ArticleMicroorganisms2020
Extensive Therapeutic Drug Monitoring of Colistin in Critically Ill Patients Reveals Undetected Risks.
Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Pharmacokinetics and Renal Safety Evaluation of Colistin Methanesulfonate Sodium in Korean Healthy Male Volunteers: An Open-Label, Multiple-Dose Study.Drug design, development and therapy · 2026Trial
- Colistin Resistance in Bacteria: Current Updates on Mechanism of Action and Combating Strategies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Review
- Understanding antimicrobial pharmacokinetics in critically ill patients to optimize antimicrobial therapy: A narrative review.Journal of intensive medicine · 2024Review
- Colistin: Lights and Shadows of an Older Antibiotic.Molecules (Basel, Switzerland) · 2024Review
- Optimization of Therapy and the Risk of Probiotic Use during Antibiotherapy in Septic Critically Ill Patients: A Narrative Review.Medicina (Kaunas, Lithuania) · 2023Review
- Challenges of Colistin Use in ICU and Therapeutic Drug Monitoring: A Literature Review.Antibiotics (Basel, Switzerland) · 2023Review
- Pharmacokinetic Characteristics of Nebulized Colistimethate Sodium Using Two Different Types of Nebulizers in Critically Ill Patients with Ventilator-Associated Respiratory Infections.Antibiotics (Basel, Switzerland) · 2022Article
- Carbapenem-resistantFrontiers in microbiology · 2022Review
- Estimation of the Difference in Colistin Plasma Levels in Critically Ill Patients with Favorable or Unfavorable Clinical Outcomes.Pharmaceutics · 2021Article
- Editorial for Special Issue "Multidrug-Resistant Pathogens".Microorganisms · 2020Article
- Vancomycin and daptomycin modulate the innate immune response in a murine model of LPS-induced sepsis.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: With the rise of multi-/pan-drug resistant (MDR/PDR) pathogens, the less utilized antibiotic Colistin has made a comeback. Colistin fell out of favor due to its small therapeutic range and high potential for toxicity. Today, it is used again as a last resort substance in treating MDR/PDR pathogens. Although new guidelines with detailed recommendations for Colistin dosing are available, finding the right dose in critically ill patients with renal failure remains difficult. Here, we evaluate the efficiency of the current guidelines' recommendations by using high resolution therapeutic drug monitoring of Colistin. (2) Methods: We analyzed plasma levels of Colistin and its prodrug colisthimethate sodium (CMS) in 779 samples, drawn from eight PDR-infected ICU patients, using a HPLC-MS/MS approach. The impact of renal function on proper Colistin target levels was assessed. (3) Results: CMS levels did not correlate with Colistin levels. Over-/Underdosing occurred regardless of renal function and mode of renal replacement therapy. Colistin elimination half-time appeared to be longer than previously reported. (4) Conclusion: Following dose recommendations from the most current guidelines does not necessarily lead to adequate Colistin plasma levels. Use of Colistin without therapeutic drug monitoring might be unsafe and guideline adherence does not warrant efficient target levels in critically ill patients.
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Registered trials
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.