Gender differences in KAsH score in acute myocardial infarction

Abstract

Abstract Funding Acknowledgements None. Introduction Risk stratification at admission in patients with myocardial infarction (MI) is crucial in the prognosis assessment. KAsH score is a useful and simple tool to predict in-hospital mortality. Objective To evaluate KAsH score predictive power according to gender in patients (P) who suffered MI (either STEMI or NSTEMI) Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with MI between 2016 and 2019. P without or uncompleted data were excluded. We compared 2 groups: Group 1 (G1) – male patients; Group 2 (G2) – female patients. Major adverse cardiac events (MACE) were defined as the composite of nonfatal stroke, nonfatal myocardial infarction and cardiovascular death. Statistical analysis used T test, chi-square, logistic regression and ROC curve analysis. Results Among the 611 P admitted with MI mean age was 66.6±12.7 years old and 64.8% were male. G1 was younger (64.7 ±12.8 years vs 64.7±12.8, p<0.001). The groups were similar regarding the other variables that compose the KAsH score, namely Killip-Kimbal class (p=0.668), systolic blood pressure (p=0.378), and heart rate (p=0.265). The mean KAsH categorization was 1.48 for G1 and 1.54 for G2 (p=0.05). The groups were also similar regarding other (CV) factors namely arterial hypertension, diabetes mellitus, dyslipidaemia, smoking and previous MI. In general, KAsH score was able to predict in-hospital mortality in our sample p=0.03, OR 2.45, CI 1.09-5.55 but with poor accuracy (AUC 0.355). However, the score did not predict 1 year mortality (p=0.337) or 1 year readmission (p=0.943). Regarding the groups, KAsH score did not predict in-hospital mortality for G1 (p=0.465) but it did predict the occurrence of MACE events, p=0.01, OR 2.20, CI 1.20-4.09, AUC 0.634. Considering G2 KAsH score predicted in-hospital mortality p=0.02, OR 4.10, CI 1.24-13.87 but with poor accuracy (AUC 0.211). It also predicted the occurrence of MACE events p=0.001, OR 4.61, CI 1.83-11.63 with fair accuracy (AUC 0.77). Such as in G1 the score did not predict 1 year mortality or readmission (p=0.178) Conclusion In our center, KAsH score performed better in female patients in predicting in-hospital mortality and MACE events. The score also predicted MACE events in male patients, but did not predict in-hospital mortality. More studies are needed to validate additional variables to the score and to validate KAsH score as a long-term prognostic tool.