https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43392 Wed 22 Mar 2023 15:32:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15038 = 300) were assessed via scanning and transmission electron microscopy (SEM and TEM), and compared to control populations. Our analyses found that prolonged exposure to all treatments resulted in the subsequent formation of SCV phenotypes. Observed SCVs manifested as minute colonies with reduced haemolysis and pigmentation (NaCl, pH and 4 degrees C treatments), or complete lack thereof (antibiotic treatments). SEM comparison analyses revealed significantly smaller cell sizes for SCV populations except in S. aureus and S. epidermidis 10% NaCl, and S. epidermidis 4 degrees C (p<0.05). Shifts in population distribution patterns were also observed with distinct sub-populations of smaller cells appearing for S. epidermidis, and S. lugdunensis. TEM analyses revealed significantly thicker cell-walls in all treatments and species except S. lugdunensis exposed to 4 degrees C. These findings suggest that staphylococci adapted to environmental stresses by altering their cell size and wall thickness which could represent the formation of altered phenotypes which facilitate survival under harsh conditions. The phenotypic response was governed by the type of prevailing environmental stress regime leading to appropriate alterations in ultra-structure and size, suggesting downstream changes in gene expression, the proteome, and metabolome.]]> Wed 11 Apr 2018 16:44:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7723 Wed 11 Apr 2018 11:43:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34558 Wed 10 Nov 2021 15:14:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46337 P = .01), emergency visit (RR = 8.61, P = .03), and hospitalization (RR = 12.94, P < .01). Results of the cluster analysis were successfully validated in an independent PGA population classified using decision tree analysis. Although PGA can transform into or develop from other phenotypes, 70% were stable over time. Conclusions: Among 3 identified PGA clusters, cluster 3 had a higher risk of severe exacerbation. PGA heterogeneity indicates the requirement of novel targeted interventions.]]> Tue 15 Nov 2022 15:03:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51880 Thu 21 Sep 2023 10:25:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54912 Thu 21 Mar 2024 12:03:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13284 Sat 24 Mar 2018 08:15:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16919 Sat 24 Mar 2018 08:00:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18929 Sat 24 Mar 2018 07:58:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46081 adj], 18.10 and 19.17, respectively) and mechanical ventilation (RR_adj , 2.56 and 5.71, respectively) than did cluster 1. Individuals in cluster 3 had an extended length of hospital stay (11 days), increased hospitalization direct costs (13,481.57 Chinese Yuan), and a higher risk of ICU admission (RR_adj , 2.14) than individuals in clusters 1 and 2. The decision tree assigned 90.8% of the participants correctly. Conclusions: We identified 3 phenotypes with differential clinical and inflammatory characteristics associated with in-hospital adverse outcomes. These new phenotypes might have important and clinically relevant implications for the management of patients hospitalized for AEs.]]> Fri 11 Nov 2022 15:15:03 AEDT ]]>