Prehypertension
Conditions
Interventions
A sample of 300 individuals (aged 25 to 55) of both genders will undergo morphological, behavioral, biochemical, and physiological assessments. The real data will be augmented using a synthetic base.
V03.175.500
Sponsors
Centro Acadêmico de Vitória - Universidade Federal de Pernambuco
Centro Acadêmico de Vitória - Universidade Federal de Pernambuco
Eligibility
Age
25 Years to 55 Years
Inclusion criteria
Inclusion criteria: Adult individuals aged between 25 and 55 years old, of both genders, with preclinical or clinical diagnosis of cardiovascular disease (type 2 diabetes and hypertension), may present with comorbidities such as dyslipidemia or overweight and obesity. Control group – adult individuals aged between 25 years and 55 years old, of both genders, with no cardiovascular diagnosis
Exclusion criteria
Exclusion criteria: Individuals who are hospitalized or in the acute phase of the disease; who present any motor impairment; or who refuse to sign the Informed Consent Form
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To develop clusters of morphological, behavioral, biochemical, and physiological indicators for the preclinical diagnosis of cardiovascular diseases. Biological signals will be captured using a device (ear thermometer prototype) and analyzed through geometric and spectral topology approaches, based on the intrinsic properties of complex networks. | — |
Secondary
| Measure | Time frame |
|---|---|
| Develop three types of multidimensional complex networks for each individual in our dataset and complex networks for the groups, enabling both individual and global spectral analysis. ;Identify differences in the spectra between these sets to understand how geometry and topology change among groups. This allows the unique characterization of an individual based on their spectrum and determines how distant they are from groups with comorbidities.;Construct multidimensional objects formed by triplets of strongly correlated variables within both developed complex networks, referred to as “triplets”, which can be dynamically used to assess whether we are moving closer to or farther from potential CVD indicators. | — |
Countries
Brazil, France, Mozambique
Contacts
Public ContactCarol Virgínia Góis Leandro
Universidade Federal de Pernambuco
Outcome results
None listed