Clinical and demographic risk factors associated with mortality during early adulthood in a population-based cohort of childhood-onset Type 1 diabetes

2014 ◽  
Vol 31 (12) ◽  
pp. 1550-1558 ◽  
Author(s):  
M. N. Cooper ◽  
N. H. de Klerk ◽  
T. W. Jones ◽  
E. A. Davis
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Early Adulthood ◽  
Population Based ◽  
Childhood Onset ◽  
Factors Associated ◽  
Onset Type ◽  
Demographic Risk ◽  
Demographic Risk Factors

Psychiatric disorders during early adulthood in those with childhood onset type 1 diabetes: Rates and clinical risk factors from population-based follow-up

2016 ◽  
Vol 18 (7) ◽  
pp. 599-606 ◽  
Author(s):  
M. N. Cooper ◽  
A. Lin ◽  
G. A. Alvares ◽  
N. H. de Klerk ◽  
T. W. Jones ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Psychiatric Disorders ◽  
Early Adulthood ◽  
Population Based ◽  
Clinical Risk Factors ◽  
Childhood Onset ◽  
Onset Type

scholarly journals A population-based study of risk factors for severe hypoglycaemia in a contemporary cohort of childhood-onset type 1 diabetes

Diabetologia ◽  
2013 ◽  
Vol 56 (10) ◽  
pp. 2164-2170 ◽  
Author(s):  
Matthew N. Cooper ◽  
Susan M. O’Connell ◽  
Elizabeth A. Davis ◽  
Timothy W. Jones
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Severe Hypoglycaemia ◽  
Population Based ◽  
Childhood Onset ◽  
Population Based Study ◽  
Onset Type

scholarly journals Perinatal and childhood risk factors for early-onset type 1 diabetes: a population-based case-control study in Taiwan

2015 ◽  
Vol 25 (6) ◽  
pp. 1024-1029 ◽  
Author(s):  
Hsin-Yu Lee ◽  
Chin-Li Lu ◽  
Hua-Fen Chen ◽  
Hui-Fang Su ◽  
Chung-Yi Li
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Early Onset ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Onset Type ◽  
Childhood Risk Factors ◽  
Control Study

scholarly journals The incidences of and risk factors for severe retinopathy requiring photocoagulation and albuminuria in Japanese patients with childhood-onset type 1 diabetes

2017 ◽  
Vol 9 (2) ◽  
pp. 121-128
Author(s):  
Hiroko Takaike ◽  
◽  
Yasuko Uchigata ◽  
Nobuo Matsuura ◽  
Nozomu Sasaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Japanese Patients ◽  
Childhood Onset ◽  
Onset Type

Impact of childhood-onset type 1 diabetes on schooling: a population-based register study

Diabetologia ◽  
2013 ◽  
Vol 56 (6) ◽  
pp. 1254-1262 ◽  
Author(s):  
S. Persson ◽  
G. Dahlquist ◽  
U.-G. Gerdtham ◽  
K. Steen Carlsson
Keyword(s):  
Type 1 Diabetes ◽  
Population Based ◽  
Register Study ◽  
Childhood Onset ◽  
Onset Type

Risk factors associated with the development of retinopathy 10 yr after the diagnosis of juvenile-onset type 1 diabetes in Taiwan: a cohort study from the CGJDES

2015 ◽  
Vol 17 (6) ◽  
pp. 407-416 ◽  
Author(s):  
Nan-Kai Wang ◽  
Chi-Chun Lai ◽  
Jung-Pan Wang ◽  
Wei-Chi Wu ◽  
Laura Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Cohort Study ◽  
Juvenile Onset ◽  
Factors Associated ◽  
Onset Type

scholarly journals Serum Galectin-3 and Subsequent Risk of Coronary Heart Disease in Subjects With Childhood-Onset Type 1 Diabetes: A Cohort Study

2021 ◽  
Author(s):  
Maryam Saeed ◽  
German Tapia ◽  
Inger Ariansen ◽  
Lars C. Stene ◽  
Ingebjørg Seljeflot ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Type 1 Diabetes ◽  
Heart Disease ◽  
High Sensitivity ◽  
Childhood Onset ◽  
Onset Type ◽  
Galectin 3 ◽  
Conventional Risk Factors

<a><i>Objective:</i></a> To study whether serum galectin-3 and other biomarkers of inflammation predict coronary heart disease (CHD) in subjects with longstanding childhood-onset type 1 diabetes. <p><i>Research, design and methods:</i> A population-based nation-wide cohort of 299 subjects with type 1 diabetes diagnosed in Norway at age <15 years during 1973-1982. They were examined in 2002-2003 at mean age of 33 years (range 21-44), with mean diabetes duration of 24 years (range 19-30). Subjects were followed through December 31, 2017 for their first CHD event registered by a hospitalization or cause of death using nation-wide registries. Stored serum samples were available for 296 subjects and analyzed for interleukin (IL)-6, IL-6 receptor, IL-18, high sensitivity-C-reactive protein, matrix metalloproteinases-9, tissue inhibitor of metalloproteinase-1, galectin-3 and high sensitivity troponin T (hs-TNT). Adjusted hazard ratios (aHR) for CHD per standard deviation increase in biomarker were estimated using Cox regression. </p> <p><i>Results:</i> Of 295 subjects, 40 (13.6%) had documented CHD event during mean follow-up of 14.4 years (range 0.5 - 16). IL-6 (aHR 1.32, 95% CI: 1.07 – 1.63), galectin-3 (aHR 1.44, 95% CI: 1.09 – 1.80) and TIMP-1 (aHR 1.37, 95% CI 1.04 – 1.81) were significant predictors of CHD after adjustment for conventional risk factors. </p> <p><i>Conclusion:</i><b> </b>Galectin-3 was significantly associated with future CHD in subjects with type 1 diabetes, and if the results are replicated in larger studies it may aid in prediction together with conventional risk factors for CHD. <b><br> </b></p>

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