Background: The fraction of nitric oxide in exhaled air (FeNO) is used in asthma diagnosis and management. Smoking reduces FeNO and 20-35% of asthmatics are smoking. However no guidelines exist on the diagnostic value of FeNO in smokers. Therefore we assessed the value of FeNO to diagnose asthma in a population of subjects with asthma-like symptoms and different smoking habits.
Methods: Measurements of FeNO, lung function, bronchial responsiveness and allergy testing were performed in 282 subjects (108 never-, 62 ex- and 112 current smokers) aged 14-44 years, with symptoms suggestive of asthma. These subjects were a subset of subjects reporting respiratory symptoms (n = 686) in a random population sample (n = 10,400).
Results: A diagnosis of asthma was given to 96 of the 282 subjects. Subjects with asthma had higher FeNO levels than subjects with non-specific asthma symptoms in all three smoking strata (p < 0.001), with a percentual increase of FeNO by 76% in never-, 71% in ex- and 60% in current smokers. The area under the ROC-curve was similar in never-, ex- and current smokers (0.72 vs. 0.74 vs. 0.70). The cut-offs were approximately 30% lower for either 90% specificity (22 vs. 31 ppb) or 90% sensitivity (7 vs. 10 ppb) in current vs. never-smokers.
Conclusions: FeNO could differentiate asthmatic subjects from non-asthmatic subjects with asthma-like symptoms equally well in both never- and current smokers within a random population sample. The FeNO cut-off levels needed in order to achieve high sensitivity or specificity were lower in current smokers.
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http://dx.doi.org/10.1016/j.rmed.2012.02.009 | DOI Listing |
PeerJ
January 2025
Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, TN, United States of America.
Background: Diabetes is an increasingly important public health problem due to its socioeconomic impact, high morbidity, and mortality. Although there is evidence of increasing diabetes-related deaths over the last ten years, little is known about the population level predictors of diabetes-related mortality risks (DRMR) in Florida. Identifying these predictors is important for guiding control programs geared at reducing the diabetes burden and improving population health.
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January 2025
Centre for Addiction and Mental Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada. Electronic address:
Introduction: We conducted this review to examine the risk of e-cigarette dependence in different populations by updating the review on this topic by the National Academies of Science, Engineering, and Medicine.
Methods: Six academic databases were searched for studies published between September 2017 and December 2023. We included peer-reviewed human, animal, cell/in vitro original studies examining associations of e-cigarette use and dependence but excluded qualitative studies.
Nicotine Tob Res
January 2025
University of Chicago, Department of Psychiatry and Behavioral Neuroscience, Chicago, IL.
Introduction: Prior research shows that in-person exposure to electronic nicotine delivery systems (ENDS) use increases desire for cigarettes and ENDS. However, less is known about the impact of cues delivered during remote interactions. This study extends previous in-person cue work by leveraging a remote confederate-delivered cue-delivery paradigm to evaluate the impact of dual nicotine vaping (vs.
View Article and Find Full Text PDFBMC Res Notes
January 2025
Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
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View Article and Find Full Text PDFClin Investig Arterioscler
January 2025
Grupo ADEMA-Salud, Instituto Universitario de Ciencias de la Salud (IUNICS), Islas Baleares, España; Servicio de Salud de las Islas Baleares, Islas Baleares, España; Facultad de Medicina, Universidad de las Islas Baleares, Palma, Islas Baleares, España.
Introduction: Diabesity is a pathological condition that combines obesity and type 2 diabetes in the same individual. Due to the current rise in both conditions, the prevalence of diabesity is increasing worldwide. Its etiology is known to be multifactorial; therefore, the aim of this study is to understand how diabesity is associated with various sociodemographic variables, healthy habits, and stress.
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