Multicenter Trial for the Validation of Vitalera Platform

NCT ID: NCT05825755

Last Updated: 2025-03-19

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

97 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-03-20

Study Completion Date

2024-11-16

Brief Summary

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Vitalera 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).

Detailed Description

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This is a randomized controlled trial involving a Spanish network of hospitals. The study consists of continuous remote patient monitoring using vitalera's digital platform and the supplied devices (blood pressure monitor, wearable, scale and oximeter). For 3 months, a total of 250 patients suffering from HF will have their physiological constants monitored.

Patients will be included in the study based on the eligibility criteria and must complete the informed consent provided. Each hospital will decide when to include their patients according to their particular clinical practice. The recruitment period is defined as 3 months. That means patients will be incorporated into the study from its start until the third month. The last subject included in the study will then finish the study after six months from the first day of the study. Medical professionals from each hospital will be in charge of recruiting the participants. The recruitment rate is specific for each hospital, and it may vary depending on the month.

Conditions

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Chronic Patients Heart Failure

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Usual care (UC)

The follow-up of the patients in the UC arm will be carried out in accordance with the usual clinical practice of each recruitment center. All recruiting centers have active and mature HF programs in place and therefore each center will decide how to follow up the patient. However, medical professionals will be required to register each patient on the platform, enter their baseline data (sociodemographics and risk factors) and enter all possible clinical events (death, non-fatal HF event, hospitalization or emergency room visit). that the patient could suffer during the entire follow-up period.

The number of pre-planned contacts will be defined according to the particular clinical practice of each recruitment center.

Group Type NO_INTERVENTION

No interventions assigned to this group

Telemonitoring (TM)

Patients in the TM arm will be followed up with the vitalera platform and app. Physiological parameters (measured periodically), socio-demographic data, risk factors, medication tracking, symptomatology questionnaire for patients, NYHA-class, clinical interventions, health questionnaire answers, classified alarms with their respective timestamp and annotation by the MD, and measurement ranges for each personalized alarm and their changes.

Group Type EXPERIMENTAL

vitalera telemonitoring platform

Intervention Type OTHER

Patients will be followed-up with measurements from medical devices and health questionnaires delivered through the app

Interventions

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vitalera telemonitoring platform

Patients will be followed-up with measurements from medical devices and health questionnaires delivered through the app

Intervention Type OTHER

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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humanITcare

NETWORK

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Marta MD Farrero

Role: PRINCIPAL_INVESTIGATOR

Hospital Clinic of Barcelona

Locations

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Hospital de Dénia

Denia, Alacant, Spain

Site Status

Hospital d'Alcoi

Alcoy, Alicante, Spain

Site Status

Hospital General Universitario de Elche

Elche, Alicante, Spain

Site Status

Hospital de Vinalopó

Elche, Alicante, Spain

Site Status

Hospital de Terrassa

Terrassa, Barcelona, Spain

Site Status

Corporació de Salut del Maresme i la Selva (Hospital de Blanes-Hospital de Calella)

Blanes, Girona, Spain

Site Status

Hospital de Torrejón

Torrejón de Ardoz, Madrid, Spain

Site Status

Hospital Universitari Sant Joan de Reus

Reus, Tarragona, Spain

Site Status

Hospital Clínic de Barcelona

Barcelona, , Spain

Site Status

Hospital Clínico Lozano Blesa de Zaragoza

Zaragoza, , Spain

Site Status

Countries

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Spain

References

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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.

Reference Type BACKGROUND
PMID: 27942354 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 35083827 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12798449 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31179018 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19687005 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27140340 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 21444883 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 35040610 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26391638 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19147463 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27255686 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26887590 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

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FOLLOWHEALTH-2023-02

Identifier Type: -

Identifier Source: org_study_id

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