What question did this study set out to answer?

To assess the validity and clinical applicability of four established mortality risk stratification systems in patients undergoing off-pump coronary artery bypass surgery.

March 14, 2003HeartOpen Access

Validation of four different risk stratification systems in patients undergoing off-pump coronary artery bypass surgery: a UK multicentre analysis of 2223 patients: Table 1

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Why the study?

Do established risk stratification systems accurately predict in-hospital mortality in patients undergoing off-pump coronary artery bypass surgery?

Population

2,223 patients undergoing off-pump coronary artery bypass surgery across eight cardiac surgical centres in…

Design

Cohort

Follow-up

in-hospital

Authors

SASharif Al‐RuzzehLeeds General Infirmary

Discussion

Member takes

Implication

May support UK CABG Bayes model for off-pump CABG risk stratification; leaves open external validation in broader cohorts.

Key Points

To assess the validity and clinical applicability of four established mortality risk stratification systems in patients undergoing off-pump coronary artery bypass surgery.
Analyzed multicentre data from 2223 patients undergoing off-pump coronary artery bypass surgery across eight cardiac surgical centres in the UK.
Calculated predicted mortality scores using the Parsonnet score, EuroSCORE, ACC/AHA system, and the UK CABG Bayes model.
Assessed model calibration using the Hosmer-Lemeshow (HL) test and discrimination using receiver operating characteristic (ROC) curve analysis.
In-hospital mortality occurred in 1.3% of patients (30 of 2223 patients).
The UK CABG Bayes model demonstrated good calibration (HL test p = 0.3) and the highest discrimination (ROC area = 0.81), whereas the ACC/AHA system showed acceptable calibration (HL test p = 0.7) but lower discrimination (ROC area = 0.75).
The Parsonnet score and EuroSCORE both exhibited poor calibration (HL test p < 0.001 and p = 0.008, respectively), with ROC areas of 0.74 and 0.75.

Structured PICO

Do established risk stratification systems accurately predict in-hospital mortality in patients undergoing off-pump coronary artery bypass surgery?

Population

2,223 patients undergoing off-pump coronary artery bypass surgery (OPCAB) across eight cardiac surgical centres in the UK

Intervention

Risk stratification using the UK CABG Bayes model, Parsonnet score, EuroSCORE, and ACC/AHA system

Outcome

In-hospital mortality (assessed via calibration using Hosmer-Lemeshow test and discrimination using ROC curve area)hard clinical

The UK CABG Bayes model is a well-calibrated and highly discriminative risk stratification tool for patients undergoing off-pump coronary artery bypass surgery in the UK.

Cite This Study

Sharif Al‐Ruzzeh (2003) studied this question.

synapsesocial.com/papers/6a8c25bb510c7253b5dee003 https://doi.org/10.1136/heart.89.4.432

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Validation of four different risk stratification systems in patients undergoing off-pump coronary artery bypass surgery: a UK multicentre analysis of 2223 patients: Table 1

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Validation of four different risk stratification systems in patients undergoing off-pump coronary artery bypass surgery: a UK multicentre analysis of 2223 patients: Table 1

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Also Consider

Also Consider