scholarly journals Twenty-Four Hour Fasting (Basal Rate) Tests to Achieve Custom-Tailored, Hour-by-Hour Basal Insulin Infusion Rates in Patients With Type 1 Diabetes Using Insulin Pumps (CSII)

2019 ◽  
pp. 193229681988275
Author(s):  
Michael A. Nauck ◽  
Anna M. Lindmeyer ◽  
Chantal Mathieu ◽  
Juris J. Meier

Background: Twenty-four hour fasting periods are being used to scrutinize basal insulin infusion rates for pump-treated patients with type 1 diabetes. Methods: Data from 339 consecutive in-patients with adult type 1 diabetes on insulin pump therapy undergoing a 24-hour fast as a basal rate test were retrospectively analyzed. Hourly programmed basal insulin infusion rates and plasma glucose concentrations within, below, or above arbitrarily defined target ranges were assessed for periods of the day of special interest (eg, 01:00-07:00 am, “dawn” period, 04:00-07:00 pm, and “dusk” period). Statistics: χ2-tests, paired t-tests were used. Results: Basal rates (mean: 0.90 ± 0.02 IU/h) showed circadian variations with peaks corresponding to “dawn” (1.07 ± 0.02 IU/h from 01:00 to 07:00 am) and, less prominently, “dusk” (0.95 ± 0.02 IU/h from 03:00 to 07:00 pm). Individual mean plasma glucose concentrations averaged 6.6 ± 0.1 mmol/L, with 53.1% in the predefined “strict” (4.4-7.2 mmol/L) target range. Interestingly, during the “dawn” period, plasma glucose was significantly higher (by 0.5 ± 0.1 mmol/L [95% confidence interval: 0.3-0.8 mmol/L; P < .0001]) and the odds ratio for hypoglycemia was significantly lower compared to the reference period. Interpretation: Twenty-four hour fasting periods as basal rate tests frequently unravel periods with inappropriate basal insulin infusion rates potentially responsible for fasting hyper- or hypoglycemia. Notably, the higher basal insulin infusion rate found during the “dawn” period seems to be justified and may need to be accentuated.

2020 ◽  
pp. 193229682094993
Author(s):  
Anna M. Lindmeyer ◽  
Juris J. Meier ◽  
Michael A. Nauck

Background: Pump-treated patients with type 1 diabetes have widely differing basal insulin infusion profiles. We analyzed consequences of such heterogeneity for glycemic control under fasting conditions. Methods: Data from 339 adult patients with type 1 diabetes on insulin pump therapy undergoing a 24-hour fast (basal rate test) were retrospectively analyzed. Hourly programmed basal insulin infusion rates and plasma glucose concentrations as well as their proportions within, below, or above arbitrarily defined target ranges were assessed for specific periods of the day (eg, 1-7 hours, “dawn” period, 16-19 hours, “dusk” period, reference period 20-1 hours/10-14 hours), by tertiles of a predefined “dawn” index (mean basal insulin infusion rate during the “dawn” divided by the reference periods). Results: The “dawn” index varied interindividually from 0.7 to 4.4. Basal insulin infusion profiles exhibited substantial differences ( P = .011), especially overnight. Despite higher insulin infusion rates at 4 and 6.45 hours, patients with the most pronounced “dawn” phenomenon exhibited higher plasma glucose concentrations at those time points ( P < .012). Patients with a marked “dawn” phenomenon exhibited a lower probability for low (<4.4 mmol/L) and a higher probability of high values (>7.2 mmol/L) during the dawn period (all P values <.01). Conclusions: We observe substantial interindividual heterogeneity in the “dawn” phenomenon. However, widely different empirically derived basal insulin infusion profiles appear appropriate for individual patients, as indicated by similar plasma glucose concentrations, mainly in the target range, during a 24-hour fasting period.


2020 ◽  
pp. 193229682097269
Author(s):  
Michael A. Nauck ◽  
Melanie Kahle-Stephan ◽  
Anna M. Lindmeyer ◽  
Sina Wenzel ◽  
Juris J. Meier

Background: Basal rate profiles in patients with type 1 diabetes on insulin pump therapy are subject to enormous inter-individual heterogeneity. Tools to predict basal rates based on clinical characteristics may facilitate insulin pump therapy. Methods: Data from 339 consecutive in-patients with adult type 1 diabetes on insulin pump therapy were collected. Basal rate tests were performed over 24 hours. A mathematical algorithm to predict individual basal rate profiles was generated by relating the individual insulin demand to selected clinical characteristics in an exploratory cohort of 170 patients. The predicted insulin pump profiles were validated in a confirmatory cohort of 169 patients. Findings: Basal rates (0.27 ± 0.01 IU.d−1.kg−1) showed circadian variations with peaks corresponding to the “dawn” and “dusk” phenomena. Age, gender, duration of pump treatment, body-mass-index, HbA1c, and triacylglycerol concentrations largely predicted the individual basal insulin demand per day (IU/d; exploratory vs prospective cohorts: r2 = 0.518, P < .0001). Model-predicted and actual basal insulin rates were not different (exploratory cohort: Δ 0.1 (95% CI −0.9; 1.0 U/d; P = .95; prospective cohort: Δ −0.5 (95% CI −1.5; 0.6 IU/d; P = .46). Similarly, precise predictions were possible for each hour of the day. Actual and predicted “dawn” index correlated significantly in the exploratory but not in the confirmatory cohort. Interpretation: Clinical characteristics predict 52% of the variation in individual basal rate profiles, including their diurnal fluctuations. The multivariate regression model can be used to initiate or optimize insulin pump treatment in patients with type 1 diabetes.


2021 ◽  
Vol 49 (5) ◽  
pp. 323-329
Author(s):  
I. A. Barsukov ◽  
A. A. Demina ◽  
A. V. Dreval

Background: Numbers of patients with diabetes mellitus using insulin pumps have been increasing every year. Successful achievement of glycemic targets with continuous subcutaneous insulin infusion (CSII) is based on an adequate basal rate of infusion, carbohydrate coefficient and insulin sensitivity index. There are two approaches to basal insulin infusion rate, namely the flat one and the circadian; however, at present there is no convincing data on which one should be chosen at the start of insulin pump therapy.Aim: To compare two regimens of basal insulin infusion rate at initiation of insulin pump therapy in routine clinical practice.Materials and methods: We analyzed data from 120 patients with Type 1 diabetes mellitus, who were switched on insulin pump therapy in the Department of Endocrinology from 2017 to 2018. At initiation of CSII, 60 patients used the flat basal rate profile and the other 60 patients used the circadian basal rate, calculated with the Renner's scale. Safety of the two basal rate regimens was assessed based on glucose variability measured with continuous glucose monitoring during the first two days after the start of insulin pump therapy.Results: Mean (± SD) coefficients of variation in the groups with circadian and flat basal rate at Day  1 were 31.06±12.13 and 32.74±10.7, respectively (p=0.423); at Day 2, 26.78±11.27 and 28.83±10.7 (p=0.309). Median [Q1; Q3] areas under glucose curve (AUC) values above the glucose targets in the groups with circadian and flat basal rate at Day 1 were 0.37 [0.03; 0.89] and 0.48 [0.08; 1.75], respectively, at Day 2 0.44 [0.03; 1.57] and 0.31 [0.1; 1.5], respectively (p>0.05). Median glucose AUC values below the goal in groups with circadian basal rate and flat basal rate on the first day were 0.01 [0; 0.06] and 0.02 [0; 0.1], respectively (p=0.855), on the second day – 0.00 [0; 0.01] and 0.00 [0; 0.02], respectively (р=0.085). We also haven’t found any between-group differences in the prevalence of glucose deviations below and above the target, as well as in the time spent in normoglycaemia.Conclusion: The comparative analysis of two basal insulin rate regimens in Type 1 diabetic patients switched to insulin pump therapy has shown no significant differences between them. The use of Renner’s scale has no clinical advantages over the fixed basal insulin regimen at initiation of insulin pump therapy in adults.


2019 ◽  
Vol 21 (12) ◽  
pp. 727-735
Author(s):  
Stéphane Roze ◽  
Jayne Smith-Palmer ◽  
Simona de Portu ◽  
A. Zeynep Özdemir Saltik ◽  
Tuğba Akgül ◽  
...  

2019 ◽  
Vol 15 (1) ◽  
pp. 127-133 ◽  
Author(s):  
Michael Müller-Korbsch ◽  
Lisa Frühwald ◽  
Michael Heer ◽  
Maria Fangmeyer-Binder ◽  
David Reinhart-Mikocki ◽  
...  

Background: Glucose control during consecutive days of aerobic exercise has not been well studied. We assessed glycemia, insulin requirements, and carbohydrate (CHO) needs during two consecutive days of prolonged cycling in type 1 diabetes (T1D) adults using sensor-augmented insulin pump therapy. Methods: Twenty adults with well-controlled T1D and six healthy adults (for comparison) were enrolled. Assessments were made during two consecutive days of cycling activities (30 miles per day). On day 1 (D1), basal rates were reduced 50% and CHO intake was guided by real-time continuous glucose monitoring (rtCGM) data to maintain a target range (70-180 mg/dL). On day 2 (D2), basal insulin infusion was stopped for the first hour of biking and resumed at a minimal rate during biking. Carbohydrate intake one hour before, during, and ten minutes after biking was recorded. Times within/below target range, glycemic variability, and mean glucose were calculated from rtCGM data. Results: Among 17 T1D participants who completed the study, mean glucose levels at the start of cycling were slightly lower on D2 vs D1: 138 ± 16 mg/dL and 122 ± 16, respectively, P = NS. Type 1 diabetes participants achieved near-normal glucose levels at the end of both cycling events; however, the reduction in glucose was most notable at one hour into the event on D2 vs D1. Carbohydrate intake was notably lower during D2 vs D1 with no difference in time <54 mg/dL (both P = NS). Conclusions: Type 1 diabetes individuals using rtCGM-augmented insulin pump therapy can safely engage in consecutive days of prolonged aerobic exercise by significantly reducing insulin dosages with no increase in CHO intake.


PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0150604 ◽  
Author(s):  
Markus Laimer ◽  
Andreas Melmer ◽  
Julia K. Mader ◽  
Ingrid Schütz-Fuhrmann ◽  
Heide-Rose Engels ◽  
...  

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