What is the clinical evidence from this study?

Study design: Observational. Population: Intensive care unit (ICU) patients (n=13152). Intervention: Logistic Organ Dysfunction (LOD) System. Primary outcome: Patient vital status at hospital discharge (AUC 0.850).

What question did this study set out to answer?

To develop an objective scoring method for assessing the severity of organ dysfunction and predicting hospital mortality among intensive care unit patients on their first day of admission.

September 11, 1996JAMA

The Logistic Organ Dysfunction System

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Key result

The Logistic Organ Dysfunction (LOD) System accurately predicted hospital mortality among adult ICU patients, demonstrating very good discrimination with an area under the ROC curve of 0.850.

Why the study?

Can the Logistic Organ Dysfunction (LOD) System accurately assess severity levels for organ dysfunction and predict mortality in ICU patients?

Population

13,152 consecutive admissions to 137 adult medical/surgical ICUs in 12 countries from the European/North…

Design

Cohort

Follow-up

until hospital discharge

Authors

JGJean‐Roger Le GallCross-Cutting Cardiology

Discussion

Member takes

Implication

May support LOD for ICU mortality risk stratification; leaves open prospective validation before wider adoption.

Key Points

To develop an objective scoring method for assessing the severity of organ dysfunction and predicting hospital mortality among intensive care unit patients on their first day of admission.
Evaluated N=13,152 consecutive admissions to 137 adult medical and surgical ICUs across 12 countries from the European/North American Study of Severity Systems.
Applied logistic regression modeling to assess six organ systems (neurologic, cardiovascular, renal, pulmonary, hematologic, and hepatic), assigning 1 to 5 points across severity levels to create an overall score (0 to 22 points) correlated with mortality risk.
Model calibration demonstrated strong goodness-of-fit in both developmental (P=0.21) and validation samples (P=0.50).
Model discrimination was high, with an area under the receiver operating characteristic curve of 0.843 in the developmental sample and 0.850 in the validation sample.
Neurologic, cardiovascular, and renal dysfunctions were associated with the highest severity weights, followed by pulmonary, hematologic, and hepatic dysfunctions.

Study Design

Type

Observational (n=13,152)

Multicenter

Yes

Structured PICO

Can the Logistic Organ Dysfunction (LOD) System accurately assess severity levels for organ dysfunction and predict mortality in ICU patients?

Population

13,152 consecutive admissions to 137 adult medical/surgical ICUs in 12 countries from the European/North American Study of Severity Systems

Intervention

Logistic Organ Dysfunction (LOD) System (development and validation of a scoring system)

Outcome

Patient vital status at hospital dischargehard clinical

Main Result

Effect estimate: AUC 0.850

The LOD System provides an objective, validated tool for assessing organ dysfunction severity in ICU patients, which is useful for clinical trials.

Cite This Study

Jean‐Roger Le Gall (1996) conducted an observational in Intensive care unit (ICU) patients (n=13,152). Logistic Organ Dysfunction (LOD) System was evaluated on Patient vital status at hospital discharge (AUC 0.850). The Logistic Organ Dysfunction (LOD) System accurately predicted hospital mortality among adult ICU patients, demonstrating very good discrimination with an area under the ROC curve of 0.850.

synapsesocial.com/papers/6a09748530285ee4a13400fc https://doi.org/10.1001/jama.1996.03540100046027

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The Logistic Organ Dysfunction System

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Main Result

Cite This Study

The Logistic Organ Dysfunction System

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Main Result

Cite This Study

Also Consider

Also Consider