Risk equations for prosthetic joint infections (PJIs) in UK: a retrospective study using the Clinical Practice Research Datalink (CPRD) AURUM and GOLD databases.
Stefano PerniPolina ProkopovichPublished in: BMJ open (2024)
The risk prediction tool developed here could help prevent PJI through identifying modifiable risk factors pre-surgery and identifying the patients most likely to benefit from close monitoring/preventive actions. As derived from the UK population, such tool will help the National Health Service reduce the impact of PJI on its resources and patient lives.
Keyphrases
- risk factors
- end stage renal disease
- clinical practice
- ejection fraction
- minimally invasive
- newly diagnosed
- chronic kidney disease
- prognostic factors
- quality improvement
- case report
- peritoneal dialysis
- acute coronary syndrome
- machine learning
- percutaneous coronary intervention
- atrial fibrillation
- artificial intelligence