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ferent economic models. Available evidence suggests models should continue using the Markov cohort model with 21 EDSS-based states, however, allowing the transition to a lower EDSS state and assuming a sustained treatment effect. With reference to the data sources, models should consider using a contemporary MS-specific mortality data, recent natural history data, and country-specific utility data if available. In case of data unavailability, a sensitivity analysis using multiple sources of data should be conducted. In addition, future models should incorporate other clinically relevant outcomes, such as the cognition, vision, and psychological aspects of RMS, to be able to present the comprehensive value of DMTs.
The aim of this study was to evaluate the correlation between several ocular parameters (intraocular pressure [IOP], corneal biomechanical properties) and the visual field (VF) mean deviation (VF MD) in eyes with open-angle glaucoma (OAG).
We conducted a cross-sectional, observational study in which we measured the IOP with Goldmann applanation tonometry, the central corneal thickness (CCT), and the corneal parameters obtained from the Ocular Response Analyzer® (ORA®) and the Corvis® ST non-contact tonometer, in newly diagnosed and treatment-naïve eyes with OAG, to investigate whether there was any correlation between these ocular parameters and the VF MD.
A total of 51 eyes were analyzed. A statistically significant correlation was found only between the VF MD and corneal hysteresis (CH) (P = 0.003, r
= 0.16) and CCT (P = 0.03, r
= 0.08).
These results demonstrate that CH and CCT are associated with the amount of VF damage in treatment-naïve OAG eyes.
These results demonstrate that CH and CCT are associated with the amount of VF damage in treatment-naïve OAG eyes.People's ability to critically assess cancer-related information is essential from a preventional and therapeutic, as well as a general democratic perspective. Such cancer literacy is not just about acquiring factual knowledge. It also involves the ability to analyze how the information is contextualized-how cancer is framed. Previous research concerning the framing of cancer in public discourse is voluminous and penetrating but also fragmented and inaccessible to non-experts. In this study, we have developed an integrated and applicable tool for analyzing cancer discourse by systematically classifying distinctive ways of framing of the concept of cancer. Building on previous research and an inductive framing analysis of a broad range of public cancer discourse, systematically selected from British and Norwegian newspapers, we have characterized nine cancer frames the biomedical, the environmental, the epidemiological, the personal, the sociopolitical, the economic, the antagonistic, the alternative, and the symbolic frame. This framing scheme may be applied to analyze cancer-related discourse across a plurality of themes and contexts. We also show how different frames combine to produce more complex messages, thereby revealing underlying patterns, strategies, and conflicts in cancer communication. In conclusion, this analytical tool enables critical reading of cancer-related information and may be especially useful in educational initiatives to advance health communication and public understanding of cancer.
Intravenous lipid emulsions (ILE) have been credited for successful resuscitation in drug intoxication cases where other cardiac life-support methods have failed. However, inter-individual variability can function as a confounder that challenges our ability to define the scope of efficacy for lipid interventions, particularly as relevant data are scarce. To address this challenge, we developed a quantitative systems pharmacology model to predict outcome variability and shed light on causal mechanisms in a virtual population of rats subjected to bupivacaine toxicity and ILE intervention.
We combined a physiologically based pharmacokinetic-pharmacodynamic model with data from a small study in Sprague-Dawley rats to characterize individual-specific cardiac responses to lipid infusion. We used the resulting individual parameter estimates to posit a population distribution of responses to lipid infusion. On that basis, we constructed a large virtual population of rats (N=10,000) undergoing lipid therapy followmplex, dynamic physiological outcomes over a virtual population. Despite being informed by very limited data, our mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD50 when extrapolated to putatively toxic doses of bupivacaine. Furthermore, causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action.There have been recent encouraging reports about the development of vaccines for COVID-19. Given the scale and effects of this pandemic on public health and economies worldwide, there has been an unprecedented approach across the globe, leading to the emergence of vaccine candidates many times faster than the normal process would allow. This review gives up-to-date information as of November 28, 2020, on the latest developments in this area and covers the plans to roll out the most promising vaccines across the entire world to halt the spread of this devastating virus.The exaggerated host response to Sars-CoV-2 plays an important role in COVID-19 pathology but provides a therapeutic opportunity until definitive virus targeted therapies and vaccines become available. Given a central role of endothelial dysfunction and systemic inflammation, repurposing ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), statins, and aspirin has been of interest. In this retrospective, single-center study, we evaluated the primary outcomes of mortality and ICU admission in 587 hospitalized patients with documented COVID-19 with or without ACEIs, ARBs, statins, and aspirin. STAT5-IN-1 manufacturer Atorvastatin was associated with reduced mortality, which persisted after adjusting for age, lockdown status, and other medications (OR 0.18. 95% CI 0.06-0.49, P = 0.001). ACEIs were also associated with reduced mortality in the crude model (OR 0.20, CI 0.06-0.66, P = 0.008), as ACEIs and ARBs were combined as a single group (OR 0.35, CI 0.16-0.75, P = 0.007), although ARBs alone did not reach statistical significance.