Development and Internal Validation of a Multivariable Prediction Model for Postoperative Bleeding in Patients Undergoing Bariatric Surgery (The POD 1-DISCHARGE Calculator) - Takeaways - MDSpire
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Creation and Internal Assessment of a Multivariable Predictive Model for Postoperative Hemorrhage in Patients Undergoing Bariatric Procedures (The POD 1-DISCHARGE Tool)

  • By

  • Ksawery Bieniaszewski

  • Michał Szymański

  • Maciej Wilczyński

  • Justyna Bigda

  • Magdalena Prud

  • Małgorzata Dobrzycka

  • Monika Proczko-Stepaniak

  • January 3, 2026

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  • 1

    Bariatric surgery effectively treats severe obesity and related comorbidities, but postoperative bleeding occurs in 1-4% of patients.

  • 2

    A multivariable prediction model was developed to identify patients at risk for postoperative bleeding, supporting individualized perioperative care.

  • 3

    The model integrates pre- and post-operative laboratory markers, enhancing risk stratification beyond clinical history alone.

  • 4

    Existing machine learning models lack clinical integration and standardized thresholds, highlighting the need for validated multivariable tools.

  • 5

    The study adhered to TRIPOD guidelines and included data from a high-volume bariatric center over a seven-year period.

Original Source(s)

Development and Internal Validation of a Multivariable Prediction Model for Postoperative Bleeding in Patients Undergoing Bariatric Surgery (The POD 1-DISCHARGE Calculator)

  • by Ksawery Bieniaszewski, Michał Szymański, Maciej Wilczyński, Justyna Bigda, Magdalena Prud, Małgorzata Dobrzycka, Monika Proczko-Stepaniak

  • January 3, 2026

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