Publications by authors named "Fukuki Saito"

Objectives: There is no clear treatment strategy for persistent COVID-19 infection that enables clinicians to effectively achieve viral clearance, determine the optimal time to discontinue treatment, and prevent virus reactivation. This retrospective, single-centre study aimed to analyse the effectiveness of antiviral therapies in COVID-19 patients with B-cell lymphoma receiving anti-CD20 therapy.

Methods: Conducted at Kansai Medical University Medical Center between January 2022 and October 2024, the study examined the impact of various antiviral regimens and factors on time to viral clearance, defined as SARS-CoV-2 viral load <1 copy/μL by nasopharyngeal swab.

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Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established; however, the complexity of the interactions among factors limits the use of conventional statistical methods. This study aimed to establish a simple and accurate predictive model for COVID-19 severity using an explainable machine learning approach. A total of 3,301 patients ≥ 18 years diagnosed with COVID-19 between February 2020 and October 2022 were included.

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Recent in-vitro and in-vivo studies and analysis of genomic information registered in GISAID have raised concerns about drug resistance mutations such as M49L after treatment with the 3C-like protease inhibitor ensitrelvir. The aim of this study was to identify resistance gene mutations to 3C-like protease inhibitors, including M49L mutations, in Japanese clinical settings. Genomic analysis of samples from our hospital admissions showed M49L mutations associated with ensitrelvir treatment in three cases and M49L mutation unrelated to ensitrelvir treatment in three cases.

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  • - Median arcuate ligament syndrome results in the celiac artery being compressed, leading to reduced blood flow and potential aneurysm formation in the pancreatic area; it was observed in six cases during the COVID-19 pandemic.
  • - Patients experienced abdominal pain 3 to 9 days after COVID-19 onset, although none required oxygen, and diagnoses were confirmed using contrast-enhanced CT scans showing hemorrhage and aneurysms.
  • - While rare, retroperitoneal hemorrhage related to this syndrome may be exacerbated by COVID-19, causing complications like duodenal stenosis and portal vein thrombosis in some patients.
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Background: The Chiari network mostly causes no symptoms but may occasionally be involved in thrombus formation in the right atrium. We present a case of right atrial thrombus discovered in the postoperative course of blunt cardiac rupture.

Case Presentation: A 19-year-old female injured in a motor vehicle accident was transported to the hospital in a state of shock.

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Background: The global impact of the coronavirus disease 2019 (COVID-19) pandemic has resulted in significant morbidity and mortality. Immunocompromised patients, particularly those treated for B-cell lymphoma, have shown an increased risk of persistent infection with SARS-CoV-2 and severe outcomes and mortality. Multi-mutational SARS-CoV-2 variants can arise during the course of such persistent cases of COVID-19.

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Aim: Computed tomography (CT) is useful in trauma care. Severely ill trauma patients may not tolerate whole-body CT even without patient transfer. This study examined clinical flow of severe trauma patients requiring aortic occlusion (AO) such as resuscitative thoracotomy or REBOA in the hybrid emergency room (ER) and investigated patient clinical courses prioritizing CT first versus resuscitation including AO first.

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  • * A study of 1656 Japanese patients identified rapid worsening of CXR findings—as indicated by increased lung infiltrates within 48 hours of hospital admission—as a significant risk factor for severe complications.
  • * Factors contributing to this rapid deterioration include existing health conditions, elevated body temperature, and specific genetic variants, highlighting the importance of early detection and monitoring.
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Background: The efficacy of antiviral drugs that neutralize antibody drugs and fight against SARS-COV-2 is reported to be attenuated by genetic mutations of the virus in vitro. When B-cell immunocompromised patients are infected with SARS-COV-2, the infection can be prolonged, and genetic mutations can occur during the course of treatment. Therefore, for refractory patients with persistent COVID-19 infection, genomic analysis was performed to obtain data on drug resistance mutations as a reference to determine which antiviral drugs and antibody therapies might be effective in their treatment.

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  • The study investigates the relationship between COVID-19 and ABO blood group/genotype in a large Japanese population, including 1,790 patients and 611 healthy controls.
  • Blood group A was found to be more common and blood group O less common among COVID-19 patients, while genotype OO was also less frequent in this group.
  • Blood group AB was identified as a significant risk factor for severe disease, while blood group O appeared to provide some protective effect against infection.
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A novel trauma workflow system called the hybrid emergency room (Hybrid ER) that combines a sliding computed tomography (CT) scanning system with interventional radiology features was first installed in Osaka General Medical Center in 2011. The Hybrid ER enables CT diagnosis and emergency therapeutic interventions without transferring the patient to another examination room. In this article, the history of CT in trauma care, the world's first installation of the Hybrid ER, clinical experiences, and evidence for the Hybrid ER in trauma workflow and nontrauma fields are summarized, and the future and innovation of the Hybrid ER are reviewed.

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  • The study examined the link between complete blood count metrics, especially the neutrophil-to-lymphocyte ratio (NLR), and the outcomes of COVID-19 patients in Japan from February 2020 to November 2021.* -
  • Out of 2425 patients analyzed, 19.5% faced severe complications, and NLR emerged as the best predictor for these outcomes, with a good area under the curve (AUC) of 0.81.* -
  • Combining NLR with patients' oxygen requirements at admission provided an even better prediction (AUC of 0.88) for identifying those at risk of severe disease progression.*
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  • A study analyzed the rates and impact of respiratory bacterial infections in Japanese patients hospitalized with COVID-19, finding that 7.5% of patients experienced such infections.
  • The most common causes of these infections included Staphylococcus aureus, Klebsiella pneumoniae, and Streptococcus pneumoniae, with more severe outcomes linked to hospital-acquired infections and pre-existing health conditions.
  • The research highlights the importance of monitoring and assessing bacterial complications in COVID-19 patients, as these infections can significantly increase mortality rates.
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Background: COVID-19 is widely known to induce a variety of extrapulmonary manifestations. Gastrointestinal symptoms have been identified as the most common extra-pulmonary manifestations of COVID-19, with an incidence reported to range from 3 to 61%. Although previous reports have addressed abdominal complications with COVID-19, these have not been adequately elucidated for the omicron variant.

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  • The study examined the impact of non-respiratory bacterial and fungal infections on hospitalized COVID-19 patients, focusing on the types of infections, their causative organisms, and their effects on mortality rates.
  • Out of 1914 patients, 4.2% developed non-respiratory bacterial infections, predominantly bacteremia, which was linked to a higher risk of death, particularly in patients with certain predisposing factors.
  • The findings highlight the need for effective medical strategies to manage secondary infections in COVID-19 patients, especially those at a greater risk, such as older individuals and those admitted to intensive care.
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Objectives: Smoking and chronic obstructive pulmonary disease (COPD) are risk factors for severe COVID-19. However, limited literature exists on the effect of COPD and smoking on COVID-19 outcomes. This study examined the impact of smoking exposure in pack-years (PY) and COPD on COVID-19 outcomes among smokers in Japan.

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  • The study analyzed 3,261 hospitalized COVID-19 patients in Japan across five waves of the pandemic to understand differences in their characteristics.
  • Patients admitted during the second and fifth waves were younger, while those in the first wave had longer hospital stays and more post-hospitalization complications, including bacterial infections.
  • The fifth wave showed higher disease severity at admission and more patients needing oxygen, whereas the first wave had the highest mechanical ventilation rates and the third wave had the highest mortality.
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Background: Respiratory symptoms are associated with coronavirus disease 2019 (COVID-19) outcomes. However, the impacts of upper and lower respiratory symptoms on COVID-19 outcomes in the same population have not been compared. The objective of this study was to characterize upper and lower respiratory symptoms and compare their impacts on outcomes of hospitalized COVID-19 patients.

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  • The study explored different clinical profiles (or phenotypes) of COVID-19 patients in Japan, focusing on how these profiles could predict disease severity and outcomes.
  • Researchers analyzed data from 1,322 hospitalized patients, categorizing them into four clusters based on factors like age and health conditions.
  • Results showed distinct characteristics in each cluster, with younger and healthier patients having better outcomes, while older and obese patients faced more severe symptoms, highlighting the importance of phenotyping in understanding COVID-19.
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Because prolonged viral replication of SARS-CoV-2 is increasingly being recognized among immunocompromised patients, subacute or chronic COVID-19 pneumonia can cause persistent lung damage and may lead to viral escape phenomena. Highly efficacious antiviral therapies in immunosuppressed hosts with COVID-19 are urgently needed. From February 2022, we introduced novel treatment combining antiviral therapies and neutralizing antibodies with frequent monitoring of spike-specific antibody and RT-PCR cycle threshold (Ct) values as indicators of viral load for immunocompromised patients with persistent COVID-19 infection.

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  • * Researchers analyzed RNA-seq data from 465 blood samples, uncovering 1169 expression quantitative trait loci (eQTLs) and 1549 splice QTLs (sQTLs) linked to COVID-19 severity, including immune-related expressions.
  • * The study highlights the impact of disease severity on gene expression, identifying specific eQTLs that interact with COVID-19 phenotypes, and provides an extensive resource for understanding gene regulation in response to the virus.
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Background: Obesity is reported to be a risk factor for severe disease in patients with coronavirus disease 2019 (COVID-19). However, there are no specific reports on the risk of severe disease according to body mass index (BMI) in Japan. Thus, this study aimed to investigate the effect of obesity stratified by BMI on the severity of COVID-19 in the general Japanese population.

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