scholarly journals Meta-analysis of COVID-19 patients to understand the key predictors of mortality in the non-vaccinated groups in remote settings

Author(s):  
Neha L. Jain ◽  
Karishma Parekh ◽  
Rishi Saigal ◽  
Amal Alyusuf ◽  
Gabrielle Kelly ◽  
...  

Various studies have looked into the impact of the COVID-19 vaccine on large populations. However, very few studies have looked into the remote setting of hospitals where vaccination is challenging due to social structure, myths, and misconceptions. There is a consensus that elevated inflammatory markers such as CRP, ferritin, D-dimer correlate with increased severity of COVID-19 and are associated with worse outcomes. In the present study, through retrospective meta-analysis, we have looked into ~20 months of SARS-COV2 infected patients with known mortality status and identified predictors of mortality concerning their comorbidities, various clinical parameters, inflammatory markers, superimposed infections, length of hospitalization, length of mechanical ventilation and ICU stay. Studies with larger sample sizes have covered the outcomes through epidemiological, social, and survey-based analysis; however, most studies cover larger cohorts from tertiary medical centers. In the present study, we assessed the outcome of non-vaccinated COVID 19 patients in a remote setting for 20 months from January 1, 2020, to August 30, 2021, at CHI Mercy Health in Roseburg, Oregon. We also included two vaccinated patients from September 2021 to add to the power of our cohort. The study will provide a comprehensive methodology and deep insight into multi-dimensional data in the unvaccinated group, translational biomarkers of mortality, and state-of-art to conduct such studies in various remote hospitals.

Author(s):  
Christoph Johann Stettina ◽  
Victor van Els ◽  
Job Croonenberg ◽  
Joost Visser

AbstractWhile many organizations embark on agile transformations, they can lack insight into the actual impact of these transformations across organizational layers. In this paper, we collect new and study existing evidence on the impact of agile transformations on organizational performance across teams, programs and portfolios. We conducted an international survey collecting the perceptions of agile coaches, transformation leads and other relevant roles, and we correlated levels of agile maturity to the perceptions on dimensions of organizational performance. Based on 134 responses from 29 countries across 16 industries, (1) we consolidated understanding of the benefits of agile transformations based on prior evidence and our data from a more diverse and larger sample, (2) we identified the dimensions impacted by agile transformations as being productivity, responsiveness, quality, workflow health and employee satisfaction & engagement and (3) we traced specific benefits on those dimensions to individual organizational layers of teams, programs and portfolios, showing the magnitude of impact of each dimension per layer. Overall, we can conclude that agile transformations have a variety of strong organizational benefits. This aggregated evidence allows reflection on transformation trends, but also enables organizations to optimize their agile transformation efforts.


Antiquity ◽  
2014 ◽  
Vol 88 (340) ◽  
pp. 516-530 ◽  
Author(s):  
David C. Orton ◽  
James Morris ◽  
Alison Locker ◽  
James H. Barrett

The growth of medieval cities in Northern Europe placed new demands on food supply, and led to the import of fish from increasingly distant fishing grounds. Quantitative analysis of cod remains from London provides revealing insight into the changing patterns of supply that can be related to known historical events and circumstances. In particular it identifies a marked increase in imported cod from the thirteenth century AD. That trend continued into the fifteenth and sixteenth centuries, after a short downturn, perhaps attributable to the impact of the Black Death, in the mid fourteenth century. The detailed pattern of fluctuating abundance illustrates the potential of archaeological information that is now available from the high-quality urban excavations conducted in London and similar centres during recent decades.


Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 376-383
Author(s):  
He-guo Ding ◽  
Yan-wei Yin ◽  
Sun-lin Liu

AbstractIntroductionThe association between interleukin-6 (IL-6) gene −572 G^C polymorphism and myocardial infarction (MI) risk has not been established. We adopted this meta-analysis for further insight into the case–control studies.Materials and methodsTo investigate the genetic association, we searched multiple databases, including Web of Science, EMbase, CBM disc, PubMed and CNKI. Also, we manually identified the searched references. All the statistical analyses were conducted using Stata 11.0.ResultsA total of five studies were identified, involving 2,526 MI cases and 3,027 controls. The results revealed a significant association between IL-6 gene −572 G^C polymorphism and MI, implying that the IL-6 gene −572 C allele may be a protective factor for MI (for C allele vs K allele: OR = 0.85, 95% CI = 0.73–0.99, p = 0.041; for C/C vs G/G: OR = 0.55, 95% CI = 0.31–0.98, p = 0.044; for C/C vs G/C + G/G: OR = 0.60, 95% CI = 0.41–0.89, p = 0.011). However, in the subgroup analysis with regard to ethnicity, no significant correlation was identified between IL-6 gene −572 G^C polymorphism and MI among Europeans.ConclusionThe IL-6 gene −572 C allele may be a protective factor for MI. Future studies involving larger sample bases are still recommended.


2004 ◽  
Author(s):  
Bruce Blaine ◽  
Jennifer McElroy ◽  
Hilary Vidair
Keyword(s):  

Author(s):  
Csilla Rákosi

Psycholinguistic research into metaphor processing is burdened with empirical problems as experiments provide diverging evidence on the impact of conventionality, familiarity and aptness, and with conceptual issues as the interpretation and operationalization of the three concepts mentioned, as well as the related predictions which can be drawn from theories of metaphor processing, are controversial in the literature. This paper uses tools of statistical meta-analysis in order to bring us closer to the solution of these problems and reveal future lines of research.


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