33 research outputs found

    Disparities in outcomes of COVID-19 hospitalizations in native American individuals

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    ObjectivesThis study aimed to investigate COVID-19-related disparities in clinical presentation and patient outcomes in hospitalized Native American individuals.MethodsThe study was performed within 30 hospitals of the Banner Health system in the Southwest United States and included 8,083 adult patients who tested positive for SARS-CoV-2 infection and were hospitalized between 1 March 2020 and 4 September 2020. Bivariate and multivariate analyses were used to assess racial and ethnic differences in clinical presentation and patient outcomes.ResultsCOVID-19-related hospitalizations in Native American individuals were over-represented compared with non-Hispanic white individuals. Native American individuals had fewer symptoms at admission; greater prevalence of chronic lung disease in the older adult; two times greater risk for ICU admission despite being younger; and 20 times more rapid clinical deterioration warranting ICU admission. Compared with non-Hispanic white individuals, Native American individuals had a greater prevalence of sepsis, were more likely to require invasive mechanical ventilation, had a longer length of stay, and had higher in-hospital mortality.ConclusionNative American individuals manifested greater case-fatality rates following hospitalization than other races/ethnicities. Atypical symptom presentation of COVID-19 included a greater prevalence of chronic lung disease and a more rapid clinical deterioration, which may be responsible for the observed higher hospital mortality, thereby underscoring the role of pulmonologists in addressing such disparities

    Hermeneutika Al-Qur\u27an Kontekstual: Metode Menafsirkan Al-Qur\u27an Abdullah Saeed

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    Quranic exegesis has a special place in the development of Islamic intellectual tradition and civilization at large. As the main source of Islamic teaching, for centuries Muslims have attempted to understand the various meanings of the Qur\u27an in order to be in line with the current needs of the society through the process of contextualization. In this article, the author presents and explains the way in which Abdullah Saeed, a professor in Islamic studies from the the University of Melbourne, Australia, contextualize the meaning of the Quran. In particular, this article analyzes some methodological aspects proposed by Saeed in the qontextualization of the Qur\u27an: 1) identifying the world of the text; 2) analyzing text critically; 3) connecting the text to the early Islamic community as the first receivers; and 4) relating the text to the current needs of society

    Reactive oxygen species鈥揳ssociated molecular signature predicts survival in patients with sepsis

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    Sepsis-related multiple organ dysfunction syndrome is a leading cause of death in intensive care units. There is overwhelming evidence that oxidative stress plays a significant role in the pathogenesis of sepsis-associated multiple organ failure; however, reactive oxygen species (ROS)-associated biomarkers and/or diagnostics that define mortality or predict survival in sepsis are lacking. Lung or peripheral blood gene expression analysis has gained increasing recognition as a potential prognostic and/or diagnostic tool. The objective of this study was to identify ROS-associated biomarkers predictive of survival in patients with sepsis. In-silico analyses of expression profiles allowed the identification of a 21-gene ROS-associated molecular signature that predicts survival in sepsis patients. Importantly, this signature performed well in a validation cohort consisting of sepsis patients aggregated from distinct patient populations recruited from different sites. Our signature outperforms randomly generated signatures of the same signature gene size. Our findings further validate the critical role of ROSs in the pathogenesis of sepsis and provide a novel gene signature that predicts survival in sepsis patients. These results also highlight the utility of peripheral blood molecular signatures as biomarkers for predicting mortality risk in patients with sepsis, which could facilitate the development of personalized therapies.Veterans Administration Health System grant [1IK2BX001477]; National Institutes of Health [R01HL91899]On an institutional repository or open access repository after 12 months embargo.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

    Addressing Race in Pulmonary Function Testing by Aligning Intent and Evidence With Practice and Perception.

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    The practice of using race or ethnicity in medicine to explain differences between individuals is being called into question because it may contribute to biased medical care and research that perpetuates health disparities and structural racism. A commonly cited example is the use of race or ethnicity in the interpretation of pulmonary function test (PFT) results, yet the perspectives of practicing pulmonologists and physiologists are missing from this discussion. This discussion has global relevance for increasingly multicultural communities in which the range of values that represent normal lung function is uncertain. We review the underlying sources of differences in lung function, including those that may be captured by race or ethnicity, and demonstrate how the current practice of PFT measurement and interpretation is imperfect in its ability to describe accurately the relationship between function and health outcomes. We summarize the arguments against using race-specific equations as well as address concerns about removing race from the interpretation of PFT results. Further, we outline knowledge gaps and critical questions that need to be answered to change the current approach of including race or ethnicity in PFT results interpretation thoughtfully. Finally, we propose changes in interpretation strategies and future research to reduce health disparities
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