2021
DOI: 10.1111/eci.13633
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Predictive model for atrial fibrillation in hypertensive diabetic patients

Abstract: Background: Several scores to identify patients at high risk of suffering atrial fibrillation have been developed. Their applicability in hypertensive diabetic patients, however, remains uncertain. Our aim is to develop and validate a diagnostic predictive model to calculate the risk of developing atrial fibrillation at five years in a hypertensive diabetic population. Methods: The derivation cohort consisted of patients with both hypertension and diabetes attended in any of the 52 primary healthcare centres o… Show more

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Cited by 10 publications
(11 citation statements)
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“…However, the application of a clinical risk model in this group of patients will optimize even more the selection of candidates to screen. Results have been previously published on the possible relationship between the clinical profile and the risk of AF [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, the application of a clinical risk model in this group of patients will optimize even more the selection of candidates to screen. Results have been previously published on the possible relationship between the clinical profile and the risk of AF [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
“…Cardiovascular complications are among the main causes of morbidity and mortality in diabetic hypertension [6]. Strict control of blood glucose and blood pressure has been shown to limit these various complications in diabetic hypertensive patients [8]. The objective of this study was to evaluate the effects of aqueous extract of E. senegalensis on cardiovascular complications in a hypertensive diabetic rat model.…”
Section: Discussionmentioning
confidence: 99%
“…The accumulation of cholesterol in the heart and the atherogenic index expose the heart and aorta to oxidative damage [29][30]. Normalization of blood glucose and blood pressure could be one of the important mechanisms used by E. senegalensis to protect the hypertensive diabetic's heart [8]. Furthermore, the oxidative stress observed in the aorta and heart of hypertensive diabetic rats is due to the direct action of alcohol and sucrose on the production and bioavailability of NO, which is a potent vasodilator, through inhibition of endothelial nitric oxide synthase (eNOS) [31].…”
Section: Discussionmentioning
confidence: 99%
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“…Diagnostic predictive models were developed by several groups with the intent to stratify the risk for AF development in patients affected for example by hypertension, diabetes, or hypertrophic cardiomyopathy [291,292], by obtaining further indications on the association between the most severe forms of the latter and AF. Deep learning was shown in an experimental paced canine model to predict AF progression based on conduction heterogenicity, action potential characteristics, and other rhythm variants possibly associated with other concomitant CVD diseases [293].…”
Section: -Modeling Af Through In Silico Reconstructionmentioning
confidence: 99%