Prediction of Osteoporosis Risk in People Living with HIV: A Nomogram for Early Identification

Key Points

• The aim is to develop a nomogram to predict osteoporosis risk in individuals living with HIV.
• Developed an internally validated model using clinical data from individuals with HIV.
• Applied statistical analysis to measure predictive accuracy.
• Utilized a nomogram for risk assessment of osteoporosis.
• The model demonstrates good predictive accuracy for osteoporosis risk among individuals living with HIV.
• Facilitates early identification and targeted interventions for at-risk individuals.

Abstract