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The COVID-19 (corona virus disease 2019) has caused serious impacts worldwide. Many scholars have done a lot of research on the prevention and control of the epidemic. The diagnosis of COVID-19 by cough is non-contact, low-cost, and easy-access, however, such research is still relatively scarce in China. Mel frequency cepstral coefficients (MFCC) feature can only represent the static sound feature, while the first-order differential MFCC feature can also reflect the dynamic feature of sound. In order to better prevent and treat COVID-19, the paper proposes a dynamic-static dual input deep neural network algorithm for diagnosing COVID-19 by cough. Based on Coswara dataset, cough audio is clipped, MFCC and first-order differential MFCC features are extracted, and a dynamic and static feature dual-input neural network model is trained. The model adopts a statistic pooling layer so that different length of MFCC features can be input. The experiment results show the proposed algorithm can significantly improve the recognition accuracy, recall rate, specificity, and F1-score compared with the existing models. © 2023 Chinese Institute of Electronics. All rights reserved.
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Background: X-Linked Moesin-Associated Immune Deficiency (X-MAID) is a rare severe combined immunodeficiency (SCID) subtype that can present at any age due to its variability. Depending on severity, patients demonstrate failure to thrive, recurrent bacterial and viral infections, and increased susceptibility to varicella zoster. It has been characterized by marked lymphopenia with hypogammaglobulinemia and impaired T-cell migration and proliferation. Case Presentation: This is a report of a Cuban 7-year-old male with poor weight gain and facial dysmorphia. He had a history of recurrent bacterial gastrointestinal infections and pneumonia beginning at 4 months of age. He additionally had 4-6 upper respiratory tract and ear infections annually. While still living in Cuba, he was admitted for a profound EBV infection in the setting of significant leukopenia. A bone marrow biopsy confirmed no malignancy. After he moved to the United States, his laboratory work-up revealed marked leukopenia with low absolute neutrophil and lymphocyte count with low T and B cells, very low immunoglobulin levels IgG, IgA, and IgM, and poor vaccination responses to streptococcus pneumonia, varicella zoster, and SARS-CoV-2. Genetic testing revealed a missense pathogenic variant c.511C>T (p.Arg171Trp) in the moesin (MSN) gene associated with X-MAID. He was managed with Bactrim and acyclovir prophylaxis, and immunoglobulin replacement therapy, and considered for hematopoietic stem cell transplantation. Discussion(s): Diagnosis of X-MAID should be considered in patients with recurrent infections and profound lymphopenia. As with SCID, early diagnosis and intervention is of utmost importance to prevent morbidity and mortality. This case demonstrates the importance of genetic testing in identifying this disease as it may prompt an immunologist to consider HSCT if conservative management is suboptimal. In the current literature, HSCT appears promising, but the long-term outcomes have yet to be described.Copyright © 2023 Elsevier Inc.
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PurposeThe authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crises episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak).Design/methodology/approachThe authors use the GARCH and Wavelet approaches to estimate causalities and connectedness.FindingsAccording to the findings, China and developed equity markets are connected via risk transmission in the long term across various crisis episodes. In contrast, China and emerging equity markets are linked in short and long terms. The authors observe that China leads the stock markets of India, Indonesia and Malaysia at higher frequencies. Even China influences the French, Japanese and American equity markets despite the Chinese crisis. Finally, these causality findings reveal a bi-directional causality among China and its developed trading partners over short- and long-time scales. The connectedness varies across crisis episodes and frequency (short and long run). The study's findings provide helpful information for portfolio hedging, especially during various crises.Originality/valueThe authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crisis episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak). Previously, none of the studies have examined the connectedness between Chinese and its trading partners' equity markets during these all crises.
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Background/Objectives: The broad spectrum of clinical manifestations from SARS-COV-2 infection and observed risk factors for severe disease highlight the importance of understanding molecular mechanisms underlying SARS-CoV-2 associated disease pathogenesis. Research studies have identified a large number of host proteins that play roles in viral entry, innate immune response, or immune signalling during infection. The ability to interrogate subsets of these genes simultaneously within SARSCOV-2 infected samples is critical to understanding how their expression contribute to phenotypic variability of the disease caused by the pathogen. Method(s): 30 Nasopharyngeal swab were obtained and included SARS-CoV-2 infected and control samples. RNA was extracted, reverse transcribed and loaded onto flexible TaqMan array panels designed specifically for targeting the most cited genes related to SARS-COV-2 entry and restriction factors as well as cytokines, chemokines, and growth factors involved in the pathogenesis. Result(s): Our data indicated that not only were the levels of several of these host factors differentially modulated between the two study groups, but also that SARS-CoV-2 infected subjects presented with greater frequency of several important inflammatory cytokines and chemokines such as CCL2, CCL3, IFNG, entry receptors such as ACE2, TMRPS11A, and host restriction factors including LY6E and ZBP1. Conclusion(s): TaqMan array plates provide a fast, midthroughput solution to determine the levels of several virus and host-associated factors in various cell types and add to our understanding of how the pathogenesis may vary depending on gender, age, infection site etc.
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In order to better understand the impact of COVID-19 on the free-floating bike-sharing (FFBS) system and the potential role of FFBS played in the pandemic period, this study explores the impact mechanism of travel frequency of FFBS users before and after the pandemic. Using the online questionnaire collected in Nanjing, China, we first analyze the changes of travel frequency, travel distance, and travel duration in these two periods. Then, two ordered logit models are applied to explore the contributing factors of the weekly trip frequency of FFBS users before and after COVID-19. The results show that: (1) While the overall travel duration and travel distance of FFBS users decreased after the pandemic, the trip frequency of FFBS users increased as the travel duration increased. (2) Since COVID-19, attitude perception variables of the comfort level and the low travel price have had significantly positive impacts on the weekly trip frequency of FFBS users. (3) Respondents who use FFBS as a substitution for public transport are more likely to travel frequently in a week after the outbreak of COVID-19. (4) The travel time in off-peak hours of working days, weekends, and holidays has a significantly positive correlation with the trip frequency of FFBS users. Finally, several relevant policy recommendations and management strategies are proposed for the operation and development of FFBS during the similar disruptive public health crisis.
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Background: COVID-19 has been associated with cerebral microbleeds (CMB). Previously, an association of ApoE4 with COVID-19 severity and CMBs in autopsy was found. In this study, we investigated if carrying the Apoe4 allele relates to the number of CMBs in magnetic resonance imaging (MRI) in patients recovered from COVID-19. Material(s) and Method(s): Adult patients recovered from COVID-19 and a control group without a history of COVID-19 was recruited. Exclusion criteria were major neurologic disease, developmental disability or pregnancy. The participants underwent brain MRI 6 months after infection, and a blinded neuroradiologist analyzed the findings. ApoE was genotyped using a microarray. Statistical analysis was performed using the statistical software R. A negative binomial model was chosen based on the distribution of CMBs. Result(s): Of the 216 subjects that underwent MRI, 168 consented to genetic testing, additionally 2 patients were excluded due to extensive CMBs and 1 due to diffuse axonal injury. We included 113 COVID-19 patients (49 ICU-treated, 29 ward-treated and 35 home-isolated) and 52 controls. The most prevalent comorbidities were hypertension, asthma and diabetes. CMBs was found in 47 subjects, with the number of CMBs ranging from 0 to 26. The ApoeE4 allele was carried by 37%, equally distributed among the groups. After adjustment, age (aRR = 1.06, p = 0.007) and COVID-19 (aRR = 2.59, p = 0.038) were independently associated with CMBs. The ApoE4 allele (aRR = 2.16, p = 0.07, CI = 0.94-5.10) was not significant. Conclusion(s): Age and previous COVID-19, but not possession of the ApoeE4 allele, were independently associated with the number of CMBs.
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Past research has discovered that the shape design and interaction process design of AI robots, as well as the users' constant features, are the major factors that affect users' willingness to interact with AI robots. Currently, AI robots that play a vital part in the daily activities of our society are becoming increasingly prevalent, thus things about AI robots have gone from mythic to prosaic. But when and where people are more likely to adopt AI robots remains an important research topic. With the development of online technology and the long-term impact of COVID-19, there has been a recent trend in the lower frequency of socializing. To investigate whether a state of low socializing frequency is a robotic moment and whether it affects people's willingness to interact with AI robots, we conducted two-wave questionnaire surveys to collect data from 300 participants from 23 provinces in China. The results showed that the frequency of socializing had a significant negative correlation with the willingness to interact with the AI robots via the mediation role of social compensation. Furthermore, the relationship between social compensation and willingness to interact with the AI robots was demonstrated to be stronger, when participants had a lower anthropomorphic tendency. These findings have theoretical implications for the human-computer interaction literature and managerial implications for the robotics industry. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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the CoVid-19 pandemic drastically changed different aspects of the daily lives of millions of people, generating an increase in the use of the internet for maintaining social contact, teleworking or online studies. this study explores the extent to which the internet connection pattern changed during the CoVid-19 confinement in a sample of adults from four latin american countries, considering gender and age. a descriptive study was carried out, including a non-probabilistic convenience sample design. the final sample was comprised of 1488 participants. this analysis shows that internet habits changed in terms of frequency, duration, and time of use. We observe differences when it comes to gender and age. in women, the increases in use are greater for the different variables analyzed, especially for the frequency of connection at night. in terms of age, the younger the age, the greater the increase in internet connection time throughout the day and connection time at night. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Spanish) la pandemia de CoVid-19 cambio drasticamente diferentes aspectos de la vida cotidiana de millones de personas, generando un incremento del uso de internet para el mantenimiento del contacto social, el teletrabajo o los estudios online. en este articulo se evalua en que medida presento cambios el patron de conexion a internet durante el confinamiento por CoVid-19 en una muestra de adultos de cuatro paises de america latina, considerando el sexo y la edad. se propuso un estudio descriptivo, con diseno no probabilistico de muestreo por conveniencia. la muestra final quedo compuesta por 1488 participantes. el analisis muestra que los habitos de conexion a internet se modificaron en terminos de frecuencia, duracion y horarios, observandose diferencias en funcion del sexo y la edad. en mujeres son mayores los incrementos de uso para las distintas variables analizadas, especialmente para la frecuencia de conexion nocturna. en cuanto a la edad, a menor edad se observa un mayor aumento del tiempo de conexion a internet a lo largo del dia y de conexion en horario nocturno. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Coronavirus disease 2019 (COVID-19) is a fatal pandemic viral disease caused by the severe acute respiratory syndrome corona virus type-2 (SARS-CoV-2). The aim of this study is to observe the associations of IL-6, SARS-COV-2 viral load (RNAemia), IL- 6 gene polymorphism and lymphocytes and monocytes in peripheral blood with disease severity in COVID-19 patients. This study was carried out from March 2021 to January 2022. RT-PCR positive 84 COVID-19 patients and 28 healthy subjects were enrolled. Blood was collected to detect SARS-COV-2 viral RNA (RNAemia) by rRT-PCR, serum IL-6 level by chemiluminescence method, SNPs of IL-6 by SSP-PCR, immunophenotyping of lymphocytes and monocyte by flow cytometry. Serum IL-6 level (pg/ml) was considerably high among critical patients (102.02 +/- 149.7) compared to severe (67.20 +/- 129.5) and moderate patients (47.04 +/- 106.5) and healthy controls (3.5 +/- 1.8). Serum SARS-CoV-2 nucleic acid positive cases detected mostly in critical patients (39.28%) and was correlated with extremely high IL-6 level and high mortality (R =.912, P < 0.001). Correlation between IL-6 and monocyte was statistically significant with disease severity (severe group, p < 0.001, and 0.867*** and critical group p < 0.001 and 0.887***). In healthy controls, moderate, severe and critically ill COVID-19 patients, IL-6 174G/C (rs 1800795) GG genotype was 82.14%, 89.20%, 67.85% and 53.57% respectively. CC and GC genotype had strong association with severity of COVID-19 when compared with GG genotype. Significant statistical difference found in genotypes between critical and moderate groups (p < 0.001, OR-10.316, CI-3.22-23.86), where CC genotype was associated with COVID-19 severity and mortality. The absolute count of T cell, B cell, NK cell, CD4+ T cells and CD8+ T cells were significantly decreased in critical group compared to healthy, moderate and severe group (P < 0.001). Exhaustion marker CD94/NKG2A was increased on NK cells and CD8+ cytotoxic T cell among critical and severe group. Absolute count of monocyte was significantly increased in critical group (P < 0.001). Serum IL-6, IL-6 174 G/C gene and SARS-CoV-2 RNAaemia can be used in clinical practice for risk assessment;T cell subsets and monocyte as biomarkers for monitoring COVID-19 severity. Monoclonal antibody targeting IL-6 receptor and NKG2A for therapeutics may prevent disease progression and decrease morbidity and mortality.Copyright © 2023 Elsevier Inc.
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Investigating the essential impact of the cryptocurrency market on carbon emissions is significant for the U.S. to realize carbon neutrality. This exploration employs low-frequency vector auto-regression (LF-VAR) and mixed-frequency VAR (MF-VAR) models to capture the complicated interrelationship between cryptocurrency policy uncertainty (CPU) and carbon emission (CE) and to answer the question of whether cryptocurrency policy uncertainty could facilitate U.S. carbon neutrality. By comparison, the MF-VAR model possesses a higher explanatory power than the LF-VAR model;the former's impulse response indicates a negative CPU effect on CE, suggesting that cryptocurrency policy uncertainty is a promoter for the U.S. to realize the goal of carbon neutrality. In turn, CE positively impacts CPU, revealing that mass carbon emissions would raise public and national concerns about the environmental damages caused by cryptocurrency transactions and mining. Furthermore, CPU also has a mediation effect on CE;that is, CPU could affect CE through the oil price (OP). In the context of a more uncertain cryptocurrency market, valuable insights for the U.S. could be offered to realize carbon neutrality by reducing the traditional energy consumption and carbon emissions of cryptocurrency trading and mining.
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Background/Objectives: Corticosteroids are widely used for the treatment of coronavirus disease (COVID)-19 caused by SARS-CoV- 2 as they attenuate the immune response with their antiinflammatory properties. Genetic polymorphisms of glucocorticoid receptor, metabolizing enzymes or transporters may affect treatment response to dexamethasone. The aim of this study was to evaluate the association of polymorphisms in glucocorticoid pathway with disease severity and duration of dexamethasone treatment in COVID-19 patients. Method(s): Our study included 107 hospitalized COVID-19 patients treated with dexamethasone. We isolated DNA from peripheral blood and genotyped all samples for polymorphisms in NR3C1 (rs6198, rs33388), CYP3A4 (rs35599367), CYP3A5 (rs776746), GSTP1 (rs1695, rs1138272), GSTM1/GSTT1 deletions and ABCB1 (1045642, rs1128503, rs2032582 Fisher's and Mann- Whitney tests were used in statistical analysis. Result(s): The median (min-max) age of the included patients was 62 (26-85) years, 69.2 % were male and 30.8 % female and they had moderate (1.9 %), severe (83 %) or critical (15.1 %) disease. NR3C1 rs6198 polymorphism was associated with more severe disease in additive genetic model (P = 0.022). NR3C1 rs6198, ABCB1 rs1045642 and ABCB1 rs1128503 polymorphisms were associated with a shorter duration of dexamethasone treatment in additive (P = 0.048, P = 0.047 and P = 0.024, respectively) and dominant genetic models (P = 0.015, P = 0.048 and P = 0.020, respectively), while carriers of the polymorphic CYP3A4 rs35599367 allele required longer treatment with dexamethasone (P = 0.033). Other polymorphisms were not associated with disease severity or dexamethasone treatment duration. Conclusion(s): Genetic variability of glucocorticoid pathway genes was associated with the duration of dexamethasone treatment of COVID-19 patients.
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Case history: We present the case of a 31-year-old Hispanic male with history of recurrent bronchiectasis, invasive aspergillosis, and severe persistent asthma, who is now status post lung transplant for end-stage lung disease. He initially presented at 7 years of age with diarrhea, failure to thrive, and nearly absent immunoglobulin levels (IgG < 33 mg/dL, IgA < 7 mg/dL, IgM = 11 mg/dL, IgE = 4 IU/dL) necessitating IVIG treatment. Small intestinal biopsy showed villous atrophy consistent with autoimmune enteropathy. Sweat chloride was reported as indeterminate (44 me/dL). Initial WBC, platelet, and T- and NK-cell counts were within normal range, and B-cell count and percentage were borderline low. Most recently, he was found to have increased immature B-cell count (CD21low), decreased memory B-cells, and poor pneumococcal vaccine antibody response. Patient has been hospitalized numerous times with increasingly severe bronchiectasis, pneumonitis, and COVID-19 infections twice despite vaccination, leading to respiratory failure and lung transplantation. Family history is negative for immune deficiency and lung diseases. Discussion(s): Of these 3 VUSs (see the table), the one in IRF2BP2 has the most pathogenic potential due to its autosomal dominant inheritance, its location in a conserved domain (Ring), and previous case reports of pathogenic variants at the same or adjacent alleles 1-3. Baxter et al reported a de novo truncating mutation in IRF2BP2 at codon 536 (c.1606CinsTTT), which is similar to our patient's mutation. This patient was noted to have an IPEX-like presentation, with chronic diarrhea, hypogammaglobulinemia, and recurrent infections. Variant Functional Prediction Score for our variant predicts a potentially high damage effect. There are 2 other case reports of heterozygous mutations in loci adjacent to this allele;one (c.1652G>A)2 with a similar clinical phenotype to our patient and the other (C.625-665 del)3 with primarily inflammatory features and few infections. Impact: This case highlights a variant in IRF2BP2 associated with severe hypogammaglobulinemia, recurrent pulmonary infections, and autoimmune enteropathy. [Table presented]Copyright © 2023 Elsevier Inc.
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Introduction: Macrophage activation syndrome (MAS) is a severe hyper inflammatory condition caused by the over-activation and proliferation of T cells, NK cells and macrophages. It is often associated with complications of rheumatic/immune diseases. We present a case of a 15-year-old female who experiences recurrent episodes of MAS without any known definitive underlying etiology. Case Presentation: A 15-year-old previously healthy female developed fatigue, fevers, myalgia, chest pain, splenomegaly and lymphadenopathy 10 days after receiving her first Pfizer COVID-19 vaccine. Her symptoms recurred 10 days after receiving the second dose. Her myocarditis, MIS-C, and infectious work up was negative except for positive EBV IgG. Laboratory studies revealed anemia, hypertriglyceridemia, hypofibrinogenemia, and hyperferritinemia. She initially responded to decadron;however, her symptoms recurred with steroid taper. Bone marrow biopsy revealed hemophagocytosis. Whole exome sequencing (WES) revealed a heterozygous variant of uncertain significance in UNC13D c.962C>A (p.Thr321Asn). She had multiple re-admissions with significantly elevated inflammatory markers, including extremely high IL2-R, IL-18 and CXCL9. Each episode was complicated by an acute viral infection. She responds to high dose steroids, anti-IL-1, and JAK inhibitors. Nonetheless, it has been difficult to wean decadron without triggering a flare. She continues to require increasing doses of baricitinib. Discussion(s): MAS may be seen as a complication of rheumatic diseases, as well as inborn errors of immunity. However, none of these conditions have been diagnosed in this patient despite extensive testing, including WES. The degree of her immune dysregulation has been very severe making her disease process unpredictable and extremely difficult to control. She has frequent flares precipitated by viral infections or attempts at adjusting her immunomodulators. Weaning her medications has been challenging as she continues to require increasing doses of baricitinib and corticosteroids. The UNC13D gene is associated with autosomal recessive familial hemophagocytic lymphohistiocytosis type 3 (FHL3). Our patient is heterozygous for an UNC13D variant of uncertain significance. Additional genetic inquiries with whole genome sequencing to help elucidate the underlying etiology of her severe condition is being conducted. We hypothesize she developed MAS due to a combination of genetic predisposition, prior EBV infection, and immune stress associated with the COVID-19 vaccine. [Formula presented] [Formula presented] [Formula presented]Copyright © 2023 Elsevier Inc.
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COVID-19 vaccines, approved under emergency use authorization, were not required to meet serialization requirements, but they have been properly labelled to meet US Food and Drug Administration (FDA) requirements, he says, complete with 2D barcodes with GTIN, lot, and expiry date. The company decided to serialize its Diprovan anesthetic, a workhorse generic product, using radio frequency identification tags containing the four identifiers (2). "If an agent is handling your product on your behalf, they need to leverage GS1 Standards including GTINs for products [and] global location numbers (GLNs) for physical locations, and share data electronically using electronic product code information services (EPCIS) to capture events from manufacturing to serialization [and] capping to shipping.
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Introduction: COVID-19 related encephalitis has been reported in pediatric patients;however, there are no reports in patients with inborn errors of immunity (IEI). Activated PI3K Delta Syndrome (APDS) is a disease of immune dysregulation with immunodeficiency, autoimmunity, and abnormal lymphoproliferation resulting from autosomal dominant gain-offunction variants in PIK3CD or PIK3R1 genes. We investigate a family with APDS, one mother and three children, one of whom developed COVID-19 related encephalitis. Method(s): Patients were consented to an IRB-approved protocol at our institution. Medical records and detailed immunophenotyping were reviewed. Family members were sequenced for IEI with a targeted gene panel. Result(s): The index case is a 10-year-old female with a known pathogenic variant in PIK3CD (c.3061 G > A, p.Glu1021Lys), who contracted SARS-COV-2 despite one COVID-19 vaccination in the series. Her disease course included COVID-related encephalitis with cerebellitis and compression of the pons, resulting in lasting truncal ataxia and cerebellar mutism. At that time, the patient was not on immunoglobulin replacement therapy (IgRT), but was receiving Sirolimus. Besides the index case, 3 family members (2 brothers, 1 mother) also share the same PIK3CD variant with variable clinical and immunological phenotypes. All children exhibited high transitional B-cells, consistent with developmental block to follicular B cell stage. Increased non-class switched IgM+ memory B cells and skewing towards CD21lo B cell subset, which is considered autoreactive-like, was observed in all patients. Of note, the patient had low plasmablasts, but normal immunoglobulins. Of her family members, only one was receiving both sirolimus and IgRT. Conclusion(s): We describe a rare case of COVID-19-related encephalitis in a patient with inborn error of immunity while not on IgRT. This may indicate infection susceptibility because of a lack of sufficient immunity to SARS-CoV-2, unlike the rest of her family with the same PIK3CD variant.Copyright © 2023 Elsevier Inc.
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Objectives: A 7-month-old boy presented with generalized urticaria since the first week of life, without any other clinical manifestation. Cow's milk allergy was ruled out. His development was normal for his age. Maternal history was significant for COVID-19 infection in the third trimester of pregnancy with mild symptoms. Family history was significant for dermatographism in a maternal uncle. Hives were migratory with no single lesion persisting more than 24 h. There were no recognizable triggers and only relieved for 1-2 days after each vaccination. Patient was treated with optimal doses of antihistamines without improvement. Method(s): Laboratory tests and further studies were performed Results: Laboratory tests were normal including complete blood testing, circulating autoantibodies and infectious studies. C-reactive protein level and erythrocyte sedimentation rate were elevated. Due to chronic urticaria of newborn onset unresponsive to antihistamines a monogenic autoinflammatory disease was suspected. A targeted gene panel covering causative genes revealed the unreported p.Gly307Ala variant in the NLRP3 gene with a variant allele frequency (VAF) of 3% compatible with gene mosaicism. NLRP3 variant was classified as "likely pathogenic" based on its location, where a different variant has been reported as causing a severe form of cryopyrin-associated periodic syndromes (CAPS), and bioinformatic analyses. As expected, the variant was absent in patient's parents supporting for its de novo nature. Vision and hearing exams were normal. Treatment with canakinumab will start soon. Discussion(s): CAPS are dominantly-inherited autoinflammatory diseases caused by gain-of-function NLRP3 variants. These variants are often germline, but in some reported cases the variants are postzygotic causing gene mosaicism as in the patient here described. We believe that the mild presentation in our patient, despite having a likely pathogenic variant, may be explained by the low VAF. The genetic diagnosis in our patient allowed early initiation of anti-IL-1 treatment, which probably will prevent the development of other CAPS manifestations.
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Is there an increased incidence of bacteraemia among COVID-19 patients requiring critical care admission who have received IL-6 inhibitors? Introduction: Interleukin-6 (IL-6) inhibitors have been shown to reduce mortality in hospitalised COVID-19 patients. There is, however, concern that induced immunosuppression may increase the risk of secondary nosocomial infection. Objective(s): Our primary aim was to determine if there was increased incidence of bacteraemia in COVID-19 patients requiring critical care admission who had received IL-6 inhibitors compared to those who had not. Method(s): A retrospective review of all COVID-19 admissions to two critical care units in Liverpool from 4th March 2020 to 31st October 2021. Patients were divided into those who received an IL-6 inhibitor (sarilumab or tociluzimab) and those who did not. Hospital antimicrobial policy was to administer a five day prophylactic course of co-amoxiclav and clarithromycin for patients with severe COVID-19 during the study period. Blood culture results from 14 days before admission to critical care and 90 days after admission were included. The blood culture results comprised cultures taken in both critical care and on the wards. Data were linked and analysed using Stata V15.1 (StataCorp, Stata Statistical Software: Release 15, College Station, Texas, USA). Result(s): 894 patients were included in the study. 134 patients had at least one positive blood culture result. The most commonly identified pathogens were Coliforms (23/134, 17.2%), Enterobacter (22/134, 16.4%) and Escherichia coli (16/134, 11.9%). Of patients administered an IL-6 antagonist, 16.8% (114/565) developed a positive blood culture compared to 11.6% (20/172) who did not, p=0.096. We did not observe an increased frequency of antimicrobial resistant culture in the IL-6 administered group 22.8% (26/114) vs. 20.0% (4/20) in this cohort, p=0.781. Data have not been adjusted for demographic and clinical factors in this preliminary analysis. Conclusion(s): We observed a trend toward increased frequency of blood culture positivity in patients administered an IL-6 antagonist within this COVID-19 positive cohort but this was not statistically significant. Further analysis is required to adjust for relevant demographic and clinical factors.
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Introduction: Variants in PPP1R13L are associated with severe childhood-onset cardiomyopathy resulting in rapid progression to death or cardiac transplantation. PPP1R13L is proposed to encode a protein that limits the transcriptional activity of the NFkappaB pathway leading to elevated IL-1, IL-6, and TNF-alpha production in murine models. Optimal medical management for PPP1R13L-related cardiomyopathy is unknown. Here we report usage of a targeted anti-IL-1 immuno-modulatory therapy resulting in cardiac stabilization in a pediatric patient with congenital cardiomyopathy secondary to PPP1R13L variants. Case Report: A 4-year-old boy presented acutely with fever in the setting of persistent abdominal pain, vomiting, fatigue, and decreased appetite for two months following a mild COVID-19 related illness. Echocardiogram revealed severely depressed biventricular systolic function with an ejection fraction of 30%. Due to acute decompensated heart failure symptoms with hemodynamic instability, he was intubated and placed on continuous inotropic infusions with aggressive diuresis. Cardiac MRI demonstrated extensive subepicardial to near transmural fibrosis by late gadolinium enhancement in right and left ventricles. An implantable cardioverter-defibrillator (ICD) was placed due to frequent runs of polymorphic non-sustained ventricular tachycardia. Testing for viral pathogens was positive for rhino/enterovirus. Initial genetic testing was non-diagnostic (82-gene cardiomyopathy panel) but given the patient's significant presentation whole genome sequencing was pursued that showed two separate PPP1R13L variants in trans (c.2167A>C,p.T723P and c.2179_2183del,p. G727Hfs*25, NM_006663.4). Patient serum cytokine testing revealed elevations in IL-10 (4.7 pg/mL) and IL-1beta (20.9 pg/mL). Given the patient's tenuous circumstances and concern for continued progression of his cardiac disease, a trial of IL-1 inhibition via anakinra dosed at 3 mg/kg or 45 mg daily was initiated following hospital discharge. With approximately 6 months of therapy, the patient's cardiac function is stable with normalization of IL-10 and IL-1beta serum levels. Notably, the ventricular arrhythmia decreased after initiation of anakinra with no ICD shocks given. Therapy overall has been well tolerated without infectious concerns. Conclusion(s): In patients with PPP1R13L-related cardiomyopathy, immuno-modulatory therapies should be considered in an attempt to slow cardiac disease progression.Copyright © 2023 Elsevier Inc.
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Background/Objectives: SARS-CoV-2 infection clinical manifestations hugely vary among patients, ranging from no symptoms, to life-threatening conditions. This variability is also due to host genetics: COVID-19 Host Genetics Initiative identified six loci associated with COVID-19 severity in a previous case-control genome-wide association study. A different approach to investigate the genetics of COVID-19 severity is looking for variants associated with mortality, e.g. by analyzing the association between genotypes and time-to-event data. Method(s): Here we perform a case-only genome-wide survival analysis, of 1,777 COVID-19 patients from the GEN-COVID cohort, 60 days after infection/hospitalization. Case-only studies has the advantage of eliminating selection biases and confounding related to control subjects. Patients were genotyped using Illumina Infinium Global Screening Arrays. PLINK software was used for data quality check and principal component analysis. GeneAbel R package was used for survival analysis and age, sex and the first four principal components were used as covariates in the Cox proportional hazard model. Result(s): We found four variants associated with COVID-19 patient survival at a nominal P < 1.0 x 10-6. Their minor alleles were associated with a higher mortality risk (i.e. hazard ratios (HR)>1). In detail, we observed: HR=1.03 for rs28416079 on chromosome 19 (P=1.34 x 10-7), HR=1.15 for rs72815354 on chromosome 10 (P=1.66 x 10-7), HR=2.12 for rs2785631 on chromosome 1 (P=5.14 x 10-7), and HR=2.27 for rs2785631 on chromosome 5 (P=6.65 x 10-7). Conclusion(s): The present results suggest that germline variants are COVID-19 prognostic factors. Replication in the remaining HGI COVID-19 patient cohort (EGAS00001005304) is ongoing at the time of submission.
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Background/Objectives: During COVID-19 pandemic, it is essential to detect patients potentially at risk of life-threatening complications, due to possible specific genetic mutations. The aim of our work is to show a practical application of genetic testing, allowing a diagnosis of alpha 1 antitrypsin deficiency in cases with a severe clinical course during COVID-19 infection. Method(s): During hospitalization for COVID-19, we identified 5 patients (3 female, 2 males from two different families, age range 18-47 years) with a severe course of COVID-19 infection, requiring high pressure ventilation with high volume oxygen supply. Two months after discharge, those patients were reevaluated with respiratory function tests, biochemical tests, genetic counselling and genetic testing. A peripheral blood sampling for SERPINA1 genetic testing has been performed, using Sanger sequencing. Result(s): Two months after discharge, in all 5 patients respiratory function tests were consistent with a dysventilatory obstructive syndrome, in contrast with usual findings related to COVID-19 infection. Blood test still showed increase plasmatic transaminase concentration in 3 out of 5 patients, one having increased serum bilirubin as well. We performed SERPINA1 genetic testing showing homozygosity for SERPINA1 pathogenic mutations (c.193del and c.875C>T, respectively) in all 5 patients. Conclusion(s): These cases showed the importance of genetic testing for patients with unexplained severe COVID-19 infection. Genetic testing allowed the diagnosis of cases affected by alpha 1 antitrypsin deficiency, associated with dysventilatory obstructive syndrome, that may worsen the short and long term prognosis of COVID-19.