scholarly journals Growth Abnormalities in Children with Type 1 Diabetes, Juvenile Chronic Arthritis, and Asthma

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Cosimo Giannini ◽  
Angelika Mohn ◽  
Francesco Chiarelli

Children and adolescents with chronic diseases are commonly affected by a variable degree of growth failure, leading to an impaired final height. Of note, the peculiar onset during childhood and adolescence of some chronic diseases, such as type 1 diabetes, juvenile idiopathic arthritis, and asthma, underlines the relevant role of healthcare planners and providers in detecting and preventing growth abnormalities in these high risk populations. In this review article, the most relevant common and disease-specific mechanisms by which these major chronic diseases affect growth in youth are analyzed. In addition, the available and potential targeting strategies to restore the physiological, hormonal, and inflammatory pattern are described.

2015 ◽  
Vol 52 (4) ◽  
pp. 801-807 ◽  
Author(s):  
Eileen Morgan ◽  
Christopher R. Cardwell ◽  
Catherine J. Black ◽  
David R. McCance ◽  
Christopher C. Patterson

2006 ◽  
Vol 20 (4) ◽  
pp. 252-256 ◽  
Author(s):  
Abdelaziz Elamin ◽  
Omer Hussein ◽  
Torsten Tuvemo
Keyword(s):  

2000 ◽  
Vol 85 (9) ◽  
pp. 3262-3265
Author(s):  
Marie-Christine Lebrethon ◽  
Ashley B. Grossman ◽  
Farhad Afshar ◽  
P. Nicholas Plowman ◽  
G. Michael Besser ◽  
...  

Abstract Cushing’s disease is associated with growth failure in childhood and adolescence. Growth and final height were analyzed in 10 patients who were cured or in remission after treatment of Cushing’s disease. Seven males and 3 females, aged 6.8–17.6 yr (bone age, 3.3- 15.4 yr), had transsphenoidal surgery, which was combined with pituitary irradiation (4500 cGy in 25 fractions) in 5 patients. At presentation, 5 patients were prepubertal (males), and 5 were pubertal (2 males and 3 females). The mean height sd score was −2.15 ± 1.26 (range, −0.21 to −4.32) compared with mean target height sd score of −0.43 ± 0.58. Height velocity in 6 patients was subnormal (0.9–3.8 cm/yr). After treatment, short-term height velocity, over a mean interval of 0.57 yr, in 8 patients not receiving human GH (hGH) therapy, was variable (range, 0.8–7.6 cm/yr). GH stimulation tests (insulin tolerance test/glucagon) in 9 subjects showed peak GH levels of 0.5–20.9 mU/L. Eight were treated with hGH (14 IU/m2·wk), combined in 2 girls and 1 boy with a GnRH analog. After 1 yr of hGH, the mean height sd score had increased from −2.45 ± 1.0 at initiation of hGH to −2.07± 1.2 (P = 0.01). GH therapy was continued until final height or latest assessment. The mean final height sd score (n = 6) was −1.24 ± 1.38, and at the latest assessment the mean height sd score (n = 4) was− 1.52 ± 1.33. Combining these 2 groups, the mean height sd score was −1.36 ± 1.29. The difference between final or latest height sd score and target height sd score was 0.93 ± 1.13, i.e. less (P = 0.005) than the difference between height and target height sd score of 1.72 ± 1.26 at presentation. In conclusion, catch-up and favorable long-term growth was seen after treatment for Cushing’s disease. Posttreatment GH deficiency was frequent, and early hGH replacement may have contributed to the encouraging outcome.


2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Ralph Brinks

Chronic diseases impose a huge burden for mankind. Recently, a mathematical relation between the incidence and prevalence of a chronic disease in terms of a differential equation has been described. In this article, we study the characteristics of this differential equation. Furthermore, we prove the ill-posedness of a related inverse problem arising in chronic disease epidemiology. An example application for the inverse problem about type 1 diabetes in German women aged up to 35 years is given.


2015 ◽  
Vol 36 (10) ◽  
pp. 459-461
Author(s):  
Jennifer Myaeng ◽  
Bruce Ong ◽  
Jordan E. Pinsker

SIMULATION ◽  
2017 ◽  
Vol 93 (9) ◽  
pp. 781-793 ◽  
Author(s):  
Sara Montagna ◽  
Andrea Omicini

The impact of mobile technologies on healthcare is particularly evident in the case of self-management of chronic diseases, where they can decrease spending and improve life quality of patients. We propose the adoption of agent-based modeling and simulation techniques as built-in tools to dynamically monitor the state of patient health and provide recommendations for self-management. To demonstrate the feasibility of our proposal we focus on Type 1 diabetes mellitus as our case study, and provide simulation results where the dynamic evolution of signal parameters is shown in the case of healthy and Type 1 diabetes mellitus patients, focussing in particular on the beneficial effects that self-management interventions have on plasma glucose values.


Author(s):  
Helena Vavrova

Type l diabetes is one of the most common chronic diseases, even in childhood. New data sugest a trend towards a decreasing age of onset of type 1 Diabetes mellitus.


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