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Specialty: Endocrinology
Condition: Heart Disease
Management: Electronic Health Records (EHR)

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Total 4 results found since Jan 2013.

Associations of Serum 25(OH)D with Risk of Recurrent Cardiovascular Events in Individuals with Coronary Heart Disease
This study aimed to investigate the associations of serum 25-hydroxyvitamin D [25(OH)D] concentration and the vitamin D receptor (VDR) polymorphisms with the risk of recurrent cardiovascular events in individuals with established CHD.METHODS: A total of 22,571 participants with CHD were included from the UK Biobank. Recurrent cardiovascular events, including myocardial infarction (MI), heart failure (HF), stroke, and CVD mortality, were identified from electronic health records. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).RESULTS: The median (interquartile ra...
Source: The Journal of Clinical Endocrinology and Metabolism - June 6, 2023 Category: Endocrinology Authors: Xiaoyu Lin Xue Chen Sen Liu Yulei Deng Yuexuan Wang Qi Lu Rui Li Yunjing Ou Qingying Tian Yunfei Liao Guanglin Cui Kun Yang An Pan Gang Liu Source Type: research

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research

Deep learning approach for diabetes prediction using PIMA Indian dataset
ConclusionThe outcome of the study confirms that DL provides the best results with the most promising extracted features. DL achieves the accuracy of 98.07% which can be used for further development of the automatic prognosis tool. The accuracy of the DL approach can further be enhanced by including the omics data for prediction of the onset of the disease.
Source: Journal of Diabetes and Metabolic Disorders - April 13, 2020 Category: Endocrinology Source Type: research

Impact of metformin on cardiovascular disease: a meta-analysis of randomised trials among people with type 2 diabetes
Conclusions/interpretationThere remains uncertainty about whether metformin reduces risk of cardiovascular disease among patients with type 2 diabetes, for whom it is the recommended first-line drug. Although this is mainly due to absence of evidence, it is unlikely that a definitive placebo-controlled cardiovascular endpoint trial among people with diabetes will be forthcoming. Alternative approaches to reduce the uncertainty include the use of electronic health records in long-term pragmatic evaluations, inclusion of metformin in factorial trials, publication of cardiovascular outcome data from adverse event reporting in...
Source: Diabetologia - August 2, 2017 Category: Endocrinology Source Type: research