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Updated: Jul 9, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Sepsis mortality prediction based on predisposition, infection and response
Rui P Moreno1, Barbara Metnitz, Leopold Adler
1Unidade de Cuidados Intensivos Polivalente, Hospital de St. António dos Capuchos, Centro Hospitalar de Lisboa Central E.P.E., 1150-069 Lisbon, Portugal. r.moreno@mail.telepac.pt
A modified PIRO concept effectively predicts mortality in sepsis patients. This system helps physicians stratify ICU patients upon admission for tailored management based on death risk.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Epidemiology
Background:
- Sepsis poses a significant global health challenge with high mortality rates.
- Accurate prediction of sepsis-related mortality is crucial for effective patient management.
- The existing PIRO (predisposition, insult, response, organ dysfunction) concept requires empirical validation for mortality prediction in sepsis.
Purpose of the Study:
- To evaluate the applicability of a modified PIRO concept for predicting mortality in patients with infection and sepsis.
- To test the predictive value of predisposition, insult, and response factors on sepsis mortality using a large multicenter database.
Main Methods:
- A substudy of the SAPS 3 multicenter, multinational cohort study.
- Included 2,628 ICU patients with infection or sepsis requiring >48h stay.
- Utilized three variable boxes based on the PIRO concept: predisposition, infection (insult), and response (SOFA score at 48h).
Main Results:
- The study analyzed 2,628 patients, with 40.6% overall hospital mortality.
- Higher mortality was observed in patients with septic shock (52.5%) compared to infection alone (34.7%).
- Factors related to predisposition, infection, and response were significantly associated with hospital mortality.
Conclusions:
- A modified three-level PIRO system can objectively define risk for sepsis mortality.
- This system aids physicians in stratifying ICU patients at admission or shortly after.
- Improved patient stratification can lead to better-tailored management strategies based on individual risk of death.
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