11 results match your criteria: "Majiapu Community Health Service Center[Affiliation]"

Application of Machine Learning in the Diagnosis of Early Gastric Cancer Using the Kyoto Classification Score and Clinical Features Collected from Medical Consultations.

Bioengineering (Basel)

September 2024

Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.

The early detection accuracy of early gastric cancer (EGC) determines the choice of the optimal treatment strategy and the related medical expenses. We aimed to develop a simple, affordable, and time-saving diagnostic model using six machine learning (ML) algorithms for the diagnosis of EGC. It is based on the endoscopy-based Kyoto classification score obtained after the completion of endoscopy and other clinical features obtained after medical consultation.

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Article Synopsis
  • Recent studies show that fewer than two medications can help reach intensive blood pressure (BP) targets, focusing on a study involving 4,991 individuals from the Majiapu community.
  • The study found that 54% of participants had hypertension, and among those treated, 55.7% achieved BP control, with only 23.15% maintaining levels below 130/80 mm Hg.
  • Key factors affecting BP control included age, sex, obesity, and smoking history, indicating that patients on fewer medications for stricter targets might have a lower risk profile.
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  • - The study investigated the relationship between high-normal serum uric acid (SUA) levels (between 360 and 420 μmol/L) and the occurrence of macrovascular and renal complications in patients with type 2 diabetes mellitus (T2DM) over a 10-year period.
  • - Among 2988 T2DM patients, those with high-normal SUA experienced a higher rate of cardiovascular and peripheral vascular events compared to those with low-normal SUA (below 360 μmol/L), indicating a significant risk correlation.
  • - The findings suggest that a SUA threshold of 360 μmol/L is more effective for predicting the risk of macrovascular events in T2DM patients than the previously used limit of 420 μmol/L.*
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An auxiliary diagnostic tool for common fundus diseases based on fundus color photography and light-weight classification models.

Graefes Arch Clin Exp Ophthalmol

January 2024

Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, No.17. Hougou Alley, Dongcheng District, Beijing, China.

Objective: To evaluate the performance of two lightweight neural network models in the diagnosis of common fundus diseases and make comparison to another two classical models.

Methods: A total of 16,000 color fundus photography were collected, including 2000 each of glaucoma, diabetic retinopathy (DR), high myopia, central retinal vein occlusion (CRVO), age-related macular degeneration (AMD), optic neuropathy, and central serous chorioretinopathy (CSC), in addition to 2000 normal fundus. Fundus photography was obtained from patients or physical examiners who visited the Ophthalmology Department of Beijing Tongren Hospital, Capital Medical University.

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Background: Hemoglobin A1c (HbA1c) variability may be a predictor of diabetic complications, but the predictive values of HbA1c trajectories remain unclear. We aimed to classify long-term HbA1c trajectories and to explore their effects on future clinical outcomes in a 10-year cohort with type 2 diabetes mellitus (T2DM).

Methods: A total of 2,161 participants with T2DM from the Beijing Community Diabetes Study were included.

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Obesity increases the risk of developing cardiovascular disease and other metabolic diseases. We intended to compare three different anthropometric indicators of obesity, in predicting the incidence of cardiovascular events in Chinese type 2 diabetes. Beijing Community Diabetes Study was a prospective multi-center study conducted in Beijing community health centers.

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To investigate the potential benefits of acarbose therapy on cardiovascular events (CVD) in Type 2 diabetes (T2DM) in an urban community over 10-year follow-up. The study population of Beijing Community Diabetes Study (BCDS) were type 2 diabetes (T2DM) living in 21 communities in Beijing. All patients received comprehensive intervention in accordance with the Chinese guidelines for the prevention and treatment of diabetes.

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Article Synopsis
  • The study investigated the link between neck circumference (NC) and cardiovascular disease risks among Chinese patients with type 2 diabetes over an eight-year period.
  • Out of 3,009 diabetic participants, those with NC above specific thresholds (43 cm for men and 39 cm for women) had a significantly higher prevalence of cardiovascular events compared to those with smaller NCs.
  • The analysis concluded that larger neck circumferences may increase the likelihood of cardiovascular events by approximately 2.3 times, highlighting the potential of NC as a risk factor in diabetic patients.
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Background: To examine the association between morbid events and metabolic syndrome (MS) in patients with type 2 diabetes mellitus (T2DM).

Methods: A prospective, longitudinal, multicenter study was conducted at 13 community health centers associated with Beijing Tongren Hospital. From 2008 to 2015, there have been 3,525 T2DM patients being managed based on the Chinese guideline for T2DM.

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Objective: It is well known that diabetic kidney disease is a risk factor for cardiovascular diseases (CVD) in patients with type 2 diabetes mellitus (T2DM). In this study, the effects of urine albumin excretion rate (AER) and estimated glomerular filtration rate (eGFR) on CVD outcomes were analyzed in a population of T2DM.

Methods: The study was carried out using recorded information of a cohort study.

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