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1.
Future Virol ; 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1526740

ABSTRACT

Aim: COVID-19 is a major threat to public health worldwide. A large proportion of COVID-19 patients is proved to develop anemia. Herein, we investigate the association between anemia and severe pneumonia. Materials & methods: 137 of COVID-19-confirmed patients admitted to Wuhan Union Hospital (Wuhan, China) from 13 February to 17 March 2020 were included. Their clinical characteristics and laboratory data were studied, and multivariable logistic regression analyses were performed. Results: The anemic patients were less likely to develop fever in the early stage of COVID-19. Elevated IL-6 levels were found in anemic COVID-19 patients compared with those without anemia. COVID-19 patients with anemia had an 8.2 times greater possibility of developing severe pneumonia compared with their counterparts without anemia. Conclusion: This study comprehensively describes the clinical characteristics of anemic patients with ordinary, severe and critical COVID-19 and demonstrates the close relationship between the anemia and severe COVID-19.

2.
Eur Radiol ; 32(1): 205-212, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1293361

ABSTRACT

OBJECTIVES: Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intelligence system to predict future deterioration to critical illness in COVID-19 patients. METHODS: An artificial intelligence (AI) system in a time-to-event analysis framework was developed to integrate chest CT and clinical data for risk prediction of future deterioration to critical illness in patients with COVID-19. RESULTS: A multi-institutional international cohort of 1,051 patients with RT-PCR confirmed COVID-19 and chest CT was included in this study. Of them, 282 patients developed critical illness, which was defined as requiring ICU admission and/or mechanical ventilation and/or reaching death during their hospital stay. The AI system achieved a C-index of 0.80 for predicting individual COVID-19 patients' to critical illness. The AI system successfully stratified the patients into high-risk and low-risk groups with distinct progression risks (p < 0.0001). CONCLUSIONS: Using CT imaging and clinical data, the AI system successfully predicted time to critical illness for individual patients and identified patients with high risk. AI has the potential to accurately triage patients and facilitate personalized treatment. KEY POINT: • AI system can predict time to critical illness for patients with COVID-19 by using CT imaging and clinical data.


Subject(s)
COVID-19 , Artificial Intelligence , Humans , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
3.
Computers & Industrial Engineering ; : 107433, 2021.
Article in English | ScienceDirect | ID: covidwho-1252577

ABSTRACT

The COVID-19 outbreak-caused blockade and disruption of the supply chain have dramatically increased the prices of perishable food and other products that rely heavily on the timeliness of supply chains. In the case of inflation, this study aims to make some adjustment to the pricing and replenishment strategy of perishable food and compare it with the scenario without considering inflation to determine the impact of the inflation rate, quality deterioration, time value of money, and characteristics of cash flow of perishable food sales on the supply chain decision-making. We used the discounted cash flow (DCF) model to measure retailers’ revenue, which established that the optimal pricing and replenishing strategy could maximize the retailers’ profit. Besides, the findings were compared with the traditional profit model. Moreover, numerical experiments and sensitivity analysis were provided for decision support to retailers. Overall, this study validates that inflation significantly affects the pricing and replenishment strategy, and the DCF model is more suitable to evaluate the profits of perishable food.

4.
Zhongguo Zhen Jiu ; 40(8): 799-802, 2020 Aug 12.
Article in Chinese | MEDLINE | ID: covidwho-738155

ABSTRACT

The effect of acupuncture-moxibustion on respiratory system and systemic immune inflammatory response were reviewed to explore the possible role of neuroimmunomodulation in the control of inflammatory response and the effect mechanism of cholinergic anti-inflammatory pathway on coronavirus disease 2019 (COVID-19). Acupuncture-moxibustion could produce the local and systemic anti-inflammatory effect on COVID-19 through the activation of cholinergic anti-inflammatory pathway. Compared with humoral anti-inflammatory pathway, the neuronal anti-inflammatory pathway has earlier initiation, rapider action, and more localization, which play a more important role in the initial stage of inflammatory response. This may be an important basis for acupuncture-moxibustion intervention in the early stage of COVID-19. In addition to cholinergic anti-inflammatory pathway, acupuncture-moxibustion may also play an anti-inflammatory role in activating sympathetic nerve, hypothalamic-pituitary-adrenal axis and other neural anti-inflammatory pathways. How acupuncture-moxibustion play its role in stimulating the vagus nerve and sympathetic nerve in different periods of inflammatory response, and whether the effect is based on the selection of acupoints and the methods of stimulation, will be the research direction of the transformation from basic research to clinical research for acupuncture-moxibustion.


Subject(s)
Acupuncture Therapy , Coronavirus Infections/prevention & control , Coronavirus Infections/therapy , Moxibustion , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Pneumonia, Viral/therapy , Acupuncture Points , Betacoronavirus , COVID-19 , Humans , Hypothalamo-Hypophyseal System , Pituitary-Adrenal System , SARS-CoV-2
5.
The Review of Corporate Finance Studies ; 2020.
Article | WHO COVID | ID: covidwho-637738

ABSTRACT

The COVID-19 pandemic and the subsequent lockdown brought about an exogenous and unparalleled stock market crash. The crisis thus provides a unique opportunity to test theories of environmental and social (ES) policies. This paper shows that stocks with higher ES ratings have significantly higher returns, lower return volatility, and higher operating profit margins during the first quarter of 2020. ES firms with higher advertising expenditures experience higher stock returns, and stocks held by more ES-oriented investors experience less return volatility during the crash. This paper highlights the importance of customer and investor loyalty to the resiliency of ES stocks.

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