Burden of depression and anxiety among caregivers of children having structural epilepsy.

Context: Epilepsy is one of the most common chronic neurological disorders in childhood. Structural malformations of the cerebral cortex are an important cause of developmental disabilities and epilepsy; this leads to a significant amount of psychological burden on parents of such children. Despite being a common and debilitating neurological illness, there is a paucity of data on the burden of stress and depression in parents of such children. Aims: The objective was to find out the burden of these illnesses on caregivers of such children. Settings and Design: This was a hospital-based cross-sectional, questionnaire-based study conducted in the Department of Pediatrics (both inpatient and outpatient), PGIMS Rohtak, during the period of June-September 2023. Parents of children with structural epilepsy (age: 2-14 years) were study subjects. Methods and Material: A cross-sectional study involving parents of 100 children with structural epilepsy (aged 2-14 years) was conducted using Hamilton Depression Rating Scale (HDRS) and Hamilton Anxiety Rating Scale (HAM-A). Statistical Analysis Used: Data were recorded in Microsoft Office Excel. Statistical analysis was performed using Statistical Package for Social Sciences v22. Statistical significance was checked by P value (two-tailed) considering value < 0.05 as significant. Results: Higher levels of anxiety and depression were seen in parents of children having structural epilepsy. Relatively higher levels were seen in parents of such children who were receiving polytherapy (HDRS (P = 0.002); HAM-A (0.001)). Conclusions: This study shows a higher prevalence of anxiety and depression among caregivers of children having structural epilepsy. Parents of such children require extra support as they appear to be a population prone to illnesses that will hinder the proper care of children with structural epilepsy and their quality of life. This circle has to be broken for better upbringing and treatment compliance for such children. Preventive and therapeutic interventions need to be taken to reduce the burden of such psychiatric illness at the community level.

Serum Resistin as a Potential Mortality Predictor in Neonatal Sepsis.

Aim The aim of this study was to investigate the utility of serum resistin levels as a prognostic indicator for mortality in neonates diagnosed with sepsis. Methodology This one-year prospective study at Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, India, included 151 neonates categorized into two groups based on blood culture results: group 1 (n=86) included those with culture-negative, probable sepsis and group 2 (n=65) included those with culture-positive, proven sepsis. Blood samples obtained pre-treatment underwent comprehensive analysis, including complete blood count, C-reactive protein assessment, micro-erythrocyte sedimentation rate, and resistin level measurement via enzyme-linked immunosorbent assay. The comparison between groups was conducted using either the Student t-test or the Mann-Whitney U test, while correlations were assessed using the Spearman correlation. These analyses were employed to identify the optimal resistin cut-off for distinguishing patients with sepsis. A p-value of <0.05 was considered statistically significant. Results This study with 151 neonates diagnosed with sepsis found a significant association (p < 0.05) between elevated serum resistin levels and increased mortality risk. Multivariate analysis confirmed an independent predictive role of resistin. Elevated resistin levels correlate with higher chances of requiring mechanical ventilation and prolonged hospital stays. These findings highlight serum resistin's potential as a prognostic tool for the early identification of high-risk neonatal sepsis patients. Conclusion This study highlights the link between elevated serum resistin levels and increased mortality risk in neonatal sepsis, supported by strong multivariate analysis, indicating an independent predictive role. Additionally, resistin correlates with higher chances of mechanical ventilation and prolonged hospitalization, suggesting its potential as a prognostic marker for early identification of high-risk neonatal sepsis cases.

A decomposition model and voxel selection framework for fMRI analysis to predict neural response of visual stimuli.

This paper presents an fMRI signal analysis methodology using geometric mean curve decomposition (GMCD) and mutual information-based voxel selection framework. Previously, the fMRI signal analysis has been conducted using empirical mean curve decomposition (EMCD) model and voxel selection on raw fMRI signal. The erstwhile methodology loses frequency component, while the latter methodology suffers from signal redundancy. Both challenges are addressed by our methodology in which the frequency component is considered by decomposing the raw fMRI signal using geometric mean rather than arithmetic mean and the voxels are selected from EMCD signal using GMCD components, rather than raw fMRI signal. The proposed methodologies are adopted for predicting the neural response. Experimentations are conducted in the openly available fMRI data of six subjects, and comparisons are made with existing decomposition models and voxel selection frameworks. Subsequently, the effect of degree of selected voxels and the selection constraints are analyzed. The comparative results and the analysis demonstrate the superiority and the reliability of the proposed methodology.