Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ RUDN Journal of Medi...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Анализ отдаленного прогноза показателей дисперсионного картирования у больных с кардиальной патологией

Анализ отдаленного прогноза показателей дисперсионного картирования у больных с кардиальной патологией

Abstract

Целью исследования явилась оценка использования показателей дисперсионного картирования при долгосрочном прогнозе развития нежелательных сердечно-сосудистых событий у пациентов c кардиальной патологией. В исследование были включены данные 217 человек, у которых проводилось наблюдение с использованием коротких записей в динамике на протяжении года (зима, весна, лето и осень). 1-я группа представлена 64 больным артериальной гипертонией, во 2-ю группу включено 44 больных с ишемической болезнью сердца, в 3-ю 30 больных с кардиомиопатией и в 4-ю группу 28 больных с ИБС и сахарным диабетом. Контрольную группу составили 51 условно здоровых лиц (18 мужчин и 33 женщины) в возрасте от 29 до 53 лет Величина фракции выброса была выше в группе выживших (54,6 ± 0,5%) по сравнению с группой с неблагоприятным исходом (33,8 ± 2,2%). Средние значения всех представленных показателей дисперсионного картирования были выше в группе с летальным исходом за исключением индекса ЧСС/ИММ, что свидетельствует о более выраженных нарушениях. Обращает на себя внимание повышение в 2 раза показателя альтернации Т зубца в точках Т 1( t начало) и Т 2( t максимум). Показатели чувствительности и специфичности прогноза летального исхода на протяжении 3-летнего наблюдения для показателя ИММ > 25% составили 54% и 61%.

Purpose: to evaluate the use of indicators of dispersion mapping for the long-term prediction of adverse cardiovascular events in patients with cardiovascular diseases (CVD). The study included data of 217 people with using short recordings in dynamics throughout the year (winter, spring, summer and autumn). The 1 st group consists of 64 patients with hypertension, the 2 nd group 44 patients with coronary heart disease, the 3rd 30 patients with cardiomyopathy and in the 4 th group of 28 patients with coronary artery disease and diabetes mellitus. The control group consisted of 51 healthy individuals (18 men and 33 women) ranging in age from 29 to 53 years. Cardiac output was higher in the group of survivors (54,6 ± 0,5%) compared with the group with unfavorable outcome (33,8 ± 2,2%). The average values of all the indicators of dispersion mapping were higher in the group of death with the exception of heart rate index/IMM, indicating more severe violations. Noteworthy increase in 2 times the rate of alterative T wave at tT1 (Tbig) and T2 (Tmax) points. The sensitivity and specificity of the prediction of fatal outcome during 3 years of observation for record IMM > 25% was 54% and 61%.

Keywords

ДИСПЕРСИОННОЕ КАРТИРОВАНИЕ ЭКГ,ИЗМЕНЕНИЯ ЭЛЕКТРОФИЗИОЛОГИЧЕСКИХ СВОЙСТВ МИОКАРДА,СЕРДЕЧНОСОСУДИСТЫЕ ЗАБОЛЕВАНИЯ,ОТДАЛЕННЫЙ ПРОГНОЗ,ECG DISPERSION MAPPING,CHANGES IN THE ELECTROPHYSIOLOGICAL PROPERTIES OF THE MYOCARDIUM,ALCOHOL,CARDIOVASCULAR DISEASE,REMOTE FORECAST

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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