A Prediction Tool for the Presence of Ceftriaxone-Resistant Uropathogens upon Hospital Admission.

Antimicrobial resistance among uropathogens is a particularly pressing problem in the Asia-Pacific region. The objectives of this study were to determine the incidence and susceptibility of uropathogens upon hospital admission and to develop a risk-scoring model to predict the presence of ceftriaxone-resistance uropathogens (CrP). This was a retrospective observational cohort study of patients with a positive urine culture within 48 h of presentation at National University Hospital, Singapore between June 2015 and August 2015. Escherichia coli was the most common uropathogen isolated (51.7%), followed by Klebsiella pneumonia (15.1%) and Pseudomonas aeruginosa (8.2%). Overall, 372 out of 869 isolates (42.8%) were resistant to ceftriaxone. Hospitalization for ≥2 days within past 30 days, antibiotic use within the past 3 months and male gender were associated with the presence of CrP. A risk score based on these parameters successfully predicted CrP with an area under the curve of 0.68. The risk score will help clinicians to accurately predict antibiotic resistance at the individual patient level and allow physicians to safely prescribe empiric ceftriaxone in patients at low risk of CrP, thus reducing the antibiotic selection pressure that is driving carbapenem resistance in hospitals throughout Asia.

Integrated pharmacokinetic-pharmacodynamic modeling to evaluate empiric carbapenem therapy in bloodstream infections.

OBJECTIVES: Treatment for nosocomial bloodstream infections (BSI) caused by multidrug-resistant (MDR) Gram-negative bacteria (GNB) is challenging. Rising antimicrobial resistance, especially in extended spectrum beta-lactamase production, inadvertently increases empiric carbapenem consumption. Three antipseudomonal carbapenems (imipenem, meropenem [MER], and doripenem [DOR]) are available commercially against MDR GNB in Singapore. The study aims to determine the most optimal empiric carbapenem dosing regimens (CDR) and evaluate their cost-effectiveness for GNB-BSI in the face of increasing MDR GNB. METHODS: Carbapenem minimum inhibitory concentrations (MICs) were generated for non-repeat GNB-BSI obtained in 2013-2014 from two hospitals. Monte Carlo simulations were used to assess the cumulative fraction of response (CFR) of various CDRs using the percentage of time above MIC for 40% (%T > MIC of 40%) as the pharmacokinetic (PK)-pharmacodynamic (PD) parameter for efficacy. Carbapenem costs were based on patient antibiotic costs. Antibiotic cost-effectiveness was calculated as total daily drug cost/CFR. RESULTS: A total of 1,140 bloodstream isolates were collected. They comprised 116 Acinetobacter baumannii, 237 Pseudomonas aeruginosa, and 787 Enterobacteriaceae. All CDRs achieved ~40, ~80, and ≥90% CFRs against A. baumannii, P. aeruginosa, and Enterobacteriaceae, respectively. Against P. aeruginosa, MER 2 g every 8 h infused over 3 h and DOR 1 g every 8 h infused over 4 h achieved CFRs 84 and 81%, respectively. Against Enterobacteriaceae, the cost of MER 2 g every 8 h infused over 3 h was the lowest among the three carbapenems at $0.40/percentage of CFR. CONCLUSION: This study demonstrates the utility of PK-PD modeling to formulate the optimal selection of a cost-effective empiric CDR in antibiotics guidelines and formulary inclusion. The findings support the selection of high MER doses of prolonged infusions as empiric coverage for GNB-BSI in our institutions.