Implementing a Smartphone and Wearable-Based Stress Management Intervention in Women with Coronary artery spasms to Reduce Cardiac Symptoms: A Multicenter, Single-Arm, One-way Crossover Study (Preprint)
Notice bibliographique
Résumé
BACKGROUND: Mental stress is a well-known trigger of cardiac symptoms in patients with coronary artery spasms. Hence, stress management is recommended along with medical therapy. However, specific programs for patients with coronary spasms are lacking. We collaborated with patients to develop a smartphone-based app as a tailored solution. The app provides biofeedback based on heart rate variability-driven stress level estimations. OBJECTIVE: This study aimed to evaluate the effect of a biofeedback-driven smartphone stress management app on cardiac symptoms in women with coronary vasospasms. METHODS: We enrolled 117 women aged 18 to 70 years diagnosed with coronary vasospasms, as confirmed by a gold standard coronary function test. A multicenter, single-sequence, 2-period crossover study was conducted, comprising a 4-week control period followed by a 4-week period using the Wavy intervention app. The intervention comprised breathing-based exercises that were prompted when measured stress levels were too high. The primary outcome was the Seattle Angina Questionnaire Summary Score, and the secondary outcomes included the 36-Item Short Form Health Survey and the Perceived Stress Scale-10 items. Additionally, the user experience and the impact of the breathing exercise on heart rate variability were evaluated. RESULTS: A total of 102 patients completed the study, yet no significant improvements were observed in the Seattle Angina Questionnaire following the intervention period, with the control group scores at 50.4 (SD 15.4) and the intervention group scores at 50.9 (SD 15.0; P=.92). Similarly, no differences were found in the 36-Item Short Form Health Survey and the Perceived Stress Score. However, the 1236 breathing relaxation exercises performed during the study led to a significant improvement in heart rate variability, as indicated by a median root mean square of successive differences increase from 18.59 (IQR 8.38-36.58) milliseconds before the exercises to 34.93 (IQR 24.19-50.64) milliseconds after the exercises (z=-13.72; P<.001). Furthermore, two-thirds of participants (68/102, 66.7%) indicated that they would use a more refined version of the app in the future. CONCLUSIONS: A 4-week intervention using the Wavy app did not significantly alleviate anginal symptoms in female patients with coronary vasospasms. However, the breathing exercises demonstrated a notable improvement in heart rate variability, suggesting a reduction in stress levels. Patient feedback indicated broad support for the app and its wearable-based functionality, emphasizing the need for substantial refinements. Future development should incorporate patient perspectives to optimize the app as a comprehensive lifestyle management tool. TRIAL REGISTRATION: ClinicalTrials.gov NCT06171893; https://classic.clinicaltrials.gov/ct2/show/NCT06171893.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».