Development of a mathematical model for predicting postoperative pain among patients with limb injuries

Authors

  • Marine Georgiyants Kharkiv Medical Academy of Postgraduate Education Amosova str., 58, Kharkіv, Ukraine, 61176, Ukraine https://orcid.org/0000-0002-1373-7840
  • Oleksandr Khvysyuk Kharkiv Medical academy of Postgraduate Education Amosova str., 58, Kharkіv, Ukraine, 61176, Ukraine
  • Natalіya Boguslavskaуa Kharkiv Regional Clinical Traumatological Hospital Saltovskoe highway, 266, Kharkiv, Ukraine, 61176, Ukraine
  • Olena Vysotska Kharkiv National University of Radio Electronics Nauki ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0003-3723-9771
  • Anna Pecherska Kharkiv National University of Radio Electronics Nauki ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0001-7069-0674

DOI:

https://doi.org/10.15587/1729-4061.2017.95157

Keywords:

postoperative pain, limb injury, patients of young age, anesthesia, prediction, logistic regression

Abstract

A mathematical model is devised to predict the probability of development of postoperative pain among patients of young age, operated on in a planned manner for the limb injuries. As the model predictors we selected: the level of pain before operation, determined by the visual analog scale, result of evaluation of cognitive abilities by the Montreal scale and level of the mean blood pressure. The application of the developed model makes it possible to improve quality of providing the patients with anesthesiological assistance. The results obtained might be used in the development of information decision support system for a physician-anaesthesiologist for the objectification and automation of the process for determining the probability of development of postoperative pain syndrome. The introduction of such a system into clinical practice will make it possible to reduce the load on the medical staff and decrease the amount of anaesthetising preparations for patients, whose value of the level of pain before operation, determined by the visual analog scale after the operation, does not exceed 3 points, as well as to conduct more adequate analgesia among patients with a higher value of this indicator.

Author Biographies

Marine Georgiyants, Kharkiv Medical Academy of Postgraduate Education Amosova str., 58, Kharkіv, Ukraine, 61176

MD, Professor

Department of Pediatrics Anesthesiology and Intensive Therapy

Oleksandr Khvysyuk, Kharkiv Medical academy of Postgraduate Education Amosova str., 58, Kharkіv, Ukraine, 61176

MD, Professor, Rector

Department of Traumatology, Anesthesiology and Military Surgery

Natalіya Boguslavskaуa, Kharkiv Regional Clinical Traumatological Hospital Saltovskoe highway, 266, Kharkiv, Ukraine, 61176

Anesthesiologist

Department of Anesthesiology and Intensive Care

Olena Vysotska, Kharkiv National University of Radio Electronics Nauki ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor

Department of Biomedical Engineering

Anna Pecherska, Kharkiv National University of Radio Electronics Nauki ave., 14, Kharkiv, Ukraine, 61166

PhD, Researcher

Department of Biomedical Engineering

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Published

2017-04-24

How to Cite

Georgiyants, M., Khvysyuk, O., Boguslavskaуa N., Vysotska, O., & Pecherska, A. (2017). Development of a mathematical model for predicting postoperative pain among patients with limb injuries. Eastern-European Journal of Enterprise Technologies, 2(4 (86), 4–9. https://doi.org/10.15587/1729-4061.2017.95157

Issue

Section

Mathematics and Cybernetics - applied aspects