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Tze-Peng Lim

Researcher at Singapore General Hospital

Publications -  46
Citations -  1164

Tze-Peng Lim is an academic researcher from Singapore General Hospital. The author has contributed to research in topics: Polymyxin B & Acinetobacter baumannii. The author has an hindex of 18, co-authored 42 publications receiving 991 citations. Previous affiliations of Tze-Peng Lim include National University of Health Sciences & National University of Singapore.

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Antibacterial and antifouling catheter coatings using surface grafted PEG-b-cationic polycarbonate diblock copolymers.

TL;DR: Polymer coatings with the optimal polymer composition possessed significantly higher antifouling activity than PEG coating, and scanning electron microscopic studies showed that the polymer coating inhibited S. aureus biofilm formation over a period of 7 days.
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Pharmacokinetics of polymyxin B1 in patients with multidrug-resistant Gram-negative bacterial infections

TL;DR: This is the 1st case series to date in which the pharmacokinetics of polymyxin B1 after intravenous administration are described, and the results in conjunction with pharmacodynamic and susceptibility surveillance studies could facilitate an approach to the design of optimal dosing regimens.
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In-vitro activity of polymyxin B, rifampicin, tigecycline alone and in combination against carbapenem-resistant Acinetobacter baumannii in Singapore.

TL;DR: It is demonstrated that in-vitro synergy of antibiotic combinations in CR AB may be strain dependant, which may guide us in choosing a pre-emptive therapy for CR AB infections and warrants further investigations.
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Effective antibiotics in combination against extreme drug-resistant Pseudomonas aeruginosa with decreased susceptibility to polymyxin B.

TL;DR: Bactericidal activity with sustained killing effect of ≥99.9% is critical for eradicating XDR-PA infections, especially in immunocompromised hosts, demonstrating that at least 3 antibiotics are required in combination and that efficacy is strain dependant.
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Pharmacodynamic Modeling of Aminoglycosides against Pseudomonas aeruginosa and Acinetobacter baumannii: Identifying Dosing Regimens To Suppress Resistance Development

TL;DR: The mathematical model was reasonable in predicting extended bacterial responses to various aminoglycoside exposures qualitatively, based on limited input data, and appears promising as a decision support tool for dosing regimen selection for antimicrobial agents.