Prevalence of atrial fibrillation

Samim, Daryoush; Choffat, Damien; Vollenweider, Péter; Waeber, Gérard; Marques‐Vidal, Pedro; Méan, Marie

doi:10.1007/s00059-021-05090-7

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…The higher number of women than men in our study is somewhat surprising. Most epidemiological studies report a higher prevalence of AF in men [10][11][12][13]. Apparent differences in design from ours (population vs. cohort studies) may explain this finding.…”

Section: Discussioncontrasting

confidence: 63%

Gender-Based Clinical, Therapeutic Strategies and Prognosis Differences in Atrial Fibrillation

Quesada,

Quesada-Ocete,

Quesada-Ocete

et al. 2023

JCDD

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Background: There are limited data on gender-based differences in atrial fibrillation (AF) treatment and prognosis. We aimed to examine gender-related differences in medical attention in an emergency department (ED) and follow-up (FU) among patients diagnosed with an AF episode and to determine whether there are gender-related differences in clinical characteristics, therapeutic strategies, and long-term adverse events in this population. Methods: We performed a retrospective observational study of patients who presented to a tertiary hospital ER for AF from 2010 to 2015, with a minimum FU of one year. Data on medical attention received, mortality, and other adverse outcomes were collected and analyzed. Results: Among the 2013 patients selected, 1232 (60%) were female. Women were less likely than men to be evaluated by a cardiologist during the ED visit (11.5% vs. 16.6%, p = 0.001) and were less likely to be admitted (5.9% vs. 9.5%, p < 0.05). Electrical cardioversion was performed more frequently in men, both during the first episode (3.4% vs. 1.2%, p = 0.001) and during FU (15.9% vs. 10.6%, p < 0.001), despite a lower AF recurrence rate in women (9.9% vs. 18.1%). During FU, women had more hospitalizations for heart failure (26.2% vs. 16.1%, p < 0.001). Conclusions: In patients with AF, although there were no gender differences in mortality, there were significant differences in clinical outcomes, medical attention received, and therapeutic strategies. Women underwent fewer attempts at cardioversion, had a lower probability of being evaluated by cardiologists, and showed a higher probability of hospitalization for heart failure. Being alert to these inequities should facilitate the adoption of measures to correct them.

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Section: Discussioncontrasting

confidence: 63%

Gender-Based Clinical, Therapeutic Strategies and Prognosis Differences in Atrial Fibrillation

Quesada,

Quesada-Ocete,

Quesada-Ocete

et al. 2023

JCDD

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“…Up to 10% of individuals who have reached the age of 65 years are impacted by heart failure [ 50 ]. The patients often seek medical advice due to the early signs of atrial fibrillation arrhythmias, which typically include fatigue and palpitations [ 51 ]. It is of utmost importance to address the potential long-term complications associated with tachycardia, such as cardiomyopathy and stroke, in order to prevent further deterioration of the patient’s condition [ 52 ].…”

Section: Prominent Challenges For Iomt In Cardiovascular Applicationsmentioning

confidence: 99%

An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models

Mishra,

Liberman,

Brahamanpally

2024

Sensors

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The sensors used in the Internet of Medical Things (IoMT) network run on batteries and need to be replaced, replenished or should use energy harvesting for continuous power needs. Additionally, there are mechanisms for better utilization of battery power for network longevity. IoMT networks pose a unique challenge with respect to sensor power replenishment as the sensors could be embedded inside the subject. A possible solution could be to reduce the amount of sensor data transmission and recreate the signal at the receiving end. This article builds upon previous physiological monitoring studies by applying new decision tree-based regression models to calculate the accuracy of reproducing data from two sets of physiological signals transmitted over cellular networks. These regression analyses are then executed over three different iteration varieties to assess the effect that the number of decision trees has on the efficiency of the regression model in question. The results indicate much lower errors as compared to other approaches indicating significant saving on the battery power and improvement in network longevity.

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Prevalence of atrial fibrillation

Cited by 2 publications

References 34 publications

Gender-Based Clinical, Therapeutic Strategies and Prognosis Differences in Atrial Fibrillation

Gender-Based Clinical, Therapeutic Strategies and Prognosis Differences in Atrial Fibrillation

An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models

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