scholarly journals High Glucose Variability Increases Mortality Risk in Patients with COVID-19

2021 ◽  
Vol 242 ◽  
pp. 156
Author(s):  
Arauz Guillermo ◽  
Camey Eduardo ◽  
Cárcamo Alejandra ◽  
Celis Grecia
2017 ◽  
Vol 102 (7) ◽  
pp. 2230-2241 ◽  
Author(s):  
Amit Akirov ◽  
Talia Diker-Cohen ◽  
Hiba Masri-Iraqi ◽  
Ilan Shimon

2013 ◽  
Vol 28 (5) ◽  
pp. 798-803 ◽  
Author(s):  
Jeffrey F. Barletta ◽  
Bryan E. Figueroa ◽  
Rob DeShane ◽  
Steven A. Blau ◽  
Karen J. McAllen

2010 ◽  
Vol 158 (2) ◽  
pp. 352
Author(s):  
M. Corneille ◽  
C. Villa ◽  
S.E. Wolf ◽  
C. Brougher ◽  
J.E. Michalek ◽  
...  

Diabetes Care ◽  
2021 ◽  
pp. dc201847
Author(s):  
Jean-Baptiste Julla ◽  
Pauline Jacquemier ◽  
Guy Fagherazzi ◽  
Tiphaine Vidal-Trecan ◽  
Vanessa Juddoo ◽  
...  

2021 ◽  
Author(s):  
Jean-Baptiste Julla ◽  
Pauline Jacquemier ◽  
Guy Fagherazzi ◽  
Tiphaine Vidal-trecan ◽  
Vanessa Juddoo ◽  
...  

<b><i>Objective:</i></b> Estimating glucose variability (GV) through within-day coefficient of variation (%CV<sub>w</sub>) is recommended for patients with type-1 Diabetes (T1D). High-GV (hGV) is defined as %CV<sub>w</sub>>36%. However, continuous glucose monitoring (CGM) devices provide exclusively total-CV (%CV<sub>T</sub>). We aimed to assess consequences of this disparity. <p><b><i>Research Design and Methods:</i></b> We retrospectively calculated both %CV<sub>T</sub> and %CV<sub>W </sub>of consecutive T1D patients from their CGM raw data during 14 days. Patients with hGV with %CV<sub>T</sub>>36% and %CV<sub>w</sub>≤36% were called the “inconsistent-GV group”.</p> <p><b><i>Results:</i></b> 104 patients were included. Mean %CV<sub>T</sub> and %CV<sub>w</sub> were 42.4+/-8% and 37.0+/-7.4% respectively (p<0.0001). Using %CV<sub>T</sub>, 81 patients (73.6%) were classified as hGV whereas 59 (53.6%) using %CV<sub>W </sub>(p<0.0001) corresponding to 22 patients (21%) in the “<i>inconsistent-GV</i> population”.</p> <p><b><i>Conclusions:</i></b> Evaluation of GV through %CV in patients with T1D is highly dependent on the calculation method and then must be standardized.</p>


2017 ◽  
Vol 19 (10) ◽  
pp. 572-579 ◽  
Author(s):  
Vikash Dadlani ◽  
Shrikant U. Tamhane ◽  
Aidong Sun ◽  
Anu Sharma ◽  
Danae A. Delivanis ◽  
...  

2021 ◽  
Vol 63 ◽  
pp. 32-39
Author(s):  
Rudolf Mörgeli ◽  
Tobias Wollersheim ◽  
Lilian Jo Engelhardt ◽  
Julius J. Grunow ◽  
Gunnar Lachmann ◽  
...  

2021 ◽  
Author(s):  
Jean-Baptiste Julla ◽  
Pauline Jacquemier ◽  
Guy Fagherazzi ◽  
Tiphaine Vidal-trecan ◽  
Vanessa Juddoo ◽  
...  

<b><i>Objective:</i></b> Estimating glucose variability (GV) through within-day coefficient of variation (%CV<sub>w</sub>) is recommended for patients with type-1 Diabetes (T1D). High-GV (hGV) is defined as %CV<sub>w</sub>>36%. However, continuous glucose monitoring (CGM) devices provide exclusively total-CV (%CV<sub>T</sub>). We aimed to assess consequences of this disparity. <p><b><i>Research Design and Methods:</i></b> We retrospectively calculated both %CV<sub>T</sub> and %CV<sub>W </sub>of consecutive T1D patients from their CGM raw data during 14 days. Patients with hGV with %CV<sub>T</sub>>36% and %CV<sub>w</sub>≤36% were called the “inconsistent-GV group”.</p> <p><b><i>Results:</i></b> 104 patients were included. Mean %CV<sub>T</sub> and %CV<sub>w</sub> were 42.4+/-8% and 37.0+/-7.4% respectively (p<0.0001). Using %CV<sub>T</sub>, 81 patients (73.6%) were classified as hGV whereas 59 (53.6%) using %CV<sub>W </sub>(p<0.0001) corresponding to 22 patients (21%) in the “<i>inconsistent-GV</i> population”.</p> <p><b><i>Conclusions:</i></b> Evaluation of GV through %CV in patients with T1D is highly dependent on the calculation method and then must be standardized.</p>


2020 ◽  
Vol 43 (12) ◽  
pp. 1823-1825
Author(s):  
M. Longo ◽  
◽  
L. Scappaticcio ◽  
F. Castaldo ◽  
A. Sarnataro ◽  
...  

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