GW29-e0521 Adaptation of cardiovascular system to work in the night shifts of doctors and nurses

Apykhtin, Konstantin; Chaikovsky, Illya; Yaroslavska, Svetlana; Starynska, Anna; Stadnyk, Leonid

doi:10.1016/j.jacc.2018.08.1056

Cited by 2 publications

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“…This study and our previous works showed that the combination of ECG and HRV parameters has the best diagnostic value [30][31][32][33][34][35].…”

Section: Discussionsupporting

confidence: 67%

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Chaikovsky,

Dziuba,

Kryvova

et al. 2024

Preprint

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Background Two years after the COVID-19 pandemic, it became known that one of the complications of this disease is myocardial injury. Electrocardiography (ECG) and cardiac biomarkers play a vital role in the early detection of cardiovascular complications and risk stratification. The study aimed to investigate the value of a new electrocardiographic metric for detecting subtle myocardial injury in patients during COVID-19 treatment. Methods The study was conducted in 2021. A group of 26 patients with verified COVID-19 diagnosis admitted to the intensive care unit for infectious diseases was examined. The severity of a patient's condition was calculated using the NEWS score. The digital ECGs were repeatedly recorded (at the beginning and 2 to 4 times during the treatment). 240 primary and composite ECG parameters were analyzed for each electrocardiogram. Among these patients, 6 patients died during treatment. Cluster analysis was used to identify subgroups of patients that differed significantly in terms of disease severity (NEWS), SрО2and integral ECG index (an indicator of the state of the cardiovascular system). Results Using analysis of variance (ANOVA repeated measures), a statistical assessment of changes of indicators in subgroups at the end of treatment was given. These subgroup differences persisted at the end of the treatment. To identify potential predictors of mortality, critical clinical and ECG parameters of surviving(S) and non-surviving patients (D) were compared using parametric and non-parametric statistical tests. A decision tree model to classify survival in patients with COVID-19 was constructed based on partial ECG parameters and NEWS score. Conclusions A comparison of potential mortality predictors showed no significant differences in vital signs between survivors and non-survivors at the beginning of treatment. A set of ECG parameters was identified that were significantly associated with treatment outcomes and may be predictors of COVID-19 mortality: T-wave morphology (SVD), Q-wave amplitude, and R-wave amplitude (lead I).

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“…This study and our previous works showed that the combination of ECG and HRV parameters has the best diagnostic value [30][31][32][33][34][35].…”

Section: Discussionsupporting

confidence: 67%

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Chaikovsky,

Dziuba,

Kryvova

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…Запропонований метод шкалювання винайдений саме для вирішення практичних задач і вже знаходить досить широке застосування в Україні та за кордоном [18][19][20][21] для вирішення низки різноманітних завдань у різних розділах клінічної, спортивної медицини, медицини праці, а також у масштабних популяційних дослідженнях [22]. Метод шкалювання ЕКГ, що розроблено, застосовується і при аналізі великого масиву електрокардіографічних даних у рамках дослідження Інституту популяційного здоров'я Університету Оксфорда [23].…”

Section: принципи інноваційної методики шкалювання електрокардіограми та варіабельності ритму серця для виявлення малих змінunclassified

Оцінка Пошкодження Міокарда Під Час Стентування Коронарних Артерій За Даними Аналізу Тонких Змін Електрокардіограми Та Варіабельності Серцевого Ритму

Syvoraksha¹,

Chaikovskyi²,

Antoniuk³

et al. 2021

ЕМ

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Background. With every passing year, the morta-lity from cardiovascular diseases is increasing. One of the treatment methods is X-ray endovascular plasty and coronary sten-ting. However, the X-ray endovascular plasty by itself inevitably causes at least minimal impairment of coronary vessels and myocardium. The study aimed at the assessment of small electrocardiography changes using an original method of scaling immediately after the procedure of coronary stenting. Materials and methods. The study was performed in 2020 based on ES “Institute of Heart of MH of Ukraine”. Twenty-three patients were examined before coronary stenting. This investigation included pair measurements, particularly electrocardiography registration within 3 min before and after (in several hours) the surgical intervention. The examination was performed using hardware-software complex “Cardio+P”. Total of 23 pairs of electrocardiograms were analyzed. Two hundred and forty primary and measurement parameters of electrocardiography were analyzed in each electrocardiogram. Results. The results of electrocardiographic investigation allowed determining a subgroup with significant myocardium impairments. This subgroup included the patients elder compared to the rest patients. In this subgroup, the average number of stents was higher and the patients demonstrated worsened index of the psychoemotional condition along with the electrocardiogram changes.

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GW29-e0521 Adaptation of cardiovascular system to work in the night shifts of doctors and nurses

Cited by 2 publications

References 0 publications

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Оцінка Пошкодження Міокарда Під Час Стентування Коронарних Артерій За Даними Аналізу Тонких Змін Електрокардіограми Та Варіабельності Серцевого Ритму

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