Corneal confocal microscopy identifies corneal nerve fibre loss and increased dendritic cells in patients with long COVID.

BACKGROUND/AIMS: Long COVID is characterised by a range of potentially debilitating symptoms which develop in at least 10% of people who have recovered from acute SARS-CoV-2 infection. This study has quantified corneal sub-basal nerve plexus morphology and dendritic cell (DC) density in patients with and without long COVID. METHODS: Forty subjects who had recovered from COVID-19 and 30 control participants were included in this cross-sectional comparative study undertaken at a university hospital. All patients underwent assessment with the National Institute for Health and Care Excellence (NICE) long COVID, Douleur Neuropathique 4 (DN4) and Fibromyalgia questionnaires, and corneal confocal microscopy (CCM) to quantify corneal nerve fibre density (CNFD), corneal nerve branch density (CNBD), corneal nerve fibre length (CNFL), and total, mature and immature DC density. RESULTS: The mean time after the diagnosis of COVID-19 was 3.7±1.5 months. Patients with neurological symptoms 4 weeks after acute COVID-19 had a lower CNFD (p=0.032), CNBD (p=0.020), and CNFL (p=0.012), and increased DC density (p=0.046) compared with controls, while patients without neurological symptoms had comparable corneal nerve parameters, but increased DC density (p=0.003). There were significant correlations between the total score on the NICE long COVID questionnaire at 4 and 12 weeks with CNFD (ρ=-0.436; p=0.005, ρ=-0.387; p=0.038, respectively) and CNFL (ρ=-0.404; p=0.010, ρ=-0.412; p=0.026, respectively). CONCLUSION: Corneal confocal microscopy identifies corneal small nerve fibre loss and increased DCs in patients with long COVID, especially those with neurological symptoms. CCM could be used to objectively identify patients with long COVID.

Relationship between Selective IgA Deficiency and COVID-19 Prognosis.

The prevalence and mortality rates of coronavirus disease 2019 (COVID-19) widely vary among populations. Mucosal immunity is the first barrier to the pathogen's entry into the body. Immunoglobulin A (IgA) is the primary antibody responsible for mucosal immunity. We explored the relationship between selective IgA deficiency (SIgAD) and COVID-19 severity. We included 424 patients (203 women) with COVID-19. Eleven patients had SIgAD. Laboratory data of patients with SIgAD and normal IgA levels were compared. The relationship between SIgAD and severe COVID-19 infection was explored using logistic regression analysis. In the univariate logistic regression analysis, the risk of severe COVID-19 disease in patients with SIgAD was approximately 7.7-fold higher than that in other patients (odds ratio [OR], 7.789; 95% confidence interval [CI], 1.665-36.690, P = 0.008), while it was 4-fold (OR, 4.053; 95% CI, 1.182-13.903, P = 0.026) higher in the multivariate logistic regression analysis. Serum IgA levels were positively correlated with total lymphocyte counts and negatively correlated with C-reactive protein levels, which was a risk factor for severe COVID-19. In patients with SIgAD, the number of severe acute respiratory coronaviruses 2 that pass through mucosal membranes may be increased, leading to complications such as cytokine storm syndrome and acute respiratory distress syndrome.

Abnormal quantitative pupillary light responses following COVID-19.

PURPOSE: To characterize alterations in pupillary light reflex responses in subjects following coronavirus disease 2019 (COVID-19), especially those with long-COVID. METHODS: Thirty-five subjects with previous COVID-19 and 30 healthy control participants were enrolled in this cross-sectional comparative study. An infrared dynamic pupillometry system (MonPack One; Metrovision, France) was used to quantify pupillary light responses. The National Institute for Health and Care Excellence (NICE) long-COVID questionnaire was used to identify persisting symptoms at least 4 weeks after acute COVID-19. RESULTS: The median time after the diagnosis of acute COVID-19 was 4.0 (2.0-5.0) months. There was an increase in the latency of pupil contraction (P = 0.001) and a reduction in the duration of pupil contraction (P = 0.039) in post-COVID-19 subjects compared to healthy controls. No significant differences were observed in the initial pupil diameter, amplitude and velocity of pupil contraction or latency, velocity and duration of pupil dilation. Long-COVID was present in 25/35 (71%) subjects and their duration of pupil contraction was reduced compared to subjects without long-COVID (P = 0.009). The NICE long-COVID questionnaire total score (ρ = - 0.507; P = 0.002) and neurological score (ρ = - 0.412; P = 0.014) correlated with the duration of pupil contraction and the total score correlated with the latency of dilation (ρ = - 0.352; P = 0.038). CONCLUSION: Dynamic pupillometry reveals significant alterations in contractile pupillary light responses, indicative of parasympathetic dysfunction after COVID-19.

Memory B cells and serum immunoglobulins are associated with disease severity and mortality in patients with COVID-19.

PURPOSE OF THE STUDY: The aim of this study was to investigate the relationship of B cell-mediated immunity with disease severity and mortality in patients with COVID-19. STUDY DESIGN: In this retrospective cohort and single-centre study, 208 patients with laboratory-confirmed COVID-19 were recruited. A COVID-19 severity score, ranging from 0 to 10, was used to evaluate associations between various factors. Serum immunoglobulin levels and the number of cells in B lymphocyte subsets were measured and their association with disease severity and mortality in patients with COVID-19 examined. RESULTS: The median age of the patients was 50 (35-63) years and 88 (42%) were female. The number of deceased patients was 17. The median COVID-19 severity score was 8 (6-8) in deceased patients and 1 (0-2) in survivors. Deceased patients had significantly lower levels of total B lymphocytes, naive B cells, switched memory B cells, and serum IgA, IgG, IgG1 and IgG2 than recovered patients (all p<0.05). In addition, a significant negative correlation was found between the number of these parameters and COVID-19 severity scores. Decrease in the number of total B cells and switched memory B cells as well as lower serum IgA, IgG and IgG1 levels were independent risk factors for mortality in patients with COVID-19. CONCLUSION: In the present study, the prognosis of patients with COVID-19 was shown to be associated with the B cell subset and serum immunoglobulin levels.

An association between immune status and chest CT scores in COVID-19 patients.

BACKGROUND: The characteristic features of the immune responses of COVID-19 patients and how they reflect lung involvement have not been clearly elucidated. AIM: The aim of this study was to examine the immune status and the correlations thereof with chest CT scores and lung involvement of patients with COVID-19. METHODS: In this retrospective and single-center study, 72 patients with laboratory-confirmed COVID-19 were recruited. The counts of peripheral lymphocyte subsets (CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells and CD16+ 56+ NK cells) and those of serum immunoglobulins (IgA, IgG, IgM) were measured and their associations with chest CT scores analysed. RESULTS: The proportions of lymphopenia in patients with extensive lung involvement were twice that in the general study population. In the severe disease group, the levels of total lymphocytes, T cells, B cells, NK cells; and serum IgA levels, were significantly lower than in the mild disease group (all P < .05). We found that the numbers of lymphocyte subsets and the IgA level negatively correlated with the chest CT scores. On multivariate regression analysis, pretreatment decreases in total lymphocytes, CD3+ T cells, CD4+ T cells, and CD19+ B cells, and serum IgA levels, were independent predictors of severe lung involvement. CONCLUSIONS: The cell numbers of peripheral lymphocyte subsets and the serum IgA level were negatively correlated with the chest CT scores in COVID-19 patients. These parameters tended to independently predict severe lung involvement in such patients.

Apoptosis-induced T-cell lymphopenia is related to COVID-19 severity.

Increased levels of acute-phase reactants and lymphopenia are predictors of disease severity in coronavirus disease 2019 (COVID-19). This study aimed to investigate the role of apoptosis in the etiology of lymphopenia in patients with COVID-19. This multicentered, prospective, and case-control study was conducted with polymerase chain reaction (+) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients, and an age-gender-matched control group. Samples were taken at the time of diagnosis and analyzed via flow cytometry within 24 h. The participants' demographic data and initial laboratory tests were also recorded. In total, 33 patients with COVID-19 (mean age = 45.4 ± 17.2) and 25 controls (mean age = 43.4 ± 17.4) participated in the study. All patients were identified as having mild (16), moderate (5), or severe (12) disease severity. Both early and late apoptotic cells in B and T lymphocytes were increased in all patients with COVID-19 (p < .05). Early apoptotic (EA) B and T lymphocytes were also higher in severe cases compared to mild cases (p = .026). There was no significant difference between lymphopenia and apoptosis in patients with COVID-19. However, patients with lymphopenia (n = 14) and severe COVID-19 (p = .013) had increased EA T lymphocytes. This study's results show that B and T lymphocytes' apoptosis increases in patients with COVID-19. In addition, enhanced T lymphocyte apoptosis is associated with disease severity in lymphopenic patients with COVID-19.