cliot (version 1.0.0)

vte_bleed_score: VTE-BLEED Score

Description

Calculates the VTE-BLEED score to predict the risk of major bleeding during chronic anticoagulation therapy (stable anticoagulation after the first month) in patients with venous thromboembolism (VTE).

Usage

vte_bleed_score(active_cancer, sex, uncontrolled_hypertension, anemia,
                history_of_bleeding, age, renal_dysfunction)

Value

A list containing:

VTE_BLEED_Score

The calculated total score (Range 0-9).

Risk_Category

Classification (Low Risk < 2, High Risk >= 2).

Observed_Bleeding_Rate

Estimated incidence of major bleeding based on the derivation cohort.

Arguments

active_cancer

Numeric (0 or 1). Presence of active cancer (excluding basal cell or squamous cell carcinoma of the skin). (1 = Yes, +2 points).

sex

String. Patient sex. ("male" or "female"). Note: Male sex combined with uncontrolled hypertension adds +1 point.

uncontrolled_hypertension

Numeric (0 or 1). Presence of uncontrolled arterial hypertension (SBP > 140 mmHg). (1 = Yes).

anemia

Numeric (0 or 1). Presence of anemia (Hemoglobin < 13 g/dL for men, < 12 g/dL for women). (1 = Yes, +1.5 points).

history_of_bleeding

Numeric (0 or 1). History of prior bleeding (major or non-major clinically relevant). (1 = Yes, +1.5 points).

age

Numeric. Patient age in years. (>= 60 years adds +1.5 points).

renal_dysfunction

Numeric (0 or 1). Renal dysfunction (Creatinine clearance < 60 mL/min). (1 = Yes, +1.5 points).

References

Klok FA, Barco S, Konstantinides SV, et al. External validation of the VTE-BLEED score for predicting major bleeding in stable anticoagulated patients with venous thromboembolism. Thromb Haemost. 2017;117(6):1164-1170. doi:10.1160/TH16-12-0929

Examples

# Example 1: Low Risk
# Female, 50yo, No comorbidities
vte_bleed_score(0, "female", 0, 0, 0, 50, 0)

# Example 2: High Risk
# Male, Uncontrolled HTN (+1), Age 65 (+1.5)
# Score = 2.5
vte_bleed_score(0, "male", 1, 0, 0, 65, 0)