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1.
J Am Heart Assoc ; 12(19): e030543, 2023 10 03.
Article in English | MEDLINE | ID: mdl-37750558

ABSTRACT

BACKGROUND: Wearable devices may be useful for identification, quantification and characterization, and management of atrial fibrillation (AF). To date, consumer wrist-worn devices for AF detection using photoplethysmography-based algorithms perform only periodic checks when the user is stationary and are US Food and Drug Administration cleared for prediagnostic uses without intended use for clinical decision-making. There is an unmet need for medical-grade diagnostic wrist-worn devices that provide long-term, continuous AF monitoring. METHODS AND RESULTS: We evaluated the performance of a wrist-worn device with lead-I ECG and continuous photoplethysmography (Verily Study Watch) and photoplethysmography-based convolutional neural network for AF detection and burden estimation in a prospective multicenter study that enrolled 117 patients with paroxysmal AF. A 14-day continuous ECG monitor (Zio XT) served as the reference device to evaluate algorithm sensitivity and specificity for detection of AF in 15-minute intervals. A total of 91 857 intervals were contributed by 111 subjects with evaluable reference and test data (18.3 h/d median watch wear time). The watch was 96.1% sensitive (95% CI, 92.7%-98.0%) and 98.1% specific (95% CI, 97.2%-99.1%) for interval-level AF detection. Photoplethysmography-derived AF burden estimation was highly correlated with the reference device burden (R2=0.986) with a mean difference of 0.8% (95% limits of agreement, -6.6% to 8.2%). CONCLUSIONS: Continuous monitoring using a photoplethysmography-based convolutional neural network incorporated in a wrist-worn device has clinical-grade performance for AF detection and burden estimation. These findings suggest that monitoring can be performed with wrist-worn wearables for diagnosis and clinical management of AF. REGISTRATION INFORMATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04546763.


Subject(s)
Atrial Fibrillation , Deep Learning , Humans , Algorithms , Atrial Fibrillation/diagnosis , Electrocardiography , Prospective Studies , Wrist
2.
Intern Med ; 46(14): 1117-22, 2007.
Article in English | MEDLINE | ID: mdl-17634711

ABSTRACT

A 73-year-old woman presented with disturbance of right eyelid opening with ptosis and impairment of right ocular movement, and later was found to have Cushingoid features. Endocrine examinations revealed that plasma ACTH and cortisol levels were elevated, lack of circadian rhythm, resistant to low-doses (0.5, 1, 2 mg) and high-dose (8 mg) dexamethasone, and responsive to CRH and DDAVP. Magnetic resonance imaging (MRI) revealed a large pituitary tumor invading the right cavernous sinus. After two months treated with bromocriptine (5 mg/day), she showed clinical improvement with normalization of plasma ACTH and cortisol levels, and improvement of right eyelid opening and ocular movement. MRI, however, revealed no apparent reduction in the size of pituitary tumor. This is a rare case of bromocriptine-responsive Cushing's disease.


Subject(s)
Bromocriptine/therapeutic use , Hormone Antagonists/therapeutic use , Pituitary ACTH Hypersecretion/drug therapy , Adenoma/complications , Adenoma/diagnosis , Adenoma/surgery , Aged , Female , Humans , Ocular Motility Disorders/drug therapy , Ocular Motility Disorders/etiology , Pituitary ACTH Hypersecretion/etiology , Pituitary Neoplasms/complications , Pituitary Neoplasms/diagnosis , Pituitary Neoplasms/surgery , Remission Induction , Treatment Outcome
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