Category: Statistics

Endocr Pathol. 2022 May 21. doi: 10.1007/s12022-022-09721-5. Online ahead of print.

ABSTRACT

Conventional cytology-based diagnosis for thyroid cancer is limited with more than 30-45% of nodules categorized as indeterminate, necessitating surgery for confirming or refuting the diagnosis. This systematic review and meta-analysis were aimed at identifying immunocytochemical markers effective in delineating benign from malignant thyroid lesions in fine needle aspiration cytology (FNAC) samples, thereby improving the accuracy of cytology diagnosis. A systematic review of relevant articles (2000-2021) from online databases was carried out and the search protocol registered in PROSPERO database (CRD42021229121). The quality of studies was assessed using QUADAS-2. Review Manager 5.4.1 from Cochrane collaboration and MetaDisc Version 1.4 was used to conduct the meta-analysis. Bias in the studies were visually analyzed using funnel plots, and statistical significance was evaluated by Egger’s test. Systematic review identified 64 original articles, while meta-analysis in eligible articles (n = 41) identified a panel of 5 markers, Galectin-3, HBME-1, CK-19, CD-56, and TPO. Assessment of the diagnostic performance revealed that Gal-3 (sensitivity: 0.81; CI: 0.79-0.83; specificity: 0.84; CI: 0.82-0.85) and HBME-1 (sensitivity: 0.83; Cl: 0.81-0.86; specificity: 0.85; CI: 0.83-0.86) showed high accuracy in delineating benign from malignant thyroid nodules. Efficacy analysis in indeterminate nodules showed Gal-3 and HBME-1 have high specificity of 0.86 (CI 0.84-0.89) and 0.82 (CI 0.78-0.86), respectively, and low sensitivity of 0.76 (CI 0.72-0.80) and 0.75 (CI 0.70-0.80), respectively. Diagnostic odds ratio (DOR) of Galectin-3 and HBME-1 were 39.18 (CI 23.38-65.65) and 24.44 (CI 11.16-53.54), respectively. Significant publication bias was observed for the markers Galectin-3 and CK-19 (p < 0.05). The panel of 5 markers identified from this meta-analysis are high-confidence candidates that need to be validated in thyroid cytology to establish their efficacy and enable clinical applicability.

PMID:35596875 | DOI:10.1007/s12022-022-09721-5

Environ Sci Pollut Res Int. 2022 May 21. doi: 10.1007/s11356-022-20865-z. Online ahead of print.

ABSTRACT

In settlements, special attention is given to the study of anthropogenic aerosol pollution, and insufficient attention is given to natural sources of pollution, especially from active zones of the Earth. The aim of this work was to study atmospheric pollution (the Srednyaya Akhtuba village (Volgograd region, Russia)) using indicators (pH; EC, μS/cm) of aerosol suspensions (washing off aerosols from the leaves of Prunus armeniaca L.) during 2018-2020 and the forecast of pollution sources. Research hypothesis: low mineralization and close to neutral acidity of aerosol suspensions indicate the purity of the atmospheric air, and there is no load of anthropogenic and natural sources. Acid mineralized aerosols were found in the residential area of Srednyaya Akhtuba, which indicates air pollution during 2018-2020. The correlation relationship between pH and EC in μS/cm was investigated using standard least squares regression. The results obtained indicate statistically significant differences between the experimental territory and the (relatively) clean location from 2018 to 2020 in terms of the studied indicators, as well as the revealed correlation between them in Srednyaya Akhtuba village, which indicates the revealed patterns and the influence of the system factor. Anthropogenic and natural sources were the system factors. The authors predict an active underground ancient volcanic zone in the area of Srednyaya Akhtuba with a possible natural load on the residential areas of the village, the assumption of which is based on analysis of heat anomaly maps using the Landsat-8 program and other programs.

PMID:35596864 | DOI:10.1007/s11356-022-20865-z

Environ Sci Pollut Res Int. 2022 May 21. doi: 10.1007/s11356-022-20889-5. Online ahead of print.

ABSTRACT

Concern regarding global climate change and its detrimental effects on society demands the building sector, one of the major contributors to global warming. Reducing cement usage is a significant challenge for the concrete industry; achieving this objective can help reduce global carbon dioxide emissions. Replacing the cement in concrete with by-product ashes is a promising approach for reducing the embodied carbon in concrete and improving some of its properties. Among different by-product ashes, ground granulated blast furnace slag (GGBFS) is a viable option to produce sustainable self-compacting concrete (SCC). Compressive strength (CS), on the other hand, is an essential characteristic among other evaluated properties. As a result, establishing trustworthy models to forecast the CS of SCC is critical to saving cost, time, and energy. Furthermore, it provides helpful instruction for planning building projects and determining the best time to remove the formwork. In this study, four alternative models were suggested to predict the CS of SCC mixes produced by GGBFS: the artificial neural network (ANN), nonlinear model (NLR), linear relationship model (LR), and multi-logistic model (MLR). To do so, an extensive set of data consisting of about 200 mixtures were extracted and analyzed to develop the models, and various mixture proportions and curing times were considered input variables. To test the effectiveness of the suggested models, several statistical evaluations including determination coefficient (R²), mean absolute error (MAE), scatter index (SI), root mean squared error (RMSE), and objective (OBJ) value were utilized. In comparison to other models, the ANN model performed better to forecast the CS of SCC mixes incorporating GGBFS. The RMSE, MAE, OBJ, and R² values for this model were 4.73 MPa, 2.3 MPa, 3.4 MPa, and 0.955, respectively.

PMID:35596861 | DOI:10.1007/s11356-022-20889-5

Environ Sci Pollut Res Int. 2022 May 21. doi: 10.1007/s11356-022-20766-1. Online ahead of print.

ABSTRACT

The large population residing in the northern region of India surrounding Delhi mostly depends on water of River Yamuna, a tributary of mighty Ganga for agriculture, drinking and various religious activities. However, continuous anthropogenic activities mostly due to pollution mediated by rapid urbanization and industrialization have profoundly affected river microflora and their function thus its health. In this study, potential of whole-genome metagenomics was exploited to unravel the novel consortia of microbiome and their functional potential in the polluted sediments of the river at Delhi. Analysis of high-quality metagenome data from Illumina NextSeq500 revealed substantial differences in composition of microbiota at different sites dominated by Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria and Chloroflexi phyla. The presence of highly dominant anaerobic bacteria like Dechloromonas aromatica (benzene reducing and denitrifying), Rhodopseudomonas palustris (organic matter reducing), Syntrophus aciditrophicus (fatty acid reducing) and Syntrophobacter fumaroxidans (sulphate reducing) in the polluted river Yamuna signifies the impact of unchecked pollution in declining health of the river ecosystem. A decline in abundance of phages was also noticed along the downstream river Yamuna. Mining of mycobiome reads uncovered plethora of fungal communities (i.e. Nakaseomyces, Aspergillus, Schizosaccharomyces and Lodderomyces) in the polluted stretches due to the availability of higher organic carbon and total nitrogen (%) could be decoded as promising bioindicators of river trophic status. Pathway analysis through KEGG revealed higher abundance of genes involved in energy metabolism (nitrogen and sulphur), methane metabolism, degradation of xenobiotics (Nitrotoluene, Benzoate and Atrazine), two-component system (atoB, cusA and silA) and membrane transport (ABC transporters). Catalase-peroxidase and 4-hydroxybenzoate 3-monooxygenase were the most enriched pollution degrading enzymes in the polluted study sites of river Yamuna. Overall, our results provide crucial insights into microbial dynamics and their function in response to high pollution and could be insightful to the ongoing remediation strategies to clean river Yamuna.

PMID:35596862 | DOI:10.1007/s11356-022-20766-1

Bull Math Biol. 2022 May 21;84(7):67. doi: 10.1007/s11538-022-01016-4.

ABSTRACT

We derive a discrete predator-prey model from first principles, assuming that the prey population grows to carrying capacity in the absence of predators and that the predator population requires prey in order to grow. The proposed derivation method exploits a technique known from economics that describes the relationship between continuous and discrete compounding of bonds. We extend standard phase plane analysis by introducing the next iterate root-curve associated with the nontrivial prey nullcline. Using this curve in combination with the nullclines and direction field, we show that the prey-only equilibrium is globally asymptotic stability if the prey consumption-energy rate of the predator is below a certain threshold that implies that the maximal rate of change of the predator is negative. We also use a Lyapunov function to provide an alternative proof. If the prey consumption-energy rate is above this threshold, and hence the maximal rate of change of the predator is positive, the discrete phase plane method introduced is used to show that the coexistence equilibrium exists and solutions oscillate around it. We provide the parameter values for which the coexistence equilibrium exists and determine when it is locally asymptotically stable and when it destabilizes by means of a supercritical Neimark-Sacker bifurcation. We bound the amplitude of the closed invariant curves born from the Neimark-Sacker bifurcation as a function of the model parameters.

PMID:35596850 | DOI:10.1007/s11538-022-01016-4

Clin Exp Nephrol. 2022 May 21. doi: 10.1007/s10157-022-02230-z. Online ahead of print.

ABSTRACT

INTRODUCTION: Adrenal insufficiency in hemodialysis patients is commonly encountered in clinical practice. However, its association with end-stage renal disease is unclear. We investigated the relationship between adrenal function and relevant clinical parameters, focusing on dialysis vintage.

METHODS: Altogether, 100 maintenance hemodialysis patients were enrolled (age: 69.8 ± 11.8 years, dialysis vintage: 9.4 ± 9.2 years). Basal serum cortisol levels were measured and their associations with relevant clinical parameters were investigated. Subsequently, hormone stimulation tests were performed to assess adrenal function.

RESULTS: Basal serum cortisol significantly decreased with an increase in dialysis vintage (< 10 years, 11.9 ± 3.7 μg/dL; 10-19 years, 10.9 ± 2.9 μg/dL; ≥ 20 years, 9.7 ± 3.8 μg/dL). Basal cortisol was negatively correlated with dry weight, β2-microglobulin, creatinine, and lymphocyte count and positively correlated with brachial-ankle pulse wave velocity. Significant negative correlations were observed between basal cortisol and dialysis vintage after adjusting for confounding variables in the multivariate analysis. Standard adrenocorticotropic hormone (ACTH) and corticotropin-releasing hormone (CRH) stimulation tests were performed in 17 patients. Seven patients were diagnosed with adrenal insufficiency and all of them had a long dialysis vintage (≥ 10 years). According to the rapid ACTH test, cortisol responses were significantly decreased in patients with long dialysis vintage compared to those with short dialysis vintage (< 10 years). Similar findings were observed in ten patients without adrenal insufficiency. The CRH loading test showed similar tendencies, although the differences were not statistically significant.

CONCLUSIONS: Adrenal function decreased with an increase in dialysis vintage. Long-term dialysis patients might be susceptible to adrenal insufficiency.

PMID:35596828 | DOI:10.1007/s10157-022-02230-z

J Neurol. 2022 May 21. doi: 10.1007/s00415-022-11185-w. Online ahead of print.

ABSTRACT

OBJECTIVE: To verify the safety and potential effect on ALS progression of a low-intensity immunosuppressive regimen followed by autologous hematopoietic stem cell transplantation (aHSCT) in amyotrophic lateral sclerosis (ALS) patients.

METHODS: ALS eligible patients underwent a set of clinical and laboratory evaluations at T-4 (screening), T-1 (pre-treatment visit), and for the 12 consecutive months after treatment (T3, T6, T9, T12). We evaluated the tolerability of the procedure, its efficacy on clinical course and quality of life (QoL).

RESULTS: Eight of the 11 ALS patients enrolled received the established immunoablative protocol. The procedure was well tolerated and side effects were those expected. One patient died 4 months after the conditioning regimen and another patient underwent tracheotomy just before T3 for a sudden respiratory failure, but he is still alive 4 years after the procedure without being ventilated any more. A third patient died 10 months after conditioning. In the other cases, there was no statistical difference in all functional measures and QoL pre- and post-treatment; however, a transitory slopes’ reduction of ALSFRS-R and seated SVC% after the conditioning procedures was reported. Moreover, although not statistically significant, trends of reduction of CD4 + and increment of CD8 + were found.

CONCLUSIONS: aHSCT was overall well tolerated, but it was not followed by any significant modification in disease progression. Considering the negative results of this small trial, further studies aimed to evaluate the possible efficacy of the aHSCT using a higher-intensity regimen should be carefully and with caution evaluated.

PMID:35596795 | DOI:10.1007/s00415-022-11185-w

Appl Microbiol Biotechnol. 2022 May 21. doi: 10.1007/s00253-022-11980-5. Online ahead of print.

ABSTRACT

Oral cavity squamous cell carcinoma (OSCC) is the most common type of head and neck cancer worldwide. Smokeless tobacco (SLT) has been well proven for its role in oral carcinogenesis due to the abundance of several carcinogens. However, the role of inhabitant microorganisms in the oral cavity of smokeless tobacco users has not yet been well explored in the context of OSCC. Therefore, the present investigation was conceived to analyze the oral bacteriome of smokeless tobacco users having OSCC (CP group). With the assistance of illumina-based sequencing of bacterial-specific V3 hypervariable region of 16S rDNA gene, 71,969 OTUs (operational taxonomic units) were categorized into 18 phyla and 166 genera. The overall analysis revealed that the oral bacteriome of the patients with OSCC, who were smokeless tobacco users, was significantly different compared to the healthy smokeless tobacco users (HTC group) and non-users (HI users). The appearance of 14 significantly abundant genera [FDR (false discovery rate) adjusted probability value of significance (p value) < 0.05] among the CP group showed the prevalence of tobacco-specific nitrosamines forming bacteria (Staphylococcus, Fusobacterium, and Campylobacter). The functional attributes of the oral bacteriome of the CP group can also be correlated with the genes involved in oncogenesis. This study is the first report on the oral bacteriome of Indian patients with OSCC who were chronic tobacco chewers. The results of the present study will pave the way to understand the influence of smokeless tobacco on the oral bacteriome of OSCC patients. KEY POINTS: • Oral bacteriome of OSCC patients differ from healthy smokeless tobacco (SLT) users and SLT non-users. • Smokeless tobacco influences the oral bacteriome of OSCC group. • Oral bacteriome specific diagnostics may be developed for pre-diagnosis of oral cancer.

PMID:35596785 | DOI:10.1007/s00253-022-11980-5

J Neurol. 2022 May 21. doi: 10.1007/s00415-022-11167-y. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: The pathologic substrates or neuroanatomic regions responsible for similarities in behavioral features seen in autism spectrum disorder and late-life dementia remain unknown. The present study examined the neuropathologic features of late-life dementia in research volunteers with and without antemortem behaviors characteristic of autism spectrum disorders.

METHODS: Antemortem cross-sectional assessment of autistic spectrum behaviors proximal to death in persons with diagnosis of mild cognitive impairment or dementia was completed using the Gilliam Autism Rating Scale, 2nd edition (GARS-2), followed by postmortem quantitative and semiquantitative neuropathologic assessment. All individuals who completed the GARS-2 prior to autopsy were included (n = 56) and we note that no participants had known diagnosis of autism spectrum disorder. The GARS-2 was used as an antemortem screening tool to stratify participants into two groups: “Autism Possible/Very Likely” or “Autism Unlikely.” Data were analyzed using nonparametric statistics comparing location and scale to evaluate between-group differences in pathologic features.

RESULTS: Neurofibrillary tangles (NFT; p = 0.028) density and tau burden (p = 0.032) in the frontal region, the NFT density (p = 0.048) and neuritic plaque burden (p = 0.042), and the tau burden (p = 0.032) of the temporal region, were significantly different in scale between groups. For measures with significant group differences, the medians of the Autism Possible/Very Likely group were roughly equal to the 75th percentile of the Autism Unlikely group (i.e., the distributions were shifted to the right).

DISCUSSION: This study links behaviors characteristic of autism to increased pathologic tau burden in the frontal and temporal lobes in persons with late-life dementia. Additional studies are needed to determine causal factors and treatment options for behaviors characteristic of autism behaviors in late-life dementias.

PMID:35596794 | DOI:10.1007/s00415-022-11167-y

Eur Radiol. 2022 May 21. doi: 10.1007/s00330-022-08796-2. Online ahead of print.

ABSTRACT

OBJECTIVES: To explore the impact of deep learning reconstruction (DLR) on image quality and machine learning-based coronary CT angiography (CTA)-derived fractional flow reserve (CT-FFR_ML) values.

METHODS: Thirty-three consecutive patients with known or suspected coronary artery disease who underwent coronary CTA and subsequent invasive coronary angiography were enrolled. DLR was compared with filtered back projection (FBP), statistical-based iterative reconstruction (SBIR), model-based iterative reconstruction (MBIR) Cardiac, and MBIR Cardiac sharp for objective image qualities of coronary CTA. Invasive fractional flow reserve (FFR) and quantitative flow ratio (QFR) were used as the reference standards. The diagnostic performances of different reconstruction approach-based CT-FFR_ML were calculated.

RESULTS: A total of 182 lesions in 33 patients were enrolled for analysis. The image quality of DLR was superior to the others. There were no significant differences in the CT-FFR_ML values among these five approaches (all p > 0.05). Of the 182 lesions, 17 had invasive FFR results, and 70 had QFR results. Using FFR as a reference, MBIR Cardiac, MBIR Cardiac sharp, and DLR achieved equal diagnostic performance, slightly higher than the other reconstruction approaches (MBIR Cardiac, MBIR Cardiac sharp, and DLR: AUC = 0.82, FBP and AIDR: AUC = 0.78, all p > 0.05). Using QFR as a reference, the AUCs of FBP, SBIR, MBIR Cardiac, MBIR Cardiac sharp, and DLR were 0.83, 0.81, 0.86, 0.84, and 0.83, respectively (all p > 0.05).

CONCLUSIONS: Our study showed that the DLR algorithm improved image quality, but there were no significant differences in the CT-FFR_ML values and diagnostic performance among different reconstruction approaches.

KEY POINTS: • Deep learning-based image reconstruction (DLR) improves the image quality of coronary CTA. • CT-FFR_ML values and diagnostic performance of DLR revealed no significant differences compared to other reconstruction approaches.

PMID:35596780 | DOI:10.1007/s00330-022-08796-2