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The SIRS criteria have better performance for predicting infection than qSOFA scores in the emergency department.

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Title: The SIRS criteria have better performance for predicting infection than qSOFA scores in the emergency department.
Authors: Gando, Satoshi, Shiraishi, Atsushi, Abe, Toshikazu, Kushimoto, Shigeki, Mayumi, Toshihiko, Fujishima, Seitaro, Hagiwara, Akiyoshi, Shiino, Yasukazu, Shiraishi, Shin-ichiro, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Sasaki, Junichi, Takuma, Kiyotsugu, Yamakawa, Kazuma, The Japanese Association for Acute Medicine (JAAM) Sepsis Prognostication in Intensive Care Unit and Emergency Room (SPICE) (JAAM SPICE) Study Group, Hoshino, Atsumi, Abe, Toshiaki, Sugita, Manabu, Hanaki, Yoshihiro
Source: Scientific Reports; 5/15/2020, Vol. 10 Issue 1, p1-9, 9p
Subject Terms: SYSTEMIC inflammatory response syndrome, MULTIPLE organ failure, HOSPITAL admission & discharge, INFECTION, DIAGNOSIS, HOSPITAL emergency services
Abstract: Systemic inflammatory response syndrome (SIRS) reportedly has a low performance for distinguishing infection from non-infection. We explored the distribution of the patients diagnosed by SIRS (SIRS patients) or a quick sequential organ failure assessment (qSOFA) (qSOFA patients) and confirmed the performance of the both for predicting ultimate infection after hospital admission. We retrospectively analyzed the data from a multicenter prospective study. When emergency physicians suspected infection, SIRS or the qSOFA were applied. The area under the receiver operating characteristic curves (AUC) was used to assess the performance of the SIRS and qSOFA for predicting established infection. A total of 1,045 patients were eligible for this study. The SIRS patients accounted for 91.6% of qSOFA patients and they showed a higher rate of final infection than that of non-SIRS patients irrespective of the qSOFA diagnosis. The AUCs for predicting infection with SIRS and a qSOFA were 0.647 and 0.582, respectively. The SIRS significantly predicted an ultimate infection (AUC, 0.675; p = 0.018) in patients who met the SIRS and qSOFA simultaneously. In conclusion, the SIRS patients included almost all qSOFA patients. SIRS showed a better performance for predicting infection for qSOFA in those who met both definitions. [ABSTRACT FROM AUTHOR]
Copyright of Scientific Reports is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The SIRS criteria have better performance for predicting infection than qSOFA scores in the emergency department.
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  Data: <searchLink fieldCode="AR" term="%22Gando%2C+Satoshi%22">Gando, Satoshi</searchLink><br /><searchLink fieldCode="AR" term="%22Shiraishi%2C+Atsushi%22">Shiraishi, Atsushi</searchLink><br /><searchLink fieldCode="AR" term="%22Abe%2C+Toshikazu%22">Abe, Toshikazu</searchLink><br /><searchLink fieldCode="AR" term="%22Kushimoto%2C+Shigeki%22">Kushimoto, Shigeki</searchLink><br /><searchLink fieldCode="AR" term="%22Mayumi%2C+Toshihiko%22">Mayumi, Toshihiko</searchLink><br /><searchLink fieldCode="AR" term="%22Fujishima%2C+Seitaro%22">Fujishima, Seitaro</searchLink><br /><searchLink fieldCode="AR" term="%22Hagiwara%2C+Akiyoshi%22">Hagiwara, Akiyoshi</searchLink><br /><searchLink fieldCode="AR" term="%22Shiino%2C+Yasukazu%22">Shiino, Yasukazu</searchLink><br /><searchLink fieldCode="AR" term="%22Shiraishi%2C+Shin-ichiro%22">Shiraishi, Shin-ichiro</searchLink><br /><searchLink fieldCode="AR" term="%22Hifumi%2C+Toru%22">Hifumi, Toru</searchLink><br /><searchLink fieldCode="AR" term="%22Otomo%2C+Yasuhiro%22">Otomo, Yasuhiro</searchLink><br /><searchLink fieldCode="AR" term="%22Okamoto%2C+Kohji%22">Okamoto, Kohji</searchLink><br /><searchLink fieldCode="AR" term="%22Sasaki%2C+Junichi%22">Sasaki, Junichi</searchLink><br /><searchLink fieldCode="AR" term="%22Takuma%2C+Kiyotsugu%22">Takuma, Kiyotsugu</searchLink><br /><searchLink fieldCode="AR" term="%22Yamakawa%2C+Kazuma%22">Yamakawa, Kazuma</searchLink><br /><searchLink fieldCode="AR" term="%22The+Japanese+Association+for+Acute+Medicine+%28JAAM%29+Sepsis+Prognostication+in+Intensive+Care+Unit+and+Emergency+Room+%28SPICE%29+%28JAAM+SPICE%29+Study+Group%22">The Japanese Association for Acute Medicine (JAAM) Sepsis Prognostication in Intensive Care Unit and Emergency Room (SPICE) (JAAM SPICE) Study Group</searchLink><br /><searchLink fieldCode="AR" term="%22Hoshino%2C+Atsumi%22">Hoshino, Atsumi</searchLink><br /><searchLink fieldCode="AR" term="%22Abe%2C+Toshiaki%22">Abe, Toshiaki</searchLink><br /><searchLink fieldCode="AR" term="%22Sugita%2C+Manabu%22">Sugita, Manabu</searchLink><br /><searchLink fieldCode="AR" term="%22Hanaki%2C+Yoshihiro%22">Hanaki, Yoshihiro</searchLink>
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  Data: Scientific Reports; 5/15/2020, Vol. 10 Issue 1, p1-9, 9p
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  Data: <searchLink fieldCode="DE" term="%22SYSTEMIC+inflammatory+response+syndrome%22">SYSTEMIC inflammatory response syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22MULTIPLE+organ+failure%22">MULTIPLE organ failure</searchLink><br /><searchLink fieldCode="DE" term="%22HOSPITAL+admission+%26+discharge%22">HOSPITAL admission & discharge</searchLink><br /><searchLink fieldCode="DE" term="%22INFECTION%22">INFECTION</searchLink><br /><searchLink fieldCode="DE" term="%22DIAGNOSIS%22">DIAGNOSIS</searchLink><br /><searchLink fieldCode="DE" term="%22HOSPITAL+emergency+services%22">HOSPITAL emergency services</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Systemic inflammatory response syndrome (SIRS) reportedly has a low performance for distinguishing infection from non-infection. We explored the distribution of the patients diagnosed by SIRS (SIRS patients) or a quick sequential organ failure assessment (qSOFA) (qSOFA patients) and confirmed the performance of the both for predicting ultimate infection after hospital admission. We retrospectively analyzed the data from a multicenter prospective study. When emergency physicians suspected infection, SIRS or the qSOFA were applied. The area under the receiver operating characteristic curves (AUC) was used to assess the performance of the SIRS and qSOFA for predicting established infection. A total of 1,045 patients were eligible for this study. The SIRS patients accounted for 91.6% of qSOFA patients and they showed a higher rate of final infection than that of non-SIRS patients irrespective of the qSOFA diagnosis. The AUCs for predicting infection with SIRS and a qSOFA were 0.647 and 0.582, respectively. The SIRS significantly predicted an ultimate infection (AUC, 0.675; p = 0.018) in patients who met the SIRS and qSOFA simultaneously. In conclusion, the SIRS patients included almost all qSOFA patients. SIRS showed a better performance for predicting infection for qSOFA in those who met both definitions. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Scientific Reports is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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