Pulmonary arterial hypertension (PAH) is a progressive disease with no cure. Healthcare resource utilization (HCRU; hospitalization, outpatient visits, and drug utilization) before diagnosis and productivity loss (sick leave and disability pension) before and after PAH diagnosis are not well known. By linking several Swedish national databases, this study have estimated the societal costs in a national PAH cohort ( = 749, diagnosed with PAH in 2008-2019) 5 years before and 5 years after diagnosis and compared to an age, sex, and geographically matched control group ( = 3745, 1:5 match). HCRU and productivity loss were estimated per patient per year. The PAH group had significantly higher HCRU and productivity loss compared to the control group starting already 3 and 5 years before diagnosis, respectively. HCRU peaked the year after diagnosis in the PAH group with hospitalizations (mean ± standard deviation; 2.0 ± 0.1 vs. 0.2 ± 0.0), outpatient visits (5.3 ± 0.3 vs. 0.9 ± 0.1), and days on sick leave (130 ± 10 vs. 13 ± 1) significantly higher compared to controls. Total costs during the entire 10-year period were six times higher for the PAH group than the control group. In the 5 years before diagnosis the higher costs were driven by productivity loss (76%) and hospitalizations (15%), while the 5 years after diagnosis the main cost drivers were drugs (63%), hospitalizations (16%), and productivity loss (16%). In conclusion, PAH was associated with large societal costs due to high HCRU and productivity loss, starting several years before diagnosis. The economic and clinical burden of PAH suggests that strategies for earlier diagnosis and more effective treatments are warranted.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868346 | PMC |
http://dx.doi.org/10.1002/pul2.12190 | DOI Listing |
PLoS One
January 2025
UK Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom.
Surface water plays a vital role in the spread of infectious diseases. Information on the spatial and temporal dynamics of surface water availability is thus critical to understanding, monitoring and forecasting disease outbreaks. Before the launch of Sentinel-1 Synthetic Aperture Radar (SAR) missions, surface water availability has been captured at various spatial scales through approaches based on optical remote sensing data.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
College of Environmental Science and Engineering, Nankai University, 38 Tongyan Road, Jinnan District, 300350 Tianjin, China.
Reclaimed asphalt pavement (RAP) is a widely used end-of-life (EoL) material in asphalt pavements to increase the material circularity. However, the performance loss due to using RAP in the asphalt binder layer often requires a thicker layer, leading to additional material usage, energy consumption, and transportation effort. In this study, we developed a parametric and probabilistic life cycle assessment (LCA) framework to robustly compare various pavement designs incorporating recycled materials.
View Article and Find Full Text PDFImages are important information carriers in our lives, and images should be secure when transmitted and stored. Image encryption algorithms based on chaos theory emerge in endlessly. Based on previous various chaotic image fast encryption algorithms, this paper proposes a color image sector fast encryption algorithm based on one-dimensional composite sinusoidal chaotic mapping.
View Article and Find Full Text PDFPLoS One
January 2025
School of Information Science and Engineering, Xinjiang University, Urumqi, China.
Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense, and health monitoring, as it directly affects the accuracy and security of decision-making. Existing generative adversarial nets (GANs)-based anomaly detection methods overlook the importance of local density, limiting their effectiveness in detecting anomaly objects in complex data distributions. To address this challenge, we introduce a generative adversarial local density-based anomaly detection (GALD) method, which combines the data distribution modeling capabilities of GANs with local synthetic density analysis.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Shengbei Street 4888, Changchun 130102, China.
Climate change and human activity are increasing the frequency of wildfires in peatlands and threatening permafrost peatland carbon pools. In Northeast China, low-severity prescribed fires are conducted annually on permafrost peatlands to reduce the risk of wildfires. These fires typically do not burn surface peat but lead to the loss of surface vegetation and introduction of pyrogenic carbon.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!