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Background An intervention for Gram-negative bloodstream infections that integrated mass spectrometry technology for rapid diagnosis with antimicrobial stewardship oversight significantly improved patient outcomes and reduced hospital costs. As antibiotic resistance rates continue to grow at an alarming speed, the current study was undertaken to assess the impact of this intervention in a challenging patient population with bloodstream infections caused by antibiotic-resistant Gram-negative bacteria. Methods A total of 153 patients with antibiotic-resistant Gram-negative bacteremia hospitalized prior to the study intervention were compared to 112 patients treated post-implementation. Outcomes assessed included time to optimal antibiotic therapy, time to active treatment when inactive, hospital and intensive care unit length of stay, all-cause 30-day mortality, and total hospital expenditures. Results Integrating rapid diagnostics with antimicrobial stewardship improved time to optimal antibiotic therapy (80.9 h in the pre-intervention period versus 23.2 h in the intervention period, P < 0.001) and effective antibiotic therapy (89.7 h versus 32 h, P < 0.001). Patients in the pre-intervention period had increased duration of hospitalization compared to those in the intervention period (23.3 days versus 15.3 days, P = 0.0001) and longer intensive care unit length of stay (16 days versus 10.7 days, P = 0.008). Mortality among patients during the intervention period was lower (21% versus 8.9%, P = 0.01) and our study intervention remained a significant predictor of survival (OR, 0.3; 95% confidence interval [CI], 0.12-0.79) after multivariate logistic regression. Mean hospital costs for each inpatient survivor were reduced $26,298 in the intervention cohort resulting in an estimated annual cost savings of $2.4 million (P = 0.002). Conclusions Integration of rapid identification and susceptibility techniques with antimicrobial stewardship resulted in significant improvements in clinical and financial outcomes for patients with bloodstream infections caused by antibiotic-resistant Gram-negatives. The intervention decreased hospital and intensive care unit length of stay, total hospital costs, and reduced all-cause 30-day mortality. [ABSTRACT FROM AUTHOR]

Introduction: Microbiology culture is the “gold standard” for diagnosis of fungal infections; however, culture has a lengthy turnaround time. A more timely assessment is possible with cytology and Gomori-methamine silver (GMS) staining. Materials and methods: A total of 100 respiratory tract specimens with a positive fungal Gomori-methamine silver stain and corresponding culture were selected. The cytology slides were reviewed for factors contributing to discrepant results. Specimens were classified as 2 types of variances: interpretative and sampling. Concordant diagnoses were also evaluated. Results: Eighty-two cases had fungal organisms that grew in culture. The remaining 18 cases were composed solely of fungal organisms that did not grow in culture (17 cases with Pneumocystis jirovecii; 1 case with Pityrosporum ovale). These 18 cases were excluded from the variance analysis. Thirty-three of 82 cases (40%) had concordant cytology and microbiology results, whereas 49 cases were discrepant. Variances were both sampling (41 cases) and interpretive (8 cases). Interpretive variances were predominantly Aspergillus species misinterpreted as Candida. Difficulty identifying true septate hyphae was the major contributing factor for misinterpretation. Conclusions: Cytologic evaluation of respiratory specimens remains a useful preemptive diagnostic tool in the rapid diagnosis of fungal infection. Cytology samples significantly contribute to the diagnosis of respiratory fungi. However, interpretive variances between Aspergillus and Candida organisms are common. Awareness of the characteristic features that distinguish fungal organisms can further improve the diagnostic utility of cytology. [Copyright &y& Elsevier]

Abstract: Validation of the MycoAlign assay, a newly developed Mycobacterium spp. identification system based on internal transcribed spacer-1 sequencing, was performed using 50 acid-fast bacilli (AFB)–positive clinical laboratory specimens. Forty-three (86%) diagnostic-level results were obtained, including 38 Mycobacterium spp. and 5 other AFB-positive genera. Three isolates (6%) had suboptimal identity scores with high probability (81–87% identity score). Four (8%) mixed-pattern results were obtained. Forty-five (90%) observations were concordant with the species identification by standard methods, including all controls. [Copyright &y& Elsevier]