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Item type:Publication, Resilience as Empathy Predictor in Nursing Students(Universidad de Antioquia, 2025) ;Víctor P. Díaz Narváez ;Kendy Madero Zambrano ;Natalia Fortich Mesa ;Vivi Hoyos HoyosLindsey W. Vilca QuiroObjective. To determine if resilience can predict empathy. Specifically, explain what would be the effect of the resilience dimensions on the dimensions of empathy in the nursing students examined in this study. Methods. Cross-sectional study with the participation of 340 nursing students from a private university in Colombia. Jefferson’s Empathy Scale (student version) and the Resilience-Trait Scale were used. The complete psychometry of the Empathy and Resilience scales was carried out, followed by the application of Structural Equations. Results. Ecological Resilience predicts negatively the dimensions of “Compassionate Care” (β = -0.11) and “Walking in the patient’s shoes” (β = -0.19); the Engineering Resilience predicts positively the dimension “Walking in the patient’s shoes” (β = 0.08). Conclusion. Overall, resilience predicts empathy, thereby, introducing empathetic training of nursing students in the population studied must also include training in resilience.</jats:p>Scopus© Citations 1 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome(Springer Science and Business Media LLC, 2025-03-01) ;Gabriela Meza-Fuentes; ;Mario Barbé ;Ignacio SánchezAcute respiratory distress syndrome (ARDS) is a severe condition with high morbidity and mortality, characterized by significant clinical heterogeneity. This heterogeneity complicates treatment selection and patient inclusion in clinical trials. Therefore, the objective of this study is to identify physiological subphenotypes of ARDS using machine learning, and to determine ventilatory variables that can effectively discriminate between these subphenotypes in a bedside setting with high performance, highlighting potential utility for future clinical stratification approaches.</jats:p> Methodology A retrospective cohort study was conducted using data from our ICU, covering admissions from 2017 to 2021. The study included 224 patients over 18 years of age diagnosed with ARDS according to the Berlin criteria and undergoing invasive mechanical ventilation (IMV). Data on physiological and ventilatory variables were collected during the first 24 h IMV. We applied machine learning techniques to categorize subphenotypes in ARDS patients. Initially, we employed the unsupervised Gaussian Mixture Classification Model approach to group patients into subphenotypes. Subsequently, we applied supervised models such as XGBoost to perform root cause analysis, evaluate the classification of patients into these subgroups, and measure their performance.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Our models identified two ARDS subphenotypes with significant clinical differences and significant outcomes. Subphenotype Efficient (<jats:italic>n</jats:italic> = 172) was characterized by lower mortality, lower clinical severity and presented a less restrictive pattern with better gas exchange compared to Subphenotype Restrictive (<jats:italic>n</jats:italic> = 52), which showed the opposite. The models demonstrated high performance with an area under the ROC curve of 0.94, sensitivity of 94.2% and specificity of 87.5%, in addition to an F1 score of 0.85. The most influential variables in the discrimination of subphenotypes were distension pressure, respiratory frequency and exhaled carbon dioxide volume.Conclusion This study presents an approach to improve subphenotype categorization in ARDS. The generation of clustering and prediction models by machine learning involving clinical, ventilatory mechanics, and gas exchange variables allowed for more accurate stratification of patients. These findings have the potential to optimize individualized treatment selection and improve clinical outcomes in patients with ARDS.</jats:p> Graphical AbstractScopus© Citations 2 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Individualized evaluation of the total dose received by radiotherapy patients: Integrating in-field, out-of-field, and imaging doses(Elsevier BV, 2025-01) ;Maite Romero-Expósito ;Beatriz Sánchez-Nieto ;Mercedes Riveira-Martin ;Mona AziziAngeliki GkavonatsiouScopus© Citations 10 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Early high-sensitivity troponin elevation in predicting short-term mortality in sepsis: A protocol for a systematic review with meta-analysis(2024) ;Santiago Ferrière-Steinert ;Joaquín Valenzuela Jiménez ;Sebastián Heskia Araya ;Thomas KouyoumdjianJosé Ramos-Rojas<jats:sec id="sec001"> <jats:title>Background</jats:title> <jats:p>Sepsis is a common admission diagnosis in the intensive care unit (ICU). The Sepsis-3 consensus associates sepsis diagnosis with acute organ dysfunction. In these patients troponin elevation is a well-established phenomenon, but its clinical significance is not settled, as no systematic review has addressed the prognostic significance of the increasingly prevalent high-sensitivity troponin assays in acute organ dysfunction setting.</jats:p> <jats:p>This study aims to clarify the association between early serum troponin levels in high-sensitivity assays with short-term mortality risk in septic patients with acute organ dysfunction.</jats:p> </jats:sec> <jats:sec id="sec002"> <jats:title>Methods</jats:title> <jats:p>We will systematically search PubMed, Scopus and Embase for original articles; additionally, a manual search will be carried out through relevant literature. Generally, studies will be deemed eligible for inclusion if they evaluate the association between high-sensitivity troponin in the first 24 hours of admission and ICU, 30-days, or In-hospital mortality; in patients with septic shock or sepsis related to acute organ dysfunction. Two reviewers will independently select studies and extract the data. A meta-analysis for mortality outcome will be performed for comparative data regarding two effect measures: Odd ratios and Standardized Mean differences.</jats:p> </jats:sec> <jats:sec id="sec003"> <jats:title>Discussion</jats:title> <jats:p>This study will provide further evidence about the role of high-sensitivity troponin assays in predicting mortality in septic patients; potentially helping to guide further research and yielding valuable information for patient assessment.</jats:p> <jats:p>Conclusion about the certainty of evidence will be presented in a ´Summary of findings´ table.</jats:p> </jats:sec> <jats:sec id="sec004"> <jats:title>Trial registration</jats:title> <jats:p>PROSPERO registration:</jats:p> <jats:p>(<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024468883" xlink:type="simple">CRD42024468883</jats:ext-link>).</jats:p> </jats:sec>8Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis(2024) ;Cassandra M J Wannan ;Barnaby Nelson ;Jean Addington ;Kelly AllottAlan Anticevic<jats:title>Abstract</jats:title> <jats:p>This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.</jats:p>Scopus© Citations 61 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Complementary Effect of Maternal Sildenafil and Fetal Tracheal Occlusion Improves Lung Development in the Rabbit Model of Congenital Diaphragmatic Hernia(2020) ;Francesca Maria Russo ;Marina Gabriela Monteiro Carvalho Mori Da Cunha; ;Flore LesageMary Patrice Eastwood<jats:sec> <jats:title>Objective:</jats:title> <jats:p>To evaluate the effect of combining antenatal sildenafil with fetal tracheal occlusion (TO) in fetal rabbits with surgically induced congenital diaphragmatic hernia (CDH).</jats:p> </jats:sec> <jats:sec> <jats:title>Background:</jats:title> <jats:p>Although antenatal sildenafil administration rescues vascular abnormalities in lungs of fetal rabbits with CDH, it only partially improves airway morphometry. We hypothesized that we could additionally stimulate lung growth by combining this medical treatment with fetal TO.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>CDH was created on gestational day (GD)23 (n=54). Does were randomized to receive either sildenafil 10 mg/kg/d or placebo by subcutaneous injection from GD24 to GD30. On GD28, fetuses were randomly assigned to TO or sham neck dissection. At term (GD30) fetuses were delivered, ventilated, and finally harvested for histological and molecular analyses. Unoperated littermates served as controls.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>The lung-to-body-weight ratio was significantly reduced in sham-CDH fetuses either (1.2 ± 0.3% vs 2.3 ± 0.3% in controls, <jats:italic toggle="yes">P</jats:italic>=0.0003). Sildenafil had no effect on this parameter, while CDH fetuses undergoing TO had a lung-to-body-weight ratio comparable to that of controls (2.5 ± 0.8%, <jats:italic toggle="yes">P</jats:italic><0.0001). Sildenafil alone induced an improvement in the mean terminal bronchiolar density (2.5 ± 0.8 br/mm<jats:sup>2</jats:sup> vs 3.5 ± 0.9 br/mm<jats:sup>2</jats:sup>, <jats:italic toggle="yes">P</jats:italic>=0.043) and lung mechanics (static elastance 61 ± 36 cmH<jats:sub>2</jats:sub>O /mL vs 113 ± 40 cmH<jats:sub>2</jats:sub>O/mL, <jats:italic toggle="yes">P</jats:italic>=0.008), but both effects were more pronounced in fetuses undergoing additional TO (2.1 ± 0.8 br/mm<jats:sup>2</jats:sup>, <jats:italic toggle="yes">P</jats:italic>=0.001 and 31 ± 9 cmH<jats:sub>2</jats:sub>O/mL, <jats:italic toggle="yes">P</jats:italic><0.0001 respectively). Both CDH-sham and CDH-TO fetuses treated with placebo had an increased medial wall thickness of peripheral pulmonary vessels (41.9 ± 2.9% and 41.8 ± 3.2%, vs 24.0 ± 2.9% in controls, <jats:italic toggle="yes">P</jats:italic><0.0001). CDH fetuses treated with sildenafil, either with or without TO, had a medial thickness in the normal range (29.4% ± 2.6%). Finally, TO reduced gene expression of vascular endothelial growth factor and surfactant protein A and B, but this effect was counteracted by sildenafil.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion:</jats:title> <jats:p>In the rabbit model for CDH, the combination of maternal sildenafil and TO has a complementary effect on vascular and parenchymal lung development.</jats:p> </jats:sec>3Scopus© Citations 19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Network anatomy in logopenic variant of primary progressive aphasia(2023) ;Maria Luisa Mandelli ;Diego L. Lorca‐Puls ;Sladjana Lukic ;Maxime Montembeault<jats:title>Abstract</jats:title><jats:p>The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through predetermined networks. First, we used cross‐sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface‐based approach paired with an anatomically fine‐grained parcellation of the cortical surface (i.e., HCP‐MMP1.0 atlas). Second, we combined cross‐sectional functional MRI data from healthy controls and longitudinal structural MRI data from individuals with lvPPA to derive the epicenter‐seeded resting‐state networks most relevant to lvPPA symptomatology and ascertain whether functional connectivity in these networks predicts longitudinal atrophy spread in lvPPA. Our results show that two partially distinct brain networks anchored to the left anterior angular and posterior superior temporal gyri epicenters were preferentially associated with sentence repetition and naming skills in lvPPA. Critically, the strength of connectivity within these two networks in the neurologically‐intact brain significantly predicted longitudinal atrophy progression in lvPPA. Taken together, our findings indicate that atrophy progression in lvPPA, starting from inferior parietal and temporoparietal junction regions, predominantly follows at least two partially nonoverlapping pathways, which may influence the heterogeneity in clinical presentation and prognosis.</jats:p>Scopus© Citations 10 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Reply to Greene: No version of the dual process model can explain rational performance by people who made compromise moral judgments(2023) ;Leda Cosmides; ;Daniel Sznycer ;Miguel Ángel LabarcaScopus© Citations 1 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling Current Guanaco Distribution in Chile Based upon Niche Structure of Phylogeographic Lineages: Andean Puna to Subpolar Forests(2013) ;Benito A. González ;Horacio Samaniego ;Juan Carlos Marín ;Cristián F. EstadesVincent Laudet29Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
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