Install
openclaw skills install osteo-gcModels BMD T-score trajectories and 10-year fracture risk in chronic glucocorticoid users with uncertainty and ACR 2022 osteoporosis treatment guidance.
openclaw skills install osteo-gcExecutable clinical skill for modeling bone mineral density (BMD) T-score trajectories in patients on chronic glucocorticoid therapy. Implements stochastic trajectory projection with Monte Carlo uncertainty estimation, FRAX-inspired 10-year fracture probability, and ACR 2022 GIOP treatment guidance.
Part of the RheumaAI ecosystem by Frutero Club.
Glucocorticoid-induced osteoporosis (GIOP) is the most common form of secondary osteoporosis, affecting 30-50% of patients on chronic GCs. Bone loss is biphasic: rapid (6-12% trabecular in year 1) then chronic (2-3%/yr). Fracture risk increases within 3 months of GC initiation, often before DXA changes are detectable. Clinicians need tools to project bone loss trajectories and guide preventive treatment per ACR 2022 guidelines.
from osteo_gc import PatientProfile, project_tscore, print_report
patient = PatientProfile(
age=65, sex="F", bmi=24.0,
t_score_lumbar=-1.8, t_score_femoral_neck=-1.5,
gc_name="prednisone", gc_dose_mg=10.0,
gc_duration_months=6, gc_planned_months=12,
postmenopausal=True, prior_fracture=False,
treatment="none", calcium_vitd=False,
)
result = project_tscore(patient, seed=42)
print_report(result)
Python 3.8+ standard library only (math, random, dataclasses, typing). No external packages required.