| sex_shock_score | R Documentation |
Calculates the SEX-SHOCK Risk Score to predict the risk of developing in-hospital cardiogenic shock (CS) in patients admitted with Acute Coronary Syndrome (ACS) treated with PCI. This score was developed to address sex-specific disparities in risk prediction, outperforming the ORBI score in women by incorporating biomarkers (CRP, Creatinine) and LVEF alongside traditional factors.
sex_shock_score(sex, age, st_segment_elevation, lvef_category, creatinine, crp,
creatinine_units = "mg/dL")
sex |
String. Patient sex ("Male" or "Female"). |
age |
Numeric. Patient age in years. |
st_segment_elevation |
Numeric (0 or 1). Presence of ST-segment elevation on presenting ECG (i.e., STEMI). (1 = Yes). |
lvef_category |
String. Left Ventricular Ejection Fraction category. "lt_35": < 35%. "35_50": 35-50%. "gt_50": > 50%. |
creatinine |
Numeric. Serum creatinine level on admission. |
crp |
Numeric. C-Reactive Protein level on admission (mg/L). |
creatinine_units |
String. Units for creatinine input. Options: "mg/dL" (default) or "umol/L". |
A list containing:
Inputs |
A summary of the patient variables provided for risk stratification. |
Message |
Information regarding the model source (Wang et al., 2024). |
Wang W, et al. Sex-specific prediction of cardiogenic shock after acute coronary syndromes: the SEX-SHOCK score. Eur Heart J. 2024. doi:10.1093/eurheartj/ehae593
# Example: 65yo Female with STEMI, LVEF 40%, Cr 1.0, CRP 15
sex_shock_score("female", 65, 1, "35_50", 1.0, 15, "mg/dL")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.