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A Novel Risk Assessment Model Predicts Major Bleeding Risk at Admission in Medical Inpatients.

Benjamin G MittmanMegan SheehanLisa KojimaNicholas CassachiaOleg LishebaBo HuMatthew PappasMichael B Rothberg
Published in: medRxiv : the preprint server for health sciences (2023)
From a large population of medical inpatients, we developed and validated a RAM to accurately predict bleeding risk at admission. The CCBM may be used in conjunction with VTE risk calculators to decide between mechanical and pharmacological prophylaxis for at-risk patients.
Keyphrases
  • risk assessment
  • healthcare
  • emergency department
  • end stage renal disease
  • newly diagnosed
  • atrial fibrillation
  • venous thromboembolism
  • chronic kidney disease
  • peritoneal dialysis
  • prognostic factors
  • human health