Objective: A recent study of adenocarcinoma of the oesophagus (ACO) incidence rates in Denmark showed a steep fall in the over-80 population, interpreted as the result of a decline in the prevalence of Barrett's oesophagus (BO) in this age group, for which three hypotheses were advanced: the specific mortality from ACO and, superimposed, either excess mortality from causes of death unrelated to ACO or a birth cohort effect. The aim of this study was to create models estimating the BO population fitting each of these three hypotheses, in order to select the most plausible hypothesis and to gain insight into the Danish BO population.
Material And Methods: Models were designed for these three hypotheses, conforming to the generally accepted 0.4-0.5% annual ACO incidence in BO patients. These models employed expectation-maximization (EM) algorithms, Danish life tables and the observed ACO incidence rates. The models enabled the estimation of a BO population for each hypothesis.
Results: After testing against set criteria, the most plausible model was found to be that describing a birth cohort effect which predicted a +/-5% annual rise in the prevalence of BO and, consequently, in the incidence rate of ACO in Denmark. This prediction was borne out over the subsequent decade.
Conclusions: This rising ACO incidence rate is likely to continue into the foreseeable future. The use of EM algorithms enabled a first estimate of the BO population at risk of ACO, although, owing to the limitations imposed by the models, the age- and gender-specific ACO risk for the entire Danish BO population could not as yet be ascertained.
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http://dx.doi.org/10.1080/00365520600884130 | DOI Listing |
BMJ Open Respir Res
January 2025
Peking University, Beijing, China
Background: Chronic respiratory diseases (CRDs) have been shown to be associated with frailty, but these findings have not yet reached a consensus. The aim of this study was to investigate the association between CRDs and frailty in the elderly using a nationally representative data from China.
Methods: Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed, including 3309 frailty-free participants followed for three waves from 2011.
Vaccine
February 2025
Department of Medicine, Division of Cardiology, University of California, Los Angeles, CA, United States.
Background: Heart failure affects people of all ages and is a leading cause of death for both men and women in most racial and ethnic groups in the United States. Infections are common causes of hospitalizations in heart failure, with respiratory infections as the most frequent diagnosis. Vaccinations provide significant protection against preventable respiratory infections.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Laboratory of Ecology and Environmental Management, Science and Technology Advanced Institute, Van Lang University, Ho Chi Minh City, Vietnam.
The urban setting notwithstanding, rice cultivation prevails on the outskirts of Hanoi, with the burning of rice straw in the fields posing a significant challenge. Therefore, it is crucial to conduct spatial mapping of rice distribution, assess dry biomass, and determine emissions from rice straw burning within Hanoi city. The efficacy of the deep convolutional neural networks (DCNN) model has been evident in accurately mapping the spatial distribution of rice in Hanoi, where rice cultivation extensively thrives in suburban areas.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Electrical Engineering, Faculty of Electrical and Electronic Engineering, National University of Engineering, Lima, Peru.
The wake effect is a relevant factor in determining the optimal distribution of wind turbines within the boundaries of a wind farm. This reduces the incident wind speed on downstream wind turbines, which results in a decrease in energy production for the wind farm. This paper proposes a novel approach for optimizing the distribution of wind turbines using a new Genetic Gray Wolf Optimizer (GGWO).
View Article and Find Full Text PDFLung
November 2024
Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Objectives: Examine the association of asthma, COPD, and Asthma-COPD overlap (ACO) on rates of lung cancer screening.
Methods: 2022 Behavior and Risk Factors Surveillance Survey was used for cross-sectional analysis of self-reported lung cancer screening prevalence in those with COPD, asthma, and ACO, with stratification by smoking status. Multivariate logistic regression was performed to assess the relationship between asthma, COPD, ACO and lung cancer screening status.
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