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  1. Article ; Online: COVID-19: Symptoms in Dying Residents of Nursing Homes and in Those Admitted to Hospitals.

    Strang, Peter / Martinsson, Lisa / Bergström, Jonas / Lundström, Staffan

    Journal of palliative medicine

    2021  Volume 24, Issue 7, Page(s) 1067–1071

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) COVID-19 ; Hospitals ; Humans ; Nursing Homes ; Registries ; SARS-CoV-2 ; Sweden ; Terminal Care
    Language English
    Publishing date 2021-03-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1427361-5
    ISSN 1557-7740 ; 1096-6218
    ISSN (online) 1557-7740
    ISSN 1096-6218
    DOI 10.1089/jpm.2020.0688
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study.

    Garibaldi, Brian T / Fiksel, Jacob / Muschelli, John / Robinson, Matthew L / Rouhizadeh, Masoud / Perin, Jamie / Schumock, Grant / Nagy, Paul / Gray, Josh H / Malapati, Harsha / Ghobadi-Krueger, Mariam / Niessen, Timothy M / Kim, Bo Soo / Hill, Peter M / Ahmed, M Shafeeq / Dobkin, Eric D / Blanding, Renee / Abele, Jennifer / Woods, Bonnie /
    Harkness, Kenneth / Thiemann, David R / Bowring, Mary G / Shah, Aalok B / Wang, Mei-Cheng / Bandeen-Roche, Karen / Rosen, Antony / Zeger, Scott L / Gupta, Amita

    Annals of internal medicine

    2020  Volume 174, Issue 1, Page(s) 33–41

    Abstract: ... and 21% were nursing home residents. Among all patients, 131 (16%) died and 694 (83%) were discharged ... nursing home residents. Of 787 patients admitted with mild to moderate disease, 302 (38%) progressed to severe ... of disease progression on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms ...

    Abstract Background: Risk factors for progression of coronavirus disease 2019 (COVID-19) to severe disease or death are underexplored in U.S. cohorts.
    Objective: To determine the factors on hospital admission that are predictive of severe disease or death from COVID-19.
    Design: Retrospective cohort analysis.
    Setting: Five hospitals in the Maryland and Washington, DC, area.
    Patients: 832 consecutive COVID-19 admissions from 4 March to 24 April 2020, with follow-up through 27 June 2020.
    Measurements: Patient trajectories and outcomes, categorized by using the World Health Organization COVID-19 disease severity scale. Primary outcomes were death and a composite of severe disease or death.
    Results: Median patient age was 64 years (range, 1 to 108 years); 47% were women, 40% were Black, 16% were Latinx, and 21% were nursing home residents. Among all patients, 131 (16%) died and 694 (83%) were discharged (523 [63%] had mild to moderate disease and 171 [20%] had severe disease). Of deaths, 66 (50%) were nursing home residents. Of 787 patients admitted with mild to moderate disease, 302 (38%) progressed to severe disease or death: 181 (60%) by day 2 and 238 (79%) by day 4. Patients had markedly different probabilities of disease progression on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms, respiratory rate, fever, absolute lymphocyte count, hypoalbuminemia, troponin level, and C-reactive protein level and the interactions among these factors. Using only factors present on admission, a model to predict in-hospital disease progression had an area under the curve of 0.85, 0.79, and 0.79 at days 2, 4, and 7, respectively.
    Limitation: The study was done in a single health care system.
    Conclusion: A combination of demographic and clinical variables is strongly associated with severe COVID-19 disease or death and their early onset. The COVID-19 Inpatient Risk Calculator (CIRC), using factors present on admission, can inform clinical and resource allocation decisions.
    Primary funding source: Hopkins inHealth and COVID-19 Administrative Supplement for the HHS Region 3 Treatment Center from the Office of the Assistant Secretary for Preparedness and Response.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19/mortality ; Child ; Child, Preschool ; Disease Progression ; Female ; Hospital Mortality ; Hospitalization ; Humans ; Infant ; Male ; Middle Aged ; Pandemics ; Retrospective Studies ; Risk Factors ; SARS-CoV-2 ; Severity of Illness Index ; United States/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-09-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M20-3905
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Experiencia inicial en la atención de pacientes con COVID-19 en un hospital privado de alta complejidad de la Ciudad de Buenos Aires.

    Pulido, Laura / Solís-Aramayo, Marco A / Ibarrola, Manuel / Heres, Marcela / Falco, Jimena / Tomaszuk, Giselle / Churin, Lisandro / Maggio, Patricia / Martin, Vanina / Hernandez, Marcos / García-Zamora, Sebastián / Quadrelli, Silvia

    Medicina

    2021  Volume 80, Issue 5, Page(s) 433–438

    Abstract: ... in a nursing home. The most frequent symptom was fever (75.9%), followed by cough (65.7%), and odyno phagia (48.2 ... included, of which 30.3% attended only for a swab; 59.4% were admitted to the hospital and 10.3% were ... Infection with the SARS coronavirus type 2 (COVID-19) has a variety of presentations, with little ...

    Title translation Initial experience in the attention of patients with COVID-19 in a private third-level hospital in Buenos Aires City.
    Abstract Infection with the SARS coronavirus type 2 (COVID-19) has a variety of presentations, with little data on the evolution of affected patients in Argentina. This is a retrospective and observational study of patients with virological confirmation of coronavirus treated during the months of March to May in a private third-level university hospital in Buenos Aires. O ne hundred and fifty-five adult patients were included, of which 30.3% attended only for a swab; 59.4% were admitted to the hospital and 10.3% were hospitalized at home with daily telephone follow-up. Fifty-four point two percent of participants were women and the median age was 35 years (ICQ 29 to 50). About 59.3% of patients had some risk factor, including age (65 years old or more), underlying chronic disease, were health workers or personnel/residents in a nursing home. The most frequent symptom was fever (75.9%), followed by cough (65.7%), and odyno phagia (48.2%). Globally, 93.5% experienced some symptoms while 17.6% of the participants presented some symptoms but without fever. Chest tomographies were performed to 5 patients. Their chest radiograph was normal or non-diagnostic. Fourteen patients required intensive therapy and 6 of them required mechanical ventilation, 4 of them died. The remaining 2 patients were referred to chronic care centers. No patient with home hospitalization required admission to hospital or died. While this observation is encouraging, it will need to be confirmed with new studies.
    MeSH term(s) Adult ; Argentina/epidemiology ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Female ; Hospitals, Private ; Humans ; Middle Aged ; Pandemics ; Pneumonia, Viral/epidemiology ; Retrospective Studies ; SARS-CoV-2
    Keywords covid19
    Language Spanish
    Publishing date 2021-01-01
    Publishing country Argentina
    Document type Journal Article ; Observational Study
    ZDB-ID 411586-7
    ISSN 1669-9106 ; 0025-7680 ; 0325-951X
    ISSN (online) 1669-9106
    ISSN 0025-7680 ; 0325-951X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study

    Garibaldi, Brian T / Fiksel, Jacob / Muschelli, John / Robinson, Matthew L / Rouhizadeh, Masoud / Perin, Jamie / Schumock, Grant / Nagy, Paul / Gray, Josh H / Malapati, Harsha / Ghobadi-Krueger, Mariam / Niessen, Timothy M / Kim, Bo Soo / Hill, Peter M / Ahmed, M Shafeeq / Dobkin, Eric D / Blanding, Renee / Abele, Jennifer / Woods, Bonnie /
    Harkness, Kenneth / Thiemann, David R / Bowring, Mary G / Shah, Aalok B / Wang, Mei-Cheng / Bandeen-Roche, Karen / Rosen, Antony / Zeger, Scott L / Gupta, Amita

    Ann. intern. med

    Abstract: ... hospitals in the Maryland and Washington, DC, area. PATIENTS: 832 consecutive COVID-19 admissions from 4 ... disease and 171 [20%] had severe disease). Of deaths, 66 (50%) were nursing home residents. Of 787 ... on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms ...

    Abstract BACKGROUND: Risk factors for progression of coronavirus 2019 (COVID-19) to severe disease or death are underexplored in U.S. cohorts. OBJECTIVE: To determine the factors on hospital admission that are predictive of severe disease or death from COVID-19. DESIGN: Retrospective cohort analysis. SETTING: Five hospitals in the Maryland and Washington, DC, area. PATIENTS: 832 consecutive COVID-19 admissions from 4 March to 24 April 2020, with follow-up through 27 June 2020. MEASUREMENTS: Patient trajectories and outcomes, categorized by using the World Health Organization COVID-19 disease severity scale. Primary outcomes were death and a composite of severe disease or death. RESULTS: Median patient age was 64 years (range, 1 to 108 years); 47% were women, 40% were Black, 16% were Latinx, and 21% were nursing home residents. Among all patients, 131 (16%) died and 694 (83%) were discharged (523 [63%] had mild to moderate disease and 171 [20%] had severe disease). Of deaths, 66 (50%) were nursing home residents. Of 787 patients admitted with mild to moderate disease, 302 (38%) progressed to severe disease or death: 181 (60%) by day 2 and 238 (79%) by day 4. Patients had markedly different probabilities of disease progression on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms, respiratory rate, fever, absolute lymphocyte count, hypoalbuminemia, troponin level, and C-reactive protein level and the interactions among these factors. Using only factors present on admission, a model to predict in-hospital disease progression had an area under the curve of 0.85, 0.79, and 0.79, at day 2, 4, and 7, respectively. LIMITATION: The study was done in a single health care system. CONCLUSION: A combination of demographic and clinical variables is strongly associated with severe COVID-19 disease or death and their early onset. The COVID-19 Inpatient Risk Calculator (CIRC), using factors present on admission, can inform clinical and resource allocation decisions. PRIMARY FUNDING SOURCE: Hopkins inHealth and COVID-19 Administrative Supplement for the HHS Region 3 Treatment Center from the Office of the Assistant Secretary for Preparedness and Response.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #789832
    Database COVID19

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