Zhili Wang1, Yu He1, Xiaolong Zhang2, Zhengxiu Luo3. 1. Department of Respiratory Medicine Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, China. 2. Department of Pediatrics, Jiangjin District Central Hospital, Chongqing, 400014, China. 3. Department of Respiratory Medicine Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, China. luozhengxiu816@hospital.cqmu.edu.cn.
Abstract
BACKGROUND: Age-adjusted Sequential Organ Failure Assessment (SOFA) and age-adjusted quick SOFA (qSOFA) scores have been developed to predict poor outcomes in children with infection. We investigated the prognostic performance of age-adjusted SOFA and age-adjusted qSOFA scores and compared them with the systemic inflammatory response syndrome (SIRS) criteria for predicting mortality in children with infection. METHODS: A bivariate random-effects regression model was used for synthesis of diagnostic test data. RESULTS: A total of 14 studies invoing 70,194 participants were included. The pooled sensitivity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.74-0.88), 0.46 (95% CI, 0.22-0.71), and 0.79 (95% CI, 0.66-0.88), respectively. The pooled specificity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.62 (95% CI, 0.45-0.77), 0.90 (95% CI, 0.66-0.98), and 0.39 (95% CI, 0.26-0.54), respectively. The area under the summary receiver operating characteristic curve (AUSROC) for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.79-0.85), 0.66 (95% CI, 0.62-0.70), and 0.64 (95% CI, 0.60-0.68), respectively. Different baseline populations, different SOFA adaptation methods and different cut-offs used for age-adjusted SOFA may be potential sources of heterogeneity. CONCLUSIONS: Age adjusted SOFA score is a useful tool for predicting mortality in children with sepsis/suspected sepsis. IMPACT: First study to investigate the prognostic performance of age-adjusted sequential organ failure assessment (SOFA) and age adjusted quick SOFA (qSOFA) scores in comparison to the systemic inflammatory response criteria (SIRS) for the prediction of mortality in children with sepsis. The age-adjusted SOFA score predicts poor outcomes with high sensitivity in children with sepsis Low sensitivity limits the utility of age-adjusted qSOFA as a simple predictive tool for adverse outcomes. Developing another enhanced or modified bedside tool with higher sensitivity may be necessary.
BACKGROUND: Age-adjusted Sequential Organ Failure Assessment (SOFA) and age-adjusted quick SOFA (qSOFA) scores have been developed to predict poor outcomes in children with infection. We investigated the prognostic performance of age-adjusted SOFA and age-adjusted qSOFA scores and compared them with the systemic inflammatory response syndrome (SIRS) criteria for predicting mortality in children with infection. METHODS: A bivariate random-effects regression model was used for synthesis of diagnostic test data. RESULTS: A total of 14 studies invoing 70,194 participants were included. The pooled sensitivity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.74-0.88), 0.46 (95% CI, 0.22-0.71), and 0.79 (95% CI, 0.66-0.88), respectively. The pooled specificity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.62 (95% CI, 0.45-0.77), 0.90 (95% CI, 0.66-0.98), and 0.39 (95% CI, 0.26-0.54), respectively. The area under the summary receiver operating characteristic curve (AUSROC) for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.79-0.85), 0.66 (95% CI, 0.62-0.70), and 0.64 (95% CI, 0.60-0.68), respectively. Different baseline populations, different SOFA adaptation methods and different cut-offs used for age-adjusted SOFA may be potential sources of heterogeneity. CONCLUSIONS: Age adjusted SOFA score is a useful tool for predicting mortality in children with sepsis/suspected sepsis. IMPACT: First study to investigate the prognostic performance of age-adjusted sequential organ failure assessment (SOFA) and age adjusted quick SOFA (qSOFA) scores in comparison to the systemic inflammatory response criteria (SIRS) for the prediction of mortality in children with sepsis. The age-adjusted SOFA score predicts poor outcomes with high sensitivity in children with sepsis Low sensitivity limits the utility of age-adjusted qSOFA as a simple predictive tool for adverse outcomes. Developing another enhanced or modified bedside tool with higher sensitivity may be necessary.
Authors: Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus Journal: JAMA Date: 2016-02-23 Impact factor: 56.272
Authors: Scott L Weiss; Mark J Peters; Waleed Alhazzani; Michael S D Agus; Heidi R Flori; David P Inwald; Simon Nadel; Luregn J Schlapbach; Robert C Tasker; Andrew C Argent; Joe Brierley; Joseph Carcillo; Enitan D Carrol; Christopher L Carroll; Ira M Cheifetz; Karen Choong; Jeffry J Cies; Andrea T Cruz; Daniele De Luca; Akash Deep; Saul N Faust; Claudio Flauzino De Oliveira; Mark W Hall; Paul Ishimine; Etienne Javouhey; Koen F M Joosten; Poonam Joshi; Oliver Karam; Martin C J Kneyber; Joris Lemson; Graeme MacLaren; Nilesh M Mehta; Morten Hylander Møller; Christopher J L Newth; Trung C Nguyen; Akira Nishisaki; Mark E Nunnally; Margaret M Parker; Raina M Paul; Adrienne G Randolph; Suchitra Ranjit; Lewis H Romer; Halden F Scott; Lyvonne N Tume; Judy T Verger; Eric A Williams; Joshua Wolf; Hector R Wong; Jerry J Zimmerman; Niranjan Kissoon; Pierre Tissieres Journal: Intensive Care Med Date: 2020-02 Impact factor: 17.440
Authors: Christopher W Seymour; Foster Gesten; Hallie C Prescott; Marcus E Friedrich; Theodore J Iwashyna; Gary S Phillips; Stanley Lemeshow; Tiffany Osborn; Kathleen M Terry; Mitchell M Levy Journal: N Engl J Med Date: 2017-05-21 Impact factor: 91.245
Authors: Li Liu; Shefali Oza; Dan Hogan; Yue Chu; Jamie Perin; Jun Zhu; Joy E Lawn; Simon Cousens; Colin Mathers; Robert E Black Journal: Lancet Date: 2016-11-11 Impact factor: 79.321