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Updated: Oct 14, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
[Sepsis-associated deaths in Germany: characteristics and regional variation]
Carolin Fleischmann-Struzek1,2, Norman Rose3,4, Konrad Reinhart5
1Institut für Infektionsmedizin und Krankenhaushygiene, Universitätsklinikum Jena, Am Klinikum 1, 07740, Jena, Deutschland. carolin.fleischmann@med.uni-jena.de.
Background:
An estimated 11 million deaths are associated with sepsis worldwide. The epidemiology of sepsis-associated deaths in Germany is insufficiently understood, as sepsis deaths cannot be identified in the German mono-causal causes of death statistics.
Aim:
We aim to analyze the epidemiology and characteristics of sepsis-associated hospital deaths as well as to describe regional disparities.
Materials And Methods:
Retrospective cohort study based on the 2016 German-wide diagnosis related groups (DRG) statistics. Sepsis-associated hospital deaths were identified by explicit and implicit sepsis ICD-10-GM codes. Deaths were described based on clinical characteristics and place of residence by official municipality key. The proportion of sepsis-associated hospital deaths among all deaths was calculated based on the national population statistics.
Results:
In 2016, there were 58,689 hospital deaths associated with explicitly coded sepsis (14.1% of all hospital deaths). Sepsis mortality was 73 per 100,000 inhabitants and varied 1.8-fold between federal states and 7.9-fold between districts. Of the national deaths, 6.4% were sepsis-associated hospital deaths. This proportion was highest in the 40-64 years age group (9.6%) and higher in males compared to females (7.7% vs. 5.2%). Compared to this, the proportion of deaths associated with implicitly coded sepsis was 47.2% among all hospital deaths and 21.6% among all national deaths.
Discussion:
Although the direct cause of death cannot be assessed based on our data, the high proportion of sepsis-associated deaths calls for further research and epidemiological surveillance, e.g., by cohort studies or based on multi-causal death statistics in Germany.
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