Introduction: a large number of patients are admitted to the emergency department with non-vascular neurological alterations that resemble an ischemic stroke (IS), known as Stroke Mimic (SM). The objective of the study was to identify predictive factors and frequent diagnoses of SM in patients of the "ResISSSTE Cerebro" network to help the clinician differentiate these entities and optimize decision-making. Material and methods: observational, analytical, retrospective study of patients with brain code from the "ResISSSTE Cerebro" network in Mexico City fromMarch 2021 to February 2023. We performed a univariate and multivariate analysis using logistic regression with SM vs IS as dependent variables. to identify predictors of MS. Results: of 448 patients analyzed, 299 (67%) IS, 149 (33%) SM. SM was independently associated with age ≤