Changes of Cytokines in Children With Tic Disorder

Tic disorder (TD) is a common childhood-onset disease associated with abnormal development of brain networks involved in the motor and sensory processing. The underlying pathophysiological mechanisms in TD are still unclear. An involvement of immune mechanisms in its pathophysiology has been proposed. This study investigates the association between the changes of cytokines and the etiology and development of TD. Different expressions of cytokines in a larger number of samples in our study may provide new insights to the field. The levels of cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, and IFN-γ) were evaluated in 1,724 patients who were clinically diagnosed with TD from 1 to 17.5 years old and 550 were from 6 months to 14.5 years old in the control group. We assessed the levels of cytokines according to the patient's medication status and the severity of the disease. Of the cytokines we investigated, the serum IL-6 concentration of children with TD was significantly higher than that of the control group, while the levels of other cytokines were lower in TD patients. In the patient group whose YTGSS score ranged from 1 to 9, the IL-4, IL-10, and IFN-γ levels increased in medication group compared to unmedication group. Our data suggested that the cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, and IFN-γ) may play an important role in the etiology and the severity in TD. Whether drug intervention in the early stage of tic disorder has a better effect on children needs further research.

Postoperative clinical nursing care pathway for patients with mucormycosis: An experience from a tertiary care hospital in Rajasthan, India

Background: The COVID-19 pandemic is a serious global health threat and it has numerous impacts on human life. India faced the problem of the second wave of COVID-19 and an unexpected new predicament in the form of mucormycosis has been added. The use of steroids drugs for long duration and comorbidity with COVID-19 infections are the risk factors of mucormycosis. It is important to understand the postoperative clinical pathway to assess and determine the policy and protocol, which help patients fasten their recovery, prevent further complications and readmission. Methods: A cross‑sectional descriptive design was used to conduct the study. We adopted the validated Immediate Post-Operative Recovery Assessment (IPR-PA) Scale to assess the postoperative clinical nursing care pathway for patients with mucormycosis. Results: The current study shows that patients had highest score in the physiology clinical recovery domain (75.25%) and the lowest post-operative clinical recovery score in psycho-social domain (20.83%). There was a significant positive correlation was found between all the domains. The medication status domains found significantly associated with participants’ age (P=.021) and physiological domains has shown significant association with received oxygen therapy during hospitalization (P=.046). Conclusion: Postoperative clinical nursing care pathway was effective to determine the progress of a patient. It helps us to know the parameter of different domains namely being physiological, physical, psycho-social and medication status. Patients required psycho-social support due to the epidemic and fear from disease.

Mean Arterial Pressure and Risk of Falls Resulting in Hospital Presentation in Older Adults

Utilising data from the ASPirin in Reducing Events in the Elderly trial participants aged 70-years, we estimated MAP and variation in MAP defined as within-individual SD of MAP from baseline and first 2 annual visits. Falls were confined to those involving presentation to a hospital. Cox proportional hazards regression was used to calculate hazard ratio (HR) and 95% confidence interval (CI) for associations with falls. Amongst 16,703 participants (1,540 falls), MAP was not associated with falls irrespective of antihypertensive medication status (all: HR 1.00, 95% CI 0.99-1.01, not on antihypertensive: HR 1.01, 95% CI 0.99, 1.02, on antihypertensive: HR 1.01, 95% CI 0.99-1.02). Amongst 14,818 participants who remained in the study up to year 2 without falls, 1 unit escalation in MAP variability increased the risk (HR 1.01, 95% CI 1.00-1.03). Compared with those in the lowest tercile of variability, those in the middle or highest tercile of variability experienced an increased risk of falling (middle: HR 1.32, 95% CI 1.06-1.65; highest: HR 1.25, 95% CI 1.01-1.55). When stratified for antihypertensive medication status, those receiving diuretics (HR 1.18, 95% CI 1.00-1.39) or beta-blockers (HR 1.37, 95% CI 1.08-1.73) were at increased risk compared to those receiving renin-angiotensin-system acting agents. All results persisted after adjustment for multiple covariates. The association of diuretics and beta-blockers with falls remained significant even after excluding those with history of heart failure. Older community-dwelling adults with high variability in MAP are at increases risk of falls, particularly amongst those receiving beta-blockers or diuretics.

Higher Incidence of Metabolic Syndrome in Black Women With Polycystic Ovary Syndrome: A Longitudinal Study

Context Cross-sectional studies have identified an increased risk of metabolic syndrome (MetSyn) in women with polycystic ovary syndrome (PCOS), but longitudinal data are limited and primarily include White and European cohorts. Objective To compare the longitudinal risk of MetSyn in Black and White women with PCOS and to identify potential factors mediating the risk of MetSyn. Methods Longitudinal cohort study with a follow-up of 5.3 years at an academic medical center of 247 adult women with hyperandrogenic PCOS phenotype with 2 or more visits at least 3 years apart. The main outcome measure was incidence of MetSyn in Black and White women with PCOS. Results Using a mixed-effects model over time, the incidence of MetSyn was higher in Black women (45.9 ± 4.74 per 100 person-years) than in White women (31.3 ± 3.03 per 100 person-years) (P < .01) after adjusting for age and medication status. This difference persisted among women under age 30. Among Black women who did not have MetSyn at their prior visit, 28.0% had MetSyn at the next visit, compared with 12.1% of White women after adjusting for age and medication status (P < .01). In both races, the model-based estimated rates of MetSyn increased significantly with increase in body mass index and free testosterone. Conclusion We describe a persistent higher incidence of MetSyn in Black than in White women with PCOS. In addition to early cardiometabolic screening at the time of diagnosis, our findings highlight the need for ongoing and frequent screening in this population.

Acute Aerobic Exercise Induces Short-Term Reductions in Ambulatory Blood Pressure in Patients With Hypertension: A Systematic Review and Meta-Analysis

Chronic exercise reduces clinic and ambulatory blood pressure (BP), but the short-term effects of an acute exercise bout on ambulatory BP have not been studied widely. We reviewed the literature regarding the short-term effects of acute exercise on ambulatory BP in patients with hypertension and considered moderating factors (medication status and exercise modality/intensity) on ambulatory BP outcomes. A systematic search was conducted (PubMed, Cochrane Library, and Scopus; since inception to January 1, 2021) for crossover randomized controlled trials assessing the short-term effects of acute exercise on ambulatory BP in hypertensive individuals versus nonexercise control conditions. A meta-analysis was conducted for 24-hour, daytime, and nighttime systolic and diastolic BP. Subanalyses also were performed attending to medication status and exercise modality/intensity. Thirty-seven studies (N=822) met the inclusion criteria. A single acute exercise bout reduces 24-hour (systolic BP, −1.6 mm Hg [95% CI, −2.4 to −0.8] for all exercise modalities combined; diastolic BP, −1.0 mm Hg [95% CI, −1.5 to −0.5]), daytime (−3.1 mm Hg [95% CI, −4.1 to −2.2]; -2.0 mm Hg [95% CI, −2.8 to −1.2]), and nighttime ambulatory BP (−1.8 mm Hg [95% CI, −3.0 to −0.6]; −1.5 mm Hg [95% CI, −2.3 to −0.6]), respectively. The magnitude of the effect appears similar in medicated and nonmedicated patients. In separate analyses for exercise modalities, aerobic exercises reduce all ambulatory BP measures ( P <0.001) yet with no significant effects for resistance or combined (aerobic and resistance) exercise for any ambulatory BP measure. Vigorous aerobic exercise tends to produce the largest effects. A single bout of acute aerobic exercise, reduces ambulatory BP over 24 hours in medicated and nonmedicated hypertensive adults.

A Large Sample Epidemiological Survey of Severe Mental Disorders: Current Status and Prospects

Objective: To investigate the prevalence, distribution characteristics, medication status, and management status of patients with severe mental disorders (SMD) in Fuzhou. The medication status and management status were compared between patients in urban and non-urban areas to provide scientific evidence for improving SMD prevention, control, and treatment in primary health care institutions. Methods: Data (case types, demographic data, distribution data, medication status, and management status, etc.) of 30,362 SMD patients in 12 districts, counties, and prefectures in the urban and non-urban areas of Fuzhou City were collected From March 2018 to September 2018. Three distributions were used to describe the epidemiological characteristics of SMD. Linear trend chi-square test was used to illustrate the relationship between the prevalence of SMD and monthly changes. χ2 test method was used to compare the severity in urban and non-urban areas (qualitative data of SMD patients). Results: A total of 30,362 registered SMD patients were identified in Fuzhou City (prevalence rate, 4.17‰), of which schizophrenia accounted for the highest number (26204, 86.31%), and paranoid psychosis had the least number (47, 0.15%). Moreover, most SMD patients were aged 18 (inclusive)-44 years old (45.38%). Most patients were farmers (30.23%), had a primary school and below education level (54.17%), were poor, with most below the poverty line standard (55.35%). The time-point prevalence of SMD was highest in Minqing County (5.29‰) and lowest in Mawei District (3.80‰). The prevalence rates of SMD were significantly different among various regions in Fuzhou (P<0.05). There was a linear trend between the month and SMD prevalence, with a statistically significant difference (P<0.05). A total of 22,989 (75.72%) of the patients were taking medications, and only 17,509 (57.67%) were taking medications regularly. Moreover, the rate of taking medications and regular-taking rates were higher in urban areas than in non-urban areas (P＜0.05). A total of 3065 patients were under management (10.09%). The management rate was higher in the urban areas than in the non-urban areas (P<0.05). Conclusion: Schizophrenia needs comprehensive prevention and control in Fuzhou. The management of severe mental disorders should focus on poor groups with low educational backgrounds. Drug usage and management are better in urban areas than in non-urban areas, and thus management should be enhanced in non-urban areas. The medication management and case management of patients with severe mental disorders in Fuzhou need further improvements.

Is Elevated Neutrophil Count and Neutrophil-to-Lymphocyte Ratio a Cause or Consequence of Schizophrenia?—A Scoping Review

Background: Several studies have found an association between elevated neutrophil count or neutrophil-to-lymphocyte ratio (NLR) in peripheral blood from patients with schizophrenia. The etiology behind this effect is unknown, and it is unclear if changes in neutrophil count and NLR may be induced by antipsychotics or if these parameters relate to the diagnosis and symptoms of schizophrenia. The purpose of this scoping review was to map research that explores this association, and to identify gaps in the current knowledge base.Method: The work was conducted in accordance with established methodological standards for scoping reviews. Studies on neutrophil count and NLR in schizophrenia were identified through search in relevant databases, and a parallel screening procedure was performed to ensure validity and reproducibility of the search. Articles that included different comparison groups, with differences in medication status (drug-naïve or drug-free vs. medicated), current disease state (relapse vs. remission), or treatment response, were included, as well as studies evaluating the association between symptomatology and neutrophil count or NLR.Results: The available literature was limited with substantial differences in aims, methods, and outcomes. In total, 13 articles were included for the synthesis of this review. Some interesting trends were identified: Neutrophil count and NLR seem to be elevated in schizophrenia patients regardless of current or past use of antipsychotic therapy. Neutrophil count and NLR correlated significantly with positive symptoms of schizophrenia. Still, these findings should be interpreted with caution due to considerable methodological differences and weaknesses in the literature, particularly concerning the blood sampling procedure.Conclusion: By including longitudinal studies and by comparing patient groups based on medication status, disease state and response, our study provides a basis for dissecting the associations between increased neutrophil count or NLR and a diagnosis of schizophrenia. Further research should investigate and quantify the apparent strong correlation between neutrophil count or NLR and positive symptoms in schizophrenia, to evaluate its clinical potential to guide diagnostics, treatment, or as a predictor of outcome. This review also exposes important methodological weaknesses in the literature on neutrophil count and NLR measurements. Standardization of blood sampling and processing is crucial to reduce bias, and factors that are known to influence leukocyte levels need to be accounted for.

GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals

Parkinson’s disease (PD) is globally the most common neurodegenerative movement disorder. It is characterized by a loss of dopaminergic neurons in the substantia nigra of the brain. However, current methods to diagnose PD on the basis of clinical features of Parkinsonism may lead to misdiagnoses. Hence, noninvasive methods such as electroencephalographic (EEG) recordings of PD patients can be an alternative biomarker. In this study, a deep-learning model is proposed for automated PD diagnosis. EEG recordings of 16 healthy controls and 15 PD patients were used for analysis. Using Gabor transform, EEG recordings were converted into spectrograms, which were used to train the proposed two-dimensional convolutional neural network (2D-CNN) model. As a result, the proposed model achieved high classification accuracy of 99.46% (±0.73) for 3-class classification (healthy controls, and PD patients with and without medication) using tenfold cross-validation. This indicates the potential of proposed model to simultaneously automatically detect PD patients and their medication status. The proposed model is ready to be validated with a larger database before implementation as a computer-aided diagnostic (CAD) tool for clinical-decision support.