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ISSN 1561-3011 (Electronic)

2016, Number 2

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Rev Cubana Invest Bioméd 2016; 35 (2)

Mathematical diagnosis of cardiac dynamics and evaluation of hemodynamic variables in the intensive care unit

Rodríguez VJO, Prieto BSE, Correa HSC, Oliveros RH, Soracipa MMY

Language: Spanish
References: 42
Page: 158-173
PDF size: 357.48 Kb.


ABSTRACT

Introduction: Based on dynamic systems, a diagnosis was developed of cardiac dynamics with clinical application in 16 h for patients in intensive care units.
Objectives: Confirm the diagnostic capacity of the new cardiac dynamics evaluation methodology in 16 h and determine the evolution of oxygen and carbon dioxide arterial and venous pressure.
Methods: A study was conducted of 50 dynamics, 10 of them normal and 40 with acute pathologies. Measurements were taken of minimum and maximum heart rate and number of beats every hour. Attractors were developed and an evaluation was performed of occupation spaces and fractal dimension in 16 and 21 h. A comparison was made of the two physical-mathematical diagnoses. Confirmation was then carried out of the diagnosis established in 16 h by means of a blind comparison with the conventional diagnosis. Oxygen and carbon dioxide arterial and venous pressure values were taken from 7 intensive care unit patients to develop chaotic attractors and evaluate the minimum and maximum values for the attractor on the retardation map.
Results: Confirmation was made of the diagnostic capacity of the 16-h methodology for cardiac dynamics, with 100% sensitivity and specificity and a kappa coefficient of one with respect to conventional diagnosis. Minimum and maximum values for attractors of oxygen and carbon dioxide arterial and venous pressure ranged between 29.60 and 194.40, 24.20 and 56.10, 16.40 and 65.60, and 21.40 and 97.90.
Conclusions: Diagnostic predictions were confirmed in 16 h and a differentiation was made between normality, chronic disease and acute disease, useful for the clinical follow-up of intensive care unit patients. Variables displayed chaotic behavior. These results could serve as foundation for clinical applications and mortality predictions.


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