Tag: nevin manimala

Talanta. 2022 Mar 24;244:123396. doi: 10.1016/j.talanta.2022.123396. Online ahead of print.

ABSTRACT

A computational method for the untargeted determination of cycling yeast metabolites using a comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOFMS) dataset is presented. The yeast metabolomic cycle for the diploid yeast strain CEN.PK with a 5 h cycle period relative to the O₂ concentration level is comprehensively examined to determine the metabolites that exhibit cycling. Samples were collected over only two cycles (10 h with a total of 24 time-point sampling intervals at 25 min each) as an experimental constraint. Due to the limited number of cycles expressed in the dataset, a computational method was devised to determine with statistical significance whether or not a given metabolite exhibited a temporal signal pattern that constituted cycling in the context of the 5 h cycle period. The computational method we report compares the experimentally obtained 24 time-point metabolite signal sequences to randomly generated signal sequences coupled with statistically based confidence level LOF metrics to determine whether or not a given metabolite expresses cycling, and if so, what is the phase of the cycling. Initially the GC×GC-TOFMS dataset was analyzed using tile-based Fisher ratio (F-ratio) analysis. Since there were 24 time-point intervals, this constituted 24 sample classes in the F-ratio calculation which produced 672 metabolite hits. Next, application of the computational method determined that there were 210 of the 672 metabolites exhibiting cycling: 55 identified metabolites and 155 unknown metabolites. Furthermore, the 210 cycling metabolites were categorized into four groups, and where applicable, a phase determined: 1 cycle/5 h period (106 metabolites), 2 cycles/5 h period (13 metabolites), spiky pattern (12 metabolites), or multimodal pattern (79 metabolites).

PMID:35354112 | DOI:10.1016/j.talanta.2022.123396

Midwifery. 2022 Mar 20;109:103317. doi: 10.1016/j.midw.2022.103317. Online ahead of print.

ABSTRACT

OBJECTIVES: Worldwide the COVID-19 pandemic has negatively affected the health and psychosocial lives of people. International guidelines recommend special attention to pregnant women during pandemics and national emergencies. This study aimed to report the impact of the COVID-19 pandemic curfew on the psychosocial lives of pregnant women in Jordan.

DESIGN: A cross-sectional study was conducted and included women who were pregnant during the COVID-19 curfew in Jordan, which took place between mid-March and mid-June of 2020.

SETTINGS: A web-based survey that was posted on various social media platforms.

PARTICIPANTS: Women who at the time of the study were 18 years of age or more, were living in Jordan, and were pregnant during the curfew.

MEASUREMENTS AND FINDINGS: Data collected included women’s characteristics, the impact of the curfew on the pregnancy, physical activity, and psychosocial lives and the barriers to seeking healthcare, in addition to pregnancy and delivery details, and changes in nutrition and supplements intake. A total of 877 women responded to the survey. The results showed that 21.1% of the respondents did not receive any antenatal care (ANC) during the curfew. The respondents also reported that the main barriers for seeking ANC included healthcare facilities being closed (85.2%), the need for travel permits (76.8%), financial difficulties (63.9%), and fear of catching the COVID-19 virus (60.1%). Furthermore, 93.3% reported that they had psychological stress, and 29.9% reported that they had at least one form of domestic violence. Statistically significant associations existed between various women’s characteristics, obstetric, psychosocial factors, and the level of psychological stress.

KEY CONCLUSIONS: The COVID-19 pandemic curfew, which was applied in Jordan, resulted in a negative impact on the psychosocial lives of pregnant women. As a result, pregnant women did not receive optimal antenatal care and experienced higher degrees of psychological stress and domestic violence.

IMPLICATIONS FOR PRACTICE: The findings of our study may encourage national healthcare policymakers to ensure the provision of appropriate psychosocial support of pregnant women during large scale emergencies.

PMID:35354100 | DOI:10.1016/j.midw.2022.103317

Ann Epidemiol. 2022 Mar 27:S1047-2797(22)00044-8. doi: 10.1016/j.annepidem.2022.03.010. Online ahead of print.

ABSTRACT

PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies report results of traditional statistical models such as Linear, Logistic, or Cox regressions. In this study, a high-dimensional epidemiological cohort, collected within the Kuopio Ischemic Heart Disease Risk Factor Study (KIHD) in 1984-1989, was used to investigate the predictive ability of models with embedded variable selection.

METHODS: Simple Logistic Regression with seven preselected risk factors was compared to k-Nearest Neighbors, Logistic Lasso Regression, Decision Tree, Random Forest, and Multilayer Perceptron in predicting cardiovascular death for the aged men from KIHD for the long horizon of 30±3 years: 746 predictor variables were available for 2682 men (705 cardiovascular deaths were registered and 1977 men stayed alive). We considered two scenarios of handling competing risks (removing subjects and treating them as non-cases).

RESULTS: The best average AUC on the test sample was 0.8075 (95%CI, 0.8051-0.8099) in scenario 1 and 0.7155 (95%CI, 0.7128-0.7183) in scenario 2 achieved with Logistic Lasso Regression, which was 6.04% and 5.50% higher than the baseline AUC provided by Logistic Regression with manually preselected predictors.

CONCLUSIONS: In both scenarios Logistic Lasso Regression, Random Forest, and Multilayer Perceptron outperformed Simple Logistic Regression.

PMID:35354081 | DOI:10.1016/j.annepidem.2022.03.010

Behav Processes. 2022 Mar 27:104628. doi: 10.1016/j.beproc.2022.104628. Online ahead of print.

ABSTRACT

In this paper, we introduce discrete choice experiments (DCEs) and provide foundational knowledge on the topic. DCEs are one of the most popular methods within econometrics to study the distribution of choices within a population. DCEs are particularly useful when studying the effects of categorical variables on choice. Procedurally, a DCE involves recruiting a large sample of individuals exposed to a set of choice arrays. The factors that are suspected to affect choice are varied systematically across the choice arrays. Most commonly, DCE data are analyzed with a multinomial logit statistical model with a goal of determining the relative utility of each relevant factor. We also discuss DCEs in comparison with behavioral choice models, such as those based on the matching law, and we show an example of a DCE to illustrate how a DCE can be used to understand choice with behavioral, social, and organizational factors.

PMID:35354088 | DOI:10.1016/j.beproc.2022.104628

Cell Rep. 2022 Mar 29;38(13):110576. doi: 10.1016/j.celrep.2022.110576.

ABSTRACT

The functions of the human brain are metabolically expensive and reliant on coupling between cerebral blood flow (CBF) and neural activity, yet how this coupling evolves over development remains unexplored. Here, we examine the relationship between CBF, measured by arterial spin labeling, and the amplitude of low-frequency fluctuations (ALFF) from resting-state magnetic resonance imaging across a sample of 831 children (478 females, aged 8-22 years) from the Philadelphia Neurodevelopmental Cohort. We first use locally weighted regressions on the cortical surface to quantify CBF-ALFF coupling. We relate coupling to age, sex, and executive functioning with generalized additive models and assess network enrichment via spin testing. We demonstrate regionally specific changes in coupling over age and show that variations in coupling are related to biological sex and executive function. Our results highlight the importance of CBF-ALFF coupling throughout development; we discuss its potential as a future target for the study of neuropsychiatric diseases.

PMID:35354053 | DOI:10.1016/j.celrep.2022.110576

West J Emerg Med. 2021 Jul 14;22(4):911-918. doi: 10.5811/westjem.2021.3.50981.

ABSTRACT

INTRODUCTION: Emergency department (ED) patients have higher than average levels of food insecurity. We examined the association between multiple measures of food insecurity and frequent ED use in a random sample of ED patients.

METHODS: We completed survey questionnaires with randomly sampled adult patients from an urban public hospital ED (n = 2,312). We assessed food insecurity using four questions from the United States Department of Agriculture Household Food Security Survey. The primary independent variable was any food insecurity, defined as an affirmative response to any of the four items. Frequent ED use was defined as self-report of ≥4 ED visits in the past year. We examined the relationship between patient food insecurity and frequent ED use using bivariate and multivariable analyses and examined possible mediation by anxiety/depression and overall health status.

RESULTS: One-third (30.9%) of study participants reported frequent ED use, and half (50.8%) reported any food insecurity. Prevalence of food insecurity was higher among frequent vs. non-frequent ED users, 62.8% vs 45.4% (P <0.001). After controlling for potential confounders, food insecurity remained significantly associated with frequent ED use (adjusted odds ratio 1.48, 95% confidence interval, 1.20-1.83). This observed association was partially attenuated when anxiety/depression and overall health status were added to models.

CONCLUSION: The high observed prevalence of food insecurity suggests that efforts to improve care of ED patients should assess and address this need. Further research is needed to assess whether addressing food insecurity may play an important role in efforts to reduce frequent ED use for some patients.

PMID:35354018 | DOI:10.5811/westjem.2021.3.50981

Cell Rep. 2022 Mar 29;38(13):110606. doi: 10.1016/j.celrep.2022.110606.

ABSTRACT

The visual system processes sensory inputs sequentially, perceiving coarse information before fine details. Here we study the neural basis of coarse-to-fine processing and its computational benefits in natural vision. We find that primary visual cortical neurons in awake mice respond to natural scenes in a coarse-to-fine manner, primarily driven by individual neurons rapidly shifting their spatial frequency preference from low to high over a brief response period. This shift transforms the population response in a way that counteracts the statistical regularities of natural scenes, thereby reducing redundancy and generating a more efficient neural representation. The increase in representational efficiency does not occur in either dark-reared or anesthetized mice, which show significantly attenuated coarse-to-fine spatial processing. Collectively, these results illustrate that coarse-to-fine processing is state dependent, develops postnatally via visual experience, and provides a computational advantage by generating more efficient representations of the complex spatial statistics of ethologically relevant natural scenes.

PMID:35354030 | DOI:10.1016/j.celrep.2022.110606

West J Emerg Med. 2021 Jul 15;22(4):937-942. doi: 10.5811/westjem.2021.4.50135.

ABSTRACT

INTRODUCTION: Most emergency medicine (EM) applicants use the internet as a source of information when evaluating residency programs. Previous studies have analyzed the components of residency program websites; however, there is a paucity of information regarding EM program websites. The purpose of our study was to analyze information on EM residency program websites.

METHODS: In April-May 2020, we evaluated 249 United States EM residency program websites for presence or absence of 38 items relevant to EM applicants. Descriptive statistics were performed, including means and standard deviations.

RESULTS: Of the 249 EM websites evaluated, the websites contained a mean of 20 of 38 items (53%). Only 16 programs (6%) contained at least three-quarters of the items of interest, and no programs contained all 38 items. The general categories with the least amount of items were social media use (9%), research (46%), and lifestyle (49%), compared to the other general categories such as application process (58%), resident information (63%), general program information (67%), and facility information (69%). The items provided by programs most often included program description (98%), blocks and rotations (91%), and faculty listing (88%). The items provided least often included housing/neighborhood information (17%) and social media links (19%).

CONCLUSION: Our comprehensive review of EM residency websites in the US revealed the absence of many variables on most programs’ websites. Use of this information to enhance accessibility of desired information stands to benefit both applicants and programs in the increasingly competitive specialty of EM.

PMID:35354009 | DOI:10.5811/westjem.2021.4.50135

West J Emerg Med. 2021 Jul 20;22(4):979-987. doi: 10.5811/westjem.2021.3.50116.

ABSTRACT

INTRODUCTION: Patients with coronavirus disease 2019 (COVID-19) can develop rapidly progressive respiratory failure. Ventilation strategies during the COVID-19 pandemic seek to minimize patient mortality. In this study we examine associations between the availability of emergency department (ED)-initiated high-flow nasal cannula (HFNC) for patients presenting with COVID-19 respiratory distress and outcomes, including rates of endotracheal intubation (ETT), mortality, and hospital length of stay.

METHODS: We performed a retrospective, non-concurrent cohort study of patients with COVID-19 respiratory distress presenting to the ED who required HFNC or ETT in the ED or within 24 hours following ED departure. Comparisons were made between patients presenting before and after the introduction of an ED-HFNC protocol.

RESULTS: Use of HFNC was associated with a reduced rate of ETT in the ED (46.4% vs 26.3%, P <0.001) and decreased the cumulative proportion of patients who required ETT within 24 hours of ED departure (85.7% vs 32.6%, P <0.001) or during their entire hospitalization (89.3% vs 48.4%, P <0.001). Using HFNC was also associated with a trend toward increased survival to hospital discharge; however, this was not statistically significant (50.0% vs 68.4%, P = 0.115). There was no impact on intensive care unit or hospital length of stay. Demographics, comorbidities, and illness severity were similar in both cohorts.

CONCLUSIONS: The institution of an ED-HFNC protocol for patients with COVID-19 respiratory distress was associated with reductions in the rate of ETT. Early initiation of HFNC is a promising strategy for avoiding ETT and improving outcomes in patients with COVID-19.

PMID:35354003 | DOI:10.5811/westjem.2021.3.50116

West J Emerg Med. 2021 Jul 19;22(4):919-930. doi: 10.5811/westjem.2021.3.49770.

ABSTRACT

INTRODUCTION: The role of gender in interprofessional interactions is poorly understood. This mixed-methods study explored perceptions of gender bias in interactions between emergency medicine (EM) residents and nurses.

METHODS: We analyzed qualitative interviews and focus groups with residents and nurses from two hospitals for dominant themes. An electronic survey, developed through an inductive-deductive approach informed by qualitative data, was administered to EM residents and nurses. Quantitative analyses included descriptive statistics and between-group comparisons.

RESULTS: Six nurses and 14 residents participated in interviews and focus groups. Key qualitative themes included gender differences in interprofessional communication, specific examples of, and responses to, gender bias. Female nurses perceived female residents as more approachable and collaborative than male residents, while female residents perceived nurses’ questions as doubting their clinical judgment. A total of 134 individuals (32%) completed the survey. Females more frequently perceived interprofessional gender bias (mean 30.9; 95% confidence interval {CI}, 25.6, 36.2; vs 17.6 [95% CI, 10.3, 24.9). Residents reported witnessing interprofessional gender bias more frequently than nurses (58.7 (95% CI, 48.6, 68.7 vs 23.9 (95% CI, 19.4, 28.4). Residents reported that gender bias affected job satisfaction (P = 0.002), patient care (P = 0.001), wellness (P = 0.003), burnout (P = 0.002), and self-doubt (P = 0.017) more frequently than nurses.

CONCLUSION: Perceived interprofessional gender bias negatively impacts personal wellbeing and workplace satisfaction, particularly among female residents. Key institutional stakeholders including residency, nursing, and hospital leadership should invest the resources necessary to develop and integrate evidence-based strategies to improve interprofessional relationships that will ultimately enhance residency training, work climate, and patient care.

PMID:35353996 | DOI:10.5811/westjem.2021.3.49770