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Nevin Manimala Statistics

MENTAL HEALTH OF TEACHERS IN UKRAINIAN EDUCATIONAL ORGANIZATIONS

Wiad Lek. 2021;74(11 cz 1):2779-2783.

ABSTRACT

OBJECTIVE: The aim: To research the indicators of teachers’ mental health in a destabilizing organization of professional activities.

PATIENTS AND METHODS: Materials and methods: The study was conducted at the Poltava M. V. Ostrogradsky Regional Institute of Postgraduate Pedagogical Education, Poltava V. G. Korolenko National Pedagogical University, Volodymyr Vynnychenko Central State Pedagogical University and Poltava State Medical University in 2018-2020. The sample size of 1817 respondents (Ukraine) included 388 men and 1429 women aged 20 to 57 years. The following methods were used: “Scale of threats to occupational health” (Dziuba, 2015) and “Scale of subjective well-being” (Sokolova, 2007) adapted by T. Dziuba. The study used mathematical and statistical analysis (descriptive statistics, correlation analysis) using IBM SPSS Statistics (version 21.0).

RESULTS: Results: It was found that an unstable level of emotional comfort is dominant (57.2%). This is shown by the following indicators: “self-assessment of mental health” 61.0%, “tension and sensitivity” 54.3% and “signs of psychiatric symptoms” 53.0%. Correlation analysis revealed a significant negative impact of the threat factors “daily and weekly overtime” (p <0.01) and “overwork” (p <0.01) on mental health. There is an increase in emotional discomfort in a situation of daily and weekly overtime and overwork. There is a positive correlation between the teachers’ mental health and the indicator “significance of the professional environment” (p <0.01).

CONCLUSION: Conclusions: The study showed that teachers’ mental health in Ukrainian educational organizations is characterized by unstable emotional comfort and increased emotional discomfort, which is a consequence of unbalanced (destabilizing) working conditions: overwork, overtime. The obtained data motivates the need to conduct targete psychotherapeutic and corrective work with teachers who demonstrate professional distress.

PMID:35023492

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Nevin Manimala Statistics

Efficacy of the Ketogenic Diet for Pediatric Epilepsy According to the Presence of Detectable Somatic mTOR Pathway Mutations in the Brain

J Clin Neurol. 2022 Jan;18(1):71-78. doi: 10.3988/jcn.2022.18.1.71.

ABSTRACT

BACKGROUND AND PURPOSE: A multifactorial antiepileptic mechanism underlies the ketogenic diet (KD), and one of the proposed mechanisms of action is that the KD inhibits the mammalian target of rapamycin (mTOR) pathway. To test this clinically, this study aimed to determine the efficacy of the KD in patients with pathologically confirmed focal cortical dysplasia (FCD) due to genetically identifiable mTOR pathway dysregulation.

METHODS: A cohort of patients with pathologically confirmed FCD after epilepsy surgery and who were screened for the presence of germline and somatic mutations related to the mTOR pathway in peripheral blood and resected brain tissue was constructed prospectively. A retrospective review of the efficacy of the prior KD in these patients was performed.

RESULTS: Twenty-five patients with pathologically confirmed FCD and who were screened for the presence of detectable somatic mTOR pathway mutations had received a sufficient KD. Twelve of these patients (48.0%) had germline or somatic detectable mTOR pathway mutations. A response was defined as a ≥50% reduction in seizure frequency. The efficacy of the KD after 3 months of dietary therapy was superior in patients with detectable mTOR pathway mutations than in patients without detectable mTOR pathway mutations, although the difference was not statistically significant (responder rates of 58.3% vs. 38.5%, p=0.434).

CONCLUSIONS: A greater proportion of patients with mTOR pathway responded to the KD, but there was no statistically significant difference in efficacy of the KD between patients with and without detectable mTOR pathway mutations. Further study is warranted due to the smallness of the sample and the limited number of mTOR pathway genes tested in this study.

PMID:35021279 | DOI:10.3988/jcn.2022.18.1.71

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Nevin Manimala Statistics

Identification of Key microRNAs in Diabetes Mellitus Erectile Dysfunction Rats with Stem Cell Therapy by Bioinformatic Analysis of Deep Sequencing Data

World J Mens Health. 2022 Jan 2. doi: 10.5534/wjmh.210147. Online ahead of print.

ABSTRACT

PURPOSE: Diabetes mellitus erectile dysfunction (DMED) is a common resulting complication of diabetes. Studies have shown mesenchymal stem cell (MSC)-based therapy was beneficial in alleviating erectile function of DMED rats. While the pathogenesis of DMED and the mechanism MSCs actions are unclear.

MATERIALS AND METHODS: We constructed a rat model of DMED with or without intracavernous injection of MSCs, and performed microRNA (miRNA) sequencing of corpora cavernosa tissues.

RESULTS: We identified three overlapping differentially expressed miRNAs (rno-miR-1298, rno-miR-122-5p, and rno-miR-6321) of the normal control group, DMED group, and DMED+MSCs group. We predicted 285 target genes of three miRNAs through RNAhybrid and miRanda database and constructed a miRNA-target gene network through Cytoscape. Next, we constructed protein-protein interaction networks through STRING database and identified the top 10 hub genes with highest connectivity scores. Five GO terms including cellular response to growth factor stimulus (GO:0071363), ossification (GO:0001503), response to steroid hormone (GO:0048545), angiogenesis (GO:0001525), positive regulation of apoptotic process (GO:0043065), and one Reactome pathway (Innate Immune System) were significantly enriched by 10 hub genes using the Metascape database. We selected the GSE2457 dataset to validate the expression of hub genes and found only the expression of B4galt1 was statistically different (p<0.001). B4galt1 was highly expressed in penile tissues of diabetic rats and would be negatively regulated by rno-miR-1298.

CONCLUSIONS: Three key miRNAs were identified in DMED rats with stem cell therapy and the miR-1298/B4GalT1 axis might exert function in stem cell therapy for ED.

PMID:35021304 | DOI:10.5534/wjmh.210147

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Nevin Manimala Statistics

What We Know (and Do not Know) Regarding the Pathogenesis of Pulmonary Thrombosis in COVID-19

Semin Thromb Hemost. 2022 Jan 12. doi: 10.1055/s-0041-1742091. Online ahead of print.

ABSTRACT

The clinical course of coronavirus disease 2019 (COVID-19) is often complicated by the onset of venous thrombosis and thromboembolism (VTE), encompassing also pulmonary thrombosis. Recent statistics attests that the cumulative frequency of VTE can be as high as 30% in COVID-19 hospitalized patients, increasing to nearly 40 to 70% (depending on systematic screening) in those with severe illness, mechanical ventilation, or intensive care unit admission. The risk of venous thrombosis seems mostly limited to the active phase of disease, and is directly associated with some genetic (i.e., inherited prothrombotic predisposition) and demographical factors (male sex, overweight/obesity), disease severity (risk increasing progressively from hospitalization to development of severe illness, being the highest in patients needing mechanical ventilation and/or intensive care), presence and extent of pulmonary disease, coexistence of multiple risk factors (immobilization, mechanical ventilation, co- or superinfections), along with increased values of inflammatory and thrombotic biomarkers. At least three different phenotypes of pulmonary thrombosis may develop in COVID-19 patients, one caused by typical embolization from peripheral venous thrombosis (e.g., deep vein thrombosis), a second type triggered by local inflammation of nearby pulmonary tissue, and a third one mostly attributable to the prothrombotic state consequent to the pronounced systemic inflammatory response (i.e., the so-called cytokine storm) that is frequently observed in COVID-19. Although the pathogenesis of these three conditions has different features, their discrimination is essential for diagnostic and therapeutic purposes. The prognosis of COVID-19 patients who develop pulmonary thrombosis is also considerably worse than those who do not, thus probably needing frequent monitoring and more aggressive therapeutic management.

PMID:35021250 | DOI:10.1055/s-0041-1742091

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Nevin Manimala Statistics

Effect of earplug/eye mask on sleep and delirium in intensive care patients

Nurs Crit Care. 2022 Jan 12. doi: 10.1111/nicc.12741. Online ahead of print.

ABSTRACT

BACKGROUND: Environmental factors such as loud sounds and bright lights in intensive care units can cause sleep disorders and delirium.

AIM: The present study aims to investigate the effects of the overnight use of earplugs and eye masks by intensive care patients on their sleep quality and the degree of delirium.

STUDY DESIGN: This randomized controlled experimental study was conducted on the patients admitted to a coronary intensive care unit.

METHODS: The patients in the experimental group used earplugs and eye masks during the night, while those in the control group received only routine care. Data were collected using an information form, the Richards-Campbell sleep questionnaire (RCSQ), and the intensive care delirium screening checklist (ICDSC).

RESULTS: The study included a total of 84 patients, 42 in the experimental group and 42 in the control group. The baseline average score of the patients in the experiment group on the RCSQ was 40.11 ± 16.55, with a Time 1 average score of 64.09 ± 14.07 and a Time 2 average score of 72.07 ± 11.75; their baseline average score on the ICDSC was 0.47 ± 0.50, with a Time 1 average score of 0.33 ± 065 and a Time 2 average score of 0.19 ± 039. The baseline average score of the patients in the control group on the RCSQ was 44.07 ± 7.30, with a Time 1 average score of 46.97 ± 9.22 and a Time 2 average score of 47.04 ± 11.53; the baseline average score of the control group on the ICDSC was 0.42 ± 0.50, with a Time 1 average score of 0.50 ± 0.70 and a Time 2 average score of 0.57 ± 0.66. A statistically significant difference was found between the Time 1 and Time 2 average scores of the experimental and control groups on the RCSQ and between the Time 2 average scores of the experimental and control groups on the ICDSC (U = 198.00, P < .001; U = 70.000, P < .001; U = 614.000, P = ·004 respectively).

CONCLUSIONS: The earplugs and eye masks used by the intensive care patients overnight were associated with an increase in sleep quality and a decrease in the degree of delirium.

RELEVANCE TO CLINICAL PRACTICE: The use of earplugs and eye masks is recommended for intensive care units in supporting sleep quality and preventing delirium.

PMID:35021263 | DOI:10.1111/nicc.12741

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Nevin Manimala Statistics

Is Molecular Mimicry between hPF4 and SARS-CoV-2 Spike Protein a Potential Basis for Autoimmune Responses in Vaccinated and Naturally Infected Patients?

Semin Thromb Hemost. 2022 Jan 12. doi: 10.1055/s-0041-1742092. Online ahead of print.

NO ABSTRACT

PMID:35021248 | DOI:10.1055/s-0041-1742092

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Nevin Manimala Statistics

Cost analysis of two types of fixed maxillary retainers and a removable vacuum-formed maxillary retainer: a randomized controlled trial

Eur J Orthod. 2022 Jan 11:cjab080. doi: 10.1093/ejo/cjab080. Online ahead of print.

ABSTRACT

BACKGROUND: There has been an increased interest in conducting healthcare economic evaluations. Also, orthodontic treatments have gathered focus from an economic point of view, however orthodontic research seldom examines both clinical and economic outcomes.

OBJECTIVE: To evaluate and compare the costs of three retention methods: a bonded retainer to the maxillary four incisors, a bonded retainer to the maxillary four incisors and canines, and a removable vacuum-formed retainer (VFR) in the maxilla. The null hypothesis was that there was no difference in costs for the three types of retention methods.

TRIAL DESIGN: Three-arm, parallel group, single-centre, randomized controlled trial.

MATERIALS AND METHODS: Ninety adolescent patients, 54 girls and 36 boys, treated with fixed or removable retainers in the maxilla, were recruited to the study. The patients were randomized in blocks of 30, by an independent person, to one of three groups: bonded multistranded PentaOne (Masel Orthodontics) retainer 13-23, bonded multistranded PentaOne (Masel Orthodontics) retainer 12-22, and removable VFR. A cost analysis was made regarding chair time costs based on the costs per hour for the specialist in orthodontics, and material costs plus any eventual costs for repairs of the appliance. Changes in Little’s irregularity index and in single contact point discrepancies (CPDs) were measured on digitalized three-dimensional study casts. Data were evaluated on an intention-to-treat basis. The analysis was performed at 2 years of retention.

RESULTS: No statistically significant difference in costs between the maxillary fixed retainers and the VFRs was found, however, the material and emergency costs were significantly higher for the VFR compared with the bonded retainers. All three retention methods showed equally effective retention capacity, and no statistically significant differences in irregularity or CPDs of the maxillary anterior teeth in the three groups was detected.

LIMITATIONS: It was a single-centre trial, and hence less generalizable. Costs depended on local factors, and consequently, cannot be directly transferred to other settings.

CONCLUSIONS: All three retention methods can be recommended when considering costs and retention capacity.

TRIAL REGISTRATION: NCT04616755.

PMID:35021204 | DOI:10.1093/ejo/cjab080

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Nevin Manimala Statistics

The impact of diabetes on short-, intermediate- and long-term mortality following left ventricular assist device implantation

Eur J Cardiothorac Surg. 2022 Jan 11:ezab575. doi: 10.1093/ejcts/ezab575. Online ahead of print.

ABSTRACT

OBJECTIVES: Type 2 diabetes mellitus (DM) is a frequent comorbidity among patients suffering from advanced heart failure necessitating a left ventricular assist device (LVAD) implant. The goal of this study was to evaluate the impact of type 2 DM on early and long-term outcomes of patients following an LVAD implant.

METHODS: We performed an observational cohort study in a large tertiary care centre in Israel. All data of patients who underwent a continuous flow LVAD implant between 2006 and 2020 were extracted from our departmental database. Patients were divided into 2 groups: group I (patients without diabetes) and group II (patients with diabetes). We compared short-term (30-day and 3-month) mortality, intermediate-term (1- and 3-year) mortality and long-term (5 year) mortality between the 2 groups.

RESULTS: The study population included 154 patients. Group I (patients without diabetes) comprised 88 patients and group II (patients with diabetes) comprised 66 patients. The mean follow-up duration was 38.2 ± 30.3 months. Short- and intermediate-term mortality (30 days, 1 year and 3 years) was higher in the group with DM compared with the group without DM but did not reach any statistically significant difference: 16.1% vs 9.8% (P = 0.312), 24.2% vs 17.3% (P = 0.399) and 30.6% vs 21.9% (P = 0.127) respectively. Long-term 5-year mortality was significantly higher in the group with DM compared to the group without: 38.7% vs 24.4% (P = 0.038). Furthermore, predictors of long-term mortality included diabetes (hazard ratio 2.09, confidence interval 1.34-2.84, P = 0.004), as demonstrated by regression analysis.

CONCLUSIONS: Patients with diabetes and those without diabetes have similar 30-day and short- and intermediate-term mortality rates. The mortality risk of diabetic patients begins to increase 3 years after an LVAD implant. Diabetes is an independent predictor of long-term, 5-year mortality after an LVAD implant.

CLINICAL TRIAL REGISTRATION: Ethical Committee of Sheba Medical Centre, Israel, on 2 December 2014, Protocol 4257.

PMID:35021207 | DOI:10.1093/ejcts/ezab575

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Nevin Manimala Statistics

A comprehensive comparison of supervised and unsupervised methods for cell type identification in single-cell RNA-seq

Brief Bioinform. 2022 Jan 11:bbab567. doi: 10.1093/bib/bbab567. Online ahead of print.

ABSTRACT

The cell type identification is among the most important tasks in single-cell RNA-sequencing (scRNA-seq) analysis. Many in silico methods have been developed and can be roughly categorized as either supervised or unsupervised. In this study, we investigated the performances of 8 supervised and 10 unsupervised cell type identification methods using 14 public scRNA-seq datasets of different tissues, sequencing protocols and species. We investigated the impacts of a number of factors, including total amount of cells, number of cell types, sequencing depth, batch effects, reference bias, cell population imbalance, unknown/novel cell type, and computational efficiency and scalability. Instead of merely comparing individual methods, we focused on factors’ impacts on the general category of supervised and unsupervised methods. We found that in most scenarios, the supervised methods outperformed the unsupervised methods, except for the identification of unknown cell types. This is particularly true when the supervised methods use a reference dataset with high informational sufficiency, low complexity and high similarity to the query dataset. However, such outperformance could be undermined by some undesired dataset properties investigated in this study, which lead to uninformative and biased reference datasets. In these scenarios, unsupervised methods could be comparable to supervised methods. Our study not only explained the cell typing methods’ behaviors under different experimental settings but also provided a general guideline for the choice of method according to the scientific goal and dataset properties. Finally, our evaluation workflow is implemented as a modularized R pipeline that allows future evaluation of new methods. Availability: All the source codes are available at https://github.com/xsun28/scRNAIdent.

PMID:35021202 | DOI:10.1093/bib/bbab567

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Nevin Manimala Statistics

Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review

ORL J Otorhinolaryngol Relat Spec. 2022 Jan 12:1-11. doi: 10.1159/000520672. Online ahead of print.

ABSTRACT

INTRODUCTION: Despite multiple prognostic indicators described for oral cavity squamous cell carcinoma (OCSCC), its management still continues to be a matter of debate. Machine learning is a subset of artificial intelligence that enables computers to learn from historical data, gather insights, and make predictions about new data using the model learned. Therefore, it can be a potential tool in the field of head and neck cancer.

METHODS: We conducted a systematic review.

RESULTS: A total of 81 manuscripts were revised, and 46 studies met the inclusion criteria. Of these, 38 were excluded for the following reasons: use of a classical statistical method (N = 16), nonspecific for OCSCC (N = 15), and not being related to OCSCC survival (N = 7). In total, 8 studies were included in the final analysis.

CONCLUSIONS: ML has the potential to significantly advance research in the field of OCSCC. Advantages are related to the use and training of ML models because of their capability to continue training continuously when more data become available. Future ML research will allow us to improve and democratize the application of algorithms to improve the prediction of cancer prognosis and its management worldwide.

PMID:35021182 | DOI:10.1159/000520672