83 results match your criteria: "the People' s Hospital of Yubei District of Chongqing[Affiliation]"

Association between balance impairment and incidence of motoric cognitive risk syndrome in the China Health and Retirement Longitudinal Study.

J Nutr Health Aging

January 2025

The Center of Gerontology and Geriatrics and National Clinical Research Center of Geriatrics, West China Hospital, Sichuan University, China. Electronic address:

Objectives: Motor cognitive risk (MCR) syndrome, defined as the cooccurrence of subjective cognitive complaints and a slow gait speed, is a form of pre-dementia condition. Balance has previously been associated with cognitive function. However, to date, no study has examined the relationship between balance and MCR in a large cohort of older adults.

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Objective: To establish and validate a model based on hyperdense middle cerebral artery sign (HMCAS) radiomics features for predicting hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) after endovascular treatment (EVT).

Methods: Patients with AIS who presented with HMCAS on non-contrast computed tomography (NCCT) at admission and underwent EVT at three comprehensive hospitals between June 2020 and January 2024 were recruited for this retrospective study. A radiomics model was constructed using the HMCAS radiomics features most strongly associated with HT.

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Background: Salivary compounds can be used as diagnostic markers for changes in the oral cavity that cause oral problems in type 2 diabetes mellitus (T2DM).

Methods: This meta-analysis searched PubMed/Medline, EMBASE, Scopus and Cochrane Library, and the Web of Science until Nov 2023. The observational studies included patients with T2DM and healthy controls aged > 18 yr with no oral health problems or systematic or periodontal diseases.

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[Clinical significance of antiphospholipid antibodies in Behcet disease with thrombosis].

Beijing Da Xue Xue Bao Yi Xue Ban

December 2024

Department of Rheumatology and Immunology, Peking University People' s Hospital, Beijing 100044, China.

Objective: To investigate the distribution and clinical significance of antiphospholipid antibody (aPL) in patients with Behcet disease (BD).

Methods: A total of 222 BD patients admitted to the Department of Rheumatology and Immunology in Peking University People' s Hospital from February 2008 to July 2024 were selected retrospectively. General data of the patients including age and gender were collec-ted.

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Article Synopsis
  • The study aimed to measure serum levels of CXCL-10 and KL-6 in rheumatoid arthritis patients with interstitial lung disease (RA-ILD) to understand their correlation and significance.
  • 169 RA patients were divided into RA-ILD and RA-non-ILD groups based on high-resolution CT scans, with 80 patients in each group selected for comparison after matching.
  • Results showed higher levels of CXCL-10 and KL-6 in the RA-ILD group compared to the RA-non-ILD group, with significant correlations between these biomarkers and clinical parameters such as lung function and rheumatoid factor.
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Objective: To analyse the effects of titanium implants coated with various antimicrobial peptide (AMP) layers on bacterial growth and early biofilm formation around the implants.

Methods: A novel AMP mixture was constructed using Type I collagen, sulfonated succinimide 4- (N-Maleimidylphenyl) butyrate, and AMPs. Titanium discs treated with chitosan and hyaluronic acid solutions were reacted with the AMP mixture to obtain AMP-coated titanium discs.

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EMR-LIP: A lightweight framework for standardizing the preprocessing of longitudinal irregular data in electronic medical records.

Comput Methods Programs Biomed

February 2025

Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, 77030, USA. Electronic address:

Article Synopsis
  • The study introduces the EMR-LIP framework, designed to standardize and optimize the preprocessing of complex Electronic Medical Records (EMRs) data for better clinical predictive modeling.
  • EMR-LIP allows for a more detailed categorization of variables and tailor-made preprocessing techniques, demonstrating its effectiveness through analysis of two public EMR databases, MIMIC-IV and eICU-CRD.
  • The results indicated that models using EMR-LIP preprocessing improved overall performance, achieving high accuracy rates in predicting in-hospital deaths and ensuring fairness across different ethnic groups.
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Objective: To identify risk factors for postoperative recurrence in patients with eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) and develop a nomogram prediction model for identifying patients at high risk of recurrence.

Methods: A cohort study involving 200 ECRSwNP patients analyzed clinical data for recurrence predictors using univariate and multivariate logistic regression analyses. A nomogram model was developed and validated using Receiver Operating Characteristic (ROC) curves.

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Problem: Investigating the impact of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection on female fertility and laboratory outcomes in patients undergoing assisted reproductive technology (ART) treatment who were initially uninfected but later became infected.

Methods Of The Study: This self-controlled study included 197 patients who underwent repeated oocyte retrieval before and after SARS-CoV-2 infection between March 2021 and April 2023, of which 117 used the same ovarian stimulation protocol within a consistent age range. We evaluated the ovarian reserve, ovarian response, and laboratory outcomes in patients before and after SARS-CoV-2 infection.

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Background: Numerous compelling observational studies have demonstrated a plausible correlation between the white blood cell count and the susceptibility to sudden sensorineural hearing loss (SSNHL). Nevertheless, the exact causal relationship between these two factors remains ambiguous. The objective of our study was to assess the causal impact of white blood cell count on sudden sensorineural hearing loss through the implementation of a bidirectional and multivariable Mendelian randomization (MR) methodology.

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A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans.

J Cancer Res Clin Oncol

October 2024

West China Biomedical Big Data Center, Med-X Center for Informatics, West China Hospital, Sichuan University, Chengdu, 610044, China.

Background: Liver cancer is a significant cause of cancer-related mortality worldwide and requires tailored treatment strategies for different types. However, preoperative accurate diagnosis of the type presents a challenge. This study aims to develop an automatic diagnostic model based on multi-phase contrast-enhanced CT (CECT) images to distinguish between hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and normal individuals.

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Background: Previous studies comparing the efficacy and safety of different treatment regimens for lupus nephritis are scarce. Moreover, confounding factors such as the duration of follow-up were hardly adjusted in those studies, potentially compromising the results and their extents to clinical settings.

Objective: To rigorously investigate the efficacy and safety of biologics in patients with lupus nephritis using Bayesian network meta-regression analyses that adjust for the follow-up period, in order to provide more robust evidence for clinicians.

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Article Synopsis
  • The study investigates the unique lifestyle and cultural elements in China that influence oral frailty risk factors among older adults, especially in northeastern minority groups.
  • A sample of 478 older adults in Yanji City was surveyed, showing a high prevalence of 71.6% for oral frailty, influenced by various factors like age, ethnicity, and health conditions.
  • The research highlights the need for targeted interventions to address oral health issues in older adults who are at high risk for oral frailty.
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Purpose: The aim of this study was to explore the potential correlation between the nuclear receptor subfamily 3 group C member 2 (NR3C2) and outcomes of colon cancer, along with the mechanisms underlying this association.

Method: mRNA (messenger RNA) data and clinical records pertaining to colon cancer were retrieved from The Cancer Genome Atlas (TCGA) database. The analysis of NR3C2 expression discrepancies between normal colon and tumor tissues was conducted using R software.

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Article Synopsis
  • - The study investigates the relationship between the Chinese visceral adiposity index (CVAI) and the production of neutralizing antibodies (NAb) after vaccination against SARS-CoV-2, highlighting the importance of understanding how visceral fat affects vaccine efficacy.
  • - Health workers who were part of the study showed a median NAb titer of 12.94 AU/mL post-vaccination, with those in the CVAI dysfunction group having significantly lower NAb levels and higher inflammation markers compared to the reference group.
  • - The findings suggest that high CVAI could hinder NAb production through immune dysfunction and chronic inflammation, emphasizing the need for targeted vaccination strategies for individuals with high visceral adiposity to enhance overall vaccination effectiveness against COVID-
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Background: Skin cancer, a prevalent form of cancer that is on the rise worldwide, requires proactive prevention strategies to reduce the burden of screening, treatment, and mortality. The KEGG research highlighted the significant involvement of red module genes in protein digestion and absorption. These findings provide valuable insights into the underlying molecular mechanisms associated with skin cancer susceptibility, offering potential targets for further research and development of preventive strategies.

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Background: The optimal primary debulking surgery outcome of serous ovarian carcinoma (SOC) is greatly affected by primary ovarian neoplasm or metastatic lesion close to the rectum.

Purpose: To study the risk factors affecting postoperative residual primary ovarian neoplasm or metastatic lesion close to the rectum of SOC.

Material And Methods: The clinical and MRI data of 164 patients with SOC eligible from institution A (training and test groups) and 36 patients with SOC eligible from institution B (external validation group) were collected and retrospectively analyzed.

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Article Synopsis
  • Antiphospholipid syndrome (APS) is an autoimmune disease that primarily affects younger individuals, but diagnosing it in older patients (60+) can be challenging due to similarities with other thrombosis disorders.
  • This study analyzed 161 APS patients, finding that those with elderly-onset APS had higher instances of stroke at diagnosis and more cardiovascular risk factors compared to younger patients.
  • Results indicated that elderly-onset APS patients experienced significantly higher rates of mortality over 10 years, highlighting the importance of early recognition and management of their health conditions to improve outcomes.
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Background: Exercise intensity is a key component of an exercise prescription. This meta-analysis aimed to investigate the treatment effect of different exercise doses on fibromyalgia syndrome.

Methods: PubMed, Embase, Web of Science, and the Cochrane Library were searched from their inception until 29 December 2023.

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Purpose: To develop and validate a model for predicting suboptimal debulking surgery (SDS) of serous ovarian carcinoma (SOC) using radiomics method, clinical and MRI features.

Methods: 228 patients eligible from institution A (randomly divided into the training and internal validation cohorts) and 45 patients from institution B (external validation cohort) were collected and retrospectively analyzed. All patients underwent abdominal pelvic enhanced MRI scan, including T2-weighted imaging fat-suppressed fast spin-echo (T2FSE), T1-weighted dual-echo magnetic resonance imaging (T1DEI), diffusion weighted imaging (DWI), and T1 with contrast enhancement (T1CE).

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Objective: The aim of this study was to develop a predictive model for uncorrected/actual fluid intelligence scores in 9-10 year old children using magnetic resonance T1-weighted imaging. Explore the predictive performance of an autoencoder model based on reconstruction regularization for fluid intelligence in adolescents.

Methods: We collected actual fluid intelligence scores and T1-weighted MRIs of 11,534 adolescents who completed baseline tasks from ABCD Data Release 3.

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Factors influencing diffusion tensor imaging of knee cartilage in children ages 6-12 years: a prospective study.

Pediatr Radiol

July 2024

Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China.

Article Synopsis
  • Magnetic resonance diffusion tensor imaging (DTI) is being used to study knee cartilage development in children, but the factors affecting its results need further investigation.
  • This study aims to analyze how diffusion gradient strength (b value), diffusion gradient direction, age, and sex influence DTI outcomes in healthy children aged 6-12 years.
  • Results show that both b value and diffusion gradient direction negatively affect fractional anisotropy (FA) while FA increases with age, indicating significant influences on DTI parameters.
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