Clinical Symptom Profiles Research Articles

Clinical Profile of Leg Symptoms and Reflux in the Legs From Varicose Veins Disease Reported at a Tertiary Healthcare Institute in Jharkhand, India.

Background Varicose veins, affecting 8-10% of the population, are categorized as primary or secondary, depending on the etiology. The aim of thestudy is to assess the clinical profile of leg symptoms and reflux in the legs of varicose veins disease among patients reported in a tertiary hospital. Patients and methods An institution-based cross-sectional exploratory study comprising 56 patients with reflux in legs of varicose veins disease selected through purposive sampling, conducted in the OPD (outpatient department), general surgery, AIIMS (All India Institute of Medical Sciences) Deoghar. The standardized study instrument includes the Aberdeen varicose veins questionnaire, and patients' symptoms and concerns questionnaire, followed by a brief clinical examination based on CEAP (clinical, etiological, anatomical, and pathophysiological)classification and VCSS (venous clinical severity score) for C5/6 and color-flow duplex imaging of both lower limbs. Descriptive and inferential statistics were used for data analysis using IBM SPSS Statistics for Windows, Version 23 (IBM Corp.,Armonk, NY). Results Bilateral presentation of the disease had been seen in 57.1% (n=32) participants, and the common history of present illness reported by participants included swelling along the veins (n=55, 98.2%), pain (n=51, 91.1%), and discoloration (n=33, 58.9%). The clinical grading revealed that most participants, i.e., 87.5% (n=49) had C2 and 75% (n=42) had C3 disease. The majority of participants 96.4% (n=54) suffered from primary varicose veins. Furthermore, all subjects exhibited superficial vein involvement, alongwith one individual having deep vein involvement and a few participants (n=35, 62.5%)having perforators. With this, the majority of participants (n=55, 98.2%) showed reflux pathology. Conclusion Varicose veins typically afflict men in their 40s and 50s who work in positions of extended standing. Limited awareness in the Santhal Pargana division, Jharkhand state, India may result in poor healthcare outcomes. Improving public awareness may help lessen disease-related consequences.

Clinical Manifestations of Dengue in Children and Adults in a Hyperendemic Region of Colombia.

Dengue is the most common arboviral disease in the world. Traditionally, it has affected more adults, but the incidence in children has increased in recent years. Colombia is no stranger to this change; therefore, we aimed to find the differences in signs, symptoms, and clinical, hematological, and hemogram characteristics between children under 12 years old and individuals aged 12 years and older in an endemic region of Colombia in 2020-2022. The analyses were conducted with baseline data, corresponding to a cross-sectional design. Multiple correspondence analysis was used for general, dermatological, and clinical symptom profiles. Discriminant analysis was used for laboratory profiles. Multiple correspondence analysis was applied to nominal categorical data, employing Euclidean distances to analyze age groups. Discriminant analysis was applied to a training sample and validated on a test sample. The overall agreement of the model's discrimination, sensitivity, specificity, and fit indicators was calculated. The results indicated that individuals under 12 years exhibited distinct dermatological and clinical features, including rash, pruritus, hypotension, lymphocyte count, and platelet count, compared with those aged 12 years and older. In contrast, those 12 years and older were profiled for general and clinical symptoms such as pain (back pain, retro-orbital pain, headache), dizziness, chills, hematuria, tachypnea, and elevated/high hematocrit, hemoglobin, and basophil values. These findings are crucial to understanding the high incidence in children; they also facilitate rapid understanding of the disease in clinical care settings and differentiate it from other febrile outbreaks. This will affect disease control, particularly in severe cases, and reduce mortality.

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping

Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms and divergent responses to treatment. This clinical heterogeneity has hindered the progress of precision diagnosis and treatment effectiveness in psychiatric disorders. In this study, we propose BPI-GNN, a new interpretable graph neural network (GNN) framework for analyzing functional magnetic resonance images (fMRI), by leveraging the famed prototype learning. In addition, we introduce a novel generation process of prototype subgraph to discover essential edges of distinct prototypes and employ total correlation (TC) to ensure the independence of distinct prototype subgraph patterns. BPI-GNN can effectively discriminate psychiatric patients and healthy controls (HC), and identify biological meaningful subtypes of psychiatric disorders. We evaluate the performance of BPI-GNN against 11 popular brain network classification methods on three psychiatric datasets and observe that our BPI-GNN always achieves the highest diagnosis accuracy. More importantly, we examine differences in clinical symptom profiles and gene expression profiles among identified subtypes and observe that our identified brain-based subtypes have the clinical relevance. It also discovers the subtype biomarkers that align with current neuro-scientific knowledge.

Impact of Pain on Symptom Burden in Chemotherapy-Induced Peripheral Neurotoxicity.

Chemotherapy-induced peripheral neurotoxicity (CIPN) affects the quality of life of cancer survivors. However, the impact of pain on symptom burden remains undefined. This study aimed to define differences in the clinical symptom profile of patients with painful and nonpainful CIPN. A total of 579 participants (median age, 59 years [IQR, 19 years]; F=66%) were assessed cross-sectionally 6 months posttreatment. CIPN severity was graded using multiple methods, including patient-reported outcome measures, a clinically graded scale (NCI-CTCAE), and a neurologic examination score. Participants were classified into subgroups based on patient symptom report, with painful CIPN characterized by the presence of shooting/burning pain, and nonpainful CIPN characterized by the presence of numbness or tingling without shooting/burning pain. Behavioral changes were assessed via structured patient interview regarding symptom impact on sleep, exercise, and treatment-seeking. Among 579 participants, 24% (n=140) reported painful CIPN, 48% (n=280) reported nonpainful CIPN, and 28% (n=159) had no CIPN. Participants with painful CIPN demonstrated higher CIPN severity than those with nonpainful CIPN across multiple measures, including NCI-CTCAE, neurologic grading, and patient report (all P<.05). Participants with painful CIPN were more likely to report that their symptoms affected their ability to exercise (P=.007), produced sleep impairment, and increased treatment-seeking behavior due to their symptoms (both P<.001) compared with participants with nonpainful CIPN. Overall, participants with painful CIPN reported higher scores across all CIPN severity measures, including behavioral changes. This study underlines the need for accurate identification of different CIPN subgroups in hopes of informing better treatment and rehabilitation options for cancer survivors with painful CIPN.

Profile of Autoantibodies and Clinical Symptoms in Guinean Patients with Connective Tissue Diseases

Profile of Autoantibodies and Clinical Symptoms in Guinean Patients with Connective Tissue Diseases

425. Characterization and predictive risk scoring of long COVID in a South Indian cohort after breakthrough COVID infection; a prospective single centre study

Abstract Background The majority of existing literature on long COVID has been focused on hospitalised patients. However, in the real-world setting of the post-vaccination era where breakthrough infections are the norm, it becomes a priority to assess the clinical profile of long COVID symptoms among such individuals. Through our study, we aim to describe the incidence, characterise and stratify the risk of developing long COVID breakthrough infections. Methods This prospective observational study included adult patients with breakthrough COVID-19 infections diagnosed at a tertiary hospital in India. Post-COVID symptoms at weeks 2, 6 and 12 after testing negative were extracted using a questionnaire after which multi-variate analysis was done. Results Out of 414 patients analysed, 164 reported post-COVID symptoms beyond 6 weeks of the infection. Univariate analysis showed that the presence of long COVID was found to be significantly higher among patients above 65 years of age at 31.3% in comparison to the long COVID presence at 29.4% among those below age 65 (p &amp;lt; 0.001). Systemic hypertension was also significantly associated with the presence of long COVID (72.3%), along with bronchial asthma (68.8%) with a p-value of &amp;lt; 0.0001 in both instances. Backwards selection was used leading to a reduced model consisting of age OR 1.053, 95% CI 0.097–1.07), p &amp;lt; 0.001), hypertension (OR 2.59, 95% CI 1.46–4.59, p = 0.001) and bronchial asthma (OR 3.7176, 95% CI 1.24–11.12, p = 0.018) to be significant predictors of long COVID incidence. These were used to develop a propensity score (C statistics – 80.9%). 1A: Long COVID symptomatic profile at weeks 2, 6 and 12 weeks 1B: Organ system wise distribution of long COVID symptoms at 2, 6 and 12 weeks Conclusion A significant presence of long COVID at 12 weeks among non-hospitalised breakthrough infections calls for a series of review check-ups for the early detection of long-term complications. The proposed predictive risk scoring based on significant risk factors may assist clinicians in identifying patients at risk of developing long COVID, leading to appropriate, individualised management. Table 4 Figure 3A &amp; 3B 3A: Logistic regression model for predicting long COVID incidence 3B: Clinical prediction nomogram to depict risk of long COVID incidence Figure 4A &amp; 4B 4A: Association of propensity risk score for Long COVID incidence with symptom burden 4B: Association of propensity risk score for Long COVID incidence with functional status Disclosures All Authors: No reported disclosures

46 Exploring Social Cognition Deficits Characterised by Impulsive Responding in Children

Objective:Theory suggests that symptoms of Attention-deficit Hyperactivity Disorder (ADHD; e.g., hyperactivity and impulsivity) may be associated with social cognition deficits characterised by fast but erroneous processing of social cues. Despite this, prior research has provided mixed evidence for (a) deficits in social cognition skills and (b) a link between such deficits and poor social outcomes among children with ADHD. We sought to clarify this ambiguity by (a) exploring variation in social cognition skills across a mixed clinical and normative population and (b) examining the demographic, clinical, and dimensional symptom profiles of children presenting with reduced social cognition skills characterised by fast but erroneous processing.Participants and Methods:Participants were children and adolescents (N = 1,097) aged 4–18 years (M = 9.02, SD = 2.72) assessed using the Paediatric Evaluation of Emotions Relationships and Socialisation (PEERS), a child-direct, ecologically sensitive measure of social cognition. Latent profile analysis of standardised social cognition scores and response times for incorrect encoding of social cues (error-response times) was used to identify social cognition profiles. Differences between each profile in terms of demographics, clinical profiles, symptom dimensions, and social outcomes were explored.Results:Four social cognition profiles were identified. Two profiles were identified as being of particular interest: one which captured typically developing children (TDC; n = 727), and another which was characterised by lower social cognition scores and faster error-response times (impulsive responding; n = 201). The remaining profiles captured the response styles of younger participants (n = 152) and children with more pervasive social cognition deficits (n = 17). Comparison of the two profiles of interest revealed a number of statistically significant differences (p &lt; .05). Compared to the TDC group, the impulsive responding group had: higher SDQ scores for hyperactivity, conduct, emotional, and peer problems; lower IQ and prosocial scores, and; greater parent-perceived social function deficits. Children in this group were also more likely to be male and from a lower SES background. Clinically, 18% of children in the impulsive responding group had an ADHD diagnosis, and 14% had at lease one mental health diagnosis other than ADHD.Conclusions:A large minority of children (~18%) demonstrate social cognition deficits characterised by fast but erroneous processing of social cues. Although the explorative nature of this study does not allow conclusions to be made about the causes of such deficits, it is reasonable to conclude that they are not reducible to clinically significant symptoms of hyperactivity-impulsivity — less than 1/5 of the children in this group had an ADHD diagnosis, and 2/3 of children in this group had no mental health diagnosis at all. Child-direct tools designed to detect individual differences in social cognition skills may be beneficial in identifying individuals who will benefit from social support or interventions aimed at reducing social cognition deficits despite being missed by more traditional screening measures (e.g., clinical diagnoses). Future work should focus on understanding the causal relationships between symptoms of hyperactivity-impulsivity, fast but erroneous processing of social cues, social cognition skills, and social outcomes for this group of children.

The Need for Psychiatric Assessment in Children with Down Syndrome and Factors Affecting Their Use of Mental Health Services: A Cross-Sectional Study from Turkey

Objective. Down syndrome (DS) is the most common cause of intellectual disability. Children with DS may have difficulty accessing psychiatric services because their mental health problems are often unrecognized. This study aimed to assess the mental health needs of children with Down syndrome and the elements that may affect their access and referral to psychiatric services. Methods. In this single-center cross-sectional study, we evaluated 72 children with Down syndrome and assessed the factors affecting their use of mental health services by using a questionnaire completed by parents. We compared the clinical symptom profiles of young preschool-aged children with Down syndrome (n = 26) with typical (n = 26), developmental delay (n = 15), and autism spectrum disorder (ASD) group (n = 28) to evaluate mental health problems. The Schedule for Affective Disorders and Schizophrenia for School-Aged Children: Present and Lifetime Version DSM-5 (K-SADS-PL) was administered. Parents completed the child behavior check list for ages 6–18 and 1½-5, depending on the child’s age. Results. Although most patients with Down syndrome (51.4%) had psychiatric symptoms reported by parents at the initial assessment, the most frequent reason (62.5%) for applying to our psychiatric clinic was to submit an application for a medical report. The majority of patients with Down syndrome (56%) had a psychiatric disorder, and attention deficit and hyperactivity disorder was the most common diagnosis. Conclusion. Clinicians should not overlook the need for psychiatric assessment, early diagnosis, and collaboration between pediatricians and child psychiatrists, which are crucial during medical evaluation and follow-up of children with Down syndrome.

Relationship between clinical symptom profiles and COVID-19 infection status during Delta-dominant period versus Omicron-dominant period—analysis of real-world data collected in Hiroshima Prefecture, Japan

ObjectivesThe present study investigates the diagnosis and prediction of COVID-19 based on clinical symptoms, and corresponding difference between the Delta- and Omicron-dominant periods, using data collected at polymerase chain reaction (PCR) centers in Hiroshima Prefecture, Japan. MethodsData was collected using a J-SPEED-style COVID-19 standard data collection form. The analysis was done in two directions: calculating the likelihood ratio that clinical symptoms will manifest in "infected" versus "non-infected" individuals and calculating the diagnostic odds ratio (OR) of infection for those who have symptoms compared to those without symptoms. ResultsCOVID-19 was more strongly associated with smell and taste disorders during the Delta-dominant period, and muscle pain during the Omicron-dominant period. An age-specific analysis of likelihood and diagnostic ORs found cold-like symptoms had the lowest ability to diagnose COVID-19, and the lowest predictability of COVID-19 with children during both periods. The likelihood and diagnostic ORs of other symptoms for COVID-19 were highest in adults and lowest in those over 65. ConclusionSymptoms are an important indicator of COVID-19, but the association between specific symptoms and COVID-19 is dependent on the dominant variant of the virus.

Clinical symptom profile of hospitalized COVID-19 Brazilian patients according to SARS-CoV-2 variants.

The aim of this study was to investigate the prevalence of the main symptoms in Brazilian coronavirus disease 2019 (COVID-19) patients hospitalized during 4 distinct waves, based on their infection with different severe acute respiratory disease coronavirus 2 (SARS-CoV-2) variants. This study included hospitalized patients who tested positive for SARS-CoV-2 during 15 weeks around the peak of each of 4 waves: W1, ancestral strain/B.1 lineage (May 31 to September 12, 2020); W2, Gamma/P.1 variant (January 31 to May 15, 2021); W3, Omicron variant (December 5, 2021 to March 19, 2022); and W4, BA.4/BA.5 subvariants (May 22 to September 3, 2022). Symptom data were extracted from the Brazilian Severe Acute Respiratory Syndrome Database. Relative risks were calculated, and an analysis of symptom networks was performed. Patients who were hospitalized during the prevalence of the Gamma/P.1 variant demonstrated a higher risk, primarily for symptoms such as fatigue, abdominal pain, low oxygen saturation, and sore throat, than patients hospitalized during the first wave. Conversely, patients who were hospitalized during the predominance of the Omicron variant exhibited a lower relative risk, particularly for symptoms such as loss of smell, loss of taste, diarrhea, fever, respiratory distress, and dyspnea. Similar results were observed in COVID-19 patients who were hospitalized during the wave of the Omicron subvariants BA.4/BA.5. A symptom network analysis, conducted to explore co-occurrence patterns among different variants, revealed significant differential profiles across the 4 waves, with the most notable difference observed between the W2 and W4 networks. Overall, the relative risks and patterns of symptom co-occurrence associated with different SARS-CoV-2 variants may reflect disease severity.

Relationship between Symptom Profiles and Endotypes among Patients with Obstructive Sleep Apnea: A Latent Class Analysis.

Rationale: Obstructive sleep apnea (OSA) is a heterogeneous syndrome with various endotypic traits and symptoms. A link among symptoms, endotypes, and disease prognosis has been proposed but remains unsupported by empirical data. Objectives: To link symptom profiles and endotypes by clustering endotypic traits estimated using polysomnographic signals. Methods: We recruited 509 patients with moderate to severe OSA from a single sleep center. Polysomnographic data were collected between May 2020 and January 2022. Endotypic traits, namely arousal threshold, upper airway collapsibility, loop gain, and upper airway muscle compensation, were retrieved using polysomnographic signals during non-rapid eye movement periods. We used latent class analysis to group participants into endotype clusters. Demographic and polysomnographic parameter differences were compared between clusters, and associations between endotype clusters and symptom profiles were examined using logistic regression analyses. Results: Three endotype clusters were identified, characterized by high collapsibility/loop gain, low arousal threshold, and low compensation, respectively. Patients in each cluster exhibited similar demographic characteristics, but those in the high collapsibility/loop gain cluster had the highest proportion of obesity and severe oxygen desaturation observed in polysomnographic studies. The low compensation cluster was characterized by fewer sleepy symptoms and exhibited a lower rate of diabetes mellitus. Compared with the excessively sleepy group, disturbed sleep symptoms were associated with the low arousal threshold cluster (odds ratio, 1.89; 95% confidence interval, 1.16-3.10). Excessively sleepy symptoms were associated with the high collapsibility/loop gain cluster (odds ratio, 2.16; 95% confidence interval, 1.39-3.37) compared with the minimally symptomatic group. Conclusions: Three pathological endotype clusters were identified among patients with moderate to severe OSA, each exhibiting distinct polysomnographic characteristics and clinical symptom profiles.

Biomarkers for clinical use in psychiatry: where are we and will we ever get there?

Biomarkers for clinical use in psychiatry: where are we and will we ever get there?

Does a history of cannabis use influence onset and course of schizophrenia?

While evidence strongly supports a causal effect of cannabis on psychosis, it is less clear whether the symptom pattern, clinical course, and outcomes differ in cases of schizophrenia with and without a background of cannabis use. Analysis of medical records from a longitudinal follow-up of Swedish conscripts with data on cannabis use in adolescence and subsequent incidence of schizophrenia. One hundred sixty patients with schizophrenia were assessed using the OPCRIT protocol. Cases were validated for diagnosis schizophrenia according to OPCRIT. Patients with a cannabis history (n = 32), compared to those without (n = 128), had an earlier age at onset, a higher number of hospital admissions and a higher total number of hospital days. There was no significant difference in type of onset and clinical symptom profiles between the groups. Our findings indicate that the disease burden of schizophrenia is greater in individuals who use cannabis during adolescence. Strengthening evidence on causality and teasing out long-term effects of pre-illness cannabis use from continued post-illness has clinical implications for improving schizophrenia outcomes.

Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder.

The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD) are not well understood. Using a large neuroimaging dataset, we identified three latent dimensions of functional brain network connectivity that predicted individual differences in ASD behaviors and were stable in cross-validation. Clustering along these three dimensions revealed four reproducible ASD subgroups with distinct functional connectivity alterations in ASD-related networks and clinical symptom profiles that were reproducible in an independent sample. By integrating neuroimaging data with normative gene expression data from two independent transcriptomic atlases, we found that within each subgroup, ASD-related functional connectivity was explained by regional differences in the expression of distinct ASD-related gene sets. These gene sets were differentially associated with distinct molecular signaling pathways involving immune and synapse function, G-protein-coupled receptor signaling, protein synthesis and other processes. Collectively, our findings delineate atypical connectivity patterns underlying different forms of ASD that implicate distinct molecular signaling mechanisms.

PS-C31-9: A RANDOMISED TRIAL OF THE TRADITIONAL CHINESE MEDICINE (TCM) CONSTITUTION-BASED DIETARY REGIME IN GRADE 1 HYPERTENSIVE PATIENTS: RATIONALE AND DESIGN

Background and Objective: Cardiovascular disease (CVD) represents enormous challenges to population health. Body constitution, from the perspective of traditional Chinese medicine (TCM), differentiates how individuals feel and behave, and ultimately affects how different bodies respond to dietary intake. We hypothesise that the TCM constitution-based dietary intervention would be an effective approach to achieving favourable clinical and TCM-related outcomes when compared to usual care alone among the Chinese grade 1 hypertensive patients. Design and method: This is a parallel-group, randomised trial (registered as ChiCTR2000034749; http://www.chictr.org.cn). Participants consist of 274 primary care adults, aged 35 years or older, with uncomplicated grade 1 hypertension and at low risk of cardiovascular and renal events. Participants will be randomly assigned to either control or intervention group with a 1:1 allocation as per computer-generated random numbers. Permuted blocks of random sizes will be used. Subjects in the invention group will receive an on-site constitution assessment based on physical signs, personality, body symptoms, and the susceptibility to environmental changes. This will be conducted by the attending TCM practitioners trained in a prior session to improve the inter-rater reliability. A colour-printed constitution-specific brochure will be provided onsite. Health education materials will be made available to patients by courier service thereafter. All participants receive routine care provided by the ‘family doctor team’ in the context of the national basic public health service delivery. Measurements will be undertaken at three time-points, i.e., at baseline, at 6- and 12-month follow-ups. At each follow-up interview, subjects in the intervention group will be questioned about the constitution types of their own, and a full awareness of the constitution profile will be seen as an adherence to the protocol. Results and outcome evaluation: The primary outcome of the study is the difference between the two arms in the proportion of participants who had optimal control of blood pressure at 12 months. A point estimate of 25% inferiority in effectiveness would be acceptable assuming a gain that is considered to be clinically relevant. The secondary outcome measures include differences in the profile of clinical parameters and TCM symptoms between the two arms. Conclusions: We believe that this study offers new insights for cardiovascular health management through TCM constitution-based strategies in primary care settings to target those who need continuous attention in dietary modifications. The findings may advance our knowledge of the practical contribution of complementary and alternative medicine in the prevention and control of CVD.

Hepatic dysfunctions in COVID-19 patients infected by the omicron variant of SARS-CoV-2.

Presently, the omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) dominates amid the coronavirus disease 2019 (COVID-19) pandemic, but its clinical characteristics with intrinsic severity and organ tropism remain understudied. We reported 1,001 mild COVID-19 patients that were infected with the omicron variant of SARS-CoV-2 and hospitalized in China from February to June 2022, including their demographic information, medical/immunization history, clinical symptom, and hematological profile. Patients with one-, two- and three-dose vaccination were compared to assess the vaccine effectiveness. Importantly, liver damage caused by the omicron variant infection was evaluated, in comparison to that caused by the wild-type or the delta variant SARS-CoV-2 infection. For the reported COVID-19 patients infected by the omicron variant of SARS-CoV-2, their median age was 36.0 [interquartile range (IQR): 26.0-50.0] and 49.7% were female. Hypertension, diabetes, and bronchitis were the leading comorbidities, and asymptomatic patients took up a major portion (61.2%). While most hematological parameters revealed the alleviated pathogenicity, full vaccination or booster shot showed effective protection against clinical severity. Furthermore, liver damages caused by viral infection of the omicron variant were largely attenuated when compared to those by infection of the wild-type or the delta variant SARS-CoV-2. Our results supported that the viremic effect of the omicron variant tended to be modest, while the liver damage caused by this strain became milder than the previous circulating variants.

Subgroups of internet gaming disorder based on addiction-related resting-state functional connectivity.

To identify subgroups of people with internet gaming disorder (IGD) based on addiction-related resting-state functional connectivity and how these subgroups show different clinical correlates and responses to treatment. Secondary analysis of two functional magnetic resonance imaging (fMRI) data sets. Zhejiang province and Beijing, China. One hundred and sixty-nine IGD and 147 control subjects. k-Means algorithmic and support-vector machine-learning approaches were used to identify subgroups of IGD subjects. These groups were examined with respect to assessments of craving, behavioral activation and inhibition, emotional regulation, cue-reactivity and guessing-related measures. Two groups of subjects with IGD were identified and defined by distinct patterns of connectivity in brain networks previously implicated in addictions: subgroup 1 ('craving-related subgroup') and subgroup 2 ('mixed psychological subgroup'). Clustering IGD on this basis enabled the development of diagnostic classifiers with high sensitivity and specificity for IGD subgroups in 10-fold validation (n = 218) and out-of-sample replication (n = 98) data sets. Subgroup 1 is characterized by high craving scores, cue-reactivity during fMRI and responsiveness to a craving behavioral intervention therapy. Subgroup 2 is characterized by high craving, behavioral inhibition and activations scores, non-adaptive emotion-regulation strategies and guessing-task fMRI measures. Subgroups 1 and 2 showed largely opposite functional-connectivity patterns in overlapping networks. There appear to be two subgroups of people with internet gaming disorder, each associated with differing patterns of brain functional connectivity and distinct clinical symptom profiles and gender compositions.

Positive and negative impact of anti-reflux mucosal intervention on gastroesophageal reflux disease.

Anti-reflux mucosal intervention (ARMI), including anti-reflux mucosectomy (ARMS) and anti-reflux mucosal ablation (ARMA), is a promising endoscopic treatment for gastroesophageal reflux disease (GERD). Few studies reported a detailed analysis of the objective reflux parameters. Patients with chronic PPI-dependent GERD and receiving ARMI were prospectively enrolled. Comprehensive clinical symptom profiles, endoscopy results, and 24-h multichannel intraluminal impedance-pH (MII-pH) monitoring were collected and analyzed before and 3months after ARMI. Twenty-three patients undergoing ARMI (11 ARMS and 12 ARMA) were enrolled. The median (IQR) operative time and post-procedure stays were 50 (46-56) min and 2 (2-2) days without major complications. 73.9% of patients reported subjective global improvement. A significant decrease in the total reflux symptom index score was noted from 12 (5-19) to 8 (4-12) (P = 0.010). The esophageal acid exposure time (AET) significantly decreased from 4.6 (2.8-6.9) to 2.1 (1.1-5.6) (P = 0.013), and the number of acid refluxes and DeMeester score were significantly reduced. Three patients (13%) had increased AET (3.4% to 6.1%, 6.3% to 15.4%, and 3.2% to 5.6%); however, all reported global improvement and two patients could discontinue PPI subjectively. One patient (4.3%) had worsened erosive esophagitis and reflux symptoms. 56.5% of patients stopped PPI. ARMI is generally effective and safe in PPI-dependent patients. However, possible negative effects of ARMI exist in some patients; further application of MII-pH is necessitated to evaluate the treatment response after ARMI and avoid the detrimental effect of PPI discontinuation. Graph.

Severity of COVID-19 cases in the months of predominance of the Alpha and Delta variants

New SARS-CoV-2 may pose problems in controlling the COVID-19 pandemic for public health. We aimed to assess and compare the symptoms and severity of cases due to the Alpha and Delta variant dominance periods, taking into account the effect of COVID-19 vaccination. A prospective epidemiological study of SARS-CoV-2 in Lleida was made to determine differences between Alpha and Delta variants periods. We assessed symptoms, specific comorbidities, sociodemographic information and vaccination status. Bivariate and logistic regression analyses were used to estimate the adjusted odds ratio (aOR) and 95% confidence intervals (CI) to investigate the relationship between symptoms and severity and the variants. Alpha variant period compared to the Delta showed an increased risk of ICU admission (aOR 2.0; 95% CI 1.2–2.3) and death (aOR 2.6; 95% CI 1.8–3.9) and cases were associated with people aged > 85 years (aOR 2.1; 95% CI 1.7–2.6) and partially vaccinated (aOR 5.6; 95% CI 3.2–9.9) and unvaccinated people (aOR 27.8; 95% CI 19.7–40.5). Fever, cough and vomiting were significantly associated with the Alpha variant compared to the Delta (aOR 1.6 (95% CI 1.5–1.7), 2.0 (95% CI 1.9–2.2) and 2.5 (95% CI 2.2–2.9, respectively). Our results show that the severity and profile of clinical symptoms varied according to the variant. The risk of ICU admission and death was higher in the Alpha period compared to the Delta as it affected the elderly and cases were less vaccinated.

Correlation of Orexin-A and brain-derived neurotrophic factor levels in metabolic syndrome and cognitive impairment in schizophrenia treated with clozapine

Orexin-A and brain-derived neurotrophic factor (BDNF) are implicated in regulating metabolic syndrome (MetS) and cognitive impairment of schizophrenia. However, the associations among them remains unclear. Here, we aimed to investigate the relationship between Orexin-A levels, BDNF, MetS, clinical symptom profile, and cognitive function in schizophrenia patients following long-term clozapine treatment. We measured Orexin-A and BDNF levels in 140 schizophrenia patients with and without MetS. We assessed clinical symptoms on the Positive and Negative Syndrome Scale and cognitive function by the assessment of Neuropsychological Status (RBANS), and examined their associations with Orexin-A. Patients with MetS had significantly lower Orexin-A levels and higher coding test, attention span and delayed retention in RBANS (P < 0.05). Correlation analysis showed that Orexin-A was associated with BDNF, TG, HDLC, PANSS active social avoidance and emotional withdrawal significantly. Besides, Orexin-A significantly interacted with BDNF for metabolic and cognitive profiles including waist circumference, delayed retention and list recognition. Logistic regression analysis showed that Orexin-A level (odds ratio [OR] = 0.380, 95% confidence interval [CI]: 0.151–0.952, P = 0.039) and total illness duration (OR = 0.932, 95% CI: 0.875–0.991, P = 0.025) were predictive variables of MetS. However, there was no significant relationship between Orexin-A and cognitive function after adjustment for age, sex and educational levels. Totally, a lower plasma Orexin-A level seems to be related to metabolic parameters more than cognitive profiles. The interaction of Orexin-A with BDNF may be partly responsible for worse MetS and better cognition of elderly schizophrenia, but the causal relationship needs further clarification.