Literature DB >> 31715623

Type 1 diabetes mellitus management in young children: implementation of current technologies.

Michal Nevo-Shenker1, Moshe Phillip2,3, Revital Nimri1,4, Shlomit Shalitin1,4.   

Abstract

The use of advanced technologies for diabetes management is on the rise among pediatric patients with type 1 diabetes (T1D). Continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring, predictive low glucose suspend, hybrid closed-loop insulin delivery systems-all enable better diabetes management and glycemic control. However, when used by children, and especially very young children, specific aspects must be taken into consideration, including technical parameters, ease of use, parental stress, and satisfaction. The unique characteristics of T1D in children aged <6 years are reviewed and studies of the pros and cons of different technologies in this specific age group are presented. Addressing such issues when implementing advanced technologies among very young children with T1D will enable better diabetes management and will hopefully ease a tremendous burden of both children and families.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31715623     DOI: 10.1038/s41390-019-0665-4

Source DB:  PubMed          Journal:  Pediatr Res        ISSN: 0031-3998            Impact factor:   3.756


  44 in total

1.  Management and Family Burdens Endorsed by Parents of Youth <7 Years Old With Type 1 Diabetes.

Authors:  Kara R Harrington; Claire T Boyle; Kellee M Miller; Marisa E Hilliard; Barbara J Anderson; Michelle Van Name; Linda A DiMeglio; Lori M Laffel
Journal:  J Diabetes Sci Technol       Date:  2017-08-03

2.  Comparison of metabolic control in a cross-sectional study of 2,873 children and adolescents with IDDM from 18 countries. The Hvidøre Study Group on Childhood Diabetes.

Authors:  H B Mortensen; P Hougaard
Journal:  Diabetes Care       Date:  1997-05       Impact factor: 19.112

Review 3.  The Impact of Diabetes on Brain Function in Childhood and Adolescence.

Authors:  Fergus J Cameron
Journal:  Pediatr Clin North Am       Date:  2015-06-24       Impact factor: 3.278

Review 4.  Why is cognitive dysfunction associated with the development of diabetes early in life? The diathesis hypothesis.

Authors:  Christopher M Ryan
Journal:  Pediatr Diabetes       Date:  2006-10       Impact factor: 4.866

5.  Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes Predicts Poor Long-term Glycemic Control.

Authors:  Lindsey M Duca; Bing Wang; Marian Rewers; Arleta Rewers
Journal:  Diabetes Care       Date:  2017-06-30       Impact factor: 19.112

6.  Which factors predict glycemic control in children diagnosed with type 1 diabetes before 6.5 years of age?

Authors:  S Shalitin; M Phillip
Journal:  Acta Diabetol       Date:  2011-08-25       Impact factor: 4.280

7.  Clinical, autoimmune, and genetic characteristics of very young children with type 1 diabetes. Childhood Diabetes in Finland (DiMe) Study Group.

Authors:  J Komulainen; P Kulmala; K Savola; R Lounamaa; J Ilonen; H Reijonen; M Knip; H K Akerblom
Journal:  Diabetes Care       Date:  1999-12       Impact factor: 19.112

8.  Basal rates and circadian profiles in continuous subcutaneous insulin infusion (CSII) differ for preschool children, prepubertal children, adolescents and young adults.

Authors:  Rainer Bachran; Peter Beyer; Christof Klinkert; Bettina Heidtmann; Joachim Rosenbauer; Reinhard W Holl
Journal:  Pediatr Diabetes       Date:  2011-05-05       Impact factor: 4.866

9.  Insulin pump therapy management in very young children with type 1 diabetes using continuous subcutaneous insulin infusion.

Authors:  Ivana Rabbone; Andrea Scaramuzza; Adriana Bobbio; Riccardo Bonfanti; Dario Iafusco; Fortunato Lombardo; Sonia Toni; Stefano Tumini; Franco Cerutti
Journal:  Diabetes Technol Ther       Date:  2009-11       Impact factor: 6.118

10.  Contrasting the clinical care and outcomes of 2,622 children with type 1 diabetes less than 6 years of age in the United States T1D Exchange and German/Austrian DPV registries.

Authors:  David M Maahs; Julia M Hermann; Stephanie N DuBose; Kellee M Miller; Bettina Heidtmann; Linda A DiMeglio; Birgit Rami-Merhar; Roy W Beck; Edith Schober; William V Tamborlane; Thomas M Kapellen; Reinhard W Holl
Journal:  Diabetologia       Date:  2014-06-04       Impact factor: 10.122

View more
  7 in total

1.  Where Do We Stand with Closed-Loop Systems and Their Challenges?

Authors:  Melanie Jackson; Jessica R Castle
Journal:  Diabetes Technol Ther       Date:  2020-05-22       Impact factor: 6.118

2.  An Efficient and Footprint-Free Protocol for the Transdifferentiation of Hepatocytes Into Insulin-Producing Cells With IVT mRNAs.

Authors:  Shinan Ma; Mengjie Yang; Wenhui Zhou; Longjun Dai; Yan Ding; Xingrong Guo; Yahong Yuan; Junming Tang; Dongsheng Li; Xiaoli Wang
Journal:  Front Genet       Date:  2020-06-05       Impact factor: 4.599

3.  Islet transplantation modulates macrophage to induce immune tolerance and angiogenesis of islet tissue in type I diabetes mice model.

Authors:  Yang Li; Xiaoming Ding; Xiaohui Tian; Jin Zheng; Chenguang Ding; Xiao Li; Xiaojun Hu; Yuxi Qiao; Ying Wang; Wujun Xue
Journal:  Aging (Albany NY)       Date:  2020-11-20       Impact factor: 5.682

4.  Genetically engineered pigs manifesting pancreatic agenesis with severe diabetes.

Authors:  Masaki Nagaya; Koki Hasegawa; Masahito Watanabe; Kazuaki Nakano; Kazutoshi Okamoto; Takeshi Yamada; Ayuko Uchikura; Kenji Osafune; Harumasa Yokota; Taiji Nagaoka; Hitomi Matsunari; Kazuhiro Umeyama; Eiji Kobayashi; Hiromitsu Nakauchi; Hiroshi Nagashima
Journal:  BMJ Open Diabetes Res Care       Date:  2020-11

5.  The thyroid hormone levels and glucose and lipid metabolism in children with type 1 diabetes: a correlation analysis.

Authors:  Chuanjie Yuan; Xiaomei Sun; Yin Liu; Jin Wu
Journal:  Transl Pediatr       Date:  2021-02

6.  Technologies for Type 1 Diabetes and Contact Dermatitis: Therapeutic Tools and Clinical Outcomes in a Cohort of Pediatric Patients.

Authors:  Stefano Passanisi; Giuseppina Salzano; Francesca Galletta; Sara Aramnejad; Lucia Caminiti; Giovanni B Pajno; Fortunato Lombardo
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-15       Impact factor: 5.555

7.  Parents' views about healthcare professionals having real-time remote access to their young child's diabetes data: Qualitative study.

Authors:  Barbara Kimbell; David Rankin; Ruth I Hart; Janet M Allen; Charlotte K Boughton; Fiona Campbell; Elke Fröhlich-Reiterer; Sabine E Hofer; Thomas M Kapellen; Birgit Rami-Merhar; Ulrike Schierloh; Ajay Thankamony; Julia Ware; Roman Hovorka; Julia Lawton
Journal:  Pediatr Diabetes       Date:  2022-05-25       Impact factor: 3.409

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.