AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Logistic regression findings emphasize that Killip classification at presentation (Coef = 1.1394, p -value = 0.0000) is a highly significant predictor, reinforcing its pivotal role in early risk assessment.

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Potassium (coefficient = 0.8889, p -value = 0.0208, CI = [0.1274, 1.6505]) is another significant parameter, showing its importance in risk stratification, while CKI (coefficient = −0.0004, p -value = 0.0596, CI = [−0.0008, 0.0000]) is close to significance, indicating its potential relevance but with a more borderline effect.

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