Tag: statistics

J Integr Neurosci. 2023 Jan 16;22(1):18. doi: 10.31083/j.jin2201018.

ABSTRACT

BACKGROUND AND PURPOSE: REM sleep behavior disorder (RBD) in Parkinson’s disease (PD) is associated with characteristic clinical subtypes and prognosis. In addition, nigrostriatal pathway, the most vulnerable anatomical area in PD, formed neuronal network interplaying with cortical and subcortical structures, and which may cause PD clinical phenotype. We evaluated the regional selectivity of presynaptic striatal dopaminergic denervation associated with RBD in PD.

METHODS: We compared two groups (n = 16) of PD patients with and without RBD in terms of specific binding ratios (SBR) in subregions of the striatum, which were measured using positron emission tomography with 18F-FP-CIT. SBRs of the anterior and posterior caudate, ventral striatum, and posterior and ventral putamen regions were measured in more or less affected side, and right or left side, or bilateral sum of the striatum.

RESULTS: Age, disease duration, and severity of parkinsonism were not significantly different between groups. Although group differences in all areas were not significant with multiple comparison corrections, SBR of the ventral striatum and anterior caudate in sum of both sides was significantly less in the RBD than in the non-RBD group without correction (p < 0.05). In the right anterior caudate and left ventral striatum, SBR was also lower in the RBD than in the non-RBD group without correction (p < 0.05). Attention function was impaired in the RBD group compared with the non-RBD group (p < 0.05). However, these statistical significances were not definite after correction of multiple comparisons (p > 0.05).

CONCLUSIONS: There is a possibility that RBD in early PD may be associated with presynaptic dopaminergic denervation in the ventral striatum and anterior caudate, which may explain decreased attention in our RBD group. RBD in PD may imply a distinct pathological progression. However, further study using large numbers of participants or longitudinal observation is necessary for the statistical conclusion because of small sample size.

PMID:36722243 | DOI:10.31083/j.jin2201018

J Integr Neurosci. 2023 Jan 17;22(1):24. doi: 10.31083/j.jin2201024.

ABSTRACT

BACKGROUND: The left primary motor area (M1) stimulation has recently been revealed to promote post-stroke aphasia (PSA) recovery, of which a plausible mechanism might be the semantic and/or the mirror neuron system reorganization, but the direct evidence is still scarce. The aim of this study was to explore the functional connectivity (FC) alterations induced by the left M1 intermittent theta burst stimulation (iTBS), a new transcranial magnetic stimulation paradigm, in the semantic and mirror neuron systems of PSA patients.

METHODS: Sixteen PSA patients accepted the left M1 iTBS and underwent a resting-state functional magnetic resonance image (fMRI) scanning before and immediately after the first session of iTBS, of which six underwent another fMRI scanning after twenty sessions of iTBS. Three brain networks covering the semantic and the mirror neuron systems were constructed using the fMRI data, and the FC alterations following one-session iTBS were investigated in the networks. Additional seed-based FC analyses were conducted to explore the longitudinal FC patterns changes during the course of multi-session iTBS. The Aphasia quotient of the Chinese version of the western aphasia battery (WAB-AQ) was used to assess the severity of the language impairments of the participants. The relationship between the longitudinal WAB-AQ and network FC changes was analyzed by Spearman’s correlation coefficients in the multi-session iTBS sub-group.

RESULTS: Decreased FCs were noted in the bilateral semantic rather than in the mirror neuron networks following one-session of iTBS (p < 0.05, network based statistical corrected). Longitudinal seed-based FC analyses revealed changing FC ranges along the multi-session iTBS course, extending beyond the semantic networks. No significant relationship was found between the longitudinal WAB-AQ and network FC changes in the multi-session iTBS sub-group.

CONCLUSIONS: The left M1 iTBS might induce FC changes in the semantic system of PSA patients.

CLINICAL TRIAL REGISTRATION: This research was registered on the Chinese Clinical Trial Registry website (http://www.chictr.org.cn/index.aspx), and the registration number is ChiCTR2100041936.

PMID:36722227 | DOI:10.31083/j.jin2201024

J Genet. 2023;102:3.

ABSTRACT

Milkfish (Chanos chanos) belongs to the family Chanidae and it is a potential candidate species for aquaculture with the best biological characteristics. This study investigates the genetic diversity and population structure of C. chanos along the Indian coast using cytochrome b (cyt b) sequences of mitochondrial DNA (mtDNA). A total of 90 samples collected from five different locations across the Indian coast were sequenced for analysis using cyt b. The sequencing of a 1100-bp cyt b mtDNA fragment revealed the presence of 38 haplotypes with a haplotype diversity value of 0.835 and a nucleotide diversity value of 0.00400. The variation within and among populations accounted for about 97.33% and 2.67%, respectively. The fixation index analysis indicated that there is no significant genetic divergence among the populations from different geographical areas. Neighbour-joining tree analysis of the haplotype data showed no distinct patterns of phylogeographic structure. Results from this study indicated that there is a lack of genetic divergence between the populations of C. chanos along the Indian coast. The haplotype network showed star-like geneology which indicated the demographic expansion of the C. chanos population in these locations. The recent demographic expansion of the C. chanos population was also supported by the results of Tajima’s D statistics. Results from this study can be used for planning effective strategies for the conservation and management of the C. chanos population in the wild.

PMID:36722222

Eur J Anaesthesiol. 2023 Mar 1;40(3):179-189. doi: 10.1097/EJA.0000000000001793. Epub 2023 Jan 11.

ABSTRACT

BACKGROUND: About 300 million surgeries are performed worldwide annually and this figure is increasing constantly. Peri-operative myocardial injury (PMI), detected by cardiac troponin (cTn) elevation, is a common cardiac complication of noncardiac surgery, strongly associated with short- and long-term mortality. Without systematic peri-operative cTn screening, most cases of PMI may go undetected. However, little is known about cost effectiveness of a systematic PMI screening strategy with high-sensitivity cardiac troponin T (hs-cTnT) after noncardiac surgery.

OBJECTIVE: To assess, in patients with high cardiovascular risk, the cost-effectiveness of a systematic screening strategy using a hs-cTnT assay, to identify patients with PMI after major noncardiac surgery, compared with usual care.

DESIGN: Cost-effectiveness analysis; single centre prospective cohort study.

SETTING: Spanish University Hospital.

PATIENTS: From July 2016 to March 2019, we included 1477 consecutive surgical patients aged ≥65 or if <65, with documented history of cardiovascular disease or impaired renal function, who underwent major noncardiac surgery and required at least an overnight hospital stay. We excluded patients aged <65 years without cardiovascular disease, undergoing minor surgery, or with an expected <24 h hospital stays.

INTERVENTIONS: We conducted a decision-tree analysis, comparing a systematic screening strategy measuring hs-cTnT before surgery, and at the 2nd and 3rd days after surgery vs. a usual care strategy. We considered a third-party payer perspective and the outcomes of both strategies in the short-term (30 days follow-up). Information about costs was expressed in Euros-2021. We calculated the incremental cost-effectiveness ratio (ICER) of the systematic hs-cTnT strategy, defined as the expected cost per any additional PMI detected, and explored the robustness of the model using deterministic and probabilistic sensitivity analysis.

MAIN OUTCOME MEASURES: ICER of the systematic hs-cTnT screening strategy.

RESULTS: The ICER was €425 per any additionally detected PMI. The deterministic sensitivity analysis showed that a 15% variation in costs, and a 1% variation in the predictive values, had a minor impact over the ICER, except in case of the negative predictive value of the systematic hs-cTnT screening strategy. Monte Carlo simulations (probabilistic sensitivity analysis) showed that systematic hs-cTnT screening would be cost-effective in 100% of cases with a ‘willingness to pay’ of €780.

CONCLUSIONS: Our results suggest that systematic peri-operative PMI screening with hs-cTnT may be cost-effective in the short-term in patients undergoing major noncardiac surgery. Economic evaluations, with a long-term horizon, are still needed.

TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT03438448.

PMID:36722187 | DOI:10.1097/EJA.0000000000001793

Mult Scler. 2023 Feb 1:13524585221150881. doi: 10.1177/13524585221150881. Online ahead of print.

ABSTRACT

BACKGROUND: Data are sparse regarding the safety of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in patients with multiple sclerosis (MS).

OBJECTIVE: To estimate (1) the pooled proportion of MS patients experiencing relapse among vaccine recipients; (2) the rate of transient neurological worsening, adverse events, and serious adverse events; (3) the previous outcomes of interest for different SARS-CoV-2 vaccine types.

METHODS: Systematic review and meta-analysis of pharmacovigilance registries and observational studies.

RESULTS: Nineteen observational studies comprising 14,755 MS patients who received 23,088 doses of COVID-19 vaccines were included. Mean age was 43.3 years (95% confidence interval (CI): 40-46.6); relapsing-remitting, secondary-progressive, primary-progressive MS and clinically isolated syndrome were diagnosed in 82.6% (95% CI: 73.9-89.8), 12.6% (95% CI: 6.3-20.8), 6.7% (95% CI: 4.2-9.9), and 2.9% (95% CI: 1-5.9) of cases, respectively. The pooled proportion of MS patients experiencing relapse at a mean time interval of 20 days (95% CI: 12-28.2) from vaccination was 1.9% (95% CI: 1.3%-2.6%; I² = 78%), with the relapse risk being independent of the type of administered SARS-CoV-2-vaccine (p for subgroup differences = 0.7 for messenger RNA (mRNA), inactivated virus, and adenovector-based vaccines). After vaccination, transient neurological worsening was observed in 4.8% (95% CI: 2.3%-8.1%) of patients. Adverse events and serious adverse events were reported in 52.8% (95% CI: 46.7%-58.8%) and 0.1% (95% CI: 0%-0.2%) of vaccinations, respectively.

CONCLUSION: COVID-19 vaccination does not appear to increase the risk of relapse and serious adverse events in MS. Weighted against the risks of SARS-CoV-2-related complications and MS exacerbations, these safety data provide compelling pro-vaccination arguments for MS patients.

PMID:36722184 | DOI:10.1177/13524585221150881

Sci Rep. 2023 Jan 31;13(1):1806. doi: 10.1038/s41598-023-29009-w.

ABSTRACT

Human activities, including urbanization, industrialization, agricultural pollution, and land use, have contributed to the increased fragmentation of natural habitats and decreased biodiversity in Zhejiang Province as a result of socioeconomic development. Numerous studies have demonstrated that the protection of ecologically significant species can play a crucial role in restoring biodiversity. Emeia pseudosauteri is regarded as an excellent environmental indicator, umbrella and flagship species because of its unique ecological attributes and strong public appeal. Assessing and predicting the potential suitable distribution area of this species in Zhejiang Province can help in the widespread conservation of biodiversity. We used the MaxEnt ecological niche model to evaluate the habitat suitability of E. pseudosauteri in Zhejiang Province to understand the potential distribution pattern and environmental characteristics of suitable habitats for this species, and used the AUC (area under the receiver operating characteristic curve) and TSS (true skill statistics) to evaluate the model performance. The results showed that the mean AUC value was 0.985, the standard deviation was 0.011, the TSS average value was 0.81, and the model prediction results were excellent. Among the 11 environmental variables used for modeling, temperature seasonality (Bio_4), altitude (Alt) and distance to rivers (Riv_dis) were the key variables affecting the distribution area of E. pseudosauteri, with contributions of 33.5%, 30% and 15.9%, respectively. Its main suitable distribution area is in southern Zhejiang Province and near rivers, at an altitude of 50-300 m, with a seasonal variation in temperature of 7.7-8 °C. Examples include the Ou River, Nanxi River, Wuxi River, and their tributary watersheds. This study can provide a theoretical basis for determining the scope of E. pseudosauteri habitat protection, population restoration, resource management and industrial development in local areas.

PMID:36721021 | DOI:10.1038/s41598-023-29009-w

Sci Rep. 2023 Jan 31;13(1):1727. doi: 10.1038/s41598-023-28874-9.

ABSTRACT

The use of data-driven decision support by public agencies is becoming more widespread and already influences the allocation of public resources. This raises ethical concerns, as it has adversely affected minorities and historically discriminated groups. In this paper, we use an approach that combines statistics and data-driven approaches with dynamical modeling to assess long-term fairness effects of labor market interventions. Specifically, we develop and use a model to investigate the impact of decisions caused by a public employment authority that selectively supports job-seekers through targeted help. The selection of who receives what help is based on a data-driven intervention model that estimates an individual’s chances of finding a job in a timely manner and rests upon data that describes a population in which skills relevant to the labor market are unevenly distributed between two groups (e.g., males and females). The intervention model has incomplete access to the individual’s actual skills and can augment this with knowledge of the individual’s group affiliation, thus using a protected attribute to increase predictive accuracy. We assess this intervention model’s dynamics-especially fairness-related issues and trade-offs between different fairness goals- over time and compare it to an intervention model that does not use group affiliation as a predictive feature. We conclude that in order to quantify the trade-off correctly and to assess the long-term fairness effects of such a system in the real-world, careful modeling of the surrounding labor market is indispensable.

PMID:36721013 | DOI:10.1038/s41598-023-28874-9

Sci Rep. 2023 Jan 31;13(1):1801. doi: 10.1038/s41598-023-28750-6.

ABSTRACT

Although computer vision syndromes are becoming a major public health concern, less emphasis is given to them, particularly in developing countries. There are primary studies on different continents; however, there are inconsistent findings in prevalence among the primary studies. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of computer vision syndrome. In this study, the review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Online electronic databases, including PubMed/Medline, CINAHL, and Google Scholar, were used to retrieve published and unpublished studies. The study was conducted from December 1 to April 9/2022. Study selection, quality assessment, and data extraction were performed independently by two authors. Quality assessment of the studies was performed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument tool. Heterogeneity was assessed using the statistical test I². STATA 14 software was used for statistical analysis. A total of 7,35 studies were retrieved, and 45 studies were included in the final meta-analysis. The pooled prevalence of computer vision syndrome was 66% (95% CI: 59, 74). Subgroup analysis based on country was highest in Pakistan (97%, 95% CI: 96, 98) and lowest in Japan (12%, 95% CI: 9, 15). Subgroup analysis based on country showed that studies in Saudi Arabia (I² = 99.41%, p value < 0.001), Ethiopia (I² = 72.6%, p value < 0.001), and India (I² = 98.04%, p value < 0.001) had significant heterogeneity. In the sensitivity analysis, no single study unduly influenced the overall effect estimate. Nearly two in three participants had computer vision syndrome. Thus, preventive practice strategic activities for computer vision syndrome are important interventions.

PMID:36720986 | DOI:10.1038/s41598-023-28750-6

Sci Rep. 2023 Jan 31;13(1):1805. doi: 10.1038/s41598-023-28970-w.

ABSTRACT

The key to most subsurface processes is to determine how structural and topological features at small length scales, i.e., the microstructure, control the effective and macroscopic properties of earth materials. Recent progress in imaging technology has enabled us to visualise and characterise microstructures at different length scales and dimensions. However, one limitation of these technologies is the trade-off between resolution and sample size (or representativeness). A promising approach to this problem is image reconstruction which aims to generate statistically equivalent microstructures but at a larger scale and/or additional dimension. In this work, a stochastic method and three generative adversarial networks (GANs), namely deep convolutional GAN (DCGAN), Wasserstein GAN with gradient penalty (WGAN-GP), and StyleGAN2 with adaptive discriminator augmentation (ADA), are used to reconstruct two-dimensional images of two hydrothermally rocks with varying degrees of complexity. For the first time, we evaluate and compare the performance of these methods using multi-point spatial correlation functions-known as statistical microstructural descriptors (SMDs)-ultimately used as external tools to the loss functions. Our findings suggest that a well-trained GAN can reconstruct higher-order, spatially-correlated patterns of complex earth materials, capturing underlying structural and morphological properties. Comparing our results with a stochastic reconstruction method based on a two-point correlation function, we show the importance of coupling training/assessment of GANs with higher-order SMDs, especially in the case of complex microstructures. More importantly, by quantifying original and reconstructed microstructures via different GANs, we highlight the interpretability of these SMDs and show how they can provide valuable insights into the spatial patterns in the synthetic images, allowing us to detect common artefacts and failure cases in training GANs.

PMID:36720975 | DOI:10.1038/s41598-023-28970-w

Sci Rep. 2023 Jan 31;13(1):1767. doi: 10.1038/s41598-022-24745-x.

ABSTRACT

Dust is an inherent byproduct of mining activities that raises notable health and safety concerns. Cumulative inhalation of respirable coal mine dust (RCMD) and respirable crystalline silica (RCS) can lead to obstructive lung diseases. Despite considerable efforts to reduce dust exposure by decreasing the permissible exposure limits (PEL) and improving the monitoring techniques, the rate of mine workers with respiratory diseases is still high. The root causes of the high prevalence of respiratory diseases remain unknown. This study aimed to investigate contributing factors in RCMD and RCS dust concentrations in both surface and underground mines. To this end, a data management approach is performed on MSHA’s database between 1989 and 2018 using SQL data management. In this process, all data were grouped by mine ID, and then, categories of interests were defined to conduct statistical analysis using the generalized estimating equation (GEE) model. The total number of 12,537 and 9050 observations for respirable dust concentration are included, respectively, in the U.S. underground and surface mines. Several variables were defined in four categories of interest including mine type, geographic location, mine size, and coal seam height. Hypotheses were developed for each category based on the research model and were tested using multiple linear regression analysis. The results of the analysis indicate higher RCMD concentration in underground compared to RCS concentration which is found to be relatively higher in surface coal mines. In addition, RCMD concentration is seen to be higher in the Interior region while RCS is higher in the Appalachia region. Moreover, mines of small sizes show lower RCMD and higher RCS concentrations. Finally, thin-seam coal has greater RCMD and RCS concentrations compared to thicker seams in both underground and surface mines. In the end, it is demonstrated that RCMD and RCS concentrations in both surface and underground mines have decreased. Therefore, further research is needed to investigate the efficacy of the current mass-concentration-based monitoring system.

PMID:36720966 | DOI:10.1038/s41598-022-24745-x