Publications by authors named "Hiroki Tateno"

Objectives: We examined shifts in labor productivity and their economic ramifications among adult patients with long COVID in Japan.

Methods: A total of 396 patients were categorized into three groups based on symptom progression: non-long COVID, long COVID recovered, and long COVID persistent. Patient-reported outcomes were assessed at three time intervals: 3, 6, and 12 months after COVID-19 diagnosis.

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Background: No comprehensive analysis of the pulmonary sequelae of coronavirus disease 2019 (COVID-19) in Japan based on respiratory function tests and chest computed tomography (CT) has been reported. We evaluated post-COVID-19 conditions, especially focusing on pulmonary sequelae assessed by pulmonary function tests and chest CT.

Methods: For this prospective cohort study, we enrolled 1069 patients who presented pneumonia at the time of admission in 55 hospitals from February 2020 to September 2021.

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  • - This study investigated how CT scans measuring lung volume can predict serious outcomes in hospitalized COVID-19 patients, using data from 1,200 patients in 4 hospitals and employing AI to assess lung fields.
  • - Results showed that patients with lower predicted total lung volume (TLC) had significantly higher rates of critical complications like bacterial infections and heart failure compared to those with higher volumes (14.2% vs 3.3%).
  • - The study concluded that lower lung volume on CT scans is linked to worse outcomes and slower recovery in COVID-19 patients, highlighting its potential as a prognostic tool in clinical settings.
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  • Low Hounsfield unit values from vertebral bone CT scans indicate low bone mineral density (BMD), which is a risk factor for osteoporosis and potentially affects COVID-19 outcomes.
  • A study examined 1,132 Japanese COVID-19 inpatients to see how low BMD relates to severe clinical outcomes, finding that patients with low BMD experienced more critical outcomes, especially during the first four waves of COVID-19.
  • The research revealed that patients requiring oxygen during hospitalization had a significant decrease in BMD over three months, suggesting that low BMD can help predict severe disease in COVID-19 patients and may worsen over time.
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  • Muscle quantification via chest CT is shown to be a promising prognostic indicator for COVID-19 outcomes, focusing particularly on pectoralis and erector spinae muscles.
  • A study involving 1410 COVID-19 patients revealed that lower muscle density, especially in the erector spinae, correlates with more severe disease and poorer outcomes, regardless of sex.
  • Patients with low CT density in both muscle groups (Group D) faced significantly worse clinical outcomes compared to those with high density (Group A), highlighting the importance of these muscle parameters in assessing prognosis.
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  • * A study involving hospitalized COVID-19 patients revealed asthma, younger age, and female sex as specific risk factors for persistent fatigue over time, with asthma being particularly significant.
  • * The findings suggest that asthma may heighten the risk for long-lasting fatigue after COVID-19, highlighting the need for targeted preventive measures to reduce fatigue and its associated impacts.
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  • Chest CT imaging can calculate areas of epicardial adipose tissue (EAT) and abdominal visceral adipose tissue (Abd-VAT), which are linked to COVID-19 severity; EAT may serve as a better predictor than Abd-VAT due to its role in inflammation.
  • A study aimed to investigate the relationship between various adipose tissue areas and COVID-19 outcomes, particularly focusing on EAT, using a multicenter database of patients and their chest CT images.
  • Analysis of 1077 COVID-19 patients showed that those with higher EAT areas, especially those with known risk factors, had significantly greater severity of the disease, indicating EAT's strong association with COVID-19 outcomes.
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  • This study investigates the use of artificial intelligence (AI) in CT imaging to quantify pneumonia severity in COVID-19 patients and its ability to predict critical outcomes and lung complications.
  • A total of 1,200 hospitalized COVID-19 patients were assessed, revealing that those with a higher percentage of lung lesions experienced significantly worse outcomes, such as the need for intensive oxygen support and higher mortality rates.
  • Follow-up scans showed that patients with more severe pneumonia at admission and other factors like age and sex contributed further to the risk of ongoing lung issues post-discharge.
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  • * Data from 1200 enrolled patients showed a decline in symptoms over time, from 93.9% during hospitalization to 33.0% at 12 months, with those experience long COVID symptoms reporting lower quality of life and higher anxiety and depression.
  • * Identified risk factors for long COVID included being female, middle-aged, requiring oxygen, and being in critical condition during hospitalization, providing valuable insights for future research in Japan.
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  • The study investigates the COVID-19 infection mechanisms by analyzing blood plasma from uninfected individuals and patients with mild and severe cases of SARS-CoV-2.
  • Severe patients displayed elevated levels of pulmonary surfactant, while mild cases showed increased levels of the enzyme CNDP1, suggesting different response mechanisms to the virus.
  • Elevated L-cystine and enzyme activity related to glutathione metabolism were observed in both groups, indicating potential roles for neutrophil extracellular traps (NETs) and CNDP1 in disease severity and immune response management.
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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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  • Researchers conducted a genome-wide association study (GWAS) with 2,393 COVID-19 patients and 3,289 controls in Japan, identifying a specific genetic variant (rs60200309-A) on chromosome 5 linked to severe cases in individuals under 65.
  • The variant is more common in East Asians and associated with reduced expression of the DOCK2 gene, which was found to be lower in severe COVID-19 cases, particularly in non-classical monocytes.
  • Additionally, inhibiting DOCK2 in hamsters worsened pneumonia symptoms, indicating its potential as a biomarker and therapeutic target for severe COVID-19.
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  • The text discusses the significant impact of COVID-19, detailing both immediate deaths and long-term health issues that can affect patients' quality of life and socioeconomic status.
  • It outlines a study involving a nationwide survey of 1,000 COVID-19 patients in Japan to assess health-related quality of life (HRQoL), long-term complications, and risk factors associated with the disease's sequelae.
  • The research aims to provide comprehensive evidence on the multifaceted consequences of COVID-19, approved by an ethics committee, with plans for dissemination through academic channels.
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Pulmonary oxalosis can be fatal, and Aspergillus tubingensis is commonly resistant to azoles in Japan. We report a case of bronchopulmonary oxalosis caused by A. tubingensis in a non-neutropenic patient who was successfully treated with voriconazole monotherapy.

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The clinical features and prognosis of nontuberculous mycobacterial (NTM) pleuritis and pleural effusion combined with NTM lung disease remain unclear. To investigate the clinical features and prognosis of NTM pleuritis. This retrospective observational study included patients with NTM pleuritis from January 2001 to June 2018 across eight hospitals in Japan.

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Smoking is thought to be a risk factor for osteoporosis development; however, the consequences of stopping smoking for bone homeostasis remain unknown. Here we conducted two separate human studies and show that bone mineral density was significantly lower in smokers than in non-smokers. The first was an observational study of pre- and post-menopausal healthy female smokers and non-smokers; the second included 139 current smokers determined to stop smoking.

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Evidence of the long-term efficacy of digital therapies for smoking cessation that include a smartphone application (app) is limited. In this multi-center randomized controlled trial, we tested the efficacy of a novel digital therapy for smoking cessation: the "CureApp Smoking Cessation (CASC)" system, including a CASC smartphone app, a web-based patient management PC software for primary physicians, and a mobile exhaled carbon monoxide (CO) checker. A total of 584 participants with nicotine dependence were recruited from October 2017 to January 2018, and allocated 1:1 to the CASC intervention group or the control group.

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Background: Mobile apps have been considered to provide active and continuous support for smoking cessation. However, it is yet to be known whether a smoking cessation smartphone app improves long-term abstinence rates in nicotine-dependent patients.

Objective: This study aimed to evaluate the long-term abstinence effect of a novel smartphone app, CureApp Smoking Cessation (CASC), in patients with nicotine dependence.

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Background: Smoking cessation treatment programs have been widely available for patients with nicotine dependence. Despite intensive programs, the continuous abstinence rate (CAR) from weeks 9-12 is still about 50%. Recently, a smartphone app emerged as a novel tool for therapeutic interventions, including nicotine dependence.

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Smoking cessation plays a crucial role in reducing preventable morbidity and mortality. However, some smokers find smoking cessation difficult, despite receiving treatment. This includes heavy smokers with chronic obstructive pulmonary disease, smokers with a psychiatric disorder, and female and underage smokers.

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Background: Nivolumab, an immune checkpoint inhibitor, is now a standard treatment for previously treated advanced non-small-cell lung cancer based on the results from phase III clinical trials. We evaluated the real-world efficacy and safety of nivolumab in a nonselected population and identified the clinical characteristics that influence efficacy.

Materials And Methods: A total of 142 patients with advanced non-small-cell lung cancer who were administered nivolumab at Keio University and affiliated hospitals in Japan from January to July 2016 were enrolled.

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Background: Chronic obstructive pulmonary disease (COPD) is characterized by airway inflammation with endothelial dysfunction. Cadherins are adhesion molecules on epithelial (E-) and vascular endothelial (VE-) cells. Soluble (s) cadherin is released from the cell surface by the effects of proteases including matrix metalloproteinases (MMPs).

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. This study aimed to examine whether plasma levels of cathepsin S or its inhibitor, cystatin C, may serve as biomarkers for COPD. .

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