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A clinical risk prediction model to identify patients with hepatorenal syndrome at hospital admission.

Jejo David KoolaGuanhua ChenBradley A MalinDaniel FabbriEdward D SiewSamuel B HoOlga V PattersonMichael E Matheny
Published in: International journal of clinical practice (2019)
We developed a probabilistic risk model to diagnose HRS within 24 hours of hospital admission using routine clinical variables in the largest ever published HRS cohort. The performance was excellent and this model may help identify high-risk patients for HRS and promote early intervention.
Keyphrases
  • end stage renal disease
  • emergency department
  • healthcare
  • randomized controlled trial
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • systematic review
  • patient reported outcomes