Sharpsimon3254

e in the rate of VF loss was seen after tube shunt implantation and trabeculectomy with MMC. Patients with diabetes, higher IOP, and more severe VF loss at baseline were at higher risk for VF progression. PURPOSE Anti-vascular endothelial growth factor (VEGF) treatment of neovascular age-related macular degeneration (AMD) is a highly effective advance in the retinal armentarium. OCT offering 3-dimensional imaging of the retina is widely used to guide treatment. Although poor outcomes reported from clinical practice are multifactorial, availability of reliable, reproducible, and quantitative evaluation tools to accurately measure the fluid response, that is, a "VEGF meter," may be a better means of monitoring and treating than the current purely qualitative evaluation used in clinical practice. DESIGN Post hoc analysis of a phase III, randomized, multicenter study. PARTICIPANTS Study eyes of 1095 treatment-naive subjects receiving pro re nata (PRN) or monthly ranibizumab therapy according to protocol-specified criteria in the HARBOR study. METHODS A deep learning method for localization and quantification of fluid in all retinal compartments was applied for automated segmentation of fluid with every voxel class all fluid types close to the lowest levels attainable. Dosage and regimen parameters correlated directly with resulting fluid volumes. Fluid/function correlation showed a volume-dependent negative impact of IRF on vision and weak positive prognostic effect of SRF. CONCLUSIONS Automated quantification of the fluid response may improve therapeutic management of neovascular AMD, avoid discrepancies between clinicians/investigators, and establish structure/function correlations. The bacteria Mannheimia haemolytica and Pasteurella multocida contribute to bovine respiratory disease (BRD), which is often managed with antimicrobials. Antimicrobial resistance in these bacteria has been rare, but extensively drug-resistant strains have recently become common. Routine antimicrobial use may be driving this resistance. Resistance spread is caused in part by propagation of strains harboring integrative conjugative elements. The impact of antimicrobial resistance on treatment outcomes is not clear, but clinical observations suggest that response to first treatment has decreased over time, possibly because of resistance. Clinicians should consider antimicrobial resistance when designing BRD treatment and control programs. Bovine respiratory disease (BRD) remains a leading cause of morbidity, mortality, and economic loss to the cattle industry. The continued high prevalence of the disease underlines a gap in understanding of the host immune response to respiratory infection. The host immune response is beneficial and detrimental, required for clearing the disease but often leading to tissue damage and long-term defects in lung function. This article highlights advancements made in understanding innate and adaptive immunity in BRD, factors that predispose animals to BRD, and novel intervention strategies that may lead to changes in the approach to treating and controlling BRD. Histophilus somni is associated with several disease syndromes in cattle and plays an important role in the bovine respiratory disease complex. H somni isolates exhibit significant differences in terms of susceptibility to inactivation by normal serum corresponding to the general ability to cause clinical disease. Isolates possess a variety of virulence factors, and variation in virulence factor expression is well recognized and associated with antigenic differences. Sequencing of genes associated with known virulence factors has identified genetic variability between isolates. The antigenic and genomic differences represent significant challenges to the host immune system and are problematic for vaccine design. This article provides insights into the management of bovine respiratory disease in high-risk cattle populations. Biocontainment strategies, records, procurement, transport, arrival/receiving management, vaccination, and treatment protocols are discussed from practical and systems-thinking perspectives regarding their impact on health in high-risk cattle. Arrival management considerations, such as facilities, nutritional management, metaphylaxis, bovine viral diarrhea virus persistent infection testing, parasite control, and castration, are also addressed. Caretaker morale and job satisfaction are suggested as important factors to consider when managing high-risk cattle. The inter-relationships of variables within the system are explored as contributing causative factors to bovine respiratory disease in high-risk cattle. Mycoplasma bovis is an important component of the bovine respiratory disease complex and recent reports identified that other species are also affected by M bovis. Control of the disease caused by M bovis has been unsuccessful owing to many factors, including the capacity of M bovis to evade and modulate the immune system of the host; the lack of known virulence factors; the absence of a cell wall, which renders antibiotics targeting cell-wall synthesis unusable; and the failure of vaccines to control disease on the field. P50515 The current knowledge on virulence and pathogenesis is presented in this review. BACKGROUND N-terminal pro-brain natriuretic peptide (NT-pro BNP) increases in patients with heart failure and renal failure. Hemodialysis is a useful treatment to these patients. The aim of this study was to conduct a systematic and meta-analysis to evaluate the influence of hemodialysis on NT-pro BNP concentration. METHODS Relevant studies were identified by searching in PubMed, Medline, Embase, OVID, Web of Science, China Biology Medicine (CBM) and Google Scholar. Standard errors of mean difference along with its 95% CI were calculated to assess the association of hemodialysis and NT-pro BNP concentration. Heterogeneity, subgroup analysis, sensitivity analysis and publication bias were explored. RESULTS Individual patient data was obtained from 270 participants in seven articles suffered from chronic renal failure with regular hemodialysis, which was standard normal distribution. A fixed effects model suggested a pooled mean difference of 79.265 (95% CI -331.172-489.702) without heterogeneity (Q = 0.70 df = 6 p = 0.