| gupta_mica_risk | R Documentation |
Calculates the percentage risk of perioperative Myocardial Infarction (MI) or Cardiac Arrest (MICA) within 30 days of surgery. This model was derived from the NSQIP database and provides a site-specific risk assessment based on five preoperative predictors.
gupta_mica_risk(age, creatinine_mg_dl, asa_class, functional_status,
procedure_type)
age |
Numeric. Patient age in years. |
creatinine_mg_dl |
Numeric. Preoperative serum creatinine in mg/dL. |
asa_class |
Numeric (1-5). American Society of Anesthesiologists Physical Status Classification. 1: Normal healthy patient. 2: Mild systemic disease. 3: Severe systemic disease. 4: Severe systemic disease that is a constant threat to life. 5: Moribund. |
functional_status |
String. Preoperative functional status. Options: "independent", "partially_dependent", "totally_dependent". |
procedure_type |
String. Surgical site/category. Valid options include: "anorectal", "aortic", "bariatric", "brain", "breast", "cardiac", "ent", "foregut_hepatopancreatobiliary", "gallbladder_appendix_adrenal_spleen", "hernia_ventral_inguinal", "intestinal", "neck_thyroid_parathyroid", "obgyn", "ortho_non_spine", "spine", "thoracic_non_cardiac", "urology", "vascular_non_aortic", "vein". |
A list containing:
MICA_Risk_Percent |
The estimated percentage risk of perioperative MI or Cardiac Arrest. |
Inputs |
A record of the parameters used for the calculation. |
Gupta PK, Gupta H, Sundaram A, et al. Development and validation of a risk calculator for prediction of cardiac risk after surgery. Circulation. 2011;124(4):381-387. doi:10.1161/CIRCULATIONAHA.110.015701
# Example 1: High Risk (Aortic Surgery)
# 75yo, Cr 1.6, ASA 4, Partially Dependent
gupta_mica_risk(75, 1.6, 4, "partially_dependent", "aortic")
# Example 2: Low Risk (Breast Surgery)
# 45yo, Cr 0.8, ASA 1, Independent
gupta_mica_risk(45, 0.8, 1, "independent", "breast")
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