Observational studyAmerican journal of medical quality : the official journal of the American College of Medical Quality
Quick Sequential [Sepsis-Related] Organ Failure Assessment (qSOFA) and St. John Sepsis Surveillance Agent to Detect Patients at Risk of Sepsis: An Observational Cohort Study.
Observational study in American journal of medical quality : the official journal of the American College of Medical Quality. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Accuracy ofCritical care explorations · 2022Review
- Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.Nature medicine · 2022Article
- Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.Journal of medical Internet research · 2022Article
- Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting.Journal of medical Internet research · 2021Review
- DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.Artificial intelligence in medicine · 2021Article
- Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.JMIR medical informatics · 2020Article
- Machine learning for early detection of sepsis: an internal and temporal validation study.JAMIA open · 2020Article
- Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Validation of quick sequential organ failure assessment score for poor outcome prediction among emergency department patients with suspected infection.Clinical and experimental emergency medicine · 2019Article
- qSOFA is a Poor Predictor of Short-Term Mortality in All Patients: A Systematic Review of 410,000 Patients.Journal of clinical medicine · 2019Review
- Influencing outcomes with automated time zero for sepsis through statistical validation and process improvement.mHealth · 2019Article
- An investigation of sepsis surveillance and emergency treatment on patient mortality outcomes: An observational cohort study.JAMIA open · 2018Article
- Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA.Healthcare informatics research · 2018Article
- Novel Hematological Biomarker Adopted for Early Sepsis Detection Emerges as Predictor of Severity for COVID Infection.Missouri medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 2016 Sepsis-3 guidelines included the Quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) tool to identify patients at risk of sepsis. The objective was to compare the utility of qSOFA to the St. John Sepsis Surveillance Agent among patients with suspected infection. The primary outcomes were in-hospital mortality or admission to the intensive care unit. A multiple center observational cohort study design was used. The study population comprised 17 044 hospitalized patients between January and March 2016. For the primary analysis, receiver operator characteristic curves were constructed for patient outcomes using qSOFA and the St. John Sepsis Surveillance Agent, and the areas under the curve were compared against a baseline risk model. Time-to-event clinical process modeling also was applied. The St. John Sepsis Surveillance Agent, when compared to qSOFA, activated earlier and was more accurate in predicting patient outcomes; in this regard, qSOFA fell far behind on both objectives.
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