Arsenic (As) can contaminate air, soil, water, and organisms through mobilization of natural mineralogical deposits or anthropogenic actions. Inorganic-As compounds are more toxic and widely available in aquatic environments, including drinking water reservoir catchments. Since little is known about its effects on prepubertal mammals, the present study focused on it. Hence, As was administered through drinking water to male Wistar rats from postnatal day 23 to 53. Negative control group received vehicle only (filtered water); As 1 group received AsNaO2 at 0.01 mg L and As2 group received AsNaO2 at 10 mg L . It was investigated hepatic and renal toxicity of AsNaO2 (ie, histopathology and apoptosis analysis), as well as its mutagenicity (ie, micronucleus test in liver and bone marrow), cytotoxicity (ie, frequency and type of erythrocytes in blood), and genotoxicity (ie, comet assay in blood). Also, As determination was performed in hepatic and renal tissues. Data obtained revealed that immature organisms present a pattern of arsenic accumulation similar to that observed in adults, suggesting similarity in metabolic processes. In addition, liver showed to be an important target tissue for As toxicity in these experimental conditions, exhibiting infiltrate of defense cells, DNA damages, and increased apoptosis rates.
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http://dx.doi.org/10.1002/tox.22890 | DOI Listing |
J Adv Nurs
January 2025
Dipartimento Scienze Della Salute, Università degli Studi di Genova, Genova, Italy.
Aim(s): To adapt and validate the HSOPS 2 instrument for the Italian context and to describe the current patient safety culture amongst healthcare personnel working in Italian hospitals.
Design: Cross-sectional study.
Methods: We adapted and validated the HSOPS 2 instrument following the COSMIN guidelines: we performed a forward-backward translation, calculated the content validity index, evaluated face validity, acceptability (percentage of participants responding to all items on the questionnaire and to every specific item), construct validity (confirmatory factor analysis), and internal consistency (Cronbach's alpha for each dimension).
Transfusion
January 2025
Association for the Advancement of Blood and Biotherapies, Bethesda, Maryland, USA.
Background: The Association for the Advancement of Blood and Biotherapies (AABB) conducted a global survey of patient blood management (PBM) practices. It determined changes in PBM practices since the last survey.
Study Design And Methods: A working group of AABB's PBM Subsection and AABB staff designed the survey using the Qualtrics™ platform.
Am J Ind Med
January 2025
Defense Health Agency, Armed Forces Health Surveillance Division, Silver Spring, Maryland, USA.
Objective: This study examines the incidence of injuries among active component service members in Military Working Dog (MWD) handler occupations compared to three other active component occupational groups.
Methods: A retrospective cohort study was conducted with a total of 2,524,092 active component service members including, 3935 MWD handlers, 2025 veterinary personnel, 113,413 military police, and 2,404,719 all other active component service members (ACSM). Incidence rate and incident rate ratios of injuries were determined.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Objective: Evaluate inpatient audiometry on clinical decision-making. Assess stakeholder perspectives on the practice of inpatient audiometry and financial impact.
Study Design: This is a mixed methods study utilizing retrospective chart review, a focus group, and financial analyses.
Cancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
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