Skip to main content
Erschienen in: Cardiovascular Diabetology 1/2019

Open Access 01.12.2019 | Original investigation

The association between fasting plasma glucose and glycated hemoglobin in the prediabetes range and future development of hypertension

verfasst von: Mika Geva, Gadi Shlomai, Anat Berkovich, Elad Maor, Avshalom Leibowitz, Alexander Tenenbaum, Ehud Grossman

Erschienen in: Cardiovascular Diabetology | Ausgabe 1/2019

Abstract

Background

Prediabetes is a well-established risk factor for progression to overt diabetes mellitus (DM), which is in turn associated with development of hypertension (HTN) and vice versa. However, the role of prediabetes and HbA1c in particular as an independent risk factor for the development of hypertension is unclear.

Aim

In this current study, we aimed to evaluate the association between both fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) levels in the prediabetes range and development of HTN among a large cohort of normotensive subjects.

Design and methods

We investigated 5016 normotensive participants without DM and other cardiovascular risk factors who were annually screened in a tertiary medical center. Subjects were divided into normoglycemic and prediabetic groups. Normoglycemia was defined as HbA1c < 5.7% and FPG < 100 mg/dl. Prediabetes was defined according to the ADA criteria, i.e., 6.5% > HbA1c ≥ 5.7% or impaired fasting glucose (IFG):126 mg/dl > FPG ≥ 100 mg/dl. Subgroup analysis was made by dividing participants into four groups according to FPG and HbA1C levels, i.e., normoglycemia, impaired HbA1c only, IFG only, and both parameters impaired.

Results

During a follow-up of 3.7 ± 2.9 years, 318 (6.3%) subjects developed HTN. A cumulative hazard function for the development of hypertension showed a 2.89-fold ([95% CI 2.19–3.83], p < .0001) increased risk for HTN in the prediabetic population. In a multivariable Cox proportional hazard regression model adjusted to common confounding risk factors for HTN, prediabetes was found to be independently associated with a 1.95-fold ([95%, CI 1.43–2.52] p < .0001) increased risk for hypertension. Impaired HbA1C only was not found to be independently associated with HTN, while IFG only showed a 2.13-fold (95%, [CI 1.46–3.11] p < .0001) increased risk for HTN compared to normoglycemic, and a 2.55-fold ([95% CI 1.85–3.51] p < .0001) increased risk for HTN when both parameters impaired.

Conclusion

Our study demonstrates that FPG in the prediabetes range, albeit not glycated hemoglobin, is independently and significantly associated with future development of HTN. Therefore, our findings further highlight the pivotal predictive role of IFG for HTN development as opposed to the limited independent role of abnormal HbA1c levels.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12933-019-0859-4) contains supplementary material, which is available to authorized users.
Mika Geva and Gadi Shlomai contributed equally to this work
Abkürzungen
DM
diabetes mellitus
HTN
hypertension
FPG
fasting plasma glucose
HbA1c
hemoglobin A1c
IFG
impaired fasting glucose
IHD
ischemic heart disease
CKD
chronic kidney disease
CVA
cerebrovascular accident
BMI
body mass index
SBP
systolic blood pressure
DBP
diastolic blood pressure
LDL
low-density lipoprotein
HDL
high-density lipoprotein
TG
triglycerides

Introduction

Hypertension (HTN) and diabetes mellitus (DM) are very common pathological entities, which very frequently co-exist [13] Both DM and HTN are associated with increased cardiovascular (CV) morbidity and mortality [4]. HTN and DM demonstrate substantial similarities in their clinical manifestations as well as the underlying pathophysiological mechanisms, such as inflammation and oxidative stress, obesity, and insulin resistance [1, 5, 6]. As much as one-third of hypertensive subjects are also insulin resistant and fulfill the diagnostic criteria for the metabolic syndrome [7]. The American Diabetes Association (ADA) defines prediabetes as either impaired fasting glucose (IFG) (i.e., fasting glucose levels of 100–125 mg/dl), impaired glucose tolerance (IGT) (i.e., glucose levels post 2-h oral glucose loading of 140–199 mg/dl), or an elevated hemoglobin A1c (HbA1c) level of 5.7% to 6.4% [8]. Prediabetes is a well-established risk factor for progression to overt DM [8], which is in turn associated with development of HTN [1, 9] and vice versa [10]. However, the role of prediabetes as an independent risk factor for the development of HTN necessitates further elucidation [1119]. Furthermore, data are scarce and somewhat conflicting regarding the specific prognosticator role of HbA1c in the prediabetic range and the development of future HTN [1720]. Therefore, in this current study, we aimed to evaluate the association between both fasting glucose and HbA1c levels in the prediabetes range and development of HTN among a large cohort of normotensive subjects.

Methods

Study population

The Chaim Sheba Medical Center Institute for Medical Screening performs approximately 10,000 annual examinations. The data source for this study is a computerized database established in 2000, to which all data are recorded. All participants are asymptomatic men and women examined annually at the Chaim Sheba Medical Center Institute for Medical Screening. All participants were outpatients referred by their insurance company and/or their employer. The annual examination includes filling a standard questionnaire regarding demographic characteristics, a complete medical history, lifestyle and health-related habits, and any unusual medical events which occurred since the previous encounter. The height and weight of all participants, wearing light clothing without shoes, were measured and recorded at each visit. Subjects underwent a thorough physical examination, and blood pressure (BP) was measured in the seated position after a 3 min rest period using a standard sphygmomanometer. The body mass index (BMI) was calculated as weight in Kg divided by the height in m2.
All participants had extensive Blood tests performed, such as complete blood count and a comprehensive metabolic panel, including but not limited to renal and liver function testing, serum electrolytes, FPG, HbA1c levels and additional analyses as needed.
The study was approved by the Chaim Sheba Medical Center ethical Helsinki board according (Approval no. 4451-17-SMC). Data were recorded anonymously. No individual consent was obtained.

Inclusion and exclusion criteria

The complete database included 11,630 individuals with measurements of fasting plasma glucose (FPG) and HbA1c. Individuals were excluded if they had HTN (n = 3624) or DM (n = 1266) at baseline or had only one clinic visit (n = 3025). HTN diagnosis was made based on prior diagnosis or use of anti-hypertensive medications. Participants without HTN but with BP readings ≥ 140 mmHg for systolic blood pressure (SBP) and/or ≥ 90 for diastolic blood pressure (DBP) (n = 744) were included.
Participants without a formal diagnosis of DM but with glycemic indices suggestive of DM (i.e., FPG ≥ 126 mg/dl or HbA1c ≥ 6.5%) were excluded as well (n = 415). We also excluded patients with co-morbidities associated with HTN such as ischemic heart disease (IHD, n = 56), chronic kidney disease (CKD, n = 118) and cerebrovascular events (CVA, n = 14). Thus, the final study cohort comprised 5016 normotensive participants without DM (Fig. 1).

Definitions and outcome measures

The primary outcome was the new onset of HTN. Subjects were considered to develop hypertension when, according to their primary care physicians, they had a new diagnosis of hypertension or started using antihypertensive medications. Patients with two separate BP readings ≥ 140 mmHg for SBP and/or ≥ 90 for DBP were referred for further evaluation by their primary care physician. Normoglycemia was defined as HbA1c < 5.7% and FPG < 100 mg/dl. Prediabetes was defined according to the ADA criteria, i.e., HbA1c ≥ 5.7% and < 6.5% or FPG ≥ 100 mg/dl and less than 126 mg/dl. DM was defined as either fasting plasma glucose greater than or equal to 126 mg/dl on two separate readings, self-reported history of DM or when the subject used insulin or oral hypoglycemic medications. Hypercholesterolemia was defined as total cholesterol of > 250 mg/dl, or a self-reported history of cholesterol-lowering medications use. Self-reported smoking status and physical activity level of participants were also obtained.

Laboratory analysis

All biochemical analyses were performed on fresh samples in the Chaim Sheba Medical Center, Tel Hashomer core laboratory facility, using the Olympus AU2700TM Chemistry-Immuno Analyzer (Olympus; Shinjuku, Tokyo, Japan).

Statistical analysis

Continuous data were compared with the Student t-test and 1-way analysis of variance. Categorical data were compared with the use of the χ2 test or Fisher exact test. We conducted Cox proportional hazard analysis to estimate the hazard ratio (HR) and 95% Confidence Interval (CI)s for developing HTN. We adjusted all groups for age, gender, statin use, smoking, physical activity, BMI, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides (TG), and systolic and diastolic BP. Further validation of confounders was conducted by multivariable interaction analysis. Statistical significance was accepted for a 2-sided p < .05. The statistical analyses were performed with IBM SPSS version 20.0 (Chicago, IL).

Results

The study population comprised 5016 individuals of whom 69.4% were men (Table 1). Mean follow up was 3.7 ± 2.9 years and mean age was 53.5 ± 9.9 years (Table 1). Among study participants 2619 (52.2%) were normoglycemic, and 2397 (47.8%) had prediabetes (Table 1). Notably, normoglycemic participants were significantly younger, were more likely to be women, had lower BMI, as well as lower SBP and DBP, lower TG levels and higher HDL levels compared with participants with prediabetes (Table 1). Those with prediabetes also had higher rates of statin use and lower rates of physical activity. There were no clinically significant differences between study groups concerning LDL levels and smoking status (Table 1).
Table 1
Baseline characteristics of study population
 
Total
n = 5016
Normal
n = 2619
Prediabetes
n = 2397
p value
Agea (year)
53.5 (9.9)
51.03 (9.7)
55.94 (9.7)
p < .0001
Male genderb (%)
3476 (69.4)
1678 (64.1)
1798 (75.2)
p < .0001
FPG (mg/dl)a
94.00 (10.72)
88.24 (7.49)
100.12 (10.27)
p < .0001
HbA1C %
5.5
5.2
5.8
p < .0001
BMIa
25.90 (3.75)
25.26 (3.73)
26.61 (3.64)
p < .0001
SBP (mmHg)a
120 (15)
117 (14)
122 (16)
p < .0001
DBP (mmHg)a
74 (10)
72 (10)
76 (10)
p < .0001
Statin useb (%)
181 (3.6)
75 (2.9)
106 (4.4)
p = .004
Current smokerb (%)
729 (14.4)
387 (14.8)
342 (14.4)
p = .688
Physically activeb (%)
3734 (74.7)
1995 (76.3)
1739 (73)
p = .008
LDL (mmole/l)a
122 (28)
122 (27)
122 (28)
p = .869
HDL (mmole/l)a
50 (13)
52 (14)
48 (12)
p < .0001
Triglycerides (mmole/l)a
121 (64)
113 (64)
129 (63)
p < .0001
FPG fasting plasma glucose, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, LDL low-density lipoprotein, HDL high-density lipoprotein
aValues are expressed as mean ± SD
bValues are expressed as absolute number (percentage of group)

Prediabetes is an independent risk factor for HTN

HTN developed in 318 participants (6.3%), 62 (2.4%) in the normoglycemia group and 269 (11.2%) in the prediabetes group. Kaplan–Meier survival analysis (Fig. 2a) showed that the cumulative probability for the development of HTN at 6 years of follow up was 8% in the normoglycemic group and 17% in the prediabetic group, reaching up to 10% and 33% at 12 years of follow up respectively, log-rank test p < .0001 for the overall difference between two groups. A cumulative hazard function for the development of hypertension showed a 2.89-fold ([95% CI 2.19–3.83], p < .0001) increased risk for HTN in the prediabetic population (Fig. 2b).
In a multivariable Cox proportional hazard regression model adjusted to common confounding risk factors for HTN, prediabetes was found to be independently associated with a 1.95-fold 95%, CI 1.43–2.52] p < .0001) increased risk for HTN (Table 2).
Table 2
Multivariable Cox regression model for the outcome of hypertension
 
HR
95% CI
p
Prediabetes vs. normoglycemic
1.95
1.46–2.62
< .0001
Age (each year)
1.01
.99–1.025
.066
Male sex
1.15
.83–1.59
.388
BMI
1.06
1.02–1.09
< .0001
SBP
1.03
1.02–1.04
< .0001
DBP
1.03
1.02–1.05
< .0001
LDL
.59
.99–1.00
.996
HDL
.21
.98–1.00
.993
Triglycerides
.73
.99–1.00
1.00
Statin use
1.27
.72–2.07
.346
Physically active
1.18
.91–1.53
.204
Smoking
1.10
.78–1.55
.569
FPG fasting plasma glucose, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, LDL low-density lipoprotein, HDL high-density lipoprotein
Additional independent associated risk factors for hypertension were systolic, and diastolic blood pressure, with every increment of 1 mmHg, was associated with a corresponding of 3.2% and 4% increased risk for HTN respectively, so as BMI with an increment of 1 unit of BMI was found to have a 5% increased risk for HTN. Other covariates such as age, gender, lipid profile, and statin use did not show any significance (Table 2). Interaction analysis for confounders factors: age, sex, BMI, LDL, HDL triglycerides, statin use, smoking and physically active demonstrated that the association of prediabetes with HTN was consistent in all subgroup analyzed suggesting an independent association.

The association of different measures of glycemic control and their association with HTN

We divided the study population into four groups according to their FPG and HbA1c levels. Group 1 included participants with normal levels of both FPG and HbA1C (FPG < 100 mg/dl HbA1c < 5.7%) (n = 2619). Group 2 included participants with normal FPG but impaired HbA1C (FPG < 100 mg/dl and 5.7% ≤ HbA1c < 6.5%) (n = 974). Group 3 included participants with normal HbA1c values but with IFG (100 ≤ FPG < 126 mg/dl and HbA1c < 5.7%) (n = 595) and group 4 included subjects with both parameters impaired in the prediabetes range (100 mg/dl ≤ FPG < 126 mg/dl and 5.7% ≤ HbA1c < 6.5%) (n = 828). Baseline characteristics for the subjects in the different sub-analysis groups are shown in Table 3.
Table 3
Baseline characteristics of participants according to FPG and HbA1c levels
 
Group 1
normal FPG, normal HbA1c (n = 2619)
Group 2
normal FPG, impaired HbA1c (n = 974)
Group 3
impaired FPG, normal HbA1c (n = 595)
Group 4
impaired FPG, impaired HbA1c
(n = 828)
Age (year)a,‡
51.03 (9.73)
56.79 (9.84)
53.88 (9.15)
56.42 (8.79)
Male gender (%)b,‡
1678 (64.1)
653 (67.3)
482 (81.1)
663 (80.3)
FPG (mg/dl)a
88.24 (7.49)
91.0 (8.31)
105.15 (5.05)
107.24 (6.25)
HbA1C %a
5.2 (3.7)
5.9 (3.7)
5.3 (3.5)
6.0 (3.6)
BMI
25.26
26.15
26.50
27.21
SBP (mmHg)a,‡
117 (14)
121 (15)
123 (17)
124 (16)
DBP (mmHg)a
72 (10)
75 (10)
76 (11)
77 (10)
Statin use (%)b
75 (2.9)
46 (4.7)
18 (3.0)
42 (5.1)
Current smoker (%)b
387 (14.8)
163 (16.8)
58 (9.8)
121 (14.7)
Physically active (%)b
1995 (76.3)
705 (72.8)
425 (71.9)
609 (74.2)
LDL (mmole/l)a
122 (27)
122 (28)
123 (26)
121 (29)
HDL (mmole/l)a,‡
52 (14)
50 (13)
47 (11)
47 (11)
Triglycerides (mmole/l)a, ‡
113 (64)
123 (59)
129 (66)
137 (64)
FPG fasting plasma glucose, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, LDL low-density lipoprotein, HDL high-density lipoprotein
aValues are expressed as mean ± SD
bValues are expressed as absolute number (percentage of group)
p-value for trend < .05 for comparison between group 2 and group 3
In a multivariable Cox proportional hazard regression model subjects in group 2 did not show a significant hazard risk for HTN compared to group 1 (Table 4), while group 3 was associated with a 2.13-fold (95%, [CI 1.46–3.11] p < .0001) increased risk for HTN compared to group 1 (Table 4). Participation in group 4 was associated with a 2.55-fold ([95% CI 1.85–3.51] p < .0001) increased risk for HTN compared to group 1 (Table 4). When assessed as a continuous covariate in a multivariable Cox proportional hazard regression model each 1 mg/dl increment in FPG was associated with a corresponding 4.6% increased risk for HTN (HR 1.04, CI 95%1.03–1.06, p < .0001), whereas an increment in HbA1c level was not significantly associated with an increased risk for HTN.
Table 4
Multivariable Cox regression model for the outcome of hypertension according to groups
 
HR
95% CI
p
Group 2 vs. Group1
1.27
.87–1.81
.213
Group 3 vs. Group 1
2.13
1.46–3.11
< .0001
Group 4 vs. Group 1
2.55
1.85–3.51
< .0001
Multivariate model was adjusted for: gender, age, BMI, SBP, DBP, LDL, HDL, TG, physical activity smoking and statin use
BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, LDL low-density lipoprotein, HDL high-density lipoprotein, TG triglycerides
Finally, we conducted subgroup analysis, with a stricter exclusion of possible undiagnosed baseline HTN in which in addition to the exclusion criteria of HTN diagnosis or hypertensive medication we also excluded participants who only had BP readings ≥ 140 mmHg for SBP and/or ≥ 90 mmHg for DBP in their first visit (n = 744) (Additional file 1: Table S1). The same analysis was conducted in this subgroup population (n = 4272). The results were the same to all analysis with even a higher hazard ratio for the development of HTN in the prediabetic group compare to the normoglycemic group (Additional file 1: Table S1), as well as in the four groups analysis (Additional file 1: Table S2).

Discussion

In this large retrospective cohort study, we demonstrated an independent significant association between FPG levels in the prediabetes range and future development of HTN. These findings further emphasize the role of insulin resistance in the pathogenesis of HTN. Several plausible pathophysiological mechanisms may underlie the association of impaired glycemic control and development of HTN; Elevated FPG has been previously associated with arterial stiffness [2123], most likely via oxidative stress and accumulation of glycation end products, and alterations in activities of vasoactive substances [2426]. Furthermore, in patients with DM, the integrity of the vascular wall is more susceptible to damage, specifically in the presence of CV risk factor and these macrovascular changes are also evident in the prediabetic phase [27, 28]. In addition to the well-established effects of insulin resistance and hyperglycemia on the macrocirculatory dysfunction, one must not ignore the role of glycemic dysregulation on the microcirculation. In particular, its role in the development of endothelial dysfunction and alterations in vascular extracellular matrix most likely secondary to inflammatory and pro-fibrotic alterations [28]. IFG and glycated hemoglobin represent different pathophysiological aspects of glycemic control; whereas IFG expresses increased hepatic glucose production in the fasting state, HbA1c encompasses glycemic control in the fasting state as well as post-prandial glucose levels [29]. Therefore, we also assessed the differential risk for HTN development among patients with prediabetes diagnosed by either isolated HbA1C criterion, isolated IFG criterion or both criteria. We found that elevated IFG was independently associated with increased risk of HTN, whereas impaired HbA1c as a sole criterion for prediabetes (i.e., with normal FPG) was not independently associated with increased risk for HTN. While HbA1c is a very useful tool in the diabetes management armamentarium, it has few notable caveats. First, it is a fairly crude measurement of glycemic control, and as such a single HbA1c percentage may represent a wide spectrum of glucose levels [8]. Second, because HbA1c represents the average glycated hemoglobin level, it often fails to properly account for extreme glucose values and for the glucose variability as well [8]. Furthermore, HbA1C levels are susceptible to false elevations and false reductions secondary to various medical comorbidities and substance abuse [8]. Several studies have previously described the association between IFG and HTN development [1119]. However, these studies have mainly been conducted among Asian participants [12, 1417, 19]. While Lee et al. found no association between IFG, IGT and HTN [12], other studies in Asian subjects found IFG to be an independent risk factor for development of HTN [1417, 19]. There are also studies conducted among Caucasians participants; however, these studies yielded conflicting results [11, 13, 30]. Interestingly, a predictive association of elevated fasting serum insulin with incident HTN in European Americans has also been previously reported [31]. As previously mentioned, FPG and HbA1c levels identify different pathological abnormalities in glucose metabolism [3234]. We currently found that individuals who had isolated impaired HbA1c had a distinctly different profile. They were significantly older and more likely to be women, had lower BMI, higher HDL cholesterol levels but lower TG levels and lower SBP compared with those who had IFG with normal HbA1c (Table 3). Similar findings were also previously reported in a large study of patients without DM [35]. The prognosticator role of HbA1c in the incidence of cardiovascular morbidity and mortality events is unclear; its’ associated risk is mostly attributed to confounding risk factors [3638]. In a recent Japanese population study, Kuwabara et al. did not find HbA1c to be an independent risk factor for developing HTN, whereas each 10 mg/dl increase in FPG was associated with a 42.2% increased risk for developing HTN over 5 years [17]. A similar pattern of a differential association of IFG rather than elevated HbA1c and incident HTN was also previously reported by Heianza et al. [19]. In addition, Britton et al. have shown that in women without diabetes HbA1c levels were not significantly associated with increased risk of HTN after adjustment for BMI [20]. These findings concur with the results of our current study showing a 4.6% increased risk for HTN for every 1 mg/dl increment of FPG and a twofold increased risk for HTN independently associated with IFG. Notably, in our study, the risk for HTN increased significantly by 19% when both measures of glycemic control, i.e., FPG and HbA1C were both impaired. Bower et al. have demonstrated that higher HbA1c in the prediabetic range was independently associated with incident self-reported HTN [18].
Our study is observational; hence we can only postulate regarding the underlying mechanisms responsible for the differential association of IFG and HbA1c and incident HTN. First, as HbA1c levels are influenced by the glycation of proteins in the body due to hyperglycemia, it has been suggested that glucose concentrations may more directly reflect the pathogenesis of the HTN development compared to HbA1c which is an indirect measure of dysglycemia [19]. Furthermore, a discordance between glucose level in the prediabetic or diabetic range and HbA1c values has been previously described by others [35, 39, 40], and thus may provide a possible explanation for our findings.
Our study has several strengths and limitations. First, our database relies on annual clinical and laboratory evaluation, which enables us to perform a time-based survival analysis for HTN development, which is expressed as Hazard Ratio, rather than a cumulative 5-years incidence rate as reported by previous studies [1117, 19]. We hypothesize that our annual data gathering and analysis permits superior delineation of HTN development over time compared to a cumulative 5-years incidence rate. Unlike previous studies [1117, 19], our definition of HTN was not based on a single BP measurement and in addition, we excluded the presence of white coat HTN and other etiologies that may cause falsely elevated BP measurement using a strict definition for new-onset HTN. To further emphasize and verify our results we performed a subgroup analysis with a stricter HTN free exclusion. Our findings support a higher hazard risk for HTN in our subgroup analysis as compared to the all-cohort analysis (Additional file 1: Tables S1, S2). There are several possible explanations for this finding. There could be a dominance of patients with white coat HTN, a paucity (n = 25) of extremely high BP levels, i.e., above 160/100 mmHg, or the relatively small number of participants and event rates in this group. Therefore, the subgroup analysis highlights our finding of prediabetes and IFG in particular as an independent and major risk factor for HTN. Our study has several limitations. First, this is a retrospective observational study. Second, our cohort comprises of middle-aged men and women with a higher-than-average socioeconomic status, higher rates of physically activity and lower BMI levels, all of which may limit the generalization capacity of our findings and attributes to the relatively low events rates of newly HTN in this cohort. In addition, our cohort had a relatively lower rate of women participants, which may preclude a significant sex effect on the development of HTN. Moreover, while our study is notable for using both PFG and HbA1C as indices of glycemic control, we did not have specific data regarding IGT.

Conclusion

In conclusion, our study demonstrates that FPG in the prediabetes range, albeit not glycated hemoglobin, is independently and significantly associated with future development of HTN. Therefore, our findings further highlight the pivotal predictive role of IFG for HTN development as opposed to the limited independent role of abnormal HbA1c levels.

Authors’ contributions

MG—participated in the study design, performed the statistics, manuscript draft writing; GS—participated in the study design, manuscript editing and supervision; AB—helped with data analysis; EM—data collection and statistical analysis; AL—participated in the study design; AT—participated in the study design, reviewed the manuscript; EG—conceived the study, participated in the study design, manuscript editing and supervision; All authors read and approved the final manuscript.

Acknowledgements

The authors would like to thank the Chaim Sheba Medical Center Institute for Medical Screening.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All the collected data is available upon request.
None needed.
The study was approved by the Chaim Sheba Medical Center ethical Helsinki board according (Approval no. 4451-17-SMC). Data were recorded anonymously. No individual consent was obtained.

Funding

None.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
2.
Zurück zum Zitat DeFronzo RA, Ferrannini E. Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care. 1991;14(3):173–94.CrossRef DeFronzo RA, Ferrannini E. Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care. 1991;14(3):173–94.CrossRef
3.
Zurück zum Zitat Shahim B, Gyberg V, De Bacquer D, Kotseva K, De Backer G, Schnell O, et al. Undetected dysglycaemia common in primary care patients treated for hypertension and/or dyslipidaemia: on the need for a screening strategy in clinical practice. A report from EUROASPIRE IV a registry from the EuroObservational Research Programme of the European Society of Cardiology. Cardiovasc Diabetol. 2018;17(1):21.CrossRefPubMedPubMedCentral Shahim B, Gyberg V, De Bacquer D, Kotseva K, De Backer G, Schnell O, et al. Undetected dysglycaemia common in primary care patients treated for hypertension and/or dyslipidaemia: on the need for a screening strategy in clinical practice. A report from EUROASPIRE IV a registry from the EuroObservational Research Programme of the European Society of Cardiology. Cardiovasc Diabetol. 2018;17(1):21.CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat Sowers JR, Epstein M, Frohlich ED. Diabetes, hypertension, and cardiovascular disease: an update. Hypertension (Dallas, Tex: 1979). 2001;37(4):1053–9.CrossRef Sowers JR, Epstein M, Frohlich ED. Diabetes, hypertension, and cardiovascular disease: an update. Hypertension (Dallas, Tex: 1979). 2001;37(4):1053–9.CrossRef
5.
Zurück zum Zitat Cheung BM, Wat NM, Tso AW, Tam S, Thomas GN, Leung GM, et al. Association between raised blood pressure and dysglycemia in Hong Kong Chinese. Diabetes Care. 2008;31(9):1889–91.CrossRefPubMedPubMedCentral Cheung BM, Wat NM, Tso AW, Tam S, Thomas GN, Leung GM, et al. Association between raised blood pressure and dysglycemia in Hong Kong Chinese. Diabetes Care. 2008;31(9):1889–91.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Messerli FH, Williams B, Ritz E. Essential hypertension. Lancet (London, England). 2007;370(9587):591–603.CrossRef Messerli FH, Williams B, Ritz E. Essential hypertension. Lancet (London, England). 2007;370(9587):591–603.CrossRef
7.
Zurück zum Zitat Ratto E, Leoncini G, Viazzi F, Vaccaro V, Parodi A, Falqui V, et al. Metabolic syndrome and cardiovascular risk in primary hypertension. J Am Soc Nephrol JASN. 2006;17(4 Suppl 2):S120–2.CrossRefPubMed Ratto E, Leoncini G, Viazzi F, Vaccaro V, Parodi A, Falqui V, et al. Metabolic syndrome and cardiovascular risk in primary hypertension. J Am Soc Nephrol JASN. 2006;17(4 Suppl 2):S120–2.CrossRefPubMed
8.
Zurück zum Zitat Association American Diabetes. Updates to the standards of medical care in diabetes-2018. Diabetes Care. 2018;41(9):2045–7.CrossRef Association American Diabetes. Updates to the standards of medical care in diabetes-2018. Diabetes Care. 2018;41(9):2045–7.CrossRef
9.
Zurück zum Zitat Sprafka JM, Bender AP, Jagger HG. Prevalence of hypertension and associated risk factors among diabetic individuals. The Three-City Study. Diabetes care. 1988;11(1):17–22.CrossRefPubMed Sprafka JM, Bender AP, Jagger HG. Prevalence of hypertension and associated risk factors among diabetic individuals. The Three-City Study. Diabetes care. 1988;11(1):17–22.CrossRefPubMed
10.
Zurück zum Zitat Gress TW, Nieto FJ, Shahar E, Wofford MR, Brancati FL. Hypertension and antihypertensive therapy as risk factors for type 2 diabetes mellitus. Atherosclerosis risk in communities study. N Engl J Med. 2000;342(13):905–12.CrossRefPubMed Gress TW, Nieto FJ, Shahar E, Wofford MR, Brancati FL. Hypertension and antihypertensive therapy as risk factors for type 2 diabetes mellitus. Atherosclerosis risk in communities study. N Engl J Med. 2000;342(13):905–12.CrossRefPubMed
11.
Zurück zum Zitat Fagot-Campagna A, Balkau B, Simon D, Ducimetiere P, Eschwege E. Is insulin an independent risk factor for hypertension? The paris prospective study. Int J Epidemiol. 1997;26(3):542–50.CrossRefPubMed Fagot-Campagna A, Balkau B, Simon D, Ducimetiere P, Eschwege E. Is insulin an independent risk factor for hypertension? The paris prospective study. Int J Epidemiol. 1997;26(3):542–50.CrossRefPubMed
12.
Zurück zum Zitat Lee CJ, Lim NK, Kim HC, Ihm SH, Lee HY, Park HY, et al. Impaired fasting glucose and impaired glucose tolerance do not predict hypertension: a community cohort study. Am J Hypertens. 2015;28(4):493–500.CrossRefPubMed Lee CJ, Lim NK, Kim HC, Ihm SH, Lee HY, Park HY, et al. Impaired fasting glucose and impaired glucose tolerance do not predict hypertension: a community cohort study. Am J Hypertens. 2015;28(4):493–500.CrossRefPubMed
13.
Zurück zum Zitat Levin G, Kestenbaum B, Ida Chen YD, Jacobs DR Jr, Psaty BM, Rotter JI, et al. Glucose, insulin, and incident hypertension in the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2010;172(10):1144–54.CrossRefPubMedPubMedCentral Levin G, Kestenbaum B, Ida Chen YD, Jacobs DR Jr, Psaty BM, Rotter JI, et al. Glucose, insulin, and incident hypertension in the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2010;172(10):1144–54.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Morio M, Inoue M, Inoue K, Akimoto K. Impaired fasting glucose as an independent risk factor for hypertension among healthy middle-aged Japanese subjects with optimal blood pressure: the Yuport Medical Checkup Centre retrospective cohort study. Diabetol Metab Syndr. 2013;5(1):81.CrossRefPubMedPubMedCentral Morio M, Inoue M, Inoue K, Akimoto K. Impaired fasting glucose as an independent risk factor for hypertension among healthy middle-aged Japanese subjects with optimal blood pressure: the Yuport Medical Checkup Centre retrospective cohort study. Diabetol Metab Syndr. 2013;5(1):81.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Suematsu C, Hayashi T, Fujii S, Endo G, Tsumura K, Okada K, et al. Impaired fasting glucose and the risk of hypertension in Japanese men between the 1980s and the 1990s. The Osaka Health Survey. Diabetes Care. 1999;22(2):228–32.CrossRefPubMed Suematsu C, Hayashi T, Fujii S, Endo G, Tsumura K, Okada K, et al. Impaired fasting glucose and the risk of hypertension in Japanese men between the 1980s and the 1990s. The Osaka Health Survey. Diabetes Care. 1999;22(2):228–32.CrossRefPubMed
16.
Zurück zum Zitat Zhao Y, Sun H, Wang B, Zhang M, Luo X, Ren Y, et al. Impaired fasting glucose predicts the development of hypertension over 6 years in female adults: results from the rural Chinese cohort study. J Diabetes Complicat. 2017;31(7):1090–5.CrossRefPubMed Zhao Y, Sun H, Wang B, Zhang M, Luo X, Ren Y, et al. Impaired fasting glucose predicts the development of hypertension over 6 years in female adults: results from the rural Chinese cohort study. J Diabetes Complicat. 2017;31(7):1090–5.CrossRefPubMed
17.
Zurück zum Zitat Kuwabara M, Chintaluru Y, Kanbay M, Niwa K, Hisatome I, Andres-Hernando A, et al. Fasting blood glucose is predictive of hypertension in a general Japanese population. J Hypertens. 2019;37(1):167–74.PubMed Kuwabara M, Chintaluru Y, Kanbay M, Niwa K, Hisatome I, Andres-Hernando A, et al. Fasting blood glucose is predictive of hypertension in a general Japanese population. J Hypertens. 2019;37(1):167–74.PubMed
18.
Zurück zum Zitat Bower JK, Appel LJ, Matsushita K, Young JH, Alonso A, Brancati FL, et al. Glycated hemoglobin and risk of hypertension in the atherosclerosis risk in communities study. Diabetes Care. 2012;35(5):1031–7.CrossRefPubMedPubMedCentral Bower JK, Appel LJ, Matsushita K, Young JH, Alonso A, Brancati FL, et al. Glycated hemoglobin and risk of hypertension in the atherosclerosis risk in communities study. Diabetes Care. 2012;35(5):1031–7.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Heianza Y, Arase Y, Kodama S, Hsieh SD, Tsuji H, Saito K, et al. Fasting glucose and HbA1c levels as risk factors for the development of hypertension in Japanese individuals: Toranomon hospital health management center study 16 (TOPICS 16). J Hum Hypertens. 2015;29(4):254–9.CrossRefPubMed Heianza Y, Arase Y, Kodama S, Hsieh SD, Tsuji H, Saito K, et al. Fasting glucose and HbA1c levels as risk factors for the development of hypertension in Japanese individuals: Toranomon hospital health management center study 16 (TOPICS 16). J Hum Hypertens. 2015;29(4):254–9.CrossRefPubMed
20.
Zurück zum Zitat Britton KA, Pradhan AD, Gaziano JM, Manson JE, Ridker PM, Buring JE, et al. Hemoglobin A1c, body mass index, and the risk of hypertension in women. Am J Hypertens. 2011;24(3):328–34.CrossRefPubMed Britton KA, Pradhan AD, Gaziano JM, Manson JE, Ridker PM, Buring JE, et al. Hemoglobin A1c, body mass index, and the risk of hypertension in women. Am J Hypertens. 2011;24(3):328–34.CrossRefPubMed
21.
Zurück zum Zitat Lukich E, Matas Z, Boaz M, Shargorodsky M. Increasing derangement of glucose homeostasis is associated with increased arterial stiffness in patients with diabetes, impaired fasting glucose and normal controls. Diabetes Metab Res Rev. 2010;26(5):365–70.CrossRefPubMed Lukich E, Matas Z, Boaz M, Shargorodsky M. Increasing derangement of glucose homeostasis is associated with increased arterial stiffness in patients with diabetes, impaired fasting glucose and normal controls. Diabetes Metab Res Rev. 2010;26(5):365–70.CrossRefPubMed
22.
Zurück zum Zitat Shin JY, Lee HR, Lee DC. Increased arterial stiffness in healthy subjects with high-normal glucose levels and in subjects with pre-diabetes. Cardiovasc Diabetol. 2011;10:30.CrossRefPubMedPubMedCentral Shin JY, Lee HR, Lee DC. Increased arterial stiffness in healthy subjects with high-normal glucose levels and in subjects with pre-diabetes. Cardiovasc Diabetol. 2011;10:30.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Tomiyama H, Hashimoto H, Hirayama Y, Yambe M, Yamada J, Koji Y, et al. Synergistic acceleration of arterial stiffening in the presence of raised blood pressure and raised plasma glucose. Hypertension (Dallas, Tex: 1979). 2006;47(2):180–8.CrossRef Tomiyama H, Hashimoto H, Hirayama Y, Yambe M, Yamada J, Koji Y, et al. Synergistic acceleration of arterial stiffening in the presence of raised blood pressure and raised plasma glucose. Hypertension (Dallas, Tex: 1979). 2006;47(2):180–8.CrossRef
24.
Zurück zum Zitat Lehmann ED, Gosling RG, Sonksen PH. Arterial wall compliance in diabetes. Diabet Med J Br Diabet Assoc. 1992;9(2):114–9.CrossRef Lehmann ED, Gosling RG, Sonksen PH. Arterial wall compliance in diabetes. Diabet Med J Br Diabet Assoc. 1992;9(2):114–9.CrossRef
25.
Zurück zum Zitat Safar ME, Levy BI, Struijker-Boudier H. Current perspectives on arterial stiffness and pulse pressure in hypertension and cardiovascular diseases. Circulation. 2003;107(22):2864–9.CrossRefPubMed Safar ME, Levy BI, Struijker-Boudier H. Current perspectives on arterial stiffness and pulse pressure in hypertension and cardiovascular diseases. Circulation. 2003;107(22):2864–9.CrossRefPubMed
26.
Zurück zum Zitat Zieman SJ, Melenovsky V, Kass DA. Mechanisms, pathophysiology, and therapy of arterial stiffness. Arterioscler Thromb Vasc Biol. 2005;25(5):932–43.CrossRefPubMed Zieman SJ, Melenovsky V, Kass DA. Mechanisms, pathophysiology, and therapy of arterial stiffness. Arterioscler Thromb Vasc Biol. 2005;25(5):932–43.CrossRefPubMed
27.
Zurück zum Zitat Madonna R, Balistreri CR, Geng YJ, De Caterina R. Diabetic microangiopathy: pathogenetic insights and novel therapeutic approaches. Vascul Pharmacol. 2017;90:1–7.CrossRefPubMed Madonna R, Balistreri CR, Geng YJ, De Caterina R. Diabetic microangiopathy: pathogenetic insights and novel therapeutic approaches. Vascul Pharmacol. 2017;90:1–7.CrossRefPubMed
29.
Zurück zum Zitat American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes care. 2014;37(Suppl 1):S81–90.CrossRef American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes care. 2014;37(Suppl 1):S81–90.CrossRef
30.
Zurück zum Zitat Vaccaro O, Imperatore G, Iovino V, Iovine C, Rivellese AA, Riccardi G. Does impaired glucose tolerance predict hypertension? A prospective analysis. Diabetologia. 1996;39(1):70–6.PubMed Vaccaro O, Imperatore G, Iovino V, Iovine C, Rivellese AA, Riccardi G. Does impaired glucose tolerance predict hypertension? A prospective analysis. Diabetologia. 1996;39(1):70–6.PubMed
31.
Zurück zum Zitat Liese AD, Mayer-Davis EJ, Chambless LE, Folsom AR, Sharrett AR, Brancati FL, et al. Elevated fasting insulin predicts incident hypertension: the ARIC study Atherosclerosis risk in communities study investigators. J Hypertens. 1999;17(8):1169–77.CrossRefPubMed Liese AD, Mayer-Davis EJ, Chambless LE, Folsom AR, Sharrett AR, Brancati FL, et al. Elevated fasting insulin predicts incident hypertension: the ARIC study Atherosclerosis risk in communities study investigators. J Hypertens. 1999;17(8):1169–77.CrossRefPubMed
32.
Zurück zum Zitat Guo F, Moellering DR, Garvey WT. Use of HbA1c for diagnoses of diabetes and prediabetes: comparison with diagnoses based on fasting and 2-hr glucose values and effects of gender, race, and age. Metab Syndr Related Disord. 2014;12(5):258–68.CrossRef Guo F, Moellering DR, Garvey WT. Use of HbA1c for diagnoses of diabetes and prediabetes: comparison with diagnoses based on fasting and 2-hr glucose values and effects of gender, race, and age. Metab Syndr Related Disord. 2014;12(5):258–68.CrossRef
33.
Zurück zum Zitat Hu Y, Liu W, Chen Y, Zhang M, Wang L, Zhou H, et al. Combined use of fasting plasma glucose and glycated hemoglobin A1c in the screening of diabetes and impaired glucose tolerance. Acta Diabetol. 2010;47(3):231–6.CrossRefPubMed Hu Y, Liu W, Chen Y, Zhang M, Wang L, Zhou H, et al. Combined use of fasting plasma glucose and glycated hemoglobin A1c in the screening of diabetes and impaired glucose tolerance. Acta Diabetol. 2010;47(3):231–6.CrossRefPubMed
34.
Zurück zum Zitat Ho-Pham LT, Nguyen UDT, Tran TX, Nguyen TV. Discordance in the diagnosis of diabetes: comparison between HbA1c and fasting plasma glucose. PLoS ONE. 2017;12(8):e0182192.CrossRefPubMedPubMedCentral Ho-Pham LT, Nguyen UDT, Tran TX, Nguyen TV. Discordance in the diagnosis of diabetes: comparison between HbA1c and fasting plasma glucose. PLoS ONE. 2017;12(8):e0182192.CrossRefPubMedPubMedCentral
35.
Zurück zum Zitat Heianza Y, Hara S, Arase Y, Saito K, Fujiwara K, Tsuji H, et al. HbA1c 5.7–6.4% and impaired fasting plasma glucose for diagnosis of prediabetes and risk of progression to diabetes in Japan (TOPICS 3): a longitudinal cohort study. Lancet (London, England). 2011;378(9786):147–55.CrossRef Heianza Y, Hara S, Arase Y, Saito K, Fujiwara K, Tsuji H, et al. HbA1c 5.7–6.4% and impaired fasting plasma glucose for diagnosis of prediabetes and risk of progression to diabetes in Japan (TOPICS 3): a longitudinal cohort study. Lancet (London, England). 2011;378(9786):147–55.CrossRef
36.
Zurück zum Zitat Haffner SM, Mykkanen L, Festa A, Burke JP, Stern MP. Insulin-resistant prediabetic subjects have more atherogenic risk factors than insulin-sensitive prediabetic subjects: implications for preventing coronary heart disease during the prediabetic state. Circulation. 2000;101(9):975–80.CrossRefPubMed Haffner SM, Mykkanen L, Festa A, Burke JP, Stern MP. Insulin-resistant prediabetic subjects have more atherogenic risk factors than insulin-sensitive prediabetic subjects: implications for preventing coronary heart disease during the prediabetic state. Circulation. 2000;101(9):975–80.CrossRefPubMed
37.
Zurück zum Zitat Jarmul JA, Pignone M, Pletcher MJ. Interpreting hemoglobin A1C in combination with conventional risk factors for prediction of cardiovascular risk. Circu Cardiovasc Qual Outcomes. 2015;8(5):501–7.CrossRef Jarmul JA, Pignone M, Pletcher MJ. Interpreting hemoglobin A1C in combination with conventional risk factors for prediction of cardiovascular risk. Circu Cardiovasc Qual Outcomes. 2015;8(5):501–7.CrossRef
38.
Zurück zum Zitat Pradhan AD, Rifai N, Buring JE, Ridker PM. Hemoglobin A1c predicts diabetes but not cardiovascular disease in nondiabetic women. Am J Med. 2007;120(8):720–7.CrossRefPubMedPubMedCentral Pradhan AD, Rifai N, Buring JE, Ridker PM. Hemoglobin A1c predicts diabetes but not cardiovascular disease in nondiabetic women. Am J Med. 2007;120(8):720–7.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Kim JH, Shin JH, Lee HJ, Kim SY, Bae HY. Discordance between HbA1c and fasting plasma glucose criteria for diabetes screening is associated with obesity and old age in Korean individuals. Diabetes Res Clin Pract. 2011;94(2):e27–9.CrossRefPubMed Kim JH, Shin JH, Lee HJ, Kim SY, Bae HY. Discordance between HbA1c and fasting plasma glucose criteria for diabetes screening is associated with obesity and old age in Korean individuals. Diabetes Res Clin Pract. 2011;94(2):e27–9.CrossRefPubMed
40.
Zurück zum Zitat Lipska KJ, De Rekeneire N, Van Ness PH, Johnson KC, Kanaya A, Koster A, et al. Identifying dysglycemic states in older adults: implications of the emerging use of hemoglobin A1c. J Clin Endocrinol Metab. 2010;95(12):5289–95.CrossRefPubMedPubMedCentral Lipska KJ, De Rekeneire N, Van Ness PH, Johnson KC, Kanaya A, Koster A, et al. Identifying dysglycemic states in older adults: implications of the emerging use of hemoglobin A1c. J Clin Endocrinol Metab. 2010;95(12):5289–95.CrossRefPubMedPubMedCentral
Metadaten
Titel
The association between fasting plasma glucose and glycated hemoglobin in the prediabetes range and future development of hypertension
verfasst von
Mika Geva
Gadi Shlomai
Anat Berkovich
Elad Maor
Avshalom Leibowitz
Alexander Tenenbaum
Ehud Grossman
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Cardiovascular Diabetology / Ausgabe 1/2019
Elektronische ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-019-0859-4

Weitere Artikel der Ausgabe 1/2019

Cardiovascular Diabetology 1/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Notfall-TEP der Hüfte ist auch bei 90-Jährigen machbar

26.04.2024 Hüft-TEP Nachrichten

Ob bei einer Notfalloperation nach Schenkelhalsfraktur eine Hemiarthroplastik oder eine totale Endoprothese (TEP) eingebaut wird, sollte nicht allein vom Alter der Patientinnen und Patienten abhängen. Auch über 90-Jährige können von der TEP profitieren.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Bei schweren Reaktionen auf Insektenstiche empfiehlt sich eine spezifische Immuntherapie

Insektenstiche sind bei Erwachsenen die häufigsten Auslöser einer Anaphylaxie. Einen wirksamen Schutz vor schweren anaphylaktischen Reaktionen bietet die allergenspezifische Immuntherapie. Jedoch kommt sie noch viel zu selten zum Einsatz.

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

25.04.2024 Hypertonie Nachrichten

Beginnen ältere Männer im Pflegeheim eine Antihypertensiva-Therapie, dann ist die Frakturrate in den folgenden 30 Tagen mehr als verdoppelt. Besonders häufig stürzen Demenzkranke und Männer, die erstmals Blutdrucksenker nehmen. Dafür spricht eine Analyse unter US-Veteranen.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.