Recovered COVID-19 Patients Research Articles

Incidence of Myocarditis among Patients Recovered from COVID-19 Identified using Cardiac Magnetic Resonance: A 1-year Single-centre Retrospective Study

Background: COVID-19 continues to engender significant morbidity and mortality globally and is associated with cardiac injuries, such as myocarditis. This study reports the incidence of myocarditis identified using cardiac magnetic resonance (CMR) in patients recovered from COVID-19. Methods: This is a single-centre retrospective cohort study conducted among recovered COVID-19 patients who underwent CMR from 1 January 2020 to 31 December 2021. Results: Most patients with evidence of myocardial oedema on CMR had a mild-type infection (31 of 54 [57%]), with dyspnoea (15 [28%]) and palpitations (12 [22%]) being the most common symptoms. Twenty-nine of 54 (54%) patients had increased T2 signal indicative of myocarditis; eight (28%) of them had evidence of myocardial fibrosis on late gadolinium enhancement primarily located at the lateral walls with sub-epicardial and mid-wall involvement dispersed in the basal to apical segments. Myocardial oedema was noted in nine (31%) patients. Six (20%) of them had an impaired left ventricular ejection fraction of <50% and three patients (10%) had an impaired right ventricular ejection fraction of <50%. There was no significant difference in left ventricular (57% versus 61%; p=0.13) and right ventricular (57% versus 60%; p=0.51) systolic function between the two groups. Conclusion: Myocarditis after COVID-19 can be a lasting consequence, and CMR may serve as a sensitive imaging tool to investigate any suspected cardiac injury after treatment of the infection. The findings of the study may aid in determining the other possible long-term effects in patients who have recovered from COVID-19, particularly those who continue to experience symptoms.

Pathway linking attachment styles to post-traumatic growth among recovered COVID-19 patients: testing the mediating role of coping styles

ABSTRACT Background: Research on post-disaster mental health shows that people have unique resources to undergo positive changes like posttraumatic growth (PTG) after facing adversities. Objective: This study aimed to investigate the relationship between attachment styles and PTG in COVID-19 survivors, with a focus on exploring the mediating role of coping strategies. Through examining these dynamics, the study seeks to contribute to deeper understanding of the psychological processes underlying growth in individuals recovering from the pandemic. Method: A total of 210 participants were enrolled from the hospitals in Tabriz, Iran, in January 2021, and completed self-report questionnaires. PTG, attachment styles, and coping strategies were assessed using Posttraumatic Growth Inventory (PTGI), Revised Adult Attachment Scale (RAAS), and Coping Inventory for Stressful Situations (CISS). Structural equation modelling (SEM) was used to assess the mediation models. Results: The direct effects of secure (β = 0.22, p < .001), and ambivalent-anxious attachment (β = −0.22, p < .001) on PTG were significant. Also, task-oriented coping significantly predicted PTG (β = .60, p < .001). The direct path from secure (β = 0.16, p < .05) and ambivalent-anxious attachment (β = −0.38, p < .001) to task-oriented coping was significant, as was direct impact of secure (β = −0.18, p < .01) and ambivalent-anxious attachment (β = 0.37, p < .001) to emotion-oriented coping. The association between secure attachment and PTG is significantly mediated by task-oriented coping (β = 0.1, (95% CI: 0.01–0.18)). Also, task-oriented coping was a significant negative mediator between ambivalent-anxious attachment and PTG (β = −0.24, (95% CI: −0.33 – −0.15)). Conclusions: Results support the mediating role of coping strategies in the relationship between attachment styles and PTG. It emphasizes the importance of interventions for improving coping resources in individuals with life-threatening illnesses, focusing on improving problem-focused coping and reducing maladaptive strategies.

Assessment of right ventricular sequelae by speckle tracking echocardiography in recovered COVID-19 patients

Background TTE is the main modality used to assess RV function, but conventional TTE parameters have limited diagnostic value because they may fail to detect early abnormalities in RV systolic function. Due to its ability to detect subclinical impairment of cardiac function, 2D STE has been widely used to investigate RV function. In this study, we aimed to investigate whether there are sequelae of RV function in recovered COVID-19 patients with pulmonary involvement. Methods This is a prospective observational cohort study of 57 healthy volunteers and 54 patients. Participants had no history of chronic illness and no evidence of respiratory or cardiac symptoms. The patients had been hospitalised with COVID-19 with pulmonary involvement but did not require intensive care unit follow-up or non-invasive mechanical ventilation support. TTE was performed. Demographic and clinical characteristics and laboratory test results were collected. Results LVEF, TAPSE, St and FAC were significantly lower in the patient group. LV-LS 3-chamber, LV-GLS, RV-FWS, RV-GLS were significantly lower in the patient group. Conclusions RV-LS and LV-GLS were shown to decrease in the patient group. Although no obvious pathological values were observed in RV parameters on conventional echocardiography, TAPSE, St and FAC values were lower in the patient group.

May Recovered COVID-19 Patients Have Impaired Myocardial Work?

Background: The aim of this study was to investigate whether there are sequelae in left ventricular (LV) systolic function by comparing LV function in fully recovered COVID-19 patients with pulmonary involvement and healthy controls without COVID-19 by conventional echocardiography and myocardial work. Materials and Methods: 55 healthy volunteers and 61 patients hospitalized with COVID-19 with pulmonary in-volvement were included. Patients did not need non-invasive or invasive mechanical ventilation support during hospitalization. Patients were included in the study if they were asymptomatic for at least six months after recov-ery from COVID-19. Transthoracic echocardiography (TTE) was performed. Demographic and clinical characteris-tics and laboratory test results were collected. Clinical characteristics, blood tests, TTE, speckle-tracking echocar-diography (STE) and myocardial work results were compared. Results: No statistically significant differences were found in the longitudinal strain parameters of the LV among the study groups. The patient group exhibited notably reduced levels of global work index (GWI), global con-structed work (GCW), and global work efficiency (GWE). The patient group exhibited a notably elevated global wasted work (GWW). Conclusions: The group of fully recovered asymptomatic COVID-19 patients with pulmonary involvement showed significantly lower values for GWI, GCW, and GWE, while GWW showed a significantly higher value. Myocardial work parameters may be useful in determining myocardial sequelae.

Demyelination in Patients with POST-COVID Depression.

Background: Depression is one of the most severe sequelae of COVID-19, with major depressive disorder often characterized by disruption in white matter (WM) connectivity stemming from changes in brain myelination. This study aimed to quantitatively assess brain myelination in clinically diagnosed post-COVID depression (PCD) using the recently proposed MRI method, macromolecular proton fraction (MPF) mapping. Methods: The study involved 63 recovered COVID-19 patients (52 mild, 11 moderate, and 2 severe) at 13.5 ± 10.0 months post-recovery, with matched controls without prior COVID-19 history (n = 19). A post-COVID depression group (PCD, n = 25) was identified based on psychiatric diagnosis, while a comparison group (noPCD, n = 38) included participants with neurological COVID-19 complications, excluding clinical depression. Results: Fast MPF mapping revealed extensive demyelination in PCD patients, particularly in juxtacortical WM (predominantly occipital lobe and medial surface), WM tracts (inferior fronto-occipital fasciculus (IFOF), posterior thalamic radiation, external capsule, sagittal stratum, tapetum), and grey matter (GM) structures (hippocampus, putamen, globus pallidus, and amygdala). The noPCD group also displayed notable demyelination, but with less magnitude and propagation. Multiple regression analysis highlighted IFOF demyelination as the primary predictor of Hamilton scores, PCD presence, and severity. The number of post-COVID symptoms was a significant predictor of PCD presence, while the number of acute symptoms was a significant predictor of PCD severity. Conclusions: This study, for the first time, reveals extensive demyelination in numerous WM and GM structures in PCD, outlining IFOF demyelination as a key biomarker.

Wuhan residents perceptions of prejudice and discrimination and the social categorization processes during and after the COVID-19 lockdown: A qualitative study

Although studies have focused on intergroup biases (e.g., discrimination) during the COVID-19 pandemic, little is known about the underlying mechanisms driving intergroup bias, specifically social categorization. In-depth interviews were conducted among 32 residents of Wuhan, P.R. China, during and after the initial COVID-19 lockdown (Jan-July, 2020). Interpretative phenomenological analysis (IPA) was applied to describe perceived prejudice and discrimination and the intergroup interaction processes. Results indicated that: (1) Wuhan residents’ interpretations of perceived prejudice and discrimination evolved over time, especially regarding views of the pandemic prevention measures; (2) intergroup contact, emotional factors and cognitive factors influenced individuals’ perceptions of prejudice and discrimination; (3) social categorization and integration processes underwent changes across different stages of the COVID-19 pandemic in Wuhan, encompassing the lockdown and reopening; (4) the group identity of recovered COVID-19 patients was easily solidified; (5) in the group integration process, emphasizing common attributes between groups, individualized media coverage and positive aspects of intergroup interactions weakened intergroup boundaries and promoted group integration. These results enrich existing knowledge about perceived discrimination and social categorization processes of a suddenly marginalized group through qualitative research methods.

Prevalence and factors associated with depression and anxiety among patients recovered from COVID-19: a cross-sectional study in a tertiary care hospital in Nepal

IntroductionCOVID-19 has immensely affected the mental health of all people with prominent effects among the COVID-19 survivors who underwent hospitalisation. The evidence of the long-term mental health implications among the...

Myocardial Work Indices in Patients Recently Recovered from Mild-to-Moderate COVID-19.

Background/Objectives: Persistent cardiovascular issues are common in COVID-19 survivors, making the detection of subtle myocardial injuries critical. This study evaluates myocardial work (MW) indices in patients recently recovering from mild-to-moderate COVID-19. Methods: A total of 105 recently recovered COVID-19 patients (who had a mean age of 52 years) underwent comprehensive laboratory testing and advanced echocardiographic assessments. The median time since their COVID-19 infections was 56 days (IQR: 42-71). The cohort was stratified based on high-sensitive troponin I (hs-TnI) levels: undetectable versus detectable. The echocardiographic analysis utilized pressure-strain loops to evaluate MW indices. Results: Detectable hs-TnI levels were observed in 42% of patients. The median values of MW indices for the entire group were slightly below normal values: global work index (GWI)-1834 mmHg% (IQR 1168-2054 mmHg%), global constructive work (GCW)-2130 mmHg% (IQR 2010-2398 mmHg%), global wasted work (GWW)-119 mmHg% (IQR 78-175 mmHg%), and global work efficiency (GWE)-94% (IQR 92-96%). Patients with detectable hs-TnI had higher GWW (168 vs. 97 mmHg%, p < 0.005) and lower GWE (93% vs. 95%, p < 0.005). In multiple regression analysis, strain dispersion (PSD) was the sole predictor for GWW (β = 0.67, p < 0.001), while for GWE, PSD (β = -0.67, p < 0.001) and LVEF (β = 0.16, p = 0.05) were significant predictors. Conclusions: Among patients recently recovering from mild-to-moderate COVID-19, elevated hs-TnI levels are linked with a reduction in GWE and an increase in GWW. PSD is an important predictor of myocardial inefficiency and wasted work. In this group, disruptions in the timing and coordination of cardiac muscle contractions may play a key pathophysiological role in reducing the efficiency of the heart's performance.

Evaluating the impact of COVID-19 on vertigo and hearing impairment: A post-recovery analysis.

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has manifested with respiratory symptoms and a spectrum of extra-pulmonary complications. Emerging evidence suggests potential impacts on the auditory and vestibular systems, but the extent and nature of these effects in recovered individuals remain unclear. This study aimed to investigate the prevalence and severity of vertigo and hearing impairment in individuals who have recovered from COVID-19 and to identify potential risk factors associated with these sensory symptoms. A cohort of 250 recovered COVID-19 patients was assessed. Standardized questionnaires, including the Dizziness Handicap Inventory and the Vertigo Symptom Scale, were used to evaluate vertigo. Hearing assessment was conducted using pure-tone audiometry, speech audiometry, tympanometry, and oto-acoustic emissions testing. Logistic regression analysis was performed to assess the association between COVID-19 severity and the occurrence of sensory symptoms, controlling for confounding variables such as age and comorbidities. Of the participants, 10% reported vertigo, varying severity. Hearing assessments revealed that most participants had normal hearing, with an average speech discrimination score of 94.6. Logistic regression analysis indicated a significant association between severe COVID-19 and an increased likelihood of vertigo (OR 2.11, 95% CI 1.02-4.35, P = .043) and hearing impairment (OR 3.29, 95% CI 1.60-6.78, P = .002). This study suggests a significant association between COVID-19 severity and vertigo and hearing impairment prevalence. The findings underscore the importance of sensory symptom assessment in the post-recovery phase of COVID-19, highlighting the need for comprehensive healthcare approaches to manage long-term sequelae.

GENIX enables comparative network analysis of single-cell RNA sequencing to reveal signatures of therapeutic interventions

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular responses to perturbations such as therapeutic interventions and vaccines. Gene relevance to such perturbations is often assessed through differential expression analysis (DEA), which offers a one-dimensional view of the transcriptomic landscape. This method potentially overlooks genes with modest expression changes but profound downstream effects and is susceptible to false positives. We present GENIX (gene expression network importance examination), a computational framework that transcends DEA by constructing gene association networks and employing a network-based comparative model to identify topological signature genes. We benchmark GENIX using both synthetic and experimental datasets, including analysis of influenza vaccine-induced immune responses in peripheral blood mononuclear cells (PBMCs) from recovered COVID-19 patients. GENIX successfully emulates key characteristics of biological networks and reveals signature genes that are missed by classical DEA, thereby broadening the scope of target gene discovery in precision medicine.

Burden of Long COVID-19 in a Cohort of Recovered COVID-19 Patients in Delhi, India.

The long COVID phase is characterized by signs and symptoms persisting for at least three months after recovery from acute COVID-19 illness. There is limited data on comprehensive long-term clinical follow-up of COVID-19 patients. This study aims to explore the burden and symptomatology of long COVID syndrome and its association with various health parameters. This prospective observational study was conducted in Delhi from May 2022 to March 2023. A total of 553 adult patients who had recovered from COVID-19 were enrolled in the study. A sociodemographic and clinical profile was obtained using validated questionnaires, along with an evaluation of biochemical parameters to assess the associated factors. Chi-square test, unpaired t-test, and bivariate regression analysis were applied using Statistical Product and Service Solutions (SPSS, version 28; IBM SPSS Statistics for Windows, Armonk, NY). A p value of <0.05 was considered significant. A total of 252 patients (45.6%) had long COVID syndrome, which was significantly associated with the presence of any pre-existing comorbidity (OR=1.46 (1.02-2.09); p=0.039), previous history of hypertension (OR=1.82 (1.07-3.09); p=0.027), and vaccination against COVID-19 (OR=1.392 (1.171-1.656); p=0.003). The most common symptoms reported were persistent fatigue (33.3%) and persistent dry cough (28.5%). Patients with long COVID syndrome are also reported to have poorer sleep quality. Biochemical findings showed abnormal T lymphocytes (9.3%) and raised HbA1c (11.9%). Multiple risk factors and symptoms associated with long COVID syndrome were identified in this study. Research efforts and knowledge regarding the pattern of illness will aid in long-term monitoring and development of interventional strategies and guidelines for the care of recovered COVID-19 patients.

Evaluation of blood pressure variation in recovered COVID-19 patients at one-year follow-up: a retrospective cohort study

BackgroundCoronavirus disease 2019 (COVID-19) has various sequelae, one of which might be hypertension. We aimed to evaluate COVID-19’s impact on blood pressure (BP) in non-hospitalized patients at one-year follow-up.MethodA total of 7,950 consecutive COVID-19 patients regularly visiting our cardiology clinic were retrospectively screened. Patients’ electronic medical records including demographics, comorbidities, vital signs, treatments, and outcomes, were reviewed by two physicians. Individuals with at least one BP measurement in the three months preceding COVID-19 and one measurement in 12 months or more following recovery were included. BP levels before and after COVID-19 were compared using the paired t-test.Results5,355 confirmed COVID-19 patients (mean age 55.51 ± 15.38 years) were included. Hypertension (56.9%) and diabetes mellitus (34%) were the predominant comorbidities, and 44.3% had prior major adverse cardiovascular events. Both systolic (126.90 ± 20.91 vs. 139.99 ± 23.94 mmHg, P < 0.001) and diastolic BP (80.54 ± 13.94 vs. 86.49 ± 14.40 mmHg, P < 0.001) were significantly higher post-COVID-19 vs. pre-COVID-19. Notably, 456 (14%) hypertensive patients experienced exacerbated hypertension, while 408 (17%) patients developed new-onset hypertension, overall 864 (16%) of patients had exacerbation or new hypertension. Linear regression analysis revealed that advanced age, smoking, previous cardiovascular events, hypertension, and diabetes mellitus predict increased BP following COVID-19 (P < 0.001).ConclusionCOVID-19 raised systolic and diastolic BP in the long term in non-hospitalized patients, with over one-sixth developing new-onset or exacerbated hypertension. All patients should be evaluated regarding BP, following COVID-19 recovery, particularly those with the mentioned predictive factors. (clinicaltrial.gov: NCT05798208)

Corneal Stroma Analysis and Related Ocular Manifestations in Recovered COVID-19 Patients.

The purpose of this study was to assess the impact of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) on corneal stroma characteristics, ocular manifestations, and post-recovery refractive surgery outcomes after varying recovery durations. Fresh corneal lenticules from patients with post-coronavirus disease 2019 (COVID-19; recovered within 135days) and healthy controls (HCs) after small incision lenticule extraction (SMILE) surgery were obtained for experimental validation of SARS-CoV-2 susceptibility, morphological changes, and immune response of the corneal stroma. Corneal optical density (CD) was measured using the Pentacam HR. Corneal epithelium thickness (ET) and endothelium parameters were evaluated by wide-field optical coherence tomography (OCT) and non-contact specular microscopy (SP-1P), respectively. All the patients were assessed after SMILE surgery until 3 month of follow-up. The cornea was susceptible to SARS-CoV-2 with the presence of SARS-CoV-2 receptors (CD147 and ACE2) and spike protein remnants (4 out of 58) in post-recovery corneal lenticules. Moreover, SARS-CoV-2 infection triggered immune responses in the corneal stroma, with elevated IL-6 levels observed between 45 and 75days post-recovery, which were then lower at around day 105. Concurrently, corneal mid-stromal nerve length and branching were initially higher in the 60D to 75D group and returned to control levels by day 135. A similar trend was observed in CD within zones 0 to 2 and 2 to 6 and in the hexagonal cells (HEX) ratio in endothelial cells, whereas ET remained consistent. Notably, these changes did not affect the efficacy, safety, or predictability of post-recovery SMILE surgery. SARS-CoV-2 induces temporal alterations in corneal stromal morphology and function post-recovery. These findings provided a theoretical basis for corneal health and refractive surgery management in the post-COVID-19 milieu.

Psychophysiological Adaptations to Exercise Training in COVID-19 Patients: A Systematic Review.

Many COVID-19 patients display adverse symptoms, such as reduced physical ability, poor quality of life, and impaired pulmonary function. Therefore, this systematic review is aimed at evaluating the effectiveness of physical exercise on various psychophysiological indicators among COVID-19 patients who may be at any stage of their illness (i.e., critically ill, hospitalized, postdischarge, and recovering). A systematic search was conducted in PubMed, Scopus, ScienceDirect, Web of Science, and Google Scholar from 2019 to 2021. Twenty-seven studies, which assessed a total of 1525 patients, were included and analysed. Overall, data revealed significant improvements in the following parameters: physical function, dyspnoea, pulmonary function, quality of life (QOL), lower limb endurance and strength, anxiety, depression, physical activity level, muscle strength, oxygen saturation, fatigue, C-reactive protein (CRP), interleukin 6 (IL-6), tumour necrosis factor-alpha (TNF-α), lymphocyte, leukocytes, and a fibrin degradation product (D-dimer). Physical training turns out to be an effective therapy that minimises the severity of COVID-19 in the intervention group compared to the standard treatment. Therefore, physical training could be incorporated into conventional treatment of COVID-19 patients. More randomized controlled studies with follow-up evaluations are required to evaluate the long-term advantages of physical training. Future research is essential to establish the optimal exercise intensity level and assess the musculoskeletal fitness of recovered COVID-19 patients. This trial is registered with CRD42021283087.

Quantitative Proteomics of COVID-19 Recovered Patients Identifies Long-Term Changes in Sperm Proteins Leading to Cellular Stress in Spermatozoa.

Following an initial recovery, COVID-19 survivors struggle with a spectrum of persistent medical complications, including fatigue, breathlessness, weight loss, hair loss, and attention deficits. Additionally, there is growing evidence of adverse effects of COVID-19 on the male reproductive system. This investigation seeks to understand the long-term ramifications on male fertility by examining hormonal profiles, semen parameters, and sperm proteome of recovered COVID-19 patients compared to controls. The serum hormone profiles between the two groups showed minimal variations except for prolactin, cortisol, and testosterone levels. Testosterone levels were slightly lower, while prolactin and cortisol were elevated in COVID-19 cases compared to controls. Though semen parameters exhibited no significant disparities between the COVID-19 and control groups, quantitative proteomics analysis revealed changes in sperm proteins. It identified 190 differentially expressed proteins, of which 161 were upregulated and 29 downregulated in COVID-19 cases. Western blotting analysis validated the differential expression of serpin B4 and calpain 2. Bioinformatics analysis signifies cellular stress in the spermatozoa of COVID-19 recovered patients and thus, SOD and MDA levels in semen were measured. MDA levels were found to be significantly elevated, indicating lipid peroxidation in COVID-19 samples. While the effects of COVID-19 on semen parameters may exhibit a potential for reversal within a short duration, the alterations it inflicts on sperm proteome are persisting consequences on male fertility. This study paves the path for further research and emphasizes the significance of comprehending the complex molecular processes underlying the long-term consequences of COVID-19 on male reproductive health.

Assessment of olfactory recovery after COVID-19: cross-sectional study

ObjectiveThis study aimed to evaluate recovery patterns of olfactory dysfunction among recovered COVID-19 patients, both subjective and objective, and correlate this recovery to the severity of the disease.MethodsThe study recruited 200 patients and assigned them to two equal groups, one of them was a control group. The olfactory function of the study group was assessed via subjective and objective methods at baseline and then monthly for three months, with changes in smell function reported at each visit. These patients underwent chemosensory testing using the Sniffin’ Sticks test and completed the validated Arabic version of the Questionnaire of Olfactory Disorders-Negative Statements (QOD-NS).ResultsOlfactory dysfunction occurred on the first day of COVID-19 symptoms in 37% of participants. Subjective reports suggested smell recovery in 55% after 3 months, but Sniffin' Sticks showed only 1% with normal function, indicating persistent deficits in others. This study revealed smell recovery for 93% of participants (median 14 days), with most (58%) recovering within 2 weeks. No significant links were found between demographics, COVID-smell loss timing, and recovery speed.ConclusionThree months after COVID-19, many patients perceive smell recovery, but objective tests reveal shockingly high rates of persistent dysfunction. Further follow-up with objective tests is vital to assess the true burden and potential long-term effects of smell loss.

Risk of incident atrial fibrillation after COVID-19 infection: A systematic review and meta-analysis

BackgroundData regarding the risk of atrial fibrillation (AF) during the post-acute phase of COVID-19 are lacking. ObjectiveWe assessed the risk of incident AF in COVID-19 recovered patients by performing a systematic review and meta-analysis of the available data. MethodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched Medline and Scopus to locate all articles published up to December 1, 2023, reporting the risk of AF in patients recovered from COVID-19 infection compared with noninfected patients in whom the arrhythmia developed during the same follow-up period. AF risk was evaluated by the Mantel-Haenszel random effects model with hazard ratio as the effect measure with 95% confidence interval (CI); heterogeneity was assessed by Higgins I2 statistic. ResultsOverall, 19,478,173 patients (mean age, 56.5 years; 63.0% male) enrolled in 5 observational studies were included in the analysis. Of these, 5,692,510 recovered from severe acute respiratory syndrome coronavirus 2 infection. During a mean follow-up of 14.5 ± 3.2 months, a random effects model revealed a pooled incidence of new-onset AF in 2.6% of cases (95% CI, 1.8%–6.18%). Recovered COVID-19 patients presented with a higher risk of incident AF (hazard ratio, 1.57; 95% CI, 1.24–1.99; P < .0001; I2 = 77.9%) compared with noninfected patients during the same follow-up period. Sensitivity analyses confirmed the yielded results. A multivariable metaregression including age, male sex, history of hypertension, coronary artery disease, and length of follow-up was able to explain a significant part of the heterogeneity (R2 = 54.3%; P = .01). ConclusionRecovered COVID-19 patients have a higher risk of AF events compared with individuals from the general population.

Impaired retinal oxygen metabolism and perfusion are accompanied by plasma protein and lipid alterations in recovered COVID-19 patients

The aim of the present study was to investigate retinal microcirculatory and functional metabolic changes in patients after they had recovered from a moderate to severe acute COVID-19 infection. Retinal perfusion was quantified using laser speckle flowgraphy. Oxygen saturation and retinal calibers were assessed with a dynamic vessel analyzer. Arterio-venous ratio (AVR) was calculated based on retinal vessel diameter data. Blood plasma samples underwent mass spectrometry-based multi-omics profiling, including proteomics, metabolomics and eicosadomics. A total of 40 subjects were included in the present study, of which 29 had recovered from moderate to severe COVID-19 within 2 to 23 weeks before inclusion and 11 had never had COVID-19, as confirmed by antibody testing. Perfusion in retinal vessels was significantly lower in patients (60.6 ± 16.0 a.u.) than in control subjects (76.2 ± 12.1 a.u., p = 0.006). Arterio-venous (AV) difference in oxygen saturation and AVR was significantly lower in patients compared to healthy controls (p = 0.021 for AVR and p = 0.023 for AV difference in oxygen saturation). Molecular profiles demonstrated down-regulation of cell adhesion molecules, NOTCH3 and fatty acids, and suggested a bisphasic dysregulation of nitric oxide synthesis after COVID-19 infection. The results of this study imply that retinal perfusion and oxygen metabolism is still significantly altered in patients well beyond the acute phase of COVID-19. This is also reflected in the molecular profiling analysis of blood plasma, indicating a down-regulation of nitric oxide-related endothelial and immunological cell functions.Trial Registration: ClinicalTrials.gov (https://clinicaltrials.gov) NCT05650905.

SARS-CoV2 evokes structural brain changes resulting in declined executive function.

Several research has underlined the multi-system character of COVID-19. Though effects on the Central Nervous System are mainly discussed as disease-specific affections due to the virus' neurotropism, no comprehensive disease model of COVID-19 exists on a neurofunctional base by now. We aimed to investigate neuroplastic grey- and white matter changes related to COVID-19 and to link these changes to neurocognitive testings leading towards a multi-dimensional disease model. Groups of acutely ill COVID-19 patients (n = 16), recovered COVID-19 patients (n = 21) and healthy controls (n = 13) were prospectively included into this study. MR-imaging included T1-weighted sequences for analysis of grey matter using voxel-based morphometry and diffusion-weighted sequences to investigate white matter tracts using probabilistic tractography. Comprehensive neurocognitive testing for verbal and non-verbal domains was performed. Alterations strongly focused on grey matter of the frontal-basal ganglia-thalamus network and temporal areas, as well as fiber tracts connecting these areas. In acute COVID-19 patients, a decline of grey matter volume was found with an accompanying diminution of white matter tracts. A decline in executive function and especially verbal fluency was found in acute patients, partially persisting in recovered. Changes in gray matter volume and white matter tracts included mainly areas involved in networks of executive control and language. Deeper understanding of these alterations is necessary especially with respect to long-term impairments, often referred to as 'Post-COVID'.

An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients

Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among the recovered COVID-19 patients. Other techniques are also investigated, such as feature selection (Recursive Feature Elimination (RFE) and Extra Trees (ET) methods) and hyper-parameter tuning, to achieve a system that could effectively and quickly indicate mental health. Method/Analysis: To achieve the objectives, the study employs a dataset collected from recovered COVID-19 patients, encompassing information related to depression, anxiety, and stress. Machine learning models are utilized in the analysis. Additionally, feature selection methods and hyper-parameter tuning techniques are explored to enhance the model’s predictive capabilities. The performance of each model is assessed based on accuracy metrics. Findings: The experimental results show that SVM is the most suitable model for accurately predicting an individual’s mental health among recovered COVID-19 patients (accuracy ≥ 0.984). Furthermore, the ET method is more effective than the RFE method for feature selection in the anxiety and stress datasets. Novelty/Improvement:The study lies in the understanding of predictive modeling for mental health and provides insights into the choice of models and techniques for accurate and early detection. Doi: 10.28991/HEF-2024-05-01-01 Full Text: PDF