Diagnosis Of Disorders Research Articles

Capsules for the Diagnosis and Treatment of Gastrointestinal Motility Disorders- A Game Changer.

Over the last few decades, there have been remarkable strides in endoscopy and radiological imaging that have advanced gastroenterology. However, the management of neurogastroenterological disorders has lagged behind, in part handicapped by the use of catheter-based manometry that is both non-physiological and uncomfortable. The advent of capsule technology has been a game changer for both diagnostic and therapeutic applications. Here, we discuss several capsule devices that are available or under investigation. There are three technologies that are FDA approved. Wireless motility capsule measures pH and pressure and provides clinically impactful information regarding gastric, small intestine and colonic transit, without radiation that has been demonstrated to guide management of gastroparesis, dyspepsia and constipation. Wireless ambulatory pH monitoring capsule is currently the gold standard for assessing gastroesophageal acid reflux. In the therapeutics arena, an orally ingested vibrating capsule has been recently FDA approved for the treatment of chronic constipation, supported by a robust phase 3 clinical trial which showed significant improvement in constipation symptoms and quality of life. There are several capsules currently under investigation. Smart capsule bacterial detection system and Capscan® are capsules that can sample fluid in the small or large bowel and provide microbiome analysis for detection of small intestinal bacterial (SIBO) or fungal overgrowth (SIFO). Another investigational gas sensing capsule analyzing hydrogen, CO2, volatile fatty acids and capsule orientation, can measure regional gut transit time and luminal gas concentrations and assess gastroparesis, constipation or SIBO. Therapeutically, other vibrating capsules are in development. Innovations in capsule technology are poised to transform our ability to investigate gut function physiologically, and non-invasively deliver targeted treatment(s), thereby providing both accurate diagnostic information and luminally-directed, safe therapy.

Lifelong greenspace exposure and ADHD in Polish children: Role of physical activity and perceived neighbourhood characteristics

Previous research found a protective association between greenspace exposure and attention deficit hyperactivity disorder (ADHD) diagnosis, but previous studies did not investigate mediatory pathways involving child physical activity (PA) and environmental perceptions. Here, we examined the association between lifelong exposure to greenspace and ADHD diagnosis and potential underlying mechanisms (i.e., perceived greenspace, PA, neighbourhood social cohesion, and neighbourhood safety) in children aged 10-13 with and without ADHD. The sample (N = 689) was collected within the NeuroSmog case-control study, where children with (N = 203) and without ADHD (N = 486) were recruited from 18 towns in Southern Poland. ADHD diagnosis was ascertained according to the International Classification of Diseases 11th Revision criteria. Greenspace exposure was defined as the percentage of grass and tree cover in 500 m and 1 km buffers around lifelong residential addresses, respectively. Parents reported information about the availability of domestic garden and data on potential mediators was collected with questionnaires. Structural equation modeling was used to examine hypothesized pathways, and their interplay, linking the three greenspace measures to ADHD. We found that greenspace was indirectly related to ADHD diagnosis: tree cover was positively related to PA, and PA was subsequently negatively related to ADHD diagnosis. Tree cover and garden were both associated with higher levels of perceived greenspace, which in turn related to stronger perceptions of neighbourhood social cohesion. Our findings suggest that exposure to greenspace may lead to lower likelihood of ADHD diagnosis indirectly through PA. These findings highlight how providing children with better access to natural environments for PA may support normal neurodevelopment.

Safety and efficacy of inebilizumab for the treatment of neuromyelitis optica spectrum disorder: end-of-study results from the open-label period of the N-MOmentum trial

Inebilizumab, an anti-CD19 B-cell-depleting antibody, demonstrated safety and efficacy in neuromyelitis optica spectrum disorder in the randomised controlled period of the N-MOmentum trial. Here, end-of-study data, including the randomised controlled period and open-label extension period, are reported. In the double-blind, randomised, placebo-controlled, phase 2/3 N-MOmentum trial, adults aged 18 years and older with an neuromyelitis optica spectrum disorder diagnosis, Expanded Disability Status Scale score of 8·0 or less, and history of either at least one acute inflammatory attack requiring rescue therapy in the past year or two attacks requiring rescue therapy in the past 2 years, were recruited from 81 outpatient specialty clinics or hospitals in 24 countries. Eligible participants were randomly assigned (3:1), using a central interactive voice system or interactive web response system, and a permuted block randomisation scheme (block size of 4), to receive intravenous inebilizumab (300 mg) or identical placebo on days 1 and 15 of the randomised period, which lasted up to 197 days. Participants and all study staff were masked to treatment assignment. The primary endpoint of the randomised period of the trial was time to onset of adjudicated neuromyelitis optica spectrum disorder attack on or before day 197. Participants in the randomised controlled period who had an adjudicated attack, completed 197 days in the study, or were in the randomised controlled period when enrolment stopped, could voluntarily enter the open-label period. In the open-label period, participants either initiated inebilizumab if assigned placebo (receiving 300 mg on days 1 and 15 of the open-label period) or continued treatment if assigned inebilizumab (receiving 300 mg on day 1 and placebo on day 15, to maintain B-cell depletion and masking of the randomised controlled period). All participants subsequently received inebilizumab 300 mg every 6 months for a minimum of 2 years. The end-of-study analysis endpoints were time to adjudicated attack and annualised attack rate (assessed in all participants who received inebilizumab at any point during the randomised controlled period or open-label period [any inebilizumab population] and the aquaporin-4 [AQP4]-IgG seropositive subgroup [any inebilizumab-AQP4-IgG seropositive population]) and safety outcomes (in all participants who were exposed to inebilizumab, analysed as-treated). This study is registered with ClinicalTrials.gov, NCT02200770, and is now complete. Between Jan 6, 2015, and Sept 24, 2018, 467 individuals were screened, 231 were randomly assigned, and 230 received at least one dose of inebilizumab (n=174) or placebo (n=56). Between May 19, 2015, and Nov 8, 2018, 165 (95%) of 174 participants in the inebilizumab group and 51 (91%) of 56 in the placebo group entered the open-label period (mean age 42·9 years [SD 12·4], 197 [91%] of 216 were female, 19 [9%] were male, 115 [53%] were White, 45 [21%] were Asian, 19 [9%] were American Indian or Alaskan Native, and 19 [9%] were Black or African American). As of data cutoff for this end of study analysis (Dec 18, 2020; median exposure 1178 days [IQR 856-1538], total exposure of 730 person-years) 225 participants formed the any inebilizumab population, and 208 (92%) participants were AQP4-IgG seropositive. Overall, 63 adjudicated neuromyelitis optica spectrum disorder attacks occurred in 47 (21%) of 225 treated participants (60 attacks occurred in 44 [21%] of 208 in the AQP4-IgG seropositive subgroup); 40 (63%) of 63 attacks occurred in 34 (15%) of 225 treated participants during the first year of treatment. Of individuals who had an adjudicated attack while receiving inebilizumab, 36 (77%) of 47 were subsequently attack-free at the end of 4 years. Annualised attack rates decreased year-on-year, with end-of-study adjusted annualised attack rates being similar in the any inebilizumab-AQP4-IgG seropositive subgroup (0·097 [95% CI 0·070-0·14]) and any inebilizumab populations (0·092 [0·067-0·13]). Overall, 208 (92%) of 225 participants who received any inebilizumab had at least one treatment-emergent adverse event, the most frequent of which were urinary tract infection (59 [26%]), nasopharyngitis (47 [21%]), and arthralgia (39 [17%]). Infection rates did not increase over 4 years. Three (1%) of 225 participants in the any inebilizumab population died during the open-label period (one each due to a CNS event of unknown cause and pneumonia, respiratory insufficiency resulting from an neuromyelitis optica spectrum disorder attack and viral pneumonia related to COVID-19), all of which were deemed to be unrelated to treatment. Data from the end-of-study analysis of the N-MOmentum trial showed continued and sustained clinical benefits of long-term inebilizumab treatment in individuals with neuromyelitis optica spectrum disorder, which supports the role of inebilizumab as a CD19+ B-cell-depleting therapy in neuromyelitis optica spectrum disorder. MedImmune and Viela Bio/Horizon Therapeutics, now part of Amgen.

Clinic-Based Characterization of Adolescents and Young Adults With Migraine: Psychological Functioning, Headache Days, and Disability.

This cross-sectional observational study retrospectively examined clinical data collected from adolescents and young adults (AYAs) seeking care in a specialty headache clinic. We characterized participants' headache characteristics and psychological functioning and examined the association between self-reported anxiety and depressive symptoms and headache frequency, severity, and disability. During their clinic visit, AYAs (M age = 18.36; range = 14-32, 79.5% female) completed an intake questionnaire and reported about their headache characteristics (i.e., frequency, severity, and duration of symptoms in months), mental health history (i.e., previous diagnosis of an anxiety or depressive disorder), and utilization of emergency department (ED) services for migraine. AYAs also completed psychometrically validated screening tools for anxiety and depressive symptoms (i.e., the GAD-7 and PHQ-9). We computed descriptive statistics and examined associations among scores on psychological measures and headache characteristics, including migraine-related disability. We also tested whether individuals with clinically elevated GAD-7 and PHQ-9 scores had higher levels of disability relative to those with fewer/subclinical levels of anxiety and depressive symptoms. Participants (N = 283) reported more than 19 headache days per month on average, with more than 90% describing their average headache intensity as moderate or severe. Nearly half of AYAs reported severe headache-related disability. Approximately one-quarter of AYAs reported a previous diagnosis anxiety or depressive disorder diagnosis, and more than one-third scored above clinical cutoffs on the PHQ-9 and GAD-7. Higher scores on both psychological screening instruments were associated with greater headache frequency. More than 10% of patients endorsed current suicidal ideation; this was not related to headache-related disability. Participants reported a high degree of ED utilization for headache; these rates were unrelated to endorsement of psychological comorbidities. In this sample of AYAs, headache characteristics were generally unrelated to scores on measures on psychological functioning. However, the observed rates of clinically elevated anxiety/depressive symptoms and suicidality in this sample of AYAs underscore the importance of screening for psychological comorbidities in neurology clinics that serve this age group, irrespective of self-reported disability. Results also emphasize the need to expand access to behavioral health services for AYAs with headache disorders and the importance of incorporating a biopsychosocial perspective to the transition of health care from pediatrics to adult neurology practice.

Sleep and circadian rhythm dysfunctions in movement disorders beyond Parkinson's disease and atypical parkinsonisms.

This review aimed to comprehensively outline sleep and circadian rhythm abnormalities in hyperkinetic movement disorders beyond Parkinson's disease and atypical parkinsonisms, including tremor, dystonia, choreiform movements, tics, and ataxia disorders. Insomnia, poor sleep quality, and excessive daytime sleepiness (EDS) are commonly reported in essential tremor, Wilson's disease, tics or Tourette's syndrome, and spinocerebellar ataxia (SCA). REM sleep behavior disorder (RBD) have been observed in Wilson's disease and SCA. A combination of REM and non-REM parasomnias, along with nocturnal stridor with the initiation of sleep and re-entering after awakening, are characterized by undifferentiated Non-REM and poorly structured N2 in anti-IgLON5 disease. Restless legs syndrome (RLS) has been reported commonly in SCAs. Sleep-related dyskinesia has been reported in ADCY5-related disease and GNAO1-related movement disorder. Sleep problems can manifest as a result of movement disorders, either through direct motor disturbances or secondary nonmotor symptoms. Medication effects must be considered, as certain medications for movement disorders can exacerbate or alleviate sleep disturbances. Distinguishing sleep problems in some diseases might involve pathognomonic symptoms and signs, aiding in the diagnosis of movement disorders.

Trajectories of capacity development of doubly exceptional children. A key case analysis

The article addresses the development of the abilities of ‘doubly exceptional’ individuals,i.e. those with both abilities and deficits, disorders or disabilities. This topic is relevantbecause inaccurate diagnoses and the lack of effective psycho-pedagogical and substantiveinterventions hamper support for the development of the abilities of such individuals.The study aimed to obtain characteristics of the trajectory of the development of abilitiesof doubly exceptional children, i.e. those with directional abilities and disorders. Ina qualitative longitudinal study conducted among parents of gifted children, three criticalcases were identified that meet the criteria for ‘double exceptionality’ (parental nominationsindicating possession of directional abilities and a diagnosis of ADHD and autismspectrum disorder – Asperger’s syndrome). An analysis of the trajectory of ability developmentaccording to the Mega Model categories was conducted. The results indicate low opportunities for the development of directional abilities, typical of parents’ nominationsof early school-age children (musical, artistic), a common reason for which inhibitorsrelate to children’s psychosocial characteristics and environmental constraints dueto the specifics of the family and school. The study revealed the lack of support in theeducational environment towards the doubly exceptional children characterised by theirparents in terms of their directional predispositions. Less typical predispositions specificto a particular child (literary creativity, computer science) developed with the support ofthe family and the school, although not supported by objective achievements, are developedand are likely to represent, for the biographies analysed, significant reinforcement ineducational and professional functioning.

Autism Spectrum Disorder Diagnoses and Congenital Cytomegalovirus.

To examine the association between congenital cytomegalovirus (cCMV) and autism spectrum disorder (ASD) administrative diagnoses in US children. Cohort study using 2014 to 2020 Medicaid claims data. We used diagnosis codes to identify cCMV (exposure), ASD (outcome), and covariates among children enrolled from birth through ≥4 to <7 years. Covariates include central nervous system (CNS) anomaly or injury diagnosis codes, including brain anomaly, microcephaly within 45 days of birth, cerebral palsy, epilepsy, or chorioretinitis. We used Cox proportional hazards regression models to estimate hazard ratios and 95% confidence intervals, overall and stratified by sex, birth weight and gestational age outcome (low birth weight or preterm birth), and presence of CNS anomaly or injury. Among 2 989 659 children, we identified 1044 (3.5 per 10 000) children with cCMV and 74 872 (25.0 per 1000) children with ASD. Of those with cCMV, 49% also had CNS anomaly or injury diagnosis codes. Children with cCMV were more likely to have ASD diagnoses (hazard ratio: 2.5; 95% confidence interval: 2.0-3.2, adjusting for birth year, sex, and region). This association differed by sex and absence of CNS anomaly or injury but not birth outcome. Children with (versus without) cCMV diagnoses in Medicaid claims data, most of whom likely had symptomatic cCMV, were more likely to have ASD diagnoses. Future research investigating ASD risk among cohorts identified through universal cCMV screening may help elucidate these observed associations.

Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants.

Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record data. We developed phenotype algorithms for the identification of opioid-exposed infants among a population of birthing person-infant dyads from an academic health care system (2010-2022). We derived phenotype algorithms from combinations of 6 unique indicators of in utero opioid exposure, including those from the infant record (NOWS or opioid-exposure diagnosis, positive toxicology) and birthing person record (opioid use disorder diagnosis, opioid drug exposure record, opioid listed on medication reconciliation, positive toxicology). We determined the positive predictive value (PPV) and 95% confidence interval for each phenotype algorithm using medical record review as the gold standard. Among 41 047 dyads meeting exclusion criteria, we identified 1558 infants (3.80%) with evidence of at least 1 indicator for opioid exposure and 32 (0.08%) meeting all 6 indicators of the phenotype algorithm. Among the sample of dyads randomly selected for review (n = 600), the PPV for the phenotype requiring only a single indicator was 95.4% (confidence interval: 93.3-96.8) with varying PPVs for the other phenotype algorithms derived from a combination of infant and birthing person indicators (PPV range: 95.4-100.0). Opioid-exposed infants can be accurately identified using electronic health record data. Our publicly available phenotype algorithms can be used to conduct research examining outcomes among opioid-exposed infants with and without NOWS.

Addressing Diagnosis, Management, and Complication Challenges in Placenta Accreta Spectrum Disorder: A Descriptive Study

Introduction: In light of increased cesarean section rates, the incidence of placenta accreta spectrum (PAS) disorder is increasing. Despite the establishment of clinical practice guidelines offering recommendations for early and effective PAS diagnosis and treatment, antepartum diagnosis of PAS remains a challenge. This ultimately risks poor mental health and poor physical maternal and neonatal health outcomes. Case Descriptions: This case series details the experience of two high-risk patients who remained undiagnosed for PAS until they presented with antenatal hemorrhage, leading ultimately to necessary, complex surgical interventions, which can only be optimally provide in a tertiary care center. Patient 1 is a 37-year-old woman with a history of three cesarean sections, which elevates her risk for PAS. She had placenta previa detected at 19 weeks, and placenta percreta diagnosed upon hemorrhage. During a hysterectomy, invasive placenta was found in the patient’s bladder, leading to a cystotomy and right ureteric reimplantation. After discharge, she was diagnosed with a vesicovaginal fistula, and is currently awaiting surgical repair. Patient 2 is a 34-year-old woman with two previous cesarean sections. The patient had complete placenta previa detected at 19- and 32-week gestation scans. She presented with antepartum hemorrhage at 35 weeks and 2 days. An ultrasound showed thin myometrium at the scar site with significant vascularity. A hysterectomy was performed due to placental attachment issues, with significant blood loss. Both patients were at high risk for PAS based on past medical history, risk factors, and pathognomonic imaging findings. Discussion: We highlight the importance of the implementation of clinical guidelines at non-tertiary healthcare centers. We offer clinical-guideline-informed recommendations for radiologists and antenatal care providers to promote early PAS diagnosis and, ultimately, better patient and neonatal outcomes through increased access to adequate care.

Attention deficit hyperactivity disorder in children with epilepsy: a multicenter cross-sectional analysis in China.

The diagnosis and treatment of attention deficit hyperactivity disorder (ADHD) comorbid with epilepsy have been insufficiently addressed in China. We conducted a study in China to investigate the current status, diagnosis, and treatment of ADHD in children to further our understanding of ADHD comorbid with epilepsy, strengthen its management, and improve patients' quality of life. We carried out a multicenter cross-sectional survey of children with epilepsy across China between March2022 and August2022. We screened all patients for ADHD and compared various demographic and clinical factors between children with and without ADHD, including gender, age, age at epilepsy onset, duration of epilepsy, seizure types, seizure frequency, presence of epileptiform discharges, and treatment status. Our objective was to explore any possible associations between these characteristics and the prevalence of ADHD. Overall, 395 epilepsy patients aged 6-18years were enrolled. The age at seizure onset and duration of epilepsy ranged from 0.1-18 to 0.5-15years, respectively. Focal onset seizures were observed in 212 (53.6%) patients, while 293 (76.3%) patients had epileptiform interictal electroencephalogram (EEG) abnormalities. Among the 370 patients treated with anti-seizure medications, 200 (54.1%) had monotherapy. Although 189 (47.8%) patients had ADHD, only 31 received treatment for it, with the inattentive subtype being the most common. ADHD was more common in children undergoing polytherapy compared to those on monotherapy. Additionally, poor seizure control and the presence of epileptiform interictal EEG abnormalities may be associated with a higher prevalence of ADHD. While the prevalence of ADHD was higher in children with epilepsy than in normal children, the treatment rate was notably low. This highlights the need to give more importance to the diagnosis and treatment of ADHD in children with epilepsy.

Global modified Delphi consensus on diagnosis, phenotypes, and treatment of SCN8A-related epilepsy and/or neurodevelopmental disorders.

We aimed to develop consensus for diagnosis/management of SCN8A-related disorders. Utilizing a modified Delphi process, a global cohort of experienced clinicians and caregivers provided input on diagnosis, phenotypes, treatment, and management of SCN8A-related disorders. A Core Panel (13 clinicians, one researcher, six caregivers), divided into three subgroups (diagnosis/phenotypes, treatment, comorbidities/prognosis), performed a literature review and developed questions for the modified Delphi process. Twenty-eight expert clinicians, one researcher, and 13 caregivers from 16 countries participated in the subsequent three survey rounds. We defined consensus as follows: strong consensus, ≥80% fully agree; moderate consensus, ≥80% fully/partially agree, <10% disagree; and modest consensus, 67%-79% fully/partially agree, <10% disagree. Early diagnosis is important for long-term clinical outcomes in SCN8A-related disorders. There are five phenotypes: three with early seizure onset (severe developmental and epileptic encephalopathy [DEE], mild/moderate DEE, self-limited (familial) infantile epilepsy [SeL(F)IE]) and two with later/no seizure onset (neurodevelopmental delay with generalized epilepsy [NDDwGE], NDD without epilepsy [NDDwoE]). Caregivers represented six patients with severe DEE, five mild/moderate DEE, one NDDwGE, and one NDDwoE. Phenotypes vary by age at seizures/developmental delay onset, seizure type, electroencephalographic/magnetic resonance imaging findings, and first-line treatment. Gain of function (GOF) versus loss of function (LOF) is valuable for informing treatment. Sodium channel blockers are optimal first-line treatment for GOF, severe DEE, mild/moderate DEE, and SeL(F)IE; levetiracetam is relatively contraindicated in GOF patients. First-line treatment for NDDwGE is valproate, ethosuximide, or lamotrigine; sodium channel blockers are relatively contraindicated in LOF patients. This is the first-ever global consensus for the diagnosis and treatment of SCN8A-related disorders. This consensus will reduce knowledge gaps in disease recognition and inform preferred treatment across this heterogeneous disorder. Consensus of this type allows more clinicians to provide evidence-based care and empowers SCN8A families to advocate for their children.

Investigating the association of opioid prescription with the incidence of psychiatric disorders: nationwide cohort study in South Korea.

The relationship between opioid use and the incidence of psychiatric disorders remains unidentified. This study examined the association between the incidence of psychiatric disorders and opioid use. Data for this population-based cohort study were obtained from the National Health Insurance Service of South Korea. The study included all adult patients who received opioids in 2016. The control group comprised individuals who did not receive opioids in 2016, and were selected using a 1:1 stratified random sampling procedure. Patients with a history of psychiatric disorders diagnosed in 2016 were excluded. The primary end-point was the diagnosis of psychiatric disorders, evaluated from 1 January 2017 to 31 December 2021. Psychiatric disorders included schizophrenia, mood disorders, anxiety and others. The analysis included 3 505 982 participants. Opioids were prescribed to 1 455 829 (41.5%) of these participants in 2016. Specifically, 1 187 453 (33.9%) individuals received opioids for 1-89 days, whereas 268 376 (7.7%) received opioids for ≥90 days. In the multivariable Cox regression model, those who received opioids had a 13% higher incidence of psychiatric disorder than those who did not (hazard ratio 1.13; 95% CI 1.13-1.14). Furthermore, both those prescribed opioids for 1-89 days and for ≥90 days had 13% (hazard ratio 1.13, 95% CI 1.12-1.14) and 17% (hazard ratio 1.17, 95% CI 1.16-1.18) higher incidences of psychiatric disorders, respectively, compared with those who did not receive opioids. This study revealed that increased psychiatric disorders were associated with opioid medication use. The association was significant among both short- and long-term opioid use.

Interaction of MRI Contrast Agent [Gd(DOTA)]- with Lipid Membranes: A Molecular Dynamics Study.

Contrast agents are important imaging probes in clinical MRI, allowing the identification of anatomic changes that otherwise would not be possible. Intensive research on the development of new contrast agents is being made to image specific pathological markers or sense local biochemical changes. The most widely used MRI contrast agents are based on gadolinium(III) complexes. Due to their very high charge density, they have low permeability through tight biological barriers such as the blood-brain barrier, hampering their application in the diagnosis of neurological disorders. In this study, we explore the interaction between the widely used contrast agent [Gd(DOTA)]- (Dotarem) and POPC lipid bilayers by means of molecular dynamics simulations. This metal complex is a standard reference where several chemical modifications have been introduced to improve key properties such as bioavailability and targeting. The simulations unveil detailed insights into the agent's interaction with the lipid bilayer, offering perspectives beyond experimental methods. Various properties, including the impact on global and local bilayer properties, were analyzed. As expected, the results indicate a low partition coefficient (KP) and high permeation barrier for this reference compound. Nevertheless, favorable interactions are established with the membrane leading to moderately long residence times. While coordination of one inner-sphere water molecule is maintained for the membrane-associated chelate, the physical-chemical attributes of [Gd(DOTA)]- as a MRI contrast agent are affected. Namely, increases in the rotational correlation times and in the residence time of the inner-sphere water are observed, with the former expected to significantly increase the water proton relaxivity. This work establishes a reference framework for the use of simulations to guide the rational design of new contrast agents with improved relaxivity and bioavailability and for the development of liposome-based formulations for use as imaging probes or theranostic agents.

Blue paper on Alzheimer's disease in China(Simplified Version)

With the population aging, the prevalence and mortality rate of Alzheimer's disease (AD) have been rising in China. AD has become one of the biggest threats to population health and social sustainable development. In order to support the Healthy China Initiative and promote health in China, the Blue Paper on Alzheimer's Disease in China was compiled by experts from the National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University; the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; the National Health Commission Capacity Building and Continuing Education Center; and the China Population and Development Research Center. The epidemiology, diagnosis, treatment, and control of AD and related cognitive disorders in China were reviewed in this blue paper. This work aimed to provide references for the prevention, diagnosis, treatment, and related policy formulation of AD in China. Specifically, the blue paper covered the following topics of AD and related cognitive disorders: (1)epidemiology characteristics; (2)economic burden; (3)impact factors; (4)China Brain Cognitive Health Index; (5)the diagnosis of AD and related cognitive disorders; (6)the treatment of AD and related cognitive disorders; (7)national center for cognitive disorders;(8)community prevention and control; (9)patient care; (10)public health resources for prevention and control.

P.040 Decreased incidence of neuro-autoimmune disorders during COVID-19 pandemic restrictions

Background: Infections are hypothesized to trigger certain autoimmune diseases; however, data surrounding incidence trends of pediatric neuro-autoimmune disorders during the COVID-19 pandemic are lacking. Our retrospective study thus assessed the incidence of pre-defined autoimmune disorders diagnosed at the Children’s Hospital of Eastern Ontario in Ottawa, Canada between October 2017 and June 2023. Methods: Inpatient and outpatient charts were queried to identify subjects with neuro-autoimmune disorders or type 1 diabetes (T1D) as a non-neurological autoimmune comparison group. Monthly incidences were calculated and grouped based on three COVID-19 pandemic restriction periods: the pre-restrictions period (October 2017-March 2020), intra-restrictions period (April 2020-June 2022), and post-restrictions period (July 2022-June 2023). Poisson regression models were fit to the incidence data. Results: New diagnoses of neuro-autoimmune disorders and T1D were identified in 86 and 591 subjects, respectively. Incidence of neuro-autoimmune disorders decreased significantly during the intra-pandemic restrictions period when compared to the pre-pandemic period (IRR=0.56, 95% CI: 0.32-0.93, P&lt;0.05). Albeit not statistically significant, the incidence then increased to higher than pre-pandemic levels during the post-restrictions period. T1D showed no significant changes in incidence. Conclusions: Incidence of neuro-autoimmune disorders, but not T1D, decreased during COVID-19 pandemic restrictions, which may be due to reduced transmission of key infectious triggers.

Chronic insomnia, high trait anxiety and their comorbidity as risk factors for incident type 2 diabetes mellitus

The main objective of this study was to evaluate the association of the insomnia-anxiety comorbidity with incident type 2 diabetes (T2D) in a large prospective cohort. We selected adults without diabetes at baseline from the French NutriNet-Santé cohort who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (STAI-T, 2013–2016) and a sleep questionnaire (2014); insomnia was defined according to established criteria. Using multivariable Cox models, we compared T2D risk across 4 groups: no insomnia or anxiety (reference), insomnia alone, anxiety alone (STAI-T ≥ 40), and comorbid anxiety and insomnia. Among 35,014 participants (mean baseline age: 52.4 ± 14.0 years; 76% women), 378 (1.1%) developed T2D over a mean follow-up of 5.9 ± 2.1 years. Overall, 28.5% of the sample had anxiety alone, 7.5%—insomnia alone, and 12.5%—both disorders. In the fully-adjusted model, a higher T2D risk was associated with anxiety-insomnia comorbidity (HR = 1.40; 95% CI 1.01, 1.94), but not with each disorder separately, compared to the group without insomnia or anxiety. The findings supported a positive association between anxiety-insomnia comorbidity and incident T2D among general-population adults. Future research using clinical diagnoses of mental disorders could confirm the findings and guide diabetes prevention programs.

Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques

One of the most essential components of human life is sleep. One of the first steps in spotting abnormalities connected to sleep is classifying sleep stages. Based on the kind and frequency of signals obtained during a polysomnography test, sleep phases can be separated into groups. Accurate classification of sleep stages from electroencephalogram (EEG) signals plays a crucial role in sleep disorder diagnosis and treatment. This study proposes a novel approach that combines feature selection techniques with convolutional neural networks (CNNs) to enhance the classification performance of sleep stages using EEG signals. Firstly, a comprehensive feature selection process was employed to extract discriminative features from raw EEG data, aiming to reduce dimensionality and enhance the efficiency of subsequent classification using mutual information (MI) and analysis of variance (ANOVA) after splitting the dataset into two sets—the training set (70%) and testing set (30%)—then processing it using the standard scalar method. Subsequently, a 1D-CNN architecture was designed to automatically learn hierarchical representations of the selected features, capturing complex patterns indicative of different sleep stages. The proposed method was evaluated on a publicly available EDF-Sleep dataset, demonstrating superior performance compared to traditional approaches. The results highlight the effectiveness of integrating feature selection with CNNs in improving the accuracy and reliability of sleep stage classification from EEG signals, which reached 99.84% with MI-50. This approach not only contributes to advancing the field of sleep disorder diagnosis, but also holds promise for developing more efficient and robust clinical decision support systems.

Prevalence of Cognitive and Manual Dexterity Disorders Among Men Following Artificial Urinary Sphincter Placement.

Cognitive ability and manual dexterity sufficient to operate an artificial urinary sphincter (AUS) are critical for device function and safety. We aimed to define the incidence of cognitive and/or dexterity disorders among men after AUS. We secondarily aimed to assess for association between these disorders and post-implant complications. This is a retrospective cohort study using the SEER Medicare linked database (2000-2018). We included men ≥ 66 years diagnosed with prostate cancer between 2001-2015 who subsequently underwent AUS placement. We excluded patients with < 1-year continuous fee-for-service Medicare enrollment or cognitive and/or manual dexterity disorder diagnoses prior to AUS implant. Subsequent cognitive/dexterity disorders and implant-related complications were queried using appropriate ICD9/10 and/or CPT codes. Associations between cognitive/dexterity disorders and post-implant complications were assessed using extended Cox proportional-hazards modeling. Secondary analysis focused on serious complications (device revision/removal, Fournier's gangrene, urethral erosion). We identified 1560 men who underwent AUS who met inclusion criteria. Median age was 73.0 (IQR 70-77) years. Cumulative incidence function analysis estimated 44% and 17% incidence of cognitive and manual dexterity disorder, respectively, at 15-years post-AUS. Presence of cognitive with/without manual dexterity disorder was associated with increased hazard of any, but not serious, complication during follow-up. A significant proportion of patients develop cognitive and/or manual dexterity disorders following AUS. These data support the need for close longitudinal monitoring after implant.

Multi-View and Multimodal Graph Convolutional Neural Network for Autism Spectrum Disorder Diagnosis

Autism Spectrum Disorder (ASD) presents significant diagnostic challenges due to its complex, heterogeneous nature. This study explores a novel approach to enhance the accuracy and reliability of ASD diagnosis by integrating resting-state functional magnetic resonance imaging with demographic data (age, gender, and IQ). This study is based on improving the spectral graph convolutional neural network (GCN). It introduces a multi-view attention fusion module to extract useful information from different views. The graph’s edges are informed by demographic data, wherein an edge-building network computes weights grounded in demographic information, thereby bolstering inter-subject correlation. To tackle the challenges of oversmoothing and neighborhood explosion inherent in deep GCNs, this study introduces DropEdge regularization and residual connections, thus augmenting feature diversity and model generalization. The proposed method is trained and evaluated on the ABIDE-I and ABIDE-II datasets. The experimental results underscore the potential of integrating multi-view and multimodal data to advance the diagnostic capabilities of GCNs for ASD.

Structural and Functional Characteristics of the Dorsolateral Prefrontal Cortex in Schizophrenia Spectrum Disorders and Their Associations with Onset Age

Background: the dorsolateral prefrontal cortex (DLPFC) is one of the latest brain structures to mature during the ontogeny, and its structural and functional abnormalities play an important role in the pathogenesis of schizophrenia. As schizophrenia spectrum disorders usually start before the complete brain maturation and their earlier onset is coupled with worse prognosis, we suggested that earlier illness onset is related to more pronounced aberrations of the DLPFC. The aim of study was to analyze the associations of the onset age of schizophrenia spectrum disorders with structural and functional characteristics of the DLPFC that differentiated patients with schizophrenia spectrum disorders from healthy controls. Patients and methods: male patients with a diagnosis of schizophrenia spectrum disorders (n = 82) and healthy controls (n = 86) underwent structural MRI and functional resting-state fMRI. Cortical thickness and whole-brain functional connectivity of the DLPFC as well as local coherence and amplitude of low-frequency fluctuations of haemodynamic signal in the DLPFC were analyzed. Results: patients demonstrated a decreased gray matter thickness in the DLPFC bilaterally along with aberrant (predominantly decreased) functional connectivity of the DLPFC with other brain structures in each hemisphere. These measures were not associated with the age of illness onset. Conclusions: structural and functional abnormalities revealed in this study coincide with conventional view on the DLPFC as one of the key regions in schizophrenia spectrum disorders pathogenesis, however, these aberrations were not related to the age of psychosis onset. Possible interpretations of our results and limitations of the study are discussed in the article.