Literature DB >> 27324224

Conventional and Ambulatory Blood Pressure as Predictors of Retinal Arteriolar Narrowing.

Fang-Fei Wei1, Zhen-Yu Zhang1, Lutgarde Thijs1, Wen-Yi Yang1, Lotte Jacobs1, Nicholas Cauwenberghs1, Yu-Mei Gu1, Tatiana Kuznetsova1, Karel Allegaert1, Peter Verhamme1, Yan Li1, Harry A J Struijker-Boudier1, Jan A Staessen2.   

Abstract

At variance with the long established paradigm that retinal arteriolar narrowing trails hypertension, several longitudinal studies, all based on conventional blood pressure (CBP) measurement, proposed that retinal arteriolar narrowing indicates heightened microvascular resistance and precedes hypertension. In 783 randomly recruited Flemish (mean age, 38.2 years; 51.3% women), we investigated to what extent CBP and daytime (10 am to 8 pm) ambulatory blood pressure (ABP) measured at baseline (1989-2008) predicted the central retinal arteriolar equivalent (CRAE) in retinal photographs obtained at follow-up (2008-2015). Systolic/diastolic hypertension thresholds were 140/90 mm Hg for CBP and 135/85 mm Hg for ABP. In multivariable-adjusted models including both baseline CBP and ABP, CRAE after 10.3 years (median) of follow-up was unrelated to CBP (P≥0.14), whereas ABP predicted CRAE narrowing (P≤0.011). Per 1-SD increment in systolic/diastolic blood pressure, the association sizes were -0.95 µm (95% confidence interval, -2.20 to 0.30)/-0.75 µm (-1.93 to 0.42) for CBP and -1.76 µm (-2.95 to -0.58)/-1.48 µm (-2.61 to -0.34) for ABP. Patients with ambulatory hypertension at baseline (17.0%) had smaller CRAE (146.5 versus 152.6 µm; P<0.001) at follow-up. CRAE was not different (P≥0.31) between true normotension (normal CBP and ABP; prevalence, 77.6%) and white-coat hypertension (elevated CBP and normal ABP, 5.4%) and between masked hypertension (normal CBP and elevated ABP, 10.2%) and hypertension (elevated CBP and ABP, 6.8%). In conclusion, the paradigm that retinal arteriolar narrowing precedes hypertension can be explained by the limitations of CBP measurement, including nonidentification of masked and white-coat hypertension.
© 2016 The Authors.

Entities:  

Keywords:  ambulatory blood pressure monitoring; blood pressure; hypertension; microcirculation; population science; retina

Mesh:

Year:  2016        PMID: 27324224      PMCID: PMC4956676          DOI: 10.1161/HYPERTENSIONAHA.116.07523

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


In 1892, Gunn’s pioneering work proposed narrowing of retinal arterioles as an early sign of hypertensive retinopathy and as a prognostic indicator in hypertensive patients.[1] More than a century later, abundant evidence shows that retinal arteriolar narrowing parallels target organ damage in cross-sectional studies[2] and predicts macrovascular complications in longitudinal population surveys.[3,4] At variance with the long established paradigm that retinal arteriolar narrowing trails hypertension, other studies proposed that retinal arteriolar narrowing indicates heightened microvascular resistance[5,6] and precedes the development of hypertension.[7-13] However, in these studies,[7-13] blood pressure was only conventionally measured as a single reading[9,11,13] or as the average of 2 readings,[7,8,10,12] using error-prone devices[14-16] based on an auscultatory[7-11,13] or oscillometric[12] approach. Guidelines[17] and expert opinion[18,19] currently propose ambulatory blood pressure monitoring as the state-of-the-art method for measuring blood pressure. Compared with the conventional approach, ambulatory monitoring substantially refines risk stratification in hypertensive patients[20-22] and the general population.[23-25] The greater number of readings, the absence of observer bias, and the minimization of the white-coat effect all contribute to its predictive superiority.[17] The combined application of office and ambulatory blood pressure measurement allows stratifying for white-coat and masked hypertension, reproducible conditions[26] characterized by a high conventional and normal ambulatory blood pressure or vice versa. The risk associated with white-coat hypertension is low, whereas it is high for masked hypertension.[25,27] In this article, we analyzed the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO)[28,29] to assess to what extent conventional and daytime ambulatory blood pressure at baseline predicted retinal arteriolar and venular diameters at follow-up 10 years later.

Methods

Study Population

FLEMENGHO complies with the Helsinki declaration for research in human subjects and the Belgian legislation for the protection of privacy (http://www.privacycommission.be). As described in detail elsewhere,[28,29] from August 1985 to November 1990, a random sample of the households living in a geographically defined area of Northern Belgium was investigated. All household members with a minimum age of 20 years were invited to take part, if the quota of their sex-age group had not yet been satisfied. From June 1996 to January 2004 recruitment of families continued using the former participants (1985−1990) as index persons and including teenagers. The participants were repeatedly followed up. At each contact, participants gave informed written consent. Of 3343 participants, 2904 had their daytime ambulatory blood pressure measured (1989–2008) and 1285 underwent retinal photography (2008–2015). The participation rate for ambulatory blood pressure monitoring and retinal photography amounted to 94.7% and 76.0%, respectively. In the context of this article, baseline and follow-up, respectively, refer to the dates of daytime blood pressure measurement and retinal imaging (Figure 1). We excluded participants from analysis if conventional and ambulatory blood pressure were measured at an interval >7 days (n=1039), if the daytime ambulatory blood pressure was the mean of <10 readings (n=35), or if the retinal photographs were of too low quality to be reliably graded (n=221). This left 791 participants with both conventional and ambulatory blood pressure measured and with gradable retinal photographs. Finally, we excluded 8 participants because their retinal microvascular diameters were >3 SDs lower than the population mean. Thus, the number of participants statistically analyzed totaled 783.
Figure 1.

Flowchart for study participants.

Flowchart for study participants.

Imaging of the Retinal Microvasculature

Participants were asked to refrain from heavy exercise, smoking, drinking alcohol, or caffeine-containing beverages for at least 3 hours before retinal imaging. We applied a nonmydriatic approach in a dimly lit room to obtain retinal photographs, 1 image per eye in each participant, with the Canon Cr-DGi retinal visualization system combined with the Canon D 50 digital camera (Canon Inc, Medical Equipment Group, Utsunomiya, Japan). We determined the central retinal arteriolar equivalent (CRAE) and central retinal venular equivalent, which represent the retinal arteriolar and venular diameters, respectively. We used the validated computer-assisted program IVAN (Vasculomatic ala Nicola, version 1.1; Department of Ophthalmology and Visual Science, University of Wisconsin-Madison, Madison, WI) based on formulae published by Parr and Spears[30] and Hubbard et al.[31] The IVAN software returns average vessel diameters according to the revised Knudtson formula.[32] The arteriolar:venular diameter ratio (AVR) was CRAE divided by central retinal venular equivalent. For analysis, we averaged each participant’s measurements at both eyes. Intraobserver variability according to the Bland and Altman method[33] was 11.7% for CRAE, 9.6% for central retinal venular equivalent, and 12.5% for AVR.[34] The corresponding estimates for interobserver variability were 10.8%, 9.9%, and 14.6%.[34]

Blood Pressure Measurement

Nurses measured each participant’s blood pressure at baseline and follow-up by auscultation of the Korotkoff sounds. After the participants had rested for 5 minutes in the sitting position, the observers obtained 5 consecutive blood pressure readings (phase V diastolic pressure) to the nearest 2 mm Hg, using mercury sphygmomanometers. Standard cuffs had a 12×24 cm inflatable portion, but if upper arm girth exceeded 31 cm, larger cuffs with 15×35 cm bladders were used. For analysis, the 5 blood pressure readings obtained at baseline or at follow-up were averaged. From baseline to follow-up, we implemented a stringent quality assurance and quality control program, as described in detail elsewhere.[35,36] We checked digit preference at 6-month intervals. Hypertension on conventional blood pressure measurement was a blood pressure equal to or exceeding 140 mm Hg systolic or 90 mm Hg diastolic. At baseline, within 1 week of the conventional blood pressure measurements, participants were validated[37] SpaceLabs 90204 or 90207 portable monitors to record their daytime ambulatory blood pressure from 8 am to 10 pm at 20-minute intervals. As an alternative, they could also opt having their blood pressure monitored >24 hours, but for the current study, only the daytime part of these recordings was analyzed. The recordings were sparsely edited, removing only readings labeled with an error code or with lower systolic than diastolic blood pressure level. For continuous analyses, we computed the daytime blood pressure as the within-individual mean of the readings between 10 am and 8 pm weighted for the interval between readings. This short definition of daytime eliminates the transition periods in the morning and evening during which blood pressure changes rapidly in most people and approximates within 1 to 2 mm Hg to the wakeful blood pressure recorded by the diary method.[38] In categorical analyses, ambulatory hypertension was a daytime blood pressure of 135 mm Hg systolic or 85 mm Hg diastolic or higher.[17] Normotension and sustained hypertension were a consistently normal or elevated blood pressure on conventional and ambulatory measurement. White-coat hypertension was a raised conventional blood pressure in the presence of a normal daytime blood pressure. Masked hypertension was an elevated ambulatory blood pressure with normal conventional blood pressure. Participants were cross-classified based on blood pressure levels only, irrespective of treatment with antihypertensive drugs.

Other Measurements

The nurses measured the subjects’ anthropometric characteristics. Body mass index was weight in kilograms divided by the square of height in meters. They also administered a standardized questionnaire inquiring into each participant’s medical history, smoking and drinking habits, and intake of medications. Consumption of alcohol was a daily intake of at least 5 g of ethanol.[39] Plasma glucose and total serum cholesterol were measured using automated methods in a single certified laboratory. Diabetes mellitus was described as a fasting or random glucose level exceeding 126 or 200 mg/dL (7.0 or 11.1 mmol/L) or use of antidiabetic agents.[40]

Statistical Analysis

For database management and statistical analysis, we used SAS software, version 9.4. We compared means and proportions by the standard normal z test or ANOVA and by the χ2 statistic, respectively. We applied McNemar test to assess changes over time in categorical variables. Statistical significance was a 2-sided significance level of 0.05 on 2-sided tests. First, in unadjusted analyses, we explored whether the baseline conventional and ambulatory blood pressure, either as continuous variables or by their cross-classification into normotension and white-coat, masked and sustained hypertension predicted the retinal microvascular traits at follow-up. We then searched for covariables of the retinal microvascular diameters, using a stepwise regression procedure with P values for covariables to enter and stay in the models set at 0.15. We standardized the retinal traits to the average in the whole study population (mean or ratio) for significant covariables so identified. In multivariable-adjusted analyses, we assessed conventional and ambulatory blood pressure as continuous variables or their cross-classification as predictors of the retinal traits. Fully adjusted analyses accounted for sex, age, body mass index, smoking and drinking, serum total cholesterol, plasma glucose at baseline, duration of follow-up, and 3 indicator variables coding for starting, stopping, or continuing antihypertensive drug treatment from baseline to follow-up. We computed the variance inflation factor for collinearity from regression models including both conventional and daytime blood pressure.[41] The final multivariable analyses relied on mixed models as implemented in SAS 9.4, which accounted for family clusters modeled as a random effect and the other covariables modeled as fixed effects. In sensitivity analyses, we replaced age, body mass index, smoking and drinking, serum total cholesterol, and plasma glucose by the values obtained at follow-up. In addition, we ran models relating CRAE and AVR as continuous traits with daytime blood pressure at baseline and concurrent conventional blood pressure at follow-up.

Results

Quality of the Blood Pressure Measurements

Within-individual participants, there were no missing conventional blood pressure readings in each series of 5. Of the 7830 systolic and diastolic blood pressure readings obtained by auscultation at baseline, 25.9% ended on zero, 17.5% on 2, 19.7% on 4, 18.1% on 6, and 18.8% on 8. At follow-up, these proportions were 22.0%, 19.0%, 19.8%, 19.7%, and 19.4%, respectively. Combining baseline and follow-up, only 6 readings (0.03%) ended on an odd number. The number of participants with 5 identical readings at baseline amounted to 5 (0.64%) for systolic pressure and to 7 (0.89%) for diastolic pressure. At follow-up, these numbers were 2 (0.26%) and 6 (0.77%), respectively. The number of blood pressure readings obtained by ambulatory monitoring ranged from 11 to 43 (median, 32; 5th–95th percentile interval, 19–40).

Characteristics of Participants

All 783 participants were white Europeans, of whom 402 (51.3%) were women. The study population consisted of 124 singletons and 659 related subjects, belonging to 128 one-generation families and to 88 multigeneration pedigrees. In all participants (Table 1), mean values at baseline were 38.2 years for age, 120.7/74.8 mm Hg and 122.8/76.1 mm Hg for systolic and diastolic blood pressure, respectively, on conventional and daytime measurement, and 24.7 kg/m2 for body mass index. At baseline, participants opting for 24-hour (n=299) instead of daytime (n=484) monitoring had similar sex distribution and prevalence of smoking and drinking (P≥0.21), but were on average 6.0 years older and therefore had slightly but significantly (P≤0.048) higher body mass index, blood pressure, serum cholesterol, and plasma glucose.
Table 1.

Characteristics of Participants at Baseline and Follow-Up

Characteristics of Participants at Baseline and Follow-Up Characteristics of Participants at Baseline by Blood Pressure Status Median follow-up was 10.3 years (5th–95th percentile interval, 4.8–20.2 years). From baseline to follow-up, the prevalence of smoking decreased from 21.2% to 15.8%, whereas the proportion of people drinking alcohol increased from 27.1% to 40.9%. Body mass index, the prevalence of overweight and obesity, conventional blood pressure, and treatment rates for hypertension and hyperlipidemia increased from baseline to follow-up. On the contrary, serum total cholesterol and plasma glucose decreased over time. At baseline, among 66 participants on antihypertensive drug treatment, 23 (2.9%) were taking diuretics, 53 (6.8%) inhibitors of the renin-angiotensin system (β-blockers, angiotensin-converting enzyme inhibitors, or angiotensin II type-1 receptor blockers) and 12 on vasodilators (calcium-channel blockers or α-blockers). At follow-up, the number of participants on antihypertensive drugs increased to 174, of whom 60 (7.7%) were on diuretics, 137 (17.5%) on inhibitors of the renin-angiotensin system, and 46 (5.9%) on vasodilators. From baseline to follow-up, the number of patients on combination therapy increased from 22 to 69 (P<0.001). Of the 783 participants, at baseline, 608 (77.6%) were consistently normotensive based on conventional and daytime blood pressure measurement and 42 (5.4%), 80 (10.2%), and 53 (6.8%) had white-coat, masked, or sustained hypertension (Table 2). Among 42 white-coat hypertensive patients, the conventional blood pressure thresholds were met by 16 participants (38.0%) for systolic pressure, by 19 (45.2%) for diastolic pressure, and by 7 (16.8%) for systolic and diastolic blood pressure. Among the 80 participants with masked hypertension, 27 (33.8%) satisfied the daytime threshold for systolic pressure, 32 (40.0%) the diastolic threshold, and 21 (26.2%) both.

Continuous Analyses

Figure 2 demonstrates that in unadjusted analyses, CRAE decreased (P≤0.003) across sex-specific fourths of the distributions of blood pressure, irrespective of the type of measurement.
Figure 2.

Sex-specific associations of central retinal arteriolar equivalent with conventional and daytime blood pressure. Central retinal arteriolar equivalent (CRAE) by fourths of the sex-specific distributions of systolic (SBP, A) or diastolic (DBP, B) blood pressures, based on conventional and daytime blood pressure measurements. P values for linear trend were all significant (P≤0.003).

Sex-specific associations of central retinal arteriolar equivalent with conventional and daytime blood pressure. Central retinal arteriolar equivalent (CRAE) by fourths of the sex-specific distributions of systolic (SBP, A) or diastolic (DBP, B) blood pressures, based on conventional and daytime blood pressure measurements. P values for linear trend were all significant (P≤0.003). Associations of CRAE with conventional and daytime blood pressure, either analyzed separately or introduced together in the same model, appear in Table 3. All analyses in Table 3 accounted for clustering within families. In otherwise unadjusted models, 1-SD increment in the baseline systolic/diastolic blood pressure was associated with a smaller CRAE (P<0.001) at follow-up. The estimates were −3.14/−2.83 µm and by −3.03/−2.79 µm for conventional and daytime blood pressure, respectively. With adjustments applied for the baseline variables sex, age, and smoking, these estimates became −1.68/−1.34 µm and −2.14/−1.72 µm (P≤0.010). Fully adjusted models additionally included as covariables body mass index, serum total cholesterol, plasma glucose, and drinking at baseline, follow-up duration, and 3 indicator variables coding for starting, stopping, or remaining on antihypertensive drug treatment from baseline to follow-up. In fully adjusted models, CRAE at follow-up was 1.89/1.38 µm and 2.21/1.76 µm smaller in relation to the conventional and daytime blood pressure at baseline (P≤0.011).
Table 3.

Central Retinal Arteriolar Equivalent at Follow-Up in Relation to Blood Pressure at Baseline

Central Retinal Arteriolar Equivalent at Follow-Up in Relation to Blood Pressure at Baseline Next, we introduced the conventional and daytime blood pressure together into the models (Table 3). Although accounting only for family ties, CRAE at follow-up significantly decreased in relation to both baseline conventional and daytime blood pressure with systolic/diastolic estimates amounting to −2.07/−1.86 µm (P≤0.001) and to −1.80/−1.78 µm (P≤0.002). In adjusted models, the associations of CRAE with conventional systolic/diastolic blood pressure lost significance (−0.60/−0.65 µm; P≥0.27), whereas those with daytime blood pressure remained significant (−1.83/−1.43 µm; P≤0.011). Fully adjusted models were confirmatory with effect sizes of −0.94/−0.75 µm (P≥0.14) and of −1.75/−1.46 µm (P≤0.011) for conventional and daytime blood pressure, respectively (Figure 3). In all models including both conventional and daytime blood pressure, the variance inflation factor for collinearity was ≤1.94. Finally, sensitivity analyses, in which we adjusted for covariables measured at follow-up instead of baseline, produced consistent results (Table S1 and Figure S1 in the online-only Data Supplement). The same was true if we additionally replaced baseline conventional blood pressure by concurrent conventional blood pressure (Table S2).
Figure 3.

Multivariable-adjusted associations of central retinal arteriolar equivalent with systolic and diastolic blood pressure. The plane shows the independent associations of central retinal arteriolar equivalent (CRAE) with systolic (SBP; A) and diastolic (DBP; B) blood pressures, based on conventional and daytime measurement. The plotted plane was standardized to the midpoints of the distributions (means or ratios) of sex, age, body mass index, serum total cholesterol, plasma glucose, smoking, and drinking at baseline, to follow-up duration, and to 3 indicator variables coding for starting, stopping, or continuing antihypertensive drug treatment from baseline to follow-up.

Multivariable-adjusted associations of central retinal arteriolar equivalent with systolic and diastolic blood pressure. The plane shows the independent associations of central retinal arteriolar equivalent (CRAE) with systolic (SBP; A) and diastolic (DBP; B) blood pressures, based on conventional and daytime measurement. The plotted plane was standardized to the midpoints of the distributions (means or ratios) of sex, age, body mass index, serum total cholesterol, plasma glucose, smoking, and drinking at baseline, to follow-up duration, and to 3 indicator variables coding for starting, stopping, or continuing antihypertensive drug treatment from baseline to follow-up. Both before and after adjustment for baseline or follow-up variables, all associations of central retinal venular equivalent with conventional and daytime blood pressure were nonsignificant (0.06≤P≤0.87; Tables S3 and S4); the associations of AVR with blood pressure mirrored those of CRAE, the numerator of AVR (Tables S5 and S6).

Categorical Analyses

Table 4 shows the retinal traits by cross-classification based on the baseline conventional and daytime blood pressure. Patients with ambulatory hypertension at baseline (17.0%) had smaller CRAE (146.5 versus 152.6 µm; P<0.001) and AVR (0.68 versus 0.70; P=0.004) at follow-up. Participants with sustained hypertension had smaller CRAE than those with normotension and white-coat hypertension (P≤0.050), whereas there was no difference between participants with sustained hypertension and masked hypertension (P≥0.31), irrespective of whether the analyses were fully adjusted (Table 4). Furthermore, participants with sustained hypertension had smaller AVR than normotensive people (P≤0.015), again irrespective of adjustment (Table 4). Sensitivity analyses from which we excluded participants on antihypertensive drug treatment at baseline (Table S7) or accounting for covariables measured at follow-up instead of baseline were confirmatory (Table S8).
Table 4.

Retinal Phenotypes at Follow-Up by Hypertension Category at Baseline

Retinal Phenotypes at Follow-Up by Hypertension Category at Baseline

Discussion

To our knowledge, our study is the first longitudinal population survey assessing the association of retinal microvascular traits with conventional and daytime ambulatory blood pressure either analyzed as continuous variables or categorized into distinct hypertension subtypes. The key findings can be summarized as follows: (1) CRAE and AVR at follow-up decreased with blood pressure at baseline, irrespective of the type of measurement; (2) in the presence of daytime ambulatory blood pressure, conventional blood pressure did not predict the retinal microvascular traits at follow-up; (3) in the presence of concurrent conventional blood pressure, baseline daytime blood pressure retained its predictive value for CRAE and AVR; (4) masked hypertension had a prevalence of 10% and was associated with the same degree of retinal arteriolar narrowing as sustained hypertension; (5) and white-coat hypertension, being present in 5.4% of participants, was not associated with retinal arteriolar narrowing compared with normotension. A key question is whether retinal arteriolar narrowing occurs in response to current blood pressure levels or whether it relates to previous blood pressure levels, regardless of the current blood pressure level, and therefore reflects persisting arteriolar damage. Three previous population studies[42-44] assessed the association between retinal traits from photographs taken at 1 eye[42-44] and concurrent and past blood pressure. The exposure variable was a single blood pressure reading[44,45] or the average of 2 readings,[42,43] obtained with a standard mercury sphygmomanometer[44,45] or with the Hawksley random zero device.[42,43] Previous blood pressure was obtained 3,[42] 5,[44] 6,[42] or up to 8[43] years before retinal imaging. The report of the Atherosclerosis Risk in Communities (ARIC) study[42] included 9300 nondiabetic participants representing 4 communities (age range, 50–71 years; 56.2% women; 19.0% blacks). In multivariable-adjusted analyses, AVR decreased (P≤0.009) with concurrent and past mean arterial pressure, irrespective of sex and antihypertensive drug treatment. Effect sizes for a 10-mm Hg higher level of mean arterial pressure ranged from −0.010 to −0.018 and from −0.006 to −0.012 for concurrent and past blood pressure, respectively. Among 10 hypertensive retinal signs, 8 were associated with concurrent blood pressure, but arteriovenous nicking was the only retinal abnormality associated with both concurrent and past blood pressure with odds ratios per 10-mm Hg increment in mean arterial pressure of 1.10 (95% confidence interval, 1.00–1.21) and 1.28 (1.15–1.43), respectively.[42] In the Cardiovascular Health Study (CHS),[43] generalized arteriolar narrowing was defined as the lowest fifth of the CRAE distribution. Among 2405 participants, aged ≥65 years (60.0% women; 14.6% blacks; and 14.5% diabetic patients), the odds ratios of arteriolar narrowing, expressed per 10-mm Hg increments in blood pressure level, were 1.11 (1.04–1.18) systolic and 1.17 (1.04–1.31) diastolic for concurrent blood pressure and 1.15 (1.07–1.24) systolic and 1.30 (1.12–1.50) diastolic for past blood pressure.[43] However, with adjustment for concurrent blood pressure, generalized arteriolar narrowing was the only of 4 retinal signs that remained significantly associated with past blood pressure.[43] The Blue Mountains Eye Study (BMES)[44] reported that among 2002 people aged ≥54 years (57.6% women), the multivariable-adjusted slopes of CRAE on systolic/diastolic blood pressure were −0.13/−0.14 µm per mm Hg for concurrent blood pressure and −0.05/−0.09 µm per mm Hg for past blood pressure.[44] For AVR, these estimates were −0.12/−0.15 U per mm Hg and −0.02/−0.10 U per mm Hg, respectively.[44] To summarize, the combined evidence from 3 cohort studies[42-44] demonstrates that, expectedly, concurrent compared with past blood pressure is a stronger correlate of retinal microvascular traits. Moving from retrospective[42-44] to prospective studies, 7 reports[7-13] suggested that retinal arteriolar narrowing precedes the development of hypertension. Mean follow-up from retinal imaging at baseline to the diagnosis of incident hypertension ranged from 3 years in the Multi-Ethnic Study of Atherosclerosis (MESA)[8] to 10 years in the Beaver Dam Eye Study (BDES)[7] and BMES,[11] and sample size ranged from 1058 in the Funagata Study[13] to 5628 in ARIC.[8] In all,[7,8,10-13] but 1 study,[9] hypertension was a conventional blood pressure of ≥140 mm Hg systolic or ≥90 mm Hg diastolic or use of antihypertensive drugs. Incident hypertension in BMES[9] also included untreated severe hypertension with as thresholds 160 mm Hg systolic and 100 mm Hg diastolic. Mean age at enrollment ranged from 57.3[13] to 64.3[10] years. In all[7,8,10-13] but 1[9] study, the multivariable analyses accounted for blood pressure at baseline at the time of retinal imaging. Five studies[7,10-13] expressed the risk of hypertension per 1-SD increment in CRAE,[12,13] AVR,[7] or both.[10,11] In these continuous analyses, the maximally adjusted odds ratios ranged from 1.10 (1.10–1.20)[11] to 1.53 (1.08–2.18)[13] for CRAE and from 1.10 (1.00–1.20)[11] to 1.31 (1.18–1.45)[7] for AVR. In 7 reports,[7-13] investigators also compared the risk of hypertension between the bottom and top quantile of the distributions of CRAE,[12,13] AVR,[7,8] or both,[9-11] subdivided into thirds,[13] fourths,[7,10,12] or fifths.[8,9,11] In these analyses, odds ratios ranged from 1.47 (1.01–2.14)[12] to 2.15 (1.58–2.93)[10] for CRAE and from 1.50 (1.20–2.00)[11] to 2.00 (1.30–3.00)[9] for AVR. In view of contemporary knowledge,[17-19] not yet available at the time of recruitment for the aforementioned prospective studies,[7-13] blood pressure measurement constitutes a major limitation in their interpretation. Indeed, in all studies,[7-13] blood pressure was the only conventionally measured as a single reading[9,11,13] or as the average of 2 readings,[7,8,10,12] using error-prone devices[14-16] based on auscultatory[7-11,13] or oscillometric[12] techniques. None of the studies reported on digit or number preference. Moreover, a single blood pressure reading or the average of 2 at a single visit is insufficient to differentiate normotension from hypertension.[17,46] A major contribution of ambulatory blood pressure monitoring to risk stratification is the cross-classification between office and ambulatory blood pressure.[17] The International Database on Ambulatory Blood Pressure Monitoring in Relation to Cardiovascular Outcome (IDACO) includes randomly recruited population samples who had office and ambulatory blood pressure and cardiovascular risk factors measured at baseline with a longitudinal follow-up of fatal and nonfatal cardiovascular outcomes.[25,27] Using a daytime threshold of 135/85 mm Hg,[17] the prevalence of normotension and white-coat, masked, and sustained hypertension was 49.4%, 10.6%, 14.5%, and 25.5%, respectively.[25] The multivariable-adjusted risk associated with white-coat hypertension did not differ from normotension, whereas masked hypertension conferred a risk not different from that of sustained hypertension.[25] Among untreated IDACO participants with office normotension (<120/<80 mm Hg[46]) or office prehypertension (120–139/80–89 mm Hg[46]), the multivariable-adjusted hazard ratios associated with masked hypertension in normotensive subjects were 2.11 (1.24–3.60; P=0.007) for a composite cardiovascular end point and 3.02 (1.25–7.32; P=0.01) for stroke.[27] The corresponding hazard ratios associated with masked hypertension in prehypertensive subjects were 2.08 (1.67–2.59; P<0.0001) and 2.97 (2.03–4.35; P<0.0001), respectively.[27] In the reviewed prospective studies,[7-13] normotension at the time of retinal imaging includes masked hypertension, a forerunner of sustained hypertension,[47,48] which as shown in our current study is associated with retinal arteriolar narrowing. Furthermore, hypertension at follow-up in the reviewed studies encompasses white-coat hypertension, of which the prevalence increases with a lower number of conventional readings,[49] higher conventional blood pressure,[49,50] and advancing age.[49,50] Compared with normotension, the cardiovascular risk associated with white-coat hypertension also increases with longer follow-up with a hazard ratio of 1.30 (1.01–1.68; P=0.043) at 12 years of follow-up.[25] Disregarding masked hypertension at baseline and higher conventional blood pressure at baseline as precursor of white-coat hypertension at follow-up,[49,50] in our view, necessitate revision of the hypothesis that retinal arteriolar narrowing precedes true hypertension.[7-13] In our current study, we did not take photographs at baseline. However, in the retrospective[42-44] and prospective[7-13] studies reviewed above, the conventional blood pressure was always measured at baseline and follow-up, but retinal photographs were lacking at baseline in the retrospective studies[42-44] and at follow-up in the prospective studies[7-13] that proposed that retinal arteriolar narrowing precedes hypertension. We did a sensitivity analysis showing that even in the presence of concurrent conventional blood pressure daytime ambulatory blood pressure at baseline remained a predictor of retinal arteriolar narrowing at follow-up (Table S2). In previous studies based on conventional blood pressure measurement, concurrent compared with past blood pressure was consistently a stronger correlate of the retinal microvascular traits.[42-44] Moreover, retinal arteriolar diameter decreases with aging,[34] making it unlikely that in our current study, we missed retinal arteriolar narrowing already being present at baseline. Our current study has to be interpreted within the context of other potential limitations and its strengths. First, at baseline, there was a slight overrepresentation of conventional blood pressure readings ending in zero (25.9% versus the expected 20%). However, to our knowledge, FLEMENGHO is among the few studies that reported on the quality of both conventional and ambulatory blood pressure measurement. Second, in line with current practice,[17] we used daytime not 24-hour ambulatory blood pressure to cross-classify our participants. However, previous studies demonstrated that using daytime or 24-h blood pressure yields similar proportions of patients with white-coat and masked hypertension,[48] as well as similar estimates of cardiovascular risk.[27] Third, the prevalence of white-coat hypertension in our study was about half of that in other studies of populations[25,27] and patients.[48] However, our participants were repeatedly followed up by the same team of study nurses living in the catchment area of the study. Familiarization of participants with the study team is a likely explanation of the low prevalence of white-coat hypertension. Fourth, ≈20% of invitees declined retinal imaging at follow-up. However, participants and nonparticipants did not differ (P≥0.16) in age, body mass index, conventional and daytime blood pressure level, or prevalence of hypertension or smoking. Finally, our study included only white Europeans. However, in the international multiethnic IDACO study, there were no differences in the risks associated with blood pressure among Europeans, Asians, and South Americans.[27]

Perspectives

The paradigm that retinal arteriolar narrowing precedes hypertension can be explained by the limitations of conventional blood pressure measurement, including the nonidentification of white-coat and masked hypertension. The take-home message of our current study is that multiple measurements of blood pressure outside the medical environment are superior to fewer measurements by observers and that ambulatory monitoring, as already proposed a decade ago by Pickering et al[18,19] and as reiterated in contemporary guidelines,[17] is the state-of-the-art technique for assessing blood pressure in clinical practice and research.

Acknowledgments

We acknowledge the contribution of the nurses working at the examination center (Linda Custers, Marie-Jeanne Jehoul, Daisy Thijs, and Hanne Truyens) and the clerical staff at the Studies Coordinating Centre (Vera De Leebeeck, Yvette Piccart, and Renilde Wolfs).

Sources of Funding

The European Union (HEALTH-2011.2.4.2-2-EU-MASCARA, HEALTH-F7-305507 HOMAGE and the European Research Council Advanced Researcher Grant-2011-294713-EPLORE) and the Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Ministry of the Flemish Community, Brussels, Belgium (G.0881.13 and G.088013) currently support the Studies Coordinating Centre in Leuven.

Disclosures

None.
Table 2.

Characteristics of Participants at Baseline by Blood Pressure Status

  47 in total

Review 1.  Ambulatory blood-pressure monitoring.

Authors:  Thomas G Pickering; Daichi Shimbo; Donald Haas
Journal:  N Engl J Med       Date:  2006-06-01       Impact factor: 91.245

2.  Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Systolic Hypertension in Europe Trial Investigators.

Authors:  J A Staessen; L Thijs; R Fagard; E T O'Brien; D Clement; P W de Leeuw; G Mancia; C Nachev; P Palatini; G Parati; J Tuomilehto; J Webster
Journal:  JAMA       Date:  1999-08-11       Impact factor: 56.272

3.  Retinal arteriolar diameters and elevated blood pressure: the Atherosclerosis Risk in Communities Study.

Authors:  A R Sharrett; L D Hubbard; L S Cooper; P D Sorlie; R J Brothers; F J Nieto; J L Pinsky; R Klein
Journal:  Am J Epidemiol       Date:  1999-08-01       Impact factor: 4.897

4.  Evaluation of noninvasive blood pressure monitoring devices Spacelabs 90202 and 90207 versus resting and ambulatory 24-hour intra-arterial blood pressure.

Authors:  A Groppelli; S Omboni; G Parati; G Mancia
Journal:  Hypertension       Date:  1992-08       Impact factor: 10.190

5.  Comparison of Dinamap PRO-100 and mercury sphygmomanometer blood pressure measurements in a population-based study.

Authors:  Hanyu Ni; Colin Wu; Ronald Prineas; Steven Shea; Kiang Liu; Richard Kronmal; Diane Bild
Journal:  Am J Hypertens       Date:  2006-04       Impact factor: 2.689

Review 6.  Are vascular abnormalities a primary cause or secondary consequence of hypertension?

Authors:  M J Mulvany
Journal:  Hypertension       Date:  1991-09       Impact factor: 10.190

7.  Prognostic accuracy of day versus night ambulatory blood pressure: a cohort study.

Authors:  José Boggia; Yan Li; Lutgarde Thijs; Tine W Hansen; Masahiro Kikuya; Kristina Björklund-Bodegård; Tom Richart; Takayoshi Ohkubo; Tatiana Kuznetsova; Christian Torp-Pedersen; Lars Lind; Hans Ibsen; Yutaka Imai; Jiguang Wang; Edgardo Sandoya; Eoin O'Brien; Jan A Staessen
Journal:  Lancet       Date:  2007-10-06       Impact factor: 79.321

8.  Relationships between age, blood pressure, and retinal vessel diameters in an older population.

Authors:  Harry Leung; Jie Jin Wang; Elena Rochtchina; Ava G Tan; Tien Y Wong; Ronald Klein; Larry D Hubbard; Paul Mitchell
Journal:  Invest Ophthalmol Vis Sci       Date:  2003-07       Impact factor: 4.799

9.  Retinal microvascular abnormalities and blood pressure in older people: the Cardiovascular Health Study.

Authors:  T Y Wong; L D Hubbard; R Klein; E K Marino; R Kronmal; A R Sharrett; D S Siscovick; G Burke; J M Tielsch
Journal:  Br J Ophthalmol       Date:  2002-09       Impact factor: 4.638

10.  Age-specific differences between conventional and ambulatory daytime blood pressure values.

Authors:  David Conen; Stefanie Aeschbacher; Lutgarde Thijs; Yan Li; José Boggia; Kei Asayama; Tine W Hansen; Masahiro Kikuya; Kristina Björklund-Bodegård; Takayoshi Ohkubo; Jørgen Jeppesen; Yu-Mei Gu; Christian Torp-Pedersen; Eamon Dolan; Tatiana Kuznetsova; Katarzyna Stolarz-Skrzypek; Valérie Tikhonoff; Tobias Schoen; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Edgardo Sandoya; Kalina Kawecka-Jaszcz; Luis Mena; Gladys E Maestre; Jan Filipovský; Yutaka Imai; Eoin O'Brien; Ji-Guang Wang; Lorenz Risch; Jan A Staessen
Journal:  Hypertension       Date:  2014-09-02       Impact factor: 10.190

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  12 in total

1.  Skin microvascular function, as assessed with laser speckle contrast imaging, is impaired in untreated essential and masked hypertension.

Authors:  Antonios Lazaridis; Areti Triantafyllou; Konstantina Dipla; Panagiotis Dolgyras; Nikolaos Koletsos; Panagiota Anyfanti; Spyros Aslanidis; Stella Douma; Eugenia Gkaliagkousi
Journal:  Hypertens Res       Date:  2021-12-16       Impact factor: 3.872

2.  Open-Angle Glaucomatous Optic Neuropathy Is Related to Dips Rather Than Increases in the Mean Arterial Pressure Over 24-H.

Authors:  Jesus D Melgarejo; Jan V Eijgen; Gladys E Maestre; Lama A Al-Aswad; Lutgarde Thijs; Luis J Mena; Joseph H Lee; Joseph D Terwilliger; Michele Petitto; Carlos A Chávez; Miguel Brito; Gustavo Calmon; Egle Silva; Dong-Mei Wei; Ella Cutsforth; Karel V Keer; C Gustavo De Moraes; Thomas Vanassche; Stefan Janssens; Ingeborg Stalmans; Peter Verhamme; Jan A Staessen; Zhen-Yu Zhang
Journal:  Am J Hypertens       Date:  2022-08-01       Impact factor: 3.080

3.  Association between hypertension and retinal vascular features in ultra-widefield fundus imaging.

Authors:  Gavin Robertson; Alan Fleming; Michelle Claire Williams; Emanuele Trucco; Nicola Quinn; Ruth Hogg; Gareth J McKay; Frank Kee; Ian Young; Enrico Pellegrini; David E Newby; Edwin J R van Beek; Tunde Peto; Baljean Dhillon; Jano van Hemert; Thomas J MacGillivray
Journal:  Open Heart       Date:  2020-01-08

Review 4.  Hypertensive eye disease.

Authors:  Carol Y Cheung; Valérie Biousse; Pearse A Keane; Ernesto L Schiffrin; Tien Y Wong
Journal:  Nat Rev Dis Primers       Date:  2022-03-10       Impact factor: 52.329

5.  Conventional and Ambulatory Blood Pressure as Predictors of Diastolic Left Ventricular Function in a Flemish Population.

Authors:  Fang-Fei Wei; Wen-Yi Yang; Lutgarde Thijs; Zhen-Yu Zhang; Nicholas Cauwenberghs; Jan Van Keer; Qi-Fang Huang; Blerim Mujaj; Tatiana Kuznetsova; Karel Allegaert; Peter Verhamme; Jan A Staessen
Journal:  J Am Heart Assoc       Date:  2018-02-08       Impact factor: 5.501

Review 6.  The eye, the kidney, and cardiovascular disease: old concepts, better tools, and new horizons.

Authors:  Tariq E Farrah; Baljean Dhillon; Pearse A Keane; David J Webb; Neeraj Dhaun
Journal:  Kidney Int       Date:  2020-02-27       Impact factor: 10.612

7.  Retinal Microvasculature in Relation to Central Hemodynamics in a Flemish Population.

Authors:  Fang-Fei Wei; Lutgarde Thijs; Cai-Guo Yu; Jesus D Melgarejo; Zhen-Yu Zhang; Gladys E Maestre; Harry A J Struijker-Boudier; Peter Verhamme; Jan A Staessen
Journal:  Hypertension       Date:  2019-07-08       Impact factor: 10.190

8.  Association between retinal arterial narrowing and left ventricular diastolic dysfunction in masked hypertensives.

Authors:  Huiling Huang; Yalin Cao; Jiayong Li; Chen Liu; Marvin Owusu-Agyeman; Baolin Chen; Ling Li; Fawang Du; Xingwei Hu; Yanqiu Liu; Min Ye; Bin Dong; Ruicong Xue; Yugang Dong; Fengjuan Yao
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-05-19       Impact factor: 3.738

9.  Retinal microcirculation and leukocyte telomere length in the general population.

Authors:  Dries S Martens; Fang-Fei Wei; Bianca Cox; Michelle Plusquin; Lutgarde Thijs; Ellen Winckelmans; Zhen-Yu Zhang; Tim S Nawrot; Jan A Staessen
Journal:  Sci Rep       Date:  2018-05-04       Impact factor: 4.379

10.  Inactive matrix Gla protein is a novel circulating biomarker predicting retinal arteriolar narrowing in humans.

Authors:  Fang-Fei Wei; Qi-Fang Huang; Zhen-Yu Zhang; Karel Van Keer; Lutgarde Thijs; Sander Trenson; Wen-Yi Yang; Nicholas Cauwenberghs; Blerim Mujaj; Tatiana Kuznetsova; Karel Allegaert; Harry A J Struijker-Boudier; Peter Verhamme; Cees Vermeer; Jan A Staessen
Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

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