Upchurchthestrup8447

The objective of the present study was to determine the factors that influenced growth performance of the goat kids of Black Bengal (BB), Saanen (SA), and their crossbred F1 (male Bengal × female Saanen [BBSA] and male Saanen × female Black Bengal [SABB]). Data for 674 kids were analyzed from 316 litters and 134 does. All kids were weekly measured on their characteristics (body weight, length, height at the withers, and chest girth) from birth to 11 weeks old. The kid's breed and sex, litter size, and season of kidding influenced birth weight and other characteristics through the experiment. The SA and BBSA kids showed similar performance, which were higher than BB and SABB kids. Male kids had higher performance than female kids, and kids from a single litter showed the highest performance. Kids born during rainy season showed lower performance than those born in hot and cool seasons. In conclusion, the crossbred BBSA is superior to SABB or BB to raise in tropical climate Moreover, sex, litter size, and kidding season also affected growth performance during the preweaning period up to 11 weeks old.

The objective of this study was to describe clinical features and to assess the risk factors associated with mortality in Pseudomonas aeruginosa bacteraemia in a tertiary Japanese paediatric care hospital.

Patients diagnosed with P. aeruginosa bacteraemia at our hospital between 2007 and 2018 were analysed in a retrospective case series. Inadequate initial therapy for P. aeruginosa bacteraemia was defined as initial treatment without antipseudomonal antibiotics or an administration of antipseudomonal agent to which the causative strain was resistant. Bacteraemia-related death was defined as all deaths occurring within 7 days after the onset of bacteraemia.

Overall, 41 patients with 42 P. aeruginosa bacteraemia episodes were identified. The most common underlying condition was malignancy (27%), followed by congenital heart disease (20%) and preterm birth (17%). Among the 42 P. aeruginosa clinical isolates, 24% were resistant to at least one of the antipseudomonal agents and 10% were resistant to more than one agent. The susceptibility levels for piperacillin, fourth-generation cephalosporins and ciprofloxacin were higher than that for carbapenems. Bacteraemia-related death was observed in 43% of episodes. The 30-day all-cause mortality was 50% (standard error 8%). Neonates, intensive care, mechanical ventilation, afebrile episodes, septic shock, hypoxia, renal injury and inadequate initial therapy were associated with bacteraemia-related death episodes.

We found that childhood P. aeruginosa bacteraemia is still a high mortality disease. Our results imply the importance of the identification of high-risk patients and the establishment of adequate empirical antibiotic therapy.

We found that childhood P. aeruginosa bacteraemia is still a high mortality disease. Our results imply the importance of the identification of high-risk patients and the establishment of adequate empirical antibiotic therapy.Sleep stage scoring can lead to important inter-expert variability. read more Although likely, whether this issue is amplified in older populations, which show alterations of sleep electrophysiology, has not been thoroughly assessed. Algorithms for automatic sleep stage scoring may appear ideal to eliminate inter-expert variability. Yet, variability between human experts and algorithm sleep stage scoring in healthy older individuals has not been investigated. Here, we aimed to compare stage scoring of older individuals and hypothesized that variability, whether between experts or considering the algorithm, would be higher than usually reported in the literature. Twenty cognitively normal and healthy late midlife individuals' (61 ± 5 years; 10 women) night-time sleep recordings were scored by two experts from different research centres and one algorithm. We computed agreements for the entire night (percentage and Cohen's κ) and each sleep stage. Whole-night pairwise agreements were relatively low and ranged from 67% to 78% (κ, 0.54-0.67). Sensitivity across pairs of scorers proved lowest for stages N1 (8.2%-63.4%) and N3 (44.8%-99.3%). Significant differences between experts and/or algorithm were found for total sleep time, sleep efficiency, time spent in N1/N2/N3 and wake after sleep onset (p ≤ 0.005), but not for sleep onset latency, rapid eye movement (REM) and slow-wave sleep (SWS) duration (N2 + N3). Our results confirm high inter-expert variability in healthy aging. Consensus appears good for REM and SWS, considered as a whole. It seems more difficult for N3, potentially because human raters adapt their interpretation according to overall changes in sleep characteristics. Although the algorithm does not substantially reduce variability, it would favour time-efficient standardization.

Conventional bright-blood late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) often suffers from poor scar-to-blood contrast due to the bright blood pool adjacent to the enhanced scar tissue. Recently, a dark-blood LGE method was developed which increases scar-to-blood contrast without using additional magnetization preparation.

We aim to histopathologically validate this dark-blood LGE method in a porcine animal model with induced myocardial infarction (MI).

Prospective.

Thirteen female Yorkshire pigs.

1.5 T, two-dimensional phase-sensitive inversion-recovery radiofrequency-spoiled turbo field-echo.

MI was experimentally induced by transient coronary artery occlusion. At 1-week and 7-week post-infarction, in-vivo cardiac MRI was performed including conventional bright-blood and novel dark-blood LGE. Following the second MRI examination, the animals were sacrificed, and histopathology was obtained. Matching LGE slices and histopathology samples were selected based on anatomiompared to bright-blood LGE, at both 1-week and 7-weeks post-infarction.

Dark-blood LGE without additional magnetization preparation provides superior visualization and quantification of ischemic scar compared to the current in vivo reference standard.

1 TECHNICAL EFFICACY STAGE 2.

1 TECHNICAL EFFICACY STAGE 2.