Learn R Programming

cliot (version 1.0.0)

sex_shock_score: SEX-SHOCK Risk Score for Cardiogenic Shock in ACS

Description

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.

Usage

sex_shock_score(sex, age, st_segment_elevation, lvef_category, creatinine, crp,
                creatinine_units = "mg/dL")

Value

A list containing:

Inputs

A summary of the patient variables provided for risk stratification.

Message

Information regarding the model source (Wang et al., 2024).

Arguments

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".

References

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

Examples

Run this code
# 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")

Run the code above in your browser using DataLab