Insulin-like growth factor is one of the regulators of fetal growth in the intrauterine period, and is responsible for its further development. Purpose. To study postnatal growth in relation to insulin-like growth factor-1 and somatotropic hormonelevels in infants born to obese mothers. Materials and methods. The prospective study included 18 children (16 full-term and 2 premature infants of gestational age 31-35 weeks) born to mothers who were obese before pregnancy (group 1) and 18 children (17 full-term and 1 premature baby of gestational age 34 weeks) from mothers with normal body mass index before pregnancy. Weight and height were estimated at birth, at 3 and 6 months. Serum levels of insulin-like growth factor-1 and somatotropic hormonewere determined by ELISA at birth in umbilical cord blood at 3, 6 and 12 months. Results. During the neonatal period, at 3 and 6 months, height and weight did not have significant differences in both groups. At the age of 1 year in group 1 weight and height were higher than in group 2 (p < 0.05). Indicators of insulin-like growth factor-1 (128.71 ± 74.29 and 21.33 ± 15.21 ) and somatotropic hormone (4.3 ± 1.5 and 1.84 ± 0.36) was also higher in children of group 1 aged 1 year. Conclusion. Changes in the somatotropic hormone – insulin-like growth factor-1 axis in children born to obese mothers may form the basis of metabolic syndrome in the future.
Aim. To study individual functional parameters of respiration in different phases of sleep in patients with obstructive sleep apnea (OSA) and chronic heart failure with preserved ejection fraction (HFpEF) and to assess their effect on the clinical course of the disease. Methods. The study included 86 men with OSA [with an apnea-hypopnea index (AHI) 15 per hour]. Upon inclusion in the study, all patients underwent a polysomnographic study and echocardiography, the level of brain natriuretic peptide (NT-proBNP) was determined, a six-minute walk test was performed. After 12 months of prospective observation, the patients were divided into 2 groups according to the clinical course of chronic heart failure: with unfavorable (n=33) and favorable (n=53) clinical course. The prognostic significance of the studied parameters of respiration to the course of the disease was assessed by using logistic and linear regression. Results. A significant role of the following respiratory parameters as predictors of chronic heart failure progression was established: obstructive apnea-hypopnea index for the entire night sleep [odds ratio (OR) 1.04, p=0.002] and in the phase of rapid eye movement sleep (REM) (ОR 1.24, p=0.001); the index of respiratory disorders for the entire sleep period (ОR 1.06, p=0.044) and in REM sleep phase (ОR 1.25, p=0.003). For hospital readmission, the predictive role was determined for obstructive apnea/hypopnea index for REM phase (ОR 1.07, p=0.044) and index of respiratory disorders for REM phase (ОR 1.13, p=0.040). Conclusion. The prognostic value of the obstructive apnea-hypopnea index and the index of respiratory disorders for the entire night sleep and in the phase of REM sleep was revealed for patients with OSA and chronic heart failure with preserved ejection fraction, which allows considering these parameters as independent predictors of an unfavorable clinical course in this group of patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.