Quality outcome of diabetes care during COVID-19 pandemic: a primary care cohort study.

AIM: Management of diabetes care can be affected by COVID-19 pandemic control measures. This study aimed to determine the impact of the pandemic, during 17.03.2020-16.03.2021, on quality outcomes of diabetes care in general practice in Switzerland. METHODS: In this retrospective cohort study, diabetes mellitus patients (≥ 18 years) with at least one consultation at a general practitioner, during 17.03.2018-16.03.2019 (cohort 1) and 17.03.2019-16.03.2020 (cohort 2) were included and followed-up for two years. Quality indicators and outcomes of diabetes care, at patient and practitioner level, were compared before and during the pandemic. Logistic regression was performed to identify patient's risk factors for dropout from follow-up. RESULTS: Data from 191 practices, 23,903 patients, cohort 1 and 25,092 patients, cohort 2, were analyzed. The fraction of patients lost to follow-up, attributable to the pandemic, was 28% (95% confidence interval: 25%, 30%). During the pandemic, compared to the previous year, regular measurement of weight, HbA1c, blood pressure and serum creatinine were less frequent and less patients per practitioner reached HbA1c and blood pressure target outcomes. Factors associated with continuity of care during the pandemic were: patient age 41-80 years, longer diabetes duration, diagnosis of hypertension or dyslipidemia, influenza vaccination during the last year. Risk factors for dropout were age > 80 and receiving only insulin as anti-diabetic medication. CONCLUSION: A considerable quality reduction in diabetes mellitus care could be observed during the pandemic. Though the most vulnerable patients were not the most affected by the pandemic, key factors that might reduce dropout from follow-up were identified.

Within and Between Subject Spectral Fingerprints of EEG-Microstate Parameters.

Early reports have claimed that EEG microstate features (e.g. their mean duration or percent of time covered) are largely independent from EEG spectra. This has meanwhile been questioned for conceptual and empirical reasons, but so far, EEG spectral power map correlates of microstate features have not been reported. We present the results of such analyses, conducted both within and between subjects, and report patterns of systematic changes in local EEG spectral amplitude associated with the mean duration, frequency of occurrence and relative contribution of particular microstate classes. The combination of EEG microstate analysis with spectral analysis may therefore be helpful to come to a deeper understanding of local patterns of activation and inhibition associated with particular microstate classes.

COVID-19 Symptoms and Testing in the Swiss General Population: A Cross-Sectional Survey.

We estimated the incidence of COVID-19-compatible symptoms, COVID-19 testing, and GP consultations during the first lockdown period in Switzerland (March-April 2020). A representative sample of the adult Swiss population completed an online survey. Of the 1022 respondents, 74 % reported at least one symptom, 5 % were tested for COVID-19, and 8 % contacted their GP regarding COVID-19. Testing was significantly associated with reduced sense of taste/smell, fever, cough with expectoration, and fatigue. Respondents at risk for severe COVID-19 were less likely to be tested but were five times more likely to contact their GP than those not at risk. We highlight the need to involve the appropriate health care setting to reach the vulnerable population when testing capacities are restricted (e.g. GPs).

The effect of COVID-19 on mental well-being in Switzerland: a cross-sectional survey of the adult Swiss general population.

BACKGROUND: In addition to the threat of the COVID-19 pandemic to physical health, mental health is challenged by the emotional response to the situation and the official measures taken to stop the pandemic. This study aimed to assess the prevalence of impaired mental well-being due to COVID-19 and explore associated factors. METHODS: The study was an observational, population-based, nationwide, cross-sectional online survey of a representative sample of the general Swiss population performed between March and April 2020. Participants reported on mental well-being, self-isolation/quarantine, their risk for developing severe COVID-19, and their work situation. Multivariable logistic regression analyses assessed risk factors for impaired mental well-being due to the pandemic. RESULTS: Data from 1022 individuals were analysed. The median age was 44 years (range 18 to 78) and 49% were women. A third of respondents reported that the COVID-19 pandemic impaired their mental well-being and almost half reported specific mental health concerns. Impaired mental well-being was associated with having health problems (OR = 1.88, 95% CI: 1.29-2.74, vs no problems), being or living with someone at risk for severe COVID-19 (OR = 1.38, 95% CI: 1-1.9,), smoking (OR = 1.8, 95% CI: 1.24-2.61), living in urban residential environments (OR = 1.62, 95% CI: 1.13-2.32, vs rural), not being able to work due to closed workplace (OR = 1.66, 95% CI: 1.04-2.67), aged between 18 and 29 years old (OR = 1.99, 95% CI: 1.32-3.01, vs 45 to 59 years old), and living in a single household (living with someone, OR = 0.65, 95% CI: 0.44-0.97,vs single household). Overall, the most significant covariates of impaired mental well-being were specific mental health concerns: feeling depressed (OR = 7.21, 95% CI: 4.5-11.55), feeling less pleasure in doing things than before (OR = 6.28, 95% CI: 4.1-9.62), feeling anxious (OR = 6.13, 95% CI: 3.91-9.59) and feeling lonely (OR = 4.08, 95% CI: 2.53-6.58). CONCLUSION: Impaired mental well-being can carry long-term consequences. We encourage policymakers to implement strategies to promote mental health during this pandemic situation. Special attention should be addressed to the youngest, those at risk for severe COVID-19 and those with government-imposed work restrictions.

Expectations about check-up examinations among Swiss residents: A nationwide population-based cross-sectional survey.

INTRODUCTION: General health check-up examinations in asymptomatic adults have not been shown to be beneficial. Instead, opportunistic prevention during regular primary care consultations is most cost-effective and recommended. The study aimed to elucidate the expectations about check-ups of the general Swiss population. METHODS: A nationwide cross-sectional telephone survey was conducted in a representative sample of the population, stratified by sex, age, and language in November 2019. RESULTS: Data of 1077 respondents were analysed. Mean age was 45 years (range 18 to 89), and 51% were female. Overall, 40% of respondents expected to have check-up examinations (yearly: 41.6%), and 42% expected opportunistic prevention. Most expected check-up interventions were sex-specific such as mammography (89% of women), Pap smear test (89% of women), and blood test of prostate-specific antigen (81% of men). The least favoured ones related to counselling (tobacco: 27%; alcohol abuse: 29%). Most significant predictors of positive check-up expectations were being male (OR = 1.45, CI: 1.02-2.05 P = 0.04)), age between 45 and 59 years old (OR = 2.03, CI: 1.27-3.23, P = 0.003 vs. 18 to 29 years), having a degree from professional (OR = 1.73, 95% CIs: 1.11-2.69, P 0.015) or, middle school (OR = 1.99, 95% CIs:1.04-3.78, P = 0.037) or university (OR = 1.66, 95% CIs: 1.06-2.61, P< 0.001, vs. secondary school) and the more importance attributed to regularly checking one's health (OR = 2.12, 95% CIs: 1.70-2.36, P < 0.001). CONCLUSIONS: Almost half of the population expected to have mostly yearly check-up examinations in addition to regular care, which is in contradiction to recommendations. This behaviour impacts the rational use of health care resources and must be considered by physicians and given the active role of patients in the health care system.

The use of health care during the SARS-CoV-2 pandemic: repeated cross-sectional survey of the adult Swiss general population.

BACKGROUND: The distribution of health care resources during a pandemic is challenging. The aim of the study was to describe the use of health care in a representative sample of the Swiss population during the SARS-CoV-2 pandemic in 2020, and to compare it to data from a survey conducted in 2018. METHODS: We conducted an observational, population-based, nationwide, repeated cross-sectional survey of the adult Swiss general population in 2018 and in March and April 2020 during the first wave of the SARS-CoV-2 pandemic. Recruitment and data acquisition was conducted by the Link Institute in Lucerne in representative samples of Swiss citizens in 2020 and in 2018. Variables of interest were estimates of health problems, health seeking behaviour, medication and health care use in the population. RESULTS: In total, we included data of 1980 individuals (in 2018 N = 958 and in 2020 N = 1022). Across both rounds of data collection the median age was 46 years (range = 18-79 years) and 50% were women. Per 1000 adults, half had at least one symptom and a quarter sought medical advice across both surveys. The most frequently consulted health providers in 2020 were general practitioners (GP) (180/1000), specialist physicians (41/1000), pharmacies (38/1000), the internet (26/1000) and accident and emergency units (25/1000). Compared to 2018, we noted a significant increase in the use of health providers during the pandemic, which was independent of demographic variables for the following health care providers: use of internet (OR = 9.8), pharmacy (OR = 2.64), accident and emergency units (OR = 2.54), and a significant decrease in the number of people who consulted specialist physicians (OR = 0.46). Overall, 76/1000 contacted their GP in relation to COVID-19. CONCLUSIONS: Compared to 2018, GPs remained the most important source of medical advice for the population during the first wave of the COVID-19 pandemic in Switzerland. While the self-appraisal of health problems and of the need for medical advice remained constant, individuals seemed to change their provider choice during the pandemic, with an increased utilisation of accident and emergency units and pharmacies, which represent easily accessible and low-threshold medical services.

Serum Levels of Glutamate-Pyruvate Transaminase, Glutamate-Oxaloacetate Transaminase and Gamma-Glutamyl Transferase in 1494 Patients with Various Genotypes for the Alpha-1 Antitrypsin Gene.

BACKGROUND: Patients with liver disease associated with alpha-1 antitrypsin deficiency (AATD) are homozygous for the Z mutation, leading to chronic liver damage. OBJECTIVE: To assess the serum levels of glutamate-oxaloacetate transaminase (GOT), glutamate-pyruvate transaminase (GPT), and gamma-glutamyl transpeptidase (GGT) in patients with different genotypes for the alpha-1 antitrypsin (AAT) gene. METHODS: Patients (n = 1494) underwent genotyping of the SERPINA1 gene, together with a determination of AAT and GOT and GPT and GGT transaminase levels. Patients with a deficient allele (n = 476) and with a normal genotype were compared. RESULTS: A statistically significant association was found between deficient genotypes and GOT (p < 0.0003), GPT (p < 0.002), and GGT (p < 0.006). Comparing GOT levels in patients with PI*Z deficient variant versus those with normal genotype, an odds ratio (OR) of 2.72 (CI: 1.5-4.87) (p < 0.0005) was obtained. This finding was replicated with the PI*Z allele and the GPT values (OR = 2.31; CI: 1.45-3.67; p < 0.0003). In addition, a statistically significant association was found between liver enzymes and AAT values. CONCLUSION: The PI*Z allele seemed to be a risk factor for the development of liver damage. AAT deficient genotypes were associated with GOT, GPT, and GGT altered values. Low AAT levels were associated with high GPT and GGT levels.

The ecology of medical care in Switzerland: prevalence of illness in the community and healthcare utilisation in Switzerland.

INTRODUCTION: The allocation and equal distribution of healthcare resources is one of the major challenges of today. Therefore, a framework to analyse the prevalence of illness in the community and the use of various sources of healthcare is crucial. The aim of the study was to evaluate the health-seeking behaviour of 1025 individuals in Switzerland in a 2-month period in 2018. METHODS: Population-based, cross-sectional health survey with a multistage, stratified cluster design. The LINK Institute (Luzern, Switzerland, https://www.link.ch/) interviewed a representative sample of the adult Swiss population (age ≥18 years, stratified by language region: German-, French- and Italian-speaking, 70, 25 and 5%, respectively) by telephone. There were two interview rounds to account for potential seasonal variations, in May (n = 506) and November 2018 (n = 516). The health-seeking behaviour of these individuals during the previous 2 months was analysed. RESULTS: In total, data of 1025 individuals were analysed: 51% females, median age 52 years (range 1885). During the preceding 2 months, per 1000 adults, 546 had at least one symptom, 184 reported several symptoms, 243 sought medical advice, 164 first contacted their general practitioner, 81 directly contacted a specialist in a private practice, 16 were self-admitted to an accident and emergency department, 17 firstly contacted a pharmacy and 6 contacted an alternative medicine healthcare provider. In total, 21 persons were admitted to a hospital, of whom 8 underwent surgical procedures, 18 were at first transferred to a regular ward and 3 required intensive care unit services. Because of their current health problem, 387 individuals took medication and 259 bought their medication themselves. The vast majority (95%) of subjects was registered with a general practitioner. CONCLUSIONS: This study represented an attempt to map the healthcare utilisation of the Swiss population. These results may be useful for further delineation of healthcare policies and medical education to meet the demand and needs of people in Switzerland. They indicate that general practitioners are the most important healthcare resource in Switzerland. Compared with specialists, they provide twice as much health advice at less costs. To optimise the health care system in Switzerland, we suggest to allocate resources where they are most needed.

Neurofeedback-Based Enhancement of Single-Trial Auditory Evoked Potentials: Treatment of Auditory Verbal Hallucinations in Schizophrenia.

Auditory verbal hallucinations depend on a broad neurobiological network ranging from the auditory system to language as well as memory-related processes. As part of this, the auditory N100 event-related potential (ERP) component is attenuated in patients with schizophrenia, with stronger attenuation occurring during auditory verbal hallucinations. Changes in the N100 component assumingly reflect disturbed responsiveness of the auditory system toward external stimuli in schizophrenia. With this premise, we investigated the therapeutic utility of neurofeedback training to modulate the auditory-evoked N100 component in patients with schizophrenia and associated auditory verbal hallucinations. Ten patients completed electroencephalography neurofeedback training for modulation of N100 (treatment condition) or another unrelated component, P200 (control condition). On a behavioral level, only the control group showed a tendency for symptom improvement in the Positive and Negative Syndrome Scale total score in a pre-/postcomparison ( t(4) = 2.71, P = .054); however, no significant differences were found in specific hallucination related symptoms ( t(7) = -0.53, P = .62). There was no significant overall effect of neurofeedback training on ERP components in our paradigm; however, we were able to identify different learning patterns, and found a correlation between learning and improvement in auditory verbal hallucination symptoms across training sessions ( r = 0.664, n = 9, P = .05). This effect results, with cautious interpretation due to the small sample size, primarily from the treatment group ( r = 0.97, n = 4, P = .03). In particular, a within-session learning parameter showed utility for predicting symptom improvement with neurofeedback training. In conclusion, patients with schizophrenia and associated auditory verbal hallucinations who exhibit a learning pattern more characterized by within-session aptitude may benefit from electroencephalography neurofeedback. Furthermore, independent of the training group, a significant spatial pre-post difference was found in the event-related component P200 ( P = .04).

Low Motivational Incongruence Predicts Successful EEG Resting-state Neurofeedback Performance in Healthy Adults.

Neurofeedback is becoming increasingly sophisticated and widespread, although predictors of successful performance still remain scarce. Here, we explored the possible predictive value of psychological factors and report the results obtained from a neurofeedback training study designed to enhance the self-regulation of spontaneous EEG microstates of a particular type (microstate class D). Specifically, we were interested in life satisfaction (including motivational incongruence), body awareness, personality and trait anxiety. These variables were quantified with questionnaires before neurofeedback. Individual neurofeedback success was established by means of linear mixed models that accounted for the amount of observed target state (microstate class D contribution) as a function of time and training condition: baseline, training and transfer (results shown in Diaz Hernandez et al.). We found a series of significant negative correlations between motivational incongruence and mean percentage increase of microstate D during the condition transfer, across-sessions (36% of common variance) and mean percentage increase of microstate D during the condition training, within-session (42% of common variance). There were no significant correlations related to other questionnaires, besides a trend in a sub-scale of the Life Satisfaction questionnaire. We conclude that motivational incongruence may be a potential predictor for neurofeedback success, at least in the current protocol. The finding may be explained by the interfering effect on neurofeedback performance produced by incompatible simultaneously active psychological processes, which are indirectly measured by the Motivational Incongruence questionnaire.

Neurofeedback-Based Enhancement of Single Trial Auditory Evoked Potentials: Feasibility in Healthy Subjects.

Previous studies showed a global reduction of the event-related potential component N100 in patients with schizophrenia, a phenomenon that is even more pronounced during auditory verbal hallucinations. This reduction assumingly results from dysfunctional activation of the primary auditory cortex by inner speech, which reduces its responsiveness to external stimuli. With this study, we tested the feasibility of enhancing the responsiveness of the primary auditory cortex to external stimuli with an upregulation of the event-related potential component N100 in healthy control subjects. A total of 15 healthy subjects performed 8 double-sessions of EEG-neurofeedback training over 2 weeks. The results of the used linear mixed effect model showed a significant active learning effect within sessions ( t = 5.99, P < .001) against an unspecific habituation effect that lowered the N100 amplitude over time. Across sessions, a significant increase in the passive condition ( t = 2.42, P = .03), named as carry-over effect, was observed. Given that the carry-over effect is one of the ultimate aims of neurofeedback, it seems reasonable to apply this neurofeedback training protocol to influence the N100 amplitude in patients with schizophrenia. This intervention could provide an alternative treatment option for auditory verbal hallucinations in these patients.

Corrigendum: Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia.

[This corrects the article on p. 29 in vol. 7, PMID: 27047395.].

Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia.

Patients with schizophrenia show abnormal dynamics and structure of temporally -coherent networks (TCNs) assessed using fMRI, which undergo adaptive shifts in preparation for a cognitively demanding task. During working memory (WM) tasks, patients with schizophrenia show persistent deficits in TCNs as well as EEG indices of WM. Studying their temporal relationship during WM tasks might provide novel insights into WM performance deficits seen in schizophrenia. Simultaneous EEG-fMRI data were acquired during the performance of a verbal Sternberg WM task with two load levels (load 2 and load 5) in 17 patients with schizophrenia and 17 matched healthy controls. Using covariance mapping, we investigated the relationship of the activity in the TCNs before the memoranda were encoded and EEG spectral power during the retention interval. We assessed four TCNs - default mode network (DMN), dorsal attention network (dAN), left and right working memory networks (WMNs) - and three EEG bands - theta, alpha, and beta. In healthy controls, there was a load-dependent inverse relation between DMN and frontal midline theta power and an anti-correlation between DMN and dAN. Both effects were not significantly detectable in patients. In addition, healthy controls showed a left-lateralized load-dependent recruitment of the WMNs. Activation of the WMNs was bilateral in patients, suggesting more resources were recruited for successful performance on the WM task. Our findings support the notion of schizophrenia patients showing deviations in their neurophysiological responses before the retention of relevant information in a verbal WM task. Thus, treatment strategies as neurofeedback -targeting prestates could be beneficial as task performance relies on the preparatory state of the brain.

15 Years of Microstate Research in Schizophrenia - Where Are We? A Meta-Analysis.

Schizophrenia patients show abnormalities in a broad range of task demands. Therefore, an explanation common to all these abnormalities has to be sought independently of any particular task, ideally in the brain dynamics before a task takes place or during resting state. For the neurobiological investigation of such baseline states, EEG microstate analysis is particularly well suited, because it identifies subsecond global states of stable connectivity patterns directly related to the recruitment of different types of information processing modes (e.g., integration of top-down and bottom-up information). Meanwhile, there is an accumulation of evidence that particular microstate networks are selectively affected in schizophrenia. To obtain an overall estimate of the effect size of these microstate abnormalities, we present a systematic meta-analysis over all studies available to date relating EEG microstates to schizophrenia. Results showed medium size effects for two classes of microstates, namely, a class labeled C that was found to be more frequent in schizophrenia and a class labeled D that was found to be shortened. These abnormalities may correspond to core symptoms of schizophrenia, e.g., insufficient reality testing and self-monitoring as during auditory verbal hallucinations. As interventional studies have shown that these microstate features may be systematically affected using antipsychotic drugs or neurofeedback interventions, these findings may help introducing novel diagnostic and treatment options.

Towards Using Microstate-Neurofeedback for the Treatment of Psychotic Symptoms in Schizophrenia. A Feasibility Study in Healthy Participants.

Spontaneous EEG signal can be parsed into sub-second periods of stable functional states (microstates) that assumingly correspond to brief large scale synchronization events. In schizophrenia, a specific class of microstate (class "D") has been found to be shorter than in healthy controls and to be correlated with positive symptoms. To explore potential new treatment options in schizophrenia, we tested in healthy controls if neurofeedback training to self-regulate microstate D presence is feasible and what learning patterns are observed. Twenty subjects underwent EEG-neurofeedback training to up-regulate microstate D presence. The protocol included 20 training sessions, consisting of baseline trials (resting state), regulation trials with auditory feedback contingent on microstate D presence, and a transfer trial. Response to neurofeedback was assessed with mixed effects modelling. All participants increased the percentage of time spent producing microstate D in at least one of the three conditions (p < 0.05). Significant between-subjects across-sessions results showed an increase of 0.42 % of time spent producing microstate D in baseline (reflecting a sustained change in the resting state), 1.93 % of increase during regulation and 1.83 % during transfer. Within-session analysis (performed in baseline and regulation trials only) showed a significant 1.65 % increase in baseline and 0.53 % increase in regulation. These values are in a range that is expected to have an impact upon psychotic experiences. Additionally, we found a negative correlation between alpha power and microstate D contribution during neurofeedback training. Given that microstate D has been related to attentional processes, this result provides further evidence that the training was to some degree specific for the attentional network. We conclude that microstate-neurofeedback training proved feasible in healthy subjects. The implementation of the same protocol in schizophrenia patients may promote skills useful to reduce positive symptoms by means of EEG-neurofeedback.

The Influence of Pre-stimulus EEG Activity on Reaction Time During a Verbal Sternberg Task is Related to Musical Expertise.

Previous work highlighted the possibility that musical training has an influence on cognitive functioning. The suggested reason for this influence is the strong recruitment of attention, planning, and working memory functions during playing a musical instrument. The purpose of the present work was twofold, namely to evaluate the general relationship between pre-stimulus electrophysiological activity and cognition, and more specifically the influence of musical expertise on working memory functions. With this purpose in mind, we used covariance mapping analyses to evaluate whether pre-stimulus electroencephalographic activity is predictive for reaction time during a visual working memory task (Sternberg paradigm) in musicians and non-musicians. In line with our hypothesis, we replicated previous findings pointing to a general predictive value of pre-stimulus activity for working memory performance. Most importantly, we also provide first evidence for an influence of musical expertise on working memory performance that could distinctively be predicted by pre-stimulus spectral power. Our results open novel perspectives for better comprehending the vast influences of musical expertise on cognition.

EEG-microstate dependent emergence of perceptual awareness.

We investigated whether the differences in perceptual awareness for stimuli at the threshold of awareness can arise from different global brain states before stimulus onset indexed by the EEG microstate. We used a metacontrast backward masking paradigm in which subjects had to discriminate between two weak stimuli and obtained measures of accuracy and awareness while their EEG was recorded from 256 channels. Comparing targets that were correctly identified with and without awareness allowed us to contrast differences in awareness while keeping performance constant for identical physical stimuli. Two distinct pre-stimulus scalp potential fields (microstate maps) dissociated correct identification with and without awareness, and their estimated intracranial generators were stronger in primary visual cortex before correct identification without awareness. This difference in activity cannot be explained by differences in alpha power or phase which were less reliably linked with differential pre-stimulus activation of primary visual cortex. Our results shed a new light on the function of pre-stimulus activity in early visual cortex in visual awareness and emphasize the importance of trial-by-trials analysis of the spatial configuration of the scalp potential field identified with multichannel EEG.