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| Name | Class |
|---|---|
| Dokuz Eylul University | OTHER |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Active study group | Active study group with self monitoring reminders in 3,7,14,28th days after discharge | ||
| Usual care group | Usual care group with self monitoring recommendations at discharge |
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| Measure | Description | Time Frame |
|---|---|---|
| Heart failure-related hospitalizations | The effect of acquired intermittent digital data including vocal biomarkers along with standardized discharge education on the HF-related hospitalization | At baseline, Four weeks after discharge, Three months after discharge |
| Change from baseline in health-related quality of life | 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 | At baseline, Four weeks after discharge, Three months after discharge |
| Measure | Description | Time Frame |
|---|---|---|
| Patient-reported outcomes | 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 | At baseline, Four weeks after discharge, Three months after discharge |
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Inclusion Criteria:
Exclusion Criteria:
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Hospitalized adult patients admitted to the Cardiology Department due to heart failure decompensation and signed a written consent will be included in the study.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dokuz Eylul University Research and Application Hospital | Izmir | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34447992 | Background | McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, Burri H, Butler J, Celutkiene J, Chioncel O, Cleland JGF, Coats AJS, Crespo-Leiro MG, Farmakis D, Gilard M, Heymans S, Hoes AW, Jaarsma T, Jankowska EA, Lainscak M, Lam CSP, Lyon AR, McMurray JJV, Mebazaa A, Mindham R, Muneretto C, Francesco Piepoli M, Price S, Rosano GMC, Ruschitzka F, Kathrine Skibelund A; ESC Scientific Document Group. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021 Sep 21;42(36):3599-3726. doi: 10.1093/eurheartj/ehab368. No abstract available. | |
| 22951845 |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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| Background |
| Degertekin M, Erol C, Ergene O, Tokgozoglu L, Aksoy M, Erol MK, Eren M, Sahin M, Eroglu E, Mutlu B, Kozan O. [Heart failure prevalence and predictors in Turkey: HAPPY study]. Turk Kardiyol Dern Ars. 2012 Jun;40(4):298-308. doi: 10.5543/tkda.2012.65031. Turkish. |
| 30982817 | Background | Yilmaz MB, Celik A, Cavusoglu Y, Bekar L, Onrat E, Eren M, Kutlu M, Yalta K, Temizhan A, Kilicaslan B, Gungor H, Acikel M, Demir M, Akdemir R, Zoghi M, Tokgozoglu L. [Snapshot evaluation of heart failure in Turkey: Baseline characteristics of SELFIE-TR]. Turk Kardiyol Dern Ars. 2019 Apr;47(3):198-206. doi: 10.5543/tkda.2019.66877. Turkish. |