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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Participants were selected retrospectively from a list of patients who had undergone surgical intervention for POP using polypropylene mesh at Prisma Health Greenville Memorial Hospital, as detailed in Waugh et al [10]. The patients were randomly identified and recruited via phone call until 10 patients with mesh exposure and 10 without were enrolled for this study. Participants with POP recurrence or those taking medications that could affect inflammatory responses were excluded from the study.

Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

JMIR Form Res 2025;9:e59631

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