idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Diagnosis of sepsis in children has been improved based on new research findings. An international research team co-led by the Luregn Schlapbach from the University and the University Children’s Hospital Zurich harnessed artificial intelligence to analyze data from over 3.5 million children suffering from this life-threatening disease.
Sepsis is a life-threatening infection that can lead to organ failure. Every year, around 3 million children worldwide die of the disease. Of those who survive a sepsis infection, every third child suffers long-term consequences, sometimes severe. Until now, there were no evidence-based criteria for diagnosing sepsis in children.
In a big-data project spanning several years, an international task force analyzed data from over 3.5 million children suffering from sepsis. The researchers applied machine-learning methods to extrapolate from the data analysis evidence-based criteria for diagnosing sepsis in children. They used their findings to develop a novel scoring system, called the Phoenix Sepsis Score. The scoring system enables physicians to quickly and reliably determine the severity of organ failure in children with sepsis.
Global relevance
“These findings are hugely significant. For the first time, we have standardized and evidence-based criteria that can be used to improve the early detection of this serious disease in the future,” says Prof. Dr. med. Luregn Schlapbach. Schlapbach, who led the study together with Prof. Scott Watson of the Seattle Children’s Hospital, USA, is professor of pediatric intensive care medicine at the University of Zurich and senior physician in intensive care medicine at the University Children’s Hospital Zurich.
The big-data project included data from developing countries in South America, Africa and Asia – a first for a sepsis study of this kind. This means the new criteria are equally suitable for small and large hospitals in different types of healthcare systems anywhere in the world.
The international significance of the findings led to the study being published in a double publication in the renowned JAMA journal (LINK).
National action plan against sepsis
The University Children's Hospital is actively involved in the Swiss Sepsis National Action Plan with a focus on children. Specialists from the hospital also work closely with the University of Zurich to improve the diagnosis and treatment of sepsis with the help of artificial intelligence, new biomarkers and other innovative methods.
The current study is also important for the National Program for Quality Improvement in Sepsis, funded by the Swiss Quality Commission. The aim of the program is the implementation of the Swiss Sepsis National Action Plan to improve prevention, early detection, treatment and follow-up care of sepsis infections in children and adults.
Prof. Dr. med. Luregn Schlapbach, senior physician in intensive care medicine and neonatology at the University Children’s Hospital Zurich.
Media Office: +41 44 266 73 85 or kommunikation@kispi.uzh.ch
Luregn J. Schlapbach, R. Scott Watson, Lauren R. Sorce et al. International Consensus Criteria for Pediatric Sepsis and Septic Shock, JAMA, 21 January 2024, DOI: 10.1001/jama.2024.0179
https://www.news.uzh.ch/en/articles/media/2024/Sepsis-Kispi.html
Every year, around 3 million children worldwide die of the disease. Of those who survive a sepsis in ...
University Children’s Hospital Zurich
Merkmale dieser Pressemitteilung:
Journalisten
Biologie, Ernährung / Gesundheit / Pflege, Medizin
überregional
Forschungsergebnisse, Forschungsprojekte
Englisch
Every year, around 3 million children worldwide die of the disease. Of those who survive a sepsis in ...
University Children’s Hospital Zurich
Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.
Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).
Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.
Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).
Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).
