12 research outputs found
1825P Prevalence of cancer among e-cigarette smokers compared to non-smokers: A retrospective cross-sectional survey study of NHANES-CDC
Background: Current e-cigarette use has been rising, assuming as a safe alternative to traditional smoking. Therefore, we aim to evaluate the prevalence of cancer and types of cancers amongst e-cigarette and traditional smokers.
Methods: A retrospective cross-sectional survey study was performed using NHANES (National Health And Nutrition Examination Survey) database from 2015 to 2018. History of cancer (MCQ220), type of cancers (MCQ230a), and smoking status (E-cigarette: SMQ900 or SMQ905 and Traditional smoking: SMQ020) were identified. Univariate and multivariable logistic regression analysis was performed to find out prevalence and association between e-cigarette smoking and cancer. We have excluded respondents with dual smoking.
Results: Out of 154,856 participants, 7756 (5.01%) were e-cigarette users, 48625 (31.4%) were traditional smokers, 98475 (63.59%) were non-smokers. Females (49 vs 38%), Mexican Americans (20 vs 13%), high annual household income (\u3e$100,000: 23 vs 15%) were having a higher prevalence of e-cigarette smoking in comparison with traditional smoking. (p\u3c0.0001) Prevalence of cancer (any type) was 11.61%. Cancer prevalence was higher amongst traditional smokers in comparison with e-cigarette smokers. (16.77 vs 2.32%; p\u3c0.0001) E-cigarette smokers were younger at the diagnosis of 1st cancer in comparison with traditional smokers. (median: 45 vs 63-years; p\u3c0.0001) Cervical (21.99 vs 2.01%), thyroid (10.64 vs 2.45%), leukemias (8.51 vs 1.08%), and breast (12.06 vs 12.01%) cancers were more prevalent amongst e-cigarette smokers in comparison to traditional smokers. (p\u3c0.0001) In adjusted multivariable regression analysis, e-cigarette smokers [aOR: 1.3 (95%CI: 1.32-1.33); p\u3c0.0001] and traditional smokers [1.6 (1.64-1.65); p\u3c0.0001] were having higher odds of prevalence of cancer in comparison with non-smoker.
Conclusions: E-cigarette smokers had an early age of cancer onset and higher odds of cancer prevalence. Females had higher use of e-cigarette and cervical, thyroid, and breast cancers were prevalent amongst e-cigarette users. More prospective studies should be planned to mitigate the risk and before considering e-cigarette as a safe alternative to traditional smoking
Synthesis of (±) montagnetol and (±) erythrin
Montagnetol and erythrin the main components of Rocella montagnei were earlier shown to be erythrityl esters of orsellinic acid and lecanoric acid respectively. The details of the structures have now been established by their syntheses involving the preparation of the esters of the carboxylic acids with cis-2-butene-1,4-diol and hydroxylating the ethylenic groups by means of Milas' reagent
Low Molecular Weight Non-Peptidyl Antimalarial Leads: Lichen Metabolite, Usnic Acid and Its Analogues
Role of Intravenous Iron Sucrose in Correction of Anemia in Antenatal Women with Advanced Pregnancy
Solid-Phase Synthesis of Polyfunctionalized Natural Products: Application to Usnic Acid, a Bioactive Lichen Compound
Copper(II) Complexes of Usnic Acid Condensation Products and Their Antibacterial Activities
Influenza and other respiratory viruses: standardizing disease severity in surveillance and clinical trials
<p><b>Introduction</b>: Influenza-Like Illness is a leading cause of hospitalization in children. Disease burden due to influenza and other respiratory viral infections is reported on a population level, but clinical scores measuring individual changes in disease severity are urgently needed.</p> <p><b>Areas covered</b>: We present a composite clinical score allowing individual patient data analyses of disease severity based on systematic literature review and WHO-criteria for uncomplicated and complicated disease. The 22-item ViVI Disease Severity Score showed a normal distribution in a pediatric cohort of 6073 children aged 0–18 years (mean age 3.13; S.D. 3.89; range: 0 to 18.79).</p> <p><b>Expert commentary</b>: The ViVI Score was correlated with risk of antibiotic use as well as need for hospitalization and intensive care. The ViVI Score was used to track children with influenza, respiratory syncytial virus, human metapneumovirus, human rhinovirus, and adenovirus infections and is fully compliant with regulatory data standards. The ViVI Disease Severity Score mobile application allows physicians to measure disease severity at the point-of care thereby taking clinical trials to the next level.</p