Improving Neuropsychological Rehabilitation for COVID-19 Patients Guideline-Based Advances

Cognitive sequelae after recovery from an initial COVID-19 disease are present in a subset of affected individuals, coalescing around several important issues such as effects of age, COVID-19 disease severity, comorbidities, and other factors. Some neuropsychological symptoms appear more common among certain patient populations. Comorbidities may complicate neuropsychological assessment as well. Hence, we need a guideline-based evaluation to guide neuropsychological rehabilitation. Drawing from the recent revision of the German National Guideline for the Long- and Post-COVID Syndrome and current advances in international guidance on neuropsychological assessment, this article provides practical and scientifically informed recommendations for the neuropsychological assessment of individuals recovering from coronavirus-related diseases.

Self-Tracking to Do Less: An Autoethnography of Long COVID That Informs the Design of Pacing Technologies

Long COVID is a post-viral illness where symptoms are still experienced more than three months after an infection of COVID 19. In line with a recent shift within HCI and research on self-tracking towards first-person methodologies, I present the results of an 18-month long autoethnographic study of using a Fitbit fitness tracker whilst having long COVID. In contrast to its designed intentions, I misused my Fitbit to do less in order to pace and manage my illness. My autoethnography illustrates three modes of using fitness tracking technologies to do less and points to the new design space of technologies for reducing, rather than increasing, activity in order to manage chronic illnesses where over-exertion would lead to a worsening of symptoms. I propose that these "pacing technologies"should acknowledge the interoceptive and fluctuating nature of the user's body and support user's decision-making when managing long-term illness and maintaining quality of life. © 2023 Owner/Author.

Long-term coagulation abnormalities after COVID-19.

Objective: Hypercoagulation and high incidence of thrombosis during COVID-19 is well established. However, there is a lack of data, how it changes over time. The main purpose of our study was to access different parts of hemostasis in few months after acute disease. Material and methods. Patients discharged from our hospital were invited for follow up examination in 2,3-3,8 (group 1 - 55 pts) or 4,6-5,7 months (group 2 - 45 pts) after admission. Control group (37 healthy adults) had been collected before pandemic started. Standard coagulation tests, aggregometry, thrombodynamics and fibrinolysis results were compared between groups. Result(s): D-dimer was significantly higher, and was APPT was significantly lower in group 2 compared to group 1, while fibrinogen, prothrombin levels didn't differ. Platelet aggregation induced by ASA, ADP, TRAP, spontaneous aggregation didn't differ significantly between groups. Thrombodynamics revealed hypocoagulation in both group 1 and group 2 compared to control: V, mum/min 27,3 (Interquartile range (IQR) 26,3;29,4) and 28,3 (IQR 26,5;30,1) vs. 32,6 (IQR 30,4;35,9) respectively;all p < 0,001. Clot size and density in both group 1 and group 2 were significantly lower than in control group. Fibrinolysis appeared to be enhanced in x2 compared to control and group 1. Lysis progression, %/min was higher: 3,5 (2,5;4,8) vs. 2,4 (1,6;3,5) and 2,6 (2,2;3,4) respectively, all p < 0,05. Lysis onset time in both group 1 and group 2 was significantly shorter compared to control. Conclusion(s): We revealed normalization of parameters of clot formation process in 2-6 months after COVID-19, while fibrinolysis remained still enhanced. Further study is required to investigate the clinical significance of these changes.Copyright © Creative Cardiology 2021.

Atrial electromechanical delay in post-COVID-19 postural orthostatic tachycardia: Innocent bystander or pathologic factor.

BACKGROUND: Post-COVID-19 syndrome represents a wide range of ongoing symptoms that persist beyond weeks or even months, after recovery from the acute phase. Postural orthostatic tachycardia (POT) is one of these symptoms with a poorly recognized underlying pathophysiology. PURPOSE: We aimed to investigate atrial electromechanical delay (AEMD), demonstrated by electrocardiographic P wave dispersion (PWD) and tissue Doppler echocardiography (TDE) in patients with POST-COVID-19 POT (PCPOT). METHODS: 94 post-COVID-19 patients were enrolled and classified into two groups; PCPOT group, 34 (36.1%) patients, and normal heart rate (NR group), 60 (63.9%) patients. 31.9% of them were males and 68.1% were females, with a mean age of 35 ± 9 years. Both groups were compared in terms of PWD and AEMD. RESULTS: As compared to the NR group, the PCPOT group showed a significant increase in PWD (49 ± 6 versus 25.6 ± 7.8, p < 0.001), higher CRP (37 ± 9 versus 30 ± 6, p = 0.04), prolonged left-atrial EMD, right-atrial EMD and inter-atrial EMD at (p = 0.006, 0.001, 0.002 respectively). Multivariate logistic regression analysis revealed that P wave dispersion (ß 0.505, CI (0.224-1.138), p = 0.023), PA lateral (ß 0.357, CI (0.214-0.697), p = 0.005), PA septal (ß 0.651, CI. (0.325-0.861), p = 0.021), and intra-left atrial EMD (ß 0.535, CI (0.353-1.346) p < 0.012) were independent predictors of PCPOT. CONCLUSION: Atrial heterogenicity in the form of prolonged AEMD and PWD seems to be a reasonable underlying pathophysiology of PCPOT. This could provide a new concern during the management and novel pharmacological approaches in these patients.

Post-acute COVID-19 in three doses vaccinated autoimmune rheumatic diseases patients: frequency and pattern of this condition.

BACKGROUND: Data on post-acute COVID-19 in autoimmune rheumatic diseases (ARD) are scarce, focusing on a single disease, with variable definitions of this condition and time of vaccination. The aim of this study was to evaluate the frequency and pattern of post-acute COVID-19 in vaccinated patients with ARD using established diagnosis criteria. METHODS: Retrospective evaluation of a prospective cohort of 108 ARD patients and 32 non-ARD controls, diagnosed with SARS-CoV-2 infection (RT-PCR/antigen test) after the third dose of the CoronaVac vaccine. Post-acute COVID-19 (≥ 4 weeks and > 12 weeks of SARS-CoV-2 symptoms) were registered according to the established international criteria. RESULTS: ARD patients and non-ARD controls, balanced for age and sex, had high and comparable frequencies of ≥ 4 weeks post-acute COVID-19 (58.3% vs. 53.1%, p = 0.6854) and > 12 weeks post-acute COVID-19 (39.8% vs. 46.9%, p = 0.5419). Regarding ≥ 4 weeks post-acute COVID-19, frequencies of ≥ 3 symptoms were similar in ARD and non-ARD controls (54% vs. 41.2%, p = 0.7886), and this was also similar in > 12 weeks post-acute COVID-19 (68.3% vs. 88.2%, p = 0.1322). Further analysis of the risk factors for ≥ 4 weeks post-acute COVID-19 in ARD patients revealed that age, sex, clinical severity of COVID-19, reinfection, and autoimmune diseases were not associated with this condition (p > 0.05). The clinical manifestations of post-acute COVID-19 were similar in both groups (p > 0.05), with fatigue and memory loss being the most frequent manifestations. CONCLUSION: We provide novel data demonstrating that immune/inflammatory ARD disturbances after third dose vaccination do not seem to be a major determinant of post-acute COVID-19 since its pattern is very similar to that of the general population. Clinical Trials platform (NCT04754698).

COVID-19 and Sleep Disturbances: A Literature Review of Clinical Evidence.

The need for adequate good quality sleep to optimally function is well known. Over years, various physical, psychological, biological, and social factors have been investigated to understand their impact on sleep. However, understanding the etiological processes that are involved in causing sleep disturbances (SD) as impacted by stressful phases such as pandemics has not been well studied. Many such etiological and management strategies have surfaced during the latest "coronavirus disease of 2019 (COVID-19) pandemic. The occurrence of these SD in the infected and uninfected individuals poses a need to investigate factors linked to such occurrence during this phase. Some of such factors include stressful practices such as social distancing, masking, vaccines, and medications availability, changes in routines, and lifestyles. As the status of infection improved, a collective term for all the prolonged effects of COVID-19 after the resolution of the primary infection called the post-COVID-19 syndrome (PCS) surfaced. Apart from impacting sleep during the infectious phase, the aftereffects of this virus left an even greater impact during the PCS. Various mechanisms have been hypothesized to be linked to such SD during the PCS, but the available data are inconclusive. Further, the varied patterns of incidence of these SDs differed by many factors, such as age, gender, and geographical location, making clinical management even more challenging. This review elucidates the impact of coronavirus 2 (SARS-CoV-2) (COVID) disease on sleep health during the various phases of the COVID-19 pandemic. We also investigate different causal relationships, management strategies, and knowledge gaps related to SD during the COVID-19 pandemic.

Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study.

Background: Post-COVID-19 syndrome is a new and debilitating disease without adequate treatment options. eHealth could be a reasonable approach for symptom management. Objectives: This study aims to evaluate the acceptance for eHealth interventions for symptom management in individuals with post-COVID-19 syndrome, as well as drivers and barriers influencing acceptance. Design: Cross-sectional study. Methods: This study was conducted from January 19 until 24 May 2022. Recruitment took place with a web-based survey. Acceptance and predictors of eHealth interventions were measured by the extended UTAUT model. Included in the model were the core predictor performance expectancy, social influence, and effort expectancy. Previously diagnosed mental illness was estimated and mental health by using the well-established Generalized Anxiety Disorder Scale-7 and the Patient Health Questionnaire Depression Scale. The effect of sociodemographic and medical data was assessed. Multiple hierarchical regression analyses as well as group comparisons were performed. Results: 342 individuals with post-COVID-19 syndrome were examined. The acceptance of eHealth interventions for symptom management was moderate to high (M = 3.60, SD = 0.89). Acceptance was significantly higher in individuals with lower/other education, patients with moderate to severe symptoms during initial COVID-19 infection, still significantly impaired patients, and individuals with a mental illness. Identified predictors of acceptance were age (ß = .24, p < .001), current condition including moderate (ß = .49, p = .002) and still significantly impaired (ß = .67, p < .001), digital confidence (ß = .19, p < .001), effort expectancy (ß = .26, p < .001), performance expectancy (ß = .33, p < .001), and social influence (ß = .26, p < .001). Conclusion: Patients with post-COVID-19 syndrome reported a satisfying level of acceptance and drivers and barriers could be identified. These factors need to be considered for the implementation and future use of eHealth interventions.

Pre-existing sleep problems as a predictor of post-acute sequelae of COVID-19.

Several months after COVID-19 many individuals still report persisting symptoms, the so-called 'post-COVID-19 syndrome'. An immunological dysfunction is one of the main pathophysiological hypotheses. As sleep is central to the functioning of the immune system, we investigated whether self-reported pre-existing sleep disturbance might be an independent risk factor for the development of post-COVID-19 syndrome. A total of 11,710 participants of a cross-sectional survey (all tested positive for severe acute respiratory syndrome coronavirus-2) were classified into probable post-COVID-19 syndrome, an intermediate group, and unaffected participants at an average of 8.5 months after infection. The case definition was based on newly occurring symptoms of at least moderate severity and ≥20% reduction in health status and/or working capacity. Unadjusted and adjusted odds ratios were calculated to investigate the association between pre-existing sleep disturbances and subsequent development of post-COVID-19 syndrome while controlling for a variety of demographic, lifestyle, and health factors. Pre-existing sleep disturbances were found to be an independent predictor of subsequent probable post-COVID-19 syndrome (adjusted odds ratio 2.7, 95% confidence interval 2.27-3.24). Sleep disturbances as part of the post-COVID-19 syndrome were reported by more than half of the participants and appeared to be a new symptom and to occur independent of a mood disorder in most cases. Recognition of disturbed sleep as an important risk factor for post-COVID-19 syndrome should promote improved clinical management of sleep disorders in the context of COVID-19. Further, it may stimulate further research on the effect of improving sleep on the prognosis of COVID-19 long-term sequelae and other post-viral conditions.

The Epidemiology of Long Coronavirus Disease in US Adults.

BACKGROUND: We estimated the prevalence of long COVID and impact on daily living among a representative sample of adults in the United States. METHODS: We conducted a population-representative survey, 30 June-2 July 2022, of a random sample of 3042 US adults aged 18 years or older and weighted to the 2020 US population. Using questions developed by the UK's Office of National Statistics, we estimated the prevalence of long COVID, by sociodemographics, adjusting for gender and age. RESULTS: An estimated 7.3% (95% confidence interval: 6.1-8.5%) of all respondents reported long COVID, corresponding to approximately 18 828 696 adults. One-quarter (25.3% [18.2-32.4%]) of respondents with long COVID reported their day-to-day activities were impacted "a lot" and 28.9% had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection more than 12 months ago. The prevalence of long COVID was higher among respondents who were female (adjusted prevalence ratio [aPR]: 1.84 [1.40-2.42]), had comorbidities (aPR: 1.55 [1.19-2.00]), or were not (vs were) boosted (aPR: 1.67 [1.19-2.34]) or not vaccinated (vs boosted) (aPR: 1.41 [1.05-1.91]). CONCLUSIONS: We observed a high burden of long COVID, substantial variability in prevalence of SARS-CoV-2, and risk factors unique from SARS-CoV-2 risk, suggesting areas for future research. Population-based surveys are an important surveillance tool and supplement to ongoing efforts to monitor long COVID.

Reported neurological symptoms after severe acute respiratory syndrome coronavirus type 2 infection: A systematic diagnostic approach.

BACKGROUND AND PURPOSE: Following increasing demands of patients with suspected neurological symptoms after infection with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the Department of Neurology at the Medical University of Vienna established a new outpatient clinic to systematically assess, diagnose, and document neurological complaints potentially associated with a prior SARS-CoV-2 infection. METHODS: The data presented here include prospectively collected 156 outpatients from May 2021 to April 2022. Patients underwent semistandardized interviewing about symptoms with reported onset after SARS-CoV-2 infection, neurological examination, and comprehensive diagnostic workup. RESULTS: Reported new onset symptoms after infection included fatigue (77.6%), subjective cognitive impairment (72.4%), headache (47.7%), loss of smell and/or taste (43.2%), and sleep disturbances (42.2%). Most patients had a mild coronavirus disease (COVID-19) disease course (84%) and reported comorbidities (71%), of which the most frequent were psychiatric disorders (34%). Frequency of symptoms was not associated with age, sex, or severity of COVID-19 course. A comprehensive diagnostic workup revealed no neurological abnormalities in the clinical examination, or electrophysiological or imaging assessments in the majority of patients (n = 143, 91.7%). Neuropsychological assessment of a subgroup of patients (n = 28, 17.9%) showed that cognitive impairments in executive functions and attention, anxiety, depression, and somatization symptoms were highly common. CONCLUSIONS: In this systematic registry, we identified fatigue, cognitive impairment, and headache as the most frequently reported persisting complaints after SARS-CoV-2 infection. Structural neurological findings were rare. We also suspect a link between the growing burden of the COVID-19 pandemic on personal lives and the increase in reported neurological and psychiatric complaints.

[Respiratory disorders of post-COVID-19 syndrome].

AIM: Assess the functional state of trespiratory system and effectiveness of therapeutic tactics for broncho-obstructive syndrome (BOS) in patients in the post-COVID period. MATERIALS AND METHODS: A two-center cohort prospective study included 10 456 and 89 patients, respectively. A comprehensive assessment of the respiratory system included clinical, laboratory and functional data, spirometry, body plethysmography, and a study of diffusive capacity of the lungs (DLCO). Therapy consisted of budesonide suspension or fixed combination beclomethasone dipropionate/formoterol (EMD BDP/FORM). RESULTS: The frequency of BOS in the cohort was 72% (7497 patients). In 13% (n=974) of cases, bronchial asthma was diagnosed for the first time, in 4.4% (n=328) - chronic obstructive pulmonary disease. Risk factors for the development and decrease in DLCO in the post-COVID period were identified. In the group of complex instrumental examination of lung function, the absence of violations of spirometric data and indicators determined by body plethysmography was determined. CONCLUSION: Risk factors for BOS in post-COVID period are atopy, a history of frequent acute respiratory infections, smoking, blood eosinophilia, moderate and severe forms of COVID-19. The advantage of a fixed combination of EMD BDP/FORM in MART mode compared with nebulized suspension budesonide + solution of salbutamol in treatment of BOS was shown. Risk factors for DLCO disorders were established: severe COVID-19, hospitalization in the intensive care unit, the need for additional oxygen therapy.

Detecting Orthostatic Intolerance in Long COVID in a Clinic Setting.

INTRODUCTION: A likely mechanism of Long COVID (LC) is dysautonomia, manifesting as orthostatic intolerance (OI). In our LC service, all patients underwent a National Aeronautics and Space Administration (NASA) Lean Test (NLT), which can detect OI syndromes of Postural Tachycardia Syndrome (PoTS) or Orthostatic Hypotension (OH) in a clinic setting. Patients also completed the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS), a validated LC outcome measure. Our objectives in this retrospective study were (1) to report on the findings of the NLT; and (2) to compare findings from the NLT with LC symptoms reported on the C19-YRS. METHODS: NLT data, including maximum heart rate increase, blood pressure decrease, number of minutes completed and symptoms experienced during the NLT were extracted retrospectively, together with palpitation and dizziness scores from the C19-YRS. Mann-Witney U tests were used to examine for statistical difference in palpitation or dizziness scores between patients with normal NLT and those with abnormal NLT. Spearman's rank was used to examine the correlation between the degree of postural HR and BP change with C19-YRS symptom severity score. RESULTS: Of the 100 patients with LC recruited, 38 experienced symptoms of OI during the NLT; 13 met the haemodynamic screening criteria for PoTS and 9 for OH. On the C19-YRS, 81 reported dizziness as at least a mild problem, and 68 for palpitations being at least a mild problem. There was no significant statistical difference between reported dizziness or palpitation scores in those with normal NLT and those with abnormal NLT. The correlation between symptom severity score and NLT findings was <0.16 (poor). CONCLUSIONS: We have found evidence of OI, both symptomatically and haemodynamically in patients with LC. The severity of palpitations and dizziness reported on the C19-YRS does not appear to correlate with NLT findings. We would recommend using the NLT in all LC patients in a clinic setting, regardless of presenting LC symptoms, due to this inconsistency.

Overview of autoantibodies in COVID-19 convalescents.

Accumulating evidence shows that SARS-CoV-2 can potentially trigger autoimmune processes, which can be responsible for the long-term consequences of COVID-19. Therefore, this paper aims to review the autoantibodies reported in COVID-19 convalescents. Six main groups were distinguished: (i) autoantibodies against components of the immune system, (ii) autoantibodies against components of the cardiovascular system, (iii) thyroid autoantibodies, (iv) autoantibodies specific for rheumatoid diseases, (v) antibodies against G-protein coupled receptors, and (vi) other autoantibodies. The evidence reviewed here clearly highlights that SARS-CoV-2 infection may induce humoral autoimmune responses. However, the available studies share number of limitations, such as: (1) the sole presence of autoantibodies does not necessarily implicate the clinically-relevant risks, (2) functional investigations were rarely performed and it is often unknown whether observed autoantibodies are pathogenic, (3) the control seroprevalence, in healthy, noninfected individuals was often not reported; thus it is sometimes unknown whether the detected autoantibodies are the result of SARS-CoV-2 infection or the accidental post-COVID-19 detection, (4) the presence of autoantibodies was rarely correlated with symptoms of the post-COVID-19 syndrome, (5) the size of the studied groups were often small, (6) the studies focused predominantly on adult populations, (7) age- and sex-related differences in seroprevalence of autoantibodies were rarely explored, (8) genetic predispositions that may be involved in generation of autoantibodies during SARS-CoV-2 infections were not investigated, and (9) the autoimmune reactions following infection with SARS-CoV-2 variants that vary in the clinical course of infection remain unexplored. Further longitudinal studies are advocated to assess the link between identified autoantibodies and particular clinical outcomes in COVID-19 convalescents.

Post-COVID-19 syndrome and diabetes mellitus: a propensity-matched analysis of the International HOPE-II COVID-19 Registry.

Background: Diabetes mellitus (DM) is one of the most frequent comorbidities in patients suffering from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with a higher rate of severe course of coronavirus disease (COVID-19). However, data about post-COVID-19 syndrome (PCS) in patients with DM are limited. Methods: This multicenter, propensity score-matched study compared long-term follow-up data about cardiovascular, neuropsychiatric, respiratory, gastrointestinal, and other symptoms in 8,719 patients with DM to those without DM. The 1:1 propensity score matching (PSM) according to age and sex resulted in 1,548 matched pairs. Results: Diabetics and nondiabetics had a mean age of 72.6 ± 12.7 years old. At follow-up, cardiovascular symptoms such as dyspnea and increased resting heart rate occurred less in patients with DM (13.2% vs. 16.4%; p = 0.01) than those without DM (2.8% vs. 5.6%; p = 0.05), respectively. The incidence of newly diagnosed arterial hypertension was slightly lower in DM patients as compared to non-DM patients (0.5% vs. 1.6%; p = 0.18). Abnormal spirometry was observed more in patients with DM than those without DM (18.8% vs. 13; p = 0.24). Paranoia was diagnosed more frequently in patients with DM than in non-DM patients at follow-up time (4% vs. 1.2%; p = 0.009). The incidence of newly diagnosed renal insufficiency was higher in patients suffering from DM as compared to patients without DM (4.8% vs. 2.6%; p = 0.09). The rate of readmission was comparable in patients with and without DM (19.7% vs. 18.3%; p = 0.61). The reinfection rate with COVID-19 was comparable in both groups (2.9% in diabetics vs. 2.3% in nondiabetics; p = 0.55). Long-term mortality was higher in DM patients than in non-DM patients (33.9% vs. 29.1%; p = 0.005). Conclusions: The mortality rate was higher in patients with DM type II as compared to those without DM. Readmission and reinfection rates with COVID-19 were comparable in both groups. The incidence of cardiovascular symptoms was higher in patients without DM.

Post-COVID-19 syndrome and quality of life impairment in severe COVID-19 Mexican patients.

Introduction: Post-COVID-19 syndrome (PCS) usually occurs 3 months after the onset of COVID-19 with a symptom duration of at least 2 months without an alternative diagnosis. Objective: This study aimed to describe the prevalence, characteristics, and impact on the quality of life (QoL) of post-COVID-19 syndrome in patients with a history of hospitalization for COVID-19. Materials and methods: We conducted a cross-sectional study. Patients who required hospitalization due to COVID-19 between March 2020 and October 2021 were invited to answer a PCS questionnaire and the EQ-5D instrument. A total of 246 patients were included: 187 (76%) met the definition of PCS and 54% were men, with a median age of 50 years (IQR 41-63). Results: From 187 patients with PCS, the median time to symptom onset after hospital discharge was 1 day (IQR 1-20), and the median symptom duration was 150 days (IQR 90-225). A total of 27 different symptoms were reported; the most frequent were difficulty concentrating (81%), dyspnea (75%), arthralgia (71%), fatigue (68%), and hair loss (60%). Some symptoms, such as difficulty concentrating, arthralgia/myalgia, and hair loss, were more prevalent in women with PCS. Patients with PCS had a higher frequency of tobacco smoking (37 vs. 4%, p = 0.02) and increased severity of lung involvement in the initial chest tomography (75 vs. 58%, p = 0.01) than those without PCS. Patients with PCS were less likely to receive antivirals (15.5 vs. 27%, p = 0.04). No difference between ICU admission, mechanical ventilation, and length of hospital stay was found. Patients with PCS had a lower visual analog scale result for EQ-5D vs. those without (80 [IQR 70-90] vs. 89.5 [IQR 75-90], p = 0.05). All five QoL dimensions were affected in PCS patients, showing increased pain/discomfort (67 vs. 39%, p = < 0.001), difficulties in performing usual activities (39.2 vs. 20.3%, p = 0.03), and anxiety/depression (57.5 vs. 37%, p = 0.02). Conclusion: PCS occurred in 76% of hospitalized patients with prolonged duration and QoL impairment. Neurological symptoms such as difficulty concentrating were the most frequent symptoms. Timely diagnostic and therapeutic interventions are required.

COVID-19: Post-recovery Manifestations.

Background Post-COVID-19 syndrome, also known as long COVID, is a disorder that has many characteristics, one of which is chronic fatigue following acute infection with the SARS-CoV-2 virus. Methodology We distributed a web-based survey among patients diagnosed with COVID-19 across the world and collected 190 responses regarding their demographics, histories, COVID-19 infection courses, and common symptoms. Results We found that about 85.3% of the patients experienced some form of symptom following recovery from the infection. Among the reported symptoms, 59% of patients experienced fatigue or lethargy, 48.9% reported decreased stamina, 32.6% reported shortness of breath, 16.8% had a persistent cough, and 23.7% experienced anxiety following recovery from COVID-19. Conclusions Reported symptoms closely resembled myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS); however, a deeper biochemical understanding of ME/CFS is required to confirm causation.

Risk of cardiovascular disease in post COVID-19 patients

As the COVID-19 pandemic began, various non-specific symptoms were detected among recovered patients, such as general weakness, fatigue and insomnia. Later different studies described an increase in the incidence of cardiovascular complications (myocardial infarction, stroke, arrhythmia, myocarditis, pulmonary embolism, heart failure, hypertensive crisis) after a COVID-19 infection, while the exact mechanisms remain unclear. This article depicts the most significant data currently available on the incidence of cardiovascular complications after a COVID-19 infection and also describes some of the possible pathogenetic mechanisms.Copyright © 2022 Authors. All rights reserved.

Long-term consequences in Covid-19 and Non-Covid-19 patients survivors of critical illness. A descriptive study.

Background: Critically ill patients may develop health problems related to their illness, injury, mechanical ventilation or other treatments. Such problems cannot be totally prevented and can continue after the patient leaves the hospital. Aim: To explore the level of anxiety, depression, post-traumatic stress Intensive Care Unit and quality of life in Intensive Care Unit survivors. A comparison analysis between Covid-19 patients and Non-Covid-19 patients was conducted. Methods: A prospective observational study exploring psychological, emotional, and behavioral difficulties experienced in patients admitted to Intensive Care Unit was performed. The study was conducted in an Italian adult 8-bed Intensive Care Unit, from July 2020 to April 2021, and followed-up until 25th May 2022. Data were collected during Intensive Care Unit stay (data collection of demographic and clinical characteristics) and 6 and 12 months after Intensive Care Unit discharge (interviews). Results: A total of 143 patients participated in the study, of which 54 were admitted for Covid-19 (37.76%). Depression symptoms were observed more among Non-Covid-19 patients compared to Covid-19 patients at six months (p= .037) and 12 months (p< .001) after Intensive Care Unit discharge. The quality of life perceived by the Intensive Care Unit patients surveyed improved between 6 and 12 months after discharge (Eq-VAS mean=62.03, + 11.2 vs Eq-VAS mean=66.6, + 9.8) (p=.034). Six months after Intensive Care Unit discharge, the mean of the perception of quality of life, for Covid-19 patients was 63.91 (sd ± 9.30), greater than Non-Covid-19 patients of the same period, which was 60.18 (sd ± 8.63) (p= .038). Conclusions: Within 1 year from the acute infection, most hospital survivors of Covid-19 had good physical and functional recovery over time with better outcomes than other Intensive Care Unit patients and had returned to their original work and life.

Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative.

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). METHODS: We assessed the impact of preexisting OSA on the risk for probable PASC in adults and children using electronic health record data from multiple research networks. Three research networks within the REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, and the National COVID Cohort Collaborative [N3C]) employed a harmonized analytic approach to examine the risk of probable PASC in COVID-19-positive patients with and without a diagnosis of OSA prior to pandemic onset. Unadjusted odds ratios (ORs) were calculated as well as ORs adjusted for age group, sex, race/ethnicity, hospitalization status, obesity, and preexisting comorbidities. RESULTS: Across networks, the unadjusted OR for probable PASC associated with a preexisting OSA diagnosis in adults and children ranged from 1.41 to 3.93. Adjusted analyses found an attenuated association that remained significant among adults only. Multiple sensitivity analyses with expanded inclusion criteria and covariates yielded results consistent with the primary analysis. CONCLUSIONS: Adults with preexisting OSA were found to have significantly elevated odds of probable PASC. This finding was consistent across data sources, approaches for identifying COVID-19-positive patients, and definitions of PASC. Patients with OSA may be at elevated risk for PASC after SARS-CoV-2 infection and should be monitored for post-acute sequelae.

Prevalence and Characteristics of Long COVID 7-12 Months After Hospitalization Among Patients From an Urban Safety-Net Hospital: A Pilot Study.

Introduction: Little is known about the burden of long COVID among Black and Hispanic patients in the U.S. We surveyed adult patients hospitalized for COVID-19 at John H. Roger, Jr. Hospital of Cook County, a safety-net hospital predominantly serving Black and Hispanic patients in Chicago, for persistent symptoms after hospitalization to assess prevalence and identify risk factors. Methods: Cross-sectional data were obtained over 6 months after discharge from patients hospitalized at John H. Roger, Jr. Hospital of Cook County who tested positive for SARS-CoV-2 between October 1, 2020 and January 12, 2021. Multivariable logistic regression was used to analyze the associations between patient characteristics and symptom persistence. Results: Of 145 patients surveyed at a median follow-up period of 255 days (IQR=238-302), 80% were Black or Hispanic, and 50 (34%) reported at least 1 symptom. In multivariable logistic regression, the risk of long COVID was associated with the severity of acute COVID-19 illness, consistent with findings from population-based cohort studies. Conclusions: Long COVID prevalence remains high 7 months to a year after an initial illness in a majority Black and Hispanic hospitalized cohort. There is a long-term and ongoing need to assess and address the burden of long COVID, especially among minority communities disproportionately affected by acute COVID-19.