Healthy PopulationCV-PREVITALNCT05339841
Italian Digital Primary Cardiovascular Prevention Study
A study testing Mobile health application in people with Healthy Population, run by Centro Cardiologico Monzino at 32 sites in Italy.
Trial summary
The CV-PREVITAL study is a randomised clinical trial (RCT) controlled versus usual-care designed to compare the effectiveness of a mobile health (mHealth) intervention with that of usual care in reducing specific cardiovascular (CV) risk factors (in the short term) and the occurrence of vascular events (in the long… Read more about this study
- Who is it for?
- Ages 45 years and olderHealthy volunteers can take part
- Conditions the study is for
- Healthy Population
- What is being tested?
- Mobile health application
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 27,520 participants
- Where
- 32 sitesItaly
- Study dates
- 10 Jun 2022to Dec 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 45 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Subjects aged ≥ 45 years
- Have given their consent to participate in the study
- Subjects who have a smartphone
Who cannot join
- Current or previous cardiovascular disease (personal history of myocardial infarction, angina pectoris, arterial revascularization procedures, stroke, TIA, peripheral artery disease)
- Psychiatric disorders
- Participation in other clinical trials
Trial locations and contacts
32 sites in 1 country.
32 sites in 1 country
Italy32 sites
Medici Insubria
Appiano Gentile, Lombardy, 22070
Samnium Medica
Benevento, Campania, 82018
IML
Bergamo, Lombardy, 24121
Meditem
Carpi, Emilia-Romagna, 41012
MediCoop Genova
Genoa, Liguria, 16122
Ospedale Policlinico San Martino IRCCS
Genoa, Liguria, 16132
GST
Legnano, Lombardy, 20025
Progetto Salute Soc. Coop
Martano, Apulia, 73025
CMMC
Milan, Lombardy, 20100
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
Milan, Lombardy, 20122
Centro Cardiologico Monzino
Milan, Lombardy, 20138
Istituto Auxologico Italiano IRCCS
Milan, Lombardy, 20149
Cosma 2000
Mozzate, Lombardy, 22076
Medigen Salute
Padova, Veneto, 35100
IRCCS Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione (ISMETT)
Palermo, Sicily, 90127
Fondazione IRCCS Policlinico San Matteo
Pavia, Lombardy, 27100
Istituti Clinici Scientifici Maugeri IRCCS
Pavia, Lombardy, 27100
IRCCS Neuromed
Pozzilli, Isernia, 86067
MAF
Pradamano, Friuli Venezia Giulia, 33040
Panacea Medical Group
Reggio Calabria, Calabria, 89132
Arvamed
Rome, Lazio, 00118
IRCCS San Raffaele Roma
Rome, Lazio, 00163
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Rome, Lazio, 00168
Humanitas Research Hospital IRCCS
Rozzano, Lombardy, 20089
MEDINCO'
Salerno, Campania, 84083
Magna Grecia
Salerno, Campania, 84121
IRCCS Policlinico San Donato
San Donato Milanese, Lombardy, 22097
Nucleo Cure Primarie Val Pescara
Scafa, Abruzzo, 65027
ARS Medica
Seravezza, Tuscany, 55047
IRCCS MultiMedica SpA
Sesto San Giovanni, Lombardy, 20099
Medici 2000
Siena, Tuscany, 53100
CMMG Soresina
Soresina, Lombardy, 26015
About this study
Official title: Digital Strategies in Primary Cardiovascular Prevention in the Italian Population
The CV-PREVITAL study is a randomised clinical trial (RCT) controlled versus usual-care designed to compare the effectiveness of a mobile health (mHealth) intervention with that of usual care in reducing specific cardiovascular (CV) risk factors (in the short term) and the occurrence of vascular events (in the long term). Promoted by the Italian Network of Cardiology (ICN, a cardiovascular research network promoted by the Italian Ministry of Health), in collaboration with the Consorzio Sanità (Co.S., an Italian consortium of general practitioners), CV-PREVITAL aims to develop an innovative model of cardiovascular primary prevention and to validate it in a very large sample of subjects and in 'real life' conditions.
Read the detailed description
CV-PREVITAL is an RCT investigating whether an mHealth application (App) provided on top of usual care, can improve lifestyle habits and CV risk factor control in the short-term, and the incidence of major CV events in the long- term. Participants undergo two clinical visits, the first at baseline and the second after 12 months. During these visits, total cholesterol, HDL, LDL, triglyceride, HbA1c, blood pressure, heart rate, BMI and waist circumference are measured. In addition, using questionnaires provided digitally, participants self-report data on the following topics: adherence to the Mediterranean diet, salt intake, alcohol consumption, physical activity, current and previous smoking history, psychosocial profile, and sleep quality. Demographic information, including education, socio-economic status and ethnic origin are also obtained at baseline. Subjects in the intervention group also receive the credentials to download the App, which contains educational information on cardiovascular risk factors, diet, physical activity, lifestyle and psycho-behavioral aspects. Using ad hoc designed algorithms, the App delivers personalized prevention programs based on periodic messages providing advice, motivational reminders and support to improve lifestyle and risk factor control. When at baseline high levels of blood pressure, blood glucose or cholesterol are detected, the App support the participant in self-monitoring the clinical changes of such variables during the follow up. The efficacy of the intervention is evaluated at the12th month using a cardiovascular risk score developed ad hoc in an Italian population (Modified Moli-Sani Score). The ability of the intervention to maintain its effect over time and its effectiveness in improving clinical outcomes are assessed at the 7th year of follow-up. The cost-effectiveness of the intervention is also evaluated at the 7th year.
The study envisages the recruitment of 82,800 participants (aged ≥45y) nationwide. Of these, 50,000 are selected among those who daily access the GPs ambulatories associated to the Co.S. consortium. In order to assess whether the scheduled mHealth intervention can be effective also in settings different from the primary care, several specific cohorts in primary prevention are also enrolled by specialized units belonging to Scientific Institutes for Research, Hospitalization and Health Care (Italian acronym IRCCS). These cohorts include 32,800 subjects in total. Specifically, the UO-1 (IRCCS Cardiologico Monzino in Milan) enrolls 5,000 participants selected among citizens attending to community pharmacies; the UO-2 (IRCCS Auxologico in Milan) enrolls 5,000 subjects, 1,500 of which belonging to the Centre for Sleep Medicine; the UO-3 (IRCCS Humanitas in Milan) enrolls 2,000 subjects attending the institution; the UO-4 (IRCCS Mario Negri in Milan) does not recruit any subject but provides scientific and organizational support for the enrolment carried out by Co.S.; the UO-5 (IRCCS MultiMedica in Milan) enrolls 1,000 subjects with diabetes and 2,000 subjects from the general population; the UO-6 (IRCCS Neuromed in Pozzilli) enrols 10,000 subjects from the Neuromed clinical research centres; the UO-7 (IRCCS San Donato in Milan) enrolls 1,000 subjects selected among its own employees; the UO-8 (IRCCS Maugeri in Pavia) enrolls 1,000 subjects selected among its own employees; the UO-9 (IRCCS ISMETT, Mediterranean Institute for Transplantation and Advanced Specialized Therapies, in Palermo) enrolls 150 subjects who undergoes a physical activity program; the UO-10 (IRCCS San Martino in Genoa) enrolls 2,000 male subjects from the Municipality of Genoa; the UO-11 (IRCCS Ca' Granda of Milan) enrolls 2,000 blood donors afferent to its own Department of Transfusion Medicine and Hematology (DMTE); the UO-12 (IRCCS Gemelli in Rome) enrolls 1,000 subjects attending to the outpatient clinics of the Non-Invasive Cardiology Diagnostic Unit, of the Centre for Hypertension, and of the Centre for Endocrine and Metabolic Diseases; the UO-13 (IRCCS San Matteo in Pavia) enrolls 500 subjects selected among asymptomatic relatives of patients attending to the Policlinico San Matteo for cardiology reasons; the UO-14 (IRCCS San Raffaele in Rome) enrolls 150 subjects selected among its own employees.
Baseline data of the 82,800 participants and 1- and 7-years outcomes are also used to develop and validate a new algorithm for cardiovascular risk estimation. The new algorithm is developed by identifying among alcohol intake (as assessed by PREDIMED questionnaire), salt intake (as assessed by MiniSal questionnaire), perceived stress (as assessed by perceived stress scale (PSS), anxiety and depression (as assessed by Patient Health Questionnaire 4; PHQ 4), Locus of control (as assessed by Multidimensional Health Locus of Control scale, MHLCS), General Self Efficacy (as assessed by General Self Efficacy Scale; GSE), Risk propensity (as assessed by Risk Propensity Scale; RPS), and sleep quality (as assessed by Pittsburgh Sleep Quality Index) those variables that significantly improve the predictive power of the modified Moli-Sani algorithm.
The CV-PREVITAL trial also envisages a series of ancillary studies that are conducted by the various IRCCSs on the subjects already participating in the main study. Each ancillary study has its own protocol and aims, and foresees the evaluation of the role of further biomarkers relevant in the assessment of cardiovascular risk. The sub-study aims, outcomes information and time frame are described below. Baseline data of many ancillary studies are used to identify conventional and emerging determinants of specific cardiometabolic diseases. Specifically: a) the IRCCS Monzino analyses with multivariable approaches determinants and factors predisposing to diabetes status as assessed by Framingham diabetes score; b) the IRCCS Auxologico will apply additional elements for risk stratification including biomarkers high sensitive C-reactive protein (hs-CRP), Troponin I, N-terminal pro-brain natriuretic peptide (NT-proBNP), as well as 24 h ABPM (Ambulatory Blood Pressure Monitoring) derived variables; c) the IRCCS Humanitas analyses the frequency of genetic polymorphisms related to severe coronary calcification of its own cohort to identify genetic determinants of severe coronary calcification; d) the IRCCS MultiMedica analyses with multivariable approaches anthropometric (e.g. weight, height, BMI), biochemical data (e.g. lipid profile) and specific genetic disorders (e.g. presence of causative mutations in known genes involved in dyslipidemia) to identify determinants predisposing to dyslipidemia, hypertension and diabetes; e) the IRCCS Neuromed analyses with multivariable approaches determinants of dietary changes in the CV-PREVITAL Neuromed sub-study cohort; f) the Istituti Clinici Scientifici Maugeri IRCCS analyses baseline data of its own cohort with multivariable approaches to identify determinants of organ damage such as coronary silent ischemia, ankle brachial index, coronary calcium score and carotid ultrasound as well as Genetic and epigenetic (DNA and RNA) and other chemical determinants and factors predisposing to atherosclerotic diseases; g) the IRCCS Ca' Granda performs a 7 years validation of new monogenic and polygenic cardiovascular risk scores in its own primary prevention cohort. To this aim the study cohort is genotyped with GWAS and Whole Exome Sequencing (WES) for genetic factors influencing intracellular lipid handling (PNPLA3 I148M, TM6SF2 E167K, GCKR P446L, MBOAT7). Epigenetic variables indicated in the literature as early predictors of cardiovascular injury and cardiovascular events are also investigated. In addition to the characterization of genetic variants in known associated genes, the genomic characterization will allow the validation of candidate risk variants in genes reported to influence cardiovascular damage, the identification of potentially new candidate variants, and the calculation of polygenic cardiovascular risk scores and of their possible application to disease risk stratification in the Italian population; h) the IRCCS San Matteo develops new monogenic and polygenic scores and validates existing scores for the risk assessment of developing diabetes, hypertension and hypercholesterolemia.
Beyond the specific aims of the single sub-studies, a relevant goal common to all sub-studies is the collection of biological samples for the multisite biobank of the ICN.
The full list of approving body and approval number/ID of CV-PREVITAL studies is reported below.
Parent study: Approval Number: R1256/20-CCM 1319; Board Name: Comitato Etico degli IRCCS Istituto Europeo di Oncologia e Centro Cardiologico Monzino.
Ancillary studies of Monzino: Approval Number: R1579/21-CCM 1677 and R1617/22-CCM 1723; Board Name: Comitato Etico degli IRCCS Istituto Europeo di Oncologia e Centro Cardiologico Monzino.
Ancillary study of Istituto Auxologico Italiano: Approval Number: 2022_03_08_06; Board Name: Comitato Etico dell'IRCCS Istituto Auxologico Italiano.
Ancillary study of Humanitas: Approval Number: 2860; Board Name: Comitato Etico Indipendente dell'Istituto Clinico Humanitas.
Ancillary study of Multimedica: Approval Number: MM: 472.2021; Board Name: Comitato Etico IRCCS Multimedica - Sezione del Comitato Etico Centrale IRCCS Lombardia.
Ancillary study of Neuromed: Approval: Session of 28/09/2020; Board Name: Comitato Etico dell'Istituto Neurologico Mediterraneo Neuromed.
Ancillary study of San Donato: Approval Number: 197/INT/2021; Board Name: Comitato Etico IRCCS Ospedale San Raffaele.
Ancillary study of Maugeri: Approval Number: 2575 CE; Board Name: Comitato Etico degli Istituti Clinici Scientifici Maugeri.
Ancillary study of ISMETT: Approval Number: IRRB/16/22; Board Name: Comitato Etico IRCCS Sicilia.
Ancillary study of San Martino: Approval Number: 173/2021; Board Name: Comitato Etico Regionale della Liguria.
Ancillary study of Ca' Granda: Approval Number: 887_2020; Board Name: Comitato Etico Milano Area 2.
Ancillary study of Gemelli: Approval Number: 3614; Board Name: Comitato Etico della Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore.
Ancillary study of San Matteo: Approval Number: 2022-3.11/91 and 2022-3.11/493; Board Name: Comitato Etico Pavia.
Ancillary studiy of San Raffaele Roma: Approval Number: 21/21; Board Name: Comitato Etico IRCCS San Raffale Roma.
Update on Study Progress and Power Analysis: In its original design, the CV-PREVITAL study aimed to enrol approximately 80,000 subjects aged ≥45 years with no previous cardiovascular events. These participants were intended to be recruited from general practice clinics, pharmacies, or clinics of Scientific Institutes for Research, Hospitalization and Health Care (IRCCS). However, due to the challenges posed by the COVID-19 pandemic, which has fully engaged all parties involved in the study (primarily general practitioners, pharmacists, and IRCCS physicians), the planned activities of the study have been significantly delayed, especially in terms of participant enrollment. Despite these challenges, the study successfully recruited around 28,000 subjects, which is expected to be a sufficient number for evaluating the short-term primary endpoint. Specifically, to assess the short-term primary endpoint, a sample size of N=7895 per treatment arm is required, assuming a significance level of 0.05 and a power of 90%. Therefore, if the target of 16,000 subjects with completed follow-up is achieved, the study will have adequate power to reach the short-term primary endpoint. The estimation of the statistical power for the long-term endpoint will be carried out at the conclusion of the 7-year follow-up period when data regarding the actual dropout rate become available.
- Conditions
- Healthy Population
- Being tested
- Mobile health application
- Keywords
- CV primary prevention, CV risk factors, Hypertension, Diabetes, Hypercholesterolemia, Lifestyle behaviours, Digital Health, mHealth, Mobile app, Health empowerment, Primary care
- Medical subject headings
- Hypertension, Diabetes Mellitus, Hypercholesterolemia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Mobile health applicationOther
Also called mHealth app
The mHealth app delivers a personalized support program of digital health. Specifically, using ad hoc designed algorithms which uses the data self-reported by the subject and/or collected by the recruiter at baseline, the App delivers periodic messages with advice, motivational reminders and support to improve lifestyle habits and risk factor control.
| Study group | Role | What they receive |
|---|---|---|
| Control group | No intervention | Subjects monitored following usual-care. |
| Intervention group | Experimental | Subjects in the intervention group, in addition to usual-care, will download a mHealth App that contains educational information promoting healthy lifestyle behaviours. The participant will be also able to self-monitor his/her clinical status regarding hypertension, diabetes or hypercholesterolemia. Receives: Other: Mobile health application |
What is being measured
The primary outcome is the main question the study is designed to answer.
Cardiovascular risk as assessed by Modified Moli-Sani risk score in the Italian population
A score (modified Moli-Sani Risk Score) developed in the Italian population is used to analyze the efficacy of the intervention at 12 months. The risk score includes of blood pressure, HDL, LDL, triglyceride, blood glucose, overweight, physical activity, adhesion to Mediterranean diet and cigarette smoking. The modified Moli-Sani Risk Score may range from 0 to 100 and higher scores means higher risk. A 10% improvement in score between the baseline and final visit in the intervention group compared with the control group is assumed as indicator of intervention effectiveness.
Measured: 12 months
Long-term CV clinical outcome at 7 years follow-up
Incidence of a composite outcome including myocardial infarction (MI), stroke, transient ischemic attack (TIA), peripheral artery disease or CV death. In case of multiple vascular events only the first is used in the analyses of composite outcome, whereas the specific outcome (e.g. MI or stroke) is used when the sub-analyses focused on cardio- or cerebrovascular events are run.
Measured: 7 years
Secondary outcomes (34)
Change of a combined endpoint including hypertension, diabetes, hypercholesterolemia
For each individual subject, the combined end-point will be calculated, at baseline and at month 12, as the number of variables out of target (according to last European Society of Cardiology guidelines), among blood pressure, HbA1c and blood cholesterol; therefore, its value will range between 0 and 3. The difference in the combined end-point between month 12 and baseline will be compared, between the two experimental groups, using Wilcoxon rank-sum test.
Measured: 12 months
Systolic and diastolic blood pressure (mmHg)
Comparison of the mean change from baseline in blood pressure in the two experimental groups.
Measured: 12 months
HDL-C, LDL-C, and triglycerides (mg/dL)
Comparison of the mean change from baseline in blood lipids in the two experimental groups.
Measured: 12 months
HbA1c (%)
Comparison of the mean change from baseline in HbA1c in the two experimental groups.
Measured: 12 months
Body weight (kg)
Comparison of the mean change from baseline in body weight in the two experimental groups.
Measured: 12 months
Physical activity (IPAQ questionnaire)
Comparison of the mean change from baseline in levels of physical activity as assessed by the short version (9 items) of the IPAQ (International Physical Activity Questionnaire) in the two experimental groups.
Measured: 12 months
Mediterranean diet adherence (PREDIMED questionnaire)
Comparison of the mean change from baseline in adherence to Mediterranean diet as assessed by PREDIMED (Prevention with Mediterranean Diet)" questionnaire in the two experimental groups. The PREDIMED score is a 14-item Mediterranean Diet adherence screener. Adherence is stratified in three categories: 1) low adherence (calculated score ≤5) 2) intermediate adherence (calculated score from 6 to 9), 3) high adherence (calculated score ≥10).
Measured: 12 months
Mediterranean diet adherence (Moli-Sani questionnaire)
Comparison of the mean change from baseline in adherence to Mediterranean diet as assessed by the Moli-Sani study questionnaire in the two experimental groups. The Moli-Sani Mediterranean diet adherence score may range from 0 to 21, the latter reflecting the maximal adherence to Mediterranean diet.
Measured: 12 months
Smoking status
Comparison of the mean change from baseline in cigarette smoking quantified by pack-years (number of packs of cigarettes smoked per day by the number of years the person has smoked) in the two experimental groups.
Measured: 12 months
Alcohol intake
Comparison of the mean change from baseline in alcohol intake as assessed by PREDIMED (''Prevención con dieta mediterránea'') questionnaire in the two experimental groups.
Measured: 12 months
Salt intake (MiniSal questionnaire)
Comparison of the mean change from baseline in salt intake as assessed by MiniSal questioner in the two experimental groups. The score may range from 0 to 11, the latter reflecting the maximal salt intake.
Measured: 12 months
Stress (Perceived Stress Scale; PSS)
Comparison of the mean change from baseline in perceived stress as assessed by PSS (Perceived Stress Scale) in the two experimental groups. The PSS scale may range from 0 to 40 and higher values means higher perceived Stress.
Measured: 12 months
Psychological distress (PHQ 4 questionnaire)
Comparison of the mean change from baseline in psychological distress as assessed by "Patient Health Questionnaire-4 (PHQ-4)" in the two experimental groups. The psychological distress PHQ-4 questionnaire may range from 0 to 12 and higher values means higher presence of the disorder.
Measured: 12 months
Anxiety (PHQ 4 questionnaire)
Comparison of the mean change from baseline in anxiety as assessed by "Patient Health Questionnaire-4 (PHQ-4)" in the two experimental groups. The Anxiety PHQ-4 questionnaire may range from 0 to 6 and higher values means higher presence of the disorder.
Measured: 12 months
Depression (PHQ 4 questionnaire)
Comparison of the mean change from baseline in depression as assessed by "Patient Health Questionnaire-4 (PHQ-4)" in the two experimental groups. The Depression PHQ-4 questionnaire may range from 0 to 6 and higher values means higher presence of the disorder.
Measured: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Internality
Comparison of the mean change from baseline in locus of control as assessed by "Multidimensional Health Locus of Control Scale (MHLCS)-Internality" in the two experimental groups. The MHLCS-Internality may range from 6 to 36 and higher values means greater subject's internal locus of control.
Measured: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Powerful Others Externality
Comparison of the mean change from baseline in locus of control as assessed by "Multidimensional Health Locus of Control Scale (MHLCS)-powerful-others-externality" in the two experimental groups. The MHLCS-powerful-others-externality may range from 6 to 36 and higher values means greater subject's external (dependent on others) locus of control.
Measured: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Chance Externality
Comparison of the mean change from baseline in locus of control as assessed by "Multidimensional Health Locus of Control Scale (MHLCS)-chance-externality" in the two experimental groups. The MHLCS-chance-externality may range from 6 to 36 and higher values means greater external (case-dependent) locus of control of the subject.
Measured: 12 months
General Self Efficacy (GSE Scale)
Comparison of the mean change from baseline in general self-efficacy as assessed by "General Self Efficacy scale (GSE)" in the two experimental groups. The GSE scale may range from 10 to 40 and higher values mean greater self-efficacy perceived by the subject.
Measured: 12 months
Risk propensity (RPS Scale)
Comparison of the mean change from baseline in risk propensity as assessed by "Risk Propensity Scale (RPS)" in the two experimental groups. The RPS scale may range from 7 to 63 and higher values mean greater propensity to take risks.
Measured: 12 months
Sleep quality (Pittsburgh Sleep Quality Index)
Comparison of the mean change from baseline in sleep quality as assessed by "Pittsburgh Sleep Quality Index (PSQI)" in the two experimental groups. The PSQI may range from 0 to 21 and higher values mean lower sleep quality.
Measured: 12 months
Subjects' adherence to data recording
The App developed in the project collects information to analyse the participant's compliance with the data recording activities suggested by the app itself (blood pressure and blood glucose measurements, etc.). The subjects' adherence to data recording activities suggested by the app is assessed as the proportion of activities actually accomplished over the activities suggested.
Measured: 12 months
Interruptions in the use of the mHealth App
The App developed in the project provides functions able to assess the number of accesses over time of the participant and the actual use of the recommended tools. The interruptions in the use of the mHealth App is assessed as the number of weeks of lack of the actual use of the app.
Measured: 12 months
Adherence to recommended therapies
As part of the project, information on current therapies are collected in the eCRF at both baseline and 12 months. This information, together with the clinical/anthropometric data collected on the same occasions, will make it possible to ascertain whether a possible discontinuation of one of the therapies recorded at baseline is due to a improvement in the participant's clinical profile or to poor compliance. A poor adherence to recommended therapies is assessed by computing the frequency of non-medically justified therapy discontinuation.
Measured: 12 months
Cost/effectiveness of intervention
Incremental cost-effectiveness ratio (EUR/QALYs) calculated on the basis of costs related to intervention implementation (summation of costs of implementing and maintaining the IT platform, costs of the smartphone application, costs for healthcare professionals training for the use of the IT platform and costs for the involvement and education of participants) combined in an economic model with the QALYs (Quality Adjusted Life Years) modelled based on number of cardiovascular events (fatal and non-fatal) avoided during the seven years of follow-up.
Measured: 7 years
House ownership as socioeconomic status indicator
House ownership as socio-economic factor relevant to cardiovascular risk - proportion of subjects who are homeowners.
Measured: 7 years
Type of residence as socioeconomic status indicator
Type of residence as socio-economic factor relevant to cardiovascular risk - proportion of subjects living in urban (big or small city) or rural area.
Measured: 7 years
Education as socioeconomic status indicator
Education as socio-economic factor relevant to cardiovascular risk - proportion of subjects with: (1) no education (2) elementary education (3) Lower middle school (4) Higher middle school (5) Graduate (6) postgraduate).
Measured: 7 years
Employment status as socioeconomic status indicator
Employment status as socio-economic factor relevant to cardiovascular risk - proportion of subjects who: (1) have a full-time job, (2) work less than 5 days a week, (3) have a part-time job, (4) are disability pensioner, (5) are retired due to age limit, (6) are Partially retired, (7) are unemployed, (8) are Housewife.
Measured: 7 years
Type of profession as socioeconomic status indicator
Type of profession as socio-economic factor relevant to cardiovascular risk - proportion of subjects who are: (1) professionals, (2) teachers, (3) large business owners, (4) small business owners, (5) services, (6) employees, (7) laborers, (8) farmers, (9) Other.
Measured: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of hospitalization (questionnaire)
History of hospitalization for SARS-CoV-2 infection as a risk factor for vascular events - proportion of subjects hospitalized for SARS-CoV-2 infection among those who develop or not vascular events over the 7-year follow-up period.
Measured: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of symptoms (questionnaire)
History of symptoms for SARS-CoV-2 infection as a risk factor for vascular events - proportion of subjects with symptoms for SARS-CoV-2 infection among those who develop or not vascular events over the 7-year follow-up period.
Measured: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of asymptomatic disease (questionnaire)
History of asymptomatic SARS-CoV-2, documented by at least one positive swab, as a risk factor for vascular events - proportion of subjects with at least one positive swab for SARS-CoV-2 infection among those who do or do not develop vascular events during the 7-year follow-up period.
Measured: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of vaccination (questionnaire)
History of vaccination against SARS-CoV-2 infection as a protective factor for vascular events - proportion of subjects with at least one dose of vaccination against SARS-CoV-2 infection among those who do or do not develop vascular events during the 7-year follow-up period.
Measured: 7 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted21 Apr 2022
- Study start10 Jun 2022
- Primary completionJun 2029 (estimated)
- Study completionDec 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Healthy PopulationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Patients will be randomized in two parallel groups:" intervention group" and "usual care". In the setting of general medicine, the procedure randomises the general practitioners (GPs) assuring that in each recruiting centre the number of GPs assigned to the control group (usual care) is balanced with that assigned to the intervention group. In the setting of community pharmacies, the procedure randomises the pharmacies assuring that in each geographic area the number of pharmacies assigned to the control group and is balanced with that assigned to the intervention group. In the setting of IRCCS the procedure directly randomises the patients.
- Masking
- None (open label)
- Enrolment
- 27,520 participants (actual)
Sponsor and investigators
- Lead sponsor
- Centro Cardiologico Monzino
- Sponsor type
- University, hospital or other
- Collaborators
- Istituto Auxologico Italiano, Humanitas Hospital, Italy, Istituto Di Ricerche Farmacologiche Mario Negri, IRCCS Multimedica, Neuromed IRCCS, IRCCS Policlinico S. Donato, Istituti Clinici Scientifici Maugeri SpA, The Mediterranean Institute for Transplantation and Advanced Specialized Therapies, Ospedale Policlinico San Martino, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Fondazione IRCCS Policlinico San Matteo di Pavia, IRCCS San Raffaele Roma, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
- Responsible party
- Sponsor
- Investigators
- Giulio Pompilio, Professor, Principal investigator, Centro Cardiologico Monzino IRCCSGianfranco Parati, Professor, Principal investigator, Istituto Auxologico Italiano IRCCS
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05339841
- Sponsor's protocol ID
- R1256/20-CCM 1319
- Other IDs
- RCR-2019-23669116_001
- Acronym
- CV-PREVITAL
- Status last verified
- Mar 2025
- First submitted
- 9 Sep 2021
- Last updated
- 4 Apr 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: The IPD sharing plan is under definition
Publications
Baldassarre D, Iacoviello L, Baetta R, Roncaglioni MC, Condorelli G, Remuzzi G, Gensini G, Frati L, Ricciardi W, Conaldi PG, Uccelli A, Blandini F, Bosari S, Scambia G, Fini M, Di Malta A, Amato M, Veglia F, Bonomi A, Klersy C, Colazzo F, Pengo M, Gorini F, Auteri L, Ferrante G, Baviera M, Ambrosio G, Catapano A, Gialluisi A, Malavazos AE, Castelvecchio S, Corsi-Romanelli MM, Cardani R, La Rovere MT, Agnese V, Pane B, Prati D, Spinardi L, Liuzzo G, Arbustini E, Volterrani M, Visconti M, Werba JP, Genovese S, Bilo G, Invitti C, Di Blasio A, Lombardi C, Faini A, Rosa D, Ojeda-Fernandez L, Foresta A, De Curtis A, Di Castelnuovo A, Scalvini S, Pierobon A, Gorini A, Valenti L, Luzi L, Racca A, Bandi M, Tremoli E, Menicanti L, Parati G, Pompilio G; CV-PREVITAL Study Group. Rationale and design of the CV-PREVITAL study: an Italian multiple cohort randomised controlled trial investigating innovative digital strategies in primary cardiovascular prevention. BMJ Open. 2023 Jul 14;13(7):e072040. doi: 10.1136/bmjopen-2023-072040.
PubMed 37451717
Study at a glance
From the registry record, last updated by the sponsor on 4 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Digital Strategies in Primary Cardiovascular Prevention in the Italian Population
- ClinicalTrials.gov ID
- NCT05339841
- Acronym / sponsor ID
- CV-PREVITAL / R1256/20-CCM 1319
- Conditions
- Healthy Population
- Keywords
- CV primary prevention, CV risk factors, Hypertension, Diabetes, Hypercholesterolemia, Lifestyle behaviours, Digital Health, mHealth
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 27,520 participants (actual)
- Lead sponsor
- Centro Cardiologico MonzinoUniversity, hospital or other
- Collaborators
- Istituto Auxologico Italiano, Humanitas Hospital, Italy, Istituto Di Ricerche Farmacologiche Mario Negri, IRCCS Multimedica, Neuromed IRCCS, IRCCS Policlinico S. Donato, Istituti Clinici Scientifici Maugeri SpA, The Mediterranean Institute for Transplantation and Advanced Specialized Therapies, Ospedale Policlinico San Martino, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Fondazione IRCCS Policlinico San Matteo di Pavia, IRCCS San Raffaele Roma, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
- Study start
- 10 Jun 2022 (actual)
- Primary completion
- Jun 2029 (estimated)
- Study completion
- Dec 2029 (estimated)
- First posted
- 21 Apr 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The CV-PREVITAL study is a randomised clinical trial (RCT) controlled versus usual-care designed to compare the effectiveness of a mobile health (mHealth) intervention with that of usual care in reducing specific cardiovascular (CV) risk factors (in the short term) and the occurrence of vascular events (in the long term). Promoted by the Italian Network of Cardiology (ICN, a cardiovascular research network promoted by the Italian Ministry of Health), in collaboration with the Consorzio Sanità (Co.S., an Italian consortium of general practitioners), CV-PREVITAL aims to develop an innovative model of cardiovascular primary prevention and to validate it in a very large sample of subjects and in 'real life' conditions.
Detailed description
CV-PREVITAL is an RCT investigating whether an mHealth application (App) provided on top of usual care, can improve lifestyle habits and CV risk factor control in the short-term, and the incidence of major CV events in the long- term. Participants undergo two clinical visits, the first at baseline and the second after 12 months. During these visits, total cholesterol, HDL, LDL, triglyceride, HbA1c, blood pressure, heart rate, BMI and waist circumference are measured. In addition, using questionnaires provided digitally, participants self-report data on the following topics: adherence to the Mediterranean diet, salt intake, alcohol consumption, physical activity, current and previous smoking history, psychosocial profile, and sleep quality. Demographic information, including education, socio-economic status and ethnic origin are also obtained at baseline. Subjects in the intervention group also receive the credentials to download the App, which contains educational information on cardiovascular risk factors, diet, physical activity, lifestyle and psycho-behavioral aspects. Using ad hoc designed algorithms, the App delivers personalized prevention programs based on periodic messages providing advice, motivational reminders and support to improve lifestyle and risk factor control. When at baseline high levels of blood pressure, blood glucose or cholesterol are detected, the App support the participant in self-monitoring the clinical changes of such variables during the follow up. The efficacy of the intervention is evaluated at the12th month using a cardiovascular risk score developed ad hoc in an Italian population (Modified Moli-Sani Score). The ability of the intervention to maintain its effect over time and its effectiveness in improving clinical outcomes are assessed at the 7th year of follow-up. The cost-effectiveness of the intervention is also evaluated at the 7th year.
The study envisages the recruitment of 82,800 participants (aged ≥45y) nationwide. Of these, 50,000 are selected among those who daily access the GPs ambulatories associated to the Co.S. consortium. In order to assess whether the scheduled mHealth intervention can be effective also in settings different from the primary care, several specific cohorts in primary prevention are also enrolled by specialized units belonging to Scientific Institutes for Research, Hospitalization and Health Care (Italian acronym IRCCS). These cohorts include 32,800 subjects in total. Specifically, the UO-1 (IRCCS Cardiologico Monzino in Milan) enrolls 5,000 participants selected among citizens attending to community pharmacies; the UO-2 (IRCCS Auxologico in Milan) enrolls 5,000 subjects, 1,500 of which belonging to the Centre for Sleep Medicine; the UO-3 (IRCCS Humanitas in Milan) enrolls 2,000 subjects attending the institution; the UO-4 (IRCCS Mario Negri in Milan) does not recruit any subject but provides scientific and organizational support for the enrolment carried out by Co.S.; the UO-5 (IRCCS MultiMedica in Milan) enrolls 1,000 subjects with diabetes and 2,000 subjects from the general population; the UO-6 (IRCCS Neuromed in Pozzilli) enrols 10,000 subjects from the Neuromed clinical research centres; the UO-7 (IRCCS San Donato in Milan) enrolls 1,000 subjects selected among its own employees; the UO-8 (IRCCS Maugeri in Pavia) enrolls 1,000 subjects selected among its own employees; the UO-9 (IRCCS ISMETT, Mediterranean Institute for Transplantation and Advanced Specialized Therapies, in Palermo) enrolls 150 subjects who undergoes a physical activity program; the UO-10 (IRCCS San Martino in Genoa) enrolls 2,000 male subjects from the Municipality of Genoa; the UO-11 (IRCCS Ca' Granda of Milan) enrolls 2,000 blood donors afferent to its own Department of Transfusion Medicine and Hematology (DMTE); the UO-12 (IRCCS Gemelli in Rome) enrolls 1,000 subjects attending to the outpatient clinics of the Non-Invasive Cardiology Diagnostic Unit, of the Centre for Hypertension, and of the Centre for Endocrine and Metabolic Diseases; the UO-13 (IRCCS San Matteo in Pavia) enrolls 500 subjects selected among asymptomatic relatives of patients attending to the Policlinico San Matteo for cardiology reasons; the UO-14 (IRCCS San Raffaele in Rome) enrolls 150 subjects selected among its own employees.
Baseline data of the 82,800 participants and 1- and 7-years outcomes are also used to develop and validate a new algorithm for cardiovascular risk estimation. The new algorithm is developed by identifying among alcohol intake (as assessed by PREDIMED questionnaire), salt intake (as assessed by MiniSal questionnaire), perceived stress (as assessed by perceived stress scale (PSS), anxiety and depression (as assessed by Patient Health Questionnaire 4; PHQ 4), Locus of control (as assessed by Multidimensional Health Locus of Control scale, MHLCS), General Self Efficacy (as assessed by General Self Efficacy Scale; GSE), Risk propensity (as assessed by Risk Propensity Scale; RPS), and sleep quality (as assessed by Pittsburgh Sleep Quality Index) those variables that significantly improve the predictive power of the modified Moli-Sani algorithm.
The CV-PREVITAL trial also envisages a series of ancillary studies that are conducted by the various IRCCSs on the subjects already participating in the main study. Each ancillary study has its own protocol and aims, and foresees the evaluation of the role of further biomarkers relevant in the assessment of cardiovascular risk. The sub-study aims, outcomes information and time frame are described below. Baseline data of many ancillary studies are used to identify conventional and emerging determinants of specific cardiometabolic diseases. Specifically: a) the IRCCS Monzino analyses with multivariable approaches determinants and factors predisposing to diabetes status as assessed by Framingham diabetes score; b) the IRCCS Auxologico will apply additional elements for risk stratification including biomarkers high sensitive C-reactive protein (hs-CRP), Troponin I, N-terminal pro-brain natriuretic peptide (NT-proBNP), as well as 24 h ABPM (Ambulatory Blood Pressure Monitoring) derived variables; c) the IRCCS Humanitas analyses the frequency of genetic polymorphisms related to severe coronary calcification of its own cohort to identify genetic determinants of severe coronary calcification; d) the IRCCS MultiMedica analyses with multivariable approaches anthropometric (e.g. weight, height, BMI), biochemical data (e.g. lipid profile) and specific genetic disorders (e.g. presence of causative mutations in known genes involved in dyslipidemia) to identify determinants predisposing to dyslipidemia, hypertension and diabetes; e) the IRCCS Neuromed analyses with multivariable approaches determinants of dietary changes in the CV-PREVITAL Neuromed sub-study cohort; f) the Istituti Clinici Scientifici Maugeri IRCCS analyses baseline data of its own cohort with multivariable approaches to identify determinants of organ damage such as coronary silent ischemia, ankle brachial index, coronary calcium score and carotid ultrasound as well as Genetic and epigenetic (DNA and RNA) and other chemical determinants and factors predisposing to atherosclerotic diseases; g) the IRCCS Ca' Granda performs a 7 years validation of new monogenic and polygenic cardiovascular risk scores in its own primary prevention cohort. To this aim the study cohort is genotyped with GWAS and Whole Exome Sequencing (WES) for genetic factors influencing intracellular lipid handling (PNPLA3 I148M, TM6SF2 E167K, GCKR P446L, MBOAT7). Epigenetic variables indicated in the literature as early predictors of cardiovascular injury and cardiovascular events are also investigated. In addition to the characterization of genetic variants in known associated genes, the genomic characterization will allow the validation of candidate risk variants in genes reported to influence cardiovascular damage, the identification of potentially new candidate variants, and the calculation of polygenic cardiovascular risk scores and of their possible application to disease risk stratification in the Italian population; h) the IRCCS San Matteo develops new monogenic and polygenic scores and validates existing scores for the risk assessment of developing diabetes, hypertension and hypercholesterolemia.
Beyond the specific aims of the single sub-studies, a relevant goal common to all sub-studies is the collection of biological samples for the multisite biobank of the ICN.
The full list of approving body and approval number/ID of CV-PREVITAL studies is reported below.
Parent study: Approval Number: R1256/20-CCM 1319; Board Name: Comitato Etico degli IRCCS Istituto Europeo di Oncologia e Centro Cardiologico Monzino.
Ancillary studies of Monzino: Approval Number: R1579/21-CCM 1677 and R1617/22-CCM 1723; Board Name: Comitato Etico degli IRCCS Istituto Europeo di Oncologia e Centro Cardiologico Monzino.
Ancillary study of Istituto Auxologico Italiano: Approval Number: 2022_03_08_06; Board Name: Comitato Etico dell'IRCCS Istituto Auxologico Italiano.
Ancillary study of Humanitas: Approval Number: 2860; Board Name: Comitato Etico Indipendente dell'Istituto Clinico Humanitas.
Ancillary study of Multimedica: Approval Number: MM: 472.2021; Board Name: Comitato Etico IRCCS Multimedica - Sezione del Comitato Etico Centrale IRCCS Lombardia.
Ancillary study of Neuromed: Approval: Session of 28/09/2020; Board Name: Comitato Etico dell'Istituto Neurologico Mediterraneo Neuromed.
Ancillary study of San Donato: Approval Number: 197/INT/2021; Board Name: Comitato Etico IRCCS Ospedale San Raffaele.
Ancillary study of Maugeri: Approval Number: 2575 CE; Board Name: Comitato Etico degli Istituti Clinici Scientifici Maugeri.
Ancillary study of ISMETT: Approval Number: IRRB/16/22; Board Name: Comitato Etico IRCCS Sicilia.
Ancillary study of San Martino: Approval Number: 173/2021; Board Name: Comitato Etico Regionale della Liguria.
Ancillary study of Ca' Granda: Approval Number: 887_2020; Board Name: Comitato Etico Milano Area 2.
Ancillary study of Gemelli: Approval Number: 3614; Board Name: Comitato Etico della Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore.
Ancillary study of San Matteo: Approval Number: 2022-3.11/91 and 2022-3.11/493; Board Name: Comitato Etico Pavia.
Ancillary studiy of San Raffaele Roma: Approval Number: 21/21; Board Name: Comitato Etico IRCCS San Raffale Roma.
Update on Study Progress and Power Analysis: In its original design, the CV-PREVITAL study aimed to enrol approximately 80,000 subjects aged ≥45 years with no previous cardiovascular events. These participants were intended to be recruited from general practice clinics, pharmacies, or clinics of Scientific Institutes for Research, Hospitalization and Health Care (IRCCS). However, due to the challenges posed by the COVID-19 pandemic, which has fully engaged all parties involved in the study (primarily general practitioners, pharmacists, and IRCCS physicians), the planned activities of the study have been significantly delayed, especially in terms of participant enrollment. Despite these challenges, the study successfully recruited around 28,000 subjects, which is expected to be a sufficient number for evaluating the short-term primary endpoint. Specifically, to assess the short-term primary endpoint, a sample size of N=7895 per treatment arm is required, assuming a significance level of 0.05 and a power of 90%. Therefore, if the target of 16,000 subjects with completed follow-up is achieved, the study will have adequate power to reach the short-term primary endpoint. The estimation of the statistical power for the long-term endpoint will be carried out at the conclusion of the 7-year follow-up period when data regarding the actual dropout rate become available.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Patients will be randomized in two parallel groups:" intervention group" and "usual care". In the setting of general medicine, the procedure randomises the general practitioners (GPs) assuring that in each recruiting centre the number of GPs assigned to the control group (usual care) is balanced with that assigned to the intervention group. In the setting of community pharmacies, the procedure randomises the pharmacies assuring that in each geographic area the number of pharmacies assigned to the control group and is balanced with that assigned to the intervention group. In the setting of IRCCS the procedure directly randomises the patients.
| Arm | Type | Receives |
|---|---|---|
| Control group | No intervention | –Subjects monitored following usual-care. |
| Intervention group | Experimental | Other: Mobile health applicationSubjects in the intervention group, in addition to usual-care, will download a mHealth App that contains educational information promoting healthy lifestyle behaviours. The participant will be also able to self-monitor his/her clinical status regarding hypertension, diabetes or hypercholesterolemia. |
Who may qualify
- Ages
- 45 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Subjects aged ≥ 45 years
- Have given their consent to participate in the study
- Subjects who have a smartphone
Key exclusion criteria (3 listed)
- Current or previous cardiovascular disease (personal history of myocardial infarction, angina pectoris, arterial revascularization procedures, stroke, TIA, peripheral artery disease)
- Psychiatric disorders
- Participation in other clinical trials
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Mobile health applicationAlso: mHealth appThe mHealth app delivers a personalized support program of digital health. Specifically, using ad hoc designed algorithms which uses the data self-reported by the subject and/or collected by the recruiter at baseline, the App delivers periodic messages with advice, motivational reminders and support to improve lifestyle habits and risk factor control. | Other | Intervention group |
Primary outcome
Cardiovascular risk as assessed by Modified Moli-Sani risk score in the Italian population
Time frame: 12 months
A score (modified Moli-Sani Risk Score) developed in the Italian population is used to analyze the efficacy of the intervention at 12 months. The risk score includes of blood pressure, HDL, LDL, triglyceride, blood glucose, overweight, physical activity, adhesion to Mediterranean diet and cigarette smoking. The modified Moli-Sani Risk Score may range from 0 to 100 and higher scores means higher risk. A 10% improvement in score between the baseline and final visit in the intervention group compared with the control group is assumed as indicator of intervention effectiveness.
Long-term CV clinical outcome at 7 years follow-up
Time frame: 7 years
Incidence of a composite outcome including myocardial infarction (MI), stroke, transient ischemic attack (TIA), peripheral artery disease or CV death. In case of multiple vascular events only the first is used in the analyses of composite outcome, whereas the specific outcome (e.g. MI or stroke) is used when the sub-analyses focused on cardio- or cerebrovascular events are run.
34 secondary outcomes
Change of a combined endpoint including hypertension, diabetes, hypercholesterolemia
Time frame: 12 months
Systolic and diastolic blood pressure (mmHg)
Time frame: 12 months
HDL-C, LDL-C, and triglycerides (mg/dL)
Time frame: 12 months
HbA1c (%)
Time frame: 12 months
Body weight (kg)
Time frame: 12 months
Physical activity (IPAQ questionnaire)
Time frame: 12 months
Mediterranean diet adherence (PREDIMED questionnaire)
Time frame: 12 months
Mediterranean diet adherence (Moli-Sani questionnaire)
Time frame: 12 months
Smoking status
Time frame: 12 months
Alcohol intake
Time frame: 12 months
Salt intake (MiniSal questionnaire)
Time frame: 12 months
Stress (Perceived Stress Scale; PSS)
Time frame: 12 months
Psychological distress (PHQ 4 questionnaire)
Time frame: 12 months
Anxiety (PHQ 4 questionnaire)
Time frame: 12 months
Depression (PHQ 4 questionnaire)
Time frame: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Internality
Time frame: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Powerful Others Externality
Time frame: 12 months
Multidimensional Health Locus of Control Scale (MHLCS) - Chance Externality
Time frame: 12 months
General Self Efficacy (GSE Scale)
Time frame: 12 months
Risk propensity (RPS Scale)
Time frame: 12 months
Sleep quality (Pittsburgh Sleep Quality Index)
Time frame: 12 months
Subjects' adherence to data recording
Time frame: 12 months
Interruptions in the use of the mHealth App
Time frame: 12 months
Adherence to recommended therapies
Time frame: 12 months
Cost/effectiveness of intervention
Time frame: 7 years
House ownership as socioeconomic status indicator
Time frame: 7 years
Type of residence as socioeconomic status indicator
Time frame: 7 years
Education as socioeconomic status indicator
Time frame: 7 years
Employment status as socioeconomic status indicator
Time frame: 7 years
Type of profession as socioeconomic status indicator
Time frame: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of hospitalization (questionnaire)
Time frame: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of symptoms (questionnaire)
Time frame: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of asymptomatic disease (questionnaire)
Time frame: 7 years
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - history of vaccination (questionnaire)
Time frame: 7 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Apr 2025.
- Derived from this study: PubMed 37451717Baldassarre D, Iacoviello L, Baetta R, Roncaglioni MC, Condorelli G, Remuzzi G, Gensini G, Frati L, Ricciardi W, Conaldi PG, Uccelli A, Blandini F, Bosari S, Scambia G, Fini M, Di Malta A, Amato M, Veglia F, Bonomi A, Klersy C, Colazzo F, Pengo M, Gorini F, Auteri L, Ferrante G, Baviera M, Ambrosio G, Catapano A, Gialluisi A, Malavazos AE, Castelvecchio S, Corsi-Romanelli MM, Cardani R, La Rovere MT, Agnese V, Pane B, Prati D, Spinardi L, Liuzzo G, Arbustini E, Volterrani M, Visconti M, Werba JP, Genovese S, Bilo G, Invitti C, Di Blasio A, Lombardi C, Faini A, Rosa D, Ojeda-Fernandez L, Foresta A, De Curtis A, Di Castelnuovo A, Scalvini S, Pierobon A, Gorini A, Valenti L, Luzi L, Racca A, Bandi M, Tremoli E, Menicanti L, Parati G, Pompilio G; CV-PREVITAL Study Group. Rationale and design of the CV-PREVITAL study: an Italian multiple cohort randomised controlled trial investigating innovative digital strategies in primary cardiovascular prevention. BMJ Open. 2023 Jul 14;13(7):e072040. doi: 10.1136/bmjopen-2023-072040.
- Individual participant dataSharing planned: Undecided. The IPD sharing plan is under definition
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Giulio Pompilio, Professor principal investigator
Centro Cardiologico Monzino IRCCS
Gianfranco Parati, Professor principal investigator
Istituto Auxologico Italiano IRCCS
32 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Mobile health application in people with Healthy Population, run by Centro Cardiologico Monzino at 32 sites in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 4 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 32 sites in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Cardiovascular risk as assessed by Modified Moli-Sani risk score in the Italian population (time frame: 12 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05339841, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Apr 2025.