BTEX concentrations were determined by GC5000 online gas chromatography in the atmosphere of the north suburb of Nanjing in March 2013 to February 2014, using the EPA human exposure analysis evaluation method for benzene series compounds of volatile organic compounds (VOCs) in health risk assessment. The results showed that the total amount of BTEX showed the variation characteristics of spring > winter > autumn > summer. BTEX concentration was higher in the periods of 07:00-10:00 and 17:00-20:00, and the lowest was detected between 13:00-15:00; At the weekend, the concentration of BTEX was higher than on the working day. The sources of BTEX included traffic sources, industrial sources and solvent evaporation. The HQ of BTEX in all four seasons showed the order of benzene > xylene > ethylbenzene > toluene, and the HQ risk values were within the safety range in all analysis periods. The distribution of value was winter > autumn > spring > summer, and was higher than the safety threshold for all the analyses, indicating the existence of carcinogenic risk.
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http://dx.doi.org/10.13227/j.hjkx.201607108 | DOI Listing |
J Cardiovasc Surg (Torino)
January 2025
Faculty of Medicine and Biomedical Sciences, Campus of Gambelas, University of Algarve, Faro, Portugal.
Background: Aortoiliac disease poses a significant cardiovascular (CV) risk, especially in individuals with chronic kidney disease. This study aimed to assess the predictive role of chronic kidney disease in long-term major adverse CV events in patients submitted to aortoiliac revascularization due to severe aortoiliac atherosclerotic disease.
Methods: From 2013 to 2023, patients who underwent aortoiliac revascularization for TASC II type D lesions, including those with chronic kidney disease, were selected from a prospective cohort study.
Allergol Immunopathol (Madr)
January 2025
Department of Epidemiology and Public Health, Ehime University Graduate School of Medicine, Ehime, Japan.
Background: There is limited evidence on the association between maternal anemia during pregnancy and the risk of childhood allergic disorders, with regards to atopic eczema. The current pre-birth cohort study aimed to examine the association between maternal anemia during pregnancy and the risk of atopic eczema in Japanese 2-year-olds.
Methods: The study included 1354 Japanese mother-child pairs.
Allergol Immunopathol (Madr)
January 2025
Prince Sattam bin Abdulaziz Research Chair for Epidemiology and Public Health, Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Background: Asthma is considered one of the most common and serious noncommunicable diseases, with high morbidity and mortality rates in both children and adults.
Objectives: To estimate the frequency and to determine the associated factors of self-reported asthma among children diagnosed with type 1 diabetes.
Methods: A cross-sectional study design was employed, and 175 subjects having type 1 diabetes for more than 1 year were included from the pediatrics endocrine clinic.
Allergol Immunopathol (Madr)
January 2025
Research Department, Fundación Cardioinfantil, Bogotá, Colombia.
Background: Asthma, a chronic inflammatory lung disease, is one of the leading causes of disability, demands on health resources, and poor quality of life. It is necessary to identify asthma-related risk factors to reduce the presence and development of symptoms.
Objective: This study aimed to explore the association of multiple possible factors with asthma symptoms in two subpopulations, children, adolescents, and adults, in six cities in Colombia.
JMIR Perioper Med
January 2025
Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.
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