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Description

As we previously published, the Mortality Prediction Model version II appears to be the most accurate tool for predicting maternal mortality in obstetric populations, particularly in low- and middle-income countries such as Colombia and others in Latin America.

Our presentation focused on the use of severity of illness scores in pregnant patients. We evaluated several general severity indices and assessed how effectively they measure the clinical condition of obstetric patients. After completing our analysis, we concluded that the Mortality Prediction Model II outperformed other models in predicting maternal mortality within our specific patient population in Colombia.

One interesting observation during our study was seeing age listed as the first variable—something that's rarely emphasized in European models. It sparked some fascinating discussion, as this may reflect unique demographic or clinical realities in different regions, and certainly warrants further exploration.

This meeting has been an incredible experience. I was genuinely surprised—and inspired—by the diversity of participants, coming from all over the world. The exchange of experiences, especially around fluid management, has been extremely enriching.

What makes this congress special is that it doesn't focus solely on the critically ill adult population, but also includes discussions around surgical, obstetric, pediatric, and neonatal patients. That breadth makes it truly unique—and a valuable learning opportunity for all of us.