Performance evaluation of InfectID-BSI: A rapid quantitative PCR assay for detecting sepsis-associated organisms directly from whole blood.

BACKGROUND: Bloodstream infections (BSIs) (presence of pathogenic organism in blood) that progress to sepsis (life-threatening organ dysfunction caused by the body's dysregulated response to an infection) is a major healthcare issue globally with close to 50 million cases annually and 11 million sepsis-related deaths, representing about 20% of all global deaths. A rapid diagnostic assay with accurate pathogen identification has the potential to improve antibiotic stewardship and clinical outcomes. METHODS: The InfectID-Bloodstream Infection (InfectID-BSI) test is a real-time quantitative PCR assay, which detects 26 of the most prevalent BSI-causing pathogens (bacteria and yeast) directly from blood (without need for pre-culture). InfectID-BSI identifies pathogens using highly discriminatory single nucleotide polymorphisms located in conserved regions of bacterial and fungal genomes. This report details the findings of a patient study which compared InfectID-BSI with conventional blood culture at two public hospitals in Queensland, Australia, using 375 whole blood samples (from multiple anatomical sites, eg. left arm, right arm, etc.) from 203 patients that have been clinically assessed to have signs and symptoms of suspected BSI, sepsis and septic shock. FINDINGS: InfectID-BSI was a more sensitive method for microorganism detection compared with blood culture (BacT/ALERT, bioMerieux) for positivity rate (102 vs 54 detections), detection of fastidious organisms (Streptococcus pneumoniae and Aerococcus viridans) (25 vs 0), detection of low bioburden infections (measured as genome copies/0.35 mL of blood), time to result (<3 h including DNA extraction for InfectID-BSI vs 16 h-48 h for blood culture), and volume of blood required for testing (0.5 mL vs 40-60 mL). InfectID-BSI is an excellent 'rule out' test for BSI, with a negative predictive value of 99.7%. InfectID-BSI's ability to detect 'difficult to culture' microorganisms re-defines the four most prevalent BSI-associated pathogens as E. coli (28.4%), S. pneumoniae (17.6%), S. aureus (13.7%), and S. epidermidis (13.7%). INTERPRETATION: InfectID-BSI has the potential to alter the clinical treatment pathway for patients with BSIs that are at risk of progressing to sepsis.

Upper Respiratory Microbiota in Relation to Ear and Nose Health Among Australian Aboriginal and Torres Strait Islander Children.

BACKGROUND: We explored the nasal microbiota in Indigenous Australian children in relation to ear and nasal health. METHODS: In total, 103 Indigenous Australian children aged 2-7 years (mean 4.7 years) were recruited from 2 Queensland communities. Children's ears, nose, and throats were examined and upper respiratory tract (URT) swabs collected. Clinical histories were obtained from parents/medical records. URT microbiota were characterized using culturomics with Matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) identification. Real-time PCR was used to quantify otopathogen (Haemophilus influenzae, Streptococcus pneumoniae, and Moraxella catarrhalis) loads and detect respiratory viruses. Data were analyzed using beta diversity measures, regression modeling, and a correlation network analysis. RESULTS: Children with historical/current otitis media (OM) or URT infection (URTI) had higher nasal otopathogen detection and loads and rhinovirus detection compared with healthy children (all P < .04). Children with purulent rhinorrhea had higher nasal otopathogen detection and loads and rhinovirus detection (P < .04) compared with healthy children. High otopathogen loads were correlated in children with historical/current OM or URTI, whereas Corynebacterium pseudodiphtheriticum and Dolosigranulum pigrum were correlated in healthy children. CONCLUSIONS: Corynebacterium pseudodiphtheriticum and D. pigrum are associated with URT and ear health. The importance of the main otopathogens in URT disease/OM was confirmed, and their role relates to co-colonization and high otopathogens loads.

The impact of flood and post-flood cleaning on airborne microbiological and particle contamination in residential houses.

In January 2011, Brisbane, Australia, experienced a major river flooding event. We aimed to investigate its effects on air quality and assess the role of prompt cleaning activities in reducing the airborne exposure risk. A comprehensive, multi-parameter indoor and outdoor measurement campaign was conducted in 41 residential houses, 2 and 6 months after the flood. The median indoor air concentrations of supermicrometer particle number (PN), PM10, fungi and bacteria 2 months after the flood were comparable to those previously measured in Brisbane. These were 2.88 p cm(-3), 15 µg m(-3), 804 cf um(-3) and 177 cf um(-3) for flood-affected houses (AFH), and 2.74 p cm(-3), 15 µg m(-3), 547 cf um(-3) and 167 cf um(-3) for non-affected houses (NFH), respectively. The I/O (indoor/outdoor) ratios of these pollutants were 1.08, 1.38, 0.74 and 1.76 for AFH and 1.03, 1.32, 0.83 and 2.17 for NFH, respectively. The average of total elements (together with transition metals) in indoor dust was 2296 ± 1328 µg m(-2) for AFH and 1454 ± 678 µg m(-2) for NFH, respectively. In general, the differences between AFH and NFH were not statistically significant, implying the absence of a measureable effect on air quality from the flood. We postulate that this was due to the very swift and effective cleaning of the flooded houses by 60,000 volunteers. Among the various cleaning methods, the use of both detergent and bleach was the most efficient at controlling indoor bacteria. All cleaning methods were equally effective for indoor fungi. This study provides quantitative evidence of the significant impact of immediate post-flood cleaning on mitigating the effects of flooding on indoor bioaerosol contamination and other pollutants.