scholarly journals Racial differences in neighborhood disadvantage, inflammation and metabolic control in black and white pediatric type 1 diabetes patients

2016 ◽  
Vol 18 (2) ◽  
pp. 120-127 ◽  
Author(s):  
Sara J. Coulon ◽  
Cruz Velasco-Gonzalez ◽  
Richard Scribner ◽  
Chi L. Park ◽  
Ricardo Gomez ◽  
...  
2018 ◽  
Vol 42 (3) ◽  
pp. 302-307.e1
Author(s):  
Elizabeth Rosolowsky ◽  
Maryna Yaskina ◽  
Robert Couch

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Marcin Braun ◽  
Bartlomiej Tomasik ◽  
Ewa Wrona ◽  
Wojciech Fendler ◽  
Przemyslawa Jarosz-Chobot ◽  
...  

Introduction. It remains unclear howHbA1crecommendations influence metabolic control of paediatric patients with type 1 diabetes mellitus. To evaluate this we compared reportedHbA1cwith guideline thresholds.Materials and Methods. We searched systematically MEDLINE and EMBASE for studies reporting onHbA1cin children with T1DM and grouped them according to targetedHbA1cobtained from regional guidelines. We assessed the discrepancies in the metabolic control between these groups by comparing meanHbA1cextracted from each study and the differences between actual and targetedHbA1c.Results. We included 105 from 1365 searched studies. The median (IQR)HbA1cfor the study population was 8.30% (8.00%–8.70%) and was lower in “6.5%” than in “7.5%” as targetedHbA1clevel (8.20% (7.85%–8.57%) versus 8.40% (8.20%–8.80%);p=0.028). Median difference between actual and targetedHbA1cwas 1.20% (0.80%–1.70%) and was higher in “6.5%” than in “7.5%” (1.70% (1.30%–2.07%) versus 0.90% (0.70%–1.30%), resp.;p<0.001).Conclusions. Our study indicates that the 7.5% threshold results inHbA1clevels being closer to the therapeutic goal, but the actual values are still higher than those observed in the “6.5%” group. A meta-analysis of raw data from national registries or a prospective study comparing both approaches is warranted as the next step to examine this subject further.


2010 ◽  
Vol 11 (7) ◽  
pp. 455-461 ◽  
Author(s):  
Arlette A Soros ◽  
Stuart A Chalew ◽  
Robert J McCarter ◽  
Rachel Shepard ◽  
James M Hempe

2012 ◽  
Vol 26 (3) ◽  
pp. 219-224 ◽  
Author(s):  
Yael Lebenthal ◽  
Shlomit Shalitin ◽  
Michal Yackobovitch-Gavan ◽  
Moshe Phillip ◽  
Liora Lazar

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1369-P
Author(s):  
ANDREA GERARD GONZALEZ ◽  
ANDREA CAROLINA BRADY ◽  
GEORGEANNA J. KLINGENSMITH ◽  
LAURA PYLE ◽  
JESSICA THURSTON

Author(s):  
Agnieszka Zawada ◽  
Dariusz Naskręt ◽  
Eliza Matuszewska ◽  
Zenon Kokot ◽  
Marian Grzymisławski ◽  
...  

Introduction: Protein profiling allows the determination of the presence of proteins marking various stages of the disease, and differentiates between people at risk of various diseases. In type 1 diabetes, protein profiling had been previously used to find blood markers other than islet autoantibodies to indicate the pancreatic beta cell destruction process and to reflect the progression of type 1 diabetes mellitus (T1DM). However, T1DM is an auto-immune disease and its clinical presentation changes in time of its duration. The aim of the study: To find differences in protein profiles in patients with type 1 diabetes according to diabetes control (HbA1c > 7%) and with presence of diabetic complications or obesity. It may help to identify subgroups of patients who may need a better clinical supervision and individualized treatment. Material and methods: A group of 103 patients with auto-immunologically confirmed T1DM, and meeting the following inclusion criteria: Caucasian race, duration of diabetes >5 years, were used in the study. Criteria of exclusion: past or present cancer (treated with chemo-/radiotherapy), diseases of the liver (ALT > 3 × ULN) except for people with simple hepatic steatosis, chronic renal disease (eGFR < 30 mL/1.73 m2/min), and acute inflammation (CRP > 5 mg/dL). The study group was divided in terms of the presence of chronic complications, obesity, or poor metabolic control (HbA1c > 7%). Protein profiling was completed by using the MALDI-TOF MS (matrix-assisted laser desorption/ionization-time of flight mass spectrometry) analyzer. Results: Differentiating proteins were identified in all of the groups. The groups burdened with complications, obesity, and poor metabolic control were characterized by increased levels of fibrinogen, complement C4 and C3. Conclusion: The groups of type 1 diabetes patients burdened with complications, obesity, and poor metabolic control were characterized by increased levels of fibrinogen, complement C4 and C3. Further detailed studies are necessary to determine more subtle changes in the proteomic profile of patients with type 1 diabetes.


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