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
- high dose
- ejection fraction
- risk factors
- chronic kidney disease
- newly diagnosed
- healthcare
- peritoneal dialysis
- chronic pain
- type diabetes
- metabolic syndrome
- prognostic factors
- insulin resistance
- palliative care
- gene expression
- patient reported outcomes
- genome wide
- weight loss
- skeletal muscle
- stem cell transplantation
- big data