Influencing factors of oral frailty in Chinese maintenance hemodialysis patients: a Bayesian network analysis

Key Points

• This research aims to identify factors influencing oral frailty in Chinese maintenance hemodialysis patients using Bayesian network analysis.
• Employs Bayesian network analysis to evaluate associations between various factors and oral frailty.
• Involves assessment of factors such as polypharmacy, malnutrition, and social support among patients.
• Examines both direct and indirect influences on oral frailty.
• Identified polypharmacy, malnutrition, eating alone, and general frailty as direct influences on oral frailty.
• Sociodemographic factors, dietary patterns, poor oral health, depression, and social support had indirect effects on oral frailty.
• Suggests the need for early risk identification and multilevel interventions during dialysis care.