Predictive factors for reintervention after abdominal surgery

Espinoza C.; Tapia M.M.; Oñate I.; Buenaño K.; Vera J.; Vaca A.; Yaguachi M.; Flores D.; Morales M.; Silva F.; Araujo P. · Revista Latinoamericana de Hipertension (2024) · DOI: 10.5281/zenodo.10684525

Resumen

Unplanned reintervention (UR) occurs across a broad spectrum of general surgical procedures; and it is considered to be the postoperative complication that confers the highest risk of mortality. As a result, the ability to predict such events can significantly improve the general outcomes of patients. Available evidence concerning risk factors for UR in abdominal surgery is far-reaching but highly segmented. Some risk factors can be applied to many procedures, but others are highly bound to specific procedures. Considering the above, designing a predictive model for all abdominal surgeries is a formidable task. Nevertheless, a general predictive model should be developed to reach as many procedures as possible, and then arranged and segmented to fit specific procedures. This review aims to investigate risk factors associated with UR and available models concerning reoperation decision-making.

Instituciones: Universidad Nacional de Tumbes