Nevin Manimala

BMC Oral Health. 2022 Jun 22;22(1):248. doi: 10.1186/s12903-022-02274-3.

ABSTRACT

BACKGROUND: Diamond particles have recently been used as abrasives in toothpastes, which raises questions about its abrasive behaviour towards enamel. This study was carried out to investigate the abrasive enamel wear caused by three diamond-loaded toothpastes (Candida White Diamond: CWD, Swiss Smile Diamond Glow: SSDG, Emoform F Diamond: EFD) and to compare it with a traditional toothpaste with silica abrasive (Colgate Total Original CTO).

METHODS: Eighty bovine enamel samples were divided into four groups (n = 20) and brushed for 21,600 cycles (60 cycles/min) for 6 h at 2.5-N brushing force. The abrasive enamel wear was recorded with a contact profilometer. The median and interquartile range (IQR) of the abrasive enamel wear was calculated in each group. Pairwise comparisons were conducted using Wilcoxon signed rank exact test and the p value was adjusted according to Holm. Significance level was set at 0.05.

RESULTS: Diamond-loaded toothpastes caused statistically significantly higher abrasive wear than the traditional toothpaste (p < 0.0001). SSDG caused statistically significantly higher enamel wear (19.0 µm (11.2)) than CWD (8.4 µm (4.6)) and EFD (7.3 µm (3.9)) (p < 0.0001).

CONCLUSIONS: Diamond-loaded toothpastes cause higher enamel wear than toothpastes with traditional abrasives and also exhibit different abrasivity behaviour compared to each other.

PMID:35733139 | DOI:10.1186/s12903-022-02274-3

BMC Nurs. 2022 Jun 23;21(1):161. doi: 10.1186/s12912-022-00939-6.

ABSTRACT

BACKGROUND: To implement developmental care accurately, neonatal intensive care unit nurses should have a proper understanding and sufficient knowledge in this field. Applying new approaches in education such as offline and online education help nurses improve their skills and knowledge. This study aimed to investigate the effect of virtual education on the perception and knowledge of neonatal developmental care in nurses working in neonatal intensive care units.

METHODS: This quasi-experimental study was conducted using a pretest-posttest design with two groups. The participants were 60 nurses working in neonatal intensive care units who were selected using convenience sampling (30 persons in each group). The data were collected before and 1 month after the intervention. The participants in the intervention group received developmental care training using an electronic file uploaded to Navid Learning Management System, while the members of the control group received no intervention. The instruments used to collect the data were the Demographic Information Questionnaire, the Developmental Care Knowledge Scale, and the Developmental Care Perception Scale. The collected data were analyzed using SPSS V25 software. All statistical tests were performed at the significance level of 0.05.

RESULTS: The Developmental Care perception scores before the intervention in the control and intervention groups were 83.40 ± 11.36 and 84.53 ± 9.48, respectively, showing no statistically significant difference (P = 0.67). Also, Developmental Care perception scores after the intervention in the control and intervention groups were 83.16 ± 13.73, and 94.70 ± 6.89, respectively, showing a statistically significant difference (P < 0.001). The results of paired t-test showed that the mean knowledge score in the control group before and after the intervention was not statistically significant (P < 0.903), while in the intervention group there was a statistically significant difference between the mean knowledge score before and after the intervention (P < 0.001). The Developmental Care Knowledge scores before the intervention in the control and intervention groups were 52.66 ± 18.08 and 77.16 ± 17.20, respectively, showing a statistically significant difference (P = 0.001). Also, Developmental Care Knowledge scores after the intervention in the control and intervention groups were 53.66 ± 26.55and 90.33 ± 13.82, respectively, showing a statistically significant difference (P < 0.001). The results of paired t-test showed that the mean knowledge score in the control group before and after the intervention was not statistically significant, while in the intervention group there was a statistically significant difference between the mean knowledge score before and after the intervention.

CONCLUSION: The results of this study showed that virtual education for the developmental care of premature infants plays an effective role in the perception and knowledge of nurses working in the neonatal intensive care unit. Therefore, the development of e-learning packages for developmental care and their availability for nurses can be a step to improve the quality of nursing care for infants admitted to the NICU.

PMID:35733128 | DOI:10.1186/s12912-022-00939-6

BMC Pediatr. 2022 Jun 22;22(1):359. doi: 10.1186/s12887-022-03222-4.

ABSTRACT

BACKGROUND: Febrile seizures are the commonest type of seizure in occurring in the first few years of life, mostly affecting children aged six months to five years old. While largely benign, the incidence of each febrile seizure increases the risk of recurrence, afebrile seizures and epilepsy. Viruses are the most frequent cause of febrile illnesses in which a febrile seizure occurs. Febrile seizure presentation patterns appear to follow a seasonal trend.

AIMS: To identify patterns of febrile seizure incidence across different seasons with specific viral activity, and to establish a framework for analysing virus circulation data with common illnesses within a shared region and population.

SETTING: Our study was a study of febrile seizure presentations in Victoria, Australia and respiratory virus detection.

PARTICIPANTS: We obtained independent datasets of emergency department febrile seizure presentations at Monash Health and all respiratory multiplex PCR tests performed at Monash Health from January 2010-December 2019 to observe common trends in virus circulation and febrile seizure incidence.

STUDY DESIGN: Trends were studied temporally through mixed effects Poisson regression analysis of the monthly incidence of febrile seizures and the rate of positive PCR tests. Peak viral seasons (95th centile incidence) were compared to median viral circulation (50th centile incidence) to calculate peak season risk ratios.

RESULTS: We found a 1.75-2.06 annual risk ratio of febrile seizure incidence in June-September. Temporal analysis of our data showed this peak in febrile seizures was attributable to circulating viruses in this season, and virus modelling showed correlation with increased rates of positive Influenza A (1.48 peak season risk ratio), Influenza B (1.31 peak season risk ratio), Human metapneumovirus (1.19 peak season risk ratio) and Respiratory Syncytial Virus (1.53 peak season risk ratio) on PCR testing.

CONCLUSION: Our ecological study statistically demonstrates the recognised winter peak in febrile seizure incidence and ascribes the seasonal relationship to several viral infections which affect the community, including a novel association with Human metapneumovirus.

PMID:35733118 | DOI:10.1186/s12887-022-03222-4

BMC Neurol. 2022 Jun 22;22(1):231. doi: 10.1186/s12883-022-02753-8.

ABSTRACT

BACKGROUND: Stroke is the main cause of oropharyngeal neurogenic dysphagia. Electrostimulation has been used as a therapeutic tool in these cases. However, there are few studies that prove its effectiveness. We evaluated the effect of functional electrostimulation as a complement to conventional speech therapy in patients with dysphagia after a stroke in a stroke unit.

METHODS: We performed a clinical, randomized, and controlled trial divided into intervention group (IG) (n = 16) and control group (CG) (n = 17). All patients were treated with conventional speech therapy, and the IG also was submitted to the functional electrotherapy. Primary outcomes were Functional Oral Ingestion Scale (FOIS) and Swallowing videoendoscopy (FEES). The degree of dysphagia was scored in functional, mild, moderate and severe dysphagia according to FEES procedure. Dysphagia Risk Evaluation Protocol (DREP) was considered a secondary outcome.

RESULTS: There was a significant difference regarding FOIS scores after 5 days of intervention in groups. Both groups also showed a tendency to improve dysphagia levels measured by FEES, although not statistically significant. Improvements on oral feeding was seen in both groups. No significant differences between groups before and after the intervention were detected by DREP scores. Electrical stimulation did not show additional benefits beyond conventional therapy when comparing outcomes between groups.

CONCLUSION: Conventional speech therapy improved oral ingestion even regardless the use of electrostimulation in a stroke unit.

TRIAL REGISTRATION: This research was registered in ClinicalTrials.gov (Identifier: NCT03649295 ) in 28/08/2018 and in the Brazilian Registry of Clinical Trials (ReBEC) (Register Number: RBR-56QK5J), approval date: 18/12/2018. HGF Ethics Committee Approval Number: N. 2.388.931.

PMID:35733098 | DOI:10.1186/s12883-022-02753-8

BMC Ecol Evol. 2022 Jun 22;22(1):83. doi: 10.1186/s12862-022-02037-2.

ABSTRACT

BACKGROUND: Hawaiian Islands offer a unique and dynamic evolutionary theatre for studying origin and speciation as the islands themselves sequentially formed by erupting undersea volcanos, which would subsequently become dormant and extinct. Such dynamics have not been used to resolve the controversy surrounding the origin and speciation of Hawaiian katydids in the genus Banza, whose ancestor could be from either the Old-World genera Ruspolia and Euconocephalus, or the New World Neoconocephalus. To address this question, we performed a chronophylogeographic analysis of Banza species together with close relatives from the Old and New Worlds.

RESULTS: Based on extensive dated phylogeographic analyses of two mitochondrial genes (COX1 and CYTB), we show that our data are consistent with the interpretation that extant Banza species resulted from two colonization events, both by katydids from the Old World rather than from the New World. The first event was by an ancestral lineage of Euconocephalus about 6 million years ago (mya) after the formation of Nihoa about 7.3 mya, giving rise to B. nihoa. The second colonization event was by a sister lineage of Ruspolia dubia. The dating result suggests that this ancestral lineage first colonized an older island in the Hawaiian-Emperor seamount chain before the emergence of Hawaii Islands, but colonized Kauai after its emergence in 5.8 mya. This second colonization gave rise to the rest of the Banza species in two major lineages, one on the older northwestern islands, and the other on the newer southwestern islands.

CONCLUSION: Chronophylogeographic analyses with well-sampled taxa proved crucial for resolving phylogeographic controversies on the origin and evolution of species colonizing a new environment.

PMID:35733091 | DOI:10.1186/s12862-022-02037-2

Mol Biol Rep. 2022 Jun 22. doi: 10.1007/s11033-022-07647-z. Online ahead of print.

ABSTRACT

BACKGROUND: Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative disease that affects motor neurons and promotes progressive muscle atrophy. Vascular Endothelial Growth Factor A (VEGF-A) plays multiple roles in the central nervous systems (CNS). The purpose of this study was to evaluate the association between single nucleotide polymorphism (SNP) VEGF-A rs28357093 and ALS.

METHODS AND RESULTS: This case-control study was conducted in 101 ALS patients and 119 healthy individuals. Genotyping was performed by Polymerase Chain Reaction – Restriction Fragment Length Polymorphism (PCR-RFLP). The statistical analysis was carried out using the RStudio® and SNPStats© software’s. Analysis of genetic inheritance models was performed by logistic regression. Our findings demonstrated a strong association between VEGF- A rs28357093 and ALS in all genetic inheritance models, with a 9-fold increased risk for A/C – C/C genotypes (95%CI = 3.70-21.88; p < 0.001).

CONCLUSIONS: The mutant allele was more frequent in ALS patients (p < 0.001) and this finding could be associated with ALS risk. This first study from the Brazilian central population was conducted to provide new insight into the pathogenesis of ALS.

PMID:35733060 | DOI:10.1007/s11033-022-07647-z

Health Care Manag Sci. 2022 Jun 23. doi: 10.1007/s10729-022-09604-5. Online ahead of print.

ABSTRACT

Many public health policymaking questions involve data subsets representing application-specific attributes and geographic location. We develop and evaluate standard and tailored techniques for clustering via unsupervised learning (UL) algorithms on such amalgamated (dual-domain) data sets. The aim of the associated algorithms is to identify geographically efficient clusters that also maximize the number of statistically significant differences in disease incidence and demographic variables across top clusters. Two standard UL approaches, k means with k++ initialization (k++) and the standard self-organizing map (SSOM), are considered along with a new, tailored version of the SOM (TSOM). The TSOM algorithm involves optimization of a customized objective function with terms promoting individual geographic cluster cohesion while also maximizing the number of differences across clusters, and two hyper-parameters controlling the relative weighting of geographic and attribute subspaces in a non-Euclidean distance measure within the clustering problem. The performance of these three techniques (k++, SSOM, TSOM) is compared and evaluated in the context of a data set for colorectal cancer incidence in the state of California, at the level of individual counties. Clusters are visualized via chloropleth maps and ordered graphs are also used to illustrate disparities in disease incidence among four identity groups. While all three approaches performed well, the TSOM identified the largest number of disease and demographic disparities while also yielding more geographically efficient top clusters. Techniques presented in this study are relevant to applications including the delivery of health care resources and identifying disparities among identity groups, and to questions involving coordination between county- and state-level policymakers.

PMID:35732967 | DOI:10.1007/s10729-022-09604-5

Eur J Clin Pharmacol. 2022 Jun 22. doi: 10.1007/s00228-022-03356-5. Online ahead of print.

ABSTRACT

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has shown unprecedented impact world-wide since the eruption in late 2019. Importantly, emerging reports suggest an increased risk of thromboembolism development in patients with COVID-19. Meanwhile, it is found that aspirin reduced mortality in critically ill patients with non-COVID-19 acute respiratory distress syndrome. Therefore, a meta-analysis was performed to investigate the effects of aspirin on COVID-19 mortality.

METHODS: A systematic literature search was conducted in 10 electronic databases and 4 registries. Random effects models were used to calculate pooled relative risks (RRs) with 95% confidence intervals (Cis) to estimate the effect of aspirin on COVID-19 mortality. Relevant subgroup analyses and sensitivity analyses were also performed.

RESULTS: The results showed that aspirin use was associated with a reduction in COVID-19 mortality (adjusted RR 0.69; 95% CI 0.50-0.95; P < 0.001). Subgroup analysis found that the low-dose group was associated with a reduced COVID-19 mortality (adjusted RR 0.64; 95% CI 0.48-0.85; P < 0.01). Aspirin use was associated with reduced COVID-19 mortality in Europe and America (crude RR 0.71; 95% CI 0.52-0.98; P = 0.04), and results from cohort studies suggested that aspirin use was a protective factor for COVID-19 mortality (adjusted RR 0.73; 95% CI 0.52-0.99; P = 0.04). Meanwhile, aspirin use was not associated with bleeding risk (crude RR 1.22; 95% CI 0.80-1.87; P = 0.96).

CONCLUSIONS: This meta-analysis found that aspirin use was associated with a reduction in mortality in patients with COVID-19 and not with an increased risk of bleeding.

PMID:35732963 | DOI:10.1007/s00228-022-03356-5

Neurol Sci. 2022 Jun 22. doi: 10.1007/s10072-022-06204-7. Online ahead of print.

ABSTRACT

Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace-Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (N = 55) from healthy control subjects (N = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (N = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (N = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required.

PMID:35732961 | DOI:10.1007/s10072-022-06204-7

Strahlenther Onkol. 2022 Jun 22. doi: 10.1007/s00066-022-01964-9. Online ahead of print.

ABSTRACT

BACKGROUND: The gamma index and dose-volume histogram (DVH)-based patient-specific quality assurance (QA) measures commonly applied in radiotherapy planning are unable to simultaneously deliver detailed locations and magnitudes of discrepancy between isodoses of planned and delivered dose distributions. By exploiting statistical classification performance measures such as sensitivity or specificity, compliance between a planned and delivered isodose may be evaluated locally, both for organs-at-risk (OAR) and the planning target volume (PTV), at any specified isodose level. Thus, a patient-specific QA tool may be developed to supplement those presently available in clinical radiotherapy.

MATERIALS AND METHODS: A method was developed to locally establish and report dose delivery errors in three-dimensional (3D) isodoses of planned (reference) and delivered (evaluated) dose distributions simultaneously as a function the dose level and of spatial location. At any given isodose level, the total volume of delivered dose containing the reference and the evaluated isodoses is locally decomposed into four subregions: true positive-subregions within both reference and evaluated isodoses, true negative-outside of both of these isodoses, false positive-inside the evaluated isodose but not the reference isodose, and false negatives-inside the reference isodose but not the evaluated isodose. Such subregions may be established over the whole volume of delivered dose. This decomposition allows the construction of a confusion matrix and calculation of various indices to quantify the discrepancies between the selected planned and delivered isodose distributions, over the complete range of values of dose delivered. The 3D projection and visualization of the spatial distribution of these discrepancies facilitates the application of the developed method in clinical practice.

RESULTS: Several clinical photon radiotherapy plans were analyzed using the developed method. In some plans at certain isodose levels, dose delivery errors were found at anatomically significant locations. These errors were not otherwise highlighted-neither by gamma analysis nor by DVH-based QA measures. A specially developed 3D projection tool to visualize the spatial distribution of such errors against anatomical features of the patient aids in the proposed analysis of therapy plans.

CONCLUSIONS: The proposed method is able to spatially locate delivery errors at selected isodose levels and may supplement the presently applied gamma analysis and DVH-based QA measures in patient-specific radiotherapy planning.

PMID:35732919 | DOI:10.1007/s00066-022-01964-9