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Identification of risk factors associated with prolonged hospital stay following primary knee replacement surgery: a retrospective, longitudinal observational study.

Rebecca WilsonRuta MargelyteMaria Theresa RedanielEmily EylesTimothy JonesChristopher PenfoldAshley BlomAndrew ElliottAlison HarperTim KeenMartin PittAndrew Judge
Published in: BMJ open (2022)
The regression models could be used to identify which patients are likely to occupy hospital beds for longer. This could be helpful in scheduling operations to aid hospital efficiency by planning these patients' operations for when the hospital is less busy.
Keyphrases
  • end stage renal disease
  • healthcare
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • acute care
  • minimally invasive
  • coronary artery disease
  • knee osteoarthritis