Prognostic value of the 5-SENSE Score to predict focality of the seizure-onset zone as assessed by stereoelectroencephalography: a prospective international multicentre validation study.

Introduction: Epilepsy surgery is the only curative treatment for patients with drug-resistant focal epilepsy. Stereoelectroencephalography (SEEG) is the gold standard to delineate the seizure-onset zone (SOZ). However, up to 40% of patients are subsequently not operated as no focal non-eloquent SOZ can be identified. The 5-SENSE Score is a 5-point score to predict whether a focal SOZ is likely to be identified by SEEG. This study aims to validate the 5-SENSE Score, improve score performance by incorporating auxiliary diagnostic methods and evaluate its concordance with expert decisions. Methods and analysis: Non-interventional, observational, multicentre, prospective study including 200 patients with drug-resistant epilepsy aged ≥15 years undergoing SEEG for identification of a focal SOZ and 200 controls at 22 epilepsy surgery centres worldwide. The primary objective is to assess the diagnostic accuracy and generalisability of the 5-SENSE in predicting focality in SEEG in a prospective cohort. Secondary objectives are to optimise score performance by incorporating auxiliary diagnostic methods and to analyse concordance of the 5-SENSE Score with the expert decisions made in the multidisciplinary team discussion. Ethics and dissemination: Prospective multicentre validation of the 5-SENSE score may lead to its implementation into clinical practice to assist clinicians in the difficult decision of whether to proceed with implantation. This study will be conducted in accordance with the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (2014). We plan to publish the study results in a peer-reviewed full-length original article and present its findings at scientific conferences. Trial registration number: NCT06138808.

Patient and Caregiver Depression in Jordan After a First Stroke.

BACKGROUND: Poststroke depression among patients is well-recognized, while caregiver depression is understudied. The interaction between patient and caregiver depression is also unclear. METHODS: This cross-sectional and follow-up study recruited 108 patient-caregiver dyads after the first-ever stroke. Demographic and clinical data, stroke severity (NIH Stroke Scale score), functional outcome (Barthel Index), and residual disability (modified Rankin Score) were documented. Using the self-reported Patient Health Questionnaire-9, we screened patients and caregivers for depressive symptoms upon admission and after 1 month. Changes in the prevalence and severity of depression were calculated. The Pearson correlation test and logistic regression analysis were conducted to evaluate both the correlation between both groups and significant predictors of depression. RESULTS: In total, 89 patients and 96 caregivers responded to both screenings. Depression was reported by 13.5% and 27.0% of patients on admission and after 1 month, and 9.4% and 18.8% of caregivers, respectively. Caregiver depression on admission was significantly correlated with patient depression on admission (P=0.031). In addition, depression in caregivers after 1 month was a significant predictor of patient depression (P=0.008). Predictors of caregiver depression after 1 month were female caregivers (P=0.026), caring for a male patient (P=0.045), higher mRS scores after 1 month (P=0.013), longer admissions (P=0.017), caregiver between 17 and 35 years of age compared with 54 to 70 years of age (P=0.030), and caring for a patient with poststroke depression at 1 month poststroke (P=0.003). CONCLUSIONS: Both stroke survivors and their caregivers are at high risk for depression, with a potential interaction between depression in the 2 groups.