PERSONALIZED CALCULATOR FOR PREDICTION OF OPIOID-ASSOCIATED PHARMACORESISTANCE IN PATIENTS WITH PAN CREASE CANCER

We studied the complex effect of genetic and non-genetic factors on the formation of opioid-associated resistance using machine learning methods in patients with chronic pain syndrome against the background of pancreatic cancer. Fifty-seven factors for predicting the realization of pharmacoresistance were studied in all examined Caucasian patients. The most significant predictive factors were determined and a software-analytical complex "Algorithm for assessing the significance of clinical and pathogenetic factors for predicting the safety of opioid therapy" was developed.

Авторы
Bobrova O.1 , Zyryanov S. 2 , Shnayder N.1, 3 , Petrova M. 1
Журнал
Издательство
European Scientific Society
Номер выпуска
4
Язык
Английский
Страницы
20-22
Статус
Опубликовано
Том
10
Год
2020
Организации
  • 1 VF Voino Yasenetsky Krasnoyarsk State Med Univ, Krasnoyarsk, Russia
  • 2 Peoples Friendship Univ Russia, Moscow, Russia
  • 3 VM Bekhterev Natl Med Res Ctr Psychiat & Neurol, St Petersburg, Russia
Ключевые слова
chronic pain syndrome; pancreas cancer; pharmacoresistance, fentanyl TTS; forecasting
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