2019
DOI: 10.1111/jocs.14331
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Validation of prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in‐hospital mortality among cardiac‐, thoracic‐, and vascular‐surgery patients admitted to a cardiothoracic intensive care unit

Abstract: Sepsis-3 Definition: Sepsis is defined as life-threatening organ dysfunction due to a dysregulated host response to infection. The clinical criteria of sepsis include organ dysfunction, which is defined as an increase of two points or more on the sequential organ failure assessment (SOFA). For patients with infection, an increase of 2 SOFA points yields an overall mortality rate of 10%. Patients with suspected infection who are likely to have a prolonged intensive care unit (ICU) stay or to have in-hospital mo… Show more

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Cited by 25 publications
(23 citation statements)
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“…Furthermore, a meta-analysis of 229,480 patients compared the qSOFA score and SIRS criteria for their ability to predict patient mortality and revealed only a slightly better performance of the qSOFA score, which supports the findings of our study [22]. However, some studies revealed a high power for the prediction of mortality: Kovach et al analyzed hospital mortality in a retrospective data set of 3749 surgical and medical ICU patients with suspected infection, while Zhang et al investigated retrospectively 5109 cardiac surgical patients, with both studies resulting in AUCROC > 0.8 for the prediction of mortality by using the SOFA and qSOFA scores [21,23]. However, it must be highlighted that, contrary to our approach, the patients of Kovach's study were adjusted for a baseline risk factor for death, which increased the predictive quality of the SOFA score, while Zhang et al only included cardiac surgical patients, which are hardly comparable with the sources of systemic inflammation in our study.…”
Section: Discussionsupporting
confidence: 86%
“…Furthermore, a meta-analysis of 229,480 patients compared the qSOFA score and SIRS criteria for their ability to predict patient mortality and revealed only a slightly better performance of the qSOFA score, which supports the findings of our study [22]. However, some studies revealed a high power for the prediction of mortality: Kovach et al analyzed hospital mortality in a retrospective data set of 3749 surgical and medical ICU patients with suspected infection, while Zhang et al investigated retrospectively 5109 cardiac surgical patients, with both studies resulting in AUCROC > 0.8 for the prediction of mortality by using the SOFA and qSOFA scores [21,23]. However, it must be highlighted that, contrary to our approach, the patients of Kovach's study were adjusted for a baseline risk factor for death, which increased the predictive quality of the SOFA score, while Zhang et al only included cardiac surgical patients, which are hardly comparable with the sources of systemic inflammation in our study.…”
Section: Discussionsupporting
confidence: 86%
“…Furthermore, a meta-analysis of 229,480 patients compared the qSOFA score and SIRS criteria for their ability to predict patient mortality, and revealed only a slightly better performance of the qSOFA score, which supports the ndings of our study [23]. However, some studies revealed a high power for the prediction of mortality: Kovach et al analyzed hospital mortality in a retrospective data set of 3,749 surgical and medical ICU patients with suspected infection, while Zhang et al investigated retrospectively 5,109 cardiac surgical patients, with both studies resulting in AUCROC > 0.8 for the prediction of mortality by using the SOFA and qSOFA scores [22,24]. However, it must be highlighted that, contrary to our approach, the patients of Kovach´s study were adjusted for a baseline risk factor for death, which increased the predictive quality of the SOFA score, while Zhang et al only included cardiac surgical patients, which are hardly comparable with the sources of systemic in ammation in our study.…”
Section: Discussionsupporting
confidence: 84%
“…Furthermore, a meta-analysis of 229,480 patients compared the qSOFA score and SIRS criteria for their ability to predict patient mortality, and revealed only a slightly better performance of the qSOFA score, which supports the ndings of our study [23]. However, some studies revealed a high power for the prediction of mortality: Kovach et al analyzed hospital mortality in a retrospective data set of 3,749 surgical and medical ICU patients with suspected infection, while Zhang et al investigated retrospectively 5,109 cardiac surgical patients, with both studies resulting in AUCROC > 0.8 for the prediction of mortality by using the SOFA and qSOFA scores [22,24].…”
Section: Discussionsupporting
confidence: 84%