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Condition: Diabetes
Management: Electronic Health Records (EHR)

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Total 67 results found since Jan 2013.

Clinical impact of the infrapatellar location in symptomatic peripheral arterial disease patients
CONCLUSION: Infrapatellar disease was anindependent factor for increased hospitalization of CLTI, major and minor amputations events, compared to suprapatellardisease in symptomatic revascularized PAD patients.PMID:36480817 | DOI:10.24875/ACM.22000161
Source: Archivos de Cardiologia de Mexico - December 8, 2022 Category: Cardiology Authors: Juan G Chiabrando Fernando D Garagoli Maria M Abraham Foscolo Giuliana Corna Maria de Los Milagros Fleitas Juan Valle-Raleigh Horacio A Medina de Chazal Daniel H Berrocal Jose M Rabellino Ignacio M Bluro Source Type: research

Impact of Visit-to-Visit Triglyceride-Glucose Index Variability on the Risk of Cardiovascular Disease in the Elderly
CONCLUSIONS: High variability in TyG was significantly associated with elevated CVD risk in the elderly, independent of average TyG and other risk factors. Close monitoring variability in TyG might be informative to identify old individuals at high risk of CVD.PMID:36159087 | PMC:PMC9507760 | DOI:10.1155/2022/5125884
Source: International Journal of Endocrinology - September 26, 2022 Category: Endocrinology Authors: Fei Chen Ying Pan Ziqing Liu Rong Huang Jing Wang Jian Shao Yaqin Gong Xiyi Sun Xiaobo Jiang Weihao Wang Zhaoqiang Li Shao Zhong Qi Pan Kaixin Zhou Source Type: research

Vitamin D status, genetic factors, and risk of cardiovascular disease among individuals with type 2 diabetes: a prospective study
CONCLUSIONS: Higher serum 25(OH)D concentrations were significantly associated with lower risks of total CVD and IHD among patients with T2D, regardless of genetic susceptibility and genetic variants in VDR. Risk reductions tended to plateau at serum 25(OH)D levels around 50 nmol/L. These findings suggest that maintaining adequate vitamin D status and avoiding deficiency may help to prevent CVD complications among patients with T2D.PMID:35771998 | DOI:10.1093/ajcn/nqac183
Source: The American Journal of Clinical Nutrition - June 30, 2022 Category: Nutrition Authors: Zhenzhen Wan Tingting Geng Rui Li Xue Chen Qi Lu Xiaoyu Lin Liangkai Chen Yanjun Guo Liegang Liu Zhilei Shan An Pan JoAnn E Manson Gang Liu Source Type: research

Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis
Conclusions Models externally validated for prediction of incident AF in community-based EHR demonstrate moderate predictive ability and high risk of bias. Novel methods may provide stronger discriminative performance. Systematic review registration PROSPERO CRD42021245093.
Source: Heart - June 10, 2022 Category: Cardiology Authors: Nadarajah, R., Alsaeed, E., Hurdus, B., Aktaa, S., Hogg, D., Bates, M. G. D., Cowan, C., Wu, J., Gale, C. P. Tags: Open access Arrhythmias and sudden death Source Type: research

Relationship of diabetes, heart failure, and N ‐terminal pro‐B‐type natriuretic peptide with cardiovascular outcomes in patients with atrial fibrillation
ConclusionsDiabetes and HF were independently associated with an increased risk of CV death/HHF in an unselected AF patient population, and NT-proBNP improved risk assessment. These findings suggest that AF patients with diabetes and/or HF should be managed not only for their risk of stroke and systemic embolic events but also for CV death/HHF.
Source: ESC Heart Failure - May 20, 2022 Category: Cardiology Authors: Felix Hofer, Ulrike Pailer, Patrick Sulzgruber, Christian Gerges, Max ‐Paul Winter, Robert P. Giugliano, Michael Gottsauner‐Wolf, Martin Hülsmann, Niema Kazem, Lorenz Koller, Robert Schönbauer, Alexander Niessner, Christian Hengstenberg, Tags: Original Article Source Type: research

GWAS of longitudinal trajectories at biobank scale
Biobanks linked to massive, longitudinal electronic health record (EHR) data make numerous new genetic research questions feasible. One among these is the study of biomarker trajectories. For example, high blood pressure measurements over visits strongly predict stroke onset, and consistently high fasting glucose and Hb1Ac levels define diabetes. Recent research reveals that not only the mean level of biomarker trajectories but also their fluctuations, or within-subject (WS) variability, are risk factors for many diseases.
Source: The American Journal of Human Genetics - February 22, 2022 Category: Genetics & Stem Cells Authors: Seyoon Ko, Christopher A. German, Aubrey Jensen, Judong Shen, Anran Wang, Devan V. Mehrotra, Yan V. Sun, Janet S. Sinsheimer, Hua Zhou, Jin J. Zhou Tags: Article Source Type: research

Noncommunicable disease incidences in 2012-2017, Turkey
ConclusionsRegardless of the difficulties in comparing incidence of NCD with other countries, we think our results show that hypertension, diabetes, stroke and CHD have higher incidence than Western European countries. We also showed that these metrics can be obtained through data linkage of National Health Records for the first time in Turkey.Key messagesThe NCDs needs to be monitored by surveillance using the current data sources for health services.This data can provide very useful information regularly to monitor and control NCDs if necessary actions are taken to adjust data management.
Source: The European Journal of Public Health - October 20, 2021 Category: General Medicine Source Type: research

Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2...
Source: BMJ Open - July 30, 2021 Category: General Medicine Authors: Neves, A. L., Pereira Rodrigues, P., Mulla, A., Glampson, B., Willis, T., Darzi, A., Mayer, E. Tags: Open access, Health informatics Source Type: research