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Item type:Publication, Risk and impact of stroke across 38 countries and territories of the Americas from 1990 to 2021: a population-based trends analysis from the Global Burden of Disease Study 2021(Elsevier BV, 2025-03) ;Ramón Martinez; ;Pedro Ordunez ;Felipe FregniCarlos AbantoScopus© Citations 22 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Emergency Department Workflow Times of Intravenous Thrombolysis with Tenecteplase versus Alteplase in Acute Ischemic Stroke: A Prospective Cohort Study before and during the COVID-19 Pandemic(S. Karger AG, 2025-02-03) ;Matias Guzman; ;Gabriel Cavada ;Alejandro M. BrunserVeronica V. OlavarriaIntroduction: Tenecteplase (TNK) has demonstrated to be non-inferior to alteplase (ALT) for intravenous thrombolysis (IVT) in acute ischemic stroke (AIS). There are potential workflow benefits associated with TNK use, aiming to reduce patient length of stay in the emergency department. Our aim was to investigate whether the routine use of TNK during the COVID-19 pandemic influenced workflow times compared to historical use of ALT, while maintaining non-inferior clinical outcomes in a non-drip and ship scenario of a comprehensive stroke center. Methods: We included patients with AIS admitted from September 2019 to September 2022 and compared those treated with TNK during the COVID-19 pandemic to those treated with ALT in the period immediately before. We compared emergency department length of stay (EDLOS), door-to-needle time (DTN), door-to-groin puncture time (DTG), clinical and safety outcomes with adjusted general linear regression models. Results: 110 patients treated with TNK and 111 with ALT were included in this study. Mean EDLOS was 251 (SD = 164) min for TNK users versus 240 (SD = 148) min for ALT (p = 0.62). Mean DTN was 43 (SD = 25) min for TNK versus 46 (SD = 27) min for ALT users (p = 0.39). Mean DTN under 60 min was achieved in 86 (78.2%) patients and in 85 (76.5%) patients of the TNK and ALT groups, respectively (p = 1.0). DTN under 45 min was achieved in 65.4% and 58.6% (p = 0.65) of the TNK and ALT groups, respectively. DTG time was 114 (SD = 43) min for TNK versus 111 (58 = SD) min in the ALT group (p = 0.88). DTG under 90 min was achieved in 32% of the TNK group and 35% of the ALT group (p = 0.69). There were no differences in any of the clinical or safety outcomes between groups at 90 days. Conclusions: The adoption of TNK during COVID-19 pandemic did not result in a change in EDLOS, DTN, or DTG times when compared to ALT in this cohort. Safety and clinical outcomes were similar between groups. Probably a greater benefit could have been seen in a drip and ship thrombolysis setting. Further research is needed to assess the potential advantages of TNK in drip and ship scenarios of IVT.Scopus© Citations 2 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evidence-based clinical standard for the diagnosis and treatment of invasive lung aspergillosis in the patient with oncohematologic disease(Elsevier BV, 2025-03) ;Jorge Alberto Cortés ;Diego Andrés Rodríguez-Lugo ;Martha Carolina Valderrama-Rios ;Ricardo RabagliatiDomenico Capone2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Patterns of brain activity in choice or instructed go and no-go tasks(Springer Science and Business Media LLC, 2025-02-21) ;Sanaz Attaripour Isfahani ;Patrick McGurrin; Mark HallettThe goal of this study was to investigate the decision making process for choosing what movements to make. We used electroencephalography (EEG) to investigate patterns of the contingent negative variation (CNV) associated with free-choice decisions to move or abstain, comparing them to conditions where actions were commanded. Our primary hypothesis was that choice tasks would differ significantly from each other and exhibit EEG patterns akin to their command-driven counterparts after the decisions were made, at least, in the 50 ms block of time prior to movement. A secondary analysis evaluated post hoc comparisons of time, in 50 ms blocks, to understand the temporal development of the CNV for each condition. We also conducted an exploratory analysis of EEG event-related desynchronization (ERD) to identify patterns of brain activity associated with the decision-making process. This approach was taken due to the exploratory nature of our hypotheses concerning the spatial and temporal characteristics of EEG activity during these free-choice versus commanded tasks. We studied 12 right-handed healthy volunteers (7 women, mean age 53 years, range 39–73 years) with no prior history of neurological or major psychiatric illness. A CNV paradigm encompassing commanded and choice tasks was devised, with a 2500 ms interval between S1 and S2, while recording EEG and electromyography (EMG). S1 provided full information about the upcoming task, which was to be executed at the time of S2. We assessed CNV and explored whole scalp EEG activity, including both voltage as well as power in the alpha and beta frequency ranges. Clear and similar CNVs were observed for command and choice go tasks prior to the movements, contrasting with near-zero CNVs for the command and choice no-go tasks. Separation of CNVs for command go and no-go tasks occurred around 1600 ms post-S1, and choice CNVs separated about 2150 ms post-S1. Exploratory analysis revealed that beta power provided information about decision and preparation processes much earlier. The left dorsolateral prefrontal cortex (DLPFC) exhibited the initial sign of decision approximately 500 ms post-S1 for all tasks, with subsequent preparation for movement or restraint involving distinct activity in various brain regions. The localization of effects in the left DLPFC was determined by visual analysis of the informative electrode sites. The CNVs separate about 2 s after S1, and it appears that this process represents preparation for movement (or no movement). Exploration of the beta activity suggests an earlier decision process which leads eventually to subsequent task preparation and activation. Choice decisions lag slightly behind command decisions, with the CNV apparently reflecting motor implementation rather than the decision-making process. In a simple motor task with an exploratory analysis, both commanded and choice-based decisions are rapidly initiated in the left DLPFC. While the CNV distinguishes between go and no-go conditions, it primarily appears to signify preparation for implementation of the task following the earlier decision. Further controlled studies will be needed to confirm these results.Scopus© Citations 3 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IL-10 and IL-6/IL-10 as predictive biomarkers for treatment response in non-infectious uveitis(Frontiers Media SA, 2025-05-13) ;Rodrigo A. Valenzuela ;Fabian Vega-Tapia ;Nathaly Elizalde ;Ivan FloresFelipe M. RojasUveitis, a group of heterogeneous diseases causing ocular inflammation, is a major contributor to vision loss globally. While systemic corticosteroids (CS) are the mainstay treatment, identifying CS-refractory patients remains a significant challenge. This study aimed to explore cytokine expression and Glucocorticoid Receptor (GR) levels as biomarkers for the early detection of CS-refractory cases in non-infectious uveitis. We assayed blood samples from 19 patients with non-infectious uveitis, for the expression of IL-6, IL-17A, TNF-α, IL-10 and GRα. The cohort included 11 refractory and 8 sensitive patients, categorized based on their clinical response to corticosteroids (prednisone 1 mg/kg/day). Blood draws were conducted at three time points (at baseline, day 7- and day 14 after CS initiation), and peripheral blood mononuclear cells (PBMCs) were isolated to measure cytokine and GRα transcript levels via real-time PCR. The expression levels of GRα and cytokines IL-6, IL-17A and TNF-α did not show significant changes between CS-sensitive and CS-refractory patients on the different days of treatment. However, IL-10 expression levels as the day14-to-day7 ratio were significantly higher in patients sensitive to CS therapy. A higher day14-to-day7 ratio was also found for the IL-6/IL-10, IL-17A/IL-10 and GRα/IL-10 ratios. ROC curve analysis demonstrated a robust predictive performance of IL-10 mRNA expression and the IL-6/IL-10 ratio for identifying CS-refractory patients. In conclusion, the expression of IL-10 and the IL-6/IL-10 ratio hold promise as early predictive biomarkers for CS treatment refractoriness in patients with non-infectious uveitis. These findings offer valuable insights into personalized treatment strategies, potentially leading to improved clinical outcomes.Scopus© Citations 6 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Latin America Cutaneous Oncology Management (LACOM) I: The Role of Skin Care in Oncology Patients and Survivors(SanovaWorks, 2025-02-01) ;Daniel Alcalá Pérez ;Ana Sofia Acosta Madiedo ;Sebastian Andreani ;Anneke AndriessenHebert Cárdenas2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficacy of platelet-rich-fibrin for the treatment of alveolar osteitis: a systematic review and meta-analysis(Medicina Oral, S.L., 2025) ;C. Ávila-Oliver ;V. Veloso ;G. Laissle ;AM. RojasF. Verdugo-Paiva2 - 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, Transolecranon fracture dislocation and transolecranon basal coronoid fracture dislocation; results of standardized treatment in a retrospective cohort(Elsevier BV, 2025-05) ;Joaquín De la Paz; ;Andres Calvo ;Antonio AriztiaCristian Aravena2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Influence of renal function on blood pressure control and outcome in thrombolyzed patients after acute ischemic stroke: post-hoc analysis of the ENCHANTED trial(Frontiers Media SA, 2024-12-09) ;Xinwen Ren ;Chen Chen ;Xia Wang ;Qiang LiYang Zhao<jats:sec><jats:title>Background</jats:title><jats:p>The effect of renal impairment in patients who receive intravenous thrombolysis for acute ischemic stroke (AIS) is unclear. We aimed to determine the associations of renal impairment and clinical outcomes and any modification of the effect of intensive versus guideline-recommended blood pressure (BP) control in the BP arm of the International Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We conducted a <jats:italic>post-hoc</jats:italic> analysis of the ENCHANTED BP arm, which involved 2,196 thrombolyzed AIS patients. Logistic regression models were used to define the association between eGFR and clinical outcomes of death, death or major disability [modified Rankin scale (mRS) scores 3–6], and major disability (mRS 3–5) at 90 days.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Of the 2,151 patients with available baseline renal function data (mean age 66.9 years; 38% women), 993 (46.2%), 822 (38.2%), and 336 (15.6%) had normal (eGFR ≥ 90 mL/min/1.73 m<jats:sup>2</jats:sup>), mildly (60–89), and moderate-to-severely impaired (&lt;60) renal function, respectively. Compared with patients with normal eGFR, mortality was higher in those with moderate-to-severe renal impairment (adjusted odds ratio 1.77, 95% confidence interval 1.05–2.99; <jats:italic>p</jats:italic> = 0.031 for trend). However, the difference in death or major disability (mRS 3–6) was not significant between groups. There was no heterogeneity in the effect of intensive versus guideline-recommended BP-lowering treatment on death by grades of renal function (<jats:italic>p</jats:italic> for interaction = 0.545).</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>The presence of moderate-to-severe renal impairment is associated with increased mortality in thrombolyzed patients with AIS. Renal function does not modify the effect of early intensive BP-lowering treatment on death in this patient group.</jats:p></jats:sec>2