The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Pharmacokinetic issues for antibiotics in the critically ill patient
Abstract
OBJECTIVE: To discuss the altered pharmacokinetic properties of selected antibiotics in critically ill patients and to develop basic dose adjustment principles for this patient population. DATA SOURCES: PubMed, EMBASE, and the Cochrane-Controlled Trial Register. STUDY SELECTION: Relevant papers that reported pharmacokinetics of selected antibiotic classes in critically ill patients and antibiotic pharmacodynamic properties were reviewed. Antibiotics and/or antibiotic classes reviewed included aminoglycosides, beta-lactams (including carbapenems), glycopeptides, fluoroquinolones, tigecycline, linezolid, lincosamides, and colistin. DATA SYNTHESIS: Antibiotics can be broadly categorized according to their solubility characteristics which can, in turn, help describe possible altered pharmacokinetics that can be caused by the pathophysiological changes common to critical illness. Hydrophilic antibiotics (e.g., aminoglycosides, beta-lactams, glycopeptides, and colistin) are mostly affected with the pathphysiological changes observed in critically ill patients with increased volumes of distribution and altered drug clearance (related to changes in creatinine clearance). Lipophilic antibiotics (e.g., fluoroquinolones, macrolides, tigecycline, and lincosamides) have lesser volume of distribution alterations, but may develop altered drug clearances. Using antibiotic pharmacodynamic bacterial kill characteristics, altered dosing regimens can be devised that also account for such pharmacokinetic changes. CONCLUSIONS: Knowledge of antibiotic pharmacodynamic properties and the potential altered antibiotic pharmacokinetics in critically ill patients can allow the intensivist to develop individualized dosing regimens. Specifically, for renally cleared drugs, measured creatinine clearance can be used to drive many dose adjustments. Maximizing clinical outcomes and minimizing antibiotic resistance using individualized doses may be best achieved with therapeutic drug monitoring.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Kumar, A., Roberts, D., Wood, K. E., Light, B., Parrillo, J. E., Sharma, S., Suppes, R., Feinstein, D., Zanotti, S., Taiberg, L., et al. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000217961.75225.e9 · Cited by 6,109
Inadequate Antimicrobial Treatment of Infections
Kollef, M. H., Sherman, G., Ward, S., & Fraser, V. J. (1999) · Chest · doi:10.1378/chest.115.2.462 · Cited by 1,805
Pathogenetic Mechanisms of Septic Shock
Epstein, F. H., & Parrillo, J. E. (1993) · New England Journal of Medicine · doi:10.1056/nejm199305203282008 · Cited by 1,548
Generalized vascular permeability and pulmonary function in patients following serious trauma
Gosling, P., Sanghera, K., & Dickson, G. (1994) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-199404000-00002 · Cited by 97 · cited 1×
“This capillary leak syndrome results in fluid shifts from the intravascular compartment to the interstitial space (15, 16).”
Background
Cited by
Kalil, A. C., Metersky, M. L., Klompas, M., Muscedere, J., Sweeney, D. A., Palmer, L. B., Napolitano, L. M., O'Grady, N. P., Bartlett, J. G., Carratalà, J., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw353 · Cited by 3,892
Self-citationRoberts, J. A., Abdul-Aziz, M. H., Lipman, J., Mouton, J. W., Vinks, A. A., Felton, T. W., Hope, W. W., Farkas, A., Neely, M. N., Schentag, J. J., et al. (2014) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(14)70036-2 · Cited by 1,046
Self-citationThe effects of hypoalbuminaemia on optimizing antibacterial dosing in critically ill patients.
Ulldemolins, M., Roberts, J. A., Rello, J., Paterson, D. L., & Lipman, J. (2011) · Clinical Pharmacokinetics · doi:10.2165/11539220-000000000-00000 · Cited by 469
Self-citationAugmented Renal Clearance: Implications for Antibacterial Dosing in the Critically Ill
Udy, A. A., Roberts, J. A., Boots, R. J., Paterson, D. L., & Lipman, J. (2010) · Clinical Pharmacokinetics · doi:10.2165/11318140-000000000-00000 · Cited by 377
Self-citationTherapeutic drug monitoring of β-lactams in critically ill patients: proof of concept
Roberts, J. A., Ulldemolins, M., Roberts, M. S., McWhinney, B., Ungerer, J., Paterson, D. L., & Lipman, J. (2010) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2010.06.008 · Cited by 334
Self-citation
Metadata
- Authors
- Roberts, J. A., & Lipman, J.
- Venue
- Critical Care Medicine
- Published
- 2009-03
- Volume
- 37
- Issue
- 3
- Pages
- 840-851
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2082321986
- Cited by
- 862
- References
- 5
- FWCI
- 32.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pharmacokinetic issues for antibiotics in the critically ill patient. https://app.cochat.ai/papers/10.1097/ccm.0b013e3181961bff
- The paper
- Roberts, J. A., & Lipman, J. (2009). Pharmacokinetic issues for antibiotics in the critically ill patient. Critical Care Medicine. https://doi.org/10.1097/ccm.0b013e3181961bff
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
