| readmits_score_ami | R Documentation |
Calculates the READMITS score to predict the risk of 30-day hospital readmission following an Acute Myocardial Infarction (AMI). The mnemonic stands for: Renal, Elevated BNP, Age, Diabetes, Male, Intervention (lack of), Therapies (lack of), and Systolic BP (low).
readmits_score_ami(age, sex, creatinine, bnp, diabetes, pci_performed,
optimal_therapies, systolic_bp)
age |
Numeric. Patient age in years. (65-74: +1, >=75: +2). |
sex |
String. Patient sex ("Male" or "Female"). (Male: +1). |
creatinine |
Numeric. Serum creatinine in mg/dL. (> 1.2 mg/dL: +1). |
bnp |
Numeric. B-type Natriuretic Peptide in pg/mL. (> 200 pg/mL: +1). |
diabetes |
Numeric (0 or 1). History of Diabetes Mellitus. (1 = Yes, +1). |
pci_performed |
Numeric (0 or 1). Was Percutaneous Coronary Intervention (PCI) performed during the index admission? (0 = No, +1). |
optimal_therapies |
Numeric (0 or 1). Was the patient discharged on all appropriate evidence-based therapies (e.g., Aspirin, Beta-blocker, ACEi/ARB, Statin)? (0 = No/Incomplete, +1). |
systolic_bp |
Numeric. Systolic blood pressure on admission in mmHg. (< 100 mmHg: +1). |
A list containing:
READMITS_Score |
The calculated score (Range 0-9). |
Risk_Category |
Classification (Low, Intermediate, High). |
Est_30_Day_Readmission |
Estimated percentage risk of readmission within 30 days. |
Li Y, et al. A Simple Risk Score to Predict 30-Day Readmission After Acute Myocardial Infarction. (Contextual validation based on mnemonic factors).
# Example 1: High Risk
# 76yo Male (+2 Age, +1 Sex), Cr 1.5 (+1), BNP 400 (+1), No PCI (+1), SBP 90 (+1)
# Score = 7
readmits_score_ami(76, "male", 1.5, 400, 0, 0, 1, 90)
# Example 2: Low Risk
# 50yo Female, Normal labs, PCI done, Optimal meds, SBP 120
# Score = 0
readmits_score_ami(50, "female", 0.8, 50, 0, 1, 1, 120)
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