Background. Children’s body weight is the predictor of pathologic elevation of arterial blood pressure (ABP) in adult life. The aim of the study is to divide the data on body weight and ABP in adolescents and to find correlations between them. Methods. The randomised study of 11 and 15 years old pupils from general education institutions was carried out. The 16 months research was executed in 9 different regions of the country (one region from every federal district and 5 schools (with juniors and seniors) in each were randomly selected). In addition to measurement of ABP (three times by Korotkov’s method) and body weight (using general bathroom scales) all children were examined by the group of pediatric specialists (pediatrician, gastroenterologist, allergologist, otolaryngologist, ophthalmologist, neurologist, psychologist, cognitive specialist, orthopedic traumatologists, nephrologist, ultrasound and laboratory diagnostic specialist).Results. The study included 1911 teenagers. The correlation (p<0,010 for all groups) between systolic/diastolic blood pressure and body weight was revealed in group of boys at the age of 11 (r=0,394/0,206) and 15 (r=0,231/0,185) years old and in group of girls of the same age age (r=0,330/0,227 and r=0.228/0.148 respectively). Conclusion. The significant correlation between body weight and levels of systolic and diastolic blood pressure in 11 and 15 years old children has been revealed.
Objective. To analyze clinical and instrumental characteristics of sleep disorders in children with cardiomyopathies (CMPs). Patients and methods. We performed retrospective analysis of clinical, laboratory, and instrumental parameters in 107 children with CMPs aged 2 to 17 years treated in the National Medical Research Center of Children's Health in 2018–2019. The study sample was formed in accordance with inclusion criteria (confirmed diagnosis of CMP with functional class I or II, NYHA or Ross R.D.) and exclusion criteria (age <2 years, other heart and vascular diseases). We enrolled 26 children with hypertrophic CMP, 63 children with dilated CMP, and 18 children with unclassified CMP. According to the signs of sleep disorders (from sleep questionnaires filled in by parents), we formed 3 groups: patients with no sleep disorders (n = 40), patients with symptoms of insomnia/parasomnia (n = 26), and patients with indirect and/or direct signs of sleep apnea syndrome (SAS). We analyzed patients’ complaints, as well as clinical, instrumental (liver ultrasound, echocardiography, Holter ECG), and laboratory (glucose, cholesterol, alanine aminotransferase, and aspartate aminotransferase in serum) parameters. Results. Sleep disorders were identified in 63% of children: 58% had signs of insomnia/parasomnia and 38% had signs of SAS. In contrast to the questionnaires, medical records had information about sleep disorders only in two cases. Medical records primarily contained complaints of fatigue and reduced tolerance to physical activity (73%), excessive sweating (23%), and shortness of breath (17%). Patients with SAS usually had more complaints (according to their medical records), and their complaints were more diverse, including abnormal blood pressure, cephalgia, palpitations, and syncope. Body mass index (BMI) (p = 0.001) and serum glucose (p = 0.001) were higher in children with SAS than in children with normal sleep. Even after the exclusion of BMI, glucose levels (although being within the reference range) were still significantly higher in the SAS group (p = 0.020). The QTc interval at the maximum heart rate (HR) (p = 0.018) in children with sleep disorders was longer and had a positive correlation with serum glucose level (r = 0.195, p = 0.052). The analysis of echocardiography parameters (excluding the diagnosis factor) showed a smaller diameter of the pulmonary artery (p = 0.058) in children with SAS and correlation between right atrial remodeling and the factor of sleep disorder in children with various forms of CMP (p = 0.040). Conclusion. The analysis of sleep questionnaires revealed sleep disorders in 63% of children with CMP, including insomnia/parasomnia (24%) and/or SAS (38%). The presence of SAS was associated with a substantial number and variety of subjective complaints. The signs of myocardial electrical instability (longer QTc interval at maximum heart rate), association between QTc and serum glucose level, specific features of remodeling of the heart and blood vessels in patients with sleep disorders, and, most importantly, SAS in children indicate the need for early detection and correction of sleep disorders (insomnia, parasomnia) and main causes of SAS, such as chronic diseases of the ENT organs, overweight, and obesity. Treatment of sleep disorders is very important in terms of prevention of complications, treatment and prognosis of cardiomyopathy in children, which will help to increase therapeutic efficacy. Key words: children, cardiomyopathy, comorbidity, sleep disorders, sleep apnea, sleep questionnaires
Introduction. Sleep disorders in children with nervous system pathology are more pronounced than in the general population. One of the most common causes of sleep disorders in children is sleep-disordered breathing. The aim of our study was to create an algorithm for the diagnosis of sleep breathing disorders in children with neurological pathology. Materials and methods. The results of night studies (160 polysomnographies, 98 cardiorespiratory monitorings) carried out in the department of instrumental diagnostics at the National Medical Research Center for Children’s Health in 258 children (154 boys and 104 girls, aged one month to 17 years) with neurological pathology were analyzed. Questionnaires were used to assess the quality of sleep. An essential criterion for dividing children into groups was the presence of maxillofacial anomalies (MFA). The results were compared with complaints according to questionnaires, age, BMI and ENT-status of patients. Results. In the general sample, a significant (p < 0.001) relationship between respiratory disorders and complaints and the presence of ENT pathology was obtained. The most severe breathing disorders were recorded in children with MFA (p < 0.001). The result was the creation of an algorithm for examining children with neurological pathology. Conclusion. Children with neurological pathology in sleep-breathing disorders require a personalized approach to correcting the causes of these disturbances, depending on the nosology. Chronic pathology of the ENT organs aggravates respiratory disorders during sleep. Regular monitoring of sleep disorders using questionnaires should be included in the algorithm for managing children with neurological diseases of all ages for early detection of these disorders.
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