Literature DB >> 24919160

Sepsis severity score: an internationally derived scoring system from the surviving sepsis campaign database*.

Tiffany M Osborn1, Gary Phillips, Stanley Lemeshow, Sean Townsend, Christa A Schorr, Mitchell M Levy, R Phillip Dellinger.   

Abstract

OBJECTIVE: As the Surviving Sepsis Campaign was assessing patient-level data over multiple countries, we sought to evaluate the use of a pragmatic and parsimonious severity-of-illness scoring system for patients with sepsis in an attempt to provide appropriate comparisons with practical application.
DESIGN: Prospective, observational evaluation. PATIENTS: Data from 23,438 patients with suspected or confirmed sepsis from 218 hospitals in 18 countries were evaluated.
SETTING: This analysis was conducted on prospective data submitted to a database from January 2005 through March 2010.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Maximum likelihood logistic regression was used to estimate model coefficients, and these were then used to develop a Sepsis Severity Score. The probability of hospital mortality was estimated using the Sepsis Severity Score as the sole variable in a logistic regression model. Univariable logistic regression determined which variables were included in the multivariable predictor model. The scale of continuous variables was assessed using fractional polynomials. Two-way interactions between variables were considered for model inclusion if the interaction p value is less than 0.05. The prediction model was developed based on randomly selecting 90% of available patients and was validated on the remaining 10%, as well as by using a bootstrapping technique. The p values for the Hosmer-Lemeshow goodnessof-fit statistic in the developmental and validation datasets were considerably greater than 0.05, suggesting good calibration. Development and validation areas under the receiver operator curve curves were 0.736 and 0.748, respectively. Observed and estimated probabilities of hospital mortality for the total population were both 0.334. The validation and the developmental datasets were gradually compared over deciles of predicted mortality and found to be very similar.
CONCLUSION: The Sepsis Severity Score accurately estimated the probability of hospital mortality in severe sepsis and septic shock patients. It performed well with respect to calibration and discrimination, which remained consistent over deciles. It functioned well over international geographic regions. This robust, population-specific evaluation of international severe sepsis patients provides an effective and accurate mortality estimate allowing for appropriate quality comparisons with practical clinical and research application.

Entities:  

Mesh:

Year:  2014        PMID: 24919160     DOI: 10.1097/CCM.0000000000000416

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  18 in total

1.  Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year study.

Authors:  Mitchell M Levy; Andrew Rhodes; Gary S Phillips; Sean R Townsend; Christa A Schorr; Richard Beale; Tiffany Osborn; Stanley Lemeshow; Jean-Daniel Chiche; Antonio Artigas; R Phillip Dellinger
Journal:  Intensive Care Med       Date:  2014-10-01       Impact factor: 17.440

2.  A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data.

Authors:  Dee W Ford; Andrew J Goodwin; Annie N Simpson; Emily Johnson; Nandita Nadig; Kit N Simpson
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

3.  Determining the Electronic Signature of Infection in Electronic Health Record Data.

Authors:  Matthew M Churpek; Jay Dumanian; Nicole Dussault; Sivasubramanium V Bhavani; Kyle A Carey; Emily R Gilbert; Erum Arain; Chen Ye; Christopher J Winslow; Nirav S Shah; Majid Afshar; Dana P Edelson
Journal:  Crit Care Med       Date:  2021-07-01       Impact factor: 9.296

4.  When do confounding by indication and inadequate risk adjustment bias critical care studies? A simulation study.

Authors:  Michael W Sjoding; Kaiyi Luo; Melissa A Miller; Theodore J Iwashyna
Journal:  Crit Care       Date:  2015-04-30       Impact factor: 9.097

5.  Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study.

Authors:  Meri Poukkanen; Suvi T Vaara; Matti Reinikainen; Tuomas Selander; Sara Nisula; Sari Karlsson; Ilkka Parviainen; Juha Koskenkari; Ville Pettilä
Journal:  Crit Care       Date:  2015-03-27       Impact factor: 9.097

6.  External validation of the sepsis severity score.

Authors:  Marek Wełna; Barbara Adamik; Waldemar Goździk; Andrzej Kübler
Journal:  Int J Immunopathol Pharmacol       Date:  2020 Jan-Dec       Impact factor: 3.219

7.  The Association of Fever and Antipyretic Medication With Outcomes in Mechanically Ventilated Patients: A Cohort Study.

Authors:  Emily M Evans; Rebecca J Doctor; Brian F Gage; Richard S Hotchkiss; Brian M Fuller; Anne M Drewry
Journal:  Shock       Date:  2019-08       Impact factor: 3.454

8.  Cardiac Troponin Is a Predictor of Septic Shock Mortality in Cancer Patients in an Emergency Department: A Retrospective Cohort Study.

Authors:  Zhi Yang; Aiham Qdaisat; Zhihuang Hu; Elizabeth A Wagar; Cielito Reyes-Gibby; Qing H Meng; Sai-Ching J Yeung
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

9.  A risk-model for hospital mortality among patients with severe sepsis or septic shock based on German national administrative claims data.

Authors:  Daniel Schwarzkopf; Carolin Fleischmann-Struzek; Hendrik Rüddel; Konrad Reinhart; Daniel O Thomas-Rüddel
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

10.  Influence of pathogen and focus of infection on procalcitonin values in sepsis patients with bacteremia or candidemia.

Authors:  Daniel O Thomas-Rüddel; Bernhard Poidinger; Matthias Kott; Manfred Weiss; Konrad Reinhart; Frank Bloos
Journal:  Crit Care       Date:  2018-05-13       Impact factor: 9.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.