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Sequential organ failure assessment score is an excellent operationalization of disease severity of adult patients with hospitalized community acquired pneumonia - results from the prospective observational PROGRESS study.
Ahnert, Peter; Creutz, Petra; Horn, Katrin; Schwarzenberger, Fabian; Kiehntopf, Michael; Hossain, Hamid; Bauer, Michael; Brunkhorst, Frank Martin; Reinhart, Konrad; Völker, Uwe; Chakraborty, Trinad; Witzenrath, Martin; Löffler, Markus; Suttorp, Norbert; Scholz, Markus.
Afiliação
  • Ahnert P; University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Härtelstr. 16-18, 04107, Leipzig, Germany. peter.ahnert@imise.uni-leipzig.de.
  • Creutz P; Department of Infectious Disease and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Virchowklinikum, Augustenburgerplatz 1, 13353, Berlin, Germany.
  • Horn K; University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Härtelstr. 16-18, 04107, Leipzig, Germany.
  • Schwarzenberger F; Faculty of Informatics / Mathematics, HTW Dresden University of Applied Sciences, Friedrich-List-Platz 1, 01069, Dresden, Germany.
  • Kiehntopf M; Jena University Hospital, Integrated Biobank Jena (IBBJ) and Institute of Clinical Chemistry and Laboratory Diagnostics, Am Klinikum 1, 07740, Jena, Germany.
  • Hossain H; Technische Hochschule Mittelhessen, University of Applied Sciences, Life Science Engineering, Wiesenstr. 14, 35390, Gießen, Germany.
  • Bauer M; Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
  • Brunkhorst FM; Center for Clinical Studies and Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
  • Reinhart K; Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
  • Völker U; Department Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475, Greifswald, Germany.
  • Chakraborty T; University Hospital Giessen, Institute for Medical Microbiology, Schubertstr. 81, 35392, Gießen, Germany.
  • Witzenrath M; Department of Infectious Disease and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
  • Löffler M; Department of Infectious Disease and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
  • Suttorp N; Department of Infectious Disease and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
  • Scholz M; University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Härtelstr. 16-18, 04107, Leipzig, Germany.
Crit Care ; 23(1): 110, 2019 04 04.
Article em En | MEDLINE | ID: mdl-30947753
BACKGROUND: CAP (Community acquired pneumonia) is frequent, with a high mortality rate and a high burden on health care systems. Development of predictive biomarkers, new therapeutic concepts, and epidemiologic research require a valid, reproducible, and quantitative measure describing CAP severity. METHODS: Using time series data of 1532 patients enrolled in the PROGRESS study, we compared putative measures of CAP severity for their utility as an operationalization. Comparison was based on ability to correctly identify patients with an objectively severe state of disease (death or need for intensive care with at least one of the following: substantial respiratory support, treatment with catecholamines, or dialysis). We considered IDSA/ATS minor criteria, CRB-65, CURB-65, Halm criteria, qSOFA, PSI, SCAP, SIRS-Score, SMART-COP, and SOFA. RESULTS: SOFA significantly outperformed other scores in correctly identifying a severe state of disease at the day of enrollment (AUC = 0.948), mainly caused by higher discriminative power at higher score values. Runners-up were the sum of IDSA/ATS minor criteria (AUC = 0.916) and SCAP (AUC = 0.868). SOFA performed similarly well on subsequent study days (all AUC > 0.9) and across age groups. In univariate and multivariate analysis, age, sex, and pack-years significantly contributed to higher SOFA values whereas antibiosis before hospitalization predicted lower SOFA. CONCLUSIONS: SOFA score can serve as an excellent operationalization of CAP severity and is proposed as endpoint for biomarker and therapeutic studies. TRIAL REGISTRATION: clinicaltrials.gov NCT02782013 , May 25, 2016, retrospectively registered.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / Infecções Comunitárias Adquiridas / Escores de Disfunção Orgânica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / Infecções Comunitárias Adquiridas / Escores de Disfunção Orgânica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article