[Adaptive processes in heart failure (correlation and recombination)]

Area of Science:

• Cardiology
• Pathophysiology
• Forensic Medicine

Background:

• Heart failure significantly alters cardiac structure and function.
• Understanding organometric parameter relationships is crucial for diagnosing and managing heart conditions.
• Previous research has not extensively explored correlative links between various heart measurements in different failure stages.

Purpose of the Study:

• To comparatively analyze the relationships between linear, planimetrical, volume, and weight parameters of the heart.
• To investigate these relationships in patients with chronic heart failure, acute heart failure, without heart failure, and in healthy individuals post-violence.
• To interpret the findings based on D.S. Sarkisov's recombination theory.

Main Methods:

• Comparative analysis of heart organometric parameters.
• Inclusion of patient groups: chronic heart failure, acute heart failure, no heart failure, and healthy victims of violence.
• Statistical correlation analysis of linear, planimetrical, volume, and weight measurements.

Main Results:

• Patients without heart failure exhibited the fewest correlative links between organometric parameters.
• Patients with chronic heart failure (stage II) and those deceased from violence showed the greatest number of correlative links.
• A distinct pattern of inter-parameter relationships was observed across the different study groups.

Conclusions:

• The degree of correlative links between heart organometric parameters varies significantly with heart failure status and cause of death.
• Findings support the application of D.S. Sarkisov's recombination theory in understanding cardiac pathophysiology.
• Further research is warranted to elucidate the clinical implications of these organometric relationships in heart failure.