Literature DB >> 29379316

Masked hypertension and cardiovascular outcomes: an updated systematic review and meta-analysis.

Mohan Palla1, Hamidreza Saber1, Sanjana Konda1, Alexandros Briasoulis2.   

Abstract

BACKGROUND: As many as one-third of individuals with normal office blood pressure (BP) are diagnosed with masked hypertension (HTN) based on ambulatory BP measurements (ABPM). Masked HTN is associated with higher risk of sustained HTN (SH) and increased cardiovascular morbidity.
METHODS: The present study was designed to systematically review cohort studies and assess the effects of masked HTN compared to normotension and SH on cardiovascular events and all-cause mortality. We systematically searched the electronic databases, such as MEDLINE, PubMed, Embase, and Cochrane for prospective cohort studies, which evaluated participants with office and ambulatory and/or home BP.
RESULTS: We included nine studies with a total number of 14729 participants (11245 normotensives, 3484 participants with masked HTN, 1984 participants with white-coat HTN, and 5143 participants with SH) with a mean age of 58 years and follow-up of 9.5 years. Individuals with masked HTN had significantly increased rates of cardiovascular events and all-cause mortality than normotensives and white-coat HTN and had lower rates of cardiovascular events than those with SH (odds ratio 0.61, 95% confidence interval 0.42-0.89; P=0.010; I2=84%). Among patients on antihypertensive treatment, masked HTN was associated with higher rates of cardiovascular events than in those with normotension and white-coat HTN and similar rates of cardiovascular events in those with treated SH.
CONCLUSION: Prompt screening of high-risk individuals with home BP measurements and ABPM, the diagnosis of masked HTN, and the initiation of treatment, may mitigate the adverse cardiovascular effects of masked HTN.

Entities:  

Keywords:  cardiovascular outcomes; masked hypertension; meta-analysis

Year:  2018        PMID: 29379316      PMCID: PMC5759852          DOI: 10.2147/IBPC.S128947

Source DB:  PubMed          Journal:  Integr Blood Press Control        ISSN: 1178-7104


Introduction

Prevalence rates of hypertension (HTN) in the US adult population have increased remarkably over the past two decades but appear to have remained unchanged over the past 10 years, according to data from the National Health and Nutrition Examination Survey (NHANES). HTN contributes to one out of every seven deaths in the US and to nearly half of all cardiovascular disease-related deaths, including stroke. Despite the success of drug therapy in treating HTN and reducing associated adverse cardiovascular effects, the percentage of patients achieving adequate blood pressure (BP) control worldwide remains unacceptably low. Recent data suggest an improvement in the treatment and control of HTN; however, ~48% of those treated are not at a BP goal of <140/90 mmHg in the US.1 These numbers are even higher among hypertensive patients in Europe.2 Importantly, about one-third of hypertensives whose BP levels appear well controlled according to clinic BP measurements have high BP outside the doctor’s office.3,4 The frequency of ambulatory HTN is even higher among patients with chronic kidney disease.5 This phenomenon is called masked HTN or isolated ambulatory HTN and is defined as clinic BP <140/90 mmHg and daytime ambulatory BP ≥135/85 mmHg. An analysis of Dallas Heart Study suggested that in a multiethnic US population, masked HTN was independently associated with increased aortic stiffness, renal injury, and incident cardiovascular events and its prevalence was 17.8%.6 Furthermore, a prospective analysis of the Jackson Heart study cohort of African Americans showed an incidence of masked HTN of 52% and an association with cardiovascular events but not all-cause mortality.7 Moreover, masked HTN was found to be associated with symptoms of end-organ damage such as left ventricular hypertrophy, increased pulse wave velocity, and carotid intima and media thickness.4 To further explore the outcomes of masked HTN both in treated and untreated groups of patient populations, we performed an updated meta-analysis.

Methods

Search strategy

Systematic electronic search was performed on MEDLINE (PubMed interface), Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) with no language limitations. We used the MESH terms “masked hypertension” and “white coat hypertension”. Two reviewers (MP and AB) independently screened titles and abstracts based on inclusion and exclusion criteria. After eliminating irrelevant articles, full-text reports were reviewed. Subsequently, we hand searched all included studies until no further relevant studies were identified. Disagreements between the two reviewers were resolved by the third reviewer. Finally, a total of nine studies have been identified. The electronic search was last updated on September 20, 2017.

Study selection

We included randomized clinical trials, prospective and retrospective observational studies published as original articles in peer-reviewed scientific journals. The population studied was patients who were treated for masked HTN, white-coat HTN, normotension, or sustained HTN (SH). We excluded nonhuman studies, incorrect comparator studies, single-arm noncomparative studies, and review articles. We did not restrict eligibility based on study outcomes.

Data extraction and quality

The data were independently extracted by two authors (MP and AB) using standardized protocol and data extraction form. Disagreements were resolved by discussion with the third reviewer, and consensus was reached after discussion. We extracted data on outcome measures, study characteristics, such as study design, year of study, study population, sample size, and follow-up duration, and patient characteristics, such as baseline demographic and clinical characteristics.

Assessment of outcomes

Our primary outcome measure was composite cardiovascular events. Secondary outcome measures were all-cause mortality and stroke.

Risk of bias

Cochrane’s risk of bias tool has been used in order to assess the individual risk of bias of each study.19–21 Two authors (MP and AB) independently assessed the risk of bias and quality of studies in each eligible trial. The criteria used for the risk of bias assessment were adequate sequence generation, allocation concealment, blinding of participants, research personnel and outcome assessors, personnel and outcome assessors, incomplete outcome data, and selective outcome reporting. Low-quality studies had two or more quality assessment criteria qualified as high or unclear risk of bias.

Data analysis, summary measures, and synthesis of results

Systematic review and meta-analysis were done in compliance with the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement.19–21 Meta-analyses were performed by using the Review Manager (RevMan) Version 5.3 (Nordic Cochrane Centre, The Cochrane Collaboration, 2012, Copenhagen, Denmark). Chi-square test of heterogeneity and I2 statistic of inconsistency were used to assess the heterogeneity between studies. I2 values of 25, 50, and 75% were considered as low, moderate, and high heterogeneities, respectively.22 A significant heterogeneity was considered if P<0.05 or I2 statistics >25%. Pooled effect of intervention was measured using odds ratio (OR) or standardized mean difference (SMD) with 95% confidence interval (CI). Mantel–Haenszel fixed-effects model was used to estimate the pooled effect measure if the heterogeneity is <25%. In case of significant heterogeneity between studies, DerSimonian and Laird23 random-effects model was used. Reported values are two tailed, and hypothesis testing results were considered statistically significant at P<0.05. Sensitivity analyses were performed by eliminating each study at a time to assess the influence of any included study on the results and the robustness of results. Significant heterogeneity between the studies was further explored using subgroup analyses. The small study effect, including publication bias, was tested using the visual estimation of funnel plot for asymmetry and Egger’s regression test.24,25 If visual asymmetry funnel plot was found, then nonparametric trim and fill method of Duvall and Tweedie was performed to add studies that appeared to be missing.26

Results

Study characteristics

Electronic search of scientific literature identified 1553 articles. After deduplication, screening of titles and abstracts, and full-text review based on inclusion and exclusion criteria, nine studies were identified and included in the meta-analysis.6,7,16,27–32 The characteristics of each study are shown in Table 1.
Table 1

Study characteristics

StudyStudy designSample size
Mean follow-up (years)
Masked HTNNormotensionWhite-coat HTNSustained HTN
Björklund et al (2003)27Prospective observational study821883085.9
Fagard et al (2005)28Prospective observational study311368710510.9
Mancia et al (2006)29Prospective observational study18490924252812.3
Hansen et al (2006)30Prospective observational study21185915947112.8
Pierdomenico et al (2008)31Prospective observational study1204716.6
Stergiou et al (2014)16Prospective observational study636331292515858.3
Asayama et al (2014)32Prospective observational study16124176515193411.1
Booth et al (2016)7Prospective observational study3853538.5
Tientcheu et al (2017)6Prospective observational study256865562129.5

Abbreviation: HTN, hypertension.

Patient characteristics

A total number of 14729 participants (11245 normotensives, 3484 participants with masked HTN, 1984 participants with white-coat HTN, and 5143 participants with SH) were included in the meta-analysis. The mean age of the study population was 58 years. Other baseline demographics and clinical characteristics are shown in Table 2. The mean follow-up duration was 9.5 years. Clinic and ambulatory mean BP measurements are shown in Table 3.
Table 2

Baseline clinical characteristics

StudyAge (mean, years)
Males (%)
BMI (mean, kg/m2)
Smokers (%)
DM (%)
Masked HTNNormo-tensionWhite-coat HTNSustained HTNMasked HTNNormo-tensionWhite-coat HTNSustained HTNMasked HTNNormo-tensionWhite-coat HTNSustained HTNMasked HTNNormo-tensionWhite-coat HTNSustained HTNMasked HTNNormo-tensionWhite-coat HTNSustained HTN
Björklund et al277070701001001002625262221225615
Fagard et al286869707255482835282727282926812041012
Mancia et al2953445260684353582624272842272421
Hansen et al30555360606345416326242627525022383114
Pierdomenico et al315050574426263019
Stergiou et al16656062665437434626242527261715181681013
Asayama et al32534659616345546726242627373119277489
Booth et al76057372131311273117
Tientcheu et al6474049504744424631283132302627321772121

Abbreviations: BMI, body mass index; DM, diabetes mellitus; HTN, hypertension.

Table 3

Clinic and ambulatory blood pressure measurements

StudyClinic BP (mmHg)
Ambulatory BP (mmHg)
Normal ambulatory BP
Masked HTNNormotensionWhite-coat HTNSustained HTNMasked HTNNormotensionWhite-coat HTNSustained HTN
Björklund et al27129/77126/76155/87145/80 (daytime)124/73 (daytime)151/84 (daytime)Daytime <135/85
115/64 (nighttime)106/62 (nighttime)127/69 (nighttime)
Fagard et al28128/75123/72154/80163/83140/84 (daytime)120/73 (daytime)126/72 (daytime)145/83 (daytime)Daytime <135/85
Mancia et al29126/81118/77140/90157/94134/84111/70120/75146/86Home <135/83
Hansen et al30126/82117/77144/90148/92139/84 (daytime)123/74 (daytime)129/77 (daytime) 112/63145/87 (daytime)Daytime <135/85
115/67 (nighttime)106/60 (nighttime)(nighttime) 124/73125/71 (nighttime)
133/79 (24 hours)118/70 (24 hours)(24 hours)139/82 (24 hours)
Pierdomenico et al31133/82129/80135/85 (daytime)124/77 (daytime)Daytime <135/85
118/71 (nighttime)110/65 (nighttime)
130/81 (24 hours)120/74 (24 hours)
Stergiou et al16128/76122/73149/86157/89142/84118/71124/75149/8524 hours <135/85
Asayama et al32126/79117/73148/86157/92139/85 (daytime)121/74 (daytime)128/77 (daytime) 110/63147/87 (daytime)Daytime <135/85
121/70 (nighttime)104/60 (nighttime)(nighttime) 121/72128/73 (nighttime)nighttime <120/70
133/80 (24 hours)115/69 (24 hours)(24 hours)141/83 (24 hours)24 hours <130/80
Booth et al7123/75117/74134/80 (daytime)119/72 (daytime)Daytime <135/85
127/72 (nighttime)107/61 (nighttime)nighttime <120/70
131/77 (24 hours)114/68 (24 hours)24 hours <130/80
Tientcheu et al6141/87117/74123/76154/92127/79118/74146/88153/9124 hours <135/85

Abbreviations: BP, blood pressure; HTN, hypertension.

Masked HTN versus normotension

Composite cardiovascular events

Composite cardiovascular events occurred in 12.3% of patients with masked HTN and 5.1% of patients with normotension. The frequency of cardiovascular events was significantly higher in patients with masked HTN (OR 2.91, 95% CI 2.54–3.33; P<0.00001; I2=17%, Figure 1A). No significant heterogeneity was seen among studies.
Figure 1

Masked HTN versus normotension – whole cohort.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality

All-cause death occurred in 15.8% of patients with masked HTN and 7.8% of patients with normotension. The risk of all-cause mortality was significantly higher in patients with masked HTN (OR 2.65, 95% CI 2.18–3.23; P<0.00001; I2=0%, Figure 1B) without significant heterogeneity among studies.

Masked HTN versus white-coat HTN

Composite cardiovascular events were encountered in 12.8% of patients with masked HTN and 10.8% of patients with white-coat HTN, and the risk of cardiovascular events was significantly higher in patients with masked HTN (OR 1.38, 95% CI 1.04–1.83; P=0.02; I2=41%, Figure 2A) with significant heterogeneity among studies.
Figure 2

Masked HTN versus white-coat HTN – whole cohort.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

The rates of all-cause mortality were significantly elevated in patients with masked HTN (OR 1.71, 95% CI 1.34–2.19; P<0.0001; I2=0%, Figure 2B) without significant heterogeneity among studies.

Masked HTN versus SH

Composite cardiovascular events occurred in 12.7% of patients with masked HTN and 19.3% of patients with SH. We found significantly lower risk of cardiovascular events in patients with masked HTN compared with patients with SH (OR 0.61, 95% CI 0.42–0.89; P=0.010; I2=84%, Figure 3A). However, significant heterogeneity was presented among the included studies.
Figure 3

Masked HTN versus sustained HTN – whole cohort.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

We did not identify significant differences in the all-cause mortality rates between patients with masked and SH (OR 1.00, 95% CI 0.44–2.26; P=1.0; I2=90%, Figure 3B). Significant heterogeneity was found among the included studies.

Patients without treatment

Masked HTN versus normotension – untreated patients

Composite cardiovascular events

We observed significantly higher rates of cardiovascular events in patients with masked HTN (OR 3.10, 95% CI 2.50–3.83; P<0.00001; I2=4%, Figure 4A) without significant heterogeneity among studies.
Figure 4

Masked HTN versus normotension – untreated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality

All-cause death occurred in 10.3% of patients with masked HTN and 3.5% of patients with normotension. The risk of all-cause mortality was significantly higher in patients with masked HTN (OR 3.12, 95% CI 2.24–4.35; P<0.00001; I2=28%, Figure 4B) without significant heterogeneity among studies.

Masked HTN versus white-coat HTN – untreated patients

Composite cardiovascular events occurred in 11.9% of patients with masked HTN and 9.6% of patients with white-coat HTN with significantly higher risk of cardiovascular events in patients with masked HTN (OR 1.33, 95% CI 1.01–1.75; P=0.04; I2 = 3%, Figure 5A) without significant heterogeneity among studies.
Figure 5

Masked HTN versus white-coat HTN – untreated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality occurred in 10.7% of patients with masked HTN and 8.5% of patients with white-coat HTN. The risk of all-cause mortality was nonsignificantly higher in patients with masked HTN (OR 1.62, 95% CI 1.01–2.60; P=0.05; I2=41%, Figure 5B).

Masked HTN versus SH – untreated patients

Composite cardiovascular events were reported in 11.9% of patients with masked HTN and 16.7% of patients with SH. The risk of cardiovascular events was significantly lower in patients with masked HTN compared with patients with SH (OR 0.68, 95% CI 0.53–0.86; P=0.001; I2=20%, Figure 6A) without significant heterogeneity among studies.
Figure 6

Masked HTN versus sustained HTN – untreated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality occurred in 10.7% of patients with masked HTN and 12.6% of patients with SH. No significant difference was found in the all-cause mortality rates between patients with masked and SH (OR 0.88, 95% CI 0.33–2.37; P=0.80; I2=89%, Figure 6B).

Patients on treatment

Masked HTN versus normotension – treated patients

Composite cardiovascular events were found in 27.9% of patients with masked HTN and 15.5% of patients with normotension with significantly higher rates of cardiovascular events in patients with masked HTN (OR 2.03, 95% CI 1.52–2.72; P<0.00001; I2=0%, Figure 7A). No significant heterogeneity was observed between the studies.
Figure 7

Masked HTN versus normotension – treated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality occurred in 15.2% of patients with masked HTN and 10.4% of patients with normotension. The risk of all-cause mortality was significantly higher in patients with masked HTN (OR 1.44, 95% CI 1.03–2.01; P=0.03; I2=0%, Figure 7B) without significant heterogeneity among studies.

Masked HTN versus white-coat HTN – treated patients

Composite cardiovascular events were reported in 27.9% of patients with masked HTN and 19.4% of patients with white-coat HTN with significantly higher risk of cardiovascular events in patients with masked HTN (OR 1.64, 95% CI 1.20–2.25; P=0.002; I2=0%, Figure 8A). No significant heterogeneity was found between the studies.
Figure 8

Masked HTN versus white-coat HTN – treated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause mortality occurred in 21.0% of patients with masked HTN and 17.3% of patients with white-coat HTN. No significant difference was found in the rates of all-cause mortality between the patients with masked and white-coat HTN (OR 1.03, 95% CI 0.55–1.90; P=0.94; I2=39%, Figure 8B).

Masked HTN versus SH – treated patients

We did not find significant differences in the risk of cardiovascular events between patients with masked and SH (OR 1.08, 95% CI 0.71–1.65; P=0.72; I2=45%, Figure 9A) with significant heterogeneity among studies.
Figure 9

Masked HTN versus sustained HTN – treated.

Notes: (A) Composite cardiovascular events. (B) All-cause mortality.

Abbreviations: CI, confidence interval; HTN, hypertension; M–H, Mantel–Haenszel.

All-cause death occurred in 21.0% of patients with masked HTN and 17.1% of patients with SH without significant differences in the risk of all-cause mortality between the patients with masked and SH (OR 0.92, 95% CI 0.26–3.22; P=0.90; I2=85%, Figure 9B). Significant heterogeneity was observed between studies.

Assessment of risk of bias

Cochrane’s risk of bias tool suggested low-to-moderate risk of bias in all studies. Assessment of individual components of Cochrane’s risk of bias tool in all trials showed low risk of bias in case of sequence generation, blinding of outcome assessment, incomplete outcome data, and selective outcome reporting.

Discussion

The salient findings of our meta-analysis can be summarized as follows: 1) the composite cardiovascular events and all-cause mortality were significantly higher in patients with masked HTN compared with patients with normotension and white-coat HTN; 2) composite cardiovascular events were significantly lower in patients with masked HTN compared with patients with SH; however, no significant difference was seen in all-cause mortality between the two groups; 3) similar results were observed in the sub-group analysis of patients who are untreated; and 4) in the sub-group of patients who received antihypertensive treatment, no significant difference was observed in composite cardiovascular events and all-cause mortality between the patients with masked and SH. Among treated patients, masked HTN was associated with higher rates of cardiovascular events compared with normotension and white-coat HTN. Early identification and diagnosis of masked HTN with 24-hour ambulatory BP measurements (ABPM) and home BP measurements (HBPM) are important. Although HMBP lacks night-time measurement and may misclassify some masked HTN patients as normotensives, ABPM may have limited tolerability, affordability, and availability particularly in the US. Despite the limited sensitivity and specificity of HBPM in diagnosis of masked HTN,8 there is available evidence from the Finn-Home study that HBPM is superior to office BP in predicting cardiovascular risk and that HBPM should be used to screen for masked HTN in prehypertensive patients according to office BP.9 Therefore, a diagnosis of masked HTN can be based on HBPM and should be confirmed by ABPM before initiation of antihypertensive therapy. Population cohort studies have suggested that among patients with masked HTN, one-third progresses to SH and one-third regresses to normotension in 5 years.10 Delayed diagnosis of masked HTN is related to high prevalence of hypertensive target organ damage in both treated and untreated patients with masked HTN.4 Work- and home-related stress, smoking, age, sedentary lifestyle, and sleep disturbances have been identified as risk factors for masked HTN.11–14 It is suggested that masked HTN can be classified into masked daytime HTN and masked nocturnal HTN.15 Based on findings from the Jackson Heart study in blacks, nocturnal masked HTN is more frequent with the prevalence of 48.2 versus 28.2% prevalence of day-time masked HTN. The International Database of Home Blood Pressure in Relation to Cardiovascular Outcomes (IDHOCO) study demonstrated that masked HTN is more prevalent in treated hypertensive patients than in untreated individuals as anti-hypertensive treatment results in greater disproportional reduction of office BP than ABPM.16,17 Noncompliance with medication, except just prior to office visits and morning peak levels of medications that coincide with office visits, may explain these observations. As emphasized in the International Database on Ambulatory Blood Pressure in Relation to Cardiovascular Outcomes (IDACO) study, antihypertensive treatment leads to a transformational change from SH to masked uncontrolled HTN and finally to sustained normotension. However, the risk of converted normotensives remains higher than that of normotensive individuals.18 Our findings are consistent with prior population-based studies such as the Dallas Heart Study and the Jackson Heart Study, which showed increased incidence of cardiovascular events in patients with masked HTN compared to patients with normotension, suggesting the malignant nature of masked HTN.6,7 Pooled analysis of 12 different populations from IDACO performed by Asayama et al32 showed similar findings. In contrast to the Jackson Heart Study, we found a significant increase in all-cause mortality in patients with masked HTN compared to patients with normotension. However, the Jackson Heart Study had small sample size with predominantly African American population.7 Our findings are consistent with large multiple population-based study performed by Stergiou et al,16 further potentiating the nature of masked HTN. Prior studies showed inconsistent results in cardiovascular outcomes between the patients with masked HTN and white-coat HTN.16,32 We found significant increase in composite cardiovascular events and all-cause mortality in patients with masked HTN compared to patients with white-coat HTN, which is similar to the study reported by Stergiou et al.16 Prevalence of masked HTN was found to be significantly high. Patients with masked HTN were 18% of population sample in the Dallas Heart Study.6 Similar results were seen in the pooled analysis of IDACO performed by Asayama et al.32 The Jackson Heart Study showed even higher prevalence patients with masked HTN.7 Furthermore, >50% of these patient populations were untreated.6,7 The increased incidence of cardiovascular events and mortality in patients with masked HTN compared to patients with white-coat HTN are most likely due to the fact that the significant number of masked HTN patients being untreated. Subgroup analysis of patients treated with antihypertensives showed no significant difference in morality between the patients with masked HTN and white-coat HTN, suggesting that the patients with masked HTN who are successfully treated will have better outcomes. However, the cardiovascular events and mortality continued to be significantly high in patients with masked HTN compared to patients with normotension. Based on current results, treating patients with masked HTN might prevent cardiovascular events and decrease the mortality. The two important issues to be addressed before treating the patients with masked HTN are how to diagnose masked HTN and what should be the target BP. Diagnosis can be made by ambulatory or home BP monitoring both in untreated and treated patients.33 However, identifying the patients to be screened is a more difficult task in untreated patients with masked HTN compared to treated patients with masked uncontrolled HTN. The main obstacle is diagnosing masked HTN in untreated population with normal office BP. ABPM and HBPM should have a complimentary role in the diagnosis and management of masked HTN. Patients with pre-HTN according to office BP, at high risk (diabetes, obstructive sleep apnea, and smoking), or evidence of target organ damage (chronic kidney disease and left ventricular hypertrophy) and normal office BP should be screened with HBPM.33–35 Nighttime and daytime BP recordings with ABPM may better define cardiovascular risk and guide treatment, as it prevents incomplete treatment of uncontrolled masked HTN. Treating patients with masked HTN showed significant reductions in systolic BP; however, no significant difference was seen in end organ effects such as left ventricular mass index.36 Furthermore, there are no studies addressing the effect of treating masked HTN on clinic outcomes. Aggressive risk factors’ modification such as obesity, diabetes, and sleep apnea would be an important step in preventing the adverse effects associated with masked HTN.33 Although HBPM rather than office BP measurements are more effective in guiding adjustments of antihypertensive medications to goal daytime BP, ~25% of patients will be undertreated with this strategy due to the persistence of nocturnal HTN. Therefore, after reaching the daytime BP goal with HBPM, ABPM can establish whether escalation of antihypertensive treatment is required for the treatment of masked uncontrolled nocturnal HTN.

Limitations

There are some limitations to the interpretation of our data analysis. First, publication bias may still exist despite our best efforts to conduct a comprehensive search and despite the lack of statistical evidence for the existence of bias. Second, any meta-analysis based on the pooling of data from different cohorts with different inclusion criteria, different designs and populations, variable follow-up duration with differing attrition rates, and not being unified in definition and validation of endpoints in individual trials presents challenges. Moreover, our main endpoint, CVD events, was defined differently in most of the studies. Finally, the fact that some studies used ABPM and others used HBPM to define masked HTN may also increase the heterogeneity and affect the validity of the study. The findings of our meta-analysis are in accordance with the findings of previous meta-analyses.37,38 Compared with previous works, our study is more comprehensive as it included slightly higher number of studies and analyzed not only cardiovascular events but also all-cause mortality as endpoints.

Conclusion

In this large meta-analysis of 14729 patients, the cardiovascular morbidity and mortality associated with masked HTN is higher than normotension and white-coat HTN but significantly lower than SH. Among treated patients, masked HTN and SH were associated with similar rates of cardiovascular events and mortality. Future studies should focus on the benefit of early screening and identification of patients with masked HTN and also evaluate BP treatment goals for these patients based on HBPM and ABPM.
  37 in total

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Journal:  Clin J Am Soc Nephrol       Date:  2016-02-18       Impact factor: 8.237

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Journal:  Am J Hypertens       Date:  2013-02-14       Impact factor: 2.689

6.  Prognosis of "masked" hypertension and "white-coat" hypertension detected by 24-h ambulatory blood pressure monitoring 10-year follow-up from the Ohasama study.

Authors:  Takayoshi Ohkubo; Masahiro Kikuya; Hirohito Metoki; Kei Asayama; Taku Obara; Junichiro Hashimoto; Kazuhito Totsune; Haruhisa Hoshi; Hiroshi Satoh; Yutaka Imai
Journal:  J Am Coll Cardiol       Date:  2005-08-02       Impact factor: 24.094

7.  Predictive factors for masked hypertension within a population of controlled hypertensives.

Authors:  Jean-Michel Mallion; Pierre Clerson; Guillaume Bobrie; Nathalie Genes; Bernard Vaisse; Gilles Chatellier
Journal:  J Hypertens       Date:  2006-12       Impact factor: 4.844

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Authors:  Katharina Wolf-Maier; Richard S Cooper; Holly Kramer; José R Banegas; Simona Giampaoli; Michel R Joffres; Neil Poulter; Paola Primatesta; Birgitta Stegmayr; Michael Thamm
Journal:  Hypertension       Date:  2003-11-24       Impact factor: 10.190

9.  Target Organ Complications and Cardiovascular Events Associated With Masked Hypertension and White-Coat Hypertension: Analysis From the Dallas Heart Study.

Authors:  Danielle Tientcheu; Colby Ayers; Sandeep R Das; Darren K McGuire; James A de Lemos; Amit Khera; Norman Kaplan; Ronald Victor; Wanpen Vongpatanasin
Journal:  J Am Coll Cardiol       Date:  2015-11-17       Impact factor: 24.094

10.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01
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  16 in total

1.  The Hypertensive Adolescent.

Authors:  Joseph T Flynn
Journal:  Clin J Am Soc Nephrol       Date:  2019-04-24       Impact factor: 8.237

2.  Prognostic Value of Masked Uncontrolled Hypertension.

Authors:  Sante D Pierdomenico; Anna M Pierdomenico; Francesca Coccina; Denis L Clement; Marc L De Buyzere; Dirk A De Bacquer; Iddo Z Ben-Dov; Wanpen Vongpatanasin; José R Banegas; Luis M Ruilope; Lutgarde Thijs; Jan A Staessen
Journal:  Hypertension       Date:  2018-10       Impact factor: 10.190

Review 3.  Blood Pressure Assessment in Adults in Clinical Practice and Clinic-Based Research: JACC Scientific Expert Panel.

Authors:  Paul Muntner; Paula T Einhorn; William C Cushman; Paul K Whelton; Natalie A Bello; Paul E Drawz; Beverly B Green; Daniel W Jones; Stephen P Juraschek; Karen L Margolis; Edgar R Miller; Ann Marie Navar; Yechiam Ostchega; Michael K Rakotz; Bernard Rosner; Joseph E Schwartz; Daichi Shimbo; George S Stergiou; Raymond R Townsend; Jeff D Williamson; Jackson T Wright; Lawrence J Appel
Journal:  J Am Coll Cardiol       Date:  2019-01-29       Impact factor: 24.094

Review 4.  Prevention and Control of Hypertension: JACC Health Promotion Series.

Authors:  Robert M Carey; Paul Muntner; Hayden B Bosworth; Paul K Whelton
Journal:  J Am Coll Cardiol       Date:  2018-09-11       Impact factor: 24.094

5.  Paradoxical increase in ambulatory SBP in coarctation of aorta a compared to essential hypertension.

Authors:  Alexander C Egbe; William R Miranda; Likhita Shaik; Renuka Reddy Katta; Ahmed Goda Sakr; Janaki Devara; Heidi M Connolly
Journal:  Blood Press Monit       Date:  2022-04-01       Impact factor: 1.444

6.  Identifying a metabolomics profile associated with masked hypertension in two independent cohorts: Data from the African-PREDICT and SABPA studies.

Authors:  Michél Strauss-Kruger; Ruan Kruger; Esmé Jansen Van Vuren; Adriaan Jacobs; Roan Louw; Carina Mels
Journal:  Hypertens Res       Date:  2022-09-02       Impact factor: 5.528

7.  Ambulatory blood pressure monitoring and management of hypertension at a cardiac clinic in Kumasi Metropolis, Ghana.

Authors:  Ntani Suh Nsutebu; Isaac Kofi Owusu; Kwame Ohene Buabeng; Kwadwo Osei Bonsu
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-12       Impact factor: 3.738

8.  Expert panel consensus recommendations for ambulatory blood pressure monitoring in Asia: The HOPE Asia Network.

Authors:  Kazuomi Kario; Jinho Shin; Chen-Huan Chen; Peera Buranakitjaroen; Yook-Chin Chia; Romeo Divinagracia; Jennifer Nailes; Satoshi Hoshide; Saulat Siddique; Jorge Sison; Arieska Ann Soenarta; Guru Prasad Sogunuru; Jam Chin Tay; Boon Wee Teo; Yuda Turana; Yuqing Zhang; Sungha Park; Huynh Van Minh; Ji-Guang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-09       Impact factor: 3.738

Review 9.  White coat syndrome and its variations: differences and clinical impact.

Authors:  Mariana R Pioli; Alessandra Mv Ritter; Ana Paula de Faria; Rodrigo Modolo
Journal:  Integr Blood Press Control       Date:  2018-11-08

10.  Predicting Out-of-Office Blood Pressure in a Diverse US Population.

Authors:  Brandon K Bellows; Jingyu Xu; James P Sheppard; Joseph E Schwartz; Daichi Shimbo; Paul Muntner; Richard J McManus; Andrew E Moran; Kelsey B Bryant; Laura P Cohen; Adam P Bress; Jordan B King; James M Shikany; Beverly B Green; Yuichiro Yano; Donald Clark; Yiyi Zhang
Journal:  Am J Hypertens       Date:  2022-06-16       Impact factor: 3.080

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