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

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

  • 0 min

Share

  • 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

Related Content

Robotic hand-sewn vs. laparoscopic linear-stapled Roux-en-Y gastric bypass: a propensity score-matched analysis of primary and conversion cases

Probiotic Effect on Quality of Life, Bowel Habits and Weight Loss after Different Types of Bariatric Surgeries, a Randomized Controlled Trial

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease