Diagnostic Algorithm for Detecting Cardiovascular Pathology in Deep-Naked Children

Main article: Premature birth

2021: Announcement of diagnostic algorithm for detection of cardiovascular pathology in deep-naked children

On September 28, 2021, Perm Politech announced a diagnostic algorithm for detecting the pathology of the cardiovascular system in deep-worn children.

Perm Politech

As reported, every year about 12.9 million babies in the world are born ahead of schedule. Of these, about a million die within a month of birth due to complications. In order to take timely measures, neonatologists and pediatric cardiac surgeons need to promptly diagnose diseases. Scientists of Perm Polytechnic, PGMU named after Academician E.A. Wagner and the Federal Center for Cardiovascular Surgery named after S.G. Sukhanov developed a diagnostic algorithm based on computational mathematics methods that will identify the pathologies of the cardiovascular system in deeply intact children and predict their development. Scientists published the results of the study in the Journal of Clinical Medicine, which is part of the 1st quartile. The development was implemented with the support of RFFI together with the Perm world-class NOC "Rational Subsoil Use."

Premature birth - as of 2021, the cause of almost half of all neonatal deaths in the world and the second most important cause of death of children under 5 years old. The peculiarity of the state of health of premature babies is that their organs and systems are not prepared for out-of-womb living conditions. An important problem is the functioning arterial duct, which indicates the immaturity of the cardiovascular system. In this case, a large volume of blood is discharged through the vessel, and this affects the health of the newborn. said Alexey Kuchumov, associate professor of the Department of Computational Mathematics, Mechanics and Biomechanics, Perm Polytechnic, Ph.D.

By the 4th day of life in newborns with a body weight of 1.5-2 kg, the duct closes in 93% of cases. In preterm patients who weigh less than 1.2 kg, this disease occurs in 85% of cases. It can lead to consequences such as damage to the heart, lungs, brain, eyes, intestines and kidneys. The "open" arterial duct increases severe morbidity and mortality by 3 times. As the age of the child increases, drug treatment becomes less effective, in which case surgery is carried out. Therefore, it is extremely important to diagnose the disease quickly: according to scientists, if treatment is carried out on the first day after birth, then it is possible to achieve duct closure in 85% of patients.

To detect the disease, it is used echocardiography with color dopplerography, but diagnosis is not always possible in a timely manner. In our opinion, it is important to identify additional "signals" of the disease. These include the level of natriuretic peptide - an indicator of heart failure. This test is 10 times cheaper than echocardiography and happens faster. said Artem Rodobikov, surgeon of the S.G. Sukhanova Federal Center for Cardiovascular Surgery, Ph.D.

Developers from Perm Polytechnic and colleagues for the first time created a single algorithm for diagnosing the functioning blood duct. It is based on a generalization of risk factors, echocardiography data, and natriuretic peptide levels. The development was implemented in the form of a software product.

Alexey Kuchumov, Anna Permyakova and Artem Rodobikov

Our study includes analysis of 40 clinical, laboratory, instrumental and anamnestic factors of a child's condition with congenital heart disease. We identified three factors that affect the development of the pathology of the cardiovascular system: the level of natriuretic peptide, indicators of assessing the health of the newborn at the 5th minute of life and the scale of assessing the severity of his respiratory disorders. The software product will predict how the disease will develop. This will help practitioners take the necessary measures in time. told Anna Permyakova, Associate Professor, Department of Pediatric Infectious Diseases, PMU named after E.A. Wagner, Ph.D. medical