External Validation of SAFE Score to Predict Atrial Fibrillation Diagnosis after Ischemic Stroke: A Retrospective Multicenter Study

Diagnóstico; Fibrilación auricular; Ictus isquémicoDiagnòstic; Fibril·lació auricular; Ictus isquèmicDiagnosis; Atrial fibrillation; Ischemic strokeIntroduction: The screening for atrial fibrillation (AF) scale (SAFE score) was recently developed to provide a prediction of the diagnosis of AF after an ischemic stroke. It includes 7 items: age ≥ 65 years, bronchopathy, thyroid disease, cortical location of stroke, intracranial large vessel occlusion, NT-ProBNP ≥250 pg/mL, and left atrial enlargement. In the internal validation, a good performance was obtained, with an AUC = 0.88 (95% CI 0.84-0.91) and sensitivity and specificity of 83% and 80%, respectively, for scores ≥ 5. The aim of this study is the external validation of the SAFE score in a multicenter cohort. Methods: A retrospective multicenter study, including consecutive patients with ischemic stroke or transient ischemic attack between 2020 and 2022 with at least 24 hours of cardiac monitoring. Patients with previous AF or AF diagnosed on admission ECG were excluded. Results: Overall, 395 patients were recruited for analysis. The SAFE score obtained an AUC = 0.822 (95% CI 0.778-0.866) with a sensitivity of 87.2%, a specificity of 65.4%, a positive predictive value of 44.1%, and a negative predictive value of 94.3% for a SAFE score ≥ 5, with no significant gender differences. Calibration analysis in the external cohort showed an absence of significant differences between the observed values and those predicted by the model (Hosmer-Lemeshow's test 0.089). Conclusions: The SAFE score showed adequate discriminative ability and calibration, so its external validation is justified. Further validations in other external cohorts or specific subpopulations of stroke patients might be required.We acknowledge FIBAO (Biomedical Research Foundation) and Adrián Aparicio Mota for their assistance with statistical analysis. Adrián Aparicio (a FIBAO statistician) analyzed the collected data. The project was the winner of the IV research grant “STROKE PROJECT 2020” from the Spanish Society of Neurology

Soy Niña

Este libro pretende contribuir al reencuentro de la educación con esas finalidades que verdaderamente importan a una niña o un niño: ser feliz, jugar, vivir juntos y (no) aprender. Para ello hemos puesto el arte, nuestras experiencias y el saber acumulado al servicio del disfrute, el cuestionamiento, el análisis crítico y la construcción común de un presente deseable. Un texto colaborativo coordinado por Ignacio Calderón Almendros y realizado por alumnado de Educación y Cambio Social en el Grado en Educación Infantil de la Universidad de Málaga

EFFECT OF FORMATIVE FEEDBACK ON THE METACOGNITIVE DEBUGGING STRATEGY USING POLLING TECHNOLOGIES

The metacognitive debugging process is a cognition regulation strategy that is carried out by the student to recognize weaknesses in learning and adjust strategies to improve his/her performance. The effects of formative feedback on the metacognitive debugging strategy of participants were examined using the experimental method in an online course of pedagogical practice. A total of 300 responses obtained in the application of the MAI instrument of 60 students (20 in the control group, 20 in the experimental group (Individual) and 20 in another experimental group (Collaborative)) were quantitatively analyzed. The results revealed that using formative feedback significantly affects the metacognitive debugging strategy of the students: (1) The level of debugging strategy used in the experimental groups was significantly higher than the control group; (2) Teacher-Student feedback (collaborative group) showed better results for the debugging strategy. The groups that received formative feedback showed a positive effect on academic performance