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Low-cost screening method for estimating inorganic arsenic in soil
(Springer Science and Business Media LLC, 2025-02-19)
Dan Walls
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Rodríguez María Delia
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Robert A. Root
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God’sgift N. Chukwuonye
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Zain Alabdain Alqattan
10
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Patient centered outcomes in stroke: utility-weighted modified Rankin Scale results in a community-based study
(Frontiers Media SA, 2025-03-21)
Carlos Delfino
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Gabriel Cavada
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HOFFMEISTER ARCE, LORENA
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LAVADOS GERMAIN, PABLO MANUEL
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MUÑOZ VENTURELLI, PAULA ANDREA
Background and aims</jats:title><jats:p>The transformation of modified Rankin Scale (mRS) scores based on the corresponding utilities of health-related quality of life questionnaires can facilitate the capture of Patient-Centered Outcomes (PCO) in stroke. We aimed to derive utility-weighted modified Rankin Scale (UW-mRS) values by mapping mRS functional status to EQ-5D-3L scores in a population-based cohort of stroke patients.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The UW-mRS was obtained by analyzing the EQ5-D-3 L and mRS scores at 180 days after any stroke in the ÑANDU study, a large prospective community-based study in Chile. The mRS prediction was estimated using a linear regression adjusted by the EQ-5D-3L value. Generalized linear and binary logistic regression models were constructed to determine influencing factors of the UW-mRS, using STATA software (version 18.0).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We included 773 patients presenting with any stroke during 2015–2016: 48% were female, with a mean age of 71 years (SD 13.8), and 85% had an acute ischemic stroke (AIS). 82% of patients had a low socioeconomic status, 50% had less than 12 years of formal education, and only 32% lived in urban areas. UW-mRS values for mRS categories 0–6 at 180 days were 0.913, 0.694, 0.425, 0.249, −0.102, −0.347 and 0, respectively. Multivariable analysis identified age &gt; 70 years (Coefficient <jats:italic>β</jats:italic> [β] -0.038 [Standard error SE 0.018], <jats:italic>p</jats:italic> = 0.032), prior mRS score 3–5 (<jats:italic>β</jats:italic> −0.556 [SE 0.197], <jats:italic>p</jats:italic> &lt; 0.001), ischemic stroke (β −0.066 [SE 0.025], <jats:italic>p</jats:italic> = 0.010), and National Institutes of Health Stroke Scale (NIHSS) at admission&gt;5 (<jats:italic>β</jats:italic> −0.015 [SE 0.002], <jats:italic>p</jats:italic> &lt; 0.001) as significant predictors of worse UW-mRS scores (R<jats:sup>2</jats:sup> = 70%) in the overall group. Sex-disaggregated analysis showed that age &gt; 70 years was a significant predictor in males (β −0.069 [SE 0.024], <jats:italic>p</jats:italic> = 0.006), while presenting an AIS had a greater impact on female’s worse UW-mRS score (β −0.087 [SE 0.033], <jats:italic>p</jats:italic> = 0.010).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>These results present UW-mRS values derived from a population-based stroke study. Key determinants of health-related quality of life in post-stroke patients included age, prior disability, and stroke severity. Sex-disaggregated analysis revealed age being significant for males and AIS for females. Incorporating PCO as UW-mRS in stroke research can provide a more nuanced understanding of the impact of stroke on survivors, offering valuable insights for clinical decision-making and rehabilitation strategies across diverse healthcare contexts.<
Scopus© Citations 1 6
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TGFβ links EBV to multisystem inflammatory syndrome in children
(Springer Science and Business Media LLC, 2025-03-12)
Carl Christoph Goetzke
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Mona Massoud
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Stefan Frischbutter
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Gabriela Maria Guerra
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Marta Ferreira-Gomes
<jats:title>Abstract</jats:title> <jats:p>In a subset of children and adolescents, SARS-CoV-2 infection induces a severe acute hyperinflammatory shock<jats:sup>1</jats:sup> termed multisystem inflammatory syndrome in children (MIS-C) at four to eight weeks after infection. MIS-C is characterized by a specific T cell expansion<jats:sup>2</jats:sup> and systemic hyperinflammation<jats:sup>3</jats:sup>. The pathogenesis of MIS-C remains largely unknown. Here we show that acute MIS-C is characterized by impaired reactivation of virus-reactive memory T cells, which depends on increased serum levels of the cytokine TGFβ resembling those that occur during severe COVID-19 (refs. <jats:sup>4,5</jats:sup>). This functional impairment in T cell reactivity is accompanied by the presence of TGFβ-response signatures in T cells, B cells and monocytes along with reduced antigen-presentation capabilities of monocytes, and can be reversed by blocking TGFβ. Furthermore, T cell receptor repertoires of patients with MIS-C exhibit expansion of T cells expressing TCRVβ21.3, resembling Epstein–Barr virus (EBV)-reactive T cell clones capable of eliminating EBV-infected B cells. Additionally, serum TGFβ in patients with MIS-C can trigger EBV reactivation, which is reversible with TGFβ blockade. Clinically, the TGFβ-induced defect in T cell reactivity correlates with a higher EBV seroprevalence in patients with MIS-C compared with age-matched controls, along with the occurrence of EBV reactivation. Our findings establish a connection between SARS-CoV-2 infection and COVID-19 sequelae in children, in which impaired T cell cytotoxicity triggered by TGFβ overproduction leads to EBV reactivation and subsequent hyperinflammation.</jats:p>
Scopus© Citations 4 2
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Early high-sensitivity troponin elevation and short-term mortality in sepsis: a systematic review with meta-analysis
(Springer Science and Business Media LLC, 2025-02-14)
Abraham I. J. Gajardo
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Santiago Ferrière-Steinert
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Joaquín Valenzuela Jiménez
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Sebastián Heskia Araya
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Thomas Kouyoumdjian Carvajal
Abstract Background Serum cardiac troponin (cTn) elevation is a well-established phenomenon in sepsis. However, the clinical signifcance of this phenomenon with high-sensitivity (hs) assays and the current sepsis defnition needs to be settled. Research Question What is the association between early serum cTn levels measured by hs-assays and the risk of short-term mortality in septic patients? Study Design and Methods We conducted a systematic review using a comprehensive PubMed, Scopus, and Embase search. Studies were eligible if they reported association data on early hs-cTn and mortality in an adult sample with sepsis that met the Sepsis-3 defnition. For the synthesis of the efect of hs-cTn on mortality, we applied random efect models on the pooled unadjusted and adjusted odds ratio (OR and aOR, respectively) of elevated vs. normal hs-cTn serum values, and on the crude standardized mean diference (SMD) of hs-cTn between survivors and non-survivors. Results In total, 6242 patients from 17 studies were included, with short-term mortality rates ranging from 16.9% to 53.8%. Using a crude analysis, non-survivor patients showed higher hs-cTn than survivors (SMD of 0.87, 95%CI: 0.41–1.33). Elevated hs-cTn was associated with increased mortality (OR=1.78, 95% CI: 1.41–2.25). However, this prognostic efect was absent in studies that adjusted for diferent confounders (aOR=1.06, 95% CI: 0.99–1.14). Discussion and Conclusions Non-survivors of sepsis exhibited signifcantly elevated hs-cTn levels. While elevated hs-cTn levels are associated with an increased risk of mortality, they are not independently associated with this outcome in sepsis
1Scopus© Citations 19
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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
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DELGADO BECERRA, OROZIMBA IRIS
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Mario Barbé
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Ignacio Sánchez
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RETAMAL LUCERO, MAURICIO ANTONIO
Acute 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 Abstract
Scopus© Citations 2 5
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Cognitive function at first episode in patients subsequently developing treatment-resistant schizophrenia
(Elsevier BV, 2025-02)
Juan M. Aguirre
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Camila Díaz Dellarossa
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Daniella Barbagelata
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Javiera Vásquez
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Cristián Mena
Scopus© Citations 1 3
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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
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Chen Chen
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Xia Wang
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Qiang Li
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Yang 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
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Factors associated with loneliness in Latin-American family care partners during the COVID-19 pandemic
(2024)
Tomas Leon
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Thamara Tapia-Munoz
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SLACHEVSKY CHONCHOL, ANDREA MARÍA
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Bárbara Costa Beber
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Fernando Aguzzoli
<jats:sec><jats:title>Background</jats:title><jats:p>COVID-19-related restrictions led to an increase in overall loneliness and social isolation. Before the pandemic, care partners reported higher levels of loneliness and higher loneliness prevalence compared to non-care partners. Because of the spread and severity of the infections, and the access to support spread, we expect a different impact of the COVID-19 pandemic on LATAM care partners.</jats:p></jats:sec><jats:sec><jats:title>Objectives</jats:title><jats:p>To describe the loneliness levels of LATAM caregivers and to identify socioeconomic and health factors associated.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>An international online cross-sectional survey for care partners, embedded within the ‘Coping with Loneliness and Isolation during COVID-19’ (CLIC) Study conducted between June 2020– and November 2020.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>We analysed data from 246 family care partners living in Latin American countries (46% Mexico, 26% Chile,18% Brazil, and 10% from Argentina, Peru, Venezuela, Panama, Guatemala y Costa Rica).</jats:p></jats:sec><jats:sec><jats:title>Measurements</jats:title><jats:p>We assessed loneliness using the 6-items of De Jong Gierveld loneliness Scale. We described the levels of overall, emotional, and social loneliness pre and during Covid, and reported the distribution of care partners who improved, worsened or maintained their levels of loneliness. Moreover, we used longitudinal multiple linear regression models with bootstraps errors of 1,000 iterations to identify factors associated with the levels of overall, emotional, and social loneliness during the pandemic.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Participants were mostly women, 50 years and older, in a partnership, highly educated and with finances meeting their needs, with good to excellent physical and mental health. Among the total of care partners, 55% perceived higher overall loneliness, 56% higher emotional loneliness, and 21% higher social loneliness during the pandemic in comparison with pre-COVID-19 levels. Perceived mental health was associated with the overall, emotional, and social loneliness.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Regardless of their living and health situation, during the pandemic, loneliness increased in all groups of care partners. These should be taken in consideration when planning public health approaches for crises such as pandemics or other large-scale disruptive events.</jats:p></jats:sec>
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Editorial: Immune response to gram-negative bacteria in the lungs
(2024)
Agnes Jara-Collao
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POLI HARLOWE, MARIA CECILIA BERTA
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William Bain
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Hernán F. Peñaloza
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Early prediction of functional mobility severity after stroke: two key milestones
(2024)
Patricia Vargas
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Marcos Maldonado-Diaz
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Tania Gutiérrez-Panchana
Scopus© Citations 2

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