523 Matching Annotations
  1. Aug 2020
    1. Horby, P., Mafham, M., Linsell, L., Bell, J. L., Staplin, N., Emberson, J. R., Wiselka, M., Ustianowski, A., Elmahi, E., Prudon, B., Whitehouse, A., Felton, T., Williams, J., Faccenda, J., Underwood, J., Baillie, J. K., Chappell, L., Faust, S. N., Jaki, T., … Landray, M. J. (2020). Effect of Hydroxychloroquine in Hospitalized Patients with COVID-19: Preliminary results from a multi-centre, randomized, controlled trial. MedRxiv, 2020.07.15.20151852. https://doi.org/10.1101/2020.07.15.20151852

  2. Jul 2020
    1. Lavezzo, E., Franchin, E., Ciavarella, C., Cuomo-Dannenburg, G., Barzon, L., Del Vecchio, C., Rossi, L., Manganelli, R., Loregian, A., Navarin, N., Abate, D., Sciro, M., Merigliano, S., De Canale, E., Vanuzzo, M. C., Besutti, V., Saluzzo, F., Onelia, F., Pacenti, M., … Crisanti, A. (2020). Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’. Nature, 1–1. https://doi.org/10.1038/s41586-020-2488-1

  3. Jun 2020
    1. Sbidian, E., Josse, J., Lemaitre, G., Mayer, I., Bernaux, M., Gramfort, A., Lapidus, N., Paris, N., Neuraz, A., Lerner, I., Garcelon, N., Rance, B., Grisel, O., Moreau, T., Bellamine, A., Wolkenstein, P., Varoquaux, G., Caumes, E., Lavielle, M., … Audureau, E. (2020). Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: A cohort study of 4,642 in-patients in France. MedRxiv, 2020.06.16.20132597. https://doi.org/10.1101/2020.06.16.20132597

    1. Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunuba Perez, Z., Cuomo-Dannenburg, G., Dighe, A., Dorigatti, I., Fu, H., Gaythorpe, K., Green, W., Hamlet, A., Hinsley, W., Okell, L., Van Elsland, S., … Ghani, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Imperial College London. https://doi.org/10.25561/77482

    2. Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunuba Perez, Z., Cuomo-Dannenburg, G., Dighe, A., Dorigatti, I., Fu, H., Gaythorpe, K., Green, W., Hamlet, A., Hinsley, W., Okell, L., Van Elsland, S., … Ghani, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. In 20 [Report]. https://doi.org/10.25561/77482

    1. Marshall, J. C., Murthy, S., Diaz, J., Adhikari, N., Angus, D. C., Arabi, Y. M., Baillie, K., Bauer, M., Berry, S., Blackwood, B., Bonten, M., Bozza, F., Brunkhorst, F., Cheng, A., Clarke, M., Dat, V. Q., de Jong, M., Denholm, J., Derde, L., … Zhang, J. (2020). A minimal common outcome measure set for COVID-19 clinical research. The Lancet Infectious Diseases, S1473309920304837. https://doi.org/10.1016/S1473-3099(20)30483-7

    1. Barry, D., Buchanan, L., Cargill, C., Daniel, A., Delaquérière, A., Gamio, L., Gianordoli, G., Harris, R., Harvey, B., Haskins, J., Huang, J., Landon, S., Love, J., Maalouf, G., Matthews, A., Mohamed, F., Moity, S., Royal, D.-C., Ruby, M., & Weingart, E. (2020, May 27). Remembering the 100,000 Lives Lost to Coronavirus in America. The New York Times. https://www.nytimes.com/interactive/2020/05/24/us/us-coronavirus-deaths-100000.html

    1. (((Howard Forman))) on Twitter: “#Italy remains one of the worst outbreaks & one of the best & most consistent responses to lockdown/NPI measures. 0.6% positive rate; STILL testing at rate of greater than 1/1000 each day. The US is NOT currently on this path. (some regions are). 33K fatalities. https://t.co/5lWdXMdlEf” / Twitter. (n.d.). Twitter. Retrieved June 2, 2020, from https://twitter.com/thehowie/status/1266873463681298433

  4. May 2020
  5. Apr 2020
    1. Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., Dighe, A., Griffin, J. T., Baguelin, M., Bhatia, S., Boonyasiri, A., Cori, A., Cucunubá, Z., FitzJohn, R., Gaythorpe, K., … Ferguson, N. M. (2020). Estimates of the severity of coronavirus disease 2019: A model-based analysis. The Lancet Infectious Diseases, S1473309920302437. https://doi.org/10.1016/S1473-3099(20)30243-7

    1. Consistently, our study also found 19.7% of patients with cardiac injury and first demonstrated that cardiac injury was independently associated with an increased risk of mortality in patients with COVID-19.
    2. After adjusting for age, preexisting cardiovascular diseases (hypertension, coronary heart disease, and chronic heart failure), cerebrovascular diseases, diabetes mellitus, chronic obstructive pulmonary disease, renal failure, cancer, ARDS, creatinine levels greater than 133 μmol/L, and NT-proBNP levels greater than 900 pg/mL, the multivariable adjusted Cox proportional hazard regression model showed a significantly higher risk of death in patients with cardiac injury than in those without cardiac injury, either during time from symptom onset (hazard ratio [HR], 4.26 [95% CI, 1.92-9.49]) or time from admission to study end point (HR, 3.41 [95% CI, 1.62-7.16]) (Table 3).
    3. The mortality rate was higher among patients with vs without cardiac injury (42 [51.2%] vs 15 [4.5%]; P < .001) as shown in Table 2 and the Kaplan-Meier survival curves in Figure 2. The mortality rate increased in association with the magnitude of the reference value of hs-TNI