Tag: nevin manimala

Environ Sci Pollut Res Int. 2023 Nov 13. doi: 10.1007/s11356-023-30678-3. Online ahead of print.

ABSTRACT

Maximizing socioeconomic and environmental benefits with minimal investment in urban land resources is a key concern for sustainable urban development. The emission trading system is an important strategy of the Chinese government to control environmental pollution and promote green development, but whether it improves urban land green use efficiency is still unclear. Combining the concept of green development with urban land use efficiency, this paper uses the super-efficiency slack-based measure (SBM) model with undesirable outputs to measure the land green use efficiency of 261 prefecture-level cities in China from 2003 to 2017. In addition, the propensity score matching difference-in-differences (PSM-DID) method and the mediating effect model were used to test the impact of the China’s emission trading system on urban land green use efficiency and behind the mechanism. According to the findings, China’s emission trading system has significantly improved urban land green use efficiency, compared with that in nonpilot cities, urban land green use efficiency in pilot cities has increased by 10.40%. Moreover, the policy effect of the emission trading system is more significant in resource-based cities and cities with a high intensity of environmental regulations. Further mechanism analysis reveals that green technology innovation and industrial structure upgrading are effective transmission mechanisms for China’s emissions trading policy to improve urban land green use efficiency. The findings provide policy implications for promoting the sustainable use of urban land resources and advancing the coordinated development of urban socioeconomic and ecological environments.

PMID:37955732 | DOI:10.1007/s11356-023-30678-3

Environ Sci Pollut Res Int. 2023 Nov 13. doi: 10.1007/s11356-023-30882-1. Online ahead of print.

ABSTRACT

The escalating global greenhouse gas emission crisis necessitates a robust scientific carbon accounting framework and innovative development approaches. Achieving emission peaks remains the primary goal for emission reduction. Guangdong Province, a pivotal region in China, faces pressure to reduce carbon emissions. In this study, data was leveraged from the China Carbon Accounting Database (CEADS) and panel data from the “Guangdong Statistical Yearbook” spanning 1997 to 2022. Factors impacting carbon emissions were selected based on Guangdong Province’s carbon reduction goals, macroeconomic development strategies, and economic-population dynamics. To address multicollinearity, lasso regression identified key factors, including population size, economic development level, energy intensity, and technology factors. A novel STIRPAT extended model, combined with the BP neural network optimized using the TPE algorithm, enhanced carbon emission predictions for Guangdong Province. Employing scenario analysis, five scenarios were generated in alignment with the planning policies of Guangdong Province, to forecast carbon emissions from 2020 to 2050. The results suggest that to achieve a win-win situation for both economic development and environmental protection, Guangdong Province should prioritize the energy-saving scenario (S2), which aligns with the “13th Five-Year Plan’s” ecological and green development directives, to reach a projected carbon peak of 637.05Mt by 2030. In conclusion, recommendations for carbon reduction are proposed in the areas of low-carbon transformation for the population, sustainable economic development, and the development of low-carbon technologies.

PMID:37953421 | DOI:10.1007/s11356-023-30882-1

Pediatr Radiol. 2023 Nov 13. doi: 10.1007/s00247-023-05789-1. Online ahead of print.

ABSTRACT

BACKGROUND: Skeletal dysplasias collectively affect a large number of patients worldwide. Most of these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination of bone age (BA) is a useful tool. Moreover, consecutive BA measurements are crucial for monitoring the growth of patients with such disorders, especially for timing hormonal treatment or orthopedic interventions. However, manual BA assessment is time-consuming and suffers from high intra- and inter-rater variability. This is further exacerbated by genetic disorders causing severe skeletal malformations. While numerous approaches to automate BA assessment have been proposed, few are validated for BA assessment on children with skeletal dysplasias.

OBJECTIVE: We present Deeplasia, an open-source prior-free deep-learning approach designed for BA assessment specifically validated on patients with skeletal dysplasias.

MATERIALS AND METHODS: We trained multiple convolutional neural network models under various conditions and selected three to build a precise model ensemble. We utilized the public BA dataset from the Radiological Society of North America (RSNA) consisting of training, validation, and test subsets containing 12,611, 1,425, and 200 hand and wrist radiographs, respectively. For testing the performance of our model ensemble on dysplastic hands, we retrospectively collected 568 radiographs from 189 patients with molecularly confirmed diagnoses of seven different genetic bone disorders including achondroplasia and hypochondroplasia. A subset of the dysplastic cohort (149 images) was used to estimate the test-retest precision of our model ensemble on longitudinal data.

RESULTS: The mean absolute difference of Deeplasia for the RSNA test set (based on the average of six different reference ratings) and dysplastic set (based on the average of two different reference ratings) were 3.87 and 5.84 months, respectively. The test-retest precision of Deeplasia on longitudinal data (2.74 months) is estimated to be similar to a human expert.

CONCLUSION: We demonstrated that Deeplasia is competent in assessing the age and monitoring the development of both normal and dysplastic bones.

PMID:37953411 | DOI:10.1007/s00247-023-05789-1

Immunol Res. 2023 Nov 13. doi: 10.1007/s12026-023-09433-w. Online ahead of print.

ABSTRACT

Behçet disease (BD) is an autoimmune and autoinflammatory disease mainly affecting the Silk Road countries. The interindividual severity of BD depends on differences in the polymorphic profiles of the patients. One of the most prominent markers, HLA-B51 positivity, is also observed in 40-60% of patients with BD on the Silk Road. Inflammatory markers such as interleukin 10 (IL-10) and interleukin 23 receptor (IL-23R) are also widely associated with BD etiology. The polymorphisms on these genes may change the susceptibility to BD. In this case-control study, we assessed the associations of IL-10 rs3024498 and IL-23R rs10889677 single-nucleotide polymorphisms (SNPs) with BD susceptibility, if any. Two hundred eighty HLA-B51-positive patients with BD and 300 healthy controls were genotyped for these SNPs using RFLP-PCR. The chi-square test was used for genotyping. We found that IL-23R rs10889677 CC and IL-10 rs3024498 CT genotype frequencies were higher in the BD group than in the control group (p < 0.0001 and p = 0.0293, respectively). The recessive model (AA + CC vs. AC) and combined genotype (AC + CT) results were also statistically significant (p < 0.0001 and p = 0.0364, respectively). We conclude that IL-23R rs10889677 and IL-10 rs3024498 SNPs may be associated with the susceptibility to BD.

PMID:37953401 | DOI:10.1007/s12026-023-09433-w

Nucleic Acids Res. 2023 Nov 11:gkad1026. doi: 10.1093/nar/gkad1026. Online ahead of print.

ABSTRACT

To gain a better understanding of the complexity of gene expression in normal and diseased tissues it is important to account for the spatial context and identity of cells in situ. State-of-the-art spatial profiling technologies, such as the Nanostring GeoMx Digital Spatial Profiler (DSP), now allow quantitative spatially resolved measurement of the transcriptome in tissues. However, the bioinformatics pipelines currently used to analyse GeoMx data often fail to successfully account for the technical variability within the data and the complexity of experimental designs, thus limiting the accuracy and reliability of the subsequent analysis. Carefully designed quality control workflows, that include in-depth experiment-specific investigations into technical variation and appropriate adjustment for such variation can address this issue. Here, we present standR, an R/Bioconductor package that enables an end-to-end analysis of GeoMx DSP data. With four case studies from previously published experiments, we demonstrate how the standR workflow can enhance the statistical power of GeoMx DSP data analysis and how the application of standR enables scientists to develop in-depth insights into the biology of interest.

PMID:37953397 | DOI:10.1093/nar/gkad1026

Risk Anal. 2023 Nov 12. doi: 10.1111/risa.14252. Online ahead of print.

ABSTRACT

The smoke produced by wildfires can travel great distances and lead to respiratory and/or cardiovascular health impacts through inhalation. Individuals can reduce exposure by implementing smoke mitigation measures in their homes and beyond. In this article, we examine household level survey data (n = 543) on wildfire smoke mitigation in response to the September 2020 wildfires that occurred in the state of Oregon (and beyond). The air quality was hazardous for about 10 days in many affected regions. This study assessed the implementation of six commonly referenced approaches to reducing exposure to smoke: staying indoors; keeping doors and windows closed, turning on HVAC; using air purifiers; replacing air filters, and wearing face masks. We found high levels of implementation of staying indoors and keeping doors and windows closed; however, statistical analysis of socioeconomic demographics suggests that respondents vary in the implementation of the other measures. Income, number of exposure days, and access to information on smoke mitigation were positively associated with the implementation. Given the importance of information access for implementation for three of the measures, we also present data on how different age groups prefer to be contacted about air quality and smoke mitigation. For example, participants above 65 years of age prefer local TV as opposed to social media, whereas text messages were favored by all age groups. These survey results will help to inform the design of campaigns to engage community members differentially and potentially affect best communication practices and other assistance/preparation for smoke mitigation across demographics.

PMID:37953395 | DOI:10.1111/risa.14252

Nucleic Acids Res. 2023 Nov 11:gkad1029. doi: 10.1093/nar/gkad1029. Online ahead of print.

ABSTRACT

Polygenic score (PGS) is an important tool for the genetic prediction of complex traits. However, there are currently no resources providing comprehensive PGSs computed from published summary statistics, and it is difficult to implement and run different PGS methods due to the complexity of their pipelines and parameter settings. To address these issues, we introduce a new resource called PGS-Depot containing the most comprehensive set of publicly available disease-related GWAS summary statistics. PGS-Depot includes 5585 high quality summary statistics (1933 quantitative and 3652 binary trait statistics) curated from 1564 traits in European and East Asian populations. A standardized best-practice pipeline is used to implement 11 summary statistics-based PGS methods, each with different model assumptions and estimation procedures. The prediction performance of each method can be compared for both in- and cross-ancestry populations, and users can also submit their own summary statistics to obtain custom PGS with the available methods. Other features include searching for PGSs by trait name, publication, cohort information, population, or the MeSH ontology tree and searching for trait descriptions with the experimental factor ontology (EFO). All scores, SNP effect sizes and summary statistics can be downloaded via FTP. PGS-Depot is freely available at http://www.pgsdepot.net.

PMID:37953384 | DOI:10.1093/nar/gkad1029

Support Care Cancer. 2023 Nov 13;31(12):691. doi: 10.1007/s00520-023-08172-w.

ABSTRACT

PURPOSE: These systematic review and meta-analysis were conducted to discuss the financial toxicity (FT) level among breast cancer (BC) patients and the associated demographic and economic factors.

METHODS: A systematic review and meta-analysis of single means were used by following the Joanna Briggs Institute guidelines and PRISMA guidance. Untransformed means (MRAW) were used to estimate the confidence interval for individual studies, while I² and tau² statistics were used to examine heterogeneity among pooled studies. Electronic databases were PubMed, CINAHL, Web of Science, Scopus, Cochrane Library, Ovid MEDLINE(R), Science Direct, and Turkish databases were used to find relevant studies published in the last 15 years (between 2008 and 2023).

RESULTS: A total of 50 studies were reviewed in the systematic review, and 11 were included in the overall and subgroup meta-analyses. The majority of reviewed studies were from the USA (38 studies), while there were four studies from China and eight studies from other countries having different types of health systems. The overall estimated FT level based on 11 pooled studies was 23.19, meaning mild level FT in the range of four categories (no FT score > 25, mild FT score 14-25, moderate FT score 1-13, and severe FT score equal to 0), with a 95% CI of 20.66-25.72. The results of subgroup meta-analyses showed that the estimated FT levels were higher among those patients who were single, with lower education levels, stage 3 patients, younger, lower income, unemployed, and living in other countries compared to those who were married, more educated, and stages 1 and 2 patients, more aged, more income, employed, and patients in the USA.

CONCLUSION: The cost-effectiveness of the treatment strategies of BC depends on the continuity of care. However, FT is one of the leading factors causing BC patients to use the required care irregularly, and it has a negative effect on adherence to treatment. So, removing the economic barriers by taking appropriate measures to decrease FT will increase the efficiency of already allocated resources to BC treatments and improve the health outcomes of BC patients.

PMID:37953376 | DOI:10.1007/s00520-023-08172-w

Clin Rheumatol. 2023 Nov 13. doi: 10.1007/s10067-023-06799-y. Online ahead of print.

ABSTRACT

INTRODUCTION: Registries allow ascertaining the epidemiology of chronic diseases such as axial spondyloarthritis (axSpA). The Colombian Ministry of Health has implemented a National Health Registry (SISPRO) that collects data from each medical contact in the system, which provides close to universal coverage (around 98%).

OBJECTIVE: To establish the 5-year prevalence of axSpA in Colombia, and to describe its demographics, using data from January 1st, 2017, to December 31st, 2021.

METHODS: We performed an observational, cross-sectional study using the International Statistical Classification of Diseases and Related Health Problems as search terms related to ax-SpA, based on SISPRO data. We estimated the prevalence using three approaches: (1) ankylosing spondylitis (AS) diagnoses; (2) diagnoses compatible with axSpA; and (3) diagnoses compatible with axSpA, including sacroiliitis. We calculated prevalence per 100,000 inhabitants.

RESULTS: Based on our three approaches, patients with a primary diagnosis compatible with ax-SpA ranged between 12,684 and 117,648, with an estimated 5-year adjusted prevalence between 26.3 and 244 cases per 100,000 inhabitants (0.03-0.2%). The male-to-female ratio ranged between 1.2:1 and 0.4:1, which was markedly skewed towards a higher prevalence in women when we included the code for sacroiliitis. We found the highest frequency of cases in the 50-54 years group. A differential prevalence was observed between different regions in our country, particularly in regions known to have European ancestors.

CONCLUSION: This is the first study that describes demographic characteristics of ax-SpA in Colombia and offers valuable information for stakeholders. Key Points • Using the official country-level health database, the prevalence of axSpA in Colombia ranges between 26.3 and 244 cases per 100,000 inhabitants (0.03% – 0.2%) • The prevalence of axSpA peaked among the 50-54 years patient group, suggesting an increased survival • Nations with a substantial admixture, such as Colombia, may present a differential prevalence of axSpA among regions within the country • Including the ICD-10 code for sacroiliitis (M46.1) in epidemiological studies probably overestimates the frequency of axSpA.

PMID:37953369 | DOI:10.1007/s10067-023-06799-y

Eur Radiol. 2023 Nov 13. doi: 10.1007/s00330-023-10354-3. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the accuracy of CT and MRI reports of alert patients presenting after non-self-inflicted strangulation (NSIS) and evaluate the appropriateness of these imaging modalities in NSIS.

MATERIAL AND METHODS: The study was a retrospective analysis of patient characteristics and strangulation details, with a comparison of original radiology reports (ORR) to expert read-outs (EXR) of CT and MRI studies of all NSIS cases seen from 2008 to 2020 at a single centre.

RESULTS: The study included 116 patients (71% women, p < .001, χ²), with an average age of 33.8 years, mostly presenting after manual strangulation (97%). Most had experienced intimate partner violence (74% of women, p < .001, χ²) or assault by unknown offender (88% of men, p < 0.002 χ²). Overall, 132 imaging studies (67 CT, 51% and 65 MRI, 49%) were reviewed. Potentially dangerous injuries were present in 7%, minor injuries in 22%, and no injuries in 71% of patients. Sensitivity and specificity of ORR were 78% and 97% for MRI and 30% and 98% for CT. Discrepancies between ORR and EXR occurred in 18% of all patients, or 62% of injured patients, with a substantial number of unreported injuries on CT.

CONCLUSIONS: The results indicate that MRI is more appropriate than CT for alert patients presenting after non-self-inflicted strangulation and underline the need for radiologists with specialist knowledge to report these cases in order to add value to both patient care and potential future medico-legal investigations.

CLINICAL RELEVANCE STATEMENT: MRI should be preferred over CT for the investigation of strangulation related injuries in alert patients because MRI has a higher accuracy than CT and does not expose this usually young patient population to ionizing radiation.

KEY POINTS: • Patients presenting after strangulation are often young women with a history of intimate partner violence while men typically present after assault by an unknown offender. • Expert read-outs of CT and MRI revealed potentially dangerous injuries in one of 14 patients. • MRI has a significantly higher sensitivity than CT and appears to be more appropriate for the diagnostic workup of alert patients after strangulation.

PMID:37953368 | DOI:10.1007/s00330-023-10354-3