Can glucose facilitate fear exposure? Randomized, placebo-controlled trials on the effects of glucose administration on fear extinction processes.

Previous studies showed that glucose has beneficial effects on memory function and can enhance contextual fear learning. To derive potential therapeutic interventions, further research is needed regarding the effects of glucose on fear extinction. In two experimental studies with healthy participants (Study 1: N = 68, 39 females; Study 2: N = 89, 67 females), we investigated the effects of glucose on fear extinction learning and its consolidation. Participants completed a differential fear conditioning paradigm consisting of acquisition, extinction, and return of fear tests: reinstatement, and extinction recall. US-expectancy ratings, skin conductance response (SCR), and fear potentiated startle (FPS) were collected. Participants were pseudorandomized and double-blinded to one of two groups: They received either a drink containing glucose or saccharine 20 min before (Study 1) or immediately after extinction (Study 2). The glucose group showed a significantly stronger decrease in differential FPS during extinction (Study 1) and extinction recall (Study 2). Additionally, the glucose group showed a significantly lower contextual anxiety at test of reinstatement (Study 2). Our findings provide first evidence that glucose supports the process of fear extinction, and in particular the consolidation of fear extinction memory, and thus has potential as a beneficial adjuvant to extinction-based treatments. Registered through the German Clinical Trials Registry (https://www.bfarm.de/EN/BfArM/Tasks/German-Clinical-Trials-Register/_node.html; Study 1: DRKS00010550; Study 2: DRKS00018933).

Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction.

This paper presents a comprehensive exploration of machine learning algorithms (MLAs) and feature selection techniques for accurate heart disease prediction (HDP) in modern healthcare. By focusing on diverse datasets encompassing various challenges, the research sheds light on optimal strategies for early detection. MLAs such as Decision Trees (DT), Random Forests (RF), Support Vector Machines (SVM), Gaussian Naive Bayes (NB), and others were studied, with precision and recall metrics emphasized for robust predictions. Our study addresses challenges in real-world data through data cleaning and one-hot encoding, enhancing the integrity of our predictive models. Feature extraction techniques-Recursive Feature Extraction (RFE), Principal Component Analysis (PCA), and univariate feature selection-play a crucial role in identifying relevant features and reducing data dimensionality. Our findings showcase the impact of these techniques on improving prediction accuracy. Optimized models for each dataset have been achieved through grid search hyperparameter tuning, with configurations meticulously outlined. Notably, a remarkable 99.12 % accuracy was achieved on the first Kaggle dataset, showcasing the potential for accurate HDP. Model robustness across diverse datasets was highlighted, with caution against overfitting. The study emphasizes the need for validation of unseen data and encourages ongoing research for generalizability. Serving as a practical guide, this research aids researchers and practitioners in HDP model development, influencing clinical decisions and healthcare resource allocation. By providing insights into effective algorithms and techniques, the paper contributes to reducing heart disease-related morbidity and mortality, supporting the healthcare community's ongoing efforts.

Accuracy of energy and nutrient intake estimation versus observed intake using four technology-assisted dietary assessment methods: a randomized crossover feeding study.

BACKGROUND: Technology-assisted 24-hour dietary recalls (24HR) have been widely adopted in population nutrition surveillance. Evaluations of 24HR inform improvements but direct comparisons of 24HR methods for accuracy in reference to a measure of true intake are rarely undertaken in a single study population. OBJECTIVE: To compare the accuracy of energy and nutrient intake estimation of four technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner. METHODS: In a controlled feeding study with a crossover design, 152 participants (55% women; mean age 32y (SD 11); mean BMI 26 kg/m2 (SD 5)) were randomized to one of three separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day (Automated Self-Administered Dietary Assessment Tool-Australia© (ASA24); Intake24-Australia©; mobile Food Record™ - Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)). When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record™ app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models. RESULTS: The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI 0.6, 10.2) using ASA24, 1.7% (95% CI -2.9, 6.3) using Intake24, 1.3% (95% CI -1.1, 3.8) using mFR-TA, and 15.0% (95% CI 11.6, 18.3) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P<0.01), apart from Intake 24 (P=0.1). Differential accuracy in nutrient estimation was present among the methods. CONCLUSIONS: Under controlled conditions, Intake24, ASA24, and mFR-TA estimated average energy and nutrient intakes with reasonable validity, but intake distributions were estimated accurately by Intake24 only (energy and protein). This study may inform considerations regarding instruments of choice in future population surveillance. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry Number ACTRN12621000209897; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381165&isReview=true.

The benefits of item-method-directed forgetting.

The present experiments examined the encoding and retrieval conditions in an item-method-directed forget (IMDF) study that included a novel control condition. In the IMDF condition, half of the items were followed by a remember cue whereas the other half were followed by a forget cue. In a remember-both control condition, half of the items were followed by an item identifier called Set A; whereas the other half of the items were followed by a Set B identifier. At the test, items were recalled as a function of the instruction cue or the set identifier. Across two experiments, directed-forgetting effects and associated benefits were found. Further, results from both studies revealed a new way to demonstrate the benefit of IMDF - directed-forgetting participants made more correct source attributions compared to remember-both participants. These benefits were obtained using a within-subjects IMDF paradigm (Experiment 1) as well as a between-subjects IMDF paradigm (Experiment 2). These patterns of results are consistent with several current theories of item-method-directed forgetting.

Undergoing Lung Surgery (PSA-Lung) was appropriate for symptom assessment after discharge.

PURPOSE: To examine whether a 7-day or 24-h recall period of Perioperative Symptom Assessment for Patients Undergoing Lung Surgery (PSA-Lung) was appropriate for symptom assessment after discharge. METHODS: A total of 377 patients were recruited in a cohort study of patients who underwent lung surgery. We measured patient symptoms daily and weekly using the two recall period versions of the PSA-Lung scale, respectively. The psychometric properties of both versions were calculated. Spearman rank correlation coefficients and kappa (k) coefficients were used to measure the association between items score measured by the two version scales each week. Cohen's d effect size and mixed linear model were used to measure responsiveness to change over time. RESULTS: Spearman rank correlation coefficients between the symptom scores generated by the 7-day and 24-h versions (range 0.48-0.77; all P < 0.05). The correlations increased in patients in stable condition (weekly symptom change < 2). Cronbach's α coefficients for both ratings were > 0.87 and both had good test-retest reliability. The longitudinal analysis and Cohen's d effect sizes showed that both ratings had good ability to detect changes in all items. CONCLUSION: The 7-day retrospective scale was as effective as the 24-h retrospective scale in terms of psychometric performance. In the stage where the patient's symptoms change rapidly, it is recommended to use the 24-h retrospective scale for symptom monitoring. On the contrary, in a stable state, it can be considered to use the 7-day retrospective scale for monitoring to reduce the patient's burden.

Dignity-related distress and recall among alert, non-delirious critically ill patients.

OBJECTIVES: Critical illness is associated with multiple undesired impacts, including residual psychological distress, frequently associated with recollections of critical illness. Dignity-related distress is highly prevalent among the one-fifth of critically ill patients who are alert. The distress may be associated with unpleasant recollections of care. We examined whether patients at risk for dignity-related distress had recall of their reported distress approximately 1 week after assessment and whether this recall differed from another high-risk group, specifically patients undergoing dialysis for end-stage renal disease. METHODS: The prospective cohort study included patients with critical illness and patients with end-stage renal disease enrolled from intensive care units (ICUs) and dialysis units at 1 academic center. Distress was assessed using the Patient Dignity Inventory (PDI). Participants received in-patient or telephonic follow-up 7-10 days after the initial interaction. Follow-up encounters focused on recollection of key aspects of the interpersonal interaction as well as the content of the PDI. RESULTS: A total of 32 critically ill patients participated in initial assessment and follow-up. In total, 26 dialysis patients participated in both phases. The groups' demographics differed. Fifty percent (n = 16) of critically ill patients and 58% (n = 15) of dialysis patients reported a mean score per item of >1.6, corresponding with severe distress on the PDI. Among the ICU patients, the 95% upper 2-sided confidence interval for the median level of recall was commensurate with the participant having had no recall of the initial interview beyond remembering that there was an interview. The end-stage renal disease group did not demonstrate significantly better recall. SIGNIFICANCE OF RESULTS: Dignity-related distress is high in both critically ill patients and those with end-stage renal disease; however, recollection of assessment is poor in both groups. Any intervention designed to mitigate dignity-related distress will need either to be immediately deployable or not to be reliant upon recollection for impact.

The Functional Neuroimaging of Autobiographical Memory for Happy Events: A Coordinate-Based Meta-Analysis.

Neuroimaging studies using autobiographical recall methods investigated the neural correlates of happy autobiographical memories (AMs). The scope of the present activation likelihood estimation (ALE) meta-analysis was to quantitatively analyze neuroimaging studies of happy AMs conducted with autobiographical recall paradigms. A total of 17 studies (12 fMRI; 5 PET) on healthy individuals were included in this meta-analysis. During recall of happy life events, consistent activation foci were found in the frontal gyrus, the cingulate cortex, the basal ganglia, the parahippocampus/hippocampus, the hypothalamus, and the thalamus. The result of this quantitative coordinate-based ALE meta-analysis provides an objective view of brain responses associated with AM recollection of happy events, thus identifying brain areas consistently activated across studies. This extended brain network included frontal and limbic regions involved in remembering emotionally relevant positive events. The frontal gyrus and the cingulate cortex may be responsible for cognitive appraisal processes during recollection of happy AMs, while the subthalamic nucleus and globus pallidus may be involved in pleasure reactions associated with recollection of happy life events. These findings shed light on the neural network involved in recalling positive AMs in healthy individuals, opening further avenues for future research in clinical populations with mood disorders.

Associations of cognitive impairment and longitudinal change in cognitive function with the risk of fatal stroke in middle-aged to older Chinese.

It is unclear whether cognitive impairment and the longitudinal change in cognition are associated with the risk of fatal stroke in aging populations. Based on the Guangzhou Biobank Cohort Study data a sum of 26,064 participants at baseline and all deaths caused by stroke in a mean follow-up of 14.3 years (standard deviation = 3.2) were included, and the Cox proportional hazard regression was used in this prospective cohort study. Cognitive impairment was respectively associated with an increased risk of fatal strokes (the adjusted hazard ratio (aHR) = 1.38, 95% CI1.16-1.64, P < 0.001) and fatal ischaemic stroke (aHR = 1.39, 95% CI1.10-1.77, P = 0.007), compared to median cognition; the Delayed Word Recall Test (DWRT) score was associated with a decreasing trend for the risk of fatal strokes in a restricted cubic spline analysis; the longitudinal DWRT score decline was associated with the increased risks of fatal strokes (aHR = 1.42, 95% CI 1.11-1.82, P = 0.006) and fatal haemorrhagic stroke (aHR = 1.75, 95% CI 1.10-2.78, P = 0.02), compared to the longitudinal DWRT score rise. In summary, cognitive impairment and the longitudinal decline in DWRT scores were associated with the increased risk of fatal strokes; early screening of cognitive function should be conducive to predictive intervention in fatal stroke among relatively healthy middle-aged to older populations.

Association between dietary inflammation index and cataract: a population-based study from NHANES 2005-2008.

Importance: Various studies have widely explored the association between index of dietary inflammation (DII) and occurrence of diseases. Accumulating evidence have revealed that a lower DII seems to be protective against a variety of diseases. Nevertheless, the association between DII and age-related cataract remains unclear. Objective: To investigate the correlation between DII and age-related cataract in a representative sample of the American population. Design setting and participants: This cross-sectional population-based study comprised 6,395 participants from the National Health and Nutrition Examination Survey (NHANES) conducted in cycles from 2005 to 2008. DII was calculated using dietary recall information, with higher scores indicating greater inflammatory potential of the diet. Age-related cataract was evaluated using cataract surgery as a surrogate measure. Covariates included sociodemographic factors, lifestyle factors, physical measures, and comorbidities. Logistic regression models were employed to assess the association between DII and cataract. The presence of a non-linear relationship was examined using restricted cubic spline analysis. Subgroup analysis was conducted to explore potential interaction effects. Data analysis was performed from September 1 to December 30, 2022. Main outcomes and measures: Age-related cataract assessed through cataract surgery information obtained from a self-reported questionnaire. Results: A total of 6,395 participants were included, with a mean (standard deviation, SD) age of 48.7 (15.3) years. Of these, 3,115 (48.7%) were male, 3,333 (52.1%) were non-Hispanic white, and 683 (10.7%) had cataract. The mean (SD) DII was -4.78 (1.74). After adjusting for all included covariates, DII showed a positive association with cataract, both as a continuous variable (odds ratio (OR): 1.054, 95% confidence interval (CI): 1.007-1.103, p = 0.023) and in quartiles, with the highest quartile compared to the lowest (OR: 1.555, 95% CI: 1.233-1.967, p < 0.001). Restricted cubic spline analysis revealed no evidence of a non-linear relationship (p for non-linearity 0.085). Subgroup analysis indicated no interaction effects among the studied covariates. Conclusions and relevance: These findings suggest that a pro-inflammatory diet serves as a risk factor for the occurrence of cataracts.

A novel nonparametric time-dependent precision-recall curve estimator for right-censored survival data.

In order to assess prognostic risk for individuals in precision health research, risk prediction models are increasingly used, in which statistical models are used to estimate the risk of future outcomes based on clinical and nonclinical characteristics. The predictive accuracy of a risk score must be assessed before it can be used in routine clinical decision making, where the receiver operator characteristic curves, precision-recall curves, and their corresponding area under the curves are commonly used metrics to evaluate the discriminatory ability of a continuous risk score. Among these the precision-recall curves have been shown to be more informative when dealing with unbalanced biomarker distribution between classes, which is common in rare event, even though except one, all existing methods are proposed for classic uncensored data. This paper is therefore to propose a novel nonparametric estimation approach for the time-dependent precision-recall curve and its associated area under the curve for right-censored data. A simulation is conducted to show the better finite sample property of the proposed estimator over the existing method and a real-world data from primary biliary cirrhosis trial is used to demonstrate the practical applicability of the proposed estimator.

Age and sex differences in the genetic architecture of measures of subjective health: Relationships with physical health, depressive symptoms, and episodic memory.

OBJECTIVES: Subjective health (SH) is not just an indicator of physical health, but also reflects active cognitive processing of information about one's own health and has been associated with emotional health measures, such as neuroticism and depression. Behavior genetic approaches investigate the genetic architecture of SH, i.e., genetic and environmental influences on individual differences in SH and associations with potential components such as physical, cognitive, and emotional health. Previous twin analyses have been limited by sex, sample size, age range, and focus on single covariates. METHODS: The current analysis used data from 24,173 adults ranging in age from 40-90 years from the international Interplay of Genes and Environment Across Multiple Studies (IGEMS) consortium to investigate the genetic architecture of three measures of SH: self-rated health, health compared to others, and impact of health on activities. Independent pathways model of SH included physical health, depressive symptoms, and episodic memory, with age, sex, and country included as covariates. RESULTS: Most or all of the genetic variance for SH measures was shared with physical health, depressive symptoms, and episodic memory. Genetic architecture of SH differed across measures, age groups (40-65, 66-90), and sexes. Age comparisons indicated stronger correlations with all 3 covariates in older adults, often resulting from greater shared genetic variance. DISCUSSION: The predictive value of SH has been amply demonstrated. The higher genetic contributions to associations between SH and its components in older adults support the increasing conceptualization with age of SH as an intuitive summation of one's vital reserve.

Memory enhancement for emotional words is attributed to both valence and arousal.

We do not memorize items in our surroundings with equal priority. Previous literature has widely shown that emotional stimuli are better remembered than neutral stimuli. However, given emotional stimuli and neutral stimuli often differ in both valence and arousal dimensions, it remains unclear whether the enhancement effects can be attributed to valence, or just to arousal. Importantly, most prior studies relied on a relatively small number of stimuli and non-emotional factors such as word length, imageability and other confounds were hard to control. To address these challenges, we analyzed multiple large databases of recognition memory and free recall tasks from previous research by items with many lexical and semantic covariates included, examining the effects of valence or arousal when controlling for each other. Our results showed a U-shaped relationship between valence and memory performance for both recognition and free recall, and a linear relationship between arousal and memory performance for both tasks. These findings showed that the memory enhancement effects can be attributed to both valence and arousal. We demonstrated these effects with generalizability across many stimuli and controlled for non-emotional factors. Together, these findings disentangle the contribution of valence and arousal in emotional memory enhancement effects and provide insights for current major theories of emotional memory.

Radiation-Induced Myonecrosis: A Case Report of a Cervical Cancer Patient With a History of Systemic Lupus Erythematosus.

Radiation-induced myonecrosis is a rare but serious complication of radiation therapy. We present a case of a 49-year-old woman with systemic lupus erythematosus who developed radiation-induced myonecrosis after concurrent chemoradiation for cervical cancer. She underwent external-beam radiation therapy, weekly cisplatin chemotherapy (40 mg/m2), and intracavitary brachytherapy. One month later, she received one cycle of nedaplatin (80 mg/m2) and irinotecan (60 mg/m2). Two months after treatment, she experienced pain in the left inguinal region. An MRI revealed a mass in the left obturator externus muscle and right pectineus muscle suggestive of myonecrosis. A biopsy confirmed the diagnosis. She received hyperbaric oxygen therapy, and her symptoms improved. The masses resolved completely.

Impact of the 2022 national formula shortage on clinical decision-making of healthcare providers in switching amino acid formulas for infants with cow's milk protein allergy: a survey-based study.

Background: In 2022, the United States experienced a national shortage of infant formula due to a global supply chain crisis and a large-scale domestic formula recall. The existing literature on healthcare providers' (HCPs) clinical decision-making during formula shortages is limited. This study aims to analyze the factors influencing pediatric HCP clinical decision-making when switching between amino acid formulas (AAF) for managing cow's milk protein allergy (CMPA) in infants under 24 months of age during an unprecedented national formula shortage. Methods: The study included pediatric HCPs with experience managing CMPA in infants and toddlers under 24 months during the formula shortage from January 2022 to November 2022. A de-identified survey comprising 26 questions examining driving factors used in clinical decision-making was administered to pediatric HCPs using a real-time mobile data collection tool. Results: Among the surveyed pediatric HCPs (n = 75), the factors most frequently considered as "extremely important" when switching to another AAF included safety (85%), tolerability (73%), and efficacy (83%). No statistically significant differences were found in HCP ratings among the listed examined factors of the four AAFs. The availability of specific formulas was the only factor that exhibited a statistically significant difference in perceived performance among pediatric HCPs when comparing the four AAFs (p < 0.05). Discussion: This study elucidates the crucial aspects that influenced pediatric HCPs' selection of AAFs for CMPA management during the 2022 formula shortage. The findings highlight the significance of safety, tolerability, efficacy, and availability in the pediatric HCP decision-making processes.

Genetic risk accentuates dietary effects on hepatic steatosis, inflammation and fibrosis in a population-based cohort.

BACKGROUND & AIMS: Steatotic liver disease (SLD), characterized by elevated liver fat content (LFC), is influenced by genetics and diet. However, whether diet has differential effect based on genetic risk is not well-characterized. We aimed to determine how genetic factors interact with diet to affect SLD in a large national biobank. METHODS: We included UK Biobank participants with dietary intake measured by 24-hour recall and genotyping. The primary predictors were dietary pattern, PNPLA3-rs738409-G, TM6SF2-rs58542926-T, a 16-variant hepatic steatosis polygenic risk score (PRS), and gene-environment interactions. The primary outcome was LFC, and secondary outcomes were iron-controlled T1 time (cT1, a measure of liver inflammation and fibrosis) and liver-related events/mortality. RESULTS: 21,619 participants met inclusion criteria. In non-interaction models, Mediterranean diet and intake of fruit/vegetables/legumes and fish associated with lower LFC, while higher red/processed meat intake and all genetic predictors associated with higher LFC. In interaction models, all genetic predictors interacted with Mediterranean diet and fruit/vegetable/legume intake; the steatosis PRS interacted with fish intake; and TM6SF2 genotype interacted with red/processed meat intake, to affect LFC. Dietary effects on LFC were up to 3.8 times as high in PNPLA3-rs738409-GG vs. -CC individuals, and 1.4-3.0 times as high in the top vs. bottom quartile of the steatosis PRS. Gene-diet interactions were stronger in participants with vs. without overweight. The steatosis PRS interacted with Mediterranean diet and fruit/vegetable/legume intake to affect cT1 and most dietary and genetic predictors associated with risk of liver-related events or mortality by age 70. CONCLUSIONS: Effects of diet on LFC and cT1 were markedly accentuated in patients at increased genetic risk for SLD, implying dietary interventions may be more impactful in these populations.

Comparative evaluation of open book and conventional assessment methods in medical undergraduate students.

Medical science is a dynamic field of knowledge that is constantly broadening with upcoming clinical research and analysis. Traditional medical education has been focused on textbook-based recall assessments-closed book assessment (CBA). However, the availability of newer technologies has made the accessibility to encyclopedic knowledge expeditious, which demands for a new approach for medical education. As medical professionals, the purpose of learning should be higher cognitive skills such as interpretation and synthesis. So, analyzing students' ability to comprehend the concepts and learning to apply it in a realistic context than merely recalling the facts has come into attention. In this study, we aimed to evaluate and compare the performance of 250 first-year MBBS students at Maulana Azad Medical College, New Delhi, India, between closed book and open book method for biochemistry. Students were divided into two groups, Group A and Group B, based on their average monthly internal assessment marks. CBA was followed by open book assessment (OBA) 1 week apart with similar questionnaire pattern and allotted time. A significant difference in average marks obtained by the two groups was observed in CBA. Group A scored better in CBA, but performance was comparable with Group B in OBA. OBA and CBA can contribute to an assessment program in part because of their complementary pros and cons, and OBA should not be thought of as an alternative to CBA, but their value may be in expanding beyond what is measured by CBA.

Systematic review and meta-analysis of prognostic characteristics for breast cancers in populations with digital versus film mammography indicate the transition may have increased both early detection and overdiagnosis.

OBJECTIVE: Film mammography has replaced digital mammography in breast screening programs globally. This led to a small increase in the rate of detection, but whether the detection of clinically important cancers increased is uncertain. We aimed to assess the impact on tumour characteristics of screen-detected and interval breast cancers. STUDY DESIGN AND SETTING: We searched seven databases from inception to 08 October 2023 for publications comparing film and digital mammography within the same population of asymptomatic women at population (average) risk of breast cancer. We recorded reported tumour characteristics and assessed risk of bias using the ROBINS-I tool. We synthesized results using meta-analyses of random effects. RESULTS: Eighteen studies were included in the analysis from 8 countries, including 11,592,225 screening examinations (8,117,781 film; 3,474,444 digital). There were no differences in tumour size, morphology, grade, node status, receptor status, or stage in the pooled differences for screen-detected and interval invasive cancer tumour characteristics. There were statistically significant increases in screen-detected DCIS across all grades: 0.05 (0.00-0.11), 0.14 (0.05-0.22), and 0.19 (0.05-0.33) per 1,000 screens for low, intermediate, and high grade DCIS respectively. There were similar (non-statistically significant) increases in screen-detected invasive cancer across all grades. CONCLUSION: The increased detection of all grades of DCIS and invasive cancer may indicate both increased early detection of more aggressive disease and increased overdiagnosis. FUNDING: Australian National Health and Medical Research Council and the National Breast Cancer Foundation. REGISTRATION: PROSPERO 2017:CRD42017070601.

Nutritional Assessment of Children and Adolescents with Atypical Anorexia Nervosa: A Preliminary Longitudinal Investigation Using the 24-h Dietary Recall.

BACKGROUND: Atypical Anorexia Nervosa (AAN) is a Feeding and Eating Disorder characterized by fear of gaining weight and body image disturbance, in the absence of significantly low body weight. AAN may present specific clinical and psychopathological features. Nonetheless, the literature lacks data concerning the nutritional characteristics and body composition of children and adolescents with AAN and their variation over time. METHODS: Case series, including 17 children and adolescents with AAN. All the patients were assessed at the first evaluation (T0) with a standardized dietary assessment (24 h Dietary Recall, 24 hDR). Nutritional data were compared with European dietary reference values (DRVs). Body composition parameters (weight, fat mass, fat-free mass) and their changes over time at two (T1) and six (T2) months were collected as well, using a Bioelectrical impedance analysis (Wunder WBA300 with four poles and foot contact; impedance frequency 50 kHz 500 µA; impedance measurement range 200~1000 Ω/0.1 Ω). RESULTS: The included individuals presented eating behaviors oriented towards significantly low daily energy intake (p < 0.001) compared with DRVs set by the European Food Safety Authority (EFSA) (with low carbohydrates and fats), and increased proteins (p < 0.001). A longer latency before observation (illness duration before observation) correlated with a negative change in weight. Body composition parameters were described, with no significant changes across the six-month outpatient assessment. DISCUSSION: This is the first research to systematically assess the body composition and nutritional features of a group of individuals with AAN in the developmental age. Further research should assess the effect of targeted treatment interventions on body composition and nutritional features.

Machine Learning to Identify Critical Biomarker Profiles in New SARS-CoV-2 Variants.

The global dissemination of SARS-CoV-2 resulted in the emergence of several variants, including Alpha, Alpha + E484K, Beta, and Omicron. Our research integrated the study of eukaryotic translation factors and fundamental components in general protein synthesis with the analysis of SARS-CoV-2 variants and vaccination status. Utilizing statistical methods, we successfully differentiated between variants in infected individuals and, to a lesser extent, between vaccinated and non-vaccinated infected individuals, relying on the expression profiles of translation factors. Additionally, our investigation identified common causal relationships among the translation factors, shedding light on the interplay between SARS-CoV-2 variants and the host's translation machinery.

Perceptions and use of evidence-based revision methods among undergraduate medical students.

Objective: To assess awareness, perceptions and use related to evidence-based revision methods by undergraduate medical students. METHODS: The descriptive cross-sectional study was conducted in three medical colleges of Rawalpindi, Islamabad, Pakistan, from December 01, 2019, to January 31, 2020, after approval from the ethics review committee of Army Medical College, Rawalpindi. The sample comprised undergraduate medical students of either gender. Data was collected online using a 10-item standardised questionnaire. Students were asked about the revision methods they used routinely and their perceptions of conventional and evidence-based revision methods. Data was analysed using SPSS 23. RESULTS: Of the total 136 respondents, 92(67%) were females and 44(32.3%) were male students. The response from preclinical and clinical years was 67 (50.7%) and 69(49.2%), respectively. Highlighting was the most widely used revision method among students (70 (51%) students), followed by re-reading important points (65 (47.7%) students). 126 (92%) students had the opinion that conventional revision methods were effective learning tools. Only 52 (38.2%) students were aware of the term 'evidence-based revision methods'. Digital tools based on principles of evidence-based revision were used by a minority of students which included use of online question banks by 21 (15.4%) students, osmosis by 40 (29.4%) students, sketchy pharma by 35 (25%)students, flashcards by 19 (14%) and picmonic by only 3 (2.2%). More than 114 (80%) students responded that they wanted evidence-based revision methods to be incorporated into curriculum, and 116 (85%) students said they would like to have a workshop on these techniques. Conclusion: Most medical students were not aware of and were not using evidence-based revision methods, and relied on conventional revision tools. They were, however, eager to learn about newer revision strategies.