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Geometrical and functional changes of left heart in adults with prehypertension and hypertension: a cross-sectional study from China

BMC Cardiovascular Disorders volume 16, Article number: 114 (2016) Cite this article

Abstract

Background

Studies regarding the association between prehypertension and the structual changes of left heart are scanty. However, which type of the geometrical change of left heart is predominated one in prehypertension and hypertension is controversial. It is therefore important to investigate geometrical and functional changes of left heart in adults with prehypertension and hypertension because of their prognostic significance.

Methods

The study was based on a cross-sectional design, a total of 10547 participants were classified into normotension group, prehypertension group and hypertension group. We analyzed clinical characteristics, echocardiographic parameters and distribution of left ventricular (LV) geometrical patterns in different groups.

Results

Participants with prehypertension had higher values of most of echocardiographic parameters than those with normotension. The prevalence of left ventricular hypertrophy(LVH) was statistically different among three groups (P <0.001), and the rates of LVH in the three groups were 5.9, 8.6, 28.4 % by indexation to height2.7 and 4.9, 5.3, 19.3 % by indexation to BSA, respectively. The prevalence rates of eccentric hypertrophy, concentric remodeling and concentric hypertrophy were 7.3 %, 5.3 % and 1.4 % in prehypertension group, and 17.8 %, 8.8 % and 10.6 % in hypertension group. Logistic regression analysis showed that systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean artery pressure (MAP) were all independent risk factors for left cardiac structural changes, and pulse pressure (PP) was independent risk factor for concentric and eccentric hypertrophy. Among four indices, DBP levels with OR values of 1.192, 1.759 and 1.278 were the strongest indicator for concentric remodeling, concentric hypertrophy and eccentric hypertrophy, respectively (P <0.001).

Conclusions

There exists LV geometrical change in adults with prehypertension and hypertension in rural Chinese population, and the eccentric hypertrophy was the highest proportion of geometric alterations. SBP, DBP, MAP and PP were all positively associated with left cardiac structural changes, and the association of DBP was the strongest.

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Background

The type of LV geometrical change is determined mainly by the predominating type of stimulus to the myocardium, volume overload or pressure overload in hypertension [1]. Systolic and diastolic function of the left ventricle can be significantly influenced by the geometrical patterns which are also important in cardiovascular prognosis [2]. Three types of the geometrical change of the left ventricle include concentric remodeling, concentric hypertrophy, and eccentric hypertrophy [3]. The geometrical patterns vary from one patient to another, however, which is predominated type in hypertension and prehypertension is controversial. Prehypertension, as a transition from the normal blood pressure (BP) to the diagnosis of hypertension, is considered as a starting point in the cardiovascular disease (CVD) [4], has gradually attracted more attention in recent years. In 2003, the United States JNC7 defined prehypertension as SBP of 120–139 mmHg and (or) DBP of 80–89 mmHg [5]. Although persons do not have symptoms in prehypertensive stage, some geometrical and functional changes of the heart may be detected by echocardiography. Some investigators had reported that hypertensive patients had higher prevalence of geometrical and functional changes in left heart [6–8], but data regarding the association between prehypertension and geometrical and functional changes of left heart are scanty, especially in rural adults from Northeast China, where hypertension is prevalent. Therefore, we conducted this study to investigate geometrical and functional changes of left heart in adults with prehypertension and hypertension in Northeast rural Chinese population.

Methods

Study population

Liaoning Province is located in Northeast China. From January 2012 to August 2013, a representative sample aged ≥ 35 years was selected to describe the prevalence, incidence and natural history of cardiovascular risk factors in rural areas of Liaoning Province. The study adopted a multi-stage, stratified randomly cluster-sampling scheme. In the first stage, 3 counties (Dawa, Zhangwu, and Liaoyang County) were selected from the eastern, southern, and Northern region of Liaoning province. In the second stage, one town was randomly selected from each county (a total of 3 towns). In the third stage, 8–10 rural villages from each town were randomly selected (a total of 26 rural villages). Participants with pregnancy, malignant tumor and mental disorder were excluded. All the eligible permanent residents aged ≥ 35 years from each village were invited to attend the study (a total of 14016 participants). Of those, 11956 participants agreed and completed the present study and the response rate was 85.3 %. The study was approved by the Ethics Committee of China Medical University (Shenyang, China). All procedures were performed in accordance with the ethical standards. Written consent was obtained in all participants after they had been informed of the objectives, benefits, medical items and confidentiality agreement of personal information. If the participants were illiterate, we obtained the written informed consents from their proxies. In this report, subjects were excluded if they met any of the following criteria: congenital heart disease, cardiac tumor, myocardial infarction, pericardia disease, cardiomyopathy or other organic heart disease, all kinds of serious arrhythmia, heart valve disease (the valve with moderate to severe reflux or narrow). Finally, a total of 10547 participants were available for analysis, 3616 subjects with prehypertension, 5280 patients with hypertension and 1651 participants with normotension.

Blood pressure measurement

According to American Heart Association protocol, BP was measured three times at 2 min intervals after at least 5 min of rest using a standardized automatic electronic sphygmomanometer (HEM-907; Omron), which had already been validated according to the British Hypertension Society protocol [9]. The participants were advised to avoid caffeinated beverages and exercise for at least 30 min before the measurement. During the measurement, participants were seated with the arm supported at the level of the heart. The mean of three BP measures were averaged for analysis. According to the United States JNC7, PH was defined as SBP of 120–139 mmHg and (or) DBP of 80–89 mmHg. Hypertension was diagnosed as a SBP ≥140 mmHg and (or) a DBP ≥90 mmHg. Normotensive controls had SBP <120 mmHg and DBP <80 mmHg. PP was calculated by (SBP-DBP) and MAP was calculated by 1/3(SBP + 2DBP).

Echocardiography measurements

The echocardiograms were obtained using a commercially available Doppler echocardiograph (Vivid, GE Healthcare, United States), with a 3.0-MHz transducer. The transthoracic echocardiogram included M-mode, 2-dimensional, spectral and color Doppler with subjects in the supine position. Echocardiogram analyses and readings were performed by three physicians specialized in echocardiography. The parasternal acoustic window was used to record two-dimensional and M-mode images of the LV internal diameter, wall thickness, aortic root and left atrium. The apical acoustic window was used to record 4- and 5-chamber images.

Correct orientation of planes for imaging and Doppler recordings was verified using previously described procedures [10]. All M-mode tracings were obtained at 50 mm/s. LV end-diastolic internal dimension (LVIDd), LV end-systolic internal dimension (LVIDs), interventricular septal thickness (IVSd), posterior wall thickness (PWTd) and left atrial diameter (LAD), as well as aortic annular diameter (AOD) were performed according to the guidelines of the American Society of Echocardiography and the European Association of Echocardiography [11, 12].

Left ventricular mass (LVM) was estimated by Devereux’ s formula according to the American Society of Echocardiography simplified cubed equation [13]. LVM = 0.8 × [1.04{(IVSTd + PWTd + LVIDd)3–LVIDd3}] + 0.6 g.

LVM was divided by height2.7 and body surface area (BSA) to obtain left ventricular mass index (LVMIht2.7 and LVMIBSA). LVH was diagnosed using the following defining criteria [14, 15]: >48 g/m2.7 and 44 g/m2.7 for men and women respectively when LVM was indexed to height2.7, and >115 g/ m2 and >95 g/ m2 for men and women respectively when LVM was indexed to BSA. The relative wall thickness (RWT) was calculated using the formula (IVSd + PWTd) / LVIDd. Increased RWT was present when this ratio was >0.42 [16].

LV geometry was classified into four patterns using LVMIht2.7 and RWT values [8, 14]. These are normal geometry when LVMI was normal and RWT ≤ 0.42, concentric remodeling when LVMI was normal and RWT > 0.42, concentric hypertophy when LVMI was increased and RWT > 0.42, eccentric hypertrophy when LVMI was increased and RWT ≤ 0.42. The LV end-diastolic volume(LVEDV) and LV end-systolic volume(LVESV) were determined using the Teichholz equations [17]: LVEDV(ml) = LVIDd3 × 7.0/(2.4 + LVIDd), LVESV(ml) = LVIDs3 × 7.0/(2.4 + LVIDs). Using LVEDV and LVESV, the LV ejection fraction (EF) was calculated as [(LVEDV-LVESV)/LVEDV] × 100 % and LV fractional shortening (FS) was calculated as [(LVIDd-LVIDs)/LVIDd] × 100 %. All Doppler echocardiographic recordings were registered with 100 mm/s and performed in expiration. Examinations of mitral inflow were performed by pulsed wave Doppler with the sample volume at the mitral valve leaflet tips in the apical four-chamber view and early transmitral diastolic peak flow (E) and atrial peak flow (A) and E/A ratio were determined [16]. Diastolic dysfunction was defined as E/A <1. The individuals who presented pseudonormalization, defined as E/A at least one in conjunction with end-systolic LAD, in parasternal long axis view, more than 3.8 cm for women and 4.0 cm for men, were also considered as having diastolic dysfunction [18].

Covariate measurements and definitions

Information on covariates, such as age, gender and lifestyle, were collected during a single clinic visit by cardiologists and trained nurses using a standard questionnaire by face-to-face interview. Before the survey was performed, we invited all eligible investigators to attend the organized training. The training contents included the purpose of this study, how to administer the questionnaire, the standard method of measurement, the importance of standardization, and the study procedures. A strict test was evaluated after this training, only those who scored perfectly on the test could become investigators. During data collection, our inspectors had further instructions and support.

Weight and height were measured to the nearest 0.1 kg and 0.1 cm respectively with the participants in light weight clothing and without shoes. Waist circumference (WC) was measured at the umbilicus using a non-elastic tape (to the nearest 0.1 cm), with the participants standing at the end of normal expiration. Body mass index (BMI) was calculated as weight in kilograms divided by the square of the height in meters. BSA was calculated as [0.0061 × height (cm) + 0.0128 × weight (kg)-0.1529].

Fasting blood samples were collected in the morning after at least 12 h of fasting for all participants. Blood samples were obtained from an antecubital vein into Vacutainer tubes containing EDTA. Fasting plasma glucose (FPG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), plasma creatine (PC), uric acid (UA) and other routine blood biochemical indexes were analyzed enzymatically on an autoanalyzer. All laboratory equipment was calibrated and blinded duplicate samples were used.

Statistical analysis

Continuous variables were presented as the means and standard deviation (SD), and categorical variables were expressed as numbers or percentages. Differences among categories were evaluated using ANOVA, non-parametric test or the χ2-test as appropriate. Multivariate logistic regression analyses were used to identify independent factors of SBP, DBP, MAP, and PP with odds ratios (ORs) and corresponding 95 % confidence intervals (CIs) calculated. All the statistical analyses were performed using SPSS version 17.0 software, and P values less than 0.05 were considered statistically significant.

Results

Clinical characteristics

As shown in Table 1, of the 10547 participants, 54.2 % participants were women, 5280 (50.1 %) and 3616 (34.3 %) met JNC-7 criteria for prehypertension and hypertension, respectively. Compared with the normotension group, hypertension and prehypertension groups were more likely to have higher weight, WC, BSA and BMI. Both the hypertension and prehypertension groups had higher SBP, DBP, MAP, PP, TG, TC, LDL-C, FPG, hemoglobin and UA than the normotension group. The hypertension group had significantly higher PC, but it did not differ statistically between prehypertension and normotension group.

Table 1 Baseline characteristics for normotension, prehypertension and hypertension
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Echocardiographic parameters comparison

Compared with the normotension group, LVIDd, LVIDs, LVM, LVMI, AOD, LAD, LAD/BSA, A wave, LVEDV, LVESV and SV were significantly higher, while E wave and E/A were significantly lower in prehypertension group (P <0.05). Among the three subgroups, hypertension group had the highest IVSd, PWTd, LVIDd, LVIDs, LVM, LVMI, RWT, AOD, LAD, LAD/BSA, A wave, LVEDV, LVESV and SV, and the lowest E wave, E/A, LVEF and FS (P <0.001). The prevalence of LVH was statistically different among three groups (P < 0.001), and the rates of LVH in the three groups were 5.9, 8.6, 28.4 % by indexation to height2.7 and 4.9, 5.3, 19.3 % by indexation to BSA, respectively (Table 2).

Table 2 Echocardiographic parameters comparison of normotension, prehypertension and hypertension
Full size table

Distribution of LV geometrical pattern

Classification of LV geometry showed that the eccentric hypertrophy was the highest proportion of geometric alterations in hypertension and prehypertension groups.in the present study population. The prevalence rates of eccentric hypertrophy, concentric remodeling and concentric hypertrophy were 7.3 %, 5.3 % and 1.4 % in prehypertension group, and 17.8 %, 8.8 % and 10.6 % in hypertension group (Table 3).

Table 3 Classification of LV geometry according to gender and BP groups
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Association of BP indices with left heart remodeling in prehypertension and hypertension group

After adjustment for age, gender, race, height, weight, WC, heart rate, smoking, drinking, salt, degree of physical labor and education, TG, TC, HDL-C, LDL-C, FPG, PC, hemoglobin and UA and antihypertensive medication, logistic regression models were performed to estimate the relationship of four BP indices with LV remodeling in prehypertension and hypertension groups. Results showed that SBP, DBP and MAP were all independent risk factors for left cardiac structural changes, and PP was independent risk factor for concentric and eccentric hypertrophy. Among four BP indices, DBP was the strongest indicator for LV remodeling (Table 4).

Table 4 Multiple logistic regression analysis of BP for left heart remodeling in prehypertension and hypertension goups
Full size table

Discussion

Our research showed that LV remodeling was found in prehypertension group. Although there were no significantly differences in IVSd, PWTd, RWT between prehypertension and normotension group, the values of LVIDd, LVIDs, LVMI, LVEDV, LVESV and SV that reflect ventricular volume indexes were significantly higher in prehypertension group than normotension group, which suggested that there existed cardiac enlargement, LV remodeling and increased LV volume in prehypertensive status. However, hypertension can produce more obvious myocardial cell compensatory enlargement, LV hypertrophy, LV remodeling and volume increases [19]. The prevalence of LVH was statistically different among three groups and the rates of LVH were higher when LVM was indexed to height2.7 than to BSA in our study. BSA has been widely used to normalize LVM, however, this does not correctly identify pathological LV hypertrophy in all people, especially when body composition is altered, or in different ethnic groups and may not account for the resultant variation in LVM. Indexation by height2.7 may be considered a more suitable approach to scaling LVM for body size in recent years, especially in obese and overweight hypertensive patients, to some extent independently from the cut-off settled. Considering the presence of a significative difference in BMI between the three groups in our study, we indexed LVM by height2.7 to classify LV geometry in order to minimize the interference of obesity [19–21]. Impaired LV diastolic dysfunction happened earlier than systolic dysfunction and was followed by a decrease in early-diastolic ventricular filling and a greater atrial contribution to ventricular filling in the late-systolic period [22]. Our study showed that hypertension and prehypertension groups had lower E wave and E/A, but higher A wave. No significant differences in contractility indexes between normotension and prehypertension groups indicated that myocardial total systolic function had not yet been compromised despite LV geometric abnormalities at the stage of prehypertension. LAD, as evidence of diastolic dysfunction, was significantly progressive enlargement from prehypertension to hypertension group.

According to LV hemodynamic changes, LV geometrical change can be classified into three types: concentric remodeling, concentric hypertrophy and eccentric hypertrophy. This is determined to a large extent by whether pressure or volume overload is predominating. Approximately 7.3 % of prehypertensive participants and 17.8 % of hypertensive ones in our study had eccentric hypertrophy which was the highest proportion of abnormal geometrical changes in the our study population. On the one hand, the high prevalence of eccentric hypertrophy may be related to the status of volume overload which play a key role in LV adaptations in hypertension or the high prevalence of obesity [23–25]. On the other hand, subjects in hypertension and prehypertension groups with eccentric geometry are more likely to have coronary artery disease than patients with concentric geometry [26]. Previous studies had indicated that coronary flow reserve was obviously impaired in patients with prehypertension and hypertension, and may occur in the early stage before apparent hypertrophy, which may cause subsequent ischemia, as a consequence of postischemic remodeling [27]. Consistent with our results, some other studies had also showed the similar results that eccentric hypertrophy was the most frequent pathological pattern of LV remodeling [28–30]. However, some studies also reported that concentric remodeling and concentric hypertrophy were the predominant among their studied population with hypertension [31–34]. The difference can partly be explained by difference in echocardiographic cut-off values for defining LVH and the heterogeneity of different population [8]. Besides, our study showed that participants with LV geometrical changes were more likely to be females. It suggested that the women’s hearts were more susceptible to trophic stimuli and neurohumoral factors which may be associated with LV gender-dependent response effect [35, 36]. Eccentric and concentric remodeling were associated with increased weight, BMI, and WC. So in our study, some participants with normotension had LV remodeling. However, LV remodeling was as expected more frequent in the persons suffering from prehypertension or hypertension.

Results from multivariate logistic regression analysis showed that SBP, DBP, MAP and PP were all positively associated with left cardiac structural changes. DBP was the strongest risk factor for concentric remodeling, concentric hypertrophy and eccentric hypertrophy. Thus, it reminds us to strengthen the control of hypertension and pay more attention to prehypertensive status, in order to delay the cardiac damage and the onset of heart failure [37].

This study has some limitations. First, our data is a referral and not a general adult population throughout China. Second, although we made extensive efforts to standardize measurements using the same echocardiographic criteria, subtle differences in performance technique among doctors could still influenced results. In addition, our results were based on a cross-sectional design, thus we are unable to assess the duration of hypertension and antihypertensive medication exactly.

Conclusions

In this study, there existed LV remodeling and geometrical change in prehypertensive status, and more obvious myocardial cell compensatory enlargement, LV hypertrophy, LV remodeling and volume increases in adults with hypertension in rural Chinese population. The prevalence of LVH was statistically different among three groups and the rates of LVH were higher when LVM was indexed to height2.7 than to BSA. The eccentric hypertrophy was the commonest abnormal geometrical pattern in our study and LV geometrical changes were more likely to be females. SBP, DBP, MAP and PP were all positively associated with left cardiac structural changes, and the association of DBP was the strongest.

Abbreviations

A, atrial peak flow; AOD, Aortic annular diameter; BMI, Body mass index; BP, Blood pressure; BSA, Body surface area; CVD, Cardiovascular disease; DBP, Diastolic blood pressure; E, Early transmitral diastolic peak flow; FPG, Fasting plasma glucose; HDL-C, High-density lipoprotein cholesterol; IVSd, Interventricular septal thickness; LAD, Left atrial diameter; LDL-C, Low-density lipoprotein cholesterol; LV, Left ventricular; LVEDV, LV end-diastolic volume; LVESV, LV end-systolic volume; LVH, Left ventricular hypertrophy; LVIDd, LV end-diastolic internal dimensionn LVIDs; LV end-systolic internal dimension; LVM, Left ventricular mass; LVMI, Left ventricular mass index; MAP, Mean artery pressure; PC, Plasma creatine; PP, Pulse pressure; PWTd, Posterior wall thickness; RWT, Relative wall thickness; SBP, Systolic blood pressure; TC, Total cholesterol; TG, Triglyceride; WC, Waist circumference.

References

  1. Conrady AO, Rudomanov OG, Zaharov DV, Krutikov AN, Vahrameeva NV, Yakovleva OI, et al. Prevalence and determinants of left ventricular hypertrophy and remodelling patterns in hypertensive patients: the St. Petersburg study. Blood Press. 2004;13(2):101–9.

    Article  CAS  PubMed  Google Scholar 

  2. Balci B, Yilmaz O. Influence of left ventricular geometry on regional systolic and diastolic function in patients with essential hypertension. Scand Cardiovasc J. 2002;36(5):292–6.

    Article  PubMed  Google Scholar 

  3. Ganau A, Devereux RB, Roman MJ, de Simone G, Pickering TG, Saba PS, et al. Patterns of left ventricular hypertrophy and geometric remodeling in essential hypertension. J Am Coll Cardiol. 1992;19(7):1550–8.

    Article  CAS  PubMed  Google Scholar 

  4. Schunkert H. Pharmacotherapy for prehypertension: mission accomplished? [comment]. N Engl J Med. 2006;354:1742–4.

    Article  CAS  PubMed  Google Scholar 

  5. Vasan RS, Larson MG, Leip EP, Kannel WB, Levy D. Assessment of frequency of progression to hypertension in nonhypertension participants in the Framingham Heart Study: a cohort study. Lancet. 2001;358:1682–6.

    Article  CAS  PubMed  Google Scholar 

  6. Park HE, Youn TJ, Kim HK, Kim YJ, Sohn DW, Oh BH, Park YB, Cho GY. Different pattern of carotid and myocardial changes according to left ventricular geometry in hypertensive patients. J Hum Hypertens. 2013;27(1):7–12.

    Article  CAS  PubMed  Google Scholar 

  7. Richey PA, Disessa TG, Somes GW, Alpert BS, Jones DP. Left ventricular geometry in children and adolescents with primary hypertension. Am J Hypertens. 2010;23(1):24–9.

    Article  PubMed  Google Scholar 

  8. Silangei LK, Maro VP, Diefenthal H, Kapanda G, Dewhurst M, Mwandolela H, Hamel B. Assessment of left ventricular geometrical patterns and function among hypertensive patients at a tertiary hospital, Northern Tanzania. BMC Cardiovasc Disord. 2012;12:109.

    Article  PubMed  PubMed Central  Google Scholar 

  9. O'Brien E, Petrie J, Littler W, de Swiet M, Padfield PL, O'Malley K, Jamieson M, Altman D, Bland M, Atkins N. The British Hypertension Society protocol for the evaluation of automated and semi-automated blood pressure measuring devices with special reference to ambulatory systems. J Hypertens. 1990;8:607–19.

    Article  PubMed  Google Scholar 

  10. Devereux RB, Roman MJ. Evaluation of the heart and arterial tree in hypertension. J Cardiovasc Risk. 1995;2(1):4–15.

    Article  CAS  PubMed  Google Scholar 

  11. Schiller NB, Shah PM, Crawford M, DeMaria A, Devereux R, Feigenbaum H, et al. Recommendations for quantitation of the left ventricle by two dimensional echocardiography: American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two Dimensional Echocardiograms. J Am Soc Echocardiogr. 1989;2:358–67.

    Article  CAS  PubMed  Google Scholar 

  12. Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, et al. Recommendations for chamber quantification: a report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology. J Am Soc Echocardiogr. 2005;18:1440–63.

    Article  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(6):450–8.

    Article  CAS  PubMed  Google Scholar 

  14. Marwick TH, Gillebert TC, Aurigemma G, Chirinos J, Derumeaux G, Galderisi M, et al. Recommendations on the Use of Echocardiography in Adult Hypertension: A Report from the European Association of Cardiovascular Imaging (EACVI) and the American Society of Echocardiography (ASE). J Am Soc Echocardiogr. 2015;28(7):727–54.

    Article  PubMed  Google Scholar 

  15. De Ramirez SS, Enquobahrie DA, Nyadzi G, Mjungu D, Magombo F, Ramirez M, et al. Prevalence and correlates of hypertension: a cross-sectional study among rural populations in sub-Saharan Africa. J Hum Hypertens. 2010;24(12):786–95.

    Article  PubMed  Google Scholar 

  16. Daniels SR, Loggie JM, Khoury P, Kimball TR. Left ventricular geometry and severe left ventricular hypertrophy in children and adolescents with essential hypertension. Circulation. 1998;97:1907–11.

    Article  CAS  PubMed  Google Scholar 

  17. de Simone G, Devereux RB, Ganau A, Hahn RT, Saba PS, Mureddu GF, Roman MJ, Howard BV. Estimation of left ventricular chamber and stroke volume by limited M-mode echocardiography and validation by two-dimensional and Doppler echocardiography. Am J Cardiol. 1996;78(7):801–7.

    Article  PubMed  Google Scholar 

  18. Markus MR, Stritzke J, Lieb W, Mayer B, Luchner A, Döring A, Keil U, Hense HW, Schunkert H. Implications of persistent prehypertension for ageing-related changes in left ventricular geometry and function: the MONICA/KORA Augsburg study. J Hypertens. 2008;26(10):2040–9.

    Article  CAS  PubMed  Google Scholar 

  19. Cuspidi C, Meani S, Negri F, Giudici V, Valerio C, Sala C, et al. Indexation of left ventricular mass to body surface area and height to allometric power of 2.7: is the difference limited to obese hypertensives? J Hum Hypertens. 2009;23(11):728–34.

    Article  CAS  PubMed  Google Scholar 

  20. Poppe KK, Bachmann ME, Triggs CM, Doughty RN, Whalley GA. Geographic variation in left ventricular mass and mass index: a systematic review. J Hum Hypertens. 2012;26(7):420–9.

    Article  CAS  PubMed  Google Scholar 

  21. Lee H, Kong YH, Kim KH, Huh J, Kang IS, Song J. Left ventricular hypertrophy and diastolic function in children and adolescents with essential hypertension. Clin Hypertens. 2015;21:21.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Wachtell K, Smith G, Gerdts E, Dahlöf B, Nieminen MS, Papademetriou V, et al. Left ventriclar filling patterns in patients with systemic hypertension and left ventriclar hypertrophy (The LIFE Study). Am J Cardiol. 2000;85(4):466–72.

    Article  CAS  PubMed  Google Scholar 

  23. Wachtell K, Bella JN, Liebson PR, Gerdts E, Dahlof B, Aalto T, et al. Impact of different partition values on prevalences of left ventricular hypertrophy and concentric geometry in a large hypertensive population: the LIFE Study. Hypertension. 2000;35:6–12.

    Article  CAS  PubMed  Google Scholar 

  24. Mancia G, Carugo S, Grassi G, Lanzarotti A, Schiavina R, Cesana G, et al. Prevalence of left ventricular hypertrophy in hypertensive patients without and with blood pressure control: data from the PAMELA population. Hypertension. 2002;39(3):744–9.

    Article  CAS  PubMed  Google Scholar 

  25. Litwin M, Śladowska J, Antoniewicz J, Niemirska A, Wierzbicka A, Daszkowska J, Wawer ZT, Janas R, Grenda R. Metabolic abnormalities, insulin resistance and metabolic syndrome in children with primary hypertension. Am J Hypertens. 2007;20(8):875–82.

    Article  CAS  PubMed  Google Scholar 

  26. Zabalgoitia M, Berning J, Koren MJ, Stoylen A, Nieminen MS, Dahlof B, Devereux RB. Impact of coronary artery disease on left ventricular systolic function and geometry in hypertensive patients with left ventricular hypertrophy (the LIFE study). Am J Cardiol. 2001;88:646–50.

    Article  CAS  PubMed  Google Scholar 

  27. Laine H, Raitakari OT, Niinikoski H, Pitkanen OP, Iida H, Viikari J, Nuutila P, Knuuti J. Early impairment of coronary flow reserve in young men with borderline hypertension. J Am Coll Cardiol. 1998;32:147–53.

    Article  CAS  PubMed  Google Scholar 

  28. Sladowska-Kozłowska J, Litwin M, Niemirska A, Wierzbicka A, Wawer ZT, Janas R. Change in left ventricular geometry during antihypertensive treatment in children with primary hypertension. Pediatr Nephrol. 2011;26(12):2201–9.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Drukteinis JS, Roman MJ, Fabsitz RR, Lee ET, Best LG, Russell M, Devereux RB. Cardiac and systemic hemodynamic characteristics of hypertension and prehypertension in adolescents and young adults: the Strong Heart Study. Circulation. 2007;115(2):221–7.

    Article  PubMed  Google Scholar 

  30. Chahal NS, Lim TK, Jain P, Chambers JC, Kooner JS, Senior R. New insights into the relationship of left ventricular geometry and left ventricular mass with cardiac function: A population study of hypertensive subjects. Eur Heart J. 2010;31(5):588–94.

    Article  PubMed  Google Scholar 

  31. Adamu UG, Kolo PM, Katibi IA, Opadijo GO, Omotosho AB, Araoye MA. Relationship between left ventricular diastolic function and geometric patterns in Nigerians with newly diagnosed systemic hypertension. Cardiovasc J Afr. 2009;20(3):173–7.

    PubMed  PubMed Central  Google Scholar 

  32. Wang SX, Xue H, Zou YB, Sun K, Fu CY, Wang H, Hui RT. Prevalence and risk factors for left ventricular hypertrophy and left ventricular geometric abnormality in the patients with hypertension among Han Chinese. Chin Med J (Engl). 2012;125(1):21–6.

    Article  CAS  Google Scholar 

  33. Fox ER, Taylor J, Taylor H, Han H, Samdarshi T, Arnett D, Myerson M. Left ventricular geometric patterns in the Jackson cohort of the Atherosclerotic Risk in Communities (ARIC) Study: clinical correlates and influences on systolic and diastolic dysfunction. Am Heart J. 2007;153(2):238–44.

    Article  PubMed  Google Scholar 

  34. Akintunde AA, Akinwusi PO, Opadijo GO. Relationship between Tei index of myocardial performance and left ventricular geometry in Nigerians with systemic hypertension. Cardiovasc J Afr. 2011;22(3):124–7.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Masiha S, Sundström J, Lind L. Left ventricular geometric patterns and adaptations to hemodynamics are similar in elderly men and women. BMC Cardiovasc Disord. 2011;11:25.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Vasan RS, Evans JC, Benjamin EJ, Levy D, Larson MG, Sundstrom J, et al. Relations of serum aldosterone to cardiac structure: Gender-related differences in the Framingham Heart Study. Hyperenion. 2004;43(5):957–62.

    CAS  Google Scholar 

  37. Chobanion AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo Jr JL, et al. The Seventh Report of the Joint National Committee on Prevention, Detection. Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report. JAMA. 2003;289(19):2560–72.

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Yonghong Zhang, Liying Xing and Guowei Pan for their assistance. This study was supported by grants from the “Twelfth Five-Year” project funds (National Science and Technology Support Program of China, Grant #2012BAJ18B02) that Pro Yingxian Sun responsible for enable the project completion.

Funding

This study was supported by grants from the “Twelfth Five-Year” project funds (National Science and Technology Support Program of China, Grant #2012BAJ18B02) that Pro Yingxian Sun responsible for enable the project completion.

Availability of data and materials

All the data supporting our findings have been presented in tables of this article. This is a series of studies, and the cohort study of this population is under way, so this part of the original data is not publicly disclosed at present stage. All the data supporting our findings have been presented in tables of this article.

Authors’ contributions

TL participated in the echocardiographic measurements, conceived of the study and drafted the manuscript. JY was the focal person responsible for doing echocardiograms and participated in the study design. XFG gave guidance on writing this paper and contributed to the statistical analysis, SC was involved in revising and submitting the manuscript. YXS was involved in supervisory role in study concept and critical review of the work. All authors have read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Consent for publication was obtained in all participants.

Ethics approval and consent to participate

The research project was approved by the ethics committee of the First Hospital of China Medical University. And all the participants signed informed consent.

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Authors and Affiliations

  1. Department of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, Shenyang, People’s Republic of China

    Tan Li & Jun Yang

  2. Department of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People’s Republic of China

    Xiaofan Guo, Shuang Chen & Yingxian Sun

Authors
  1. Tan Li
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  2. Jun Yang
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  3. Xiaofan Guo
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  4. Shuang Chen
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  5. Yingxian Sun
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Corresponding author

Correspondence to Yingxian Sun.

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Li, T., Yang, J., Guo, X. et al. Geometrical and functional changes of left heart in adults with prehypertension and hypertension: a cross-sectional study from China. BMC Cardiovasc Disord 16, 114 (2016). https://doi.org/10.1186/s12872-016-0286-3

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  • DOI: https://doi.org/10.1186/s12872-016-0286-3

Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

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