of Polymyxin B: Teaching an Old Drug to Treat SuperbugsR01AI119446 · NIAID · WAYNE STATE UNIVERSITY · PI LI, JIAN, POGUE, JASON MICHAEL · 2015 to 2019
$5.0M
Pharmacology of intrathecal/intraventricular polymyxins: A systems-based approachR01AI146241 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAYE, KEITH S, RAO, GAURI G · 2019 to 2023
$3.0M
NIAID NIH HHS R01 AI119446NIAID NIH HHS R01 AI146241NIH HHS R01 AI119446
6 · The paper itself

Abstract

Polymyxins are used against highly resistant Gram-negative pathogens, and nephrotoxicity (acute kidney injury, AKI) is the major dose-limiting adverse effect. We aimed to develop a well-informed population pharmacokinetic/toxicodynamic (PK/TD) model using the largest polymyxin B-treated critically ill patient population studied to inform polymyxin B dosing strategies. Critically ill patients receiving intravenous polymyxin B for at least 48 hours were enrolled in an observational study. Serum creatinine (SCr) concentrations were collected from electronic medical records. PK/TD analysis and Monte Carlo simulations were performed to determine the probability of AKI, P(AKI), for clinically relevant treatments. Patients (N = 117) aged 18-94 received intravenous polymyxin B (1.33-6.00 mg/kg/day) for 1-50 days. The changes in SCr were described using an indirect response model. The effects of polymyxin B-induced functional kidney injury were characterized using 9 transit compartments (mean time to onset ~7 days), leading to a reduction in SCr elimination. Sex was identified as a significant covariate for baseline SCr

Indexed as

Acute Kidney InjuryAnti-Bacterial AgentsModels, BiologicalPolymyxin BAdolescentAdultAgedAged, 80 and overCreatinineCritical IllnessFemaleHumansMaleMiddle AgedMonte Carlo MethodRisk AssessmentAnti-Bacterial AgentsCreatininePolymyxin B

Identifiers

PMID40524377
PMCPMC12353974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.