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Background: The inflammatory changes that underlie the heterogeneous presentations of COVID-19 remain incompletely understood. In this study we aimed to identify inflammatory profiles that precede the development of severe COVID-19, that could serve as targets for optimised delivery of immunomodulatory therapies and provide insights for the development of new therapies. Methods: We included individuals sampled <10 days from COVID-19 symptom onset, recruited from both inpatient and outpatient settings. We measured 61 biomarkers in plasma, including markers of innate immune and T cell activation, coagulation, tissue repair and lung injury. We used principal component analysis and hierarchical clustering to derive biomarker clusters, and ordinal logistic regression to explore associations between cluster membership and maximal disease severity, adjusting for known risk factors for severe COVID-19. Results: In 312 individuals, median (IQR) 7 (4-9) days from symptom onset, we found four clusters. Cluster 1 was characterised by low overall inflammation, cluster 2 was characterised by higher levels of growth factors and markers of endothelial activation (EGF, VEGF, PDGF, TGFα, PAI-1 and p-selectin). Cluster 3 and 4 both had higher overall inflammation. Cluster 4 had the highest levels of most markers including markers of innate immune activation (IL6, procalcitonin, CRP, TNFα), and coagulation (D-dimer, TPO), in contrast cluster 3 had the highest levels of alveolar epithelial injury markers (RAGE, ST2), but relative downregulation of growth factors and endothelial activation markers, suggesting a dysfunctional inflammatory pattern. In unadjusted and adjusted analysis, compared to cluster 1, cluster 3 had the highest odds of progressing to more severe disease (unadjusted OR (95%CI) 9.02 (4.53-17.96), adjusted OR (95%CI) 6.02 (2.70-13.39)). Conclusion: Early inflammatory profiles predicted subsequent maximal disease severity independent of risk factors for severe COVID-19. A cluster with downregulation of growth factors and endothelial activation markers, and early evidence of alveolar epithelial injury, had the highest risk of severe COVID-19.
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Systemic inflammation and innate immune activation are associated with COVID-19 disease severity. Knowledge gaps remain in the relationships between microbiome, inflammation and COVID-19 disease severity. To better characterise these associations, we performed 16SrDNA analysis of stool samples in COVID-19 subjects to explore diversity and taxanomic composition. We correlated these to host inflammatory profiles, derived from soluble plasma biomarkers measured by bead-based fluorescence and electrochemiluminescence immunoassays. Associations of microbial diversity and inflammatory biomarkers on maximal COVID-19 severity (mild, moderate v severe/critical) was explored using logistic regression and weighted gene correlation network analysis (WGCNA). Of 79 subjects, 58% were male and 88% were Caucasian with 36% experiencing mild disease, 22% moderate disease and 40% critical/severe COVID-19. Hierarchical clustering and principal component analysis (PCo) revealed distinct inflammatory clusters that were found to correlate with 4 modules of microbiome profiles. Modules 3 and 4 were associated with both older age and severe/critical disease outcomes. These modules were enriched in pathogenic and inflammatory bacteria that mapped to a pro-inflammatory biomarker cluster. In contrast, module 1 exhibited enrichment of anti-inflammatory bacteria, was associated with younger age and mild/moderate disease outcomes and mapped to a less-inflamed biomarker cluster. This study provides further insights into links between host microbiome, inflammatory responses to SARS-CoV-2 infection and clinical COVID-19 disease severity, suggesting a role for the microbiome in shaping distinct host inflammatory responses to infection.
Subject(s)
COVID-19 , Microbiota , Humans , Male , Female , SARS-CoV-2 , Inflammation , Patient Acuity , BiomarkersABSTRACT
Background: Liver stiffness measurements can be used to assess liver fibrosis and can be acquired by transient elastography using FibroScan® and with Acoustic Radiation Force Impulse imaging. The study aimed to establish liver stiffness measurement scores using FibroScan® and Acoustic Radiation Force Impulse in a chronic hepatitis C cohort and to explore the correlation and agreement between the scores and the factors influencing agreement. Methods: Patients had liver stiffness measurements acquired with FibroScan® (right lobe of liver) and Acoustic Radiation Force Impulse (right and left lobe of liver). We used Spearman's correlation to explore the relationship between FibroScan® and Acoustic Radiation Force Impulse scores. A Bland-Altman plot was used to evaluate bias between the mean percentage differences of FibroScan® and Acoustic Radiation Force Impulse scores. Univariable and multivariable analyses were used to assess how factors such as body mass index, age and gender influenced the agreement between liver stiffness measurements. Results: Bland-Altman showed the average (95% CI) percentage difference between FibroScan® and Acoustic Radiation Force Impulse scores was 27.5% (17.8, 37.2), p < 0.001. There was a negative correlation between the average and percentage difference of the FibroScan® and Acoustic Radiation Force Impulse scores ( r (95% CI) = -0.41 (-0.57, -0.21), p < 0.001), thus showing that percentage difference gets smaller for greater FibroScan® and Acoustic Radiation Force Impulse scores. Body mass index was the biggest influencing factor on differences between FibroScan® and Acoustic Radiation Force Impulse (r = 0.12 (0.01, 0.23), p = 0.05). Acoustic Radiation Force Impulse scores at segment 5/8 and the left lobe showed good correlation (r (95% CI) = 0.83 (0.75, 0.89), p < 0.001). Conclusion: FibroScan® and Acoustic Radiation Force Impulse had similar predictive values for the assessment of liver stiffness in patients with chronic hepatitis C infection; however, the level of agreement varied across lower and higher scores.
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SARS-CoV-2 neutralising antibodies provide protection against COVID-19. Evidence from early vaccine trials suggested binding antibody thresholds could serve as surrogate markers of neutralising capacity, but whether these thresholds predict sufficient neutralising capacity against variants of concern (VOCs), and whether this is impacted by vaccine or infection history remains unclear. Here we analyse individuals recovered from, vaccinated or with hybrid immunity against SARS-CoV-2. An NT50 ≥ 100 IU confers protection in vaccine trials, however, as VOC induce a reduction in NT50, we use NT50 ≥ 1000 IU as a cut off for WT NT50 that would retain neutralisation against VOC. In unvaccinated convalescent participants, a receptor binding domain (RBD) IgG of 456 BAU/mL predicts an NT50 against WT of 1000 IU with an accuracy of 80% (95%CI 73-86%). This threshold maintains accuracy in determining loss of protective immunity against VOC in two vaccinated cohorts. It predicts an NT50 < 100 IU against Beta with an accuracy of 80% (95%CI 67-89%) in 2 vaccine dose recipients. In booster vaccine recipients with a history of COVID-19 (hybrid immunity), accuracy is 87% (95%CI 77-94%) in determining an NT50 of <100 IU against BA.5. This analysis provides a discrete threshold that could be used in future clinical studies.
Subject(s)
COVID-19 , Vaccines , Humans , SARS-CoV-2 , COVID-19/prevention & control , Antibodies, Viral , Immunoglobulin G , Antibodies, NeutralizingABSTRACT
BACKGROUND: Defining patterns of symptoms in long COVID is necessary to advance therapies for this heterogeneous condition. Here we aimed to describe clusters of symptoms in individuals with long COVID and explore the impact of the emergence of variants of concern (VOCs) and vaccination on these clusters. METHODS: In a prospective, multi centre cohort study, individuals with symptoms persisting > 4 weeks from acute COVID-19 were divided into two groups based on timing of acute infection; pre-Alpha VOC, denoted wild type (WT) group and post-Alpha VOC (incorporating alpha and delta dominant periods) denoted VOC group. We used multiple correspondence analysis (MCA) and hierarchical clustering in the WT and VOC groups to identify symptom clusters. We then used logistic regression to explore factors associated with individual symptoms. RESULTS: A total of 417 individuals were included in the analysis, 268 in WT and 149 in VOC groups respectively. In both groups MCA identified three similar clusters; a musculoskeletal (MSK) cluster characterised by joint pain and myalgia, a cardiorespiratory cluster and a less symptomatic cluster. Differences in characteristic symptoms were only seen in the cardiorespiratory cluster where a decrease in the frequency of palpitations (10% vs 34% p = 0.008) and an increase in cough (63% vs 17% p < 0.001) in the VOC compared to WT groups was observed. Analysis of the frequency of individual symptoms showed significantly lower frequency of both chest pain (25% vs 39% p = 0.004) and palpitations (12% vs 32% p < 0.001) in the VOC group compared to the WT group. In adjusted analysis being in the VOC group was significantly associated with a lower odds of both chest pain and palpitations, but vaccination was not associated with these symptoms. CONCLUSION: This study suggests changes in long COVID phenotype in individuals infected later in the pandemic, with less palpitations and chest pain reported. Adjusted analyses suggest that these effects are mediated through introduction of variants rather than an effect from vaccination.
Subject(s)
COVID-19 , Post-Acute COVID-19 Syndrome , Humans , COVID-19/prevention & control , Cohort Studies , Prospective Studies , Vaccination , Chest Pain , PhenotypeABSTRACT
BACKGROUND: The long-term effects of SARS-CoV-2 infection and optimal follow-up approach are not well-recognised. Here we describe the implementation of a post-COVID clinic in an Irish tertiary centre after the first wave of the pandemic. This study describes the characteristics of our patient cohort and the operations and outcomes of the clinic, exploring some of the risk factors for developing post-COVID syndrome and the appropriateness of the triage system employed. METHODS: All SARS-CoV-2 positive patients from March 10th to June 14th 2020 were telephone-triaged as red, amber or green based on ongoing symptoms with clinic appointments scheduled accordingly. All clinic visits were face-to-face with the infectious diseases medical team and a proforma for each patient was completed. Data were collected retrospectively by reviewing the proformas and the electronic medical record (EMR). RESULTS: 311 patients attended the clinic. Median time from illness to clinic appointment was 95 days (IQR 77-105.5). 204 patients (66%) were female, 192 (62%) were hospital staff, and the median age was 43 years (IQR 31-53). 138 patients (44%) had required hospital admission. At their first clinic visit 219 patients (70%) had ongoing symptoms. A further appointment was made for 62 patients (20%). 34 patients (11%) were discussed at an MDT meeting, and 55 (18%) were referred onward to a specialist service. 85% of those triaged green, 73% of those triaged amber, and 39% of those triaged red did not receive further follow up after one clinic visit. Patients were more likely to require follow up with reported dyspnoea (OR 5.6; 95% CI 2.8-11.3; p <0.001), cough (OR 3.0; 95% CI 1.1-8.4, p = 0.04), and palpitations (OR 3.6; 95% CI 1.0-12.3; p = 0.04). Female sex was associated with increased odds of a higher triage category (OR 1.8; 95% CI 1.08 to 3.20; p = 0.02), as was requiring admission to hospital (OR 4.0; 95% CI 2.34 to 6.90; p < 0.001). CONCLUSION: The long-term effects of COVID-19 are significant with 70% of our cohort experiencing persistent symptoms. Persistent dyspnoea, cough and palpitations were associated with increased need for follow up. This study also suggests that a traffic light telephone-triage service followed by a face-to-face medical-led clinic could be an effective way of identifying patients who require further management.
Subject(s)
COVID-19 , Humans , Female , Adult , Male , COVID-19/epidemiology , SARS-CoV-2 , Retrospective Studies , Amber , CoughABSTRACT
Background: Dysregulated immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are thought to underlie the progression of coronavirus disease 2019 (COVID-19) to severe disease. We sought to determine whether early host immune-related gene expression could predict clinical progression to severe disease. Methods: We analysed the expression of 579 immunological genes in peripheral blood mononuclear cells taken early after symptom onset using the NanoString nCounter and compared SARS-CoV-2 negative controls with SARS-CoV-2 positive subjects with mild (SARS+ Mild) and Moderate/Severe disease to evaluate disease outcomes. Biobanked plasma samples were also assessed for type I (IFN-α2a and IFN-ß), type II (IFN-γ) and type III (IFN-λ1) interferons (IFNs) as well as 10 additional cytokines using multiplex immunoassays. Results: We identified 19 significantly deregulated genes in 62 SARS-CoV-2 positive subject samples within 5 days of symptom onset and 58 SARS-CoV-2 negative controls and found that type I interferon (IFN) signalling (MX1, IRF7, IFITM1, IFI35, STAT2, IRF4, PML, BST2, STAT1) and genes encoding proinflammatory cytokines (TNF, TNFSF4, PTGS2 and IL1B) were upregulated in both SARS+ groups. Moreover, we found that FCER1, involved in mast cell activation, was upregulated in the SARS+ Mild group but significantly downregulated in the SARS+ Moderate/Severe group. In both SARS+ groups we discovered elevated interferon type I IFN-α2a, type II IFN and type III IFN λ1 plasma levels together with higher IL-10 and IL-6. These results indicate that those with moderate or severe disease are characterised by deficiencies in a mast cell response together with IFN hyper-responsiveness, suggesting that early host antiviral immune responses could be a cause and not a consequence of severe COVID-19. Conclusions: This study suggests that early host immune responses linking defects in mast cell activation with host interferon responses correlates with more severe outcomes in COVID-19. Further characterisation of this pathway could help inform better treatment for vulnerable individuals.
Subject(s)
COVID-19 , Interferon Type I , Humans , SARS-CoV-2 , Leukocytes, Mononuclear , Mast Cells , Cell Line , Cytokines , OX40 LigandABSTRACT
Measurement of quantitative antibody responses are increasingly important in evaluating the immune response to infection and vaccination. In this study we describe the validation of a quantitative, multiplex serologic assay utilising an electrochemiluminescence platform, which measures IgG against the receptor binding domain (RBD), spike S1 and S2 subunits and nucleocapsid antigens of SARS-CoV-2. The assay displayed a sensitivity ranging from 73 to 91% and specificity from 90 to 96% in detecting previous infection with SARS-CoV-2 depending on antigenic target and time since infection, and this assay highly correlated with commercially available assays. The within-plate coefficient of variation ranged from 3.8-3.9% and the inter-plate coefficient of variation from 11 to 13% for each antigen.
Subject(s)
COVID-19 , Antibodies, Viral , COVID-19/diagnosis , COVID-19 Testing , Humans , Immunoglobulin G , SARS-CoV-2 , Sensitivity and Specificity , Spike Glycoprotein, Coronavirus , VaccinationABSTRACT
BACKGROUND: Few studies to date have explored the health-related quality of life (HRQoL) in patients with long COVID. METHODS: The Anticipate Study is a prospective single-centre observational cohort study. Hospitalised and nonhospitalised patients were seen at a dedicated post-COVID clinic at a 2-4 month (Timepoint 1) and 7-14 month follow-up (Timepoint 2). The main objectives of this study are to assess the longitudinal impact of COVID-19 in patients using the 12-item Short Form Survey (SF-12) score, a health-related quality of life tool, and to identify predictors of developing post-COVID-19 syndrome (PoCS). In addition, we aimed to describe symptomatology and identify predictors of PoCS at 1-year. RESULTS: A total of 155 patients were enrolled, 105 (68%) were female aged 43.3 (31-52) years. In total 149 (96%) and 94 (61%) patients completed follow-up at median 96 (76-118) days and 364 (303-398) days. The overall cohort had significantly reduced physical composite score (PCS) of the SF-12 (45.39 [10.58] vs 50 [10], p = 0.02). Participants with PoCS had significantly lower scores than those without symptoms at 1-year follow-up (37.2 [10.4] v 46.1 [10.9] p <0.001), and scores for these patients did not improve over the 2 Timepoints (PCS 34.95 [10.5] - 37.2 [10.4], p = 0.22). Fatigue was the most common symptom. Those with 5 or more symptoms at initial diagnosis had lower PCS and mental composite score (MCS) at 1-year. Predictors of PoCS at 1-year were lower PCS and higher baseline heart rate (HR) at clinic review median 3 months after COVID-19. CONCLUSION: Patients with PoCS have lower PCS scores during follow-up, which did not significantly improve up to a 1-year follow-up. Lower PCS scores and higher HR at rest can be used in the weeks after COVID-19 can help predict those at risk of PoCS at 1 year.
Subject(s)
COVID-19 , COVID-19/complications , COVID-19/diagnosis , COVID-19/epidemiology , Cohort Studies , Female , Humans , Longitudinal Studies , Male , Prospective Studies , Quality of Life , Surveys and Questionnaires , Post-Acute COVID-19 SyndromeABSTRACT
Objective: We aimed to use SARS-CoV-2 antibody tests to assess the asymptomatic seroprevalence of individuals in high-risk hospital cohorts who's previous COVID-19 exposure is unknown; staff, and patients requiring haemodialysis or chemotherapy after the first wave. Methods: In a single Center, study participants had five SARS-CoV-2 antibody tests done simultaneously; one rapid diagnostic test (RDT) (Superbio Colloidal Gold IgM/IgG), and four laboratory tests (Roche Elecsys® Anti-SARS-CoV-2 IgG [RE], Abbott Architect i2000SR IgG [AAr], Abbott Alinity IgG [AAl], and Abbott Architect IgM CMIA). To determine seroprevalence, only positive test results on laboratory assay were considered true positives. Results: There were 157 participants, of whom 103 (65.6%) were female with a median age of 50 years (range 19-90). The IgG component of the RDT showed a high number of false positives (n = 18), was inferior to the laboratory assays (p < 0.001 RDT vs. AAl/AAr, p < 0.001 RDT vs. RE), and had reduced specificity (85.5% vs. AAl/AAr, 87.2% vs. RE). Sero-concordance was 97.5% between IgG laboratory assays (RE vs. AAl/AAr). Specificity of the IgM component of the RDT compared to Abbott IgM CMIA was 95.4%. Ten participants had positivity in at least one laboratory assay, seven (9.9%) of which were seen in HCWs. Two (4.1%) hematology/oncology (H/O) patients and a single (2.7%) haemodialysis (HD) were asymptomatically seropositive. Asymptomatic seroprevalence of HCWs compared to patients was not significant (p = 0.105). Conclusion: HCWs (9.9%) had higher, although non-significant asymptomatic seroprevalence of SARS-CoV-2 antibodies compared to high-risk patients (H/O 4.1%, HD 2.7%). An IgM/IgG rapid diagnostic test was inferior to laboratory assays. Sero-concordance of 97.5% was found between IgG laboratory assays, RE vs. AAl/AAr.
ABSTRACT
To date, coronavirus disease 2019 (COVID-19) has affected over 100 million people globally. COVID-19 can present with a variety of different symptoms leading to manifestation of disease ranging from mild cases to a life-threatening condition requiring critical care-level support. At present, a rapid prediction of disease severity and critical care requirement in COVID-19 patients, in early stages of disease, remains an unmet challenge. Therefore, we assessed whether parameters from a routine clinical hematology workup, at the time of hospital admission, can be valuable predictors of COVID-19 severity and the requirement for critical care. Hematological data from the day of hospital admission (day of positive COVID-19 test) for patients with severe COVID-19 disease (requiring critical care during illness) and patients with non-severe disease (not requiring critical care) were acquired. The data were amalgamated and cleaned and modeling was performed. Using a decision tree model, we demonstrated that routine clinical hematology parameters are important predictors of COVID-19 severity. This proof-of-concept study shows that a combination of activated partial thromboplastin time, white cell count-to-neutrophil ratio, and platelet count can predict subsequent severity of COVID-19 with high sensitivity and specificity (area under ROC 0.9956) at the time of the patient's hospital admission. These data, pending further validation, indicate that a decision tree model with hematological parameters could potentially form the basis for a rapid risk stratification tool that predicts COVID-19 severity in hospitalized patients.
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BACKGROUND: A high proportion of hospitalized patients with COVID-19 receive antibiotics despite evidence to show low levels of true bacterial coinfection. METHODS: A retrospective cohort study examining antibiotic prescribing patterns of 300 patients sequentially diagnosed with COVID-19. Patients were grouped into 3 sub-cohorts: Group 1 received no antibiotics, Group 2 received antibiotics for microbiologically confirmed infections and Group 3 was empirically treated with antibiotics for pneumonia. The primary aim was to identify factors that influenced prescription and continuation of antibiotics in Group 3. Secondary aims were to examine differences in outcomes between groups. RESULTS: In total, 292 patients were included (63 Group 1, 35 Group 2, 194 Group 3), median age was 60 years (IQR 44-76) and the majority were ethnically Irish (62%). The median duration of antibiotics was 7 days (IQR 5-10). In Group 3, factors associated with prescription IV antibiotics on admission were raised C-reactive protein (CRP) (P = 0.024), increased age (P = 0.023), higher quick SOFA (P = 0.016) score and fever >37.5 °C (P = 0.011). Factors associated with duration of antibiotic course were duration of hypoxia (P < 0.001) and maximum respiratory support requirement (P = 0.013). Twenty-one patients in Group 3 had one or more antibiotic escalation events, most (n = 139) had no escalation or de-escalation of therapy. CONCLUSIONS: Duration of hypoxia and need for respiratory support may have acted as surrogate measures of improvement where usual response measures (CRP, neutrophilia, culture clearance) were absent. Continuous review of antibiotic prescriptions should be at the forefront of clinical management of hospitalized patients with COVID-19.
ABSTRACT
The choice of an optimal antiretroviral therapy (ART) in naive patients presenting late for initial therapy with advanced HIV infection, that is, with a CD4 cell count <200/µL and/or an AIDS-defining disease (late presenters, LPs), is still a challenge, even for HIV specialists. At present, there is little information on the decision process and selection criteria that physicians must take into account when choosing the presumably optimal initial ART for LPs. This study analyzes reasons for the individual choice of first-line ART in HIV LPs. We conducted a prospective multi-center study to analyze the decision-making process of physicians treating naive HIV patients presenting with a CD4 cell count <200/µL and/or an AIDS-defining condition. Two European HIV treatment centers based in Frankfurt (Germany) and A Coruna (Spain) participated in the study. Physicians documented the reasons that led to their decision for a specific first-line ART regimen. A questionnaire was designed for the study. Decisions of the participating physicians were evaluated. A total of 52 treatment decisions were analyzed. Evaluation of the choice of antiretroviral treatment demonstrated that for the overall group of physicians, simplicity of the regimen was the most important selection criterion in 34.6% of cases. The presence of comorbidities was given as the decisive selection criterion in 26.9%, followed by experience with the chosen drugs in 21.2% of cases. In the group of physicians choosing an integrase strand transfer inhibitor (INSTI)-based regimen for first-line ART, the same selection criteria were identified as in the overall group; 33.3% of clinicians selected an INSTI-based regimen because of its simplicity. The presence of comorbidities was the second most frequent decisive criterion (31.0%), followed by personal experience with the prescribed ART (23.8%). In the protease inhibitor group, simplicity was also the most common selection criterion with 40%. Results of clinical trials were stated as the most important criterion for the selection of ART in 38% of all cases, followed by the expected adherence of the patient (22%). Among the physicians who used a non-nucleoside reverse transcriptase inhibitor-based regimen, patients' desire to have children was the most frequent criterion for selection of ART (60%). An ongoing pregnancy was the second most frequent selection criterion, followed by ART's simplicity (8%). For patients treated with a single-tablet regimen, simplicity of ART was comprehensibly the most important decisive criterion (54.5%). Experience with the chosen drugs was the decisive selection criterion in 24.2%, followed by comorbidities in 18.2% of cases. Physicians' selection of individual ART in patients presenting late for first-line treatment seems to be predominantly dependent on patient-centered factors such as adherence issues as well as the clinical experience of physicians with the prescribed drugs.
Subject(s)
Anti-HIV Agents , HIV Infections , Anti-HIV Agents/therapeutic use , Antiretroviral Therapy, Highly Active , Child , Europe , Female , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Pregnancy , Prospective Studies , SpainABSTRACT
BACKGROUND: About 10-35% of people with COVID-19 need medical care within 3 weeks of infection. However, the prevalence of ongoing care needs among those experiencing severe COVID-19 illness is unclear. AIM: This pilot study aimed to address this knowledge gap by examining GP attendance trends among patients attending a post-COVID-19 hospital follow-up clinic, 3-6 months after an initial clinic visit. DESIGN & SETTING: Data were collected from adult patients attending a post-COVID-19 follow-up clinic at the Mater Misericordiae University Hospital (MMUH), Dublin, Ireland. METHOD: Participants completed questionnaires outlining their demographics; medical histories; emergency hospital admissions and readmissions where applicable; and, where relevant, GP attendances following hospital discharge. Analyses were conducted using descriptive and inferential statistics. RESULTS: Participants' (n = 153) median age was 43.5 years (interquartile range [IQR] = 30.9-52.1 years). There were 105 females (68.6%, 95% confidence interval [CI] = 61.3% to 75.9%). Various medical histories were reported among participants. Sixty-seven (43.2%, 95% CI = 35.9% to 51.6%) received emergency COVID-19 hospital care. Older adults, males, intensive care unit [ICU] admissions, and readmissions were common among hospital attendees. Of the hospital attendees, 16 (24%, 95% CI = 13.7% to 34.2%) attended GPs within 7 days of hospital discharge, and 26 (39%, 95% CI = 27.3% to 50.7%) within 30 days. Older adults, people with pre-existing medical conditions, and individuals admitted to ICU and/or readmitted to hospital were common among general practice attendees. CONCLUSION: Persistent health issues appear to be common among patients with severe COVID-19, particularly those who are older adults, have pre-existing health problems, and who had been in ICU and/or readmission care. Larger scale studies of ongoing COVID-19 care needs in primary care and general practice are required.
ABSTRACT
Coronavirus Disease 2019 (COVID-19), caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has affected over 30 million globally to date. Although high rates of venous thromboembolism and evidence of COVID-19-induced endothelial dysfunction have been reported, the precise aetiology of the increased thrombotic risk associated with COVID-19 infection remains to be fully elucidated. Therefore, we assessed clinical platelet parameters and circulating platelet activity in patients with severe and nonsevere COVID-19. An assessment of clinical blood parameters in patients with severe COVID-19 disease (requiring intensive care), patients with nonsevere disease (not requiring intensive care), general medical in-patients without COVID-19, and healthy donors was undertaken. Platelet function and activity were also assessed by secretion and specific marker analysis. We demonstrated that routine clinical blood parameters including increased mean platelet volume (MPV) and decreased platelet:neutrophil ratio are associated with disease severity in COVID-19 upon hospitalisation and intensive care unit (ICU) admission. Strikingly, agonist-induced ADP release was 30- to 90-fold higher in COVID-19 patients compared with hospitalised controls and circulating levels of platelet factor 4 (PF4), soluble P-selectin (sP-selectin), and thrombopoietin (TPO) were also significantly elevated in COVID-19. This study shows that distinct differences exist in routine full blood count and other clinical laboratory parameters between patients with severe and nonsevere COVID-19. Moreover, we have determined all COVID-19 patients possess hyperactive circulating platelets. These data suggest abnormal platelet reactivity may contribute to hypercoagulability in COVID-19 and confirms the role that platelets/clotting has in determining the severity of the disease and the complexity of the recovery path.
Subject(s)
Blood Platelets/virology , COVID-19/blood , Adenosine Triphosphate/metabolism , Aged , Blood Coagulation , Blood Platelets/cytology , Enzyme-Linked Immunosorbent Assay , Female , Hemostasis , Humans , Inflammation , Intensive Care Units , Male , Mean Platelet Volume , Middle Aged , P-Selectin/blood , Phenotype , Platelet Factor 4/blood , Platelet Function Tests , Thrombopoietin/bloodSubject(s)
Anti-Bacterial Agents/administration & dosage , Antibodies, Monoclonal, Humanized/administration & dosage , Betacoronavirus , Hodgkin Disease , Hydroxychloroquine/administration & dosage , Mediastinal Neoplasms , Positron-Emission Tomography , Adult , Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Bleomycin/administration & dosage , COVID-19 , Coronavirus Infections/diagnosis , Coronavirus Infections/drug therapy , Cyclophosphamide/administration & dosage , Cytarabine/administration & dosage , Dacarbazine/administration & dosage , Doxorubicin/administration & dosage , Etoposide/administration & dosage , Female , Hodgkin Disease/diagnostic imaging , Hodgkin Disease/drug therapy , Hodgkin Disease/virology , Humans , Idarubicin/administration & dosage , Mediastinal Neoplasms/diagnostic imaging , Mediastinal Neoplasms/drug therapy , Mediastinal Neoplasms/virology , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/drug therapy , Prednisone/administration & dosage , Procarbazine/administration & dosage , SARS-CoV-2 , Treatment Outcome , Vinblastine/administration & dosage , Vincristine/administration & dosageABSTRACT
BACKGROUND: The objectives of this study were to investigate the relationships between polymorphisms at the interferon lambda (IFNL) locus and CD4+:CD8+ ratio normalisation in people living with HIV (PLWH) on effective antiretroviral therapy (ART); and to examine whether these polymorphisms influence the composition of T lymphocyte compartments in long-term treated HIV-1 infection. METHODS: A cross-sectional study in PLWH enrolled into the Mater Immunology study. We performed IFNL genotyping on stored samples and evaluated the association of IFNL single-nucleotide polymorphisms (rs368234815 and rs12979860) with CD4+:CD8+ ratio normalization (> 1) and expanded CD4+ and CD8+ T-cell subsets; CD45RO+CD62L+ (central-memory), CD45RO+ CD62L-(effector-memory) and CD45RO-CD62L+ (naïve), using logistic and linear regression models, respectively. RESULTS: 190 ambulatory PLWH recruited to the main study, 143 were included in the analysis (38 had no stored DNA and 9 no T-lymphocyte subpopulation). Of 143 included, the median age (IQR) was 45(39-48) years, 64% were male and 66% were of Caucasian ethnicity. Heterosexual-contact (36%), injecting drug-use (33%) and men who have sex with men (24%) were the most presented HIV-transmission risk groups. The majority of subjects (90.2%) were on ART with 79% of the cohort having an undetectable HIV-RNA (< 40 copies/ml) and the time since ART initiation was 7.5 (3.7-10.4) year. rs368234815 and rs12979860 displayed similar allelic frequencies, with minor alleles ΔG and T representing 39% and 42%, respectively, of circulating alleles. rs368234815 ΔG/ΔG minor homozygotes were significantly associated with increased odds for attaining a normalised CD4+:CD8+ ratio compared to rs368234815 T/T major homozygotes in PLWH virologically suppressed on effective ART (OR = 3.11; 95% CI [1.01:9.56]). rs368234815 ΔG/ΔG homozygosity was also significantly associated with lower levels of CD4+ effector memory T-cells (regression coefficient: - 7.1%, p = 0.04) and CD8+ naïve T-cell subsets were significantly higher in HIV-1 mono-infected PLWH with rs368234815 ΔG/ΔG (regression coefficient: + 7.2%, p = 0.04). CONCLUSIONS: In virally-suppressed, long-term ART-treated PLWH, rs368234815 ΔG/ΔG homozygotes were more likely to have attained normalisation of their CD4+:CD8+ ratio, displayed lower CD4+ effector memory and higher naive CD8+ T-cells. Further studies are needed to replicate our findings in other, larger and more diverse cohorts and to determine the impact of IFNL genetic-variation on CD4+:CD8+ ratio normalisation and clinical outcomes in PLWH.
Subject(s)
Anti-HIV Agents/therapeutic use , CD4-CD8 Ratio , HIV Infections/drug therapy , HIV Infections/genetics , Interferons/genetics , Adult , Alleles , Cohort Studies , Cross-Sectional Studies , Female , Genotype , HIV Infections/immunology , HIV-1 , Homosexuality, Male , Humans , Immunologic Memory , Male , Middle Aged , Polymorphism, Genetic , Sustained Virologic Response , Viral Load/drug effectsABSTRACT
BACKGROUND: Whilst reporting improved renal and bone safety profiles, studies have noted changes in lipid profiles among people living with HIV (PLWH) receiving antiretroviral therapy (ART) switching away from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF). We aimed to characterize changes in lipids observed after switching to TAF-containing ART in a real-world setting. METHODS: A prospective study on PLWH enrolled in the UCD-ID Cohort study who switched to TAF-containing ART. Routine laboratory data [including lipids (total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL) and triglycerides], ART history and use of lipid-lowering therapy (LLT) were analysed preswitch and postswitch to TAF. Dyslipidaemia was classified according to the National Cholesterol Education Program-Adult Panel III (NCEP-ATP III). Change in lipid parameters and change in the proportion of individuals with dyslipidaemia postswitch was assessed using the paired t-test and the Stuart--Maxwell test, respectively. RESULTS: Of 775 PLWH enrolled in the cohort, 238 switched to TAF containing ART, of whom 194 had both preswitch and postswitch lipids measured a median (IQR) 24 (14-41) weeks postswitch to TAF. TC, LDL, HDL, triglycerides and TCâ:âHDL ratio significantly increased postswitch [mean change (SE) mmol/l; +0.37 (0.06), Pâ<â0.001; +0.25 (0.06), Pâ<â0.001; +0.05 (0.02), Pâ=â0.003, +0.13 (0.07), Pâ=â0.02, and +0.16 (0.08), Pâ=â0.013) respectively]. There were significant increases in the proportions of PLWH with more severe dyslipidaemia postswitch across TC and LDL (both Pâ<â0.001). CONCLUSION: These data suggest clinically relevant, worsening lipid profiles postswitch to TAF, with a larger proportion of PLWH exceeding recommended lipid thresholds postswitch. How these changes will impact on cardiovascular risk or need for LLT remains to be determined.
Subject(s)
Adenine/analogs & derivatives , Anti-HIV Agents/therapeutic use , Cholesterol, LDL/drug effects , HIV Infections/drug therapy , Lipid Metabolism/drug effects , Lipids/blood , Tenofovir/therapeutic use , Adenine/adverse effects , Adenine/therapeutic use , Adult , Alanine , Anti-HIV Agents/adverse effects , Cholesterol/blood , Cholesterol, LDL/blood , Cohort Studies , Female , Humans , Male , Middle Aged , Prospective Studies , Tenofovir/administration & dosage , Treatment OutcomeABSTRACT
INTRODUCTION: Increased prevalence of low bone mineral density (BMD) and increased fracture incidence are observed in persons living with HIV (PLWH). The trabecular bone score (TBS) is a novel index of bone microarchitecture which improves fracture prediction independent of BMD. METHODS: The HIV UPBEAT study is a single centre, prospective cohort study that enrolled subjects with and without HIV from similar sociodemographic backgrounds for annual assessments of bone health. TBS was derived from lumbar spine (LS) dual-energy X-ray absorptiometry images. Univariate and multivariable linear regression was used to assess relationships between baseline TBS, BMD, sociodemographic and clinical factors. RESULTS: 463 subjects (201 HIV positive) were included; PLWH were younger and more likely male, of non-African ethnicity and current smokers. HIV was associated with a mean reduction of 0.037 [-0.060, -0.013] (p = 0.002) in TBS. Lower TBS was also associated with male gender, non-African ethnicity, current smoking status and lower LS BMD. HIV remained associated with lower TBS after adjustment for LS BMD, age, gender and ethnicity. However, adjustment for current smoking significantly attenuated the association between HIV and TBS, with further adjustment for higher bone turnover markers largely explaining any residual association. Among the sub-group of PLWH, exposure to protease inhibitors and lower nadir CD4+ T-cell counts were both predictors of lower TBS. CONCLUSIONS: PLWH have lower TBS independent of LS BMD. However, this is largely explained by higher current smoking rates and higher bone turnover in those with HIV. Exposure to PI, but not tenofovir disproxil fumarate, also contributed to lower TBS in those with HIV.
Subject(s)
Bone Density , Cancellous Bone/diagnostic imaging , HIV Infections/diagnostic imaging , Absorptiometry, Photon , Adult , Cohort Studies , Female , Fractures, Bone/etiology , HIV Infections/complications , Humans , Lumbar Vertebrae/diagnostic imaging , Male , Middle Aged , Prospective Studies , Risk Factors , Smoking/adverse effectsABSTRACT
OBJECTIVE: Although low bone mineral density (BMD) is prevalent in HIV, changes in BMD over time remain unclear. We aimed to compare rates of, and factors associated with, BMD change between HIV-positive and HIV-negative patients. METHODS: In a prospective, 3-year cohort, HIV-positive and HIV-negative patients provided annual demographic and clinical data, fasting bloods, and dual x-ray absorptiometry. Using longitudinal mixed models we compared and determined predictors of rate of change in BMD. RESULTS: Of 384 study participants (45.8% HIV positive), 120 contributed two and 264 contributed three BMD measurements. Those with HIV were younger [median interquartile range 39 (34-46) vs. 43 (35-50) years; Pâ=â0.04], more often men (61 vs. 46%; Pâ=â0.003), and less likely Caucasian (61 vs. 82%; Pâ<â0.001). Although BMD was lower in those with HIV, BMD declined in both groups, with nonsignificant between-group difference in rate of BMD change over time. Within the HIV group, starting antiretroviral therapy (ART) within 3 months of enrolment was associated with greater BMD decline at all anatomical sites (all Pâ<â0.001). Age more than 30 years, Caucasian ethnicity, and not being on ART during follow-up were associated with greater decline and higher parathyroid hormone associated with a smaller decline in BMD at the femoral neck. We found no association between BMD change and exposure to tenofovir disoproxil fumarate or protease inhibitors. CONCLUSION: We observed no difference in rate of BMD decline regardless of HIV status and in HIV-positive patient, having started ART within the previous 3 months was the only factor associated with greater BMD decline at all three sites.