Trait-level predictors of human performance outcomes in personnel engaged in stressful laboratory and field tasks

Introduction

Personnel performance under stress hinges on various factors, including individual traits, training, context, mental and physiological states, and task demands. This study explored the link between the traits of military personnel and their performance outcomes in five domains: move, shoot, communicate, navigate, and sustain.

Methods

A total of 387 U.S. Army soldiers participated in this study, undergoing trait assessments covering physical, cognitive, social-emotional, demographic/lifestyle, and health domains. Performance was measured through lab and field events assessing a broad range of individual and team-level skills under conditions demanding resilience to acute cognitive and physical stress exposure. Analysis used feature selection and elastic net regression.

Results

Analyses revealed complex associations between traits and performance, with physical, cognitive, health-related, social-emotional, and lifestyle traits playing roles in guiding and constraining performance. Measures of resilience, emotion regulation, grit, and mindfulness were identified as relevant predictors of several performance-related outcomes.

Discussion

Results carry implications for the selection, training, and operational effectiveness of personnel in high-stakes occupations including military and first response. Further research is necessary to explore the mechanisms underlying these associations and inform targeted interventions to boost personnel effectiveness.

H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders

Clinical studies have proved that both structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) are implicitly associated with neuropsychiatric disorders (NDs), and integrating multi-modal to the binary classification of NDs has been thoroughly explored. However, accurately classifying multiple classes of NDs remains a challenge due to the complexity of disease subclass. In our study, we develop a heterogeneous neural network (H-Net) that integrates sMRI and fMRI modes for classifying multi-class NDs. To account for the differences between the two modes, H-Net adopts a heterogeneous neural network strategy to extract information from each mode. Specifically, H-Net includes an multi-layer perceptron based (MLP-based) encoder, a graph attention network based (GAT-based) encoder, and a cross-modality transformer block. The MLP-based and GAT-based encoders extract semantic features from sMRI and features from fMRI, respectively, while the cross-modality transformer block models the attention of two types of features. In H-Net, the proposed MLP-mixer block and cross-modality alignment are powerful tools for improving the multi-classification performance of NDs. H-Net is validate on the public dataset (CNP), where H-Net achieves 90% classification accuracy in diagnosing multi-class NDs. Furthermore, we demonstrate the complementarity of the two MRI modalities in improving the identification of multi-class NDs. Both visual and statistical analyses show the differences between ND subclasses.

The diagnostic accuracy of neuromonitoring for detecting postoperative bowel and bladder dysfunction in spinal oncology surgery: a case series

PURPOSE

Postoperative bowel and bladder dysfunction (BBD) poses a significant risk following surgery of the sacral spinal segments and sacral nerve roots, particularly in neuro-oncology cases. The need for more reliable neuromonitoring techniques to enhance the safety of spine surgery is evident.

METHODS

We conducted a case series comprising 60 procedures involving 56 patients, spanning from September 2022 to January 2024. We assessed the diagnostic accuracy of sacral reflexes (bulbocavernosus and external urethral sphincter reflexes) and compared them with transcranial motor evoked potentials (TCMEP) incorporating anal sphincter (AS) and external urethral sphincter (EUS) recordings, as well as spontaneous electromyography (s-EMG) with AS and EUS recordings.

RESULTS

Sacral reflexes demonstrated a specificity of 100% in predicting postoperative BBD, with a sensitivity of 73.33%. While sensitivity slightly decreased to 64.71% at the 1-month follow-up, it remained consistently high overall. TCMEP with AS/EUS recordings did not identify any instances of postoperative BBD, whereas s-EMG with AS/EUS recordings showed a sensitivity of 14.29% and a specificity of 97.14%.

CONCLUSION

Sacral reflex monitoring emerges as a robust adjunct to routine neuromonitoring, offering surgeons valuable predictive insights to potentially mitigate the occurrence of postoperative BBD.

Risk factors for the neurodegenerative dementias in the Western Pacific region

The Western Pacific Region (WPR) is characterized by a group of socioeconomically, culturally, and geopolitically heterogenous countries and represents a microcosm of the global endemic of neurodegeneration. This review will chart the known risk factors for dementia across the WPR. We explore the intersection between the established risk factors for dementia including the biomedical and lifestyle (cardiovascular and metabolic disease, sleep, hearing loss, depression, alcohol, smoking, traumatic brain injury, genetics) and social determinants (social disadvantage, limited education, systemic racism) as well as incorporate neuroimaging data, where available, to predict disease progression in the WPR. In doing so, we highlight core risk factors for dementia in the WPR, as well as geographical epicentres at heightened risk for dementia, to orient future research towards addressing these disparities.

Advantages of disposable portable endoscope in removing thalamic hematoma via the superior parietal lobule

OBJECTIVES

Thalamic hematoma patients present with diverse clinical conditions, and treatment approaches vary widely. Currently, the use of disposable portable endoscope surgery has been rapidly adopted in many hospitals, but outcomes can vary significantly. Surgical approaches and techniques for thalamic hematoma often reference those used for basal ganglia hemorrhage, but their effectiveness remains uncertain. This study aims to explore the advantages of using disposable portable endoscopes in removing thalamic hematoma via the superior parietal lobule, providing guidelines for clinicians to manage thalamic bleeding effectively.

METHODS

Clinical data of patients with thalamic hematoma who underwent either disposable portable endoscope or microscope surgery at the Third Xiangya Hospital, Central South University, were retrospectively analyzed. Surgical duration, hematoma clearance rate, length of hospital stay, improvement rate in Glasgow Coma Scale (GCS) score at 24 hours post-operation, and incidence of pulmonary infection were compared between the 2 groups.

RESULTS

Compared with the microscope group, the disposable portable endoscope group had shorter operation time, higher hematoma clearance rate, shorter hospital stay, and lower incidence of pulmonary infection (all P<0.05). However, there was no significant difference in the improvement rate of GCS score at 24 hours post-operation between the 2 groups (P>0.05).

CONCLUSIONS

In the surgical removal of thalamic hematoma via the superior parietal lobule, the disposable portable endoscope offers advantages such as shorter surgical duration, better visualization, higher hematoma clearance rate, improved surgical efficiency, shorter hospital stay, and lower incidence of pulmonary infection. Therefore, it can be considered as a preferred surgical treatment option for patients with thalamic hematoma.

The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review

BACKGROUND

Electronic health records (EHRs) contain patients' health information over time, including possible early indicators of disease. However, the increasing amount of data hinders clinicians from using them. There is accumulating evidence suggesting that machine learning (ML) and deep learning (DL) can assist clinicians in analyzing these large-scale EHRs, as algorithms thrive on high volumes of data. Although ML has become well developed, studies mainly focus on engineering but lack medical outcomes.

OBJECTIVE

This study aims for a scoping review of the evidence on how the use of ML on longitudinal EHRs can support the early detection and prevention of disease. The medical insights and clinical benefits that have been generated were investigated by reviewing applications in a variety of diseases.

METHODS

This study was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A literature search was performed in 2022 in collaboration with a medical information specialist in the following databases: PubMed, Embase, Web of Science Core Collection (Clarivate Analytics), and IEEE Xplore Digital Library and computer science bibliography. Studies were eligible when longitudinal EHRs were used that aimed for the early detection of disease via ML in a prevention context. Studies with a technical focus or using imaging or hospital admission data were beyond the scope of this review. Study screening and selection and data extraction were performed independently by 2 researchers.

RESULTS

In total, 20 studies were included, mainly published between 2018 and 2022. They showed that a variety of diseases could be detected or predicted, particularly diabetes; kidney diseases; diseases of the circulatory system; and mental, behavioral, and neurodevelopmental disorders. Demographics, symptoms, procedures, laboratory test results, diagnoses, medications, and BMI were frequently used EHR data in basic recurrent neural network or long short-term memory techniques. By developing and comparing ML and DL models, medical insights such as a high diagnostic performance, an earlier detection, the most important predictors, and additional health indicators were obtained. A clinical benefit that has been evaluated positively was preliminary screening. If these models are applied in practice, patients might also benefit from personalized health care and prevention, with practical benefits such as workload reduction and policy insights.

CONCLUSIONS

Longitudinal EHRs proved to be helpful for support in health care. Current ML models on EHRs can support the detection of diseases in terms of accuracy and offer preliminary screening benefits. Regarding the prevention of diseases, ML and specifically DL models can accurately predict or detect diseases earlier than current clinical diagnoses. Adding personally responsible factors allows targeted prevention interventions. While ML models based on textual EHRs are still in the developmental stage, they have high potential to support clinicians and the health care system and improve patient outcomes.

Subgaleal drain versus dissection of subgaleal space and closure without drain after burr-hole drainage of chronic subdural hematoma

Background

Chronic subdural hematoma (CSDH) is a collection of blood, blood degradation products, and fluid that accumulate on the surface of the brain between its arachnoid and dural coverings. This study is to evaluate the efficacy of subgaleal drain (SGD) versus subgaleal dissection without drainage as adjuncts to burr-hole evacuation of CSDH.

Methods

A retrospective study was conducted utilizing the data of 60 patients operated for symptomatic CSDH. Patients were divided into two groups, each thirty consecutive patients: Group I, in which a SGD was inserted after CSDH evacuation through a burr-hole; and Group II, the hematoma was evacuated as in the Group I, but with no SGD insertion but instead a subgaleal pocket was created for drainage.

Results

The neurological improvement at 24 h, discharge, 2 weeks, and 6 months after surgery was comparable in both groups. The overall recurrence was 4 cases (4/60, 6.7%). The rate of recurrence and surgical infection rate were comparable in both groups. Both groups showed similar incidences of postoperative seizures, bleeding, rates of medical complications, and neurological deficits. The overall postoperative mortality was five cases (5/60, 8.3%) with no significant difference between groups.

Conclusion

Blunt dissection to open the subgaleal space and closure without a drain is a safe and efficient alternative to the insertion of a drain after the burr-hole evacuation of CSDH.

Hirayama Disease: Surgical Restoration of Hand Function

PURPOSE

Hirayama disease (HD) is a rare, nonfamilial, self-limiting, progressive lower cervical myelopathy, resulting in debilitating distal upper-extremity motor deficits, mimicking high ulnar neuropathy, lower trunk brachial plexopathy, or C8-T1 radiculopathy. Although most literature focuses on pathophysiology and prevention of disease progression, there remains limited discussion regarding treatment to improve upper-extremity function in patients with stable disease. The upper-extremity manifestations of HD are reviewed along with surgical options for restoring hand function.

METHODS

A retrospective review of patients with HD who underwent reconstruction to improve hand function was undertaken. Demographic data, preoperative electrodiagnostic and electromyographic, and physical examination findings were collected. Outcome data involved postoperative grip, pinch, and functional assessment documented on clinical visits. Qualitative descriptions of the surgical techniques are described.

RESULTS

Among six patients identified, four met the inclusion criteria and underwent tendon transfers and selected joint arthrodeses. All patients were diagnosed as teenagers, were right hand-dominant, and three were male. Unilateral symptoms were present in one patient and were bilateral in the rest. All patients were treated with tendon transfers for thumb opposition, grasp, anticlaw, and thumb interphalangeal joint arthrodesis. All patients had postoperative grip strength improvement. The average follow-up was 3.2 years.

CONCLUSIONS

Hirayama disease is a rare disease often managed by spine surgeons and neurologists who may be unaware of options for restoring hand function deficits. Technical strategies and outcomes of improving hand function in HD have not been adequately described. Surgical options to improve hand function are tailored to the deficits and include tendon transfers, select joint arthrodeses, and/or tenodeses. Risk of disease progression and expectations following hand reconstruction must be managed carefully.

TYPE OF STUDY LEVEL OF EVIDENCE

Therapeutic V.

Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis

BACKGROUND

With the rise of artificial intelligence (AI) in the field of dementia biomarker research, exploring its current developmental trends and research focuses has become increasingly important. This study, using literature data mining, analyzes and assesses the key contributions and development scale of AI in dementia biomarker research.

OBJECTIVE

The aim of this study was to comprehensively evaluate the current state, hot topics, and future trends of AI in dementia biomarker research globally.

METHODS

This study thoroughly analyzed the literature in the application of AI to dementia biomarkers across various dimensions, such as publication volume, authors, institutions, journals, and countries, based on the Web of Science Core Collection. In addition, scales, trends, and potential connections between AI and biomarkers were extracted and deeply analyzed through multiple expert panels.

RESULTS

To date, the field includes 1070 publications across 362 journals, involving 74 countries and 1793 major research institutions, with a total of 6455 researchers. Notably, 69.41% (994/1432) of the researchers ceased their studies before 2019. The most prevalent algorithms used are support vector machines, random forests, and neural networks. Current research frequently focuses on biomarkers such as imaging biomarkers, cerebrospinal fluid biomarkers, genetic biomarkers, and blood biomarkers. Recent advances have highlighted significant discoveries in biomarkers related to imaging, genetics, and blood, with growth in studies on digital and ophthalmic biomarkers.

CONCLUSIONS

The field is currently in a phase of stable development, receiving widespread attention from numerous countries, institutions, and researchers worldwide. Despite this, stable clusters of collaborative research have yet to be established, and there is a pressing need to enhance interdisciplinary collaboration. Algorithm development has shown prominence, especially the application of support vector machines and neural networks in imaging studies. Looking forward, newly discovered biomarkers are expected to undergo further validation, and new types, such as digital biomarkers, will garner increased research interest and attention.

Association between gallstone disease and carotid intima-media thickness: a prospective observational cross-sectional study in a tertiary care center

Background and objectives

Gallstone disease (GD) is a prevalent health issue globally, particularly in developed nations, and has notable associations with cardiovascular disease (CVD). This prospective observational cross-sectional study aimed to investigate the association between gallstone disease and carotid intima-media thickness (CIMT), a marker of carotid atherosclerosis, in a tertiary care setting.

Method

Conducted at a tertiary care center, the study included 96 participants (48 with gallstone disease and 48 age and sex-matched controls). Data collection involved demographic information, BMI calculation, abdominal ultrasonography for gallstone detection, and carotid ultrasonography for CIMT measurement. Statistical analysis was performed using SPSS version 26.

Results

The study revealed higher CIMT values in GD patients compared to controls (P<0.001). Additionally, a positive correlation was observed between CIMT and age (r=0.450, P<0.001) and BMI (r=0.550, P<0.001). The Cohen's d-test indicated a clinically significant difference in CIMT between GD patients and controls (d=1.47).

Conclusion

This study revealed a significant association between gallstone disease and elevated CIMT, correlating with higher BMI indicating a potential link between gallstone disease and increased risk of carotid atherosclerosis. These findings highlight the importance of assessing cardiovascular risk in patients with gallstone disease, highlighting the potential utility of carotid ultrasonography as a non-invasive screening tool. Early intervention strategies may be warranted to mitigate cardiovascular risks associated with gallstone disease.

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects

In recent years, there has been a significant improvement in the accuracy of the classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent analysis and classification systems are significantly superior to visual diagnostic methods used by dermatologists and oncologists. However, the application of such systems in clinical practice is severely limited due to a lack of generalizability and risks of potential misclassification. Successful implementation of artificial intelligence-based tools into clinicopathological practice requires a comprehensive study of the effectiveness and performance of existing models, as well as further promising areas for potential research development. The purpose of this systematic review is to investigate and evaluate the accuracy of artificial intelligence technologies for detecting malignant forms of pigmented skin lesions. For the study, 10,589 scientific research and review articles were selected from electronic scientific publishers, of which 171 articles were included in the presented systematic review. All selected scientific articles are distributed according to the proposed neural network algorithms from machine learning to multimodal intelligent architectures and are described in the corresponding sections of the manuscript. This research aims to explore automated skin cancer recognition systems, from simple machine learning algorithms to multimodal ensemble systems based on advanced encoder-decoder models, visual transformers (ViT), and generative and spiking neural networks. In addition, as a result of the analysis, future directions of research, prospects, and potential for further development of automated neural network systems for classifying pigmented skin lesions are discussed.

Global Epidemiology of Gallstones in the 21st Century: A Systematic Review and Meta-Analysis

BACKGROUND & AIMS

Gallstones are common and associated with substantial health and economic burden. We aimed to comprehensively evaluate the prevalence and incidence of gallstones in the 21st century.

METHODS

We systematically searched PubMed and Embase to identify studies reporting the prevalence and/or incidence of gallstones between January 1, 2000, and November 18, 2023. Pooled prevalence and incidence were calculated using DerSimonian and Laird's random-effects model. We performed subgroup analyses and meta-regression based on age, sex, geographic location, population setting, and modality of detection to examine sources of heterogeneity.

RESULTS

Based on 115 studies with 32,610,568 participants, the pooled prevalence of gallstones was 6.1% (95% CI, 5.6-6.5). Prevalence was higher in females vs males (7.6% vs 5.4%), in South America vs Asia (11.2% vs 5.1%), in upper-middle-income countries vs high-income countries (8.9% vs 4.0%), and with advancing age. On sensitivity analysis of population-based studies, the prevalence of gallstones was 5.5% (95% CI, 4.1-7.4; n = 44 studies), and when limiting subgroup analysis to imaging-based detection modalities, the prevalence was 6.7% (95% CI, 6.1-7.3; n = 101 studies). Prevalence has been stable over the past 20 years. Based on 12 studies, the incidence of gallstones was 0.47 per 100 person-years (95% CI, 0.37-0.51), without differences between males and females, and with increasing incidence in more recent studies.

CONCLUSIONS

Globally, 6% of the population have gallstones, with higher rates in females and in South America. The incidence of gallstones may be increasing. Our findings call for prioritizing research on the prevention of gallstones.

Calcium influx: An essential process by which α-Synuclein regulates morphology of erythrocytes

INTRODUCTION

Morphological abnormalities of erythrocytes/red blood cells (RBCs), e.g., increased acanthocytes, in Parkinson's disease (PD) have been reported previously, although the underlying mechanisms remain to be characterized. In this study, the potential roles of α-synuclein (α-syn), a protein critically involved in PD and highly abundant in RBCs, were studied in PD patients as well as in a PD mouse model.

METHODS

Transgenic [PAC-Tg (SNCAA53T), A53T] mice overexpressing A53T mutant α-syn and SNCA knockout mice were employed to characterize the effect of α-syn on RBC morphology. In addition to A53T and SNCA knockout mice, the morphology of RBCs of PD patients was also examined using scanning electron microscopy. The potential roles of α-syn were further investigated in cultured RBCs and mice.

RESULTS

Morphological abnormalities of RBCs and increased accumulation of aggregated α-syn on the RBC membrane were observed in PD patients. A similar phenomenon was also observed in A53T mice. Furthermore, while mice lacking α-syn expression showed a lower proportion of acanthocytes, treating RBCs derived from SNCA knockout mice with aggregated α-syn resulted in a higher percentage of acanthocytes. In a follow-up proteomic investigation, several major classes of proteins were identified as α-syn-associated proteins on the RBC membrane, seven of which were calcium-binding proteins. Applying aggregated α-syn to the RBC membrane directly induced extracellular calcium influx along with morphological changes; both observations were adequately reversed by blocking calcium influx.

CONCLUSIONS

This study demonstrated that α-syn plays a critical role in PD-associated morphological abnormalities of RBCs, at least partially via a process mediated by extracellular calcium influx.

Acupoints for Headache with Blood Stasis Syndrome: a Literature Study Based on Data Mining Technology

Objective

This study aimed to investigate the features and underlying principles of acupuncture points used in the treatment of headaches associated with blood stasis syndrome.

Methods

Literature on the treatment of blood stasis headache with acupuncture and moxibustion was searched across three Chinese databases and one English database from January 1st, 2000, to January 1st, 2024. Relevant data including titles, journals, authors, keywords, interventions, main acupoints, and outcomes were extracted for further analysis.

Results

A total of 112 papers with 102 complete prescriptions were analyzed. Of the 77 acupoints examined, 72 were meridian points, and 5 were extraordinary points, used 699 times in total. The top ten acupoints by frequency were Fengchi (GB20), Taiyang (EX-HN5), Baihui (GV20), Hegu (LI4), Shuaigu (GB8), Taichong (LR3), Xuehai (SP10), Touwei (ST8), Geshu (BL17), and Waiguan (TE5). Yang meridian points were used more frequently than Yin meridian points (82.8% vs 17.2%), with the Gallbladder Meridian of Foot Shaoyang being the most common. Nearly half of the acupoints (49.9%) were on the head and neck, and 23.1% on the lower limbs. Specific acupoints accounted for 53.5% of the total frequency. Fengchi (GB20) and Taiyang (EX-HN5) showed the highest correlation. Association rule mining highlighted combinations like Fengchi (GB20) with Taiyang (EX-HN5) and Baihui (GV20). Cluster analysis yielded five clusters.

Conclusion

The study provides insights into selecting effective acupoints and combinations for clinical acupuncture practice and experimental studies in treating blood stasis headaches. Acupoints like Fengchi (GB20), Taiyang (EX-HN5), and Baihui (GV20) may be effective for clinical treatment, but further studies are needed to validate their efficacy.

The Effect of Oral Diet Training in Indwelling Nasogastric Tube Patients with Prolonged Dysphagia

Background: Patients with severe dysphagia are usually fed using a nasogastric tube (NGT). Many patients who receive long-term NGT feeding are unable to obtain sufficient nutrients orally immediately after NGT removal. Thus, a transitional period involving oral diet training is required to transition from NGT feeding to exclusive oral feeding. We aimed to investigate the therapeutic effect of oral diet training in indwelling NGT patients with prolonged dysphagia. Methods: A total of 175 patients who were fed using an NGT for more than 4 weeks were enrolled. Their swallowing function was evaluated by a videofluoroscopic swallowing study (VFSS). During the VFSS, patients received thick and thin barium while the NGT was inserted. Then, the patients underwent a VFSS without an NGT thirty minutes after NGT removal. If a patient had no aspiration with NGT inserted during the VFSS, oral diet training combined with NGT feeding was recommended. Results: Of the 49 indwelling NGT patients who were recommended to receive oral diet training, 39 (79.6%) transitioned to exclusive oral feeding. A transition period of 2-8 weeks was required for them to achieve full oral feeding. Patients who were eligible for oral feeding trials showed no significant aspiration during the VFSS with an NGT inserted and had sufficient cough function. Patients who required prolonged NGT feeding and who could not complete oral trials showed significant aspiration during the VFSS when an NGT was inserted. Conclusions: This study demonstrated that oral diet training combined with NGT feeding is safe in patients with prolonged dysphagia who have sufficient cough function and no aspiration during VFSS. We suggest that if the patient is a proper candidate for NGT removal, direct oral feeding training with an NGT inserted could be a useful therapeutic strategy during the transitional period from long-term NGT feeding to successful oral feeding.

Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present

There has been growing scientific interest in the research field of deep learning techniques applied to skin cancer diagnosis in the last decade. Though encouraging data have been globally reported, several discrepancies have been observed in terms of study methodology, result presentations and validation in clinical settings. The present review aimed to screen the scientific literature on the application of DL techniques to dermoscopic melanoma/nevi differential diagnosis and extrapolate those original studies adequately by reporting on a DL model, comparing them among clinicians and/or another DL architecture. The second aim was to examine those studies together according to a standard set of statistical measures, and the third was to provide dermatologists with a comprehensive explanation and definition of the most used artificial intelligence (AI) terms to better/further understand the scientific literature on this topic and, in parallel, to be updated on the newest applications in the medical dermatologic field, along with a historical perspective. After screening nearly 2000 records, a subset of 54 was selected. Comparing the 20 studies reporting on convolutional neural network (CNN)/deep convolutional neural network (DCNN) models, we have a scenario of highly performant DL algorithms, especially in terms of low false positive results, with average values of accuracy (83.99%), sensitivity (77.74%), and specificity (80.61%). Looking at the comparison with diagnoses by clinicians (13 studies), the main difference relies on the specificity values, with a +15.63% increase for the CNN/DCNN models (average specificity of 84.87%) compared to humans (average specificity of 64.24%) with a 14,85% gap in average accuracy; the sensitivity values were comparable (79.77% for DL and 79.78% for humans). To obtain higher diagnostic accuracy and feasibility in clinical practice, rather than in experimental retrospective settings, future DL models should be based on a large dataset integrating dermoscopic images with relevant clinical and anamnestic data that is prospectively tested and adequately compared with physicians.

Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata

BACKGROUND

Sexually transmitted infections (STIs) pose a significant global public health challenge. Early diagnosis and treatment reduce STI transmission, but rely on recognising symptoms and care-seeking behaviour of the individual. Digital health software that distinguishes STI skin conditions could improve health-seeking behaviour. We developed and evaluated a deep learning model to differentiate STIs from non-STIs based on clinical images and symptoms.

METHODS

We used 4913 clinical images of genital lesions and metadata from the Melbourne Sexual Health Centre collected during 2010-2023. We developed two binary classification models to distinguish STIs from non-STIs: (1) a convolutional neural network (CNN) using images only and (2) an integrated model combining both CNN and fully connected neural network (FCN) using images and metadata. We evaluated the model performance by the area under the ROC curve (AUC) and assessed metadata contributions to the Image-only model.

RESULTS

Our study included 1583 STI and 3330 non-STI images. Common STI diagnoses were syphilis (34.6%), genital warts (24.5%) and herpes (19.4%), while most non-STIs (80.3%) were conditions such as dermatitis, lichen sclerosis and balanitis. In both STI and non-STI groups, the most frequently observed groups were 25-34 years (48.6% and 38.2%, respectively) and heterosexual males (60.3% and 45.9%, respectively). The Image-only model showed a reasonable performance with an AUC of 0.859 (SD 0.013). The Image + Metadata model achieved a significantly higher AUC of 0.893 (SD 0.018) compared to the Image-only model (p < 0.01). Out of 21 metadata, the integration of demographic and dermatological metadata led to the most significant improvement in model performance, increasing AUC by 6.7% compared to the baseline Image-only model.

CONCLUSIONS

The Image + Metadata model outperformed the Image-only model in distinguishing STIs from other skin conditions. Using it as a screening tool in a clinical setting may require further development and evaluation with larger datasets.

A critical appraisal of ferroptosis in Alzheimer's and Parkinson's disease: new insights into emerging mechanisms and therapeutic targets

Neurodegenerative diseases represent a pressing global health challenge, and the identification of novel mechanisms underlying their pathogenesis is of utmost importance. Ferroptosis, a non-apoptotic form of regulated cell death characterized by iron-dependent lipid peroxidation, has emerged as a pivotal player in the pathogenesis of neurodegenerative diseases. This review delves into the discovery of ferroptosis, the critical players involved, and their intricate role in the underlying mechanisms of neurodegeneration, with an emphasis on Alzheimer's and Parkinson's diseases. We critically appraise unsolved mechanistic links involved in the initiation and propagation of ferroptosis, such as a signaling cascade resulting in the de-repression of lipoxygenase translation and the role played by mitochondrial voltage-dependent anionic channels in iron homeostasis. Particular attention is given to the dual role of heme oxygenase in ferroptosis, which may be linked to the non-specific activity of P450 reductase in the endoplasmic reticulum. Despite the limited knowledge of ferroptosis initiation and progression in neurodegeneration, Nrf2/Bach1 target genes have emerged as crucial defenders in anti-ferroptotic pathways. The activation of Nrf2 and the inhibition of Bach1 can counteract ferroptosis and present a promising avenue for future therapeutic interventions targeting ferroptosis in neurodegenerative diseases.

Time trends in Alzheimer's disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis

Background

With the increase in the aging population worldwide, Alzheimer's disease has become a rapidly increasing public health concern. In the Global Burden of Disease Study 2019, there are three risk factors judged to have evidence for a causal link to Alzheimer's disease and other dementias: smoking, high body-mass index (HBMI), and high fasting plasma glucose (HFPG).

Objective

This study aimed to analyze trends in AD mortality and the relevant burden across China from 1990 to 2019, as well as their correlation with age, period, and birth cohort.

Methods

The data were extracted from the GBD 2019. Trends in AD mortality attributable to metabolic risks (HFPG and HBMI) and smoking were analyzed using Joinpoint regression. The age-period-cohort (APC) model was used to evaluate cohort and period effects.

Results

From 1990 to 2019, the overall age-standardized mortality rate of AD increased, especially in women. There was an increase in AD mortality due to smoking in the net drift, and it was more significant in women (0.46, 95%CI = [0.09, 0.82]) than men (-0.03, 95%CI = [-0.11, 0.05]). For the cause of HFPG, the net drift values for men and women were 0.82% and 0.43%. For HBMI, the values were 3.14% and 2.76%, respectively, reflecting substantial increases in AD mortality.

Conclusion

Time trends in AD mortality caused by metabolic risks and smoking in China from 1990 to 2019 have consistently increased. Therefore, it is necessary to prevent excessive weight gain and obesity during the later stages of life, especially for females.

Long-Term Proton Pump Inhibitor-Acid Suppressive Treatment Can Cause Vitamin B12 Deficiency in Zollinger-Ellison Syndrome (ZES) Patients

Whether the long-term treatment of patients with proton pump inhibitors (PPIs) with different diseases [GERD, Zollinger-Ellison syndrome (ZES), etc.] can result in vitamin B12 (VB12) deficiency is controversial. In this study, in 175 patients undergoing long-term ZES treatment with anti-acid therapies, drug-induced control acid secretory rates were correlated with the presence/absence of VB12 deficiency, determined by assessing serum VB12 levels, measurements of VB12 body stores (blood methylmalonic acid (MMA) and total homocysteine[tHYC]), and other features of ZES. After a mean of 10.2 yrs. of any acid treatment (5.6 yrs. with PPIs), 21% had VB12 deficiency with significantly lower serum and body VB12 levels (p < 0.0001). The presence of VB12 deficiency did not correlate with any feature of ZES but was associated with a 12-fold lower acid control rate, a 2-fold higher acid control pH (6.4 vs. 3.7), and acid control secretory rates below those required for the activation of pepsin (pH > 3.5). Over a 5-yr period, the patients with VB12 deficiency had a higher rate of achlorhydria (73% vs. 24%) and a lower rate of normal acid secretion (0% vs. 49%). In conclusion, in ZES patients, chronic long-term PPI treatment results in marked acid hyposecretion, resulting in decreased serum VB12 levels and decreased VB12-body stores, which can result in VB12 deficiency.

The Predictive Value of the Verbal Glasgow Coma Scale in Traumatic Brain Injury: A Systematic Review

BACKGROUND

Traumatic brain injury (TBI) is a major global health concern, imposing significant burdens on individuals and healthcare systems. The Glasgow Coma Scale (GCS), a widely utilized instrument for evaluating neurological status, includes 3 variables: motor, verbal, and eye opening. The GCS plays a crucial role in TBI severity stratification. While extensive research has explored the predictive capabilities of the overall GCS score and its motor component, the Verbal Glasgow Coma Scale (V-GCS) has garnered less attention.

OBJECTIVE

To examine the predictive accuracy of the V-GCS in assessing outcomes in patients with TBI, with a particular focus on functional outcome and mortality. In addition, we intend to compare its predictive performance with other components of the GCS.

METHODS

A systematic review, based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was conducted utilizing the PubMed, Scopus, and Web of Science databases. Inclusion criteria encompassed 10 clinical studies involving patients with TBI, wherein the level of consciousness was assessed using the verbal GCS score. Predominant statistical measures employed were odds ratios (ORs) and area under the curve (AUC).

RESULTS

Recorded findings consistently underscore that lower V-GCS scores are associated with adverse functional outcomes and mortality in patients with TBI. Despite the predictive accuracy of the V-GCS, the Motor Glasgow Coma Scale (M-GCS) emerges as a superior predictor.

CONCLUSION

In the context of TBI outcome prediction, the V-GCS demonstrates its efficacy as a prognostic tool. However, the M-GCS exhibits superior performance compared with the V-GCS. These insights underscore the multifaceted nature of TBI assessment and emphasize the necessity of considering distinct components of the Glasgow Coma Scale for comprehensive evaluation. Further research is warranted to refine and improve the application of these predictive measures in clinical practice.

Quantitative Assessment of Brain Expansion After Evacuation of Chronic Subdural Hematoma as a Predictor of Recurrence

BACKGROUND

A lack of brain expansion is considered a risk factor for recurrence after evacuation of a chronic subdural hematoma (CSDH). To the best of our knowledge, no studies have reported on objective measurement of brain expansion after evacuation of a CSDH.

METHODS

We performed a retrospective analysis of prospectively collected data of patients undergoing 2 burr hole evacuation of a CSDH. We measured the depth of the brain surface from the frontal burr hole dural opening after hematoma evacuation using a specially devised measuring tool. Other predictors analyzed for recurrence of hematoma were age, gender, a history of hypertension, the use of anticoagulant and/or antiplatelet agents, Glasgow coma scale score at presentation, unilateral or bilateral hematoma, computed tomography appearance, and hematoma thickness.

RESULTS

Among 88 patients who underwent hematoma evacuation, 3 (3.4%) underwent surgery for recurrence. The significant factors associated with recurrence were the presence of bilateral hematoma (P = 0.001), hematoma width >2.3 cm (P = 0.04), gradation type of hematoma on the computed tomography scan (P = 0.03), and the depth of the brain after hematoma evacuation (P = 0.02). The brain expanded less in those with recurrence, with a mean depth of the brain of 18 ± 6 mm versus 7.27 ± 7.8 mm in those without recurrence.

CONCLUSIONS

Evacuation of a CSDH through 2 burr holes, along with copious irrigation and bed rest for 3 days, resulted in a very low recurrence rate without the use of a drain. A lack of brain expansion might be a predictor of recurrence. To the best of our knowledge, this is the first study to quantitatively measure the depth of the brain at surgery in patients undergoing surgery for CSDH.

Neuroendoscopic Surgery Versus Stereotactic Aspiration in the Treatment of Supratentorial Intracerebral Hemorrhage: A Meta-Analysis

BACKGROUND

Debate persists over the relative merits of neuroendoscopic surgery (NS) compared to stereotactic aspiration (SA) for treating supratentorial intracerebral hemorrhage (ICH). Consequently, we undertook this meta-analysis to assess the efficacy and safety of NS versus SA.

METHODS

We searched for the all-relevant studies systematically from English databases including PubMed, Embase, Web of Science, and the Cochrane Library. Three independent researchers identified and selected these literatures that met the inclusion criteria. Then we evaluated the quality of these studies according to the Cochrane Collaboration's risk of bias tool and the Newcastle-Ottawa Scale. RevMan 5.4 statistical software was used to conduct this meta-analysis.

RESULTS

Sixteen studies, including 2722 supratentorial ICH patients, were included in our meta-analysis. The pooled results showed that NS could effectively improve the functional prognosis (P = 0.002), reduce the postoperative mortality (P < 0.00001), and increase the hematoma evacuation rate (P < 0.00001). In addition, SA had more advantages in shortening operation time (P < 0.00001) and reducing intraoperative blood loss (P < 0.0001). However, there was no obvious statistical difference in intensive care unit stays (P = 0.23) between NS and SA. Besides, no sufficient evidence could support a significant difference in hospital stays. In the aspect of complications, NS was discovered to have a positive effect on preventing rebleeding (P = 0.005) and intracranial infection (P = 0.003). However, no significant differences between the 2 groups in digestive tract ulcer (P = 0.34), epilepsy (P = 0.99), and pneumonia (P = 0.58) were discovered. In the subgroup analysis, factors including publication time, Glasgow Coma Scale score, age, and follow-up, all significantly influenced the good functional outcome and mortality. Meanwhile, NS behaved more advantageous in improving functional prognosis for patients with hematoma located in the basal ganglia.

CONCLUSIONS

NS may hold more advantages over SA in the treatment of supratentorial ICH. However, SA is also an effective and suitable alternative for elderly patients, especially those with multiple comorbidities intolerant to extended surgical procedures. Further high-quality studies are warranted to substantiate our findings in the future.

Admission levels of serum biomarkers have additive and cumulative prognostic value in traumatic brain injury

Elevated levels of CNS-derived serum proteins are associated with poor outcome in traumatic brain injury (TBI), but the value of adding acute serum biomarker levels to common clinical outcome predictors lacks evaluation. We analyzed admission serum samples for Total-Tau (T-Tau), Neurofilament light chain (Nfl), Glial fibrillary acidic protein (GFAP), and Ubiquitin C-terminal hydrolase L1 (UCHL1) in a cohort of 396 trauma patients including 240 patients with TBI. We assessed the independent association of biomarkers with 1-year mortality and 6-12 months Glasgow Outcome Scale Extended (GOSE) score, as well as the additive and cumulative value of biomarkers on Glasgow Coma Scale (GCS) and Marshall Score for outcome prediction. Nfl and T-Tau levels were independently associated with outcome (OR: Nfl = 1.65, p = 0.01; T-Tau = 1.99, p < 0.01). Nfl or T-Tau improved outcome prediction by GCS (Wald Chi, Nfl = 6.8-8.8, p < 0.01; T-Tau 7.2-11.3, p < 0.01) and the Marshall score (Wald Chi, Nfl = 16.2-17.5, p < 0.01; T-Tau 8.7-12.4, p < 0.01). Adding T-Tau atop Nfl further improved outcome prediction in majority of tested models (Wald Chi range 3.8-9.4, p ≤ 0.05). Our data suggest that acute levels of serum biomarkers are independently associated with outcome after TBI and add outcome predictive value to commonly used clinical scores.

The hidden threat: subdural empyema strikes a healthy teen

Background

The incidence estimates for intracranial subdural empyema are 0.1 per 100,000 individuals, making it a rare clinical condition. It is a highly morbid and fatal illness that is most commonly the result of a primary infection somewhere else.

Case presentation

The authors present a young male patient 15 years presented with 1 week history of headache, fever, confusion and seizure attack with initial negative CT head and nearly negative CSF analysis. With few days he developed left sided weakness. MRI brain showed right temporoparietal subdural fluid collection with midline shift. Urgent neurosurgical evacuation was made and revealed subdural empyema. The boy received combination therapy of vancomycin, ceftriaxone, and metronidazole. The culture of the pus was negative but 16S rRNA gene sequencing (bacterial) revealed streptococcus intermedius. He made a good recovery with no recollection or neurological deficit on follow up.

Conclusion

This case highlights the possibility of occurrence of this rare infection in otherwise healthy individuals without obvious precipitating factor. It also indicates the superiority of MRI brain over CT head in detection of subdural collection. The rapid diagnosis and intervention improve the outcome of the patient.

Surgical treatment and recurrence of chronic subdural hematoma

Background: The incidence of chronic subdural hematoma (CSDH) is increasing owing to the rapid growth of the elderly population. CSDH causes various neurological symptoms such as cognitive impairment and motor dysfunction, which can improve with appropriate surgical management.Current Concepts: CSDH usually comprises a hemorrhagic fluid that accumulates within the subdural space and compresses the brain. Surgery is indicated if CSDH is associated with neurological symptoms and is aimed at safe and sufficient drainage of the hematoma. Currently, the recommended primary surgical method involves insertion of a draining catheter after burr hole or twist-drill trephination to facilitate drainage of the hematoma over a couple of days. Craniotomy is limited to cases of organized or calcified hematoma. The postoperative recurrence rate is approximately 10% to 20%. The same treatment method is attempted in cases of recurrence.Discussion and Conclusion: Surgical methods aim for rapid symptom relief and minimal invasiveness. Trephination and indwelling subdural catheter placement can enable immediate drainage of the hematoma and can be performed under local anesthesia. Preoperatively, it is necessary to obtain an accurate medical and medication history of elderly patients. Except in cases of emergencies, it is preferable to select the timing of the surgery only after reversal of the effects of drugs to prevent surgical complications in patients who receive anticoagulants or antiplatelet agents. Close postoperative follow-up is necessary in elderly patients because insufficient brain expansion leads to maintenance of the subdural space and is associated with a high risk of recurrence.

Enhancing drug administration flexibility: evaluation of pharmacokinetic properties of tegoprazan orally disintegrating tablet (ODT) administered via nasogastric tube or oral dosing

Tegoprazan orally disintegrating tablet (ODT) formulation is a novel formulation to improve a convenience in comparison to taking the conventional tablet of tegoprazan, a potassium-competitive acid blocker. The purpose of this study was to evaluate the pharmacokinetic and safety profiles of tegoprazan ODT when administered via two routes: nasogastric tube or oral dosing. This study is expected to expand the administration route of tegoprazan ODT. The study was conducted in an open-label, randomized, single-dose, two-way crossover design with a 1-week washout period. Healthy subjects aged 19 to 45 years were administered 50 mg of tegoprazan ODT orally or dissolved in water via nasogastric tube. Tegoprazan, the active ingredient, was quantified using a ultra-high performance liquid chromatography tandem mass spectroscopy (UPLC-MS/MS), and pharmacokinetic parameters were determined through non-compartmental analysis. Safety was monitored throughout the study. A total of 48 subjects, successfully completed the trial. The geometric mean ratios for log-transformed Cmax and AUCt, representing the ratio of nasogastric tube group to oral dosing group, along with 90% confidence intervals, were 1.1087 (1.0243-1.2000) and 1.0023 (0.9620-1.0442), respectively. All adverse events were unrelated to tegoprazan and mild in intensity. The pharmacokinetic profiles of tegoprazan ODT were equivalent between the nasogastric tube and oral administration. Considering the demonstrated linear pharmacokinetics and concentration-dependent pharmacodynamics of tegoprazan, the administration via nasogastric tube is expected to yield effects equivalent to those of oral administration. This approach offers a viable alternative, especially beneficial for patients with oral intake difficulties.

Relationship between anemia and its correlates and cognitive function in Chinese patients with chronic schizophrenia: A large cross-sectional study

Background

Although both anemia and schizophrenia (SCZ) can cause cognitive decline, it is unclear whether anemia worsens cognitive decline in patients with SCZ. The primary objective of this study was to investigate the prevalence of anemia and the relationship between anemia, SCZ symptom severity, and cognitive function in patients with SCZ.

Methods

We obtained demographic and clinical data from 1690 inpatients with SCZ. All psychiatric symptoms and cognitive functioning were assessed by the Positive and Negative Syndrome Scale (PANSS), the Mini-Mental State Examination (MMSE), and the Repeated Battery for the Assessment of Neuropsychological Status (RBANS). Hemoglobin (HGB) values as well as red blood cell (RBC) counts were collected by routine blood tests.

Results

The proportion of anemia in patients with SCZ was 26.36 % (383/1453). Compared to SCZ patients without anemia, SCZ patients with anemia were older, had a lower bodyweight, a smaller waist circumference and lower apolipoprotein B levels, but longer QT intervals. Further logistic regression analysis revealed that anemia was associated with age, gender, and weight. In addition, there was no difference in cognitive function between SCZ patients with and without anemia.

Conclusion

Our findings suggest a high proportion of anemia in patients with chronic SCZ in the Han Chinese population. Several demographic and clinical variables are associated with anemia in SCZ patients.

Predictors for Failed Removal of Nasogastric Tube in Patients With Brain Insult

OBJECTIVE

To construct a prognostic model for unsuccessful removal of nasogastric tube (NGT) was the aim of our study.

METHODS

This study examined patients with swallowing disorders receiving NGT feeding due to stroke or traumatic brain injury in a regional hospital. Clinical data was collected, such as age, sex, body mass index (BMI), level of activities of daily living (ADLs) dependence. Additionally, gather information regarding the enhancement in Functional Oral Intake Scale (FOIS) levels and the increase in food types according to the International Dysphagia Diet Standardization Initiative (IDDSI) after one month of swallowing training. A stepwise logistic regression analysis model was employed to predict NGT removal failure using these parameters.

RESULTS

Out of 203 patients, 53 patients (26.1%) had experienced a failed removal of NGT after six months of follow-up. The strongest predictors for failed removal were age over 60 years, underweight BMI, total dependence in ADLs, and ischemic stroke. The admission prediction model categorized patients into high, moderate, and low-risk groups for removal failure. The failure rate of NGT removal was high not only in the high-risk group but also in the moderate-risk groups when there was no improvement in FOIS levels and IDDSI food types.

CONCLUSION

Our predictive model categorizes patients with brain insults into risk groups for swallowing disorders, enabling advanced interventions such as percutaneous endoscopic gastrostomy for high-risk patients struggling with NGT removal, while follow-up assessments using FOIS and IDDSI aid in guiding rehabilitation decisions for those at moderate risk.

Recurrent Psychotic Depression Associated with Chronic Subdural Haematoma: A Case Report

Chronic subdural hematomas (CSDH) with isolated psychiatric presentation are rare. In this paper, we report a case of 77-year-old-female patient who had psychotic depression after repetitive head trauma without any neurological symptoms. The brain magnetic resonance imaging revealed an 20 mm subdural hematoma in the right frontoparietal region and a 7 mm subdural hematoma in the left frontal region. The psychiatric symptoms improved within the first week after evacuation but relapsed with the occurrence of right sided pneumocephalus. In the follow up, with the disappearance of the pneumocephalus, the psychiatric symptoms improved. It should be kept in mind that isolated psychiatric symptoms can be seen due to subdural hematoma and evacuation of the hematoma has an important role in improving the psychiatric symptoms.

The role of digestive system diseases in cerebrovascular disease: a comprehensive Mendelian randomization study

Background

Cerebrovascular disease, among the most prevalent neurological disorders, poses a substantial threat to human health with its elevated mortality and disability rates, placing considerable strain on healthcare systems. Although several studies in recent years have suggested a potential association between digestive system diseases and cerebrovascular diseases, the findings remain inconsistent.

Methods

Genome-wide association study (GWAS) summary data for 12 digestive diseases and cerebrovascular diseases were used to conduct Mendelian randomization (MR) analysis. In this investigation, we endeavored to elucidate the causal relationship between digestive system diseases and cerebrovascular diseases. Employing a comprehensive approach, including two-sample MR (TSMR), multivariate MR (MVMR), and two-step MR analysis, we leveraged summary statistics data obtained from published GWAS. The primary analysis method employed was inverse variance weighted (IVW), with MR-Egger and weighted median (WM) as secondary methods. Sensitivity analysis included heterogeneity testing, horizontal multivariate testing, MR-PRESSO, and a "leave-one-out" method. Additionally, the F-statistic was utilized to assess the strength of instrumental variables, ensuring robust results.

Results

In the TSMR analysis, this study found a significant causal relationship between genetically predicted gastroesophageal reflux disease (GERD) and any stroke (AS), any ischemic stroke (AIS), large-artery atherosclerotic stroke (LAS), intracranial aneurysm (IA), and subarachnoid hemorrhage (SAH). In MVMR analysis, this study found that even after adjusting for systolic blood pressure (SBP), body mass index (BMI) and type 2 diabetes (T2D), the causal relationship remains exist. In the two-step MR mediation analysis, it was found that BMI, SBP and T2D play mediating role in the causal relationship between GERD and cerebrovascular diseases.

Conclusion

This study indicates a clear positive causal relationship between GERD and cerebrovascular diseases, and this causal association remains significant even after adjusting for BMI, SBP and T2D. The mediation MR analysis suggests that BMI, SBP and T2D may mediate the causal relationship between GERD and the risk of cerebrovascular diseases.

Cognitive impairment and hippocampal neuronal damage in β-thalassaemia mice

β-Thalassaemia is one of the most common genetic diseases worldwide. During the past few decades, life expectancy of patients has increased significantly owing to advance in medical treatments. Cognitive impairment, once has been neglected, has gradually become more documented. Cognitive impairment in β-thalassaemia patients is associated with natural history of the disease and socioeconomic factors. Herein, to determined effect of β-thalassaemia intrinsic factors, 22-month-old β-thalassaemia mouse was used as a model to assess cognitive impairment and to investigate any aberrant brain pathology in β-thalassaemia. Open field test showed that β-thalassaemia mice had decreased motor function. However, no difference of neuronal degeneration in primary motor cortex, layer 2/3 area was found. Interestingly, impaired learning and memory function accessed by a Morris water maze test was observed and correlated with a reduced number of living pyramidal neurons in hippocampus at the CA3 region in β-thalassaemia mice. Cognitive impairment in β-thalassaemia mice was significantly correlated with several intrinsic β-thalassaemic factors including iron overload, anaemia, damaged red blood cells (RBCs), phosphatidylserine (PS)-exposed RBC large extracellular vesicles (EVs) and PS-exposed medium EVs. This highlights the importance of blood transfusion and iron chelation in β-thalassaemia patients. In addition, to improve patients' quality of life, assessment of cognitive functions should become part of routine follow-up.

Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis

OBJECTIVE

Decision for intervention in acute subdural hematoma patients is based on a combination of clinical and radiographic factors. Age has been suggested as a factor to be strongly considered when interpreting midline shift (MLS) and hematoma volume data for assessing critical clinical severity during operative intervention decisions for acute subdural hematoma patients. The objective of this study was to demonstrate the use of an automated volumetric analysis tool to measure hematoma volume and MLS and quantify their relationship with age.

METHODS

A total of 1789 acute subdural hematoma patients were analyzed using qER-Quant software (Qure.ai, Mumbai, India) for MLS and hematoma volume measurements. Univariable and multivariable regressions analyzed association between MLS, hematoma volume, age, and MLS:hematoma volume ratio.

RESULTS

In comparison to young patients (≤ 70 years), old patients (>70 years) had significantly higher average hematoma volume (old: 62.2 mL vs. young 46.8 mL, P < 0.0001), lower average MLS (old: 6.6 mm vs. young: 7.4 mm, P = 0.025), and lower average MLS:hematoma volume ratio (old: 0.11 mm/mL vs. young 0.15 mm/mL, P < 0.0001). Young patients had an average of 1.5 mm greater MLS for a given hematoma volume in comparison to old patients. With increasing age, the ratio between MLS and hematoma volume significantly decreases (P = 0.0002).

CONCLUSIONS

Commercially available, automated, artificial intelligence (AI)-based tools may be used for obtaining quantitative radiographic measurement data in patients with acute subdural hematoma. Our quantitative results are consistent with the qualitative relationship previously established between age, hematoma volume, and MLS, which supports the validity of using AI-based tools for acute subdural hematoma volume estimation.

Anterior cervical discectomy and fusion for the treatment of pediatric Hirayama disease

PURPOSE

Hirayama disease, a rare cervical myelopathy in children and young adults, leads to progressive upper limb weakness and muscle loss. Non-invasive external cervical orthosis has been shown to prevent further neurologic decline; however, this treatment modality has not been successful at restoring neurologic and motor function, especially in long standing cases with significant weakness. The pathophysiology remains not entirely understood, complicating standardized operative guidelines; however, some studies report favorable outcomes with internal fixation. We report a successful surgically treated case of pediatric Hirayama disease, supplemented by a systematic review and collation of reported cases in the literature.

METHODS

A review of the literature was performed by searching PubMed, Embase, and Web of Science. Full-length articles were included if they reported clinical data regarding the treatment of at least one patient with Hirayama disease and the neurologic outcome of that treatment. Articles were excluded if they did not provide information on treatment outcomes, were abstract-only publications, or were published in languages other than English.

RESULTS

Of the fifteen articles reviewed, 63 patients were described, with 59 undergoing surgery. This encompassed both anterior and posterior spinal procedures and 1 hand tendon transfer. Fifty-five patients, including one from our institution, showed improvement post-treatment. Eleven of these patients were under 18 years old.

CONCLUSION

Hirayama disease is an infrequent yet impactful cervical myelopathy with limited high-quality evidence available for optimal treatment. The current literature supports surgical decompression and stabilization as promising interventions. However, comprehensive research is crucial for evolving diagnosis and treatment paradigms.

Efficacy of transcranial direct current stimulation in patients with dysphagia after stroke: a systematic review

BACKGROUND

Swallowing is a complex function that can be disrupted after stroke. Transcranial Direct Current Stimulation (tDCS) is a non-invasive brain stimulation therapy that recently has been tested to treat stroke-related dysphagia.

METHODS

The authors performed a search in the literature to review the described evidence of the use of tDCS in dysphagia after stroke. Three electronic databases were searched. The risk of bias evaluation was carried out through the RoB-2 tool. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was also implemented.

RESULTS

Of 265 articles, only nine studies were included in this review. The most common location of the tDCS stimulation was the unaffected hemisphere (44%). Regarding the outcome measure, the Dysphagia Outcome and Severity Scale (DOSS) was the most commonly used (55%). However, due to the high heterogeneity of the protocols, and considering the differences between the types of stroke, the authors opted not to perform a metanalysis. Instead, a systematic review with a thorough analysis of each individual study and the impact of the differences to the outcomes was preferred.

CONCLUSIONS

The final considerations are that even though the majority of studies described benefits from tDCS in post-stroke dysphagia, as they present too many methodological differences, it is not possible to compare them. In addition, many articles included patients with less than 6 months after stroke, which is an important bias as the swallowing function can be recovered spontaneously within this period, turning the certainty of the evidence really low.

Successful outcome following a multimodal pelvic rehabilitation program in a woman with neurogenic bladder and bowel dysfunction: A case report

BACKGROUND

Neurogenic bladder and bowel dysfunctions lead to physical, social, and emotional disability and affects one's quality of life. Initial treatment is conservative including several rehabilitation techniques such as pelvic floor muscle training, biofeedback, electrical stimulation, and posterior tibial nerve stimulation.

OBJECTIVE

In this case report, a 45-year-old woman with neurogenic bladder and bowel dysfunction was presented.

CASE DESCRIPTION

Her urinary and fecal incontinence symptoms began twenty years before this episode of care, after an incomplete spinal cord injury secondary to spinal ependymoma and syringomyelia. She discontinued medical treatments due to side effects and ceased intermittent catheterization. A multimodal pelvic rehabilitation program was administered consisting of posterior tibial nerve stimulation, active pelvic floor muscle training accompanied by biofeedback, and electrical stimulation of pelvic floor muscles.

OUTCOMES

There were clinically important favorable differences in the scores of King's health questionnaire (reductions in symptom severity from 25 to 18 and in each of the impact of incontinence, physical and social limitations, personal relationships, sleep/energy, and severity measures from 100 to 67), pelvic floor distress inventory (decreased from 257 to 146) and female sexual function index (increased from 15.1 to 25.1) after 12 weeks of a multimodal pelvic rehabilitation program. Manual muscle tests demonstrated improvements in pelvic floor muscle strength and endurance.

CONCLUSION

A 12-week multimodal pelvic rehabilitation program reduced urinary and fecal incontinence symptoms, together with improvements in her sexual life and alleviation of neuropathic pain.

A Comprehensive Review on Navigating the Neurological Landscape of COVID-19: Insights Into Etiopathogenesis and Clinical Management

The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a global health crisis with significant neurological implications. While initially characterized by respiratory symptoms, COVID-19 has been increasingly recognized for its diverse neurological manifestations, including encephalopathy, stroke, peripheral neuropathies, and neuropsychiatric disorders. Understanding the neurological landscape of COVID-19 is essential for elucidating its pathophysiology, optimizing clinical management, and improving patient outcomes. This comprehensive review provides insights into the etiopathogenesis, clinical manifestations, diagnostic approaches, management strategies, and prognostic implications of neurological involvement in COVID-19. Mechanistic insights highlight the multifactorial nature of neurological complications involving direct viral invasion, immune-mediated mechanisms, and thrombotic events. Diagnostic challenges underscore the importance of a multidisciplinary approach to patient care, while management strategies emphasize early recognition and appropriate intervention. Long-term neurological sequelae and prognostic factors are also examined, emphasizing the need for comprehensive follow-up and rehabilitation services. Finally, recommendations for future research prioritize efforts to elucidate underlying mechanisms, identify biomarkers, and evaluate rehabilitative interventions. By addressing these challenges, we can better understand and mitigate the neurological consequences of the ongoing COVID-19 pandemic.

Robust watermark based on Schur decomposition and dynamic weighting factors

Since multimedia data are now more widely distributed in digital form and easier to copy and change, copyright protection has become an essential need. One of the most common copyright protection techniques is watermarking. Invisibility and robustness are crucial aspects of watermarking; however, many of the currently used techniques simply focus more on invisibility than how robust they are. Moreover, the trade-off between invisibility and robustness is challenging. To this end, this paper proposes a novel watermark technique that efficiently overcomes the idea of a trade-off between robustness and invisibility, thereby increasing both under most attacks. Schur decomposition and a dynamic weighting factors matrix are added to the embedding process to improve the robustness of the proposed technique. Besides that, the embedding function is improved to simultaneously maximize imperceptibility and robustness. Another key contribution of the proposed approach is its use of a trajectory-based optimization algorithm rather than the more prevalent population-based algorithms to determine the optimal scaling factors. Consequently, the proposed technique rapidly identifies the best scaling factors for the embedding function. Statistical analysis is performed using the Friedman test. Experimental results show that the proposed technique outperforms other existing techniques for different sizes, shapes, and types of watermarks.

The therapeutic potential of Wild Bitter Melon to ameliorate muscle atrophy in a murine model

Objective

Muscle atrophy due to immobility is a common complication of many diseases and a consequence of therapeutic processes. Immobility and inactivity have been shown to be associated with increased inflammation. The aim of this study was to investigate the therapeutic potential of Wild Bitter Melon (WBM) (Momordica charantia Linn) on muscle atrophy due to immobility in a mouse model.

Materials and Methods

This study was performed in two phases of atrophy and recovery on male BALB/c mice which were divided into 3 groups: control, immobilized, and experimental. The treatment period with WBM at a dose of 400 mg/kg daily by gavage was 17 days, including 7 days of being immobilized and 10 days of recovery. At the end of each phase, half of the mice from each group were examined regarding the four limb grip strength, and then histological and biochemical analyses were done.

Results

The tissue level of malondialdehyde (MDA) oxidative stress index in the atrophy phase in the atrophy group (5.4567±0.522) nmol/g compared to the control group (3.455±0.065) nmol significantly (p 0.001) <) increased. Also, the tissue level of MDA in the WBM group (3.87±0.035) showed a significant decrease compared to the atrophy group (p<0.01). The strength percentage of four limbs in the mice of the treatment group (-23.46±2.45) was significantly higher than that of the atrophy group (-30.60±3.15) at the end of the atrophy phase.

Conclusion

The results suggest that the use of WBM reduces the degree of inflammation, oxidative stress and muscle damage, as well as muscle atrophy, which may improve the muscle atrophy in mice.

Iron homeostasis in older adults: balancing nutritional requirements and health risks

Iron plays a crucial role in many physiological processes, including oxygen transport, bioenergetics, and immune function. Iron is assimilated from food and also recycled from senescent red blood cells. Iron exists in two dietary forms: heme (animal based) and non-heme (mostly plant based). The body uses iron for metabolic purposes, and stores the excess mainly in splenic and hepatic macrophages. Physiologically, iron excretion in humans is inefficient and not highly regulated, so regulation of intestinal absorption maintains iron homeostasis. Iron losses occur at a steady rate via turnover of the intestinal epithelium, blood loss, and exfoliation of dead skin cells, but overall iron homeostasis is tightly controlled at cellular and systemic levels. Aging can have a profound impact on iron homeostasis and induce a dyshomeostasis where iron deficiency or overload (sometimes both simultaneously) can occur, potentially leading to several disorders and pathologies. To maintain physiologically balanced iron levels, reduce risk of disease, and promote healthy aging, it is advisable for older adults to follow recommended daily intake guidelines and periodically assess iron levels. Clinicians can evaluate body iron status using different techniques but selecting an assessment method primarily depends on the condition being examined. This review provides a comprehensive overview of the forms, sources, and metabolism of dietary iron, associated disorders of iron dyshomeostasis, assessment of iron levels in older adults, and nutritional guidelines and strategies to maintain iron balance in older adults.

Individualized prevention of proton pump inhibitor related adverse events by risk stratification

Proton pump inhibitors (PPIs) are commonly used for gastric acid-related disorders, but their safety profile and risk stratification for high-burden diseases need further investigation. Analyzing over 2 million participants from five prospective cohorts from the US, the UK, and China, we found that PPI use correlated with increased risk of 15 leading global diseases, such as ischemic heart disease, diabetes, respiratory infections, and chronic kidney disease. These associations showed dose-response relationships and consistency across different PPI types. PPI-related absolute risks increased with baseline risks, with approximately 82% of cases occurring in those at the upper 40% of the baseline predicted risk, and only 11.5% of cases occurring in individuals at the lower 50% of the baseline risk. While statistical association does not necessarily imply causation, its potential safety concerns suggest that personalized use of PPIs through risk stratification might guide appropriate decision-making for patients, clinicians, and the public.

Serum markers of neuroinflammation and oxidative stress in modeling spinal injury of various genesis

Aim. To evaluate changes in the concentration of molecules that mark the neurodegenerative process, experimental spinal cord injuries (SCI) of various origins were studied.

Materials and methods. SCI was modeled in six-month-old male Wistar rats by exposing the T10 vertebra to: carbon dioxide under a pressure of 2 N/cm2 (pneumocontusion); free-falling load of three weights of 1.12 N/cm2, 1.68 N/cm2, 1.96 N/cm2 (contusion injury); compression with forceps (compression injury); partial hemisection of the spinal cord; mechanical laminectomy using a mechanical drill. There were 6 rats in each group, including the intact control group. On the 28th day after a single application of SCI in rats, the concentrations of tumor necrosis factor-alpha (TNF-α), interleukin 6 (IL-6), albumin, thiobarbituric acid reactive substances (TBA-RS) and superoxide dismutase activity were assessed in the blood serum.

Results. When modeling SCI of various origins in rats, the serum concentration of TNF-α increased (from 115.5% (p < 0.05) in mild contusion to 234.5% (p < 0.05) in compression trauma compared to intact control) as well as IL-6 (from 49.2% (p < 0.05) in mechanical laminectomy to 89.8% (p < 0.05) in hemisection compared with intact control), suggesting activation of inflammatory reactions. The concentration of albumin in the blood serum of rats with SCI was lower than that of intact animals, especially in the hemisection group – by 41.9% (p < 0.05). Animals with SCI had an increase in TBA-RS concentration ranging from 103.2% (p < 0.05) in mild contusion and compression to 135.5% (p < 0.05) in pneumocontusion, and a decrease in superoxide dismutase activity ranging from 26.3% (p < 0.05) in laminectomy to 31.7% (p < 0.05) in hemisection. At the same time, injuries caused by spinal compression and hemisection led to a more pronounced activation of the inflammatory process, as evidenced by the increased TNF-α content compared to other variants of SCI modeling.

Conclusion. All SCI simulations resulted in equivalent activation of oxidative stress, while inflammation is more pronounced when reproducing compression injury and injury caused by spinal hemisection.

Neurocognitive Impairment and Social Cognition in Parkinson's Disease Patients

In addition to motor symptoms, neurocognitive impairment (NCI) affects patients with prodromal Parkinson's disease (PD). NCI in PD ranges from subjective cognitive complaints to dementia. The purpose of this review is to present the available evidence of NCI in PD and highlight the heterogeneity of NCI phenotypes as well as the range of factors that contribute to NCI onset and progression. A review of publications related to NCI in PD up to March 2023 was performed using PubMed/Medline. There is an interconnection between the neurocognitive and motor symptoms of the disease, suggesting a common underlying pathophysiology as well as an interconnection between NCI and non-motor symptoms, such as mood disorders, which may contribute to confounding NCI. Motor and non-motor symptom evaluation could be used prognostically for NCI onset and progression in combination with imaging, laboratory, and genetic data. Additionally, the implications of NCI on the social cognition of afflicted patients warrant its prompt management. The etiology of NCI onset and its progression in PD is multifactorial and its effects are equally grave as the motor effects. This review highlights the importance of the prompt identification of subjective cognitive complaints in PD patients and NCI management.

Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

BACKGROUND

Artificial intelligence (AI) has garnered considerable attention in the context of sepsis research, particularly in personalized diagnosis and treatment. Conducting a bibliometric analysis of existing publications can offer a broad overview of the field and identify current research trends and future research directions.

OBJECTIVE

The objective of this study is to leverage bibliometric data to provide a comprehensive overview of the application of AI in sepsis.

METHODS

We conducted a search in the Web of Science Core Collection database to identify relevant articles published in English until August 31, 2023. A predefined search strategy was used, evaluating titles, abstracts, and full texts as needed. We used the Bibliometrix and VOSviewer tools to visualize networks showcasing the co-occurrence of authors, research institutions, countries, citations, and keywords.

RESULTS

A total of 259 relevant articles published between 2014 and 2023 (until August) were identified. Over the past decade, the annual publication count has consistently risen. Leading journals in this domain include Critical Care Medicine (17/259, 6.6%), Frontiers in Medicine (17/259, 6.6%), and Scientific Reports (11/259, 4.2%). The United States (103/259, 39.8%), China (83/259, 32%), United Kingdom (14/259, 5.4%), and Taiwan (12/259, 4.6%) emerged as the most prolific countries in terms of publications. Notable institutions in this field include the University of California System, Emory University, and Harvard University. The key researchers working in this area include Ritankar Das, Chris Barton, and Rishikesan Kamaleswaran. Although the initial period witnessed a relatively low number of articles focused on AI applications for sepsis, there has been a significant surge in research within this area in recent years (2014-2023).

CONCLUSIONS

This comprehensive analysis provides valuable insights into AI-related research conducted in the field of sepsis, aiding health care policy makers and researchers in understanding the potential of AI and formulating effective research plans. Such analysis serves as a valuable resource for determining the advantages, sustainability, scope, and potential impact of AI models in sepsis.