Heart Failure Clinical Trial
— VAL-HICOfficial title:
Randomized Controlled Multicenter Trial for the Validation of HumanITcare Platform
HumanITcare has implemented a cloud platform for the telemonitoring of chronic patients through portable medical devices and an alarm-based system that issues health alerts when a patient's biomedical measurement is outside a predefined clinical range. The platform frees doctors and caregivers from reviewing individual patient data for abnormalities, speeding up the decision-making process and reducing hospital visits. With this study we intend to validate the efficacy of the app for patients and digital platform for medical professionals, evaluating the increase in the quality of life of patients and measuring the reduction in the incidence of the main critical events of HF. In addition, the study will validate the new API interoperability standards and platform architecture and will assess the usability of the platform by delivering satisfaction questionnaires to patients and professionals at the end of the study. This study is being carried out within the framework of a European project promoted by the European Innovation Council (EIC).
| Status | Recruiting |
| Enrollment | 250 |
| Est. completion date | August 30, 2024 |
| Est. primary completion date | August 30, 2024 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Inclusion Criteria: - Heart failure (HF) patients with NYHA Functional Class >= II (according to 2021 EU guidelines). - Patients older than 18 years old. - Patients who have suffered an acute decompensation of HF (first and recurrent) in the 30 days prior to enrollment in the study. - NT-pro BNP =300 pg/ml at the moment of hospitalization for patients without ongoing atrial fibrillation/flutter. If ongoing atrial fibrillation/flutter, NT-pro BNP must be =600 pg/mL - Patients must have had an echocardiogram during their HF hospitalization or in the previous 12 months. - Prior to initiating any procedures, the hospital will ensure that the patient obtains an informed consent document, if applicable. - All patients will be eligible regardless of the level of LVEF: HFrEF, HFmrEF, and HFpEF. Exclusion Criteria: - Oncology patients with metastasis or with chemotherapy treatment ongoing - Patients participating in other studies or trials. - Patients not willing to participate. - Patients over 150 kg - Patients who do not use Catalan, Spanish, English, Portuguese, Italian, Dutch, German, Swedish, Hungarian, Romanian or French. - Patients without a mobile phone - Patients without internet connexion - Patients with moderate or severe cognitive impairment without a competent caregiver - Patients with serious psychiatric illness - Patients with planned cardiac surgery - Patients with planned heart transplantation or LVAD implant |
| Country | Name | City | State |
|---|---|---|---|
| Spain | Hospital d'Alcoi | Alcoy | Alicante |
| Spain | Hospital Clínic de Barcelona | Barcelona | |
| Spain | Corporació de Salut del Maresme i la Selva (Hospital de Blanes-Hospital de Calella) | Blanes | Girona |
| Spain | Hospital de Dénia | Denia | Alacant |
| Spain | Hospital de Vinalopó | Elche | Alicante |
| Spain | Hospital General Universitario de Elche | Elche | Alicante |
| Spain | Hospital Universitari Sant Joan de Reus | Reus | Tarragona |
| Spain | Hospital de Terrassa | Terrassa | Barcelona |
| Spain | Hospital de Torrejón | Torrejón De Ardoz | Madrid |
| Spain | Hospital Clínico Lozano Blesa de Zaragoza | Zaragoza |
| Lead Sponsor | Collaborator |
|---|---|
| humanITcare |
Spain,
Authors/Task Force Members:; 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: Developed by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur J Heart Fail. 2022 Jan;24(1):4-131. doi: 10.1002/ejhf.2333. — View Citation
Bilbao A, Escobar A, Garcia-Perez L, Navarro G, Quiros R. The Minnesota living with heart failure questionnaire: comparison of different factor structures. Health Qual Life Outcomes. 2016 Feb 17;14:23. doi: 10.1186/s12955-016-0425-7. — View Citation
Brahmbhatt DH, Cowie MR. Remote Management of Heart Failure: An Overview of Telemonitoring Technologies. Card Fail Rev. 2019 May 24;5(2):86-92. doi: 10.15420/cfr.2019.5.3. eCollection 2019 May. — View Citation
Guidi G, Pollonini L, Dacso CC, Iadanza E. A multi-layer monitoring system for clinical management of Congestive Heart Failure. BMC Med Inform Decis Mak. 2015;15 Suppl 3(Suppl 3):S5. doi: 10.1186/1472-6947-15-S3-S5. Epub 2015 Sep 4. — View Citation
Jaarsma T, Arestedt KF, Martensson J, Dracup K, Stromberg A. The European Heart Failure Self-care Behaviour scale revised into a nine-item scale (EHFScB-9): a reliable and valid international instrument. Eur J Heart Fail. 2009 Jan;11(1):99-105. doi: 10.1093/eurjhf/hfn007. — View Citation
Koehler F, Winkler S, Schieber M, Sechtem U, Stangl K, Bohm M, Boll H, Baumann G, Honold M, Koehler K, Gelbrich G, Kirwan BA, Anker SD; Telemedical Interventional Monitoring in Heart Failure Investigators. Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study. Circulation. 2011 May 3;123(17):1873-80. doi: 10.1161/CIRCULATIONAHA.111.018473. Epub 2011 Mar 28. — View Citation
Koulaouzidis G, Iakovidis DK, Clark AL. Telemonitoring predicts in advance heart failure admissions. Int J Cardiol. 2016 Aug 1;216:78-84. doi: 10.1016/j.ijcard.2016.04.149. Epub 2016 Apr 21. — View Citation
Lee S, Chu Y, Ryu J, Park YJ, Yang S, Koh SB. Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis. Yonsei Med J. 2022 Jan;63(Suppl):S93-S107. doi: 10.3349/ymj.2022.63.S93. — View Citation
Roque NA, Boot WR. A New Tool for Assessing Mobile Device Proficiency in Older Adults: The Mobile Device Proficiency Questionnaire. J Appl Gerontol. 2018 Feb;37(2):131-156. doi: 10.1177/0733464816642582. Epub 2016 Apr 11. — View Citation
Scherr D, Kastner P, Kollmann A, Hallas A, Auer J, Krappinger H, Schuchlenz H, Stark G, Grander W, Jakl G, Schreier G, Fruhwald FM; MOBITEL Investigators. Effect of home-based telemonitoring using mobile phone technology on the outcome of heart failure patients after an episode of acute decompensation: randomized controlled trial. J Med Internet Res. 2009 Aug 17;11(3):e34. doi: 10.2196/jmir.1252. — View Citation
Schiff GD, Fung S, Speroff T, McNutt RA. Decompensated heart failure: symptoms, patterns of onset, and contributing factors. Am J Med. 2003 Jun 1;114(8):625-30. doi: 10.1016/s0002-9343(03)00132-3. — View Citation
Tripoliti EE, Papadopoulos TG, Karanasiou GS, Naka KK, Fotiadis DI. Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques. Comput Struct Biotechnol J. 2016 Nov 17;15:26-47. doi: 10.1016/j.csbj.2016.11.001. eCollection 2017. — View Citation
* Note: There are 12 references in all — Click here to view all references
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Change in the combination of the normalized and weighted quality of life, self-care and adherence to treatment scales by the patient | Composite of change in the value of the combined value of the normalized and weighted scales of each questionnaire: the Minnesota Living with Heart Failure scale, The European Heart Failure Self-care behaviour scale and the Simplified Medication Adherence Questionnaire. | 3 months | |
| Secondary | Mortality from cardiovascular (CV) causes | Number of deaths | 3 months | |
| Secondary | Mortality from any cause | Number of deaths | 3 months | |
| Secondary | Acute decompensation of HF (first and recurrent) during the follow-up period | Number of total decompensations | 3 months | |
| Secondary | Hospital readmission due to HF decompensation | Total number of hospitalizations | 3 months | |
| Secondary | Hospital readmission for CV causes | Total number of hospitalizations | 3 months | |
| Secondary | Visits to the emergency room due to HF decompensation | Total number of visits | 3 months | |
| Secondary | Emergency visits for CV causes | Total number of visits | 3 months | |
| Secondary | Quality of life scale | Quality of life measured with the Minnesota Living with Heart Failure scale. Scale from 0 to 105. The lower the score the better outcome. | 3 months | |
| Secondary | Treatment adherence | Adherence to treatment measured with SMAQ. Scale from 0 to 5. The higher the score the better outcome. | 3 months | |
| Secondary | Self-care | Patient's self-care measured with The European Heart Failure Self-Care Behavior Scale scale. Scale from 0 to 100. The higher the score the better outcome. | 3 months |
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