European Archives of Psychiatry and Clinical Neuroscience最新文献

The SARS-CoV-2 pandemic has resulted in 762 million infections worldwide from 2020 to date, of which approximately ten percent are suffering from the effects after infection in 2019 (COVID-19) [1, 40]. In Germany, it is now assumed that at least one million people suffer from post-COVID condition with long-term consequences. These have been previously reported in diseases like Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS). Symptoms show a changing variability and recent surveys in the COVID context indicate that 10-30 % of outpatients, 50 to 70% of hospitalised patients suffer from sequelae. Recent data suggest that only 13% of all ill people were completely free of symptoms after recovery [3, 9]. Current hypotheses consider chronic inflammation, mitochondrial dysfunction, latent viral persistence, autoimmunity, changes of the human microbiome or multilocular sequelae in various organ system after infection. Hyperbaric oxygen therapy (HBOT) is applied since 1957 for heart surgery, scuba dive accidents, CO intoxication, air embolisms and infections with anaerobic pathogens. Under hyperbaric pressure, oxygen is physically dissolved in the blood in higher concentrations and reaches levels four times higher than under normobaric oxygen application. Moreover, the alternation of hyperoxia and normoxia induces a variety of processes at the cellular level, which improves oxygen supply in areas of locoregional hypoxia. Numerous target gene effects on new vessel formation, anti-inflammatory and anti-oedematous effects have been demonstrated [74]. The provision of intermittently high, local oxygen concentrations increases repair and regeneration processes and normalises the predominance of hyperinflammation. At present time only one prospective, randomized and placebo-controlled study exists with positive effects on global cognitive function, attention and executive function, psychiatric symptoms and pain interference. In conclusion, up to this date HBO is the only scientifically proven treatment in a prospective randomized controlled trial to be effective for cognitive improvement, regeneration of brain network and improvement of cardiac function. HBOT may have not only theoretical but also potential impact on targets of current pathophysiology of Post COVID condition, which warrants further scientific studies in patients.

Background: Survivors of severe COVID-19 often exhibit a variety of sequelae including loss of mobility and ADL (activities of daily living) capacity. Acute rehabilitation (AR) is an interdisciplinary rehabilitation intervention applied early while still in a hospital setting. The goal of AR is to improve functional limitations and to increase functional independence at discharge. It is established in the treatment of patients with other severe diseases such as sepsis, polytrauma, or stroke. Data concerning AR in COVID-19 are sparse.

Aim: To evaluate the changes in physical function during AR in patients after severe COVID-19.

Methods: This monocentric, retrospective observational study examined the functional outcomes of a sample of COVID-19-patients who received interdisciplinary AR at a university hospital. Inclusion criteria were a positive SARS-CoV-2 test in 05/2020-01/2022 and transfer to AR after intensive care treatment. 87 patients were elegible for evaluation, 3 of whom were excluded because of death during AR. Data were extracted from the hospital information system. In a pre-post analysis, mobility (Charité Mobility Index), ADL (Barthel Index), and oxygen demand were assessed. In addition, discharge location after AR, factors associated with AR unit length of stay, and functional improvements were analyzed.

Results: Data of 84 patients were analyzed. Mobility increased significantly from a median of 4 [1.25-6] CHARMI points at admission to a median of 9 [8.25-9] at discharge (p < 0.001). ADL increased significantly from a median of 52.5 [35.0-68.75] Barthel Index points at admission to a median of 92.5 [85-95] at discharge (p < 0.001). Oxygen demand decreased from 80.7 to 30.5% of patients. The majority (55.9%) of patients were discharged home, while 36.9% received direct follow-up rehabilitation. Older age correlated significantly with lower scores on the discharge assessment for mobility (Spearman's ϱ = -0.285, p = 0.009) and ADL (Spearman's ϱ = -0.297, p = 0.006).

Conclusion: Acute rehabilitation is a viable option for COVID-19 patients with severe functional deficits after ICU treatment to achieve functional progress in mobility and ADL, reduce oxygen requirements and enable follow-up rehabilitation. TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION FOR PROSPECTIVELY REGISTERED TRIALS: Trial registration number: DRKS00025239. Date of registration: 08 Sep 2021.

A significant proportion of patients after SARS-CoV-2 infection suffer from long-lasting symptoms. Although many different symptoms are described, the majority of patients complains about neuropsychological symptoms. Additionally, a subgroup of patients fulfills diagnostic criteria for ME/CFS. We analyzed a registry of all patients presenting in the out-patients clinic at a German university center. For patients with more than one visit, changes in reported symptoms from first to second visit were analyzed. A total of 1022 patients were included in the study, 411 of them had more than one visit. 95.5% of the patients reported a polysymptomatic disease. At the first visit 31.3% of the patients fulfilled ME/CFS criteria after a median time of 255 days post infection and and at the second visit after a median of 402 days, 19.4% still suffered from ME/CFS. Self-reported fatigue (83.7-72.7%) and concentration impairment (66.2-57.9%) decreased from first to second visit contrasting non-significant changes in the structured screening. A significant proportion of SARS-CoV-2 survivors presenting with ongoing symptoms present with ME/CFS. Although the proportion of subjective reported symptoms and their severity reduce over time, a significant proportion of patients suffer from long-lasting symptoms necessitating new therapeutic concepts.

The individual's mental health crisis and the COVID-19 pandemic lead to mental disorders. The transmission of the COVID-19 virus is associated with the levels of anxiety, stress, and depression in individuals, similar to other factors. Increases in mental illness cases and the prevalence of depression have peaked after the pandemic struck. The limited social intervention, reduced communication, peer support, and increased social isolation during the pandemic resulted in higher levels of depression, stress, and anxiety which leads to mental illness. Physiological distress is associated with the mental disorders, and its negative impact can be improved mainly by early detection and treatment. Early identification of mental illness is crucial for timely intervention to decelerate disorder severity and lessen individual health burdens. Laboratory tests for diagnosing mental illness depend on the self-reports of one's mental status, but it is labor intensive and time consuming. Traditional methods like linear or nonlinear regression cannot include many explanatory variables as they are prone to overfitting. The main challenge of the state-of-the-art models is the poor performance in detecting mental illnesses at early stages. Deep learning models can handle numerous variables. The current study focuses on demographic background, Kessler Psychological Distress, Happiness, and Health determinants of mental health during the pandemic to predict the mental health. This study's prediction can help rapid diagnosis and treatment and promote overall public mental health. Despite potential response bias, these proportions are exceptionally elevated, and it's plausible that certain individuals face an even higher level of risk. In the context of the COVID-19 pandemic, an investigation into mental health patients revealed a disproportionate representation of children and individuals with neurotic disorders among those articulating substantial or severe apprehensions.

Since widespread vaccination against COVID-19, the development of effective antiviral drugs, and the decreasing number of patients with COVID-19 in intensive care, the risk from SARS-CoV-2 infection appears less threatening. However, studies show that a significant number of patients suffer from long-term sequelae, even months after SARS-CoV-2 infection. The so-called post-COVID syndrome (PCS) often presents a diagnostic and treatment challenge for physicians. This study protocol describes the "All Eyes on PCS" study, which aims to investigate the retinal microvasculature in PCS patients and COVID-19-recovered patients to provide new insights into the pathophysiology of PCS. "All Eyes on PCS" is a prospective, case-control study with the primary objective of detecting endothelial dysfunction (ED) in patients with PCS. Therefore, we intend to recruit patients with PCS, fully SARS-CoV-2-infection-recovered (CR) participants, and SARS-CoV-2-infection-naïve (CN) participants. Baseline measurements will include: (1) patient-specific characteristics, (2) biochemistry, (3) retinal vessel analysis (RVA), (4) survey questionnaires as patient-reported outcomes measurements (PROMs), (5) optical coherence tomography (OCT), OCT angiography (OCTA), and adaptive optics (AO), (6) blood pressure recordings, (7) handgrip strength test. After 6 months, baseline measurements will be repeated in the PCS cohort, and after 1 year, a telephone query will be conducted to assess residual symptoms and treatment needs. The aim of this study is to gain insight into the pathophysiology of PCS and to provide an objective biomarker for diagnosis and treatment, while also creating a comprehensive clinical database of PCS patients.ClinicalTrials.gov Identifier: NCT05635552; Date: 2.12.2022.

This research aims to study the factors contributing to Long COVID and its effects on motor and cognitive brain regions using population surveys and brain imaging. The goal is to provide new insights into the neurological effects of the illness and establish a basis for addressing neuropsychiatric symptoms associated with Long COVID. Study 1 used a cross-sectional design to collect data on demographic characteristics and factors related to Long COVID symptoms in 551 participants. In Study 2, subjects with Long COVID and SARS-CoV-2 uninfected individuals underwent fNIRS monitoring while performing various tasks. Study 1 found that gender, age, BMI, Days since the first SARS-CoV-2 infection, and Symptoms at first onset influenced Long COVID performance. Study 2 demonstrated that individuals in the SARS-CoV-2 uninfected group exhibited greater activation of cognitive function-related brain regions than those in the Long COVID group while performing a level walking task. Furthermore, individuals in the Long COVID group without functional impairment displayed higher activation of brain regions associated with motor function during a weight-bearing walking task than those with functional impairment. Among individuals with Long COVID, those with mild symptoms at onset exhibited increased activation of brain regions linked to motor and cognitive function relative to those with moderate symptoms at onset. Individuals with Long COVID exhibited decreased activation in brain regions associated with cognitive and motor function compared to SARS-CoV-2 uninfected individuals. Moreover, those with more severe initial symptoms or functional impairment displayed heightened inhibition in these brain regions.

Background: During the COVID-19 pandemic, reports from several European mental health care systems hinted at important changes in utilization. So far, no study examined changes in utilization in the German mental health care inpatient and outpatient mental health care system comprehensively.

Methods: This longitudinal observational study used claims data from two major German statutory health insurances, AOK PLUS and BKK, covering 162,905 inpatients and 2,131,186 outpatients with mental disorders nationwide. We analyzed changes in inpatient and outpatient mental health service utilization over the course of the first two lockdown phases (LDPs) of the pandemic in 2020 compared to a pre-COVID-19 reference period dating from March 2019 to February 2020 using a time series forecast model.

Results: We observed significant decreases in the number of inpatient hospital admissions by 24-28% compared to the reference period. Day clinic admissions were even further reduced by 44-61%. Length of stay was significantly decreased for day clinic care but not for inpatient care. In the outpatient sector, the data showed a significant reduction in the number of incident outpatient diagnoses.

Conclusion: Indirect evidence regarding the consequences of the reductions in both the inpatient and outpatient sector of care described in this study is ambiguous and direct evidence on treatment outcomes and quality of trans-sectoral mental healthcare is sparse. In line with WHO and OECD we propose a comprehensive mental health system surveillance to prepare for a better oversight and thereby a better resilience during future global major disruptions.

Patients with psychiatric disorders exhibit general autonomic dysregulation and elevated cardiovascular risks, which could be indexed by heart rate variability (HRV). However, HRV is susceptible to age and other patient-specific factors. This study aimed to investigate the HRV profile and age-related variations, as well as the potential influence of sex, BMI, and HR on HRV in psychiatric populations. There were 571 consecutive patients diagnosed with schizophrenia (SZ) (N = 282) or major depressive disorder (MDD) (N = 289) recruited and classified as adolescent (11-21 years) and adult (> 21 years) groups. HRV indices were measured with 3-minute resting ECG recordings. Compared to adolescent subjects, all time-domain and nonlinear HRV indices were notably reduced in adults, while frequency-domain HRV was comparable. Between SZ and MDD groups, only HTI differed significantly. Age and psychiatric disorders exhibited complex interaction effects on HRV. Stratified by age stage, MDD patients exhibited slightly higher HRV in adolescence but slightly lower HRV in adulthood. In logistic regression analysis, HTI and SD2 were significantly distinctive between adolescents and adults in MDD group, while pNN50 was distinctive in SZ group. Moreover, female subjects demonstrated lower time-domain HRV, LF/HF and SD2 than males. HR exhibited inverse relationship with three domain HRV. No significant effect of BMI was observed. In psychiatric populations, compared to adolescents, adults decreased in time-domain and nonlinear HRV, but not in frequency-domain HRV. Age and psychotic disorders exhibited complex interaction effects on HRV. Sex and HR also emerged as important influencing factors of HRV.

Schizophrenia has been linked to an elevated cardiovascular risk profile and premature onset of cardiovascular disease. Quantifying epicardial adipose tissue (EAT) volume provides insight into its correlation with coronary artery disease (CAD) severity and associated risk factors. Previous research indicates higher pericardial adipose tissue in individuals with schizophrenia compared to non-schizophrenic counterparts. RBP4, FABP3, and FABP4 have been implicated in CAD pathogenesis. In this study, we examined the potential increase in EAT volume in individuals with chronic schizophrenia and aimed to elucidate the relationship between circulating levels of RBP4, FABP3, and FABP4 with EAT volume and coronary artery calcium score within this cohort. We recruited 186 consecutive patients with chronic schizophrenia and utilized enzyme-linked immunosorbent assay to assess plasma concentrations of RBP4, FABP3, and FABP4. Cardiac multislice computed tomography measured EAT volume and coronary artery calcium scores. Significantly higher EAT volume in patients with chronic schizophrenia compared to controls. RBP4 associated positively with metabolic factors and EAT volumes, while FABP3 associated positively with creatinine and coronary atherosclerosis markers. FABP4 showed positive associations with metabolic factors, hypertension, and EAT volumes, but negative associations with HDL-C and eGFR. Logistic regression identified RBP4 and FABP4 as independent factors associated with increased EAT volumes, even after adjusting for known biomarkers. Both RBP4 and FABP4 were significantly associated with metabolic syndrome components and EAT volume. This study elucidates the association between chronic schizophrenia and augmented EAT volume, suggesting plausible correlations with CAD-related health complications through RBP4 and FABP4 pathways.