Heart Failure
Conditions
Keywords
heart failure, vocal biomarker
Brief summary
The study aims to evaluate the effect of AI-based discharge training after acute decompensation of heart failure on the patient's quality of life and to examine the relationship between changes in voice and speech characteristics of patients and changes in hospitalization, discharge, and early post-discharge clinical status.
Detailed description
Heart failure (HF) is a progressive disease with a fluctuating course. From time to time, patients' symptoms and signs worsen enough to require hospitalization, and hospitalization occurs with acute decompensated HF. Acute HF decompensations are periods that worsen the prognosis of the patient. On the other hand, patients discharged after an acute decompensation have the highest risk during the first months after discharge. Patients get trained about lifestyle changes and medication management during the discharge period. Recent guidelines suggest that patients in the early post-discharge period be called for virtual/telephone or face-to-face control visits at short intervals(3rd, 7th, 14th, and 28th days ), then at 3-6 monthly intervals according to NYHA class. In traditional cardiovascular practice, patients are called for outpatient control visit in the first month after discharge. However, the processes after the pandemic kept patients away from visiting the hospital at the frequency recommended in the American and European guidelines and caused them to stay at home not even following their routine visit schedules. Moreover, the risks and benefits of virtual visits in terms of patient prognosis are not well established. This study aims to investigate relationships between routinely recorded findings, symptoms, and vocal biomarkers of heart failure patients in the hospitalization and in the post-discharge period and to investigate the effect of post-discharge education on patient-reported outcomes and re-hospitalization.
Interventions
None listed
Sponsors
Dokuz Eylul University
Albert Saglik Hizmetleri ve Ticaret A.S.
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No
Inclusion criteria
* Hospitalisation due to heart failure decompensation * Having a smartphone with internet access * Willingness to participate in the study * NYHA 2-4 symptoms
Exclusion criteria
* Diagnosis of active malignancy * Pregnancy * Vision and hearing problems * Moderate to severe cognitive impairment * Dementia
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Heart failure-related hospitalizations | At baseline, Four weeks after discharge, Three months after discharge | The effect of acquired intermittent digital data including vocal biomarkers along with standardized discharge education on the HF-related hospitalization |
| Change from baseline in health-related quality of life | At baseline, Four weeks after discharge, Three months after discharge | The effect of acquired intermittent digital data including vocal biomarkers along with standardized discharge education on the patient's quality of life. SF-12(Short Form-12) will be used to evaluate the effect |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Patient-reported outcomes | At baseline, Four weeks after discharge, Three months after discharge | Multivariate logistic regression models of digital and vocal properties optimized for sensitivity to predict patient-reported outcomes, including dyspnea level (ranging from 1 to 4), edema(0 to +3) and HF-related hospitalization |
Countries
Turkey (Türkiye)
Outcome results
None listed