Validation of a biomarker‐based mortality score for cardiogenic shock patients: Comparison with a clinical risk score
Risk of mortality
DOI:
10.1002/ehf2.15234
Publication Date:
2025-02-03T07:39:47Z
AUTHORS (15)
ABSTRACT
Cardiogenic shock (CS) is the deadliest manifestation of acute heart failure, with persistently high mortality rates and a lack recent therapeutic breakthroughs. Accurate risk prediction crucial in clinical decision-making design future trials. We aimed to validate CLIP score, biomarker-based score comprising cystatin C, lactate, interleukin-6 NT-proBNP, for predicting coronary syndrome (ACS) related CS, compare its predictive value previously published CardShock score. The study post hoc analysis Study, prospective, observational European multicentre on CS. was calculated 12 h after hospital admission, ability predict 90-day assessed using are under curve (AUC) receiver-operating characteristics (ROC) analysis. discriminative compared by comparing AUC's. cohort dichotomized into low groups optimal cut-off derived from ROC Kaplan-Meier curves were constructed evaluate stratification when combining scores. (n = 121) comprised 77% 93) men median age 67 years (IQR 61-76). A total 21% 25) patients had non-ACS demonstrated appropriate accuracy (AUC 0.84, 95% CI 0.77-0.91), comparable 0.77 [95% 0.69-0.85]; P 0.064 comparison). 0.28 stratified (65% mortality) (16% groups. In addition, incorporating enhanced all categories. within accurately predicted CS complemented has potential utility dynamic assessment could inform management trial design.
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