Key result
Novel ECG-based CAFICU score predicts ~370% higher 30-day mortality in cardiac ICU patients.
Why the study?
Existing ICU risk scoring systems like SAPS3 lack specificity for cardiac ICU patients.
Does the CAFICU score improve risk stratification for 30-day intrahospital mortality in cardiac ICU patients compared to the SAPS3 score?
Cohort (n=1,057)
No
Does the CAFICU score improve risk stratification for 30-day intrahospital mortality in cardiac ICU patients compared to the SAPS3 score?
An automated, ECG-based cardiac autonomic risk stratification score (CAFICU) significantly improves the prediction of 30-day intrahospital mortality in cardiac ICU patients when combined with the standard SAPS3 score.
Aims Treatment capacities on intensive care units (ICUs) are a limited resource reserved for high-risk patients. To facilitate risk stratification of ICU patients, several scoring systems have been developed over time. Among them, the Simplified Acute Physiology Score 3 (SAPS3) is the gold standard, but lacks specificity for cardiac ICU patients. Here, we propose a novel, fully automated, electrocardiogram-based cardiac autonomic risk stratification score (CAFICU) that substantially adds to current risk stratification strategies. Methods and results CAFICU is based on periodic repolarization dynamics, a marker of sympathetic overactivity and deceleration capacity of heart rate, a parameter of vagal imbalance. We developed CAFICU in a retrospective cohort of 355 ICU patients and subsequently validated the score in a cohort of 702 ICU patients, enrolled between February–November 2018 and December 2018–April 2020 at a large cardiac ICU in a tertiary hospital. The primary endpoint of the study was 30-day intrahospital mortality. Thirty (8.5%) and 100 (14.2%) patients reached the primary endpoint in the training and validation cohorts, respectively. CAFICU was significantly higher in non-survivors than survivors (2.58 ± 1.34 vs. 1.76 ± 0.97 units; P = 0.003 in the training cohort and 2.20 ± 1.05 vs. 1.70 ± 0.83 units; P < 0.001 in the validation cohort) and was a strong predictor of mortality in both the training [hazard ratio (HR) 25.67; 95% confidence interval (CI) 3.50–188.40; P = 0.001] and validation cohorts (HR 4.70; 95% CI 2.79–7.92; P < 0.001). In the pooled cohort, CAFICU significantly improved risk stratification based on SAPS3 (IDI-increase 0.033; 95% CI 0.010–0.061; P < 0.001). Conclusion ECG-based automatic autonomic risk stratification by means of PRD and DC is highly predictive of short-term mortality in the ICU and can be combined with the SAPS3-Score to identify patients with increased risk for intrahospital mortality. This method can be integrated in conventional monitors and may improve risk stratification strategies in cardiac ICUs.
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Klemm et al. (2025) conducted a cohort in Cardiac intensive care unit patients (n=1,057). Cardiac autonomic risk stratification score (CAFICU) was evaluated on 30-day intrahospital mortality (HR 4.70, 95% CI 2.79-7.92, p=<0.001). The novel ECG-based CAFICU score strongly predicted 30-day intrahospital mortality in cardiac ICU patients (validation cohort HR 4.70; 95% CI 2.79-7.92; P<0.001).
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