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Hyperglycemia and nocturnal systolic blood pressure are associatedwith left ventricular hypertrophy and diastolic dysfunction in hypertensive diabetic patients

Abstract

Background

The aim of this study was to determine if hypertensive type 2 diabetic patients, when compared to patients with essential hypertension have an increased left ventricular mass index (LVMI) and a worse diastolic function, and if this fact would be related to 24-h pressoric levels changes.

Methods

Ninety-one hypertensive patients with type 2 diabetes mellitus (DM) (group-1 [G1]), 59 essential hypertensive patients (group-2 [G2]) and 26 healthy controls (group-3 [G3]) were submitted to 24-h Ambulatory Blood Pressure Monitoring (ABPM) and echocardiography (ECHO) with Doppler. We calculated an average of fasting blood glucose (AFBG) values of G1 from the previous 4.2 years and a glycemic control index (GCI) (percentual of FBG above 200 mg/dl).

Results

G1 and G2 did not differ on average of diurnal systolic and diastolic BP. However, G1 presented worse diastolic function and a higher average of nocturnal systolic BP (NSBP) and LVMI (NSBP = 132 ± 18 vs 124 ± 14 mmHg; P < 0.05 and LVMI = 103 ± 27 vs 89 ± 17 g/m2; P < 0.05, respectively). In G1, LVMI correlated with NSBP (r = 0.37; P < 0.001) and GCI (r = 0.29; P < 0.05) while NSBP correlated with GCI (r = 0.27; P < 0.05) and AFBG (r = 0.30; P < 0.01). When G1 was divided in tertiles according to NSBP, the subgroup with NSBP≥140 mmHg showed a higher risk of LVH. Diabetics with NSBP≥140 mmHg and AFBG>165 mg/dl showed an additional risk of LVH (P < 0.05; odds ratio = 11). In multivariate regression, both GCI and NSBP were independent predictors of LVMI in G1.

Conclusion

This study suggests that hyperglycemia and higher NSBP levels should be responsible for an increased prevalence of LVH in hypertensive patients with Type 2 DM.

Background

Clinical, epidemiologic and pathological data support the occurrence of a specific cardiomyopathy related to diabetes mellitus (DM) [13]. However, the exact cause of this complication is still being discussed. Proposed causes include metabolic abnormalities (hyperglycemia and changes in myocardial lipid metabolism), hypertension and autonomic neuropathy [36]. As DM is usually associated to hypertension and coronary arteriosclerosis [2] and they all can reduce myocardial performance, it's hard to dissociate cardiac abnormalities (LVH and diastolic dysfunction) originated from those conditions to that straightly related to metabolic changes of DM.

In 1992, Grossman et al [7], showed that hypertensive patients with DM, when compared to essential hypertensive patients, had a higher LVMI independent of office blood pressure. The principal determinant of the BP circadian pattern appears to be the sympathetic nervous system and DM has been associated with elevated levels of nocturnal BP [8]. We have demonstrated that the improvement of glycemic control may play an independent role in the reversal of LVH in hypertensive patients with type 2 DM [9]. Nevertheless, in our study, 24-h BP levels were not evaluated.

The purpose of this study was to determine if hypertensive type 2 diabetic patients, when compared to patients with essential hypertension have an increased LVMI and a worse diastolic function, and if this fact would be related to 24-h pressoric levels changes.

Methods

Patients

A total of 176 subjects recruited from our Hypertension Clinic during one year period were enrolled in this study. The 91 (64 women and 27 men) hypertensive patients with type 2 DM (group-1 [G1]), the 59 (46 women and 13 men) nondiabetic hypertensive patients (group-2 [G2]) and the 26 healthy control subjects (group-3 [G3]) were submitted to 24-h ABPM and to ECHO with Doppler to evaluate LVMI and diastolic function. ABPM was done after a 15 days washout of all antihypertensive drugs in order to evaluate patient's real blood pressure and minimize the effect of BP variations during the long period of cardiac hypertrophy development. Ten patients of G1 couldn't have their LVMI measured because of technical problems (narrow window: obesity); the other 81 remainders were divided in 3 subgroups (tertiles) based on their NSBP to stablish the prevalence of LVH. G1 had the following parameters calculated: the average of fasting blood glucose (AFBG) values and the glycemic control index (GCI).

All patients had normal levels of serum creatinine and only two had abnormal 24-h urinary protein excretion (>150 mg/24h). Patients with clinical or echocardiographic evidence of ischemic or valvular heart disease were not included in this study, nor were those with congestive heart failure, alcoholism or secondary or severe hypertension. Criteria for established hypertension were systolic and diastolic blood pressure≥140/90 mmHg on repeated measurements [10]. Diabetes was diagnosed according to the standart criteria [11]. Type 2 DM were indentified as those with disease onset at the age of 30 years or after with no need of insulin treatment. They were treated only with diet or diet plus oral antidiabetic agents (sulphonylureas, metformin, or acarbose) and antihypertensive drugs. None of them was treated with insulin during the study. This study was approved by the Institutional Ethics Committee.

Echocardiography

M-mode, two-dimensional echocardiographic and cardiac Doppler studies were performed using a commercially available echo-Doppler unit (Esaote Biomedica, Florence, Italy; model SIM 5000) equipped with a 2.5-MHz mechanical transducer. It was performed with patients in the partial left lateral supine position. M-mode measurements were performed acording to the recommendations of the American Society of Echocardiography [12]. Left ventricular mass (LVM) was calculated as previously recommended by Deveraux et al [13]. The LVMI was calculated by dividing LVM by the body surface area. LVH was present if LVMI was ≥134 g/m2 in men and ≥110 g/m2 in women [13, 14]. All examinations were analyzed blindly by one independent echocardiographer. Transmitral blood flow signals were obtained on top of mitral valve by apical 4-chamber-view and the following measurements were made on consecutive cardiac cycles: (1) peak flow velocity of early left ventricular (LV) filling (peak E), (2) peak flow velocity of late (atrial) LV filling (peak A), (3) early deceleration time (DT), (4) isovolumic relaxation period (IVR) and (5) the ratio between early and late diastolic flow velocity peaks (E/A ratio) (normal values: peak E>50 cm/s; peak A<80 cm/s; DT<240 ms; IVR<110 ms, and E/A ratio≥1) [15, 16]. All measurements of diastolic function were done with normal heart rate (60–100 bpm).

Ambulatory Blood Pressure Monitoring

The 24-hour ABPM recording was performed using a SpaceLabs – 90207 automatic cuff-oscillometric device (Spacelabs, Inc. Redmond, WA – USA) after 15 days washout of all antihypertensive drugs. Patients should keep their habitual routine and present a report with the activities done. Systolic and diastolic BP and heart rate were recorded at 15-minutes intervals during daytime and nighttime periods. Daytime period included all activities done from 8am to 8pm and the 8pm to 8am period was considered nighttime. After this, the average of systolic and diastolic BP was calculated for each hour, for daytime, nighttime and for the 24-hour period. The exam was considered reliable when at least 75% of the measurements were successfully executed. Moreover, it was calculated the nocturnal BP decrease ([diurnal systolic blood pressure - nocturnal systolic blood pressure] × 100/diurnal systolic blood pressure). It was considered normal values of nocturnal BP decrease greater than 10% (dippers) and patients that showed BP decrease lower than this value were called "nondippers". We used the absolute values of NSBP instead of nocturnal BP fall to divide the subgroups in tertiles because the first variable has a minor coefficient of variation (data not published).

Other measurements

To create a measure of the previous long-term glycemic control, the average of all fasting blood glucose (AFBG) values available before the study was calculated (mean period of 4.2 years and mean of 3.7 values of FBG/patient/year). A total of 1014 FBG were evaluated. If several FBG were recorded during a month, only the first value of the month was used. These FBG values were also used to calculate the glycemic control index (GCI) (percentual of FBG values above 200 mg/dl).

Statistical analysis

All normally distributed values were given as mean ± SD and all other values were given as median (range). In comparisons of the nonnormally distributed variables, the Kruskal-Wallis test on variance was used to test the differences between the three groups. If differences were found, the Mann-Whitney test was used for comparisons between two groups. For all normally distributed variables, analysis of variance was performed to test the differences among the three groups. If differences were found, the Student's t test was used for comparison between two groups. Fisher's exact or chi-squared tests for trend have been used to compare categorical data. For correlation analysis, correlation coefficients (Pearson or Spearman) were calculated. For regression analysis (forward stepwise regression), in a first model, the LVMI was used as a dependent variable and age, sex, body mass index (BMI), NSBP, GCI and diabetes and hypertension duration were used as independent variables. A second model of regression analysis was used with NSBP as dependent variable and age, BMI, AFBG and DM and hypertension duration as independent variables. A P value (two-tailed) less than 0.05 was considered statistically significant. All calculations were made with a commercially available program, SigmaStat 1.0 (Jandel Scientific Corporation, Chicago, Illinois).

Results

Clinical characteristics of the three groups are in table 1. In G1, the AFBG was 156 ± 41 mg/dl and duration of diabetes was 48 months (5 – 456). We also evaluated the antihypertensive drugs used during the year before the study. We found that diabetics, when compared to essential hypertensives, used more frequently ACE-inhibitors (30% vs 13%; P < 0.05; odds ratio = 2.9) and calcium antagonists (46% vs 15%; P < 0.05; odds ratio = 4.7) than others antihypertensive drugs (diuretics, beta-blockers, etc) (24% vs 72%; P < 0.05; odds ratio = 8.0).

Table 1 Clinical characteristics of study population

G1 and G2 did not differ in age, BMI, sex, duration of hypertension and average of diurnal systolic and diastolic BP, however healthy control subjects (G3) differed in diurnal BP levels when compared to G1 and G2 (table 1). There was no difference between office BP of diabetic hypertensive patients and nondiabetic hypertensive patients as well.

According to table 2, G1 presented higher NSBP and LVMI. Patients with DM also presented a worse diastolic function (DT and peak A) (table 2). Additionally, when compared G1 and G2, the first group showed more subjects with abnormal values of DT (45% vs 15%; P < 0.001; odds ratio = 3.4) and peak A (40% vs 16%; P < 0.05; odds ratio = 2.6).

Table 2 Nocturnal BP recording and ECHO with Doppler results in study population

In G1, LVMI correlated to NSBP (r = 0.37, P < 0.01) and GCI (r = 0.29, P < 0.05), while NSBP correlated to GCI (r = 0.27, P < 0.05) and AFBG (r = 0.30, P < 0.01).

When G1 was divided in tertiles according to NSBP (table 3), the subgroup with NSBP≥140 mmHg showed a higher risk of LVH (P < 0.001, odds ratio = 7.5 when compared to patients with NSBP≤124 mmHg and P < 0.01, odds ratio = 3.8 when compared to patients with NSBP between 124 and 140 mmHg). In the subgroup with NSBP≥140 mmHg, patients with LVH (n = 15) did not differ of patients with normal LVMI (n = 12), according to age, hypertension duration, NSBP and diurnal BP, however they presented a higher GCI (table 4). Furthermore, diabetics with NSBP≥140 mmHg and AFBG>165 mg/dl showed an additional risk of LVH (P < 0.05; odds ratio = 11) (figure 1).

Table 3 Clinical parameters of diabetic hypertensive patients (G1) based on their NSBP
Table 4 Subgroup with NSBP≥140 mmHg divided according to the presence of LVH
Figure 1
figure 1

Risk of left ventricular hypertrophy and average of fasting blood glucose values in the subgroup with nocturnal systolic blood pressure ≥140 mmHg. LVMI – left ventricular mass index AFBG – average of fasting blood glucose LVH – left ventricular hypertrophy

In G1, the first model of multivariate regression showed both GCI and NSBP as independent predictors of LVMI (r2 = 0.11; P < 0.01 and r2 = 0.08; P < 0.01, respectively). In the second model, only hypertension duration was an independent predictor of NSBP (r2 = 0.11, P < 0.01).

Discussion

The present study demonstrated that hypertensive patients with type 2 DM when compared to patients with essential hypertension presented higher NSBP and LVMI. These findings occurred independently of sex, age, BMI and diurnal BP levels. We have also found a worse diastolic function in diabetic patients.

Grossman et al [7], comparing hypertensive type 2 DM patients with essential hypertensives also found a higher LVMI in the first group. Nevertheless, they didn't evaluate the 24-h BP levels. We have confirmed these data and have showed that in hypertensives with type 2 DM, the NSBP could be a new important co-factor, that in addition to hyperglycemia, would be responsible for a higher prevalence of LVH in these patients.

Palmieri et al [17], evaluating almost 400 hypertensive diabetic patients in comparison with essential hypertensive, have found that the first group had higher LVM independently of BP levels. Furthermore, Tenenbaum et al [18] also described that type 2 DM was associated with a higher prevalence of LVH in hypertensive women but not in men. Finally, Galderisi et al [19], evaluating 1986 men and 1519 women from the original Framingham Study cohort, in a multivariate model, concluded that DM is an independent contributor to LVM. Nevertheless, all these authors have not performed ABPM in their studies.

There are several mechanisms that could be responsible for a lower fall of BP during sleep. Some authors have associated it to diabetic nephropathy (DN) [20] that could be explained by an increase of extracellular fluid [21]. In our study, only 2 of 91 diabetics had abnormal proteinuria and all of them had normal creatinine levels. Therefore, DN couldn't justify elevated NSBP in our group. According to Rutter et al [22], LVH is more common and severe in those with microalbuminuria and its presence may be related to raised night/day systolic blood pressure ratio. Nevertheless we have not done microalbuminuria in our patients.

Patients with type 2 DM are more stable in blood glucose control than patients with type 1 DM [23] and FBG has been commonly used to monitor glycemic control in type 2 diabetic patients treated with diet alone or oral hypoglycemic agents [24]. In both cross-sectional [2527] and prospective [28] studies a good correlation was shown between FBG and HbA1. In addition, the retrospective average of FBG values is considered a good index to establish a previous long-term glycemic control in patients with type 2 DM [29]. Hence, it is unlikely that the lack of HbA1 values to evaluate previous glycemic control could have influenced our results.

It has also been suggested that a poor glycemic control could be responsible for the increase of NSBP levels [30]. In fact, in our study, we found a positive correlation between these two variables. However, in our models of multiple regression, only hypertension duration was an independent predictor to NSBP. Furthermore, we found that both hyperglycemia and NSBP were independent predictors to LVMI. These findings support the hypothesis that hyperglycemia could not be directly responsible for the increased NSBP in diabetic patients, although it could have influenced on this parameter.

Autonomic neuropathy (AN) could be a via through hyperglycemia would elevate NSBP levels. Some studies have related AN to an increase of LVM [31] and to the loss of nocturnal BP decrease [8]. In addition, we compared normotensive diabetic patients with normal subjects and found that a higher score of AN was already correlated to a higher LVMI (data not published). AN could reduce the nocturnal BP falls through the reduction of vagal tonus and increase of cardiac output during sleep [21].

It has been described a correlation between hyperglycemia and LVMI in diabetic patients [4, 7] and some authors have suggested mechanisms to explain how hyperglycemia acts on cardiac mass [4]. Nevertheless, prospective data evaluating the effect of a better glycemic control on LVM are rare [9]. The retrospective average of FBG values is considered a good index to establish a previous long-term glycemic control in patients with type 2 DM [29]. Coutinho et al [32] have recently published a meta-regression analysis of 20 studies including 95,783 nondiabetic individuals who had 3,707 cardiovascular events and who were followed for 12.4 years. They showed that high fasting glucose values increased the risk for cardiovascular events. Fasting glucose of 109 mg/dl increased the risk of cardiovascular events by 1.33 compared with a fasting glucose of 75 mg/dl. Therefore, it is obvious that glucose level seems to be a risk factor for cardiovascular events even within a range that is below the diabetic threshold. Glucose is likely to be a continuous cardiovascular risk factor, similar to cholesterol and blood pressure. This study showed that diabetic patients with NSBP≥140 mmHg had a great increase on prevalence of LVH. In this subgroup, when the average of FBG was >165 mg/dl, the risk of LVH had an additional increment. These high values of FBG, that started to increase the risk of LVH, could be explained by the longer diabetes duration. Furthermore, Staessen et al [33], in a meta-analysis of 23 studies, including a total of 3,476 normal subjects, concluded that only levels ≥137 mmHg for NSBP should be considered as definite hypertension. This NSBP value is too close to the level that we found to start increasing the risk of LVH.

The coexistence of LVH and possible ischemic heart disease is a well-known phenomenon in general population and it has been suggested that ischemic heart disease is a consequence rather than a cause of LVH [34]. In addition, the findings of Ghali et al [35] and Fujita et al [36] suggest that the contribution of ischemia to enlarge LVM is rather small. We have not excluded silent ischemia, a condition claimed to be frequently present in type 2 DM. Nevertheless, this claim is based on noninvasive methods revealing a prevalence of ischemia in 36% [37] and 31% [38] of patients with type 2 DM. In contrast, coronary angiography only revealed prevalence of significant coronary artery disease in 8% and 11% of the diabetic patients included in the two above-mentioned studies, respectively. Therefore, ischemic heart disease does not seem to be an important contributor to the LVH in our patients.

It has been suggested that abnormalities in lipid metabolism could be involved in the pathogenesis of diabetic cardiomyopathy [5]. Nevertheless, we have recently demonstrated that, in hypertensive patients with type 2 DM, the reversal of LVH can occur independently of any variation on lipids levels [9].

Almost all of our diabetic patients were using anti-hypertensive drugs for more than one year before the study. Most of them were in use of ACE-inhibitors and calcium antagonists, which are recognized efficients at LVH regression in hypertensive patients [39]. Hence, the kind of antihypertensive used can not justify the higher LVMI in the diabetic group.

Salmasi et al [40] described that in hypertensive patients, left ventricular diastolic function is determined by LMVI and the status of preclinical glucose intolerance. Our study found a strong relation between NSBP and LVMI and no relation between NSBP and diastolic function, what suggests that the worse diastolic function in our diabetic hypertensive patients could be caused by a higher LVMI. Some authors have also found a worse diastolic function in diabetics and some of them considering these abnormalities as largely irreversible [3, 6, 41]. Although we have not observed a correlation between NSBP and diastolic function, a intensive control of nocturnal pressoric overload might contribute to an improvement of this function through a possible reversal of LVH.

Aepfelbacher et al [42] have described interventricular septal thickness decrease and left ventricular mass regression in type 1 diabetic patients with improved glycemic control. They have not found any BP variation evaluated by ABPM during their study. Nevertheless, a small number of patients were evaluated and LVM was also not adjusted by body surface area to calculate left ventricular mass index, that is the best parameter to evaluate cardiac hypertrophy. Moreover, type 2 diabetic patients also present other confounders (lipid levels, aterosclerosis disease, arterial hypertension, obesity) that may influence the results.

A BP overload, detectable by ambulatory recording and not by clinic measurements, may be a major determinant of left ventricular diastolic dysfunction and left ventricular mass increase [43]. Our study reinforces the existence of a specific cardiomyopathy related to DM where higher NSBP levels and hyperglycemia should be co-factors for an increased prevalence of LVH. The benefits of an intensive control of NSBP in hypertensive patients with type 2 DM need to be clarified, what will be only possible if we include ABPM in the routine exams of all type 2 diabetic patients.

References

  1. Rubler S, Dlugash J, Yuceoglu YZ, Kumral T, Branwood AW, Grishman A: New type of cardiomyopathy associated with diabetic glomeruloesclerosis. Am J Cardiol. 1972, 30: 595-602. 10.1016/0002-9149(72)90595-4.

    Article  CAS  PubMed  Google Scholar 

  2. Blumenthal HT, Alex M, Goldenberg S: A study of lesions of the intramural coronary artery branches in diabetes mellitus. Arch Pathol. 1960, 70: 13-28.

    Google Scholar 

  3. Fein FS: Diabetic cardiomyopathy. Diabetes Care. 1990, 13: 1169-1179.

    Article  CAS  PubMed  Google Scholar 

  4. Barbagallo M, Gupta R, Resnick L: Cellular ions in NIDDM: relation of calcium to hyperglycemia and cardiac mass. Diabetes Care. 1996, 19: 1393-1398.

    Article  CAS  PubMed  Google Scholar 

  5. Paulson DJ, Crass MF: Myocardial triacyglycerol fatty acid composition in diabetes mellitus. Life Sci. 1980, 27: 2237-2243. 10.1016/0024-3205(80)90390-2.

    Article  CAS  PubMed  Google Scholar 

  6. Uusitupa M, Mustonen J, Airaksinen J: Diabetic heart muscle disease. Ann Med. 1990, 22: 377-386.

    Article  CAS  PubMed  Google Scholar 

  7. Grossman E, Shemesh J, Shamiss A, Thaler M, Carroll J, Rosenthal T: Left ventricular mass in diabetes-hypertension. Arch Int Med. 1992, 152: 1001-1004. 10.1001/archinte.152.5.1001.

    Article  CAS  Google Scholar 

  8. Vicenza S, Menzinger G: Relationship between autonomic neuropahty, 24-h blood pressure profile, and nephropathy in normotensive IDDM patients. Diabetes Care. 1994, 17: 578-584.

    Article  Google Scholar 

  9. Felício JS, Ferreira SRG, Plavnik FL, Moisés V, Kohlmann O, Ribeiro AB, Zanella MT: Effect of blood glucose on left ventricular mass in patients with hypertension and type 2 diabetes mellitus. Am J Hypertens. 2000, 13 (11): 1149-1154. 10.1016/S0895-7061(00)01200-0.

    Article  PubMed  Google Scholar 

  10. Joint National Committe on Detection, Evaluation and Treatment of High Blood Pressure: The Fifth Report of The Joint National Committe on Detection, Evaluation and Treatment of High Blood Pressure (JNC V). Arch Intern Med. 1993, 153: 154-10.1001/archinte.153.2.154.

    Article  Google Scholar 

  11. National Diabetes Data Group: Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. Diabetes. 1979, 28: 1039-1057.

    Article  Google Scholar 

  12. Sahn DJ, DeMaria A, Kisslo J, Weyman A: Recommendations regarding quantification in M-mode echocardiography measurements. Circulation. 1978, 58: 1072-1083.

    Article  CAS  PubMed  Google Scholar 

  13. Devereux RB, Alonso DR, Lutas EM, Gottlieb GJ, Campo E, Sachs I, Reichek N: Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. Am J Cardiol. 1986, 57: 450-458. 10.1016/0002-9149(86)90771-X.

    Article  CAS  PubMed  Google Scholar 

  14. Levy D, Savage DD, Garrison RJ, Anderson KM, Kannel WB, Castelli WP: Echocardiographic criteria for left ventricular hypertrophy: the Framingham Heart Study. Am J Cardiol. 1987, 59: 956-960. 10.1016/0002-9149(87)91133-7.

    Article  CAS  PubMed  Google Scholar 

  15. Nishimura RA, Abel MD, Hatle LK, Tajek AL: Assessment of diastolic function of the heart: background and current aplications of Doppler echocardiography. Part II. Clinical studies. Mayo Clin Proc. 1989, 64: 181-204.

    Article  CAS  PubMed  Google Scholar 

  16. Devereux RB, Reichek N: Echocardiographic determination of left ventricular mass in man. Anatomic validation of the method. Circulation. 1977, 55: 613-618.

    Article  CAS  PubMed  Google Scholar 

  17. Palmieri V, Bella JN, Arnett DK, Liu JE, Obverman A, Schuck MY, Kitzman DW, Hopkins PN, Morgan D, Rao DC, Devereux RB: Effect of type 2 diabetes mellitus on left ventricular geometry and systolic function in hypertensive subjects: Hypertension Genetic Epidemiology Network (HyperGEN) study. Circulation. 2001, 103: 102-107.

    Article  CAS  PubMed  Google Scholar 

  18. Tenenbaum A, Fisman EZ, Schwammenthal E, Adler Y, Benderly M, Motro M, Shemesh J: Increased prevalence of left ventricular hypertrophy in hypertensive women with type 2 diabetes mellitus. Cardiovasc Diabetol. 2003, 23: 14-10.1186/1475-2840-2-14.

    Article  Google Scholar 

  19. Galderisi M, Anderson KM, Wilson PW, Levy D: Echocardiographic evidence for the existence of a distinct diabetic cardiomyopathy (the Framingham Heart Study). Am J Cardiol. 1991, 68: 85-89. 10.1016/0002-9149(91)90716-X.

    Article  CAS  PubMed  Google Scholar 

  20. Nielsen F, Rossing P, Bang L, Svendsen T, Gall M, Smidt U, Parving H: On the mechanisms of blunted nocturnal decline in arterial blood pressure in NIDDM patients with diabetic nephropathy. Diabetes. 1995, 44: 783-789.

    Article  CAS  PubMed  Google Scholar 

  21. Mulec H, Blohme G, Kullenberg K, Nyberg G, Björck S: Latent overhydration and nocturnal hypertension in diabetic nephropathy. Diabetologia. 1995, 38: 216-220.

    Article  CAS  PubMed  Google Scholar 

  22. Rutter MK, McComb JM, Fotster J, Brady S, Marshall SM: Increased left ventricular mass index and nocturnal systolic blood pressure in patients with Type 2 diabetes mellitus and microalbuminuria. Diabetic Medicine. 2000, 17 (4): 321-10.1046/j.1464-5491.2000.00262.x.

    Article  CAS  PubMed  Google Scholar 

  23. Molnar GD, Taylor WF, Longworthy A: On measuring the adequacy of diabetes regulation: comparison of continuously monitored blood glucose patterns with values at selected time points. Diabetologia. 1974, 10: 139-143. 10.1007/BF01219670.

    Article  CAS  PubMed  Google Scholar 

  24. Holman RR, Turner RC: The basal plasma glucose. a simple relevant index of maturity-onset diabetes. Diabetes. 1980, 14: 279-286.

    Google Scholar 

  25. Aleyassine H, Gardiner J, Toules DB, Koch P: Glycosylated haemoglobin in diabetes mellitus: correlation with fasting plasma-glucose, serum lipids and glucosuria. Diabetes Care. 1980, 3: 508-514.

    Article  CAS  PubMed  Google Scholar 

  26. Graf RJ, Holger JB, Porte D: Glycosylated haemoglobin in normal subjects and in subjects with maturity onset diabetes. Evidence for a saturable system in man. Diabetes. 1978, 27: 834-839.

    Article  CAS  PubMed  Google Scholar 

  27. Walinder O, Wibell L, Tuvemo T: Relation between haemoglobin A1 and determination of glucose in diabetes treated with and without insulin. Diabete Metab. 1980, 6: 251-255.

    CAS  PubMed  Google Scholar 

  28. Wettre S, Arnqvist HJ, Von Schenck H: Assessement of glycaemic control in non-insulin-dependent diabetes mellitus. Scand J Clin Lab Invest. 1993, 53: 163-170.

    Article  CAS  PubMed  Google Scholar 

  29. Andersson DKG, Svãrdsudd K: Long-term glycemic control relates to mortality in type II diabetes. Diabetes Care. 1995, 18: 1534-1543.

    Article  CAS  PubMed  Google Scholar 

  30. Hansen KW, Pedersen MM, Marshal SM, Christiansen JS, Mogensen CE: Circadian variation of blood pressure in patients with diabetic nephropathy. Diabetologia. 1992, 35: 1074-1079. 10.1007/BF02221684.

    Article  CAS  PubMed  Google Scholar 

  31. Gambardella S, Frontoni S, Spallone V: Increased left ventricular mass in normotensive diabetic patients with autonomic neuropathy. Am J Hypertens. 1993, 6: 97-102.

    CAS  PubMed  Google Scholar 

  32. Coutinho M, Gerstein HC, Yang Y, Yusuf S: The relationship between glucose and incident cardiovascular events: a meta-regression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. Diabetes Care. 1999, 22: 233-240.

    Article  CAS  PubMed  Google Scholar 

  33. Staessen JA, Fagard RH, Lijnen PJ, Thijs L, Hoof RV, Amery AK: Mean and range of the ambulatory pressure in normotensive subjects from a meta-analysis of 23 studies. Am J Cardiol. 1991, 1: 723-727. 10.1016/0002-9149(91)90529-T.

    Article  Google Scholar 

  34. Levy D, Garrison RJ, Savage DD, Kannel WB, Casteli WP: Prognostic implications of echocardiographically determined left ventricular mass in the Framingham Heart Study. N Eng J Med. 1990, 322: 1561-1566.

    Article  CAS  Google Scholar 

  35. Ghali KJ, Liao Y, Simmons B, Castaner A, Cao G, Cooper RS: The prognostic role of left ventricular hypertrophy in patients with and without coronary artery disease. Ann Intern Med. 1992, 117: 831-836.

    Article  CAS  PubMed  Google Scholar 

  36. Fujita M, Mikuniva A, McKnown DP, McKnown MD, Franklin D: Regional myocardial volume alterations induced by brief repeated coronary oclusions in conscious dogs. J Am Coll Cardiol. 1988, 12: 1048-1053.

    Article  CAS  PubMed  Google Scholar 

  37. Naka M, Hiramatsu Q, Aizawa T, Momose A, Yoshizawa K, Shigematsu S: Silent myocardial ischemia in patients with non-insulin-dependent diabetes mellitus as judged by treadmill exercise testing and coronary angiography. Am Heart J. 1992, 123: 46-53. 10.1016/0002-8703(92)90745-H.

    Article  CAS  PubMed  Google Scholar 

  38. Koistinen MJ: Prevalence of asymptomatic myocardial ischuemia in diabetic subjects. Br Med J. 1990, 301: 92-95.

    Article  CAS  Google Scholar 

  39. Cruickshank JM, Lewis J, Moore V, Dood C: Reversibility of left ventricular hypertrophy by differing types of antihypertensive teraphy. J Hum Hypertens. 1992, 6: 85-90.

    CAS  PubMed  Google Scholar 

  40. Salmasi AM, Rawlins S, Dancy M: Left ventricular hypertrophy and preclinical impaired glucose tolerance and diabetes mellitus contribute to abnormal left ventricular diastolic function in hypertensive patients. Blood Press Monit. 2005, 10 (5): 231-238. 10.1097/01.mbp.0000172710.82287.36.

    Article  PubMed  Google Scholar 

  41. Westo RS, Zarich SW, Jacob RM, Kamalesh M: From Heart disease in diabetes. Joslin's diabetes mellitus – 13th. Philadelphia. 1994, 836-851.

    Google Scholar 

  42. Aepfelbacher FC, Yeon SB, Weinrauch LA, D'Elia J, Burger AJ: Improved glycemic control induces regression of left ventricular mass in patients with type 1 diabetes mellitus. Int J Cardiol. 2004, 94: 47-51. 10.1016/j.ijcard.2003.04.012.

    Article  PubMed  Google Scholar 

  43. Cuspidi C, Lonati L, Sampieri L, Michev I, Macca G, Roccanova JI, Salerno M, Fusi V, Leonetti G, Zanchetti A: Prevelence of target organ damager in treated hypertensive patients : different impact of clinic and ambulatory blood pressure control. J Hypertens. 2000, 18: 803-809. 10.1097/00004872-200018060-00020.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to João S Felício.

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JF conceived of the study, participated in its design and coordination and performed the statistical analysis. JP, SF, FP and OK participated in the sequence alignment. VM carried out the echocardiography. AR and MZ participated in the design of the study. All authors read and approved the final manuscript.

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Felício, J.S., Pacheco, J.T., Ferreira, S.R. et al. Hyperglycemia and nocturnal systolic blood pressure are associatedwith left ventricular hypertrophy and diastolic dysfunction in hypertensive diabetic patients. Cardiovasc Diabetol 5, 19 (2006). https://doi.org/10.1186/1475-2840-5-19

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  • DOI: https://doi.org/10.1186/1475-2840-5-19

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