scholarly journals Short time effect of Covid 19 pandemic on HbA1c and acute metabolic complications in children with type 1 diabetes

Author(s):  
Ilknur Arslanoglu ◽  
Figen Akcali ◽  
Fatma Yavuzyilmaz ◽  
Mehmet Ali Sungur

Background COVID19 pandemic is currently affecting every aspect of daily life of communitiesy throughout the world. We aimed to check how this situation affects the metabolic control of children with type 1 diabetes. Methods We analyzed all patients with type 1 diabetes a HbA1c test after at least two months ensuing the start of the epidemic in Turkey. We compared the results with the most recent HbA1c test in the hospitals automation system before the epidemic. In addition, diabetic ketoacidosis (DKA) and severe hypoglycemia rates were compared. Results Among the eligible 219 cases 77.6% had decreased HbA1c levels according to their former result. Mean drop was about 9.71% compared to the former test in the whole group. Age, sex and time interval between two tests were not found to affect this tendency. Diabetic ketoacidosis rate was the same as before the pandemic, whereas severe hypoglycemia rates increased. Conclusions Despite the potential of the pandemic to affect routine care of chronic diseases in a negative way the short term metabolic control of type 1 children with type 1 diabetes improved. Telemedicine support by the diabetes team and increased care in the family environment might be possible explanations.

Diabetes Care ◽  
2006 ◽  
Vol 29 (10) ◽  
pp. 2196-2199 ◽  
Author(s):  
A. Samann ◽  
I. Muhlhauser ◽  
R. Bender ◽  
W. Hunger-Dathe ◽  
C. Kloos ◽  
...  

2018 ◽  
Vol 19 (4) ◽  
pp. 713-720 ◽  
Author(s):  
Lena M E Lindner ◽  
Veronika Gontscharuk ◽  
Christina Bächle ◽  
Katty Castillo ◽  
Anna Stahl-Pehe ◽  
...  

2014 ◽  
Vol 56 (6) ◽  
pp. 940-940 ◽  
Author(s):  
Tatsuhiko Urakami ◽  
Masako Habu ◽  
Junichi Suzuki

2003 ◽  
Vol 4 (4) ◽  
pp. 168-173 ◽  
Author(s):  
Rukiye Pinar ◽  
Ilknur Arslanoglu ◽  
Pinar Isguven ◽  
Filiz Cizmeci ◽  
Hulya Gunoz

2013 ◽  
Vol 14 (6) ◽  
pp. 447-454 ◽  
Author(s):  
Eda Cengiz ◽  
Dongyuan Xing ◽  
Jenise C. Wong ◽  
Joseph I. Wolfsdorf ◽  
Morey W. Haymond ◽  
...  

2013 ◽  
Vol 98 (8) ◽  
pp. 3411-3419 ◽  
Author(s):  
Ruth S. Weinstock ◽  
Dongyuan Xing ◽  
David M. Maahs ◽  
Aaron Michels ◽  
Michael R. Rickels ◽  
...  

2015 ◽  
Vol 173 (3) ◽  
pp. 341-350 ◽  
Author(s):  
Beate Karges ◽  
Joachim Rosenbauer ◽  
Paul-Martin Holterhus ◽  
Peter Beyer ◽  
Horst Seithe ◽  
...  

ObjectiveTo investigate rates and risk factors of hospital admission for diabetic ketoacidosis (DKA) or severe hypoglycemia in young patients with established type 1 diabetes.DesignIn total, 31 330 patients with type 1 diabetes (median age 12.7 years) from the Diabetes Patienten Verlaufsdokumentation (DPV) Prospective Diabetes Registry treated between 2011 and 2013 in Germany were included.MethodsAdmission rates for DKA (pH <7.3 or bicarbonate <15 mmol/l) and severe hypoglycemia (requiring assistance from another person) were calculated by negative binomial regression analysis. Associations of DKA or hypoglycemia with patient and treatment characteristics were assessed by multivariable regression analysis.ResultsThe mean admission rate for DKA was 4.81/100 patient-years (95% CI, 4.51–5.14). The highest DKA rates were observed in patients with HbA1c ≥9.0% (15.83 (14.44–17.36)), age 15–20 years (6.21 (5.61–6.88)) and diabetes duration of 2–4.9 years (5.60 (5.00–6.27)). DKA rate was higher in girls than in boys (5.35 (4.88–5.86) vs 4.34 (3.95–4.77), P=0.002), and more frequent in migrants than in non-migrants (5.65 (4.92–6.49) vs 4.57 (4.23–4.93), P=0.008). The mean admission rate for severe hypoglycemia was 1.45/100 patient-years (1.30–1.61). Rates were higher in migrants compared to non-migrants (2.13 (1.72–2.65) vs 1.28 (1.12–1.47), P<0.001), and highest in individuals with severe hypoglycemia within the preceding year (17.69 (15.63–20.03) vs patients without preceding hypoglycemia 0.42 (0.35–0.52), P<0.001). Differences remained significant after multivariable adjustment.ConclusionsThe identification of at-risk individuals for DKA (patients with high HbA1c, longer diabetes duration, adolescents, girls) and for severe hypoglycemia (patients with preceding severe hypoglycemia, migrants) may facilitate targeted diabetes counselling in order to prevent these complications.


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