Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid.
Carlos Raúl Ramírez MedinaMengyu FengYun-Ting HuangDavid A JenkinsMeghna JaniPublished in: RMD open (2024)
High dose of initial opioid prescription, a history of self-harm, obesity, high deprivation, substance use disorder and age were associated with long-term opioid use. This study underscores the importance of recognising these individual risk factors in fibromyalgia patients to better navigate the complexities of opioid use and facilitate patient-centred care.
Keyphrases
- end stage renal disease
- machine learning
- ejection fraction
- high dose
- newly diagnosed
- chronic kidney disease
- pain management
- metabolic syndrome
- healthcare
- prognostic factors
- peritoneal dialysis
- insulin resistance
- patient reported outcomes
- palliative care
- genome wide
- dna methylation
- weight loss
- adipose tissue
- skeletal muscle
- weight gain
- health insurance
- high fat diet induced