Publications by authors named "Ryszard Mizera"

Background: We aimed to establish diagnostic criteria for bleeding independently associated with mortality after noncardiac surgery (BIMS) defined as bleeding during or within 30 days after noncardiac surgery that is independently associated with mortality within 30 days of surgery, and to estimate the proportion of 30-day postoperative mortality potentially attributable to BIMS.

Methods: This was a prospective cohort study of participants ≥45 yr old having inpatient noncardiac surgery at 12 academic hospitals in eight countries between 2007 and 2011. Cox proportional hazards models evaluated the adjusted relationship between candidate diagnostic criteria for BIMS and all-cause mortality within 30 days of surgery.

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Article Synopsis
  • Diagnostic criteria for Bleeding Independently associated with Mortality after noncardiac Surgery (BIMS) involve significant bleeding that results in a postoperative hemoglobin level under 70 g/L, blood transfusions, or is determined to be the cause of death.
  • A study of over 16,000 participants revealed that 17.3% experienced BIMS, leading to the development of an electronic risk calculator to predict this complication using factors such as hemoglobin levels and patient history.
  • The risk calculator was found to accurately predict BIMS with a C-statistic of 0.84, while a simpler index showed somewhat lower accuracy but still improved decision-making compared to relying solely on hemoglobin levels.
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Introduction: Various definitions of bleeding have been used in perioperative studies without systematic assessment of the diagnostic criteria for their independent association with outcomes important to patients. Our proposed definition of bleeding impacting mortality after noncardiac surgery (BIMS) is bleeding that is independently associated with death during or within 30 days after noncardiac surgery. We describe our analysis plan to sequentially 1) establish the diagnostic criteria for BIMS, 2) estimate the independent contribution of BIMS to 30-day mortality and 3) develop and internally validate a clinical prediction guide to estimate patient-specific risk of BIMS.

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