Home and workforce reintegration one year after thrombectomy in acute stroke patients.

INTRODUCTION: Endovascular thrombectomy (EVT) combined with intravenous thrombolysis is the current standard treatment for acute large-vessel occlusion stroke. Beyond clear clinical benefits in the acute and post-acute phases, comprehensive evaluations of long-term outcomes, including home and workforce reintegration, remain limited. This study aimed to assess home and workforce reintegration 1 year post-EVT in a cohort of acute stroke patients and explore their association with health-related quality of life (HRQoL). PATIENTS AND METHODS: We conducted a prospective observational study of 404 patients undergoing EVT at a tertiary university medical center between October 2019 and December 2021. Patients' functional outcomes were evaluated using the modified Rankin Scale (mRS), and HRQoL was assessed via the European Quality of Life Five Dimension Scale (EQ-5D). Data on occupational and living status were collected through standardized telephone interviews at 3- and 12-months post-treatment. RESULTS: Of 357 patients with 12-month follow-up data, 33.6% had a favorable outcome (mRS 0-2). Among stroke survivors, the rate of home reintegration without nursing care was 42.1%, and workforce reintegration among previously employed patients was 43.3% at 12 months. Both outcomes were significantly associated with improved HRQoL. Lower neurological deficits and younger age were predictive of successful home and workforce reintegration. DISCUSSION AND CONCLUSION: One year post-EVT, approximately 40%-50% of acute stroke patients successfully reintegrate into home and work settings. These findings underscore the need for ongoing support tailored to improving long-term reintegration and quality of life for stroke survivors. DATA ACCESS STATEMENT: The data supporting the findings of the study are available from the corresponding author upon reasonable request and in accordance to European data privacy obligations.

Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion.

OBJECTIVE: Predicting long-term functional outcomes shortly after a stroke is challenging, even for experienced neurologists. Therefore, we aimed to evaluate multiple machine learning models and the importance of clinical/radiological parameters to develop a model that balances minimal input data with reliable predictions of long-term functional independency. METHODS: Our study utilized data from the German Stroke Registry on patients with large anterior vessel occlusion who underwent endovascular treatment. We trained seven machine learning models using 30 parameters from the first day postadmission to predict a modified Ranking Scale of 0-2 at 90 days poststroke. Model performance was assessed using a 20-fold cross-validation and one-sided Wilcoxon rank-sum tests. Key features were identified through backward feature selection. RESULTS: We included 7485 individuals with a median age of 75 years and a median NIHSS score at admission of 14 in our analysis. Our Deep Neural Network model demonstrated the best performance among all models including data from 24 h postadmission. Backward feature selection identified the seven most important features to be NIHSS after 24 h, age, modified Ranking Scale after 24 h, premorbid modified Ranking Scale, intracranial hemorrhage within 24 h, intravenous thrombolysis, and NIHSS at admission. Narrowing the Deep Neural Network model's input data to these features preserved the high performance with an AUC of 0.9 (CI: 0.89-0.91). INTERPRETATION: Our Deep Neural Network model, trained on over 7000 patients, predicts 90-day functional independence using only seven clinical/radiological features from the first day postadmission, demonstrating both high accuracy and practicality for clinical implementation on stroke units.

An exosome-based secretion pathway is responsible for protein export from Leishmania and communication with macrophages.

Specialized secretion systems are used by numerous bacterial pathogens to export virulence factors into host target cells. Leishmania and other eukaryotic intracellular pathogens also deliver effector proteins into host cells; however, the mechanisms involved have remained elusive. In this report, we identify exosome-based secretion as a general mechanism for protein secretion by Leishmania, and show that exosomes are involved in the delivery of proteins into host target cells. Comparative quantitative proteomics unambiguously identified 329 proteins in Leishmania exosomes, accounting for >52% of global protein secretion from these organisms. Our findings demonstrate that infection-like stressors (37 degrees C +/- pH 5.5) upregulated exosome release more than twofold and also modified exosome protein composition. Leishmania exosomes and exosomal proteins were detected in the cytosolic compartment of infected macrophages and incubation of macrophages with exosomes selectively induced secretion of IL-8, but not TNF-alpha. We thus provide evidence for an apparently broad-based mechanism of protein export by Leishmania. Moreover, we describe a mechanism for the direct delivery of Leishmania molecules into macrophages. These findings suggest that, like mammalian exosomes, Leishmania exosomes function in long-range communication and immune modulation.