Data mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial: ‘exposing the invisible’

Okutucu, Sercan; Katircioglu-Öztürk, Deniz; Oto, Emre; Güvenir, H. Altay; Karaağaoğlu, Ergün; Oto, Ali̇; Meinertz, Thomas; Goette, Andreas

doi:10.1093/europace/euw084

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…In addition, BUN and Cr levels were higher in the PoAF (+) group (P = .007 and P = .043, respectively). Renal insufficiency (RI) paves the way for many other diseases that can threaten the patient's life, although studies also have shown that RI alone may result in the development of AF [Okutucu 2017]. This can be attributed to the electrolyte imbalance that occurs in RI, acid-base disturbances, hypertension, and left atrial and left ventricular dilation occurring in time in patients with RI [Allison 2013].…”

Section: Discussionmentioning

confidence: 99%

Investigation of the Effect of Preoperative Hypoalbuminemia, Blood Urea Nitrogen and Creatinine Levels on Postoperative Atrial Fibrillation on Off-Pump Coronary Bypass Surgery Patients

Akgül¹,

Parlar²,

Erkul³

et al. 2020

HSF

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Background: Postoperative atrial fibrillation (PoAF) is one of the most common complications to occur after open heart surgery. It has been shown that hypoalbuminemia accompanies some cardiovascular disorders. The present study evaluates the effects of pre-procedural albumin, blood urea nitrogen (BUN), and creatinine levels on PoAF. Methods: The data of 81 patients who underwent off-pump coronary artery bypass graft (CABG) surgery was evaluated. Patients who developed atrial fibrillation (AF) in the first 48 hours post surgery constituted the PoAF (+) group, while those without AF constituted the PoAF (-) group. The pre-procedural hematological parameters of patients in both groups were included in the analysis. Results: The PoAF (+) group was comprised of 57 patients (70.3%) with a mean age of 65.5 ± 9.8 years, while the PoAF (-) group was comprised of 24 patients (29.7%) with a mean age of 60.6 ± 9.6 years. A comparison of the demographic characteristics of the two groups showed that age (P = .036), frequency of renal failure (P = .007), and frequency of DM (P = .001) were higher in the PoAF (+) group. An examination of the laboratory data revealed a negative correlation between Hct (P = .001) and albumin (P = .000) levels and presence of PoAF. Also, the MPV (P = .02), BUN (P = .007), and Cr (P = .043) values were higher in the PoAF (+) group. Conclusion: The present study, whose focus was on the effects of albumin levels on the occurrence of PoAF, found that low levels of pre-procedural albumin, as one of the major proteins in the blood, is a risk factor for the development of PoAF.

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Section: Discussionmentioning

confidence: 99%

Investigation of the Effect of Preoperative Hypoalbuminemia, Blood Urea Nitrogen and Creatinine Levels on Postoperative Atrial Fibrillation on Off-Pump Coronary Bypass Surgery Patients

Akgül¹,

Parlar²,

Erkul³

et al. 2020

HSF

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“…Valid arguments were theoretically and empirically supplied as to why AUC should be preferred over accuracy, which is merely a ratio of correctly predicted results to the total number of instances examined. 19,20 A higher value of AUC for a parameter is an indication of its higher relevance in determining the class label. Since RIMARC algorithm aims to maximize the AUC value directly, it outperforms the other data mining algorithms on average, with a statistically significant difference.…”

Section: Discussionmentioning

confidence: 99%

Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data set

et al. 2016

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“… 133 AI has been applied to electronic health records to reduce spurious AF alerts, using natural language processing and CHA2DS2-VASc elements, providing 98% accuracy and reducing workload by 84%. 134 AI of clinical data predicted sinus rhythm after electrical cardioversion of AF, 135 and after guideline-directed medical therapy 136 in secondary analyses of the Flec-SL-AFNET 3 and ANTIPAF-AFNET 2 trials, respectively. Neural network classifiers can predict recurrent syncope from patients in the emergency room using the history and ECG with accuracies from 67 to 95%.…”

Section: Artificial Intelligencementioning

confidence: 99%

The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

Svennberg,

Caiani,

Bruining

et al. 2023

Europace

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Aims Over the past 25 years there has been a substantial development in the field of digital electrophysiology (EP) and in parallel a substantial increase in publications on digital cardiology. In this celebratory paper, we provide an overview of the digital field by highlighting publications from the field focusing on the EP Europace journal. Results In this journey across the past quarter of a century we follow the development of digital tools commonly used in the clinic spanning from the initiation of digital clinics through the early days of telemonitoring, to wearables, mobile applications, and the use of fully virtual clinics. We then provide a chronicle of the field of artificial intelligence, a regulatory perspective, and at the end of our journey provide a future outlook for digital EP. Conclusion Over the past 25 years Europace has published a substantial number of papers on digital EP, with a marked expansion in digital publications in recent years.

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Data mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial: ‘exposing the invisible’

Cited by 3 publications

References 22 publications

Investigation of the Effect of Preoperative Hypoalbuminemia, Blood Urea Nitrogen and Creatinine Levels on Postoperative Atrial Fibrillation on Off-Pump Coronary Bypass Surgery Patients

Investigation of the Effect of Preoperative Hypoalbuminemia, Blood Urea Nitrogen and Creatinine Levels on Postoperative Atrial Fibrillation on Off-Pump Coronary Bypass Surgery Patients

Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data set

The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

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