Literature DB >> 29059302

Office and Home Blood Pressures as Determinants of Electrocardiographic Left Ventricular Hypertrophy Among Black Nigerians Compared With White Flemish.

Augustine N Odili1,2, Lutgarde Thijs1, Wen-Yi Yang1, John O Ogedengbe2,3, Maxwell M Nwegbu4, Lotte Jacobs1, Fang-Fei Wei1, Ying-Mei Feng5, Zhen-Yu Zhang1, Tatiana Kuznetsova1, Tim S Nawrot6, Jan A Staessen1,7.   

Abstract

BACKGROUND: The association of electrocardiographic left ventricular hypertrophy (ECG-LVH) with blood pressure (BP) in Blacks living in sub-Saharan Africa remains poorly documented.
METHODS: In 225 Black Nigerians and 729 White Flemish, we analyzed QRS voltages and voltage-duration products and 12 criteria diagnostic of ECG-LVH in relation to office BP (mean of 5 consecutive readings) and home BP (duplicate morning and evening readings averaged over 1 week).
RESULTS: In multivariable analyses, QRS voltage and voltage-duration indexes were generally higher in Blacks than Whites. By using any of 12 criteria, ECG-LVH was more prevalent among Black than White men (54.4% vs. 36.0%) with no ethnic difference among women (17.1%). Precordial voltages and voltage-duration products increased with office and home systolic BP (SBP), and increases were up to 3-fold steeper in Blacks. In Blacks vs. Whites, increases in the Sokolow-Lyon voltage associated with a 10-mm Hg higher SBP were 0.18 mV (95% confidence interval [CI], 0.09-0.26) vs. 0.06 mV (0.02-0.09) and 0.17 mV (0.07-0.28) vs. 0.11 mV (CI, 0.07-0.15) for office and home BP, respectively, with a significant ethnic gradient (P < 0.05). The risk of ECG-LVH increased more with office and home BP in Blacks than Whites.
CONCLUSIONS: Associations of ECG voltages and voltage-duration products and risk of ECG-LVH with BP are steeper in Black Nigerians compared with a White reference population. In resource-poor settings of sub-Saharan Africa, the ECG in combination with office and home BP is an essential instrument in risk stratification across the entire BP range.
© The Author 2017. Published by Oxford University Press on behalf of the American Journal of Hypertension, Ltd.

Entities:  

Keywords:  blood pressure; electrocardiography; ethnicity; home blood pressure; hypertension; left ventricular hypertrophy; population science; risk stratification; special populations

Mesh:

Year:  2017        PMID: 29059302      PMCID: PMC5861556          DOI: 10.1093/ajh/hpx114

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


Hypertension is a major cardiovascular risk factor with long-term effect on left ventricular structure and function.[1] Left ventricular hypertrophy (LVH) diagnosed either by electrocardiography[2,3] or imaging modalities[4,5] is an independent predictor of cardiovascular events and mortality over and beyond other established risk factors. Left ventricular mass increases with blood pressure (BP) in both Blacks and Whites, but more steeply in Blacks than in Whites.[6-9] However, the Blacks included in previous studies were Americans of African ancestry.[6-9] None of these studies[6-9] assessed the association of electrocardiographic traits with the self-measured home BP. In addition, most of the previous studies assessed LVH using echocardiography or electrocardiography calibrated against echocardiography.[7] Although echocardiography[7] and other cardiac imaging modalities[10] give a more accurate estimate of the anatomical left ventricular mass than electrocardiography, the latter technique provides unique information on electrical properties of the pathologically changed myocardium.[5,11] In addition, an electrocardiogram is easy to acquire and is cost effective when compared to imaging approaches.[7,10] As such it is an attractive method of assessing LVH that will ensure wide clinical applicability of research findings in resource-poor settings characteristic of many regions in sub-Saharan Africa. Therefore, we assessed ethnic differences in the associations of QRS voltages and voltage-duration products and of electrocardiographic LVH as diagnosed by published criteria[3,12-19] with office and home BPs in a group of Blacks Nigerians and a reference population-based cohort of White Flemish.

METHODS

Study population

The Nigerian and Flemish population studies complied with the Helsinki Declaration for investigation of human subjects.[20] They received ethical approval from the University of Abuja Teaching Hospital Health Research Ethics Committee and the Faculty of Medicine of the University of Leuven. All participants provided informed written consent.

Nigerian population study.

The Black Nigerian population consisted of participants recruited in the framework of the ongoing Nigerian Population Research on Environment, Gene and Health (NIPREGH)[21] which commenced in April 2013. Eligible adults were living in a well-delineated housing estate in Abuja. They were invited to a local examination center for a physical examination and electrocardiography. The participation rate was 79%. A high-quality electrocardiogram could not be obtained in 137 of the 362 participants because of frequent and unpredictable power failures in the catchment area and the poor grounding of the electrical wiring in the examination center. We excluded another 32 individuals because less than 2 home BP measurements were available. Thus, the number of Nigerians analyzed totaled 225. They had no history of heart disease (Figure 1).
Figure 1.

Flow chart of Black and White participants enrolled in the Nigerian Population Research on Environment Gene and Health (NIPREGH[21]) and the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO[22]). Abbreviations: BP, blood pressure; ECG, electrocardiogram; LBBB, left bundle branch block; RBBB, right bundle branch block.

Flow chart of Black and White participants enrolled in the Nigerian Population Research on Environment Gene and Health (NIPREGH[21]) and the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO[22]). Abbreviations: BP, blood pressure; ECG, electrocardiogram; LBBB, left bundle branch block; RBBB, right bundle branch block.

Flemish Population Study.

The White Flemish had been enrolled in the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO).[22] Recruitment started in 1985 and continued until 2004. The initial participation rate was 78%. The participants were repeatedly followed-up. Self-measurement of BP at home started in September 2012. Since then, 1,446 former participants were invited for a follow-up examination at a local examination center. However, 97 were unavailable, because they had been institutionalized or were too ill (n = 53), or had moved out-of-the area or did not respond (n = 44). Of the remaining 1,349 former participants, 855 renewed informed consent (63%). We excluded 126 participants from analysis, because the electrocardiogram was either missing or of insufficient quality (n = 3), because less than 2 self-recorded BP measurements were available (n = 95), because they were pacemaker-dependent (n = 11), had a history of myocardial infarction (n = 11), cardiomyopathy (n = 2), or because their electrocardiogram showed left or right bundle branch block (n = 4). Thus, the number of White participants statistically analyzed totaled 729 (Figure 1).

Electrocardiography

Standard 12-lead electrocardiograms were recorded at a speed of 25 mm/sec with the calibration set at 1 mV/cm. To improve the quality of the electrocardiograms, research assistants received periodical training on skin preparation, electrode placement and positioning of the subjects. Certified cardiologists checked the electrocardiograms. The Cardiax device (RDSM Medical Devices, Hasselt, Belgium) was used in NIPREGH[21] and the Schiller-AT2 device (Schiller Medizintechnik GmbH, Feldkirchen bei München, Germany) in FLEMENGHO.[22] These devices are equipped with software that automatically measures the amplitudes and the duration of the waves in each of the 12 leads. All measurements were exported into Excel and imported in SAS. Low-frequency noise emanating from movement, baseline wander, and respiration and high frequency noise emanating from power-line or radiated electromagnetic influence were filtered before the final signal acquisition. In accordance with the recommendations of the American Heart Association,[23] cutoff values were set at 0.05 Hz and 150 Hz for the low- and high-frequency filters, respectively. LVH was diagnosed using 12 published criteria (Table 1), based on voltages of the limb[3,12] or precordial[12-14] leads or their combination[23,24] or on QRS voltage × duration products.[18,19] These criteria were calculated from the exported voltages and durations using a standardized SAS program. Outliers were checked against the source data and the printed electrocardiograms.
Table 1.

Electrocardiographic criteria for left ventricular hypertrophy

Criterion (reference)DefinitionLVH threshold
Limb-lead voltages
Lewis3(R in I − S in I) + (S in III − R in III)>1.6 mV
Gubner–Ungerleider3R in I + S in III>2.5 mV
Sokolow–Lyon12R in aVL>1.1 mV
Precordial lead voltages
Sokolow-Lyon12S in V1 + maximum of R in V5, and R in V6 >3.5 mV
Wilson13R in V5>3.3 mV
Romhilt14S in V2 + maximum of R in V5 or V6>4.5 mV
Combination of limb and precordial voltages
Cornell in women15S in V3 + R in aVL>2.0 mV
Cornell in men15S in V3 + R in aVL>2.8 mV
Siegel total voltage16Sum of greatest positive and negative QRS deflection in 12 leads>17.5 mV
Manning ≤30 years17Sum of Q, R and S voltages in aVF, V2, and V6>5.9 mV
Manning >30 years17Sum of Q, R and S voltages in aVF, V2, and V6>9.3 mV
Voltage × QRS duration products
Sokolow–Lyon18Sokolow–Lyon index × QRS duration >288.0 mV.ms
Cornell (women)19(Cornell index + 0.8 mV) × QRS duration>243.6 mV.ms
Cornell (men)19Cornell index × QRS duration >243.6 mV.ms
Siegel19(Siegel total voltage) × QRS duration >1747.2 mV.ms

Abbreviation: LVH, left ventricular hypertrophy.

Electrocardiographic criteria for left ventricular hypertrophy Abbreviation: LVH, left ventricular hypertrophy.

BP measurement

NIPREGH[21] and FLEMENGHO[22] applied similar protocols for both office and home BP measurement. Trained observers measured office BP by auscultation of the Korotkoff sounds at the nondominant arm, according to the guidelines of the European Society of Hypertension.[25] After the participants had rested in the sitting position for at least 10 minutes, the observers obtained 5 BP readings at an interval of 30 to 60 seconds. Systolic and phase V diastolic BPs were determined to the nearest 2 mm Hg. Standard cuffs had a 12 × 24 cm inflatable portion, but if upper arm girth exceeded 32 cm, larger cuffs with 15 × 35 cm bladders were used. All study participants were trained on how to measure BP at home, using a validated semi-automated oscillometric device (Omron 705 IT[26] in NIPREGH and Omron M10 IT in FLEMENGHO[27]; Hoofddorp, The Netherlands). To demonstrate compliance with the technique of self-measurement, participants were invited to take 2 consecutive measurements immediately after the instructions for BP self-measurement had been orally explained. Next, the monitor was handed over to the participant for recording the self-measured BP at home. In line with European guidelines,[25] participants were asked to record their BP on 7 consecutive days, 2 readings in the morning between 6 am and 8 am before breakfast and intake of medications and twice in the evening between 7 pm and 9 pm before going to sleep. At the end of the recording period, all BP readings were exported by the Omron software and imported into SAS. The home BP was the average of all self-measured readings.

Other measurements

The observers measured each participants’ anthropometric characteristics and administered a standard questionnaire to collect information about their medical history, smoking and drinking habits, and intake of medications. Skinfold thickness was the average of measurements obtained at 3 sites, i.e. the triceps, subscapular area, and suprailiac crest, by means of the Harpenden Skinfold Caliper (Bedfordshire, UK) providing a constant pressure of 0.01 kg per mm2 (0.098 N/mm2) at all openings of the 90 mm2 anvils. Body mass index was body weight in kilograms divided by height in meters squared. Diabetes mellitus was the use of antidiabetic drugs or a fasting or random plasma glucose equal to or exceeding 7.0 or 11.1 mmol/l.[28]

Statistical analysis

For database management and statistical analysis, we used SAS software version 9.4. (SAS Institute, Cary, NC). We reported the central tendency and spread of the data as mean and SD. For comparison of means and proportions, we applied the large sample z-test and the χ2 statistic, respectively. Statistical significance was a P value less than 0.05 on 2-sided tests. We standardized the prevalence of LVH by the direct method for sex and age (<45 vs. ≥45 years). We used multiple linear regression to adjust for confounders, while assessing the relation of the electrocardiographic variables as continuous variables with the office and home BPs. Using multiple logistic regression models, we determined the odds ratio of having LVH associated with a 10 mm Hg higher office or home systolic BP (SBP). We tested heterogeneity among Blacks and Whites by introducing the appropriate interaction terms in the model.

RESULTS

Characteristics of participants

Table 2 lists the characteristics of the participants by sex and ethnicity. Compared to Whites, Blacks were younger (39.1 vs. 52.8 years; P < 0.0001) and had lower (P < 0.05) conventional (112/72 vs. 132/83 mm Hg) and home (116/75 vs. 122/76 mm Hg) SBP and diastolic BP. Compared to White men, Black men had lower (P < 0.0001) body mass index (25.1 vs. 27.4 kg/m2), waist-to-hip ratio (0.91 vs. 0.94), and skinfold thickness (1.4 vs. 2.1 mm). On the other hand, Black women had a higher waist-to-hip ratio (0.88 vs. 0.86; P = 0.048) but thinner skinfolds (1.9 vs. 2.6 mm) compared with White women. The prevalence of smoking (2% vs. 13%) and drinking alcohol (30% vs. 70%) and using BP lowering drugs was lower (P < 0.01) among Blacks than Whites.
Table 2.

Characteristics of participants by sex and ethnicity

CharacteristicsWomenMen
BlacksWhitesBlacksWhites
Number in category111376114353
Number with characteristic (%)
Smoking0 (0.0)46 (12.2)§4 (3.5)≤49 (13.9)
Drinking alcohol25 (22.5)219 (58.2)§43 (37.7)290 (82.2)§
Office hypertension22 (19.8)156 (41.5)§22 (19.3)197 (55.8)§
Home hypertension28 (25.2)132 (35.1)28 (24.6)157 (44.5)
Antihypertensive medication20 (18.0)91 (24.2)16 (14.0)101 (28.6)
Diabetes mellitus9 (8.1)14 (3.7)6 (5.3)19 (5.4)
Body mass index >30 kg/m²32 (28.8)79 (21.0)15 (13.2)83 (23.5)*
Mean characteristic ± SD
Age, years38.3 (11.3)52.7 (15.8)§39.8 (10.1)53.0 (15.0)§
Body weight, kg71.6 (15.3)70.3 (14.5)76.0 (13.2)85.5 (14.0)§
Body height, cm163.6 (5.7)163.6 (6.8)173.7 (7.4)176.6 (7.6)
Body mass index, kg/m226.8 (5.5)26.2 (5.0)25.1 (3.6)27.4 (4.0)§
Waist circumference, cm91.0 (12.6)89.9 (13.3)89.9 (12.4)97.8 (11.1)§
Hip circumference, cm103.5 (12.5)103.9 (10.3)98.8 (10.0)103.9 (6.9)§
Waist-to-hip ratio0.88 (0.1)0.86 (0.07)*0.91 (0.06)0.94 (0.07)§
Skinfold thickness, mm1.9 (0.9)2.6 (1.0)§1.4 (0.8)2.1 (0.9)§
Office systolic pressure, mm Hg108.8 (14.8)130.6 (18.2)§114.9 (15.4)134.3 (15.2)§
Office diastolic pressure, mm Hg68.8 (10.3)80.8 (9.4)§74.7 (12.7)86.1 (9.4)§
Home systolic pressure, mm Hg110.3 (14.6)118.2 (16.5)§122.1 (12.6)124.9 (11.9)*
Home diastolic pressure, mm Hg72.1 (9.7)74.9 (8.4)77.6 (10.1)78.1 (7.8)
Office heart rate, bpm74.0 (10.0)64.7 (8.7)§70.8 (9.9) 62.1 (8.9)§

Skinfold thickness was the average of measurements obtained at the triceps, subscapular area, and suprailiac crest. Office and home blood pressures were averages of 5 consecutive auscultatory readings or all home readings over 1 week. Office hypertension was a blood pressure ≥140 mm Hg systolic or ≥90 mm Hg diastolic. The corresponding thresholds for the home blood pressure were ≥135 mm Hg and ≥85 mm Hg. Patients on blood pressure lowering drugs were classified as hypertensive. Diabetes is a fasting or random blood glucose >7.0 or >11.1 mmol/l, respectively, or use of antidiabetic drugs. Significance of the between-cohort differences: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001.

Characteristics of participants by sex and ethnicity Skinfold thickness was the average of measurements obtained at the triceps, subscapular area, and suprailiac crest. Office and home blood pressures were averages of 5 consecutive auscultatory readings or all home readings over 1 week. Office hypertension was a blood pressure ≥140 mm Hg systolic or ≥90 mm Hg diastolic. The corresponding thresholds for the home blood pressure were ≥135 mm Hg and ≥85 mm Hg. Patients on blood pressure lowering drugs were classified as hypertensive. Diabetes is a fasting or random blood glucose >7.0 or >11.1 mmol/l, respectively, or use of antidiabetic drugs. Significance of the between-cohort differences: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001.

Electrocardiographic measurements according to ethnicity

We assessed LVH according to 12 different criteria (Table 1), unadjusted and with adjustment for age, body mass index, skinfold thickness, and antihypertensive drug intake. Supplementary Table S1 (unadjusted) and Table 3 (adjusted) show the distribution of these measurements on a continuous scale broken down by sex and ethnicity. With adjustments applied, the limb-lead voltages (P < 0.001) and the Sokolow–Lyon index (P < 0.05) were higher in Black women and men compared with their White counterparts. On the contrary, the Siegel and Manning criteria based on a combination of limb and precordial voltages were lower (P < 0.05) in Black Nigerians compared to White Flemish. The ethnic differences in the voltage × duration products paralleled those in the corresponding voltage-only criteria.
Table 3.

Adjusted ECG measurements by sex and ethnicity

ECG criteriaWomenMen
BlacksWhitesBlacksWhites
Limb-lead voltages, mV
Lewis30.73 (0.60)−0.01 (0.73)§0.83 (0.72)0.03 (0.78)§
Gubner–Ungerleider30.92 (0.41)0.76 (0.39)1.04 (0.53)0.81 (0.43)§
Sokolow–Lyon120.39 (0.23)0.26 (0.22)0.47 (0.29)0.28 (0.25)§
Precordial lead voltages, mV
Sokolow–Lyon122.20 (0.76)2.03 (0.63)*2.83 (1.00)2.37 (0.72)§
Wilson131.24 (0.44)1.25 (0.41)1.66 (0.73)1.61 (0.51)
Romhilt142.07 (0.79)2.19 (0.65)3.03 (1.13)2.67 (0.72)*
Combination of limb and precordial voltages, mV
Cornell150.94 (0.46)1.00 (0.45)1.42 (0.72)1.21 (0.57)
Siegel1611.2 (3.57)13.4 (3.11)§14.5 (4.18)15.6 (3.23)*
Manning172.80 (1.15)3.68 (1.06)§3.80 (1.33)4.18 (1.07)
Voltage × QRS duration products, mV.ms
Sokolow–Lyon18200.5 (70.5)175.9 (56.5)264.3 (94.7)227.5 (71.9)
Cornell19160.6 (47.6)157.6 (47.1)134.5 (71.8)117.1 (59.1)*
Siegel191023.0 (353.4)1172.0 (335.6)§1368.4 (433.4)1511.6 (389.6)

Values are mean (SD) adjusted for age, body mass index, skinfold thickness, and antihypertensive drug intake. Significance of the between-cohort differences: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001.

Adjusted ECG measurements by sex and ethnicity Values are mean (SD) adjusted for age, body mass index, skinfold thickness, and antihypertensive drug intake. Significance of the between-cohort differences: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001. The significant differences in the continuous electrocardiographic (ECG) criteria between Blacks and Whites were translated into a significantly higher (P < 0.05) prevalence of LVH in Black men when assessed by the Lewis and Sokolow–Lyon limb voltage criteria, the Sokolow–Lyon and Romhilt precordial voltage criteria, and the Sokolow–Lyon and Cornell voltage × duration products (Supplementary Table S2). Black as compared to White women had a lower (P < 0.05) prevalence of LVH when assessed by the Siegel total voltage sum, but a higher (P < 0.05) prevalence when categorized by the Sokolow–Lyon voltage-duration product. The prevalence of LVH defined using any of the 12 criteria was higher in Black as compared to White men (54.4% vs. 36.0%, P = 0.0006), but similar in Black and White women (18.9% vs. 16.5%, P = 0.57).

Association between ECG criteria for LVH and office and home SBP

After adjustment for sex, age, body mass index, skinfold thickness, and antihypertensive drug intake, all ECG criteria based on precordial lead voltages (alone or in combination with limb-lead voltages) and the voltage-duration products were positively correlated (P < 0.01) with the office SBP in the 2 ethnicities. The slopes of these relations were significantly (P < 0.03) steeper in Blacks than in Whites (Table 4, Figure 2). In Blacks, a 10 mm Hg higher office SBP was associated with 0.18 mV (95% confidence interval [CI], 0.09–0.26; P < 0.0001) higher Sokolow–Lyon voltage, whereas in Whites this slope amounted to 0.06 mV per 10 mm Hg (CI, 0.02–0.09; P < 0.01). The ethnic difference was statistically significance (P < 0.001). Similarly, the increase in the Sokolow–Lyon voltage-product corresponding to a 10 mm Hg increase in the office SBP was 15.7 mV × ms (CI, 7.5–24.0; P < 0.0001) in Blacks and 6.0 (CI, 2.8–9.3; P < 0.0001) mV × ms in Whites (P for ethnic difference, 0.001). We observed the same trends for home SBP, although the ethnic differences did not reach statistical significance for the Wilson precordial voltage (P = 0.53) nor for the Sokolow–Lyon (P = 0.078) and Siegel (P = 0.32) voltage-duration products.
Table 4.

Multivariable-adjusted associations between ECG measurements and blood pressure by ethnicity

ECG criteria (reference)Office systolic pressureHome systolic pressure
BlacksWhites P BlacksWhites P
Limb-lead voltages, mV
Lewis30.022 (−0.045, 0.089)0.034 (−0.004, 0.073)0.0110.064 (−0.013, 0.141)−0.013 (−0.060, 0.033)0.58
Gubner–Ungerleider30.033 (−0.015, 0.080)0.049 (0.028, 0.070)§0.0040.056 (0.001, 0.111)*0.034 (0.009, 0.060)0.24
Sokolow–Lyon120.019 (−0.007, 0.046)0.024 (0.012, 0.036)§0.880.029 (−0.001, 0.059)0.017 (0.002, 0.031)*0.40
Precordial lead voltages, mV
Sokolow–Lyon120.176 (0.089, 0.263)§0.058 (0.023, 0.092)<0.0010.174 (0.072, 0.275)0.108 (0.067, 0.149)§0.014
Wilson130.084 (0.024, 0.144)0.042 (0.019, 0.066)<0.00010.078 (0.008, 0.148)*0.077 (0.049, 0.105)§0.53
Romhilt140.191 (0.095, 0.287)0.073 (0.038, 0.107)§<0.0010.189 (0.077, 0.301)0.139 (0.098, 0.180)§0.006
Combination of limb and precordial voltages, mV
Cornell150.132 (0.074, 0.190)§0.064 (0.039, 0.090)§<0.0010.131 (0.063, 0.199)0.064 (0.033, 0.095)§ < 0.001
Siegel160.816 (0.440, 1.193)§0.445 (0.286, 0.604)§0.0020.850 (0.413, 1.288)0.721 (0.532, 0.910)§0.029
Manning170.194 (0.071, 0.317)0.111 (0.057, 0.165)§0.0050.223 (0.082, 0.365)0.207 (0.142, 0.271)§0.028
Voltages and QRS duration, mV.ms
Sokolow–Lyon1815.7 (7.5, 24.0)6.0 (2.8, 9.3)0.00114.5 (4.9, 24.1)11.1 (7.2, 15.0)§0.078
Cornell1912.5 (6.5, 18.4)§6.7 (4.1, 9.4)§0.00211.8 (4.9, 18.8)6.7 (3.4, 10.0)§0.004
Siegel1974.5 (36.3, 113.2)47.8 (29.6, 66.1)§0.02272.9 (28.1–117.7)75.6 (53.8, 97.3)§0.32

Values are regression coefficients (95% confidence interval) expressing the change in the ECG measurement associated with a 10-mm Hg increase in systolic blood pressure, adjusted for sex, age, body mass index, skinfold thickness, and intake of antihypertensive drugs. Significance of the associations: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001. P values are for the ethnic differences in the associations.

Figure 2.

Multivariable-adjusted associations between the Sokolow–Lyon (a) and Cornell voltages (b) and the Sokolow–Lyon (c) and Cornell (d) voltage × duration products and systolic blood pressure on office or home measurements in Blacks and Whites. All associations were adjusted for sex, age, body mass index, skinfold thickness and intake of antihypertensive drugs. Changes (∆) in the voltages and voltage × duration products are given for a 10 mm Hg increase in systolic blood pressure (SBP). Horizontal bars denote the 95% confidence interval.

Multivariable-adjusted associations between ECG measurements and blood pressure by ethnicity Values are regression coefficients (95% confidence interval) expressing the change in the ECG measurement associated with a 10-mm Hg increase in systolic blood pressure, adjusted for sex, age, body mass index, skinfold thickness, and intake of antihypertensive drugs. Significance of the associations: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001. P values are for the ethnic differences in the associations. Multivariable-adjusted associations between the Sokolow–Lyon (a) and Cornell voltages (b) and the Sokolow–Lyon (c) and Cornell (d) voltage × duration products and systolic blood pressure on office or home measurements in Blacks and Whites. All associations were adjusted for sex, age, body mass index, skinfold thickness and intake of antihypertensive drugs. Changes (∆) in the voltages and voltage × duration products are given for a 10 mm Hg increase in systolic blood pressure (SBP). Horizontal bars denote the 95% confidence interval. The limb-lead voltages were not consistently related to the office or home SBPs (Table 4). If anything, the relationship between the limb-lead voltage criteria as defined by Lewis and Gubner–Ungerleider were steeper in Whites than in Blacks (P < 0.05).

Association between the prevalence of LVH and office and home SBP

Table 5 shows the adjusted odds ratios for the associations between LVH analyzed on a dichotomous scale and both office and home SBPs. We did not calculate odds ratios for ECG criteria that identified less than 10 cases of LVH. For the Sokolow–Lyon precordial lead voltage and all the voltage-duration products, the odds ratios for office SBP were higher in Blacks than in Whites (P < 0.05). Using any of the 12 diagnostic criteria (Table 5), a 10 mm Hg higher office SBP was associated with a relative risk of LVH of 1.95 (CI, 1.47–2.60; P < 0.0001) in Blacks, while in Whites the odds ratio was 1.20 (CI, 1.06–1.35; P = 0.0038). The P value for the ethnic difference was <0.0001. The same trends were observed for home SBP. When assessing LVH by any of the 12 criteria, a 10-mm Hg higher home SBP was associated with an odds ratio of 2.27 (CI, 1.61–3.19; P < 0.0001) in Blacks and 1.30 (CI, 1.12–1.51; P = 0.0006) in Whites (P for ethnic difference < 0.0001).
Table 5.

Multivariable-adjusted odds ratios for having left ventricular hypertrophy in relation to systolic blood pressure

Definition of LVH (reference)Office systolic pressureHome systolic pressure
BlacksWhites P BlacksWhites P
Limb-lead voltages
Lewis31.06 (0.74, 1.54)1.14 (0.84, 1.54)0.731.18 (0.76, 1.83)1.11 (0.75, 1.63)0.41
Gubner–Ungerleider3(3)(7)(3)(7)
Sokolow–Lyon12(6)(7)(6)(7)
Precordial lead voltages
Sokolow–Lyon121.57 (1.19, 2.06)1.17 (0.93, 1.46)0.0301.58 (1.15, 2.17)1.75 (1.31,2.33)§0.59
Wilson13(3)(3)(3)(3)
Romhilt141.58 (1.07, 2.33)*(7)1.34 (0.84, 2.12)(7)
Combination of limb and precordial voltages
Cornell15(8)1.18 (0.84, 1.67)(8)0.96 (0.62, 1.49)
Siegel161.72 (1.28, 2.32)1.40 (1.21, 1.62)§0.0671.68 (1.21, 2.33)1.48 (1.23, 1.77)§0.10
Manning17(4)1.40 (0.75, 2.61)(4)1.96 (0.88, 4.34)
Voltage × QRS duration products, mV.ms
Sokolow–Lyon182.21 (1.53, 3.18)§1.15 (0.97, 1.36)0.0032.21 (1.53, 3.18)§1.52 (1.22, 1.89)0.09
Cornell191.92 (1.44, 2.56)§1.15 (0.97, 1.36)0.0031.61 (1.12, 2.31)1.14 (0.85, 1.52)0.03
Siegel191.65 (1.19, 2.28)1.21 (0.96, 1.53)0.0371.48 (1.07, 2.05)*1.47 (1.20, 1.80)0.66
Any of the criteria1.95 (1.47, 2.60)§1.20 (1.06, 1.35)<0.00012.27 (1.61, 3.19)§1.30 (1.12, 1.51) < 0.0001

Values are odds ratios (95% confidence interval) associated with a 10-mm Hg increase in systolic pressure and were adjusted for sex, age, body mass index, skinfold thickness, and intake of antihypertensive drugs. Significance of the odds ratios: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001. If the number of patients with left ventricular hypertrophy was smaller than 10 (number given), the odds ratio was not calculated. P values are for the ethnic differences in the odds ratios.

Multivariable-adjusted odds ratios for having left ventricular hypertrophy in relation to systolic blood pressure Values are odds ratios (95% confidence interval) associated with a 10-mm Hg increase in systolic pressure and were adjusted for sex, age, body mass index, skinfold thickness, and intake of antihypertensive drugs. Significance of the odds ratios: *P < 0.05; †P < 0.01; ‡P < 0.001; and §P < 0.0001. If the number of patients with left ventricular hypertrophy was smaller than 10 (number given), the odds ratio was not calculated. P values are for the ethnic differences in the odds ratios.

DISCUSSION

We assessed the association of various ECG measurements commonly applied for the diagnosis of LVH with SBP on office and home measurement in Black Nigerians and White Flemish recruited from the population with as objective to search for ethnic differences. The key findings can be summarized as follows: (i) most QRS voltage combinations and voltage-duration products tended to be higher in Blacks than in Whites, irrespective of sex, age, and other confounding variables; (ii) in both ethnicities, the precordial QRS voltage sums, combined or not with the limb voltages, and the voltage-duration products were positively associated with both office and home SBP; (iii) the slope of these associations were up to 3 times steeper in Blacks than in Whites; (iv) and these results were confirmed when LVH was analyzed on a dichotomous rather than a continuous scale. Our results are in agreement with previous studies[6-9] showing that left ventricular mass increases with BP in both Blacks and Whites, but more sharply in Blacks than in Whites. However, the Black participants included in these studies were Americans of African ancestry.[6-9] The potential racial disparity in the cardiac adaptation to high BP has not yet been studied in Black populations born and living in Africa. None of the aforementioned studies assessed consistency between the findings based on the in-office and the out-of-the office BP.[6-9] In addition, previous studies assessed LVH, using echocardiography[7,29,30] or electrocardiography calibrated against echocardiography.[7] We assessed LVH using various published combinations of ECG voltages and QRS duration (Table 1[3,12-19]). Electrocardiography is less sensitive for the detection of anatomically increased left ventricular mass as compared to echocardiography[7,29,30] and other cardiac imaging modalities.[10] However, electrocardiography might provide separate information on myocardial integrity and neurohumoral and/or biochemical changes in the myocardium that cannot be detected using echocardiography.[11] Calibrating electrocardiography against echocardiography is therefore incorrect, but unfortunately, this practice has been perpetuated in the medical literature over the years since the advent of echocardiography. In a recent report, Bacharova and colleagues[5] compared the prognostic value of LVH diagnosed by electrocardiography and magnetic resonance imaging in 4,748 participants enrolled in the Multi-Ethnic Study of Atherosclerosis. They observed that LVH detected by ECG (hazard ratio, 1.51; CI, 1.03–2.20) and LVH diagnosed with magnetic resonance imaging (hazard ratio, 1.81; CI, 1.33–2.46) were equally predictive of cardiovascular events. These findings confirm that LVH defined using electrocardiography and magnetic resonance imaging, although being different phenotypes, both carry important prognostic information.[5] To our knowledge, no previous report has assessed the ethnic differences in the effect of BP on QRS voltages or voltage-duration products as continuous variables (Table 4), whereas most considered ECG-LVH (Table 5). Categorizing an outcome has several limitations. First, LVH as a binary variable, compared with a continuous outcome, removes phenotypic variation. Second, most of the ECG criteria currently in use were developed in patients who had clinical conditions like severe hypertension[15] or aortic stenosis[16] that were expected to cause hypertrophy, were calibrated against autopsy findings of an enlarged heart,[12,15,16,31,32] or against left ventricular mass determined by echocardiography[7] or magnetic resonance imaging.[10] The implication is that published ECG criteria for LVH (Table 1[3,12-19]) define a phenotype among patients, who are already at the terminal stage of the cardiovascular disease continuum. Moreover, some of those criteria were developed over more than 2 decades ago when the thresholds for the diagnosis of hypertension were 160 mm Hg systolic or 100 mm Hg diastolic. We reasoned that increasing BP may have an incremental and graded effect on ECG voltages and voltage-duration products, which probably starts at much lower levels of BP than used for the development of the published criteria (Table 1[3,12-19]). If our findings are confirmed, they will help clinicians not only for risk assessment of patients within a large spectrum of cardiovascular risk, but also to monitor antihypertensive therapy. In the double-blind placebo-controlled Systolic Hypertension in Europe Trial, we defined LVH prospectively as the sum of 3 voltages (R in aVL, S in V1, and R in V5) both at baseline and at yearly follow-up visits.[33] The adjusted relative hazard ratio associated with a 1 mV higher voltage sum at baseline, amounted to 1.10 (CI, 1.02–1.18) and 1.15 (CI, 1.04–1.27) for all-cause and cardiovascular mortality and to 1.21 (CI, 1.08–1.36) and 1.18 (CI, 1.08–1.29) for stroke and cardiac events, respectively (P < 0.01). A 1-mV decrease in ECG voltages during follow-up independently predicted a lower incidence of cardiac events with a hazard ratio of 0.86 (CI, 0.76–0.98); P = 0.05), but not of stroke or mortality.[33] The prognostic implication of electrocardiographically derived LVH among Blacks born and living in Africa is not yet known. However, prospective studies in African Americans suggest that LVH contributes more to the risk of cardiovascular mortality in Blacks than in Whites.[34,35] Among 1,089 Black people drawn from a Chicago hospital registry Liao and colleagues[34] studied the effect of echocardiographically determined LVH on survival in comparison with the number of stenotic coronary vessels and left ventricular systolic function. In a multivariable analysis, the relative risk of death associated with LVH was 2.4 as compared to 1.6 and 2.0 for multivessel disease and ejection fraction lower than 45%. The population attributable risk fraction in this cohort revealed that for every 100 deaths 1%, 9%, 22%, and 37% were attributable to single-vessel disease, left ventricular systolic dysfunction, multivessel disease, and LVH, respectively.[34] Our current findings are particularly relevant for low- and middle-income countries, where health care resources are limited and the infrastructure and skills to operate high-tech equipment, such as sophisticated echocardiographic devices or cardiac magnetic resonance imaging are lacking. The implication is that assessment of electrocardiographically derived LVH should be an integral part of the cardiovascular assessment even when patients present with BP within the ranges presumed to be normal. Notwithstanding the clinical relevance of our current observations, our study should also be interpreted within the context of its potential limitations and applied methodologic approaches. We considered only 12 among 37 criteria[36] that have been reported in the literature. However, these 12 selected criteria[3,12-19] are among those most commonly used in the literature and in clinical practice. Furthermore, we combined criteria whose diagnostic performances have been compared between Blacks and Whites or evaluated for diagnostic performance among Nigerians.[37] We also decided to use variables that can easily be obtained from automated electrocardiography without the need for interpretation by a cardiologist. This is to ensure widespread clinical applicability of our methods in a setting, where expertise for reading electrocardiograms is scarce. Our study involved a small sample of Nigerians living in Abuja and may not be representative for the whole sub-Saharan continent. However, our results have external validity as our findings are in line with other findings among Blacks living in the United States.[6-9] Additionally, the same validated epidemiologic methods were used in both population cohorts compared in this report.

Perspectives

We showed strong association between ECG-LVH and SBP in Blacks born and living in sub-Saharan Africa. While confirming previous findings in African compared with White Americans,[6-9] we advocate that our observations are particularly relevant for the low-resource sub-Saharan region. Portable ECG devices, which as the recorder used in the current study have the size of a small pocket book and do not require a power module and which via smartphone, notebook or an integrated SIM card (subscriber identity module) can access internet might become a practicable instrument for risk stratification in remote or deprived African communities. Combined with office and home BP, the ECG indexes might be logged onto a central server, via which experienced ECG readers and hypertension specialist might assist local health care providers in guiding the management of cardiovascular risk.

SUPPLEMENTARY MATERIAL

Supplementary materials are available at American Journal of Hypertension online.

DISCLOSURE

The authors declared no conflict of interest. Click here for additional data file.
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Authors:  Paul Kligfield; Leonard S Gettes; James J Bailey; Rory Childers; Barbara J Deal; E William Hancock; Gerard van Herpen; Jan A Kors; Peter Macfarlane; David M Mirvis; Olle Pahlm; Pentti Rautaharju; Galen S Wagner; Mark Josephson; Jay W Mason; Peter Okin; Borys Surawicz; Hein Wellens
Journal:  J Am Coll Cardiol       Date:  2007-03-13       Impact factor: 24.094

2.  Validation of the Omron 705IT (HEM-759-E) oscillometric blood pressure monitoring device according to the British Hypertension Society protocol.

Authors:  Andrew Coleman; Paul Freeman; Stephen Steel; Andrew Shennan
Journal:  Blood Press Monit       Date:  2006-02       Impact factor: 1.444

3.  Prognostic value of electrocardiographic criteria for left ventricular hypertrophy.

Authors:  Bill P Hsieh; Michael X Pham; Victor F Froelicher
Journal:  Am Heart J       Date:  2005-07       Impact factor: 4.749

4.  Diagnostic and prognostic utility of electrocardiography for left ventricular hypertrophy defined by magnetic resonance imaging in relationship to ethnicity: the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Aditya Jain; Harikrishna Tandri; Darshan Dalal; Harjit Chahal; Elsayed Z Soliman; Ronald J Prineas; Aaron R Folsom; João A C Lima; David A Bluemke
Journal:  Am Heart J       Date:  2010-04       Impact factor: 4.749

5.  Ethnic differences in the identification of left ventricular hypertrophy in the hypertensive patient.

Authors:  J N Chapman; J Mayet; C L Chang; R A Foale; S A Thom; N R Poulter
Journal:  Am J Hypertens       Date:  1999-05       Impact factor: 2.689

6.  Prognostic implications of echocardiographically determined left ventricular mass in the Framingham Heart Study.

Authors:  D Levy; R J Garrison; D D Savage; W B Kannel; W P Castelli
Journal:  N Engl J Med       Date:  1990-05-31       Impact factor: 91.245

7.  Prognostic significance of electrocardiographic voltages and their serial changes in elderly with systolic hypertension.

Authors:  Robert H Fagard; Jan A Staessen; Lutgarde Thijs; Hilde Celis; Willem H Birkenhäger; Christopher J Bulpitt; Peter W de Leeuw; Gastone Leonetti; Cinzia Sarti; Jaakko Tuomilehto; John Webster; Yair Yodfat
Journal:  Hypertension       Date:  2004-08-23       Impact factor: 10.190

Review 8.  Blood pressure, systolic and diastolic, and cardiovascular risks. US population data.

Authors:  J Stamler; R Stamler; J D Neaton
Journal:  Arch Intern Med       Date:  1993-03-08

9.  Validation of four automatic devices for self-measurement of blood pressure according to the international protocol of the European Society of Hypertension.

Authors:  Jirar Topouchian; Davide Agnoletti; Jacques Blacher; Ahmed Youssef; Isabel Ibanez; Jose Khabouth; Salwa Khawaja; Layale Beaino; Roland Asmar
Journal:  Vasc Health Risk Manag       Date:  2011-11-30

10.  Efficacy of newer versus older antihypertensive drugs in black patients living in sub-Saharan Africa.

Authors:  J R M'Buyamba-Kabangu; B C Anisiuba; M B Ndiaye; D Lemogoum; L Jacobs; C K Ijoma; L Thijs; H J Boombhi; J Kaptue; P M Kolo; J B Mipinda; C E Osakwe; A Odili; B Ezeala-Adikaibe; S Kingue; B A Omotoso; S A Ba; I I Ulasi; J A Staessen
Journal:  J Hum Hypertens       Date:  2013-06-27       Impact factor: 3.012

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Authors:  Yan Li; Lutgarde Thijs; Zhen-Yu Zhang; Kei Asayama; Tine W Hansen; José Boggia; Kristina Björklund-Bodegård; Wen-Yi Yang; Teemu J Niiranen; Angeliki Ntineri; Fang-Fei Wei; Masahiro Kikuya; Takayoshi Ohkubo; Eamon Dolan; Atsushi Hozawa; Ichiro Tsuji; Katarzyna Stolarz-Skrzypek; Qi-Fang Huang; Jesus D Melgarejo; Valérie Tikhonoff; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Edgardo Sandoya; Lucas Aparicio; Jessica Barochiner; Natasza Gilis-Malinowska; Krzysztof Narkiewicz; Kalina Kawecka-Jaszcz; Gladys E Maestre; Antti M Jula; Jouni K Johansson; Tatiana Kuznetsova; Jan Filipovský; George Stergiou; Ji-Guang Wang; Yutaka Imai; Eoin O'Brien; Jan A Staessen
Journal:  Hypertension       Date:  2019-10-21       Impact factor: 10.190

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Authors:  Yi-Bang Cheng; Lutgarde Thijs; Zhen-Yu Zhang; Masahiro Kikuya; Wen-Yi Yang; Jesus D Melgarejo; José Boggia; Fang-Fei Wei; Tine W Hansen; Cai-Guo Yu; Kei Asayama; Takayoshi Ohkubo; Eamon Dolan; Katarzyna Stolarz-Skrzypek; Sofia Malyutina; Edoardo Casiglia; Lars Lind; Jan Filipovský; Gladys E Maestre; Yutaka Imai; Kalina Kawecka-Jaszcz; Edgardo Sandoya; Krzysztof Narkiewicz; Yan Li; Eoin O'Brien; Ji-Guang Wang; Jan A Staessen
Journal:  Hypertension       Date:  2019-08-05       Impact factor: 10.190

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Authors:  Jesus D Melgarejo; Wen-Yi Yang; Lutgarde Thijs; Yan Li; Kei Asayama; Tine W Hansen; Fang-Fei Wei; Masahiro Kikuya; Takayoshi Ohkubo; Eamon Dolan; Katarzyna Stolarz-Skrzypek; Qi-Fang Huang; Valérie Tikhonoff; Sofia Malyutina; Edoardo Casiglia; Lars Lind; Edgardo Sandoya; Jan Filipovský; Natasza Gilis-Malinowska; Krzysztof Narkiewicz; Kalina Kawecka-Jaszcz; José Boggia; Ji-Guang Wang; Yutaka Imai; Thomas Vanassche; Peter Verhamme; Stefan Janssens; Eoin O'Brien; Gladys E Maestre; Jan A Staessen; Zhen-Yu Zhang
Journal:  Hypertension       Date:  2020-12-08       Impact factor: 10.190

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Journal:  Am J Hypertens       Date:  2018-01-12       Impact factor: 2.689

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