What question did this study set out to answer?

Describe the background, rationale, structure, and clinical performance of the ICNARC risk prediction model for critical care units.

September 11, 2008Current Opinion in Critical Care

Outcome prediction in critical care: the ICNARC model

Q: What is the clinical evidence from this study?

Study design: Review. Population: Critical care admissions (n=230000). Intervention: ICNARC risk prediction model vs. Preexisting models. Primary outcome: Risk of death before ultimate discharge from acute hospital.

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Key result

The ICNARC risk prediction model performs well compared with preexisting models in predicting the risk of death before ultimate discharge for all patients admitted to UK critical care units.

Why the study?

Does the ICNARC model accurately predict risk of death before ultimate discharge from acute hospital for all admissions to adult, general critical care units?

Population

All admissions to adult, general critical care units in the UK

Comparison

Intensive Care National Audit & Research Centre… vs Preexisting risk prediction models

Design

Review

Follow-up

before ultimate discharge from acute hospital

Authors

DHDavid A HarrisonGeneral Cardiology KRKathy RowanRoche (Switzerland)

Discussion

Member takes

Implication

May aid UK critical care mortality prediction; leaves open need for prospective validation elsewhere.

Key Points

Describe the background, rationale, structure, and clinical performance of the ICNARC risk prediction model for critical care units.
Developed using a clinical database of over 200,000 admissions across 163 adult, general critical care units in the UK.
Prospectively validated using independent data from over 30,000 admissions across 20 distinct units.
Designed to eliminate patient exclusion criteria (such as age under 16) and incorporate interaction terms between physiology scores and primary diagnostic categories.
Demonstrated strong comparative performance against preexisting risk models in independent UK validation datasets.
Improved model fit across individual diagnostic groups by integrating interactions between physiological derangement scores and diagnostic categories.
Provided a more equitable framework for clinical audit by comparing observed and expected outcomes across all admissions without exclusions.

Structured PICO

Does the ICNARC model accurately predict risk of death before ultimate discharge from acute hospital for all admissions to adult, general critical care units?

Population

All admissions to adult, general critical care units in the UK (developed using >200,000 admissions to 163 units, validated in >30,000 admissions to 20 units)

Intervention

Intensive Care National Audit & Research Centre (ICNARC) risk prediction model

Comparator

Preexisting risk prediction models

Outcome

Risk of death before ultimate discharge from acute hospitalhard clinical

The ICNARC model provides a well-validated, inclusive risk prediction tool for mortality in adult critical care admissions in the UK, outperforming preexisting models.

Cite This Study

Harrison et al. (2008) conducted a review in Critical care admissions (n=230,000). ICNARC risk prediction model vs. Preexisting models was evaluated on Risk of death before ultimate discharge from acute hospital. The ICNARC risk prediction model performs well compared with preexisting models in predicting the risk of death before ultimate discharge for all patients admitted to UK critical care units.

synapsesocial.com/papers/6a158aa5d64fa333899fca1a https://doi.org/10.1097/mcc.0b013e328310165a

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Outcome prediction in critical care: the ICNARC model

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Outcome prediction in critical care: the ICNARC model

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Also Consider

Also Consider