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1.
Rinsho Ketsueki ; 64(1): 3-8, 2023.
Article in Japanese | MEDLINE | ID: covidwho-2261855

ABSTRACT

When the omicron variant became the most dominant severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) variant causing coronavirus disease 2019 (COVID-19) in Japan, 11 patients with hematological diseases infected with this new variant were treated at our institution. Among them, four of the five patients who had been treated with chemotherapy progressed to moderate-II COVID-19, and two of them died. In contrast, five of the six patients who did not receive the treatment remained at mild to moderate-I stage of COVID-19, except for a single case progressing to moderate-II COVID-19. While all four patients infused with anti-coronavirus monoclonal antibodies within 8 days after the onset survived, the other two patients, being withheld from treatment or treated later, died. In these two cases, anti-SARS-Cov-2 immunoglobulin G antibodies remained at low titers. Although the omicron variant is considered a less harmful SARS-Cov-2 variant, patients with hematological disorders, particularly those who are immunosuppressed caused by chemotherapy, should be continuously cared for as they remain at a higher risk of severe COVID-19 due to insufficient or delayed anti-viral humoral immunity development. Thus, the rapid introduction of antiviral monoclonal antibodies together with anti-viral reagents may rescue these patients.


Subject(s)
COVID-19 , Hematologic Diseases , Humans , COVID-19/complications , SARS-CoV-2 , Hematologic Diseases/complications , Antiviral Agents , Antibodies, Monoclonal , Antibodies, Viral
3.
Jpn J Radiol ; 40(8): 800-813, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1782926

ABSTRACT

PURPOSE: Using CT findings from a prospective, randomized, open-label multicenter trial of favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the utility of machine learning (ML)-based algorithm with that of CT-determined disease severity score and time from disease onset to CT (i.e., time until CT) in this setting. MATERIALS AND METHODS: From March to May 2020, 32 COVID-19 patients underwent initial chest CT before enrollment were evaluated in this study. Eighteen patients were randomized to start favipiravir on day 1 (early treatment group), and 14 patients on day 6 of study participation (late treatment group). In this study, percentages of ground-glass opacity (GGO), reticulation, consolidation, emphysema, honeycomb, and nodular lesion volumes were calculated as quantitative indexes by means of the software, while CT-determined disease severity was also visually scored. Next, univariate and stepwise regression analyses were performed to determine relationships between quantitative indexes and time until CT. Moreover, patient outcomes determined as viral clearance in the first 6 days and duration of fever were compared for those who started therapy within 4, 5, or 6 days as time until CT and those who started later by means of the Kaplan-Meier method followed by Wilcoxon's signed-rank test. RESULTS: % GGO and % consolidation showed significant correlations with time until CT (p < 0.05), and stepwise regression analyses identified both indexes as significant descriptors for time until CT (p < 0.05). When divided all patients between time until CT of 4 days and that of more than 4 days, accuracy of the combined quantitative method (87.5%) was significantly higher than that of the CT disease severity score (62.5%, p = 0.008). CONCLUSION: ML-based CT texture analysis is equally or more useful for predicting time until CT for favipiravir treatment on COVID-19 patients than CT disease severity score.


Subject(s)
COVID-19 , Algorithms , Amides , Artificial Intelligence , COVID-19/diagnostic imaging , Humans , Lung/pathology , Prospective Studies , Pyrazines , SARS-CoV-2 , Tomography, X-Ray Computed/methods
4.
Viruses ; 14(3)2022 03 09.
Article in English | MEDLINE | ID: covidwho-1732253

ABSTRACT

Assays using ELISA measurements on serially diluted serum samples have been heavily used to measure serum reactivity to SARS-CoV-2 antigens and are widely used in virology and elsewhere in biology. We test a method using Bayesian hierarchical modelling to reduce the workload of these assays and measure reactivity of SARS-CoV-2 and HCoV antigens to human serum samples collected before and during the COVID-19 pandemic. Inflection titers for SARS-CoV-2 full-length spike protein (S1S2), spike protein receptor-binding domain (RBD), and nucleoprotein (N) inferred from 3 spread-out dilutions correlated with those inferred from 8 consecutive dilutions with an R2 value of 0.97 or higher. We confirm existing findings showing a small proportion of pre-pandemic human serum samples contain cross-reactive antibodies to SARS-CoV-2 S1S2 and N, and that SARS-CoV-2 infection increases serum reactivity to the beta-HCoVs OC43 and HKU1 S1S2. In serial dilution assays, large savings in resources and/or increases in throughput can be achieved by reducing the number of dilutions measured and using Bayesian hierarchical modelling to infer inflection or endpoint titers. We have released software for conducting these types of analysis.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , Bayes Theorem , COVID-19/diagnosis , Enzyme-Linked Immunosorbent Assay , Humans , Pandemics , Seasons , Workload
5.
Antimicrob Agents Chemother ; 64(12)2020 11 17.
Article in English | MEDLINE | ID: covidwho-939841

ABSTRACT

Favipiravir is an oral broad-spectrum inhibitor of viral RNA-dependent RNA polymerase that is approved for treatment of influenza in Japan. We conducted a prospective, randomized, open-label, multicenter trial of favipiravir for the treatment of COVID-19 at 25 hospitals across Japan. Eligible patients were adolescents and adults admitted with COVID-19 who were asymptomatic or mildly ill and had an Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1. Patients were randomly assigned at a 1:1 ratio to early or late favipiravir therapy (in the latter case, the same regimen starting on day 6 instead of day 1). The primary endpoint was viral clearance by day 6. The secondary endpoint was change in viral load by day 6. Exploratory endpoints included time to defervescence and resolution of symptoms. Eighty-nine patients were enrolled, of whom 69 were virologically evaluable. Viral clearance occurred within 6 days in 66.7% and 56.1% of the early and late treatment groups (adjusted hazard ratio [aHR], 1.42; 95% confidence interval [95% CI], 0.76 to 2.62). Of 30 patients who had a fever (≥37.5°C) on day 1, times to defervescence were 2.1 days and 3.2 days in the early and late treatment groups (aHR, 1.88; 95% CI, 0.81 to 4.35). During therapy, 84.1% developed transient hyperuricemia. Favipiravir did not significantly improve viral clearance as measured by reverse transcription-PCR (RT-PCR) by day 6 but was associated with numerical reduction in time to defervescence. Neither disease progression nor death occurred in any of the patients in either treatment group during the 28-day participation. (This study has been registered with the Japan Registry of Clinical Trials under number jRCTs041190120.).


Subject(s)
Amides/administration & dosage , Antiviral Agents/administration & dosage , COVID-19 Drug Treatment , Pyrazines/administration & dosage , SARS-CoV-2/drug effects , Viral Load/drug effects , Adolescent , Adult , Amides/adverse effects , Antiviral Agents/adverse effects , Asymptomatic Diseases , COVID-19/physiopathology , COVID-19/virology , Female , Hospitalization , Humans , Hyperuricemia/chemically induced , Hyperuricemia/diagnosis , Hyperuricemia/physiopathology , Japan , Male , Middle Aged , Prospective Studies , Pyrazines/adverse effects , Random Allocation , SARS-CoV-2/pathogenicity , Secondary Prevention/organization & administration , Severity of Illness Index , Time-to-Treatment/organization & administration , Treatment Outcome
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