Obesity is a well-known risk factor for arterial hypertension. The aim of this study was to analyze which surrogate marker of adiposity, i.e., body mass index (BMI) or fat mass (FM), as measured by bioimpedance analysis (BIA), best correlated with blood pressure in healthy children. Body weight, height, and casual blood pressure (BP) were measured in 193 healthy children (103 boys), aged 8-16 years. Body composition was determined by BIA. The correlation between BMI and age was linear, whereas the correlation between percentage of FM and age was nonlinear and it was different in boys and girls. Blood pressure standard deviation scores (SDS) correlated with FM SDS (BIA) over the entire normal range (systolic: r = 0.26, p = 0.002; diastolic: r = 0.33, p < 0.01). An evaluation of the children based on BP (three groups: BP < 50th percentile, 50th < BP > 95th percentile; BP > 95th percentile) revealed that hypertensive children had a higher BMI (17.6 vs. 19.4 vs. 26.2 kg/m(2), respectively) and a greater FM (14.0 vs. 16.8 vs. 30.2%, respectively). In conclusion, the divergence in FM in healthy boys and girls can be determined by BIA but not by BMI. In healthy children, BP within the entire normal range correlated with FM, children with established hypertension presented with a significantly higher FM. The study points to FM as an important determinant of BP pressure in obese and non-obese children.
This article discusses the recognition method of imminent failure conditions of synchronous motor. The proposed approach is based on a study of thermal images of the motor. Studies were carried out for four conditions of motor with the application of binarization and nearest mean classifier with Manhattan distance. Pattern creation process used 40 monochrome thermal images. Identification process was carried out for 160 monochrome thermal images. The experiments show that the method can be useful for protection of synchronous motor. Moreover, this method can be used to diagnose equipments in steelworks and other industrial plants.Keywords: Diagnostics, Recognition, Thermal images, Synchronous motor, nearest mean classifier Artykuł omawia metodę rozpoznawania stanów przedawaryjnych silnika synchronicznego. Proponowane podejście jest oparte na badaniu obrazów termowizyjnych silnika. Przeprowadzono badania dla czterech stanów silnika z zastosowaniem binaryzacji i klasyfikatora najbliższej średniej z metryką Manhattan. Proces tworzenia wzorców do rozpoznawania został przeprowadzony dla 40 monochromatycznych obrazów termowizyjnych. W procesie identyfikacji użyto 160 monochromatycznych obrazów termowizyjnych. Eksperymenty pokazują, że metoda może być przydatna do ochrony silników synchronicznych. Ponadto metoda może być stosowana do diagnozowania urządzeń w hutach i innych zakładach przemysłowych.
Myelomeningocele (MMC) results from a failure of normal neural tube fusion in early fetal development. Retrospective, observational study of medical data of 54 children treated in Pediatric Nephrology and Urology Clinics for five years was performed. The following data were analyzed: serum creatinine, eGFR, urine analysis, renal scintigraphy (RS), renal ultrasound, and urodynamics. Mean age of studied population: 12.3 years, median of eGFR at the beginning and at the end of survey was 110.25 and 116.5 mL/min/1.73 m2 accordingly. Median of frequency of urinary tract infections (fUTI): 1.2 episodes/year. In 24 children: low-pressure, in 30 children: high-pressure bladder was noted. Vesicouretral reflux (VUR) was noted in 23 children (42.6%). fUTI were more common in high-grade VUR group. High-grade VURs were more common in group of patients with severe renal damage. At the end of the survey 11.1% children were qualified to higher stages of chronic kidney disease. Renal parenchyma damage progression in RS was noted in 22.2% children. Positive VUR history, febrile recurrent UTIs, bladder wall trabeculation, and older age of the patients constitute risk factors of abnormal renal scans. More than 2.0 febrile, symptomatic UTIs annually increase by 5.6-fold the risk of severe renal parenchyma damage after five years.
Background/Aims: The recent improvements of management of patients in pediatric intensive care units (PICU) are associated with improved outcome. However, this decrease in mortality is associated with an increased number of children with acute kidney injury (AKI), especially in patients with multiorgan failure. Methods: The report presents a retrospective analysis of 25 cases of AKI (assessed based on the pRIFLE criteria) in PICU within 7 years. Results: AKI was diagnosed in 1.24% of all hospitalized children. AKI percentage duration (as compared to the total hospitalization time) in the children who died vs. the survivors was 79.55% vs. 46.19%, respectively (p<0.05). The mortality rate of AKI patients was 40% which was 4.4-times higher as compared to the total mortality rate in PICU. The final cumulative survival ratio (FCSR) of patients meeting the oliguria criterion (which was met in 48% of AKI patients) was 37% vs. 49% in non-oliguric children. Averaged urine output values in the first week of hospitalization in the deceased vs. survivors were 1.49 vs. 2.57 ml/kg/h, respectively (p<0.05). Conclusions: Oliguria should not be considered as a sensitive parameter for AKI diagnosing in children below one year of age. A decreased mean urine output in the first week of PICU hospitalization (less than 1.4 ml/kg/h) should be considered as a poor prognostic factor. In many cases AKI was diagnosed too infrequently and too late.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.