Tag: nevin manimala

Int J Adolesc Med Health. 2024 Jun 12. doi: 10.1515/ijamh-2024-0056. Online ahead of print.

ABSTRACT

OBJECTIVES: Adolescent cases suffering from obesity tend to increase in middle-income countries. This study focused on the relationship between adolescent obesity and parents body mass index (BMI) and the variables of satisfaction, diet implementation and sports promotion.

METHODS: This cross-sectional study was conducted among adolescents living in the Mediterranean region (n=522, evaluated n=488). Anthropometric measurements were taken by expert researchers and data were collected using face-to-face survey technique.

RESULTS: The average BMI of the adolescents and parents’ was found to be above normal values. In adolescents, there was a positive and very good correlation with maternal BMI (r=0.711, p<0.01), a positive and moderate correlation with paternal BMI (r=0.512, p<0.01); In girl adolescents, it was positively and very well with maternal BMI (r=0.731, p<0.01), positively and moderately with father BMI (r=0.549, p<0.01); In boy adolescents, a positive and good correlation was found with maternal BMI (r=0.698, p<0.01), and a positive and moderate correlation with paternal BMI (r=0.459, p<0.01). In the analyzes comparing those who thought obesity threatened them (group 1) and those who did not think it threatened them (group 2), there was a statistically significant difference between the groups in terms of BMI distribution, satisfaction with body weight, diet program implementation, diet recommendation by the family and sports encouragement (p<0, 05).

CONCLUSIONS: In a cross-sectional perspective paternal obesity is also significant in adolescents and the correlation with maternal obesity is relatively more effective. Also includes evidence of individual efforts and parental contribution in adolescents who see obesity as a threat.

PMID:38857484 | DOI:10.1515/ijamh-2024-0056

Neurology. 2024 Jul 9;103(1):e209541. doi: 10.1212/WNL.0000000000209541. Epub 2024 Jun 10.

ABSTRACT

BACKGROUND AND OBJECTIVES: Aicardi Goutières syndrome (AGS) is type I interferonopathy characterized by severe neurologic impairment. Although many children with AGS demonstrate motor and expressive language deficits, the magnitude of receptive language impairment is uncharacterized. We sought to characterize cognitive function in AGS-affected children using assessment tools with reduced dependence on motor abilities and compare cognitive testing outcomes with overall severity and parental assessment of adaptive behavior.

METHODS: We performed a cross-sectional study. Children were recruited as part of the Myelin Disorders Biorepository Project at the Children’s Hospital of Philadelphia. We included individuals with a confirmed diagnosis of AGS. We administered the Leiter International Performance Scale, third edition (Leiter-3), and the Vineland Adaptive Behavior Scale, third edition (VABS-3), in the context of research encounters. Motor skills were categorized by AGS Severity Scale mobility levels. Descriptive statistics and Spearman’s rank correlation were used to compare assessments. Mann-Whitney and Kruskal-Wallis tests with correction with Dunn’s multiple comparison test were used to compare test performance between mobility groups.

RESULTS: Cognitive and adaptive behavior performance was captured in 57 children. The mean age at encounters was 8.51 (SD 5.15) years. The median (IQR) Leiter-3 score was 51 (interquartile range [IQR] 60), with administration failure in 20 of 57 (35%) individuals. On the VABS-3, the Motor Domain (median 29, IQR 36.25) was more impacted than the Communication (median 50, IQR 52), Daily Living Skills (median 52, IQR 31), and Socialization (median 54, IQR 40) Domains (p < 0.0001). The AGS Scale correlated with VABS-3 (r = 0.86, p < 0.0001) and Leiter-3 (r = 0.87, p < 0.0001). There was correlation between VABS-3 Domains and Leiter-3 (r-range 0.83-0.97). Gross motor and fine motor categories, respectively, correlated with VABS-3 (H = 39.37, p < 0.0001; U = 63, p < 0.0001) and Leiter-3 (H = 40.43, p < 0.0001; U = 66, p < 0.0001). Within each gross motor and fine motor category of the AGS Scale, a subset of children scored within normal IQ range.

DISCUSSION: Parental assessment of function by the VABS-3 correlated with directly assessed performance measures. Our data underscore the potential value of VABS-3 and Leiter-3 as tools to assess psychometric function in AGS. With a deeper understanding of our patients’ abilities, we can better guide clinicians and families to provide appropriate support and personalized interventions to empower children with leukodystrophies to maximize their communication and educational potential.

PMID:38857477 | DOI:10.1212/WNL.0000000000209541

JCO Clin Cancer Inform. 2024 Jun;8:e2300091. doi: 10.1200/CCI.23.00091.

ABSTRACT

PURPOSE: Data on lines of therapy (LOTs) for cancer treatment are important for clinical oncology research, but LOTs are not explicitly recorded in electronic health records (EHRs). We present an efficient approach for clinical data abstraction and a flexible algorithm to derive LOTs from EHR-based medication data on patients with glioblastoma multiforme (GBM).

METHODS: Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians. The resulting data were used to build a cohort of patients with confirmed GBM diagnosis. An algorithm was developed to derive LOTs using structured medication data, accounting for the addition and discontinuation of therapies and drug class. Descriptive statistics were calculated and time-to-next-treatment (TTNT) analysis was performed using the Kaplan-Meier method.

RESULTS: Treating clinicians as the gold standard, nonclinicians abstracted GBM diagnosis with a sensitivity of 0.98, specificity 1.00, positive predictive value 1.00, and negative predictive value 0.90, suggesting that nonclinician abstraction of GBM diagnosis was comparable with clinician abstraction. Of 693 patients with a confirmed diagnosis of GBM, 246 patients contained structured information about the types of medications received. Of them, 165 (67.1%) received a first-line therapy (1L) of temozolomide, and the median TTNT from the start of 1L was 179 days.

CONCLUSION: We described a workflow for extracting diagnosis of GBM and LOT from EHR data that combines nonclinician abstraction with algorithmic processing, demonstrating comparable accuracy with clinician abstraction and highlighting the potential for scalable and efficient EHR-based oncology research.

PMID:38857465 | DOI:10.1200/CCI.23.00091

J Am Med Inform Assoc. 2024 Jun 10:ocae129. doi: 10.1093/jamia/ocae129. Online ahead of print.

ABSTRACT

OBJECTIVES: Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer (GPT) incorporates 2 distinct modes-real-time search and pretrained model utilization-it encounters challenges in dealing with these tasks. Specifically, the real-time search can pinpoint some relevant articles but occasionally provides fabricated papers, whereas the pretrained model excels in generating well-structured summaries but struggles to cite specific sources. In response, this study introduces RefAI, an innovative retrieval-augmented generative tool designed to synergize the strengths of large language models (LLMs) while overcoming their limitations.

MATERIALS AND METHODS: RefAI utilized PubMed for systematic literature retrieval, employed a novel multivariable algorithm for article recommendation, and leveraged GPT-4 turbo for summarization. Ten queries under 2 prevalent topics (“cancer immunotherapy and target therapy” and “LLMs in medicine”) were chosen as use cases and 3 established counterparts (ChatGPT-4, ScholarAI, and Gemini) as our baselines. The evaluation was conducted by 10 domain experts through standard statistical analyses for performance comparison.

RESULTS: The overall performance of RefAI surpassed that of the baselines across 5 evaluated dimensions-relevance and quality for literature recommendation, accuracy, comprehensiveness, and reference integration for summarization, with the majority exhibiting statistically significant improvements (P-values <.05).

DISCUSSION: RefAI demonstrated substantial improvements in literature recommendation and summarization over existing tools, addressing issues like fabricated papers, metadata inaccuracies, restricted recommendations, and poor reference integration.

CONCLUSION: By augmenting LLM with external resources and a novel ranking algorithm, RefAI is uniquely capable of recommending high-quality literature and generating well-structured summaries, holding the potential to meet the critical needs of biomedical professionals in navigating and synthesizing vast amounts of scientific literature.

PMID:38857454 | DOI:10.1093/jamia/ocae129

Bioinformatics. 2024 Jun 10:btae360. doi: 10.1093/bioinformatics/btae360. Online ahead of print.

ABSTRACT

MOTIVATION: The identification of cancer subtypes plays a crucial role in cancer research and treatment. With the rapid development of high-throughput sequencing technologies, there has been an exponential accumulation of cancer multi-omics data. Integrating multi-omics data has emerged as a cost-effective and efficient strategy for cancer subtyping. While current methods primarily rely on genomics data, protein expression data offers a closer representation of phenotype. Therefore, integrating protein expression data holds promise for enhancing subtyping accuracy. However, the scarcity of protein expression data compared to genomics data presents a challenge in its direct incorporation into existing methods. Moreover, striking a balance between omics-specific learning and cross-omics learning remains a prevalent challenge in current multi-omics integration methods.

RESULTS: We introduce Subtype-MGTP, a novel cancer subtyping framework based on the translation of Multiple Genomics To Proteomics. Subtype-MGTP comprises two modules: a translation module, which leverages available protein data to translate multi-type genomics data into predicted protein expression data, and an improved deep subspace clustering module, which integrates contrastive learning to cluster the predicted protein data, yielding refined subtyping results. Extensive experiments conducted on benchmark datasets demonstrate that Subtype-MGTP outperforms nine state-of-the-art cancer subtyping methods. The interpretability of clustering results is further supported by the clinical and survival analysis. Subtype-MGTP also exhibits strong robustness against varying rates of missing protein data and demonstrates distinct advantages in integrating multi-omics data with imbalanced multi-omics data.

AVAILABILITY AND IMPLEMENTATION: The code and results are available at https://github.com/kybinn/Subtype-MGTP.

PMID:38857453 | DOI:10.1093/bioinformatics/btae360

Plast Reconstr Surg. 2024 May 24. doi: 10.1097/PRS.0000000000011562. Online ahead of print.

ABSTRACT

BACKGROUND: Color match of a reconstructed breast with the surrounding area is of importance for the overall aesthetic result. The objective of our study was to quantify the degree of color match achieved with different autologous breast reconstructions and to analyze the changes in color over time by analyzing digital photographs.

METHODS: 193 patients that underwent a delayed autologous breast reconstruction (DIEP, PAP, LAP, LD) were included. Standardized pictures from 242 flaps at 3 months and 9-12 months postoperative were analyzed and the L*a*b* values and delta E2000 (dE) values were determined to qualify the color match. The Kruskal-Wallis and Wilcoxon rank-sum tests were used for statistical analysis.

RESULTS: Initially, DIEP flaps had a significant lower dE value compared to LD (p=0.012) and PAP flaps (p < 0.001) when compared with the natural breast. PAP flaps showed a significant decrease after 9-12 months (p=0.003). Perception of color match was in all flaps comparable. Compared to the cleavage, at late follow-up, DIEP flaps had a significant higher dE value compared to LD (p=0.017) and PAP flaps (p < 0.001). PAP flaps presented a significant decrease of dE after 9-12 months (p =0.031). Abdominal skin presented no better skin color match in patients with PAP, LD, and LAP flaps.

CONCLUSIONS: All analyzed flaps have a comparable color match with the surrounding tissue as well as with the contralateral breast about one year after surgery. The color of PAP flaps changes more, which leads to an improvement at a later follow-up.

PMID:38857415 | DOI:10.1097/PRS.0000000000011562

Proc Natl Acad Sci U S A. 2024 Jun 18;121(25):e2401326121. doi: 10.1073/pnas.2401326121. Epub 2024 Jun 10.

ABSTRACT

When wires are cut, the tool produces striations on the cut surface; as in other forms of forensic analysis, these striation marks are used to connect the evidence to the source that created them. Here, we argue that the practice of comparing two wire cut surfaces introduces complexities not present in better-investigated forensic examination of toolmarks such as those observed on bullets, as wire comparisons inherently require multiple distinct comparisons, increasing the expected false discovery rate. We call attention to the multiple comparison problem in wire examination and relate it to other situations in forensics that involve multiple comparisons, such as database searches.

PMID:38857394 | DOI:10.1073/pnas.2401326121

Proc Natl Acad Sci U S A. 2024 Jun 18;121(25):e2312293121. doi: 10.1073/pnas.2312293121. Epub 2024 Jun 10.

ABSTRACT

The perception of sensory attributes is often quantified through measurements of sensitivity (the ability to detect small stimulus changes), as well as through direct judgments of appearance or intensity. Despite their ubiquity, the relationship between these two measurements remains controversial and unresolved. Here, we propose a framework in which they arise from different aspects of a common representation. Specifically, we assume that judgments of stimulus intensity (e.g., as measured through rating scales) reflect the mean value of an internal representation, and sensitivity reflects a combination of mean value and noise properties, as quantified by the statistical measure of Fisher information. Unique identification of these internal representation properties can be achieved by combining measurements of sensitivity and judgments of intensity. As a central example, we show that Weber’s law of perceptual sensitivity can coexist with Stevens’ power-law scaling of intensity ratings (for all exponents), when the noise amplitude increases in proportion to the representational mean. We then extend this result beyond the Weber’s law range by incorporating a more general and physiology-inspired form of noise and show that the combination of noise properties and sensitivity measurements accurately predicts intensity ratings across a variety of sensory modalities and attributes. Our framework unifies two primary perceptual measurements-thresholds for sensitivity and rating scales for intensity-and provides a neural interpretation for the underlying representation.

PMID:38857385 | DOI:10.1073/pnas.2312293121

J Clin Neurophysiol. 2024 Jun 10. doi: 10.1097/WNP.0000000000001088. Online ahead of print.

ABSTRACT

INTRODUCTION: Transcutaneous electrical stimulation is used to stimulate the dorsal roots of the cauda equina. Multiple elicited responses recorded in the lower extremity muscles are called posterior root muscle reflexes (PRMRs). Normal PRMR values in the muscles of healthy lower extremities have yet to be determined.

METHODS: Thirty subjects without known lumbosacral spinal root illness were included in this study. Subsequently, they were subjected to transcutaneous electrical stimulation of the cauda equina. Posterior root muscle reflex was recorded in the four muscle groups of both lower extremities. We elicited multiple PRMR and examined their characteristics in order to establish normal electrophysiological parameter values.

RESULTS: Posterior root muscle reflex was successfully elicited in the tibialis anterior (96.7%), gastrocnemius (100%), quadriceps femoris (93.3%), and hamstring (96.7%). No statistically significant differences were found in the intensity of stimulation, latencies, or area under the PRMR between the right and left leg muscles. The area under PRMR varied significantly among the participants. Higher body weight and abdominal girth showed a significant positive correlation with stimulation intensity for eliciting PRMR, and a significant negative correlation with the area under PRMR. Older age showed a significant negative correlation with the success of eliciting PRMR and the area under the PRMR.

CONCLUSIONS: Posterior root muscle reflex is a noninvasive and successful method for eliciting selective reflex responses of cauda equina posterior roots. Obtained values could be used in future studies to evaluate the utility of this methodology in clinical practice. This methodology could improve testing of the proximal lumbosacral nervous system functional integrity.

PMID:38857374 | DOI:10.1097/WNP.0000000000001088

Am Nat. 2024 Jul;204(1):15-29. doi: 10.1086/730261. Epub 2024 May 17.

ABSTRACT

AbstractAdaptation to replicated environmental conditions can be remarkably predictable, suggesting that parallel evolution may be a common feature of adaptive radiation. An open question, however, is how phenotypic variation itself evolves during repeated adaptation. Here, we use a dataset of morphological measurements from 35 populations of threespine stickleback, consisting of 16 parapatric lake-stream pairs and three marine populations, to understand how phenotypic variation has evolved during transitions from marine to freshwater environments and during subsequent diversification across the lake-stream boundary. We find statistical support for divergent phenotypic covariance (P) across populations, with most diversification of P occurring among freshwater populations. Despite a close correspondence between within-population phenotypic variation and among-population divergence, we find that variation in P is unrelated to total variation in population means across the set of populations. For lake-stream pairs, we find that theoretical predictions for microevolutionary change can explain more than 30% of divergence in P matrices across the habitat boundary. Together, our results indicate that divergence in variance structure occurs primarily in dimensions of trait space with low phenotypic integration, correlated with disparate lake and stream environments. Our findings illustrate how conserved and divergent features of multivariate variation can underlie adaptive radiation.

PMID:38857340 | DOI:10.1086/730261