Categories
Nevin Manimala Statistics

Nursing applicants’ reasoning skills and factors related to them: A cross-sectional study

Nurse Educ Today. 2021 Apr 9;101:104890. doi: 10.1016/j.nedt.2021.104890. Online ahead of print.

ABSTRACT

BACKGROUND: The assessment of reasoning skills is recommended in undergraduate nursing student selection. Reasoning skills are crucial for sound decision-making, improving patient safety and are necessary from the very beginning of studies. Nursing applicants’ reasoning skills based on the reasoning process have not been previously measured.

OBJECTIVES: To assess undergraduate nursing applicants’ reasoning skills and factors related to them.

DESIGN: A cross-sectional study.

SETTING AND PARTICIPANTS: Undergraduate nursing applicants (n = 1056, response rate 55.4%), who consented to the study and performed a joint electronic entrance examination to six Finnish Universities of Applied Sciences in spring 2019, participated in the study.

METHODS: The Reasoning Skills (ReSki) test, based on the steps of the reasoning process, was used, comprising three question sections (collecting information, processing information, and identifying the problem and establishing goals). Background variables were collected through a questionnaire and the Positive System Usability Scale (P-SUS). The data were analysed with descriptive statistics, Pearson correlation coefficients and analysis of covariance with Tukey’s test in post-hoc multiple group comparisons.

RESULTS: Applicants’ total reasoning skills mean scores were above the centre of the range of possible scores (2.72/4.5, SD = 0.80). The applicants scored higher in collecting and processing information than in identifying the problem and establishing goals. Standard deviations demonstrated variance between the applicants’ ability. Age, gender, and previous education were statistically significantly related to applicants’ reasoning skills. Previous work experience was statistically significantly related to success only in the step of identifying the problem and establishing goals.

CONCLUSIONS: Nursing applicants’ reasoning skills vary in the student selection phase. Applicants are less able to identify the problem and establish goals than to collect and process information. Vocational education does not necessarily develop adequate reasoning skills and thus prepare students for higher education studies. The results have implications for educational institutions and further research.

PMID:33865188 | DOI:10.1016/j.nedt.2021.104890

Categories
Nevin Manimala Statistics

Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitors

Eur J Cancer. 2021 Apr 14;149:184-192. doi: 10.1016/j.ejca.2021.01.055. Online ahead of print.

ABSTRACT

BACKGROUND: RAS variant-related functional impact on the mitogen-activated protein kinase (MAPK) pathway, and correlation between MAPK activation and MAPK/ERK kinase (MEK) inhibitor responsiveness, is not established.

PATIENTS AND METHODS: Of 1,693 tumours sequenced, 576 harboured a RAS alteration; 62 patients received an MEK inhibitor (MEKi) and had RAS mutations that were functionally characterised. We report that RAS mutants have variable levels of MAPK activity, as measured by a functional cell-based assay that quantified MAPK pathway activation after transfection with a variety of RAS mutations.

RESULTS: Patients with tumours harbouring RAS alterations with high versus low MAPK activity who were treated with an MEKi showed significantly longer median progression-free survival (PFS) (5.0 vs. 2.3 months; p = 0.0034) and overall survival (20.0 vs. 5.0 months; p = 0.0146) and a trend towards higher rates of clinical benefit (stable disease ≥6 months or partial/complete remission) (38% versus 15%; p = 0.095) (p-values as per univariate analysis). PFS remained statistically significant after the multivariate analysis (p = 0.003).

CONCLUSIONS: These results support a correlation between RAS-mutant cancers with greater MAPK signalling and PFS after MEKi treatment.

PMID:33865203 | DOI:10.1016/j.ejca.2021.01.055

Categories
Nevin Manimala Statistics

Mycobacterium tuberculosis-stimulated whole blood culture to detect host biosignatures for tuberculosis treatment response

Tuberculosis (Edinb). 2021 Apr 10;128:102082. doi: 10.1016/j.tube.2021.102082. Online ahead of print.

ABSTRACT

Host markers to monitor the response to tuberculosis (TB) therapy hold some promise. We evaluated the changes in concentration of Mycobacterium tuberculosis (M.tb)-induced soluble biomarkers during early treatment for predicting short- and long-term treatment outcomes. Whole blood samples from 30 cured and 12 relapsed TB patients from diagnosis, week 1, 2, and 4 of treatment were cultured in the presence of live M.tb for seven days and patients followed up for 24 weeks after the end of treatment. 57 markers were measured in unstimulated and antigen-stimulated culture supernatants using Luminex assays. Top performing multi-variable models at diagnosis using unstimulated values predicted outcome at 24 months after treatment completion with a sensitivity of 75.0% (95% CI, 42.8-94.5%) and specificity of 72.4% (95% CI, 52.8-87.3%) in leave-one-out cross validation. Month two treatment responder classification was correctly predicted with a sensitivity of 79.2% (95% CI, 57.8-92.9%) and specificity of 92.3% (95% CI, 64.0-99.8%). This study provides evidence of the early M.tb-specific treatment response in TB patients but shows that the observed unstimulated marker models are not outperformed by stimulated marker models. Performance of unstimulated predictive host marker signatures is promising and requires validation in larger studies.

PMID:33865162 | DOI:10.1016/j.tube.2021.102082

Categories
Nevin Manimala Statistics

Hyperspectral image-based analysis of thermal damage for ex-vivo bovine liver utilizing radiofrequency ablation

Surg Oncol. 2021 Apr 7;38:101564. doi: 10.1016/j.suronc.2021.101564. Online ahead of print.

ABSTRACT

BACKGROUND & OBJECTIVE: Thermal ablation is the predominant methodology to treat liver tumors for segregating patients who are not permitted to have surgical intervention. However, noticing or predicting the size of the thermal strategies is a challenging endeavor. We aim to analyze the effects of ablation district volume following radiofrequency ablation (RFA) of ex-vivo liver exploiting a custom Hyperspectral Imaging (HSI) system.

MATERIALS AND METHODS: RFA was conducted on the ex-vivo bovine liver at focal and peripheral blood vessel sites and observed by Custom HSI system, which has been designed to assess the exactness and proficiency using visible and near-infrared wavelengths region for tissue thermal effect. The experiment comprised up to ten trials with RFA. The experiment was carried out in two stages to assess the percentage of the thermal effect on the investigated sample superficially and for the side penetration effect. Measuring the diffuse reflectance (Ŗd) of the sample to identify the spectral reflectance shift which could differentiate between normal and ablated tissue exploiting the designed cross-correlation algorithm for monitoring of thermal ablation.

RESULTS: Determination of the diffuse reflection (Ŗd) spectral signature responses from normal, thermal effected, and thermal ablation regions of the investigated liver sample. Where the ideal wavelength range at (600-640 nm) could discriminate between these different regions. Then, exploited the converted RGB image of the HS liver tissue after RFA for more validations which shows that the optimum wavelength for differentiation at (530-560 nm and 600-640 nm). Finally, applying statistical analysis to validate our results presenting that wavelength 600 nm had the highest standard deviation (δ) to differentiate between various thermally affected regions regarding the normal tissue and wavelength 640 nm shows the highest (δ) to differentiate between the ablated and normal regions.

CONCLUSION: The designed and implemented medical imaging system incorporated the hyperspectral camera capabilities with the associate cross-correlation algorithm that could successfully distinguish between the ablated and thermally affected regions to assist the surgery during the tumor therapy.

PMID:33865183 | DOI:10.1016/j.suronc.2021.101564

Categories
Nevin Manimala Statistics

Disentangling Cognitive Heterogeneity in Psychotic Spectrum Disorders

Asian J Psychiatr. 2021 Apr 6;60:102651. doi: 10.1016/j.ajp.2021.102651. Online ahead of print.

ABSTRACT

Neuropsychological impairments represent a central feature of psychosis-spectrum disorders. It is characterized by a great both within- and between-subjects variability (i.e. cognitive heterogeneity), which needs to be better disentangled. The present study aimed to describe the distribution of performance on the Brief Assessment of Cognition in Schizophrenia (BACS) by using the Equivalent Scores, in order to balance statistical methodological problems. To do so, cognitive performance groups were branded, identifying the main factors contributing to cognitive heterogeneity. A sample of 583 patients with a diagnosis of Schizophrenia or Psychotic Disorder Not Otherwise Specified was enrolled and assessed for neurocognition and intellectual level. K-means cluster analysis was performed based on BACS Equivalent Scores. Differences among clusters were analyzed throughout Analysis of Variance and Discriminant Function Analysis in order to identify the most significant predictors of cluster membership. For each cognitive task, roughly 40% of patients displayed poor performance, while up to 63% displayed a symbol-coding deficit. K-means cluster analysis depicted three profiles characterized by “near-normal” cognition, widespread impairment, and “borderline” profile. Discriminant analysis selected Verbal IQ and diagnosis as predictors of cluster membership. Our findings support the usefulness of Equivalent Scores and cluster analysis to explain cognitive heterogeneity, and tailor better interventions.

PMID:33865160 | DOI:10.1016/j.ajp.2021.102651

Categories
Nevin Manimala Statistics

Effects of substrate temperature on patterns produced by dried droplets of proteins

Colloids Surf B Biointerfaces. 2021 Apr 14;203:111763. doi: 10.1016/j.colsurfb.2021.111763. Online ahead of print.

ABSTRACT

Rapid diagnosis provides better clinical management of patients, helps control possible outbreaks, and increases survival. The study of deposits produced by the evaporation of droplets is a useful tool in the diagnosis of some health problems. With the aim to improve diagnostic time in clinical practice where we use the evaporation of droplets, we explored the effects of substrate temperature on pattern formation of dried droplets in globular protein solutions. Three deposit groups were observed: “functional” patterns (from 25 to 37 C), “transition” patterns (from 44 to 50 C), and “eye” patterns (from 58 to 63 C). The dried droplets of the first two groups show a ring structure (“coffee-ring”) that confines a great diversity of aggregates such as needle-like structures, tiny blade-shape crystals, highly symmetrical crystallization patterns, and amorphous salt aggregates. In contrast, the “eye” patterns are deposits with a large inner aggregate surrounded by a coffee ring, and they can appear from the evaporation of droplets in protein binary mixtures and blood serum. Interestingly, the unfolding proteins correlates with the formation of “eye” patterns. We measured stain diameter, “coffee-ring” thickness, radial density profile, and entropy computed by GLCM-statistics to quantify the structural differences among deposit groups. We found that “functional” patterns are structurally indistinguishable among them, but they are clearly different from elements of the other deposit groups. An exponential decay function describes pattern formation time as a function of substrate temperature, which is independent from protein concentration. Patterns formation at 32 C takes place up to 63% less time and preserves the structural characteristics of dried droplets in proteins formed at room temperature. Therefore, we argue that droplet evaporation at this substrate temperature could be an excellent candidate to make a more efficient diagnosis based on droplet evaporation of biofluids.

PMID:33865091 | DOI:10.1016/j.colsurfb.2021.111763

Categories
Nevin Manimala Statistics

Prediction of eye, hair and skin colour in Latin Americans

Forensic Sci Int Genet. 2021 Apr 6;53:102517. doi: 10.1016/j.fsigen.2021.102517. Online ahead of print.

ABSTRACT

Here we evaluate the accuracy of prediction for eye, hair and skin pigmentation in a dataset of > 6500 individuals from Mexico, Colombia, Peru, Chile and Brazil (including genome-wide SNP data and quantitative/categorical pigmentation phenotypes – the CANDELA dataset CAN). We evaluated accuracy in relation to different analytical methods and various phenotypic predictors. As expected from statistical principles, we observe that quantitative traits are more sensitive to changes in the prediction models than categorical traits. We find that Random Forest or Linear Regression are generally the best performing methods. We also compare the prediction accuracy of SNP sets defined in the CAN dataset (including 56, 101 and 120 SNPs for eye, hair and skin colour prediction, respectively) to the well-established HIrisPlex-S SNP set (including 6, 22 and 36 SNPs for eye, hair and skin colour prediction respectively). When training prediction models on the CAN data, we observe remarkably similar performances for HIrisPlex-S and the larger CAN SNP sets for the prediction of hair (categorical) and eye (both categorical and quantitative), while the CAN sets outperform HIrisPlex-S for quantitative, but not for categorical skin pigmentation prediction. The performance of HIrisPlex-S, when models are trained in a world-wide sample (although consisting of 80% Europeans, https://hirisplex.erasmusmc.nl), is lower relative to training in the CAN data (particularly for hair and skin colour). Altogether, our observations are consistent with common variation of eye and hair colour having a relatively simple genetic architecture, which is well captured by HIrisPlex-S, even in admixed Latin Americans (with partial European ancestry). By contrast, since skin pigmentation is a more polygenic trait, accuracy is more sensitive to prediction SNP set size, although here this effect was only apparent for a quantitative measure of skin pigmentation. Our results support the use of HIrisPlex-S in the prediction of categorical pigmentation traits for forensic purposes in Latin America, while illustrating the impact of training datasets on its accuracy.

PMID:33865096 | DOI:10.1016/j.fsigen.2021.102517

Categories
Nevin Manimala Statistics

Analysis of volatiles organic compounds in Venice lagoon water reveals COVID 19 lockdown impact on microplastics and mass tourism related pollutants

Sci Total Environ. 2021 Apr 7;783:146951. doi: 10.1016/j.scitotenv.2021.146951. Online ahead of print.

ABSTRACT

The Lagoon of Venice is a continuously evolving ecosystem that rapidly responds to anthropic stressors. The UNESCO World Heritage site “Venice and its Lagoon”, is one of the top tourist destinations in the world. Mass tourism increases marine litter, water traffic emissions, solid waste, and sewage release. Plastic marine litter is not only a major aesthetic problem diminishing tourists experience of Venice, it also leaches contaminants into the seawater. Since there is a dearth in the literature regarding microplastic leachable compounds and overtourism related pollutants, the project studied the Head Space-Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS) molecular fingerprint of volatile lagoon water pollutants, to gain insight into the extent of this phenomenon in August 2019. The chromatographic analyses enabled the identification of 40 analytes related to the presence of polymers in seawater, water traffic, and tourists habits. In Italy, on the 10th March 2020, the lockdown restrictions were enforced to control the spread of the SARS-CoV-2 infection; the ordinary urban water traffic around Venice came to a halt, and the ever-growing presence of tourists suddenly ceased. This situation provided a unique opportunity to analyze the environmental effects of restrictions on VOCs load in the Lagoon. 17 contaminants became not detectable after the lockdown period. The statistical analysis indicated that the amounts of many other contaminants significantly dropped. The presence of 9 analytes was not statistically influenced by the lockdown restrictions, probably because of their stronger persistence or continuous input in the environment from diverse sources. Results signify a sharp and encouraging pollution decrease at the molecular level, concomitant with the anthropogenic stress release, even if it is not possible to attribute quantitatively the VOCs load variations to specific sources (e.g., tourists’ habits, urban water traffic, plastic pollution).

PMID:33865119 | DOI:10.1016/j.scitotenv.2021.146951

Categories
Nevin Manimala Statistics

COgnitive enhancement and consumption of psychoactive Substances among Youth Students (COSYS): a cross-sectional study in France

Public Health. 2021 Apr 14;194:75-78. doi: 10.1016/j.puhe.2021.02.036. Online ahead of print.

ABSTRACT

OBJECTIVES: This descriptive and analytical study investigated the consumption rates of psychoactive substances among individuals aged 18-25 years in France. More specifically, it enabled assessment of the extent of the neuroenhancement (NE) phenomenon among students in France (including study of the misuse of psychostimulant medicines).

STUDY DESIGN: COgnitive enhancement and consumption of psychoactive Substances among Youth Students (COSYS) is a cross-sectional survey of students in France.

METHODS: Between January and June 2017, a questionnaire was mailed to students. All questionnaires were completed anonymously and included questions regarding the use of all kind of psychoactive substances, motivations for use and socio-economic situations. Statistics for all variables and the results of a multiple correspondence analysis (MCA) are presented.

RESULTS: This study recorded 46,203 respondents, mostly in universities (>60%), mostly women (63.4%), with an average age of 21.4 years. In terms of substance use, medications were cited in the third position after alcohol and tobacco by women (22.48%) and in the fourth position after alcohol, tobacco and cannabis by men (15.14%). Among medications, opiates were the most frequently used, followed by benzodiazepines. Students who declared a non-medical use (NMU) of drugs obtained these through various ways (e.g. family medicine cabinet, a friend, a dealer or via the Internet), or by increasing their recommended doses (e.g. codeine). In total, 18.6% of students consumed psychoactive substances for ‘stress management’ and 14.1% for ‘sleep management’. Results indicated that NE in students is a problem, with 18.6% of students in the COSYS survey confirming the use of psychoactive substances for this reason. There was a very low prevalence for psychostimulant medications (0.57% of men), mostly NMU (67%). MCA yielded three different profiles (doping candidate, experimenter and psychiatric profile) of psychostimulant users, which complicates the implementation of prevention programmes.

CONCLUSIONS: It is evident that NMU and ‘conventional’ use of medications are highly prevalent in French students, especially females. NMU is associated with substance use disorders, psychopathology and suicidality. Social norms and social media increase NMU of psychoactive substances, but also provide a potential platform for anti-NMU campaigns.

CLINICAL TRIAL REGISTRATION NUMBER: NCT02954679.

PMID:33865150 | DOI:10.1016/j.puhe.2021.02.036

Categories
Nevin Manimala Statistics

The effect of warm salt water foot bath on the management of chemotherapy-induced fatigue

Eur J Oncol Nurs. 2021 Apr 3;52:101954. doi: 10.1016/j.ejon.2021.101954. Online ahead of print.

ABSTRACT

PURPOSE: Several studies have shown that the warm water bath can be a beneficial approach in the management of fatigue. This experimental study was conducted to evaluate the effect of warm salt water foot bath in the management of chemotherapy-induced fatigue.

METHODS: This randomized controlled trial was perfomed between November 2017-February 2018. Seventy five patients who experienced moderate or higher level chemotherapy related fatigue were randomly assigned to the intervention or control group. A training booklet about chemotherapy-induced fatigue was given to all patients. In addition, the experimental group performed 20 min warm salt water footbath for a week. The primary outcome was the change in fatigue level over 7 days after chemotherapy. The secondary outcome was the difference in physical, affective, emotional, and cognitive fatigue scores of patients.

RESULTS: The level of fatigue was grade 2 and grade 3 for 65.3% and 33.3% of patients, respectively. There was no statistically significant difference between groups regarding the mean of total fatigue score before and after bath (p > 0.05). However, the amount of decrease observed in the experimental group was found to be statistically significantly higher than the control group (p = 0.012; p < 0.05). In addition; the score in behavioral/severity, sensory, affective and cognitive dimensions related to fatigue decreased in the experimental group but did not decrease in the control group.

CONCLUSION: This study shown that warm salt water footbath can be an effective approach in enhancing fatigue related quality of life cancer patients. More studies should be conducted to assess the effectiveness of this intervention.

PMID:33864994 | DOI:10.1016/j.ejon.2021.101954