Publications by authors named "Zixi Yi"

Objectives: The impact of rheumatic diseases, long-term medication, and vaccination on COVID-19 severity remain insufficiently understood, hindering effective patient management. This study aims to investigate factors influencing COVID-19 severity in Chinese rheumatic patients and to provide real-world evidence for patient care.

Methods: We conducted a retrospective observational study consisting of two cohorts, followed by a nested case-control analysis.

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Article Synopsis
  • Traditional methods for assessing the status of axillary lymph nodes (ALNs) in breast cancer patients are often inaccurate, leading researchers to explore radiomic and 3D visualization technologies for improved predictions.
  • The study analyzed data from 350 breast cancer patients who underwent CT scans and lymph node surgeries, creating a 3D atlas and using K-means unsupervised learning to develop a predictive model for lymph node metastasis.
  • The model demonstrated a strong predictive capability, with an area under the curve of 0.847 and high classification rates (around 86-87%) for both clinically negative and positive cohorts, confirming its potential as a new assessment method.
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The coronavirus disease 2019 (COVID-19) pandemic has imposed enormous morbidity and mortality burdens. Patients with rheumatic diseases (RDs) are vulnerable to the COVID-19 infection, given their immunocompromised status. Ensuring acceptance of the COVID-19 vaccine is important and has attracted attention by health professionals.

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Background: Cardiac involvement is a major cause of death in SSc, while early detection remains a challenge.

Objectives: The purpose of this study was to investigate the prevalence and clinical implications of cardiac impairment in SSc.

Methods: Ninety-five consecutive SSc patients [55.

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Objectives: Scleroderma renal crisis (SRC) is a life-threatening syndrome. The early identification of patients at risk is essential for timely treatment to improve the outcome. Therefore, it is of great interest to provide a personalised tool to predict risk of SRC in systemic sclerosis (SSc).

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Objectives: The impact of rheumatic diseases on COVID-19 infection remains poorly investigated. Here we performed a systematic review and meta-analysis to evaluate the outcomes of COVID-19 in patients with rheumatic diseases.

Methods: We systematically searched PubMed, Embase, Cochrane Library, Scopus and preprint database up to 29th August 2020, for publications with confirmed COVID-19 infection in patients with rheumatic diseases.

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