ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic had a major impact on global health and was associated with millions of deaths worldwide. During the pandemic, imaging characteristics of chest X-ray (CXR) and chest computed tomography (CT) played an important role in the screening, diagnosis and monitoring the disease progression. Various studies suggested that quantitative image analysis methods including artificial intelligence and radiomics can greatly boost the value of imaging in the management of COVID-19. However, few studies have explored the use of longitudinal multi-modal medical images with varying visit intervals for outcome prediction in COVID-19 patients. This study aims to explore the potential of longitudinal multimodal radiomics in predicting the outcome of COVID-19 patients by integrating both CXR and CT images with variable visit intervals through deep learning. 2274 patients who underwent CXR and/or CT scans during disease progression were selected for this study. Of these, 946 patients were treated at the University of Pennsylvania Health System (UPHS) and the remaining 1328 patients were acquired at Stony Brook University (SBU) and curated by the Medical Imaging and Data Resource Center (MIDRC). 532 radiomic features were extracted with the Cancer Imaging Phenomics Toolkit (CaPTk) from the lung regions in CXR and CT images at all visits. We employed two commonly used deep learning algorithms to analyze the longitudinal multimodal features, and evaluated the prediction results based on the area under the receiver operating characteristic curve (AUC). Our models achieved testing AUC scores of 0.816 and 0.836, respectively, for the prediction of mortality. © 2023 SPIE.
ABSTRACT
Severe COVID-19 patients may develop pulmonary fibrosis, similar to SSc-ILD disease, suggesting a potential link between the two diseases. However, there are limited treatment options for SSc-ILD-type diseases. Therefore, investigating pathological markers of the two diseases can provide valuable insights for treating related conditions. RNA sequencing technology offers high throughput and precision. However, the bimodal nature of RNA-Seq data cannot be accurately captured by commonly used algorithms such as DESeq2. To address this issue, the Beta-Poisson model has been developed to identify differentially expressed genes. Unlike the classical DESeq2 algorithm, the Beta-Poisson model introduces a Beta distribution to construct a new hybrid distribution in place of the Gamma distribution of the Gamma-Poisson distribution, effectively characterizing the bimodal features of RNA-Seq data. The transcriptomes of SARS-CoV infection and SSc-ILD disease in the lung epithelial cell dataset were analyzed to identify common differentially expressed genes of SARS-CoV and SSc-ILD disease. Gene function and signaling pathway enrichment analysis and protein-protein interaction (PPI) network were used to identify common pathways and drug targets for SSc-ILD with COVID-19 infection. The results show that there are 50 differentially expressed genes in common between COVID-19 and SSC-ILD. The functions of these genes are mainly enriched in immune system response, interferon signaling pathway and other related signaling pathways, and enriched in biological processes such as cell defense response to virus and interferon regulation. Based on the detection of hub genes based on PPIs network, it is predicted that STAT1, ISG15, IRF7, MX1, EIF2AK2, DDX58, OAS1, OAS2, IFIT1 and IFIT3 are the key genes involved in the pathological phenotype of the two diseases. Based on the key genes, the interaction of transcription factor (TF) and miRNA with common differentially expressed genes is also identified. The possible pathological markers of the two diseases and related molecular regulatory mechanisms of disease treatment are revealed to provide theoretical basis for the treatment of the two diseases. © 2023 Editorial Office of Journal of Shenzhen University. All rights reserved.
ABSTRACT
OBJECTIVE: To analyze the role of nosocomial infection informatics surveillance system in the prevention and control of multidrug-resistant organisms(MDROs) infections. METHODS: The First Affiliated Hospital of Guangdong Pharmaceutical University was selected as the study subjects, which had adopted the nosocomial infection informatics surveillance system since Jan.2020. The period of Jan.to Dec.2020 were regarded as the study period, and Jan.to Dec.2019 were regarded as the control period. The situation of nosocomial infection and MDROs infections in the two periods were retrospectively analyzed. RESULTS: The incidence of nosocomial infections and underreporting of nosocomial infection cases in this hospital during the study period were 2.52%(1 325/52 624) and 1.74%(23/1 325), respectively, and the incidences of ventilator associated pneumonia(VAP), catheter related bloodstream infection(CRBSI), catheter related urinary tract infection(CAUTI)were 4.10(31/7 568), 2.11(14/6 634), and 2.50(25/9 993) respectively, which were lower than those during the control period(P< 0.05). The positive rate of pathogenic examination in the hospital during the study period was 77.95%(1 269/1 628), which was higher than that during the control period(P<0.05), the overall detection rate of MDROs was 15.77%(206/1 306), the detection rates of MDROs in Escherichia coli, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus epidermidis, Pseudomonas aeruginosa and Staphylococcus aureus were lower than those during the control period(P<0.05). CONCLUSION: The development and application of the informatics technology-based surveillance system of nosocomial infection could effectively reduce the incidence of nosocomial infections and device related infections, decrease the under-reporting of infection cases, and also reduce the detection rate of MDROs as well as the proportion of MDROs detected in common pathogenic species.
ABSTRACT
BackgroundSARS-CoV-2(Severe acute respiratory syndrome coronavirus 2) has been circulating worldwide for three years. It mainly causes upper respiratory tract infection, which can manifest as pulmonary infection and even respiratory distress syndrome in severe cases. Different autoantibodies can be detected in patients infected with COVID-19.ObjectivesTo explore autoantibodies related to rheumatic diseases after COVID-19 infection.MethodsNinety-eight inpatients were tested for antinuclear antibodies (ANA), antibodies to extractable nuclear antigens(ENA), anti-neutrophil cytoplasmic antibodies（ANCA), anticardiolipin antibodies,a-β2GPI (IgG/IgM). They were from a tertiary hospital in Guangzhou during the COVID-19 epidemic. Data were described statistically.ResultsNinety-eight hospitalized patients were tested for relevant antibodies. The average age was 50.64±19.54;67 (68.4%) were male, 64 (65.3%) were COVID-19 positive, 90 (90.9%) had rheumatic diseases, and 56 of them were COVID-19 positive patients with rheumatic diseases.There were 76 patients tested for antinuclear antibodies;29 （38.16%）were negative, 18 （23.68%）had a 1/80 titre, and 29（28.16%） had a titre greater than 1:80. The 31 covid patients were positive for ANA. In the high-titer group, 19 patients with rheumatic diseases were positive for COVID-19, and 12 patients had an exacerbation of the rheumatic diseases (6 of whom had previously had pulmonary fibrosis). Of 31 covid patients, only two were non-rheumatic patients, and both were elderly, aged 85 and 100, respectively.Fifty-six patients had ENA results, and 29 for positive antibodies, 8 for ds-DNA antibodies, 2 for anti-Sm antibodies, 6 for anti-nucleosome antibodies, 12 for anti-U1RNP antibodies, 2 for anti-Scl-70 antibodies, 12 for anti-SS-A antibodies, 3 for anti-mitochondrial M2 antibodies, 2 for anti-centromere antibodies, 1 for anti-Po antibodies, and one for anti-Jo-1 antibody. All 56 patients had rheumatic diseases, and no new patients were found.There were 62 patients with ANCA data. P-ANCA was positive in 12 cases(19.35%), and MPO-ANCA was positive in 2 cases. An 85-year-old non-rheumatic COVID-19 patient was P-ANCA positive. She had a history of hypertension, colon cancer, CKD3, coronary heart disease, and atrial flutter.In the anticardiolipin antibodies group, there were 62 patients;only 6 were positive, and 2 were rheumatic patients infected with COVID-19. Antiphospholipid antibodies were detected in 33 patients, and a-β2GPI was tested in one patient, an 82-year-old COVID-19 patient with gout, diabetes, and cerebral infarction in the past. We did not find a statistical difference in the above results.ConclusionWe have not found a correlation between SARS-CoV-2 and serum autoantibodies of rheumatic immune diseases. It needs large samples and an extended follow-up to research.AcknowledgementsThis work was supported by Scientific and Technological Planning Project of Guangzhou City [202102020150], Guangdong Provincial Basic and Applied Basic Research Fund Project [2021A1515111172], National Natural Science Foundation of China Youth Fund [82201998] and Third Affiliated Hospital of Sun Yat-Sen University Cultivating Special Fund Project for National Natural Science Foundation of China [2022GZRPYQN01].Disclosure of Interestsone declared.
ABSTRACT
Objective: To explore the pathogen composition and distribution characteristics of pathogens in respiratory samples from patients with fever of unknown origin. Methods: A total of 96 respiratory samples of patients with unknown cause fever with respiratory symptoms were collected from four hospitals above grade II in Shijiazhuang area (Hebei Provincial Hospital of Traditional Chinese Medicine, Luancheng District People's Hospital, Luquan District People's Hospital, Shenze County Hospital) from January to April 2020, and multiplex-fluorescent polymerase chain reaction(PCR)was used to detect influenza A virus, influenza B virus, enterovirus, parainfluenza virus I/II/III/IV, respiratory adenovirus, human metapneumovirus, respiratory syncytial virus, human rhinovirus, human bocavirus, COVID-19, Mycoplasma pneumoniae, Chlamydia pneumoniae, Legionella pneumophila, Pseudomonas aeruginosa, Streptococcus pneumoniae, Klebsiella pneumoniae, Group A streptococcus, Haemophilus influenzae, Staphylococcus aureus nucleic acid detection, the results were analyzed for chi-square. Results: A total of 8 pathogens were detected in the upper respiratory tract samples of 96 fever patients, including 1 kind of virus, 6 kinds of bacterias, and Mycoplasma pneumoniae. There were 12 viruses including influenza virus and parainfluenza virus, Legionella pneumophila and Chlamydia pneumoniae were not detected. The pathogen detection rates in descending order were Streptococcus pneumoniae (58/96, 60.42%), Haemophilus influenzae(38/96, 39.58%), Klebsiella pneumoniae (14/96, 14.58%), Staphylococcus aureus (10/96, 10.42%), Mycoplasma pneumoniae (8/96, 8.33%), Pseudomonas aeruginosa (6/96, 6.25%), Group A streptococcus (4/96, 4.17%) and human rhinovirus (2/96, 2.08%). The proportions of single-pathogen infection and multi-pathogen mixed infection in fever clinic patients were similar, 41.67% (40/96) and 45.83% (44/96), respectively, and 12.50% (12/96)of the cases had no pathogens detected. The infection rate of Mycoplasma pneumoniae in female patients with fever (21.43%) was higher than that in male patients with fever (2.94%) (P < 0.05). There was no statistical difference between the distribution of of other pathogens and gender and age(P > 0.05). Conclusions: The upper respiratory tract pathogens were mainly bacterial infections, and occasional human rhinovirus and Mycoplasma pneumonia infections. In clinical diagnosis and treatment, comprehensive consideration should be given to the pathogen detection.
ABSTRACT
Aim: Although most patients with COVID-19 experience respiratory tract infections, severe reactions to the virus may cause coagulation abnormalities that mimic other systemic coagulopathies associated with severe infections, such as disseminated intravascular coagulation and thrombotic microangiopathy. Fluctuations in platelet markers, which are an indicator of the acute phase response for COVID-19, are of clinical importance. The aim of this study is to evaluate the relationship between disease severity and Platelet Mass Index (MPI) parameters in COVID-19 patients. Material(s) and Method(s): This retrospective observational study was conducted with patients who were diagnosed with COVID-19 in a tertiary hospital. The study was continued with the remaining 280 patients. All laboratory data were scanned retrospectively from patient files and hospital information system. Result(s): A very high positive correlation was found between PMI and PLT. The PMI value in women was significantly higher than in men. It was observed that PMI did not differ significantly in terms of mortality, intubation, CPAP and comorbidity. PMI vs. Pneumonia Ct Severity Score, biochemistry parameters (AST, CRP), hemogram parameters (WBC, HGB, HCT, MCV, LYM, MPV EO) and coagulation factors (aPTT and FIB) at various levels of positive/negative, weak and strong, and significant relationship was found. There was no significant relationship between hormone and D-dimer when compared with PMI. Discussion(s): Although platelet count alone does not provide information about the prognosis of the disease, PMI may guide the clinician as an indicator of lung damage in seriously ill patients.Copyright © 2022, Derman Medical Publishing. All rights reserved.
ABSTRACT
Objective: To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods: The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results: The mean nucleic acid conversion time of 228 patients was (18.7+or-12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2+or-2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8+or-1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P > 0.05);however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P < 0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P < 0.05). Conclusions: The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.
ABSTRACT
BackgroundComprehensive and large-scale assessment of health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) worldwide is lacking. The second COVID-19 vaccination in autoimmune disease (COVAD-2) study [1] is an international, multicentre, self-reported e-survey assessing several aspects of COVID-19 infection and vaccination as well as validated patient-reported outcome measures (PROMs) to outline patient experience in various autoimmune diseases (AIDs), with a particular focus on IIMs.ObjectivesTo investigate physical and mental health in a global cohort of IIM patients compared to those with non-IIM autoimmune inflammatory rheumatic diseases (AIRDs), non-rheumatic AIDs (NRAIDs), and those without AIDs (controls), using Patient-Reported Outcome Measurement Information System (PROMIS) global health data obtained from the COVAD-2 survey.MethodsDemographics, AID diagnoses, comorbidities, disease activity, treatments, and PROMs were extracted from the COVAD-2 database. The primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Secondary outcomes included PROMIS physical function short form-10a (PROMIS PF-10a), pain visual analogue scale (VAS), and PROMIS Fatigue-4a scores. Each outcome was compared between IIMs, non-IIM AIRDs, NRAIDs, and controls. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.ResultsA total of 10,502 complete responses from 1582 IIMs, 4700 non-IIM AIRDs, 545 NRAIDs, and 3675 controls, which accrued as of May 2022, were analysed. Patients with IIMs were older [59±14 (IIMs) vs. 48±14 (non-IIM AIRDs) vs. 45±14 (NRAIDs) vs. 40±14 (controls) years, p<0.001] and more likely to be Caucasian [82.7% (IIMs) vs. 53.2% (non-IIM AIRDs) vs. 62.4% (NRAIDs) vs. 34.5% (controls), p<0.001]. Among IIMs, dermatomyositis (DM) and juvenile DM were the most common (31.4%), followed by inclusion body myositis (IBM) (24.9%). Patients with IIMs were more likely to have comorbidities [68.1% (IIMs) vs. 45.7% (non-IIM AIRDs) vs. 45.1% (NRAIDs) vs. 26.3% (controls), p<0.001] including mental disorders [33.4% (IIMs) vs. 28.2% (non-IIM AIRDs) vs. 28.4% (NRAIDs) vs. 17.9% (controls), p<0.001].GPH median scores were lower in IIMs compared to NRAIDs or controls [13 (interquartile range 10–15) IIMs vs. 13 (11–15) non-IIM AIRDs vs. 15 (13–17) NRAIDs vs. 17 (15–18) controls, p<0.001] and PROMIS PF-10a median scores were the lowest in IIMs [34 (25–43) IIMs vs. 40 (34–46) non-IIM AIRDs vs. 47 (40–50) NRAIDs vs. 49 (45–50) controls, p<0.001]. GMH median scores were lower in AIDs including IIMs compared to controls [13 (10–15) IIMs vs. 13 (10–15) non-IIM AIRDs vs. 13 (11–16) NRAIDs vs. 15 (13–17) controls, p<0.001]. Pain VAS median scores were higher in AIDs compared to controls [3 (1–5) IIMs vs. 4 (2–6) non-IIM AIRDs vs. 2 (0–4) NRAIDs vs. 0 (0–2) controls, p<0.001]. Of note, PROMIS Fatigue-4a median scores were the highest in IIMs [11 (8–14) IIMs vs. 8 (10–14) non-IIM AIRDs vs. 9 (7–13) NRAIDs vs. 7 (4–10) controls, p<0.001].Multivariable regression analysis in IIMs identified older age, male sex, IBM, comorbidities including hypertension and diabetes, active disease, glucocorticoid use, increased pain and fatigue as the independent factors for lower GPH scores, whereas coexistence of interstitial lung disease, mental disorders including anxiety disorder and depression, active disease, increased pain and fatigue were the independent factors for lower GMH scores.ConclusionBoth physical and mental health are significantly impaired in patients with IIMs compared to those with non-IIM AIDs or those without AIDs. Our results call for greater attention to patient-reported experience and comorbidities including mental disorders to provide targeted approaches and optimise global well-being in patients with IIMs.Reference[1]Fazal ZZ, Sen P, Joshi M, et al. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int. 2022;42:2151–58.AcknowledgementsThe authors a e grateful to all respondents for completing the questionnaire. The authors also thank The Myositis Association, Myositis India, Myositis UK, the Myositis Global Network, Cure JM, Cure IBM, Sjögren's India Foundation, EULAR PARE for their contribution to the dissemination of the survey. Finally, the authors wish to thank all members of the COVAD study group for their invaluable role in the data collection.Disclosure of InterestsAkira Yoshida: None declared, Yuan Li: None declared, Vahed Maroufy: None declared, Masataka Kuwana Speakers bureau: Boehringer Ingelheim, Ono Pharmaceuticals, AbbVie, Janssen, Astellas, Bayer, Asahi Kasei Pharma, Chugai, Eisai, Mitsubishi Tanabe, Nippon Shinyaku, Pfizer, Consultant of: Corbus, Mochida, Grant/research support from: Boehringer Ingelheim, Ono Pharmaceuticals, Naveen Ravichandran: None declared, Ashima Makol Consultant of: Boehringer-Ingelheim, Parikshit Sen: None declared, James B. Lilleker: None declared, Vishwesh Agarwal: None declared, Sinan Kardes: None declared, Jessica Day Grant/research support from: CSL Limited, Marcin Milchert: None declared, Mrudula Joshi: None declared, Tamer A Gheita: None declared, Babur Salim: None declared, Tsvetelina Velikova: None declared, Abraham Edgar Gracia-Ramos: None declared, Ioannis Parodis Grant/research support from: Amgen, AstraZeneca, Aurinia Pharmaceuticals, Eli Lilly, Gilead Sciences, GlaxoSmithKline, Janssen Pharmaceuticals, Novartis, and F. Hoffmann-La Roche, Elena Nikiphorou Speakers bureau: Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, Eli Lilly, Consultant of: Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, Eli Lilly, Grant/research support from: Pfizer, Eli Lilly, Ai Lyn Tan Speakers bureau: AbbVie, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB, Consultant of: AbbVie, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB, Arvind Nune: None declared, Lorenzo Cavagna: None declared, Miguel A Saavedra Consultant of: AbbVie, GlaxoSmithKline, Samuel Katsuyuki Shinjo: None declared, Nelly Ziade Speakers bureau: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Consultant of: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Grant/research support from: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Johannes Knitza: None declared, Oliver Distler Speakers bureau: AbbVie, Amgen, Bayer, Boehringer Ingelheim, Janssen, Medscape, Novartis, Consultant of: 4P-Pharma, AbbVie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Horizon, Inventiva, Janssen, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe, Novartis, Prometheus, Redxpharma, Roivant, Sanofi, Topadur, Grant/research support from: AbbVie, Amgen, Boehringer Ingelheim, Kymera, Mitsubishi Tanabe, Novartis, Roche, Hector Chinoy Grant/research support from: Eli Lilly, UCB, Vikas Agarwal: None declared, Rohit Aggarwal Consultant of: Mallinckrodt, Octapharma, CSL Behring, Bristol Myers-Squibb, EMD Serono, Kezar, Pfizer, AstraZeneca, Alexion, Argenx, Boehringer Ingelheim (BI), Corbus, Janssen, Kyverna, Roivant, Merck, Galapagos, Actigraph, Abbvie, Scipher, Horizontal Therapeutics, Teva, Biogen, Beigene, ANI Pharmaceutical, Nuvig, Capella, CabalettaBio, Grant/research support from: Bristol Myers-Squibb, Pfizer, Mallinckrodt, Janssen, Q32, EMD Serono, Boehringer Ingelheim, Latika Gupta: None declared.
ABSTRACT
Covid-19 virus variants identified so far are due to viral genetic diversity, genetic evolution, and variable infectivity, suggesting that high infection rates and high mortality rates may be contributed by these mutations. And it has been reported that the targeting strategies for innate immunity should be less vulnerable to viral evolution, variant emergence and resistance. Therefore, the most effective solution to Covid-19 infection has been proposed to prevent and treat severe exacerbation of patients with moderate disease by enhancing human immune responses such as NK cell and T cell. In previous studies, we demonstrated for the first time that gamma-PGA induced significant antitumor activity and antiviral activity by modulating NK cell-mediated cytotoxicity. Especially intranasal administration of gamma-PGA was found to effectively induce protective innate and CTL immune responses against viruses and we found out that gamma-PGA can be an effective treatment for cervical intraepithelial neoplasia 1 through phase 2b clinical trial. In this study, the possibility of gamma-PGA as a Covid-19 immune modulating agent was confirmed by animal experiments infected with Covid-19 viruses. After oral administration of gamma-PGA 300mug/mouse once a day for 5 days in a K18-hACE2 TG mouse model infected with SARS-CoV-2 (NCCP 43326;original strain) and SARS-CoV-2 (NCCP 43390;Delta variant), virus titer and clinical symptom improvement were confirmed. In the RjHan:AURA Syrian hamster model infected with SARS-CoV-2 (NCCP 49930;Delta variant), 350 or 550 mug/head of gamma-PGA was administered orally for 10 days once a day. The virus for infection was administered at 5 x 104 TCID50, and the titer of virus and the improvement of pneumonia lesions were measured to confirm the effectiveness in terms of prevention or treatment. In the mouse model infected with original Covid-19 virus stain, the weight loss was significantly reduced and the survival rate was also improved by the administration of gamma-PGA. And gamma-PGA alleviated the pneumonic lesions and reduced the virus titer of lung tissue in mice infected with delta variant. In the deltavariant virus infected hamster model, gamma-PGA showed statistically significant improvement of weight loss and lung inflammation during administration after infection. This is a promising result for possibility of Covid-19 therapeutics along with the efficacy results of mouse model, suggesting gammaPGA can be therapeutic candidate to modulate an innate immune response for Covid-19.
ABSTRACT
Objective: To analyze the clinical manifestations, diagnostic methods and treatment process of the patients with non-Hodgkin's lymphoma complicated with human coronavirus(HCoV)-HKU1 pneumonia and improve the clinical medical staff's awareness of the disease, and to reduce the occurrence of clinical adverse events. Method(s): The clinical data of a patient with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia with hot flashes and night sweats, dry cough and dry throat as the main clinical features who were hospitalized in the hospital in January 2021 were analyzed, and the relevant literatures were reviewed and the clinical manifestations and diagnosis of HCoV-HKU1 were analyzed. Result(s): The female patient was admitted to the hospital due to diagnosed non-Hodgkin's lymphoma for more than 2 months. The physical examination results showed Karnofsky score was 90 points;there was no palpable enlargement of systemic superfical lymph nodes;mild tenderness in the right lower abdomen, no rebound tenderness, and slightly thicker breath sounds in both lungs were found, and a few moist rales were heard in both lower lungs. The chest CT results showed diffuse exudative foci in both lungs, and the number of white blood cells in the urine analysis was 158 muL-1;next generation sequencing technique(NGS) was used the detect the bronchoalveolar lavage fluid, and HCoV-HKU1 pneumonia was diagnosed. At admission, the patient had symptoms such as dull pain in the right lower abdomen, nighttime cough, and night sweats;antiviral treatment with oseltamivir was ineffective. After treatment with Compound Sulfamethoxazole Tablets and Lianhua Qingwen Granules, the respiratory symptoms of the patient disappeared. The re-examination chest CT results showed the exudation was absorbed. Conclusion(s): The clinical symptoms of the patients with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia are non-specific. When the diffuse shadow changes in the lungs are found in clinic, and the new coronavirus nucleic acid test is negative, attention should still be paid to the possibility of other HCoV infections. The NGS can efficiently screen the infectious pathogens, which is beneficial to guide the diagnosis and treatment of pulmonary infectious diseases more accurately.Copyright © 2023 Jilin University Press. All rights reserved.
ABSTRACT
Background: The outbreak of coronavirus disease 2019 (COVID-19) was declared by the World Health Organization (WHO) as a COVID-19 pandemic on March 11, 2020. Therefore, the availability of vaccines will help develop immunity and protect people from this pandemic. The present systematic study examined knowledge, attitudes, and willingness of adolescents towards COVID-19 vaccine in Bangkok, Thailand. Objectives: The objective of the study was to evaluate the knowledge, attitudes, and willingness toward COVID-19 vaccine of key stage 4A-5 students at Satit Prasarnmit International Programme in Bangkok towards COVID-19 vaccine. Materials and Methods: The study was conducted using an online questionnaire. A total of 136 students participated. Knowledge, attitudes, and willingness of adolescents toward the COVID-19 vaccine were assessed. Differences between outcomes and socio-demographic characteristics of participants were analyzed through independent t-tests and the ANOVA. The level of willingness to vaccinate against COVID-19 was analyzed by a generalized linear model. Results: Students revealed moderate knowledge about COVID-19, correctly answering 11.08 out of 15 points (SD = 1.74), a low level of attitudes toward COVID-19 vaccine 8.49 out of 15 points (SD = 2.51), and low level of willingness to vaccinate against COVID-19 vaccine 2.29 out of 5 points (SD = 1.26), in total of 35 points (28 questions). There are statistically significant positive correlations shown between attitude towards COVID-19 vaccine and the level of willingness to vaccinate against COVID-19 vaccine (I2 = 0.384, P < 0.01%). Conclusion: This study revealed students in Satit Prasarnmit International Programme had moderate knowledge towards COVID-19, negative attitudes toward COVID-19 vaccine and low willingness to vaccinate against COVID-19. Furthermore, it indicates that there is a casual relationship between attitudes toward COVID-19 vaccine and the willingness of individuals to be vaccinated against COVID-19 vaccine. Thus, attitude toward COVID-19 vaccine acts as a major predictive factor toward the willingness to vaccinate against COVID-19 vaccine. Therefore, to increase peopleA's willingness to be vaccinated against COVID-19 vaccine, it is necessary to increase peopleA's attitude toward COVID-19 vaccine.
ABSTRACT
Submission content Introduction: An unusual case of a very young patient without previously known cardiac disease presenting with severe left ventricular failure, detected by a point of care echocardiogram. Main Body: A 34 year old previously well man was brought to hospital after seeing his general practitioner with one month of progressive shortness of breath on exertion. This began around the time the patient received his second covid-19 vaccination. He was sleeping in a chair as he was unable to lie flat. Abnormal observations led the GP to call an ambulance. In the emergency department, the patient required oxygen 5L/min to maintain SpO2 >94%, but he was not in respiratory distress at rest. Blood pressure was 92/53mmHg, mean 67mmHg. Point of care testing for COVID-19 was negative. He was alert, with warm peripheries. Lactate was 1.0mmol/L and he was producing more than 0.5ml/kg/hr of urine. There was no ankle swelling. ECG showed sinus tachycardia. He underwent CT pulmonary angiography which demonstrated no pulmonary embolus, but there was bilateral pulmonary edema. Troponin was 17ng/l, BNP was 2700pg/ml. Furosemide 40mg was given intravenously by the general medical team. Critical care outreach asked for an urgent intensivist review given the highly unusual diagnosis of pulmonary edema in a man of this age. An immediate FUSIC Heart scan identified a dilated left ventricle with end diastolic diameter 7cm and severe global systolic impairment. The right ventricle was not severely impaired, with TAPSE 18mm. There was no significant pericardial effusion. Multiple B lines and trace pulmonary effusions were identified at the lung bases. The patient was urgently discussed with the regional cardiac unit in case of further deterioration, basic images were shared via a cloud system. A potential diagnosis of vaccination-associated myocarditis was considered,1 but in view of the low troponin, the presentation was felt most likely to represent decompensated chronic dilated cardiomyopathy. The patient disclosed a family history of early cardiac death in males. Aggressive diuresis was commenced. The patient was admitted to a monitored bed given the potential risk of arrhythmia or further haemodynamic deterioration. Advice was given that in the event of worsening hypotension, fluids should not be administered but the cardiac centre should be contacted immediately. Formal echocardiography confirmed the POCUS findings, with ejection fraction <35%. He was initiated on ACE inhibitors and beta adrenergic blockade. His symptoms improved and he was able to return home and to work, and is currently undergoing further investigations to establish the etiology of his condition. Conclusion(s): Early echocardiography provided early evidence of a cardiac cause for the patient's presentation and highlighted the severity of the underlying pathology. This directed early aggressive diuresis and safety-netting by virtue of discussion with a tertiary cardiac centre whilst it was established whether this was an acute or decompensated chronic pathology. Ultrasound findings: PLAX, PSAX and A4Ch views demonstrating a severely dilated (7cm end diastolic diameter) left ventricle with global severe systolic impairment.
ABSTRACT
Aim: People with type 1 or type 2 diabetes have a higher hospital admission rate following Covid-19 infection. This study aims to determine the degree to which the results of a previous study in Greater Manchester (GM) could be replicated in national-level data for England. Method(s): We focussed on the univariable regression analysis, which shows the association between admission and Covid-19 infection in people with diabetes. Modelling was conducted using logistic regression on data from the Covid-IMPACT database. Odds ratios were compared descriptively with the previous study. Result(s): In people with type 2 diabetes, factors associated with an increased risk of hospitalisation similar to the previous study were: older age, male sex, higher social deprivation, higher body mass index (BMI), higher cholesterol, lower eGFR, taking an ACE-inhibitor/ ARB, not taking metformin, and having asthma or hypertension. Patients with COPD, and those taking aspirin or clopidogrel also had increased risk, but the national data showed a greater risk (GM COPD odds ratio 1.89 [1.63-2.19] vs national 2.34 [2.28-2.40] / aspirin 1.49 [1.34-1.66] vs 1.66 [1.63-1.70] / clopidogrel 1.71 [1.47-1.98] vs 1.99 [1.94-2.04]). Similar results were observed in patients with type 1 diabetes. However, due to the increase in sample size, many factors which were previously not statistically significant have become significant, such as in type 2 diabetes BMI, low HDL-cholesterol. Conclusion(s): We have successfully replicated the methods, results and conclusions of our previous study in relation to factors associated with increased risk of hospital admission in diabetes individuals. Regional databases are suitable for large cohort studies, and in this instance produced similar results to a national database, validating our previous findings.
ABSTRACT
Objectives: Data about COVID-19 patients treated with veno-arterial-ECMO (VA-ECMO) is limited. Reported survival rates range from 27.9% to 77.8%, depending on VA-ECMO indication. A subgroup of patients suffers from circulatory failure due to a COVID-19 associated hyperinflammatory state (CovHI). In these patients, differentiation between inflammation and sepsis is difficult but important. In this retrospective case series, differential diagnoses of COVID-19 associated refractory circulatory failure and survival rates in different indications for VA-ECMO are investigated. Method(s): Retrospective analysis of 28 consecutive COVID-19 patients requiring VA-ECMO at the University Hospital Regensburg between March 2020 and May 2022. Specific treatment for COVID-19 was in accordance with respective guidelines. Mycotic infections were either invasive or met current definitions of COVID19-associated-pulmonary aspergillosis. Result(s): At VA-ECMO initiation, median age was 57.3 years (IQR: 51.4 - 61.8), SOFA score 16 (IQR: 13 - 17) and norepinephrine dosing 0.53mug/kg/min (IQR: 0.32 - 0.78). Virus-variants were: 61% wild-type, 14% Alpha, 18% Delta and 7% Omicron. Survival to hospital discharge was 39%. 17 patients were primarily supported with VA-ECMO only (survival 42%), 3 patients were switched from VV to VA-ECMO (survival 0%), and 8 patients were converted from VA to VAV or VV-ECMO (survival 50%). Indications for VA-ECMO support were pulmonary embolism (PE) (n=5, survival 80%), right heart failure due to secondary pulmonary hypertension (n=5, survival 20%), cardiac arrest (n=4, survival 25%), acute left heart failure (ALHF) (n=11, survival 36%) and refractory vasoplegia (n=3, survival 0%). Inflammatory markers at VA-ECMO initiation were higher in patients with ALHF or vasoplegia;in these patients a higher rate of invasive fungal infections (10/14, 71% vs. 4/14, 29%;p=0.023) compared to the other patients was found. Conclusion(s): Survival on VA-ECMO in COVID-19 depends on VA-ECMO indication, which should be considered in further studies and clinical decisions making. Circulatory failure due to vasoplegia should be considered very carefully as indication for VA-ECMO. A high rate of mycotic infections mandates an intense microbiological workup of these patients and must be considered as an important differential diagnosis to CovHI.
ABSTRACT
Objectives: Treatment of severe respiratory distress syndrome (ARDS) due to COVID-19 by veno-venous extracorporeal membrane oxygenation (VV-ECMO) had a mortality of up to 70% in Germany. Many patients with COVID-19 need VV-ECMO support longer than 28 days (long-term VV-ECMO). Evidence on mortality, complications during intensive care, functional status after discharge and mortality-predictors for patients supported with long-term VV-ECMO is lacking. Method(s): Retrospective study of 137 consecutive patients treated with VV-ECMO for ARDS due to COVID-19 at University Hospital Regensburg from March 2020 to March 2022. Result(s): 38% (n=52;87% male) of patients needed longterm VV-ECMO support. In these, SOFA score (median [IQR]) at ECMO initiation was 9 [8-11], age 58.2 [50.6- 62.5] years, PaO2/FiO2-ratio 67 [52-88] mmHg, pCO262 [52-74] mmHg, Murray-Score 3.3 [3.0-3.6] and PEEP 15 [13 - 16] cmH2O. Duration of long-term support was 45 [35-65] days. 26 (50%) patients were discharged from the ICU. Only one patient died after hospital discharge. At VVECMO initiation, baseline characteristics did not differ between deceased and survivors. Complications were frequent (acute kidney injury: 31/52, renal replacement therapy: 14/52, pulmonary embolism: 21/52, intracranial hemorrhage 8/52, major bleeding 34/52 and secondary sclerosing cholangitis: 5/52) and more frequent in the deceased. Karnofsky index (normal 100) after rehabilitation was 70 [57.5-82.5]. Twelve of the 18 patients discharged from rehabilitation had a satisfactory quality of life according to their own subjective assessment. Four patients required nursing support. Mortality-predictors within the first 30 days on VV-ECMO only observed in those who deceased later, were: Bilirubin >5mg/dl for > 7 days, pulmonary compliance <10ml/mbar for >14 days, and repeated serum concentrations of interleukin 8 >150ng/L. Conclusion(s): Long-term extracorporeal lung support in patients with COVID-19 resulted in 50 % survival and subsequently lead to a satisfactory quality of life and functionality in the majority of patients. It should preferably be performed in experienced centers because of a high incidence of complications. Several findings during the early course were associated with late mortality but need validation in large prospective studies.
ABSTRACT
Objectives: In COVID-19 associated acute respiratory distress syndrome (ARDS) requiring VV-ECMO, ventilator-associated-pneumonia (VAP), pulmonary aspergillosis and viral reactivations are observed frequently, but there is only little knowledge on incidence, onset and causative pathogens. This study analyzes frequency of VAP, pulmonary aspergillus infections, and viral reactivations in a large cohort of patients with ARDS treated with VV-ECMO due to either COVID-19 or Influenza. Method(s): Retrospective analysis of all consecutively patients at the University Hospital Regensburg requiring VVECMO due to COVID-19 (March 2020 and May 2022) or Influenza (May 2012 and December 2022). VAP was diagnosed according to current guidelines. Pulmonary Aspergillosis met criteria of probable COVID-associated Aspergillosis according to current guidelines. Result(s): 147 patients (age (median [IQR]) 55.3 [48.7 - 61.7], SOFA at VV-ECMO initiation 9 [8 - 12], 23 [14 - 38] days on VV-ECMO) suffering from COVID-19 and 72 influenza patients (age 55.3 [46 - 61.3], SOFA at VV-ECMO initiation 13 [10 - 15], 16 [10 - 23] days on VV-ECMO) were included in the analysis. Pulmonary superinfections were more frequent in COVID-19 than in influenza (VAP: 61% vs. 39%, pulmonary Aspergillosis: 33% vs. 22%, CMV reactivation: 19% vs. 4%, HSV reactivation: 49% vs. 26%.) The first episode of VAP in COVID-19 and Influenza was detected 2 days [1 - 15] after and 1 day (-3 - 22) before ECMO initiation, respectively. First VAP-episode in COVID-19 were mainly caused by Klebsiella spp. (29%,), Staphylococcus aureus (27%) and E. coli (11%). Further VAP-episodes (30% in COVID-19) and relapses of VAP were mainly caused by Klebsiella spp. (53%, 64%, respectively). In Influenza, VAP was mainly caused by Staphylococcus aureus (28%) and Streptococcus pneumoniae(28%), further VAP episodes were not observed. Conclusion(s): Superinfections were common in patients treated with VV-ECMO and occur more frequently in COVID-19 ARDS compared to Influenza. VAP occurs early and may significantly contribute to the need of VV-ECMO. Therefore, a meticulous routine microbiologic workup is advisable. The observed differences in the spectrum of secondary infectious agents in COVID19 compared to Influenza are not understood yet.
ABSTRACT
OBJECTIVE: To investigate the expressions of peripheral blood microRNA-21(miR-21) and transforming growth factor-beta(TNF-beta)/Smad signaling transduction pathway in patients with bronchial asthma complicated with respiratory virus infection. METHODS: Totally 109 patients with asthma complicated with respiratory virus infection(study group) and 104 patients without virus infection(control group) in the Third People's Hospital of Gansu Province between Feb.2019 and Feb.2021 were selected for the cross-sectional study. The basic data of the two groups were collected, and parameters including vital signs, lung function, peripheral blood miR-21 and TGF-beta/Smad signaling pathway proteins were measured. According to the guidelines, the patients of the two groups were divided into acute exacerbation phase and stable phase. The examination results of each group were compared and the levels of peripheral blood miR-21 and TGF-beta/Smad signaling pathway proteins expression of patients with asthma complicated with respiratory virus infection were analyzed. RESULTS: In study group, the proportion of respiratory virus infection among 109 patients was 33.94% for influenza virus, 23.85% for human rhinovirus, 19.27% for respiratory syncytial virus, 10.09% for parainfluenza virus, 6.42% for adenovirus, 4.59% for human coronavirus and 1.83% for human metapneumovirus respectively. The proportion of patients with acute exacerbation phase in the study group was higher than that in the control group, and the levels of peripheral blood miR-21, TGF-beta1, Smad7, pSmad2 and pSmad3 were higher than those in control group(P<0.05). The levels of miR-21, TGF-beta1, Smad2, Smad3, Smad7, pSmad2 and pSmad3 in peripheral blood of patients with acute exacerbation phase of asthma were higher than those of patients with stable phase of asthma(P<0.05). There were no statistical differences in peripheral blood miR-21, TGF-beta1, Smad2, Smad3, Smad7, pSmad2 and pSmad3 levels in asthma patients with different virus infections. CONCLUSION: Early respiratory virus infections might lead to increased expression of peripheral blood miR-21 and increased activation of TGF-beta/Smad signaling pathway in patients with asthma, which played an important role in acute attack of asthma.
ABSTRACT
Dayuanyin (DYY) has been shown to reduce lung inflammation in both coronavirus disease 2019 (COVID-19) and lung injury. This experiment was designed to investigate the efficacy and mechanism of action of DYY against hypoxic pulmonary hypertension (HPH) and to evaluate the effect of DYY on the protection of lung function. Animal welfare and experimental procedures are approved and in accordance with the provision of the Animal Ethics Committee of the Institute of Materia Medica, Chinese Academy of Medical Science. Male C57/BL6J mice were randomly divided into 4 groups: control group, model group, DYY group (800 mg.kg-1), and positive control sildenafil group (100 mg.kg-1). The animals were given control solvents or drugs by gavage three days in advance. On day 4, the animals in the model group, DYY group and sildenafil group were kept in a hypoxic chamber containing 10% +/- 0.5% oxygen, and the animals in the control group were kept in a normal environment, and the control solvent or drugs continued to be given continuously for 14 days. The right ventricular systolic pressure, right ventricular hypertrophy index, organ indices and other metrics were measured in the experimental endpoints. Meantime, the expression levels of the inflammatory factors in mice lung tissues were measured. The potential therapeutic targets of DYY on pulmonary hypertension were predicted using network pharmacology, the expression of nuclear factor kappa B (NF- kappaB) signaling pathway-related proteins were measured by Western blot assay. It was found that DYY significantly reduced the right ventricular systolic pressure, attenuated lung injury and decreased the expression of inflammatory factors in mice. It can also inhibit hypoxia-induced activation of NF- kappaB signaling pathway. DYY has a protective effect on lung function, as demonstrated by DYY has good efficacy in HPH, and preventive administration can slow down the disease progression, and its mechanism may be related to inhibit the activation of NF-kappaB and signal transducer and activator of transcription 3 (STAT3) by DYY.Copyright © 2023, Chinese Pharmaceutical Association. All rights reserved.
ABSTRACT
Objectives: COVID-19 infected over 150 million people and caused over 1 million deaths in the US. This study evaluates several variables thought to be associated with mortality risk in the COVID-19 population. Method(s): The IQVIA longitudinal medical and pharmacy claims databases identified 17,682,111 patients with a COVID-19 diagnosis between 4/1/2020-4/30/2022 from a population of >277 million patients in the US. Patients were linked to Veritas Data Research fact-of-death records (90% complete compared to CDC reporting) and confirmed deaths were flagged. Confirmed mortality rates (CMR) were evaluated by age group, socioeconomic status (SES) using the Area Deprivation Index (v2.0, University of Wisconsin, 2015), co-morbidities and COVID-specific (approved and unapproved) treatments. Result(s): Of the 563,744 patients (3.2%) identified as dead (3.67% in men, 2.85% in women overall), CMR was lowest in patients aged 0-17 (0.08%), highest in age 65-75 (5.92%) and >75 (16.40%). Patients in the lowest 40% of SES had CMR of 4.43% while in the highest 20% was 1.56%. Respiratory failure, pneumonia and sepsis were the most common acute diagnoses accompanying COVID-19 deaths in all SES. In patients with comorbid dementia or Alzheimer's disease, CMR were 21.62% and 23.40% respectively. Additionally, congestive heart failure (15.79%), atrial fibrillation (15.50%), chronic kidney disease (15.30%) and COPD (12.19%) were associated with high CMR. Among patients receiving approved therapies, casirivimab/imdevimab and remdesivir had CMR of 1.41% and 12.63% respectively, while for those receiving unapproved therapies, ivermectin and hydroxychloroquine had CMR of 2.54% and 2.45%. Conclusion(s): Compared to the 1.1% case-mortality rate (Johns Hopkins 2023) among US COVID-19 patients, we found CMR exceeded 3% among those with a medical claim for COVID-19. Advanced age, dementia, and cardio-renal disease were associated with mortality. Patients with the lowest SES had approximately 3 times the confirmed mortality rate compared to those in the highest SES group.Copyright © 2023