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Background: The current available evidence on the management of metastatic renal cell cancer (mRCC) in real life is scarce in our environment. We present a summary of the existing real-world data and the results of an analysis describing the clinical characteristics, treatments, and health outcomes of patients with mRCC in northern Spain., Methods: Retrospective observational study. Adult patients diagnosed with mRCC between Jan 2007 and Dec 2019 were included. Epidemiological, efficacy and toxicity data were collected. Median overall survival (OS) and progression-free survival (PFS) were determined using the Kaplan-Meier method., Results: A total of 829 patients were included (median age at diagnosis:63 years;73% men). Median follow-up was 180 months. The preponderant histology was clear cell (85%). In 50% the initial diagnosis was advanced disease. The distribution according to IMDC prognosis was good (24%), intermediate (50%) and poor (26%). The most frequent metastatic locations were lung (68.3%) and lymph node (41.0%). Most patients (95%) received a first line (1L) systemic treatment, 60% were treated with a second line (2L) of therapy and 37% received third line (3L). A VEGFR-TKIs was the most common treatment (1L: 90%, n = 507; 2L: 49%, n = 233; 3L: 54%, n = 156) followed by mTOR inhibitors (1L: 2%, n = 4; 2L: 27%, n = 126; 3L: 23%, n = 68) and immunotherapy (1L: 3.7%, n = 25; 2L: 27%, n = 126). Median OS was 24.5 months in the general population. According to IMDC prognostic groups, OS was 52.5, 25.7 and 9 months respectively. From the start of the 1L, 2L, and 3L treatment, median PFS was: 1L: 7.8 (6.8-9.0); 2L: 4.9 (4.3-5.5); 3L: 4.3 (3.8-4.8) months. No unexpected toxicity was reported., Conclusions: The Real-World Data on the management of mRCC in Northern Spain are comparable in epidemiology, efficacy, and safety to studies conducted in other areas of the world. The significant reduction in the number of patients receiving second and subsequent lines of therapy hampers the access to new therapies developed in this context., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Nowadays, considering society's highly demanding lifestyles, it is important to consider the usefulness of relaxation from the perspective of both psychology and clinical practice. The response towards relaxation (RResp) is a mind-body interaction that relaxes the organism or compensates for the physiological effects caused by stress. This work aims to automatically detect the different mental states (relaxation, rest and stress) in which RResps may occur so that complete feedback about the quality of the relaxation can be given to the subject itself, the psychologist or the doctor. To this end, an experiment was conducted to induce both states of stress and relaxation in a sample of 20 university students (average age of 25.76 ± 3.7 years old). The electrocardiographic and electrodermal activity signals collected from the participants produced a dataset with 1641 episodes or instances in which the previously mentioned mental states take place. This data was used to extract up to 50 features and train several supervised learning algorithms (rule-based, trees, probabilistic, ensemble classifiers, etc.) using and not using feature selection techniques. Besides, the authors synthesised the cardiac activity information into a single new feature and discretised it down to three levels. The experimentation revealed which features were most discriminating, reaching a classification average accuracy of up to 94.01 ± 1.73 % with the 6 most relevant features for the own-collected dataset. Finally, being restrictive, the same solution/subspace was tested with a dataset referenced in the bibliography (WESAD) and scored an average accuracy of 90.36 ± 1.62 %., Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest., (© The Author(s) 2022.)

Autonomic dysreflexia (AD) is a life-threatening condition for individuals with cervical or high-thoracic spinal cord injury (SCI). The profile of autonomic dysfunction in AD using validated clinical autonomic tests has not been described so far, although it could be useful to identify SCI patients at greater risk of developing AD non-invasively. With this objective, 37 SCI patients (27% female) were recruited, and hemodynamic and cardiac parameters were continuously monitored to determine the presence of AD, defined as an increase of systolic blood pressure of 20 mmHg or higher after bladder filling with saline. Then, standard autonomic function testing was performed, including Deep Breathing, Valsalva Manoeuvre and Tilt Table Test. Finally, baroreflex sensitivity (BRS), and spectral analysis of heart rate and blood pressure variability were measured at rest. Catecholamines and vasopressin levels were also measured at supine and upright positions. The severity of SCI was assessed through clinical and radiological examinations. AD was observed in 73.3% of SCI patients, being 63.6% of them asymptomatic during the dysreflexive episode. AD patients displayed a drop in sympathetic outflow, as determined by decreased noradrenalin plasma levels, reduced sympathovagal balance and increased BRS. In line with decreased sympathetic activity, the incidence of neurogenic orthostatic hypotension was higher in AD patients. Our results provide novel evidence regarding the autonomic dysfunction in SCI patients with AD compared to non-AD patients, posing non-invasively measured autonomic parameters as a powerful clinical tool to predict AD in SCI patients., (© 2021. Springer-Verlag GmbH, DE part of Springer Nature.)