Mathematical model for the prediction of high blood pressure through digital dermatoglyphics

Abstract

Abstract Background Hypertension is considered not only a disease belonging to the large group of cardiovascular conditions, but also a risk factor that impacts at an economic, social, environmental, and cultural level, among others. Worldwide, it is recognized that arterial hypertension is increasing, with projections that estimate a 30% increase in prevalence by the year 2025. Objective. To develop a mathematical model for the prediction of high blood pressure in young people through digital dermatoglyphics. Methods This study was carried out in a sequence of three activities, which included in the first instance the collection and analysis of all the fingerprints of the upper limbs of each study participant with an image recognition device, to later carry out a characterization. in terms of number and type of footprint on each of the participants’ fingers. Subsequently, a multiple linear regression model was carried out for the right and left hand, which includes information on the type of footprint, number of relevant characteristics and other physical characteristics of everyone with which it is possible to determine an expected value of the pressure. diastolic and systolic arterial pressure, a model that was validated through the estimation of different types of error, the correlation coefficient, and the tracking signal, in a contrast between predicted and observed blood pressure in a second control sample with different participants. those used in the formulation of the mathematical model. Results The model had a significant R-square, allowing to establish a relationship of similarity and explanation of the blood pressure values, from the quantification of the characteristics of the fingerprints of the right and left hand with a significance level of 95%. Conclusions An important advance is presented for the prediction of high blood pressure through genetic markers with a non-invasive and low-cost method. Key messages • This type of research allows progress in the establishment of relationships between the subject's genetic conditions and the potential risk for the development of diseases. • Biotechnology is currently presented as a tool that contributes to the challenges that are generated in different areas such as the health sector.