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Прогнозування перебігу мієлодиспластичного синдрому

Прогнозування перебігу мієлодиспластичного синдрому

Abstract

Разработан индекс прогнозирования течения миелодиспластического синдрома (ІП мдс), позволяющий прогнозировать течение заболевания и оценить возможность развития неблагоприятного прогноза для данной категории больных с вероятностью 99,7 %. Вероятность минимально неблагоприятного прогноза для больных с МДС составляет 40,0 %. Относительные риски (RR) летального исхода в течение 2,5 лет наблюдения для больных с МДС находятся в пределах от 4,47 до 6,14. Разработанные математические модели (классификационные функции) дают возможность прогнозировать виживаемость больных с МДС с учетом наличия в анамнезе влияния ионизирующего излучения.Prognostic index for myelodysplastic syndrome (MDS) (ІP mds) which allows to make prognosis of clinical course of the disease and to estimate negative prognosis for such category of patients with probability level – 99,7% was elaborated. The probability level of minimal negative prognosis for MDS patients is 40,0 %. Relative risks (RR) of mortal outcome during 2,5 years of monitoring for these patients is in the range from 4,47 tо 6,14. Developed mathematic models (linear functions) allow to prognosticate survival for patients with MDS taking into account exposure to radiation in anamnesis.

Keywords

іНДЕКС ПРОГНОЗУВАННЯ, КРИТЕРіЙ, КЛАСИФіКАЦіЙНА ФУНКЦіЯ, МієЛОДИСПЛАСТИЧНИЙ СИНДРОМ, іОНіЗУЮЧЕ ВИПРОМіНЮВАННЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold