Using of Data Mining methods to evaluate the myocardial damage in children with juvenile idiopathic arthritis

Chaikovsky, Illya; Oshlianska, Olena; Artsymovych, Agar; Kryvova, Olga; Kovalenko, O. N.; Стаднюк, Л.А.

doi:10.1109/elnano50318.2020.9088843

Cited by 3 publications

(3 citation statements)

References 10 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

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show abstract

“…In addition, a number of other parameters were identified, the difference between which in the clusters was highly reliable, including in-depth ECG analysis (p = 0.02), 3D QRS angle and a complex indicator of myocardial status. When calculating the significance of the difference between the A-ECG parameters previously assessed as the most significant (28) , in all cases, the indicators in patients with JIA who carried more mutant genes of proinflammatory cytokines (IL6 and TNF-α) were notably worse (T amplitude in lead I, the area T in lead I and the amplitude-areas index in lead II). Summarising the above, it should be noted that allelic gene polymorphism certainly affects the structure and functional properties of proinflammatory cytokines in patients with JIA.…”

Section: Discussionmentioning

confidence: 99%

“…After calculating all the parameters, they automatically formed generalised indices that reflected the state of individual structures. The most relevant clinical indicators were previously identified using cluster analysis and decision-making algorithms (28) . In addition to the general clinical examination, the patients were evaluated to determine the alleles of the TNF-α (G308A) and IL6 (G174C) genes by polymerase chain reaction (PCR) using specific oligonucleotide primers (Metabion, Germany), which was followed by an analysis of polymorphism of restriction fragments; the serum levels of IL6 and TNF-α were determined by chemiluminescence and electrochemiluminescence.…”

Section: Introductionmentioning

confidence: 99%

Possibilities of using determination of allelic polymorphism of interleukin-6 G174C and tumour necrosis factor-α G308A genes for the prediction of cardiovascular disorders in children with juvenile idiopathic arthritis

Artsymovych¹,

Oshlyanska²,

Оkhotnikova³

et al. 2022

Pediatr Med Rodz

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Objectives: Juvenile idiopathic arthritis is a chronic disease that affects the synovial membrane of the joints, but can also lead to secondary lesions of the cardiovascular system. The most important mechanism of myocardial damage is associated with the effect of proinflammatory cytokines. The aim of the study was to propose a method of early detection of cardiovascular system changes and lesions in patients with juvenile idiopathic arthritis based on the determination of allelic polymorphism combined with electrocardiography data. Materials and methods: 102 patients with juvenile idiopathic arthritis underwent a general clinical examination. The overall activity of juvenile idiopathic arthritis was assessed using the Juvenile Arthritis Disease Activity Score. In addition, the patients underwent an electrocardiographic evaluation using the software and hardware complex “Cardioplus P,” which is a portable electrocardiograph providing “signal-averaged” electrocardiography performing the recognition and measurement of amplitude-time parameters, and calculation of secondary electrocardiography parameters. The genotypes of patients were additionally determined by alleles of the TNF-α (G308A) and IL6 (G174C) genes by polymerase chain reaction. Results: The overall number of mutations affects the course of the disease, with two or more mutations being associated with a more aggressive course of the disease, a more pronounced degree of inflammation, and a higher frequency of extra-articular lesions. The complex indicator of the functional state of the myocardium according to the electrocardiography data differed significantly (p = 0.00001) in clusters. Conclusion: Patients with juvenile idiopathic arthritis with two or more mutations in different genes of proinflammatory cytokines have a higher activity of the inflammatory process and a higher frequency of cardiovascular changes according to 4th generation electrocardiography. The determination of polymorphism may be useful in evaluating the risk of development of cardiovascular system abnormalities.

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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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Using of Data Mining methods to evaluate the myocardial damage in children with juvenile idiopathic arthritis

Cited by 3 publications

References 10 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

Possibilities of using determination of allelic polymorphism of interleukin-6 G174C and tumour necrosis factor-α G308A genes for the prediction of cardiovascular disorders in children with juvenile idiopathic arthritis

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

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