Publications by authors named "Christina J Raichle"

Article Synopsis
  • - The study investigated the effectiveness of body composition analysis (BCA) using bioelectrical impedance vector analysis (BIVA) to monitor hydration levels in patients with acute heart failure (AHF) during diuretic treatment.
  • - A total of 867 BCA and BIVA assessments were made on 142 patients, showing significant correlations between changes in total body water (TBW) and body weight, indicating BCA's reliability in tracking hydration status.
  • - The findings suggest that BIVA, particularly regarding extracellular water (ECW), could be a valuable tool for personalized monitoring of hydration in patients receiving aggressive diuretic therapy.
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Background: The possibility to use built-in smartphone-cameras for photoplethysmographic (PPG) recording of pulse waves lead to the release of numerous health apps, claiming to measure blood pressure (BP) based on PPG signals. Even though these apps are highly popular, not a single one is clinically validated. Aim of the current study was to test systolic BP (sBP) estimation by a promising new algorithm in a large clinical setting.

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Objectives: The WATCH AF (SmartWATCHes for Detection of Atrial Fibrillation) trial compared the diagnostic accuracy to detect atrial fibrillation (AF) by a smartwatch-based algorithm using photoplethysmographic (PPG) signals with cardiologists' diagnosis by electrocardiography (ECG).

Background: Timely detection of AF is crucial for stroke prevention.

Methods: In this prospective, 2-center, case-control trial, a PPG pulse wave recording using a commercially available smartwatch was obtained along with Internet-enabled mobile ECG in 672 hospitalized subjects.

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Aims: Early detection of atrial fibrillation (AF) is essential for stroke prevention. Emerging technologies such as smartphone cameras using photoplethysmography (PPG) and mobile, internet-enabled electrocardiography (iECG) are effective for AF screening. This study compared a PPG-based algorithm against a cardiologist's iECG diagnosis to distinguish between AF and sinus rhythm (SR).

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Unlabelled: Hypertensive disorders are one of the leading causes of maternal death worldwide. Several smartphone apps claim to measure blood pressure (BP) using photoplethysmographic signals recorded by smartphone cameras. However, no single app has been validated for this use to date.

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