The effectiveness of glucocorticoid treatment in post-COVID-19 pulmonary involvement.

RATIONALE: Persistent respiratory symptoms following Coronavirus Disease 2019 (COVID-19) are associated with residual radiological changes in lung parenchyma, with a risk of development into lung fibrosis, and with impaired pulmonary function. Previous studies hinted at the possible efficacy of corticosteroids (CS) in facilitating the resolution of post-COVID residual changes in the lungs, but the available data is limited. AIM: To evaluate the effects of CS treatment in post-COVID respiratory syndrome patients. PATIENTS AND METHODS: Post-COVID patients were recruited into a prospective single-center observational study and scheduled for an initial (V1) and follow-up visit (V2) at the Department of Respiratory Medicine and Tuberculosis, University Hospital Olomouc, comprising of pulmonary function testing, chest x-ray, and complex clinical examination. The decision to administer CS or maintain watchful waiting (WW) was in line with Czech national guidelines. RESULTS: The study involved 2729 COVID-19 survivors (45.7% male; mean age: 54.6). From 2026 patients with complete V1 data, 131 patients were indicated for CS therapy. These patients showed significantly worse radiological and functional impairment at V1. Mean initial dose was 27.6 mg (SD ± 10,64), and the mean duration of CS therapy was 13.3 weeks (SD ± 10,06). Following therapy, significantly better improvement of static lung volumes and transfer factor for carbon monoxide (DLCO), and significantly better rates of good or complete radiological and subjective improvement were observed in the CS group compared to controls with available follow-up data (n = 894). CONCLUSION: Better improvement of pulmonary function, radiological findings and subjective symptoms were observed in patients CS compared to watchful waiting. Our findings suggest that glucocorticoid therapy could benefit selected patients with persistent dyspnea, significant radiological changes, and decreased DLCO.

Pupillography in contemporary sleep medicine - A narrative review.

Excessive daytime sleepiness (EDS) is a common symptom of sleep disorders such as narcolepsy, obstructive sleep apnea, and hypersomnia. The most common tools for assessing EDS are various specialized questionnaires such as Epworth Sleepiness Scale (ESS) and Stanford Sleepiness Scale (SSS). However, the scores obtained from self-rating questionnaires do not seem to measure physiological sleepiness but rather a more complex phenomenon of subjective sleepiness modulated by other factors such as motivation, expectation, and capability of self-perception. The golden standard for measuring physiological sleepiness and assessing EDS is the Multiple Sleep Latency Test (MSLT). However, MSLT is very time consuming and requires trained personnel and expensive equipment. Different method modifications are employed in various medical and industrial fields for different purposes. The infrared pupillography in darkness has the potential to measure objective physiological sleepiness, especially the Pupillographic Sleepiness Test (PST), which is the method of choice for pupillographic measurement of daytime sleepiness. The method has also been employed in several specific sleep disorders, outlining possible future usage. This narrative review summarizes the current state of knowledge on the relevance and usefulness of pupillography in sleep medicine.

Cognitive Functions, Depressive and Anxiety Symptoms After One Year of CPAP Treatment in Obstructive Sleep Apnea.

Objective: The study worked with depressive symptoms, anxiety score and cognitive functions in obstructive sleep apnea (OSA) patients treated with CPAP. Methods: Eighty-one subjects with OSA and without psychiatric comorbidity were treated with CPAP for one year and completed the following scales and cognitive tests: Trail Making Test, Verbal Fluency Test, d2 Test, Beck Depression Inventory-II and Beck Anxiety Inventory. MINI ruled out psychiatric disorder. At the two months check-up, subjects were re-evaluated for depressive and anxiety symptoms, and after one year of CPAP treatment, subjects repeated cognitive tests and scales. Data about therapy adherence and effectiveness were obtained from the patient's CPAP machines. Results: The study was completed by 59 CPAP adherent patients and eight non-adherent patients. CPAP therapy effectiveness was verified in all patients by decreasing the apnea-hypopnoea index below 5 and/or 10% of baseline values. The adherent patients significantly improved depressive and anxiety symptoms. There was also an improvement in overall performance in the attention test; however, performance in many individual items did not change. The adherent patients also improved verbal fluency and in the Part B of the Trail making test. The non-adherent group significantly increased the number of mistakes made in the d2 test; other results were non-significant. Conclusion: According to our results, OSA patients' mood, anxiety and certain cognitive domains improved during the one-year therapy with CPAP. Trial Registration Number: NCT03866161.

Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19.

Pulmonary fibrosis is one of the most severe long-term consequences of COVID-19. Corticosteroid treatment increases the chances of recovery; unfortunately, it can also have side effects. Therefore, we aimed to develop prediction models for a personalized selection of patients benefiting from corticotherapy. The experiment utilized various algorithms, including Logistic Regression, k-NN, Decision Tree, XGBoost, Random Forest, SVM, MLP, AdaBoost, and LGBM. In addition easily human-interpretable model is presented. All algorithms were trained on a dataset consisting of a total of 281 patients. Every patient conducted an examination at the start and three months after the post-COVID treatment. The examination comprised a physical examination, blood tests, functional lung tests, and an assessment of health state based on X-ray and HRCT. The Decision tree algorithm achieved balanced accuracy (BA) of 73.52%, ROC-AUC of 74.69%, and 71.70% F1 score. Other algorithms achieving high accuracy included Random Forest (BA 70.00%, ROC-AUC 70.62%, 67.92% F1 score) and AdaBoost (BA 70.37%, ROC-AUC 63.58%, 70.18% F1 score). The experiments prove that information obtained during the initiation of the post-COVID-19 treatment can be used to predict whether the patient will benefit from corticotherapy. The presented predictive models can be used by clinicians to make personalized treatment decisions.

Long-Term Follow-Up of Patients Needing Extracorporeal Membrane Oxygenation Following a Critical Course of COVID-19.

INTRODUCTION: Severe respiratory failure is one of the most serious complications of coronavirus disease 2019 (COVID-19). In a small proportion of patients, mechanical ventilation fails to provide adequate oxygenation and extracorporeal membrane oxygenation (ECMO) is needed. The surviving individuals need long-term follow-up as it is not clear what their prognosis is. AIM: To provide a complex clinical picture of patients during follow-up exceeding one year after the ECMO therapy due to severe COVID-19. METHODS: All subjects involved in the study required ECMO in the acute stage of COVID-19. The survivors were followed-up for over one year at a specialized respiratory medical center. RESULTS: Of the 41 patients indicated for ECMO, 17 patients (64.7% males) survived. The average age of survivors was 47.8 years, and the average BMI was 34.7 kg·m-2. The duration of ECMO support was 9.4 days. A mild decrease in vital capacity (VC) and transfer factor (DLCO) was observed on the initial follow-up visit (82.1% and 60%, respectively). VC improved by 6.2% and by an additional 7.5% after 6 months and 1 year, respectively. DLCO improved by 21.1% after 6 months and remained stable after 1 year. Post-intensive care consequences included psychological problems and neurological impairment in 29% of patients; 64.7% of the survivors got vaccinated against SARS-CoV-2 within 12 months of hospitalization and 17.6% experienced reinfection with a mild course. CONCLUSION: The COVID-19 pandemic has significantly increased the need for ECMO. Patients' quality of life after ECMO is temporarily significantly reduced but most patients do not experience permanent disability.

The use of extracorporeal membrane oxygenation in the treatment of critical course of pneumonia.

Extracorporeal membrane oxygenation is the highest form of resuscitation care in management of patients with respiratory failure. In the case of acute respiratory distress syndrome, the veno-venous setting is more often used. ECMO support enables, in case of lung function failure, to obtain the necessary time for the onset of the causal treatment effect or is used as a bridge to transplantation Mortality of the patients varies according to the underlying cause and presence of risk factors (e.g., age, complications or comorbid diseases). The onset of the COVID-19 pandemic has led to a significant increase in the need for ECMO. The quality of life of patients after ECMO is significantly reduced, but most patients do not experience permanent disability.

Post-COVID Syndrome and Cardiorespiratory Fitness-26-Month Experience of Single Center.

INTRODUCTION: Persistent post-COVID syndrome, also referred to as long COVID, is a pathologic entity that involves persistent physical, medical, and cognitive sequelae following COVID-19. Decreased fitness has repeatedly been reported in numerous studies dealing with post-COVID syndrome, however, it is still not fully clear which groups of patients may be more susceptible for persisting symptoms. AIM: The aim of our study was to evaluate the number of post-COVID patients with cardiac symptoms, where these patients were evaluated by CPET and the results compared with a control group of patients. METHODS: Follow-up of patients in post-COVID outpatient clinic from 1 March 2020 to 31 May 2022. Inclusion criteria were positive PCR test for SARS-CoV-2 and age 18-100. The initial examination was performed 4-12 weeks after the disease onset. All patients with possible cardiac symptoms had completed cardiopulmonary exercise testing. The control group was randomly selected from a database of clients in 2019, with the preventive reason for evaluation. RESULTS: From 1 March 2020 to 31 May 2022, 2732 patients (45.7% males) were evaluated with a mean age of 54.6 ± 14.7. CPET was indicated only in 97 patients (3.5%). Seventy-four patients (26 male) achieved the exercise maximum and a comparison were made with a control group (same age (p = 0.801), BMI (p = 0.721), and sex ratio). No significant dependence between the parameter VO2 max mL/kg/min and post-COVID disability was demonstrated (p = 0.412). Spearman's correlation analysis did not show a significant relationship between the parameter VO2 max mL/kg/min and the severity of COVID-19 (p = 0.285). CONCLUSIONS: Cardiac symptoms occurred in only a small percentage of patients in our study. There is a need for further studies that would objectively evaluate the effect of COVID-19 disease on the patient's health.

Prevalence of Burnout in Healthcare Workers of Tertiary-Care Hospitals during the COVID-19 Pandemic: A Cross-Sectional Survey from Two Central European Countries.

COVID-19 has led to an unprecedented strain on healthcare workers (HCWs). This study aimed to determine the prevalence of burnout in hospital employees during a prolonged pandemic-induced burden on healthcare systems. An online survey among employees of a Czech and Slovak university hospital was conducted between November 2021 and January 2022, approximately when the incidence rates peaked in both countries. The Maslach Burnout Inventory-Human Services Survey was applied. We obtained 807 completed questionnaires (75.1% from Czech employees, 91.2% from HCWs, 76.2% from women; mean age of 42.1 ± 11 years). Burnout in emotional exhaustion (EE) was found in 53.2%, depersonalization (DP) in 33%, and personal accomplishment (PA) in 47.8% of respondents. In total, 148 (18.3%) participants showed burnout in all dimensions, 184 (22.8%) in two, and 269 (33.3%) in at least one dimension. Burnout in EE and DP (65% and 43.7%) prevailed in physicians compared to other HCWs (48.6% and 28.8%). Respondents from COVID-19-dedicated units achieved burnout in the EE and DP dimensions with higher rates than non-frontline HCWs (58.1% and 40.9% vs. 49.9% and 27.7%). Almost two years of the previous overloading of healthcare services, caused by the COVID-19 pandemic, resulted in the relatively high prevalence of burnout in HCWs, especially in physicians and frontline HCWs.

Cutoff Values of MASK-air Patient-Reported Outcome Measures.

BACKGROUND: In clinical and epidemiological studies, cutoffs of patient-reported outcome measures can be used to classify patients into groups of statistical and clinical relevance. However, visual analog scale (VAS) cutoffs in MASK-air have not been tested. OBJECTIVE: To calculate cutoffs for VAS global, nasal, ocular, and asthma symptoms. METHODS: In a cross-sectional study design of all MASK-air participants, we compared (1) approaches based on the percentiles (tertiles or quartiles) of VAS distributions and (2) data-driven approaches based on clusters of data from 2 comparators (VAS work and VAS sleep). We then performed sensitivity analyses for individual countries and for VAS levels corresponding to full allergy control. Finally, we tested the different approaches using MASK-air real-world cross-sectional and longitudinal data to assess the most relevant cutoffs. RESULTS: We assessed 395,223 days from 23,201 MASK-air users with self-reported allergic rhinitis. The percentile-oriented approach resulted in lower cutoff values than the data-driven approach. We obtained consistent results in the data-driven approach. Following the latter, the proposed cutoff differentiating "controlled" and "partly-controlled" patients was similar to the cutoff value that had been arbitrarily used (20/100). However, a lower cutoff was obtained to differentiate between "partly-controlled" and "uncontrolled" patients (35 vs the arbitrarily-used value of 50/100). CONCLUSIONS: Using a data-driven approach, we were able to define cutoff values for MASK-air VASs on allergy and asthma symptoms. This may allow for a better classification of patients with rhinitis and asthma according to different levels of control, supporting improved disease management.

Clinical presentation and pulmonary function tests in post-acute COVID-19 patients.

AIMS: The study analysed post-acute COVID-19 symptoms and the pulmonary function test (PFT) results in patients surviving the native strain of the virus. METHODS: The study was prospective; the inclusion criteria were positive PCR test for SARS-CoV-2 and age 18-100. Exclusion criteria were active respiratory infection, known or suspicious pre-existing pulmonary disease, cardiac failure, recent or acute pulmonary embolism, anaemia, and neuromuscular diseases. The recruitment period was 1st March 2020 - 25th December 2020. The initial examination was performed 4-12 weeks after the disease onset. All subjects underwent physical examination, anamnesis, chest x-ray and PFT. RESULTS: The study involved 785 subjects (345 male) mean age 53.8 (SD 14.6). The disease severity groups were: mild (G1), moderate (G2) and severe/critical (G3). Anosmia was present in the acute disease phase in 45.2% of G1 patients, but only in 4.5% of G3 patients. Dyspnoea occurred frequently in more severe groups (40%, 51.8% and 63.7% for G1, G2 and G3 respectively), while cough and fatigue showed no relationship to disease severity. Females were more likely to experience persistent symptoms. PFT results were significantly decreased in more severe groups compared to the mild COVID-19 patients, diffusing capacity was 86.3%, 79% and 68% of predicted values in G1, G2 and G3 respectively. CONCLUSION: Anosmia during the acute phase was associated with mild disease, persisting dyspnoea was more frequent after more severe COVID-19. Females tended to have persisting symptoms in post-acute phase more frequently. PFT results showed decrease with disease severity.

Screening for obstructive sleep apnoea in high-risk patients with mood disorders.

OBJECTIVE: Our study aimed to screen for obstructive sleep apnoea (OSA) in a clinical population of psychiatric patients with affective disorders and risk factors for OSA using screening devices in psychiatric clinical environments. METHODS: Inpatients admitted with mood disorders in an inpatient psychiatric department were selected via inclusion and exclusion criteria and assessed for the risk factors of OSA. The inclusion criteria were: a diagnosis of an affective disorder confirmed by two independent psychiatrists, snoring or apnoeic pauses witnessed during regular night check-ups by nurses, and BMI > 25 kg/m2. The exclusion criteria were: a comorbid psychotic disorder, previously diagnosed OSA, intellectual disability, organic mental illness, acute coronary syndrome, acute or chronic heart failure, acute pulmonary diseases, a history of stroke, neuromuscular disorders, or a myorelaxant treatment. All included patients underwent overnight monitoring by a screening device SomnoCHECK Micro Cardio. A certified somnologist assessed obtained data. RESULTS: A total of 32 subjects (23 women and nine men) were included in the study. The mean age was 49.8 ± 8.8 years. Most participants had major depressive disorder (n = 23); another nine individuals had bipolar disorder. Diagnostic criteria for OSA were found in 50% of the sample, specifically in 88% of men and 33% of women. The correlation analysis identified several risk factors and variables. CONCLUSIONS: This pilot study showed an increased risk of OSA in patients with mood disorders. Psychiatric patients with identified risk factors should be routinely screened for obstructive sleep apnoea and referred to proper treatment.

Risk of Severe COVID-19 in Non-Adherent OSA Patients.

Background: Patients with obstructive sleep apnoea (OSA) are at increased risk of severe course of COVID-19. Vaccination remains to be the most effective prevention of complicated courses of infection. The best contemporary conservative treatment of OSA is continuous positive airway pressure (CPAP) therapy. Purpose: To compare vaccination acceptance and outcomes of COVID-19 infection between OSA patients adhering to the CPAP therapy and those who rejected CPAP and surgical therapy. Patients and Methods: Subjects were divided into two groups: group A (N = 167) were individuals with sufficient CPAP adherence (more than 4 hours per night on average) over the last 10 years. Group B (N = 106) were individuals who did not use the CPAP therapy at all and had no indications to surgical therapy. Results: Three patients in group B died, and one had a severe course of COVID-19. None of the patients in group A died or experienced a severe course of COVID-19. Group A had a significantly higher proportion of males (77.8% compared to 66% in group B) and all parameters of OSA severity. The vaccination status was similar among both groups, with a complete triple dose vaccination rate of 69.5% and 67.9% in groups A and B, respectively. Conclusion: The results show that the patients with OSA adherent to CPAP therapy were less likely to experience a severe course of COVID-19 or death than the OSA patients non-compliant with therapy, despite the former group having more severe OSA. This result underlines the importance of adherence to CPAP therapy in OSA.

Network Analysis for Uncovering the Relationship between Host Response and Clinical Factors to Virus Pathogen: Lessons from SARS-CoV-2.

Analysing complex datasets while maintaining the interpretability and explainability of outcomes for clinicians and patients is challenging, not only in viral infections. These datasets often include a variety of heterogeneous clinical, demographic, laboratory, and personal data, and it is not a single factor but a combination of multiple factors that contribute to patient characterisation and host response. Therefore, multivariate approaches are needed to analyse these complex patient datasets, which are impossible to analyse with univariate comparisons (e.g., one immune cell subset versus one clinical factor). Using a SARS-CoV-2 infection as an example, we employed a patient similarity network (PSN) approach to assess the relationship between host immune factors and the clinical course of infection and performed visualisation and data interpretation. A PSN analysis of ~85 immunological (cellular and humoral) and ~70 clinical factors in 250 recruited patients with coronavirus disease (COVID-19) who were sampled four to eight weeks after a PCR-confirmed SARS-CoV-2 infection identified a minimal immune signature, as well as clinical and laboratory factors strongly associated with disease severity. Our study demonstrates the benefits of implementing multivariate network approaches to identify relevant factors and visualise their relationships in a SARS-CoV-2 infection, but the model is generally applicable to any complex dataset.

COVID-19 and post-COVID - Jekyll and Hyde of modern medicine.

COVID-19 pandemic has massive impact on the whole world, lead to the death of milions of people and required excessive restrictions with large economical, psychological and other impacts. Post-COVID syndrome is defined according to the Czech pneumological and phtizeological society as a complex of symptoms persisting for more than 12 weeks from the acute stage of COVID-19 and which is not possible to explain by other causes. Exact pathopysiological mechanisms and its frequency are still not known, and the data from the literature are not consisent. We present case reports of 2 patients with very different disease and convalescence course. COVID-19 and post-COVID syndrome represent large space for the further research. The prediction of the persisting limitations and other consequencies of the diseases is still not possible. Even though there is usualy higher incidence of post-COVID symptoms in patients surviving severe COVID-19 course, the presented case reports show paradoxically exactly the oposite situation.

Chronic lung diseases and sleep.

Sleep is vitally important part of our life. Its quality and quantity influence all physiological processes in our organism. The relationship between the lung diseases and sleep is bidirectional - the lack of quality sleep worsens the compensation and the course of the diseases and in the same time chronic lung diseases are negatively affecting sleep quality. The coexistence of the sleep disordered breathing and lung disorders is another important issue to discuss. In case of chronic obstructive pulmonary disease the overlap with sleep disordered breathing is characterized by higher prevalence of hypercapnia and overall worse prognosis. Moreover, there is a growing body of evidence about possible links of sleep disordered breathing to lung fibrosis and tumors. The complex healthcare in patients with respiratory diseases should not omit sleep examination.

[Respiratory manifestations of post-COVID syndrome].

Overcoming infection with coronavirus disease 2019 (COVID-19) can lead to the persistence of various symptoms in some patients. The complex of symptoms causally related to severe acute respiratory coronavirus 2 infection is called post-COVID syndrome. One of the most common respiratory complications is pulmonary fibrosis, especially after critical course of the disease. In some patients, however, only the peripheral airways are affected by the air-trapping seen on high-resolution computed tomography scans. Less common respiratory complications include sarcoidosis and pneumatoceles. This narrative review summarizes current knowledge about pulmonary involvement as part of post-COVID syndrome.

Adherence of obstructive sleep apnoea syndrome patients to positive airway pressure therapy - 10-year follow-up.

PURPOSE: Continuous positive airway pressure (CPAP) is the most effective therapy for obstructive sleep apnoea syndrome (OSAS). Long-term adherence is necessary; however, it may be widely variable based on current literature, where the predicting factors are also not well defined. The aim of this study was to assess ten-year adherence to CPAP and to define factors influencing it. METHODS: In total, 107 patients (91 males) were enrolled in this study, with an average age of 53.5 years (SD 10.1), with CPAP therapy being indicated (Apnoea-Hypopnoea Index - AHI > 15). Anthropometric and social status data have been obtained as well as the average use of CPAP through device memory. RESULTS: Sufficient adherence (> 4 h per night) was found in 57% of patients in the first year with no subsequent significant change during the next 9 years. Adherence correlated significantly with the severity of OSAS - AHI (r = 0.321 over 5 years) and Epworth Sleepiness Scale (r = 0.317 over ten years) but did not correlate with the pressure used or the age of the patient. No statistically significant differences have been found between the sexes, the different mask groups, or the social status groups. CONCLUSION: Good adherence to CPAP therapy in OSAS patients is essential. According to our results, patients with more severe OSAS or more severe sleepiness seem to have better adherence.

Sleep Disturbances in Patients with Nonepileptic Seizures.

OBJECTIVE: Up to 20% of patients treated for epileptic seizures experience psychogenic nonepileptic paroxysms (PNES). These patients present a significant burden for the health care systems because of poor treatment outcomes. The presented review aims to summarize the current state of knowledge on sleep disturbances in patients with nonepileptic seizures. METHODS: Articles were acquired via PubMed and Web of Science, and papers between January 1990 and March 2020 were extracted. Inclusion criteria were (1) published in a peer-reviewed journal: (2) studies in humans only; or (3) reviews on a related topic; (4) English language. The exclusion criteria were: (1) abstracts from conferences; (2) commentaries; (3) subjects younger than 18 years. From primary assessment, 122 articles were extracted; after obtaining full texts and secondary articles from reference lists, 45 papers were used in this review. RESULTS: Limited data are available regarding sleep disorders in PNES patients, over the last 30 years only nine original research papers addressed sleep problems in patients with PNES with only six studies assessing objectively measured changes in sleep. Current literature supports the subjective perception of the sleep disturbances with mixed results in objective pathophysiological findings. Conflicting results regarding the REM phase can be found, and studies reported both shortening and prolonging of the REM phase with methodological limitations. Poor sleep quality and shortened duration have been consistently described in most of the studies. CONCLUSION: Further research on a broader spectrum of patients with PNES is needed, primarily focusing on objective neurophysiological findings. Quality of life in patients suffering from PNES can be increased by good sleep habits and treatment of comorbid sleep disorders.

Bilateral multiple pneumatocele as a rare late complication of COVID-19 pneumonia.

Pneumatocele is a cavity, which may develop rarely as a complication of pneumonia. It is more common in patients requiring ventilation support. After COVID-19 pneumonia, there are only several case reports described. Our case report is about a male patient without any serious commorbities. The patient had bilateral multiple pneumatocele which have formed in postacute phase of moderate course of COVID-19. Other possible causes have been exluded by a complex examination. During the follow-up there was a clear gradual spontaneous resorption of the finding. The patient is still in very good clinical condition.

Inhaled glucocorticoids in treatment of covid-19.

Covid-19 pandemic affects heavily different health care systems. The most important factor/aspect is high number of hospitalized patients in countries with low level of infrastructure. Because of this, many therapeutic methods reducing the risk of more severe course of disease are now under development. The key part of this review is the STOIC trial, which is the largest, randomized trial assessing the effect of inhaled glucocorticoid treatment on the risk of hospitalization due to covid-19.