The Challenges of Caregivers of Children with Autism Spectrum Disorders Comorbidity during the COVID-19 Pandemic in Serbia.

BACKGROUND: Children with Autism Spectrum Disorders (ASD) experience significantly higher prevalence of other mental disorders, which amplifies their need for overall support. The outbreak of novel coronavirus (COVID-19) resulted in restrictions and limited access to different services with great challenge for families and children with ASD. SUBJECTS AND METHODS: We used an electronic SurveyMonkey questionnaire to examine the experiences of 114 caregivers of children with ASD. We compared: (a) level of support by the child's school, changes in child behavior, and priority needs for families of ASD and ASD with comorbidities (ASD+) children, during pandemic, and (b) developmental history and diagnosis for ASD and ASD+ children before the pandemic. RESULTS: Our research shows significant behavioral difficulties in the population with ASD and ASD+ that arose in the field of altered living conditions and overall functioning during the COVID-19 pandemic. Statistically significant results comparing ASD to ASD+ children we found in area of getting additional help and support before the outbreak of the pandemic (47.1% vs 16.0%, p=0.002), as well as in worsening of sleep problems, statistically significant more common in children with ASD+ (ASD+ 47.7% vs. ASD 25.7%, p=0.046). CONCLUSIONS: Our findings can contribute to the faster development and implementation of protocols for dealing with situations such as pandemics, related to the vulnerable population of children with ASD and their caregivers.

The Cuts Selection Method Based on Histogram Segmentation and Impact on Discretization Algorithms.

The preprocessing of data is an important task in rough set theory as well as in Entropy. The discretization of data as part of the preprocessing of data is a very influential process. Is there a connection between the segmentation of the data histogram and data discretization? The authors propose a novel data segmentation technique based on a histogram with regard to the quality of a data discretization. The significance of a cut's position has been researched on several groups of histograms. A data set reduct was observed with respect to the histogram type. Connections between the data histograms and cuts, reduct and the classification rules have been researched. The result is that the reduct attributes have a more irregular histogram than attributes out of the reduct. The following discretization algorithms were used: the entropy algorithm and the Maximal Discernibility algorithm developed in rough set theory. This article presents the Cuts Selection Method based on histogram segmentation, reduct of data and MD algorithm of discretization. An application on the selected database shows that the benefits of a selection of cuts relies on histogram segmentation. The results of the classification were compared with the results of the Naïve Bayes algorithm.

The influence of the COVID-19 pandemic on patients with chronic inflammatory demyelinating polyradiculoneuropathy.

OBJECTIVES: At a time of global health crisis, fear, anxiety, and stress levels increase. The effects of protracted social isolation, and media related misinformation's about the coronavirus disease 2019 (COVID-19) resulting in increased fear/stress related to the insufficiently known illness. The aim was to assess the influence of the COVID-19 health crisis on patients with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). METHODS: A cross-sectional study on 29 adult CIDP patients was performed. The Medical Research Council scale was used to evaluate muscle strength. The degree of functional disability was measured using the Inflammatory Neuropathy Cause and Treatment disability scale. The overall quality of life (QoL) was self-estimated on a 0-100 numeric rating scale. We also used a specifically designed 22-question-survey about COVID-19. RESULTS: Regarding the COVID-19 pandemic, 62% of CIDP patients were concerned. The daily activities of 55% of patients were negatively influenced by the pandemic. During the COVID-19 outbreak, 21% of patients reported their CIDP got worse. In 39% of CIDP patients, the influence of the pandemic on CIDP therapy was reported (reducing the dose or time interval or even discontinuation). The mean value of the self-estimated QoL was 64 ± 19. Independent predictors of worse QoL were age of patients (beta = -0.35, p < 0.05) and fear of the COVID-19 (beta = -0.34, p < 0.05). CONCLUSION: The COVID-19 pandemic has a significant impact on CIDP patients. Besides the direct influence of the virus and fear of the virus, restrictive measures can indirectly harm the patients with CIDP.

Quality of sleep and fatigue in patients with the relapsing-remitting multiple sclerosis during the coronavirus disease-2019 pandemic.

ОBJECTIVE: Sleep disturbances and fatigue are frequent symptoms in multiple sclerosis patients. The aim was to assess the quality of sleep (QoS) and fatigue in patients with the relapsing-remitting multiple sclerosis (RRMS), during the coronavirus disease-2019 (COVID-19) pandemic. METHODS: The study included 67 patients with RRMS and 85 healthy control subjects. RRMS patients, who were tested in first half of 2019, were retested in April and May 2020, during the COVID-19 pandemic. We collected sociodemographic and clinical data, and also used the following questionnaires: Pittsburgh sleep quality index (PSQI), Fatigue Severity Scale (FSS), and Multiple Sclerosis Quality of Life-54 Instrument (MSQOL-54). RESULTS: The FSS score and PSQI global score were significantly higher in patients with RRMS than in the control group (p < 0.01). We noticed a statistically significant difference between the results obtained a year ago and the results during the COVID-19 pandemic in PSQI global score (p < 0.01) and all subscores. Higher disability status was an independent predictor of the worse PSQI scores. CONCLUSION: During the COVID-19 outbreak worse QoS were noticed in RRMS patients than in healthy individuals. Also, QoS of RRMS patients is more affected during the COVID-19 pandemic than in regular circumstances. High levels of sleep disturbance and fatigue in RRMS patients correlates with worse life quality, female gender, lower educational level and partner status. The results of the present study provide evidence in support of regular screening and monitoring of fatigue and QoS in this patient population, especially during the pandemic states.

Quality of sleep and health-related quality of life among health care professionals treating patients with coronavirus disease-19.

BACKGROUND: Health care professionals exposed to coronavirus disease 2019 (COVID-19) are facing high levels of stress. AIM: The aim was to evaluate the quality of sleep (QoS) and health-related quality of life (HRQoL), among health care professionals treating patients with COVID-19, as well as quantifying the magnitude of symptoms of depression and levels of anxiety. METHODS: We included 201 health care professionals in a cross-sectional, web-based study by applying 7-item Generalized Anxiety Disorder (GAD-7) Scale, Zung Self-rating Depression Scale, 36-item Health Survey of the Medical Outcomes Study Short Form (SF36), Pittsburgh Sleep Quality Index (PSQI) and additional survey constructed for the purpose of the study. RESULTS: Health care workers who treated COVID-19 patients were more afraid of becoming infected or of transmitting the infection to a family member with a significantly low self-assessment of their mental status. Poor QoS and HRQoL correlated with high health anxiety and severe depressive symptoms and several demographic characteristics. Multiple linear regression analysis showed that higher scores on GAD-7 (beta = .71, p < .01) and lower scores on mental health (MH) subscale on SF36 questionnaire (beta = -.69; p < .01) were independent predictors of the higher PSQI score (adjusted R2 = .61, p < .01 for overall model). Higher scores on GAD-7 (beta = .68, p < .01) and worse self-perceived mental status (beta = .25; p < .05) were independent predictors of the lower SF36 scores (adjusted R2 = .73, p < .01 for overall model). CONCLUSION: The major MH burden of health care professionals treating infected patients during the COVID-19 pandemic indicates that they need psychological support.

The risk for nonpsychotic postpartum mood and anxiety disorders during the COVID-19 pandemic.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) appears to be the largest pandemic of our times. The aim was to recognize the risk factors for nonpsychotic postpartum mood and anxiety disorders (NPMADs) in women during the pandemic and state of emergency police lockdown in Serbia. METHODS: We assessed 108 postpartum women who completed the Edinburgh Postnatal Depression Scale (EPDS) and an additional survey constructed for this study. We also used the additional, previously mentioned survey, in 67 healthy age-matched women with children who were ≥2 years of age. The additional survey allowed us to gain insight into the impact of the pandemic as well as postpartum period on the risk of NPMADs. RESULTS: In 16 (14.8%) subjects we found a score ≥10 on EPDS. Higher rates on the EPDS were noticed in elderly, single, and unemployed, women who lost their jobs due to the pandemic, or women who were dissatisfied with their household income (p < 0.05). The risk of NPMADs was linked significantly to quarantine, and social isolation, the absence of social support, as well as having emotional problems. Postpartum women, compared to non-postpartum women, were more anxious and had feelings of helplessness during social isolation. CONCLUSION: Understanding the factors that increase the risk of NPMADs during the pandemic could help prevent mental disorders during a possible future pandemic.

The Impact of the Coronavirus Disease-2019 Pandemic on the Psychological Status and Quality of Life of Myasthenia Gravis Patients.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) is the largest pandemic of our times. We wanted to investigate the impact of COVID-19 pandemic on the psychological status, quality of life (QoL) and quality of sleep (QoS) of myasthenia gravis (MG) patients. METHODS: Data on the epidemiological and clinical characteristics of MG were collected. We used a self-designed questionnaire (consisting of 12 questions), a revised 15-item Myasthenia Gravis Quality of Life Questionnaire (MGQOL15r), a 36-item health survey of the Medical Outcomes Study Short Form (SF36), Pittsburgh sleep quality index (PSQI), Hamilton scales for the assessment of anxiety (HAM-A), and depression (HAMD) were used. We reassessed patients who were tested three years ago using the same questionnaires. RESULTS: The study included 64 MG patients. We noticed a statistically significant difference between the results obtained three years ago and the results from April 2020 in PSQI scores (P < 0.01). MGQOL15r, SF36, and PSQI scores correlate with severe clinical manifestation, high scores on HAM-A and HAM-D (P < 0.01). Higher scores on HAM-D and fear that MG symptoms will be worse if the patient gets an upper respiratory infection were independent predictors of the lower SF36 scores. Regarding MGQOL15r-independent predictors of the higher score were higher scores on HAM-D. CONCLUSIONS: There is a significant impact of the COVID-19 epidemic on the psychological status and especially on the quality of sleep of MG patients. Healthcare organizations need to provide professional therapeutic advice and psychosocial support for this population of patients during the pandemic.

Psychological status of patients with relapsing-remitting multiple sclerosis during coronavirus disease-2019 outbreak.

BACKGROUND: The coronavirus disease 2019 (COVID-19) is a global health emergency. The aim was to investigate the impact of COVID-19 pandemic on the psychological status of patients with relapsing-remitting multiple sclerosis (RRMS). METHODS: Data on the socio-demographic and clinical characteristics of 95 RRMS patients were collected. We used a self-designed questionnaire, the Multiple Sclerosis Quality of Life-54 Instrument (MSQOL-54), Hamilton scales for the assessment of anxiety (HAM-A), and depression (HAM-D). Patients who were tested one year ago were reassessed using the same questionnaires during the COVID-19 outbreak. Group of 99 healthy individuals (HC) were tested, using the same questionnaires. RESULTS: The main concerns in RRMS patients were that someone that they know could be infected with COVID-19 (78.5%), or could die due to the infection (33.8%), and the lack of specific treatment options (25.8%). The main concerns about the RRMS status were that their disease would be worse if they get infected with COVID-19 (36.4%), that they would experience some difficulties in drug availability (43.6%), that they could not go to the hospital as usual (72.4%). Results on all questionnaires were worse in RRMS patients than in HC (p<0.01). We noticed a statistically significant difference between the results obtained a year ago and the results from April 2020 in HAM-A (p<0.05). CONCLUSIONS: There is an impact of the COVID-19 pandemic on the psychological status of RRMS patients. Healthcare organizations need to provide professional therapeutic advice and psychosocial support for this population of patients during the pandemic.

Quality of Life of Myasthenia Gravis Patients in Regard to Epidemiological and Clinical Characteristics of the Disease.

BACKGROUND: Myasthenia gravis (MG) affects overall quality of life (QoL). The aim of the research was to evaluate QoL in patients suffering from MG in regard to epidemiological and clinical factors of the disease. METHODS: The study included 70 patients. The severity of clinical manifestation was estimated using quantitative MG score and MG composite score. Patients were classified by using Myasthenia Gravis Foundation of America Classification. The Questionnaire of Life Quality Specific for Myasthenia Gravis-15 items (MGQOL15) is developed for QoL assessment in patients suffering from MG. In addition to the MGQOL15 revised version (MGQOL15r), a 36-item health survey of the Medical Outcomes Study Short Form (SF36) questionnaire, the Hamilton scales for the assessment of anxiety (HAM-A), and depression (HAM-D) were also used. RESULTS: MGQOL15r scores are negatively correlated with SF36 scores and positively correlated with scores on HAM-A and HAM-D scales (P<0.001). Patients with longer disease duration and severe clinical manifestation often manifest anxiety, depression, and have poorer QoL (P<0.05). In relation to the presence of the anti-nAchR antibody, statistically significant differences were found in relation to the summed scores on scales for assessing QoL, as well as on a HAM-A scale (P<0.05). Physical workers and unemployed patients had worse scores in relation to retired and administrators/intellectual workers on all scales (P<0.001). CONCLUSION: MGQOL15r is a life quality assessment questionnaire that could be used in routine practice in patients with MG. It is much simpler for use in these patients than SF36 and provides relevant data.