https://repositorio.uca.edu.ar/handle/123456789/657 Mon, 06 Apr 2026 11:28:33 GMT 2026-04-06T11:28:33Z https://repositorio.uca.edu.ar/handle/123456789/20459 Título: Multimorbidity in patients with acute heart failure across world regions and country income levels (REPORT-HF): a prospective, multicentre, global cohort study Autor: Gerhardt, Teresa; Gerhardt, Louisa M. S.; Ouwerkerk, Wouter; Roth, Gregory A.; Dickstein, Kenneth; Collins, Sean P.; Cleland, John G. F.; Dahlstrom, Ulf; Tay, Wan Ting; Ertl, Georg; Hassanein, Mahmoud; Perrone, Sergio V.; Ghadanfar, Mathieu; Schweizer, Anja; Obergfell, Achim; Filippatos, Gerasimos; Lam, Carolyn S. P.; Tromp, Jasper; Angermann, Christiane E. Resumen: Multimorbidity (two or more comorbidities) is common in patients with heart failure. The reported prevalence of multimorbidity in patients with heart failure ranges between 43% and 98% and varies among geographical regions. Multimorbidity complicates guideline-directed pharmacological treatment and worsens prognosis. Additionally, comorbidities in heart failure are important drivers of poor health-related quality of life and hospitalisations. Previous reports on the effect of multimorbidity in heart failure included a limited number of countries, predominantly from western Europe, Asia, and North America or were based on populations participating in clinical trials, in which patients with comorbidities such as (severe) renal failure or cancer are commonly excluded. Patients with heart failure from lower-income regions report fewer comorbidities, but are at higher risk of mortality than patients from higher-income regions. This finding suggests regional differences in medical surveillance or the prognostic impact of multimorbidity. Contemporaneous representative data on multimorbidity from a global heart failure population, which are needed to quantify international differences, are scarce. Furthermore, the effect of multimorbidity on heart failure treatment and non-heart failure related therapies for comorbidities have not been systematically evaluated. Therefore, this analysis aimed to assess prevalence, prognostic effect, and implications for treatment of multimorbidity across world regions in the global prospective Registry to Assess Medical Practice and Longitudinal Observation for Treatment of Heart Failure (REPORT-HF) cohort study. Sun, 01 Jan 2023 00:00:00 GMT https://repositorio.uca.edu.ar/handle/123456789/20459 2023-01-01T00:00:00Z https://repositorio.uca.edu.ar/handle/123456789/20237 Título: Impact of psychosocial determinants on sleep quality decreased during the COVID-19 lockdown: Evidence from an urban panel study Autor: Abulafia, Carolina Andrea; Paternó Manavella, María Agustina; Rodríguez Espínola, Solange Sylvia; Brangold, Mauro; Simonelli, Guido; Salvia, Agustín; Vigo, Daniel Eduardo Resumen: Objectives: To explore the relationship between socioeconomic and health-related changes during the COVID-19 lockdown and sleep quality. Methods: A panel study was conducted with 667 participants from the Argentine Social Debt Survey in 2019 (pre lockdown), 2020 (during lockdown), and 2021 (post lockdown). Generalized linear mixed-effects models were performed to explore the following predictors of self-reported sleep quality over time: age, educational level, living in poverty, employment status, place of residence, psychological distress, and health status. Results: Reporting poor health and residing in Buenos Aires were associated with poor sleep quality, independent of the lockdown. Advanced age emerged as a significant predictor of poor sleep quality after the lockdown. Differences in sleep quality associated with living in poverty and psychological distress disappeared during lockdown and resumed post lockdown. Conclusions: This work highlights the importance of the dynamic interplay between socioeconomic and health-related factors when assessing sleep quality. In this urban Argentine panel study, the COVID-19 lockdown appeared to mitigate poverty-related disparities in sleep quality, underscoring the need to refocus attention on these vulnerable subpopulations in the post-lockdown period, when such disparities reemerged. Wed, 01 Jan 2025 00:00:00 GMT https://repositorio.uca.edu.ar/handle/123456789/20237 2025-01-01T00:00:00Z https://repositorio.uca.edu.ar/handle/123456789/20085 Título: Update on Treatments for Parkinson's Disease Motor Fluctuations – An International Parkinson and Movement Disorder Society Evidence‐Based Medicine Review Autor: de Bie, Rob M.A.; Katzenschlager, Regina; Swinnen, Bart E.K.S.; Peball, Marina; Lim, Shen-Yang; Mestre, Tiago A.; Pérez Lloret, Santiago; Coelho, Miguel; Aquino, Camila; Tan, Ai Huey; Bruno, Veronica; Dijk, Joke M.; Heim, Beatrice; Lin, Chin-Hsien; Azevedo Kauppila, Linda; Litvan, Irene; Spijker, René; Seppi, Klaus; Costa, João; Sampaio, Cristina; Fox, Susan H.; Silverdale, Monty A. Resumen: Objective: To update evidence-based medicine recommendations for treating motor fluctuations of Parkinson's disease (PD). Background: The International Parkinson and Movement Disorder Society (MDS) Evidence Based Medicine in Movement Disorders Committee recommendations for the treatments of PD were first published in 2002 and regularly updated. The current review uses a new methodology, including the Cochrane Risk of Bias tool and a modified version of GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). Methods: On January 1, 2023, a literature search was conducted without date limit in the MEDLINE, Embase, and Cochrane databases using the following search terms: Parkinson disease, levodopa and, for the Embase database, randomized controlled trial (RCT). The inclusion criteria for studies were: patients with PD, on oral levodopa therapy, experiencing motor fluctuations, investigating an intervention that was (commercially) available in at least one country, study design RCT, and with a follow-up duration of at least 3 months. Results: A total of 102 studies were included. Levodopa extended release, pramipexole immediate release and extended release, ropinirole immediate release, rotigotine, opicapone, safinamide, and bilateral subthalamic nucleus deep brain stimulation (DBS) were assessed as efficacious, and continuous intestinal levodopa infusion, continuous subcutaneous levodopa, continuous subcutaneous apomorphine, ropinirole prolonged release, ropinirole patch, entacapone, rasagiline, istradefylline, amantadine extended release, zonisamide, bilateral globus pallidus DBS, and pallidotomy were assessed as likely efficacious for the treatment of motor fluctuations in people with PD who are already being treated with levodopa. Conclusions: There are several treatment options that can improve motor fluctuations in PD. These recommendations will assist physicians and patients in determining which intervention to use. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. Wed, 01 Jan 2025 00:00:00 GMT https://repositorio.uca.edu.ar/handle/123456789/20085 2025-01-01T00:00:00Z https://repositorio.uca.edu.ar/handle/123456789/20082 Título: Temporal convolutional networks work as general feature extractors for single-particle diffusion analysis Autor: Saavedra, Lucas A.; Barrantes, Francisco J. Resumen: The application of deep learning (DL) approaches to the study of particle diffusion is becoming increasingly widespread, achieving highly accurate predictive performance that is often challenging to attain with traditional analytical tools. DL has made successful incursions in the field of single-particle tracking of biological molecules in 2- and 3-dimensional spaces. In this work, we introduce a WaveNet-based deep neural network (WadNet)- and convolution-based DL network coined Wad temporal convolutional networks (WadTCN) and its transformer-based variant to decode single-value or pointwise prediction of dynamic properties of bidimensional trajectories. We trained WadTCN to be tested in all 1st and 2nd Andi Challenge tasks with bidimensional trajectories, examined how WadTCN performed when learning is transferred from one network to another to accelerate training, and evaluated its capacity to segment trajectories with a data-driven approach, at variance with other works that rely on mean changes or parameter thresholding to determine change points. WadTCN was further compared to a pure temporal convolutional network and RANDI, a top-performing recurrent neural network in the 1st Andi Challenge. We also assessed the ability of WadTCN to classify and segment single-particle trajectories of a membrane-associated protein, the nicotinic acetylcholine receptor, in the plane of a live cell plasma membrane. WadTCN outperformed similar analytical tools in predicting anomalous diffusion exponents and demonstrated notable robustness in more challenging tasks like the segmentation of trajectories into two states and prediction of the diffusion coefficient of diffusing molecules. Furthermore, most layers of WadTCN perform as general feature extractors, suggesting its applicability in other tasks requiring training acceleration. Wed, 01 Jan 2025 00:00:00 GMT https://repositorio.uca.edu.ar/handle/123456789/20082 2025-01-01T00:00:00Z