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  1. Article ; Online: Medicina, Epidemiología y Humanismo antes y después de la COVID-19.

    Soriano, J B

    Revista clinica espanola

    2020  Volume 220, Issue 8, Page(s) 503–506

    Abstract: The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's ...

    Title translation Medicine, epidemiology and humanism before and after COVID-19.
    Abstract The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's burden on individuals and the population at large. These unprecedented times have presented a challenge to chronic disease epidemiologists and have required a practical approach "to do something to help during this disaster." Options include returning to clinical care or resorting to online textbooks and resources for crash courses on outbreak research. However, being aware of the magnitude of individual suffering endured by so many, including many esteemed, close colleagues, becomes a personal challenge of enormous proportions. It is envisaged that the arts and other humanities can help re-establish balance, both during the pandemic and especially after it.
    Language Spanish
    Publishing date 2020-05-11
    Publishing country Spain
    Document type English Abstract ; Journal Article
    ZDB-ID 123597-7
    ISSN 1578-1860 ; 0014-2565 ; 0014-2565
    ISSN (online) 1578-1860 ; 0014-2565
    ISSN 0014-2565
    DOI 10.1016/j.rce.2020.05.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Medicina, Epidemiología y Humanismo antes y después de la COVID-19.

    Soriano, J B

    Revista clinica espanola

    2020  Volume 220, Issue 8, Page(s) 503–506

    Abstract: The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's ...

    Title translation Medicine, epidemiology and humanism before and after COVID-19.
    Abstract The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's burden on individuals and the population at large. These unprecedented times have presented a challenge to chronic disease epidemiologists and have required a practical approach "to do something to help during this disaster." Options include returning to clinical care or resorting to online textbooks and resources for crash courses on outbreak research. However, being aware of the magnitude of individual suffering endured by so many, including many esteemed, close colleagues, becomes a personal challenge of enormous proportions. It is envisaged that the arts and other humanities can help re-establish balance, both during the pandemic and especially after it.
    Keywords covid19
    Language Spanish
    Publishing date 2020-05-11
    Publishing country Spain
    Document type English Abstract ; Journal Article
    ISSN 2254-8874
    ISSN (online) 2254-8874
    DOI 10.1016/j.rce.2020.05.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Medicina, Epidemiología y Humanismo antes y después de la COVID-19./ [Medicine, epidemiology and humanism before and after COVID-19]

    Soriano, J B

    Rev. clin. esp. (Ed. impr.)

    Abstract: The rapid propagation of SARS-CoV-2 requires the generation of evidence to help mitigate its global damage. The precise measurement with the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the ... ...

    Abstract The rapid propagation of SARS-CoV-2 requires the generation of evidence to help mitigate its global damage. The precise measurement with the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the individual and population burden of the current pandemic. These unprecedented times have raised a challenge for epidemiologists of chronic diseases and have required a practical approach "to do something to help during this disaster". The options include returning to clinical care or resorting to online textbooks and resources for accelerated courses on the research of outbreaks. However, being aware of the magnitude of individual suffering endured by so many, including many esteemed and close colleagues, becomes a personal challenge of enormous proportions. The arts and other forms of humanities can help re-establish equilibrium, both during the pandemic and especially after it.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32394986
    Database COVID19

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  4. Article ; Online: Medicine, epidemiology and humanism before and after COVID-19

    Soriano, J. B.

    Rev Clin Esp (Barc)

    Abstract: Abstract The rapid propagation of SARS-CoV-2 requires the generation of evidence to help mitigate its global damage. The precise measurement with the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in ... ...

    Abstract Abstract The rapid propagation of SARS-CoV-2 requires the generation of evidence to help mitigate its global damage. The precise measurement with the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the individual and population burden of the current pandemic. These unprecedented times have raised a challenge for epidemiologists of chronic diseases and have required a practical approach “to do something to help during this disaster”. The options include returning to clinical care or resorting to online textbooks and resources for accelerated courses on the research of outbreaks. However, being aware of the magnitude of individual suffering endured by so many, including many esteemed and close colleagues, becomes a personal challenge of enormous proportions. The arts and other forms of humanities can help re-establish equilibrium, both during the pandemic and especially after it.
    Keywords covid19
    Publisher Elsevier; PMC
    Document type Article ; Online
    DOI 10.1016/j.rceng.2020.05.003
    Database COVID19

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  5. Article: Medicina, Epidemiología y Humanismo antes y después de la COVID-19./ Medicina, Epidemiología y Humanismo antes y después de la COVID-19./ Medicine, epidemiology and humanism before and after COVID-19

    Soriano, J B

    Rev. clin. esp. (Ed. impr.)

    Abstract: The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's ...

    Abstract The rapid spread of SARS-CoV-2 requires evidence to help mitigate its global harm. Generating accurate measurements of the appropriate clinical and epidemiological indicators associated with COVID-19 is a necessary step in reducing the current pandemic's burden on individuals and the population at large. These unprecedented times have presented a challenge to chronic disease epidemiologists and have required a practical approach "to do something to help during this disaster." Options include returning to clinical care or resorting to online textbooks and resources for crash courses on outbreak research. However, being aware of the magnitude of individual suffering endured by so many, including many esteemed, close colleagues, becomes a personal challenge of enormous proportions. It is envisaged that the arts and other humanities can help re-establish balance, both during the pandemic and especially after it.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #260193
    Database COVID19

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  6. Article ; Online: Medicina, Epidemiología y Humanismo antes y después de la COVID-19

    Soriano, J.B.

    Revista Clínica Española

    2020  Volume 220, Issue 8, Page(s) 503–506

    Keywords General Medicine ; covid19
    Language Spanish
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 123597-7
    ISSN 0014-2565 ; 0014-2565
    ISSN (online) 0014-2565
    ISSN 0014-2565
    DOI 10.1016/j.rce.2020.05.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Medicine, epidemiology, and humanism before and after COVID-19

    Soriano, J.B.

    Revista Clínica Española (English Edition)

    2020  Volume 220, Issue 8, Page(s) 503–506

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2254-8874
    DOI 10.1016/j.rceng.2020.05.003
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: CLINICAL CHARACTERISTICS AND PROGNOSTIC FACTORS FOR ICU ADMISSION OF PATIENTS WITH COVID-19 USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING

    Izquierdo, J. L. / Ancochea, J. / Soriano, J. B.

    Abstract: There remain many unknowns regarding the onset and clinical course of the ongoing COVID-19 pandemic. We used a combination of classic epidemiological methods, natural language processing (NLP), and machine learning (for predictive modeling), to analyse ... ...

    Abstract There remain many unknowns regarding the onset and clinical course of the ongoing COVID-19 pandemic. We used a combination of classic epidemiological methods, natural language processing (NLP), and machine learning (for predictive modeling), to analyse the electronic health records (EHRs) of patients with COVID-19. We explored the unstructured free text in the EHRs within the SESCAM Healthcare Network (Castilla La-Mancha, Spain) from the entire population with available EHRs (1,364,924 patients) from January 1st to March 29th, 2020. We extracted related clinical information upon diagnosis, progression and outcome for all COVID-19 cases, focusing in those requiring ICU admission. A total of 10,504 patients with a clinical or PCR-confirmed diagnosis of COVID-19 were identified, 52.5% males, with a mean age of 58.2 and S.D. 19.7 years. Upon admission, the most common symptoms were cough, fever, and dyspnoea, but all in less than half of cases. Overall, 6% of hospitalized patients required ICU admission. Using a machine-learning, data-driven algorithm we identified that a combination of age, fever, and tachypnoea was the most parsimonious predictor of ICU admission: those younger than 56 years, without tachypnoea, and temperature <39 C, (or >39 C without respiratory crackles), were free of ICU admission. On the contrary, COVID-19 patients aged 40 to 79 years were likely to be admitted to the ICU if they had tachypnoea and delayed their visit to the ER after being seen in primary care. Our results show that a combination of easily obtainable clinical variables (age, fever, and tachypnoea with/without respiratory crackles) predicts which COVID-19 patients require ICU admission.
    Keywords covid19
    Publisher MedRxiv
    Document type Article ; Online
    DOI 10.1101/2020.05.22.20109959
    Database COVID19

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  9. Article: Understanding Severe Asthma Through Small and Big Data in Spanish Hospitals: The PAGE Study.

    Melero Moreno, C / Almonacid Sánchez, C / Bañas Conejero, D / Quirce, S / Álvarez Gutiérrez, F J / Cardona, V / Sánchez-Herrero, M G / Soriano, J B

    Journal of investigational allergology & clinical immunology

    2023  Volume 33, Issue 5, Page(s) 373–382

    Abstract: Background: Data on the prevalence of severe asthma (SA) are limited. Electronic health records (EHRs) offer a unique research opportunity to test machine learning (ML) tools in epidemiological studies. Our aim was to estimate the prevalence of SA among ...

    Abstract Background: Data on the prevalence of severe asthma (SA) are limited. Electronic health records (EHRs) offer a unique research opportunity to test machine learning (ML) tools in epidemiological studies. Our aim was to estimate the prevalence of SA among asthma patients seen in hospital asthma units, using both ML-based and traditional research methodologies. Our secondary objective was to describe patients with nonsevere asthma (NSA) and SA over a follow-up of 12 months.
    Methods: PAGE is a multicenter, controlled, observational study conducted in 36 Spanish hospitals and split into 2 phases: a cross-sectional phase for estimation of the prevalence of SA and a prospective phase (3 visits in 12 months) for the follow-up and characterization of SA and NSA patients. A substudy with ML was performed in 6 hospitals. Our ML tool uses EHRead technology, which extracts clinical concepts from EHRs and standardizes them to SNOMED CT.
    Results: The prevalence of SA among asthma patients in Spanish hospitals was 20.1%, compared with 9.7% using the ML tool. The proportion of SA phenotypes and the features of patients followed up were consistent with previous studies. The clinical predictions of patients' clinical course were unreliable, and ML found only 2 predictive models with discriminatory power to predict outcomes.
    Conclusion: This study is the first to estimate the prevalence of SA in hospitalized asthma patients and to predict patient outcomes using both standard and ML-based research techniques. Our findings offer relevant insights for further epidemiological and clinical research in SA.
    Language English
    Publishing date 2023-08-24
    Publishing country Spain
    Document type Journal Article
    ZDB-ID 1128657-x
    ISSN 1018-9068
    ISSN 1018-9068
    DOI 10.18176/jiaci.0848
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Combining case-finding methods for COPD in primary care: a large, two-stage design study.

    Soriano, J B / Molina, J / Miravitlles, M

    The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease

    2017  Volume 22, Issue 1, Page(s) 106–111

    Abstract: Background: Underdiagnosis of chronic obstructive pulmonary disease (COPD) is common. We aimed to assess the effectiveness of using the Chronic Obstructive Pulmonary Disease-Population Screener (COPD-PS) questionnaire with pre-bronchodilator (BD) peak ... ...

    Abstract Background: Underdiagnosis of chronic obstructive pulmonary disease (COPD) is common. We aimed to assess the effectiveness of using the Chronic Obstructive Pulmonary Disease-Population Screener (COPD-PS) questionnaire with pre-bronchodilator (BD) peak expiratory flow (PEF) measurements as a case-finding strategy for COPD in primary care.
    Methods: This was a two-stage, cross-sectional study comprising a population survey in a primary care population aged 35 years without previous COPD, followed by a validation study using COPD-PS 4 or PEF 2.2 l/s·m2, and confirmed by spirometry (post-BD forced expiratory volume in 1 s/forced vital capacity [FEV1/FVC] <0.70). The predictive capacity of the strategy was assessed in a case-control sub-study.
    Results: Of a total of 10 071 individuals, 6969 (69.2%) participants were included. Both tests were positive in 4.3% subjects, PEF only in 2.1% and COPD-PS only in 5.1%. Of the 802 with positive screening results, COPD was confirmed using spirometry in 130, accounting for 1.9% of all participants and 16.2% of those who tested positive on COPD-PS or PEF. Among the 130 true-positives, the mean score for the COPD-PS questionnaire was 5.1 l/s·m2 (± standard deviation [SD] 1.7) and 1.9 l/s·m2 (±SD 0.8) for pre-BD PEF, both significantly worse than in the 672 false-positives. The combined use of both screening tests had a sensitivity of 67.5%, a specificity of 71.3% and a diagnostic accuracy of 69.6%.
    Conclusion: Case finding for COPD using COPD-PS + PEF led to a 90% reduction in the number of spirometry tests performed.
    MeSH term(s) Adult ; Aged ; Bronchodilator Agents/administration & dosage ; Case-Control Studies ; Cross-Sectional Studies ; Female ; Forced Expiratory Volume ; Humans ; Male ; Mass Screening/methods ; Middle Aged ; Peak Expiratory Flow Rate ; Primary Health Care/methods ; Pulmonary Disease, Chronic Obstructive/diagnosis ; Pulmonary Disease, Chronic Obstructive/epidemiology ; Sensitivity and Specificity ; Spirometry ; Surveys and Questionnaires ; Vital Capacity
    Chemical Substances Bronchodilator Agents
    Language English
    Publishing date 2017-12-30
    Publishing country France
    Document type Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't ; Validation Studies
    ZDB-ID 1385624-8
    ISSN 1815-7920 ; 1027-3719
    ISSN (online) 1815-7920
    ISSN 1027-3719
    DOI 10.5588/ijtld.17.0334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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