Literature DB >> 22991448

Frequency and severity of the dawn phenomenon in type 2 diabetes: relationship to age.

Louis Monnier1, Claude Colette, Mathieu Sardinoux, Gregory Baptista, Alyne Regnier-Zerbib, David Owens.   

Abstract

OBJECTIVE: To know whether age has an independent effect on the dawn phenomenon in noninsulin-using type 2 diabetes. RESEARCH DESIGN AND METHODS: Eighty-one individuals with type 2 diabetes were matched for HbA(1c) and divided by age into three subgroups of 27 individuals (1: ≥70 years; 2: 60-69 years; and 3: ≤59 years). All underwent ambulatory continuous glucose monitoring for quantifying the dawn phenomenon (i.e., the absolute [∂G, mg/dL] or relative [∂G%] increments from nocturnal nadirs to prebreakfast time points).
RESULTS: HbA(1c) levels and 24-h glycemic profiles were similar across the three groups. Glucose increments (mean ± SEM) were identical in the three groups: ∂G (mg/dL), 22.0 ± 4.7 (1), 21.3 ± 3.6 (2), and 18.0 ± 3.6 (3) and δG (%), 19.9 ± 4.9 (1), 21.6 ± 4.4 (2), and 17.6 ± 4.2 (3). Using the most common definition (∂G >10 mg/dL), the prevalence of the dawn phenomenon was 52, 70, and 59% in groups 1, 2, and 3, respectively.
CONCLUSIONS: The dawn phenomenon is present in the elderly.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22991448      PMCID: PMC3507613          DOI: 10.2337/dc12-0385

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


The dawn phenomenon is a feature of dysglycemia likely to be common in most subjects with type 1 or type 2 diabetes (1–3). However, the definition of this condition remains somewhat unclear, and controversy still exists about its magnitude and frequency, especially in elderly individuals with type 2 diabetes (4,5). For that reason, we set out to explore whether the magnitude and frequency of the dawn phenomenon in type 2 diabetes varied across different age categories.

RESEARCH DESIGN AND METHODS

This study was conducted in 81 individuals with type 2 diabetes who were divided into three groups of 27 patients according to whether the ages were ≥70 years (group 1), between 60 and 69 years (group 2), or ≤59 years (group 3). The three groups were matched for HbA1c. Modalities of treatment were classified into three categories and similarly distributed within the three groups: 1) insulin sensitizers alone (metformin and/or thiazolidinediones), 2) insulin secretagogues alone (sulfonylureas or glinides), and 3) combinations of insulin secretagogues and insulin sensitizers. The study was observational in design. All participants were investigated at the outpatient clinic of the University Hospital in Montpellier from 2005–2010 and gave informed consent in accordance with French law in article L-1121-1 of the Code for Public Health concerning the conductance of Biomedical Research (6). HbA1c levels were determined using a high-performance liquid chromatography assay (Menarini Diagnostic, Florence, Italy) (7). All patients underwent ambulatory continuous interstitial glucose monitoring for 3 consecutive days by second-generation Minimed systems (Medtronic, Northridge, CA). All calculations were derived from data averaged over a 48-h period on 2 consecutive days. The dawn phenomenon was quantified by detecting the exact time point and value of the glucose nadir during the nocturnal period (starting at midnight) and subtracting this value from that observed just before the beginning of breakfast. The breakfast time was recorded by each individual in a logbook. When all nocturnal glucose values were above the prebreakfast glucose value, the blood glucose rise in the early morning was considered to be absent, and its magnitude and duration were recorded as being equal to 0. The duration was assessed by measuring the time interval between the nadir and prebreakfast time points. On the basis of published studies (2,8,9), three definitions were used: an absolute dawn increase in glucose level above either 10 or 20 mg/dL and a relative increase >6.9% (10). The features of the dawn phenomenon as defined by these three criteria were compared among the three groups of subjects investigated. Results are given as means ± SEM. Comparisons of magnitude of the dawn phenomenon in the different groups were made using ANOVA. Prevalence of the dawn phenomenon was compared among the three groups by using the χ2 Fisher exact test for comparison of frequency. Statistical comparisons were considered significant when P values were ≤0.05. Analyses were performed with the Statview statistical package, version 5 for Macintosh (SAS Institute, Cary, NC).

RESULTS

The demographic characteristics of the patients were as follows in groups 1, 2, and 3, respectively: mean HbA1c levels ± SEM, 7.96 ± 0.28, 7.97 ± 0.29, and 7.97 ± 0.27%; mean age ± SEM, 73.4 ± 0.5, 64.0 ± 0.5, and 53.2 ± 1.1 years; and mean BMI ± SEM, 30.3 ± 1.2, 30.1 ± 1.0, and 29.9 ± 1.1 kg/m2. Mean glucose profiles are illustrated in Fig. 1. No statistical differences were observed among the three groups.
Figure 1

Twenty-four–hour continuous glycemic profiles (A) and prevalence of the dawn phenomenon expressed as percentage (B) in the three groups of patients divided according to whether ages were: ≥70 years (group 1, blue curve or columns), 60–69 years (group 2, red curve or columns), and ≤59 years (group 3, green curve or columns). The prevalence of the dawn phenomenon was calculated for the three definitions that were used: ∂G > 10 mg/dL, ∂G > 20 mg/dL, and ∂G > 6.9%. The mean breakfast time in the population considered as a whole is indicated by the vertical arrow (7:45 a.m.) with an SD of 55 min.

Twenty-four–hour continuous glycemic profiles (A) and prevalence of the dawn phenomenon expressed as percentage (B) in the three groups of patients divided according to whether ages were: ≥70 years (group 1, blue curve or columns), 60–69 years (group 2, red curve or columns), and ≤59 years (group 3, green curve or columns). The prevalence of the dawn phenomenon was calculated for the three definitions that were used: ∂G > 10 mg/dL, ∂G > 20 mg/dL, and ∂G > 6.9%. The mean breakfast time in the population considered as a whole is indicated by the vertical arrow (7:45 a.m.) with an SD of 55 min. In the three groups of patients, the absolute glucose increments (∂ glucose, mg/dL) from nocturnal glucose nadir to prebreakfast value were similar: 22.0 ± 4.7 mg/dL (group 1), 21.3 ± 3.6 mg/dL (group 2), and 18.0 ± 3.6 mg/dL (group 3). In addition, no differences were found when the results were expressed as relative glucose increments from value at nadir to those observed at prebreakfast time point (∂ glucose, %): 19.9 ± 4.9 (group 1), 21.6 ± 4.4 (group 2), and 17.6 ± 4.2 (group 3). Mean durations of the dawn phenomenon were not statistically different between the three groups: 171 ± 28 min (group 1), 204 ± 23 min (group 2), and 166 ± 27 min (group 3). Frequencies were similar between the different age-groups irrespective of the criteria used for the definition of the dawn phenomenon (Fig. 1).

CONCLUSIONS

The frequency of the dawn phenomenon did not differ when the subjects with type 2 diabetes were compared by age. In addition, the mean magnitude of blood glucose rise in the early morning from nocturnal nadirs to prebreakfast values did not show any difference among the groups and was equal to ∼20 mg/dL. One of the main strength of the current study is that the quantification of the dawn phenomenon was assessed with continuous glucose monitoring systems that permit calculation of the absolute differences between nocturnal nadirs and prebreakfast glucose values with an accuracy not previously available (11–13). Reverting to the frequency of the dawn phenomenon across categories of age, it must be noted that the percentages are similar for the different definitions that were used. As a consequence, this dysglycemic state should be taken into consideration in the treatment of individuals with type 2 diabetes, even of those who are >70 years of age. This position is reinforced by the fact that the dawn phenomenon is usually followed by an abnormally high postbreakfast glucose excursion, which corresponds to what is commonly referred to as the extended dawn phenomenon (11), a glycemic disorder that can be simply explained by the remnant effect of the hepatic glucose overproduction during the morning period (14) in combination with the dietary intake of carbohydrates at breakfast time. The dawn and extended dawn phenomena are both weak links in the management of many individuals with type 2 diabetes (11). The glycemic patterns as observed in the current study demonstrate that both phenomena are evident in elderly type 2 diabetic subjects >70 years old to the same extent as those who are <70 years old. In conclusion, failing to address the dawn and extended dawn phenomena can contribute to inadequate overall glycemic control and increase the risk for development or progression of diabetes complications even in the elderly. Due to the small size of the investigated population, the present results warrant further investigation.
  12 in total

1.  Evidence for a circadian rhythm of insulin sensitivity in patients with NIDDM caused by cyclic changes in hepatic glucose production.

Authors:  G Boden; X Chen; J L Urbain
Journal:  Diabetes       Date:  1996-08       Impact factor: 9.461

2.  The loss of postprandial glycemic control precedes stepwise deterioration of fasting with worsening diabetes.

Authors:  Louis Monnier; Claude Colette; Gareth J Dunseath; David R Owens
Journal:  Diabetes Care       Date:  2007-02       Impact factor: 19.112

3.  Intra-individual variation of glucose, specific insulin and proinsulin concentrations measured by two oral glucose tolerance tests in a general Caucasian population: the Hoorn Study.

Authors:  J M Mooy; P A Grootenhuis; H de Vries; P J Kostense; C Popp-Snijders; L M Bouter; R J Heine
Journal:  Diabetologia       Date:  1996-03       Impact factor: 10.122

4.  Frequency of the dawn phenomenon in type 2 diabetes: implications for diabetes therapy.

Authors:  Mary F Carroll; Kevin J Hardy; Mark R Burge; David S Schade
Journal:  Diabetes Technol Ther       Date:  2002       Impact factor: 6.118

Review 5.  Continuous glucose monitoring in patients with type 2 diabetes: Why? When? Whom?

Authors:  L Monnier; C Colette; C Boegner; T C Pham; H Lapinski; H Boniface
Journal:  Diabetes Metab       Date:  2007-02-21       Impact factor: 6.041

6.  NIDDM in the elderly.

Authors:  G S Meneilly; T Elliott; D Tessier; L Hards; H Tildesley
Journal:  Diabetes Care       Date:  1996-12       Impact factor: 19.112

Review 7.  The dawn phenomenon revisited: implications for diabetes therapy.

Authors:  Mary F Carroll; David S Schade
Journal:  Endocr Pract       Date:  2005 Jan-Feb       Impact factor: 3.443

8.  The "dawn phenomenon"--a common occurrence in both non-insulin-dependent and insulin-dependent diabetes mellitus.

Authors:  G B Bolli; J E Gerich
Journal:  N Engl J Med       Date:  1984-03-22       Impact factor: 91.245

9.  The dawn phenomenon and diabetes control in treated NIDDM and IDDM patients.

Authors:  J A Atiea; S Luzio; D R Owens
Journal:  Diabetes Res Clin Pract       Date:  1992-06       Impact factor: 5.602

10.  The dawn phenomenon, an early morning glucose rise: implications for diabetic intraday blood glucose variation.

Authors:  M I Schmidt; A Hadji-Georgopoulos; M Rendell; S Margolis; A Kowarski
Journal:  Diabetes Care       Date:  1981 Nov-Dec       Impact factor: 19.112

View more
  15 in total

1.  Growth hormone controls lipolysis by regulation of FSP27 expression.

Authors:  Rita Sharma; Quyen Luong; Vishva M Sharma; Mitchell Harberson; Brian Harper; Andrew Colborn; Darlene E Berryman; Niels Jessen; Jens Otto Lunde Jørgensen; John J Kopchick; Vishwajeet Puri; Kevin Y Lee
Journal:  J Endocrinol       Date:  2018-12-01       Impact factor: 4.286

2.  Nocturnal Glucose Metabolism in Type 1 Diabetes: A Study Comparing Single Versus Dual Tracer Approaches.

Authors:  Ashwini Mallad; Ling Hinshaw; Chiara Dalla Man; Claudio Cobelli; Rita Basu; Ravi Lingineni; Rickey E Carter; Yogish C Kudva; Ananda Basu
Journal:  Diabetes Technol Ther       Date:  2015-06-29       Impact factor: 6.118

Review 3.  Circadian clock, diurnal glucose metabolic rhythm, and dawn phenomenon.

Authors:  Fei Peng; Xin Li; Fang Xiao; Ruxing Zhao; Zheng Sun
Journal:  Trends Neurosci       Date:  2022-04-21       Impact factor: 16.978

Review 4.  Effect of growth hormone on insulin signaling.

Authors:  Rita Sharma; John J Kopchick; Vishwajeet Puri; Vishva M Sharma
Journal:  Mol Cell Endocrinol       Date:  2020-09-20       Impact factor: 4.102

5.  Magnitude of the dawn phenomenon and its impact on the overall glucose exposure in type 2 diabetes: is this of concern?

Authors:  Louis Monnier; Claude Colette; Sylvie Dejager; David Owens
Journal:  Diabetes Care       Date:  2013-10-29       Impact factor: 19.112

6.  Major Increases between Pre- and Post-breakfast Glucose Levels May Predict Nocturnal Hypoglycemia in Type 2 Diabetes.

Authors:  Soichi Takeishi; Akihiro Mori; Miyuka Kawai; Yohei Yoshida; Hiroki Hachiya; Takayuki Yumura; Shun Ito; Takashi Shibuya; Nobutoshi Fushimi; Noritsugu Ohashi; Hiromi Kawai
Journal:  Intern Med       Date:  2016-10-15       Impact factor: 1.271

7.  Investigating the Relationship between Morning Glycemic Variability and Patient Characteristics Using Continuous Glucose Monitoring Data in Patients with Type 2 Diabetes.

Authors:  Soichi Takeishi; Akihiro Mori; Miyuka Kawai; Yohei Yoshida; Hiroki Hachiya; Takayuki Yumura; Shun Ito; Takashi Shibuya; Nobutoshi Fushimi; Noritsugu Ohashi; Hiromi Kawai
Journal:  Intern Med       Date:  2017-06-15       Impact factor: 1.271

8.  Comparison of morning basal + 1 bolus insulin therapy (insulin glulisine + insulin glargine 300 U/mL vs insulin lispro + insulin glargine biosimilar) using continuous glucose monitoring: A randomized crossover study.

Authors:  Soichi Takeishi; Hiroki Tsuboi; Shodo Takekoshi
Journal:  J Diabetes Investig       Date:  2017-06-10       Impact factor: 4.232

9.  Poor Sleep Quality Is Associated with Dawn Phenomenon and Impaired Circadian Clock Gene Expression in Subjects with Type 2 Diabetes Mellitus.

Authors:  Yuxin Huang; Haidong Wang; Yuan Li; Xiaoming Tao; Jiao Sun
Journal:  Int J Endocrinol       Date:  2017-03-02       Impact factor: 3.257

10.  Thirty years of research on the dawn phenomenon: lessons to optimize blood glucose control in diabetes.

Authors:  Francesca Porcellati; Paola Lucidi; Geremia B Bolli; Carmine G Fanelli
Journal:  Diabetes Care       Date:  2013-12       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.