Masked and white coat hypertension, the double trouble of large arteries: A systematic review and meta-analysis.
Ontology highlight
ABSTRACT:
SUBMITTER: Antza C
PROVIDER: S-EPMC8029862 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Data on masked hypertension (MH) and white-coat hypertension (WCH) in African populations are needed to estimate the true prevalence of hypertension in these populations because they have the highest burden of the disease. We conducted the first systematic review and meta-analysis that summarized available data on the prevalence of WCH and MH in Africa. We searched PubMed and Scopus to identify all the articles published on MH and WCH in populations living in Africa from inception to November 30, 2017. We reviewed each study for methodological quality. A random-effects model was used to estimate the prevalence of WCH and MH across studies. Eleven studies were included, all having a low-risk of bias. The prevalence of masked hypertension was 11% (95% CI: 4.7-19.3; 10 studies) in a pooled sample of 7789 individuals. The prevalence of WCH was 14.8% (95% CI: 9.4-21.1; 8 studies) in a pooled sample of 4451 individuals. There was no difference on the prevalence of WCH and MH between studies in which participants were recruited from the community and the hospital. The prevalence of MH was higher in urban areas compared to rural ones; there was no difference for WCH. WHC and MH seem to be frequent in African populations, suggesting the importance of out-of-clinic BP measurement in the diagnosis and management of patients with hypertension in Africa, especially in urban areas for MH.
| S-EPMC8031123 | biostudies-literature
Project description:ObjectiveWe investigated factors associated with masked and white-coat hypertension in a Swiss population-based sample.MethodsThe Swiss Kidney Project on Genes in Hypertension is a family-based cross-sectional study. Office and 24-hour ambulatory blood pressure were measured using validated devices. Masked hypertension was defined as office blood pressure<140/90 mmHg and daytime ambulatory blood pressure?135/85 mmHg. White-coat hypertension was defined as office blood pressure?140/90 mmHg and daytime ambulatory blood pressure<135/85 mmHg. Mixed-effect logistic regression was used to examine the relationship of masked and white-coat hypertension with associated factors, while taking familial correlations into account. High-normal office blood pressure was defined as systolic/diastolic blood pressure within the 130-139/85-89 mmHg range.ResultsAmong the 652 participants included in this analysis, 51% were female. Mean age (±SD) was 48 (±18) years. The proportion of participants with masked and white coat hypertension was respectively 15.8% and 2.6%. Masked hypertension was associated with age (odds ratio (OR)?=?1.02, p?=?0.012), high-normal office blood pressure (OR?=?6.68, p<0.001), and obesity (OR?=?3.63, p?=?0.001). White-coat hypertension was significantly associated with age (OR?=?1.07, p<0.001) but not with education, family history of hypertension, or physical activity.ConclusionsOur findings suggest that physicians should consider ambulatory blood pressure monitoring for older individuals with high-normal office blood pressure and/or who are obese.
| S-EPMC3963885 | biostudies-literature
Project description:Background:The long-term cardiovascular risk of isolated elevated office blood pressure (BP) is unclear. Purpose:To summarize the risk for cardiovascular events and all-cause mortality associated with untreated white coat hypertension (WCH) and treated white coat effect (WCE). Data Sources:PubMed and EMBASE, without language restriction, from inception to December 2018. Study Selection:Observational studies with at least 3 years of follow-up evaluating the cardiovascular risk of WCH or WCE compared with normotension. Data Extraction:2 investigators independently extracted study data and assessed study quality. Data Synthesis:27 studies were included, comprising 25 786 participants with untreated WCH or treated WCE and 38 487 with normal BP followed for a mean of 3 to 19 years. Compared with normotension, untreated WCH was associated with an increased risk for cardiovascular events (hazard ratio [HR], 1.36 [95% CI, 1.03 to 2.00]), all-cause mortality (HR, 1.33 [CI, 1.07 to 1.67]), and cardiovascular mortality (HR, 2.09 [CI, 1.23 to 4.48]); the risk for WCH was attenuated in studies that included stroke in the definition of cardiovascular events (HR, 1.26 [CI, 1.00 to 1.54]). No significant association was found between treated WCE and cardiovascular events (HR, 1.12 [CI, 0.91 to 1.39]), all-cause mortality (HR, 1.11 [CI, 0.89 to 1.46]), or cardiovascular mortality (HR, 1.04 [CI, 0.65 to 1.66]). The findings persisted across several sensitivity analyses. Limitation:Paucity of studies evaluating isolated cardiac outcomes or reporting participant race/ethnicity. Conclusion:Untreated WCH, but not treated WCE, is associated with an increased risk for cardiovascular events and all-cause mortality. Out-of-office BP monitoring is critical in the diagnosis and management of hypertension. Primary Funding Source:National Institutes of Health.
| S-EPMC6736754 | biostudies-literature
Project description:Abstract Aims The detection of white-coat hypertension/white-coat uncontrolled hypertension (WCH/WUCH) with out-of-office blood pressure (BP) monitoring is time- and resource-consuming. We aim to develop a machine learning (ML)-derived prediction model based on the characteristics of patients from a single outpatient visit. Methods and results Data from two cohorts in Taiwan were used. Cohort one (970 patients) was used for development and internal validation, and cohort two (464 patients) was used for external validation. WCH/WUCH was defined as an office BP of ≥140/90 mmHg and daytime ambulatory BP of <135/85 mmHg in treatment-naïve or treated individuals. Logistic regression, random forest (RF), eXtreme Gradient Boosting, and artificial neural network models were trained using 26 patient parameters. We used SHapley Additive exPlanations values to provide explanations for the risk factors. All models achieved great area under the receiver operating characteristic curve (AUROC), specificity, and negative predictive value in both validations (AUROC = 0.754–0.891; specificity = 0.682–0.910; negative predictive value = 0.831–0.968). The RF model was the best performing (AUROC = 0.884; sensitivity = 0.619; specificity = 0.887; negative predictive value = 0.872; accuracy = 0.819). The five most influential features of the RF model were office diastolic BP, office systolic BP, current smoker, estimated glomerular filtration rate, and fasting glucose level. Conclusion Our prediction models achieved good performance, underlining the feasibility of applying ML models to outpatient populations for the diagnosis of WCH and WUCH. Further validation with other prospective data sets should be considered in the future. Graphical Abstract Graphical Abstract Two cohorts were used for model development after splitting and external validation respectively. With oversampled training set, four algorithms were developed through the process of feature ranking with SHapley Additive exPlantions values, feature selection, and threshold tuning under five-fold cross-validation. Models were then evaluated by variant metrics. Present study demonstrated the feasibility of applying machine learning models to outpatient population for the identify of white-coat hypertension and white-coat uncontrolled hypertension. ANN, artificial neural network; AUROC, area under the receiver operating characteristic curve; DBP, diastolic blood pressure; LR, logistic regression; NPV, negative predictive value; PPV, positive predictive value; RF, random forest; ROC, receiver operating characteristic; SBP, systolic blood pressure; Sen, sensitivity; SHAP, SHapley Additive exPlanations; Spe, specificity; WCH/WUCH, white-coat hypertension/white-coat uncontrolled hypertension; XGboost, eXtreme Gradient Boosting.
| S-EPMC9779877 | biostudies-literature
Project description:Multiple epidemiological studies from Europe and Asia have demonstrated increased cardiovascular risks associated with isolated elevation of home blood pressure (BP) or masked hypertension (MH). Previous studies have not addressed cardiovascular outcomes associated with MH and white-coat hypertension (WCH) in the general population in the United States.The goal of this study was to determine hypertensive target organ damage and adverse cardiovascular outcomes associated with WCH (high clinic BP, ?140/90 mm Hg; normal home BP, <135/85 mm Hg), MH (high home BP, ?135/85 mm Hg; normal clinic BP, <140/90 mm Hg), and sustained hypertension (high home and clinic BP) in the DHS (Dallas Heart Study), a large, multiethnic, probability-based population cohort.Associations among WCH, MH, sustained hypertension, and aortic pulsed wave velocity by magnetic resonance imaging; urinary albumin-to-creatinine ratio; and cystatin C were evaluated at study baseline. Then, associations between WCH and MH with incident cardiovascular outcomes (coronary heart disease, stroke, atrial fibrillation, heart failure, and cardiovascular death) over a median follow-up period of 9 years were assessed.The study cohort comprised 3,027 subjects (50% African Americans). The sample-weighted prevalence rates of WCH and MH were 3.3% and 17.8%, respectively. Both WCH and MH were independently associated with increased aortic pulsed wave velocity, cystatin C, and urinary albumin-to-creatinine ratio. Both WCH (adjusted hazard ratio: 2.09; 95% confidence interval: 1.05 to 4.15) and MH (adjusted hazard ratio: 2.03; 95% confidence interval: 1.36 to 3.03) were independently associated with higher cardiovascular events compared with the normotensive group, even after adjustment for traditional cardiovascular risk factors.In a multiethnic U.S. population, both WCH and MH were independently associated with increased aortic stiffness, renal injury, and incident cardiovascular events. Because MH is common and associated with an adverse cardiovascular profile, home BP monitoring should be routinely performed among U.S. adults.
| S-EPMC4644495 | biostudies-literature
Project description:Our study evaluated whether there were differences in the prevalence of white-coat hypertension (WH) and masked hypertension (MH) based on the 2018 ESC/ESH and 2017 ACC/AHA hypertension guidelines in Korea. The motivation was the lowering of the diagnostic threshold for hypertension in the 2017 ACC/AHA guidelines. Of 319 participants without antihypertensive drug history and with suspected hypertension based on outpatient clinic blood pressure (BP) measured by physicians, 263 participants (51.6 ± 9.6 years; 125 men) who had valid research-grade office BP and 24-h ambulatory BP measurements were enrolled. WH prevalence based on daytime ambulatory BP among normotensive individuals was lower with the ESC/ESH guidelines than the ACC/AHA guidelines (29.0% vs. 71.4%, p < 0.001). However, MH prevalence based on daytime ambulatory BP among hypertensive individuals was higher based on the ESC/ESH guidelines (21.6% vs. 1.8%, p < 0.001). Seventy percent of WH cases (2017 ACC/AHA guidelines) and 95.2% of MH cases (2018 ESC/ESH guidelines) occurred in individuals with systolic BP of 130-139 mmHg and/or diastolic BP of 80-89 mmHg. The diagnostic threshold of the 2017 ACC/AHA guidelines yielded a higher prevalence of WH compared to that of the 2018 ESC/ESH guidelines. However, the prevalence of MH was higher with the 2018 ESC/ESH guidelines than with the 2017 ACC/AHA guidelines. The high prevalence of WH and MH in people with a systolic BP of 130-139 mmHg or diastolic BP of 80-89 mmHg suggests the need for a more active out-of-office BP measurement in this patient group.
| S-EPMC7348809 | biostudies-literature
Project description:A large and growing body of literature has focused on the association between "white coat hypertension" (WCH) and the underlying target organ damage. The evidence suggests that WCH is may not an entirely benign phenomenon. However, whether patients with WCH should receive antihypertensive drugs is unresolved. Therefore, we performed a meta-analysis to fully determine the ability of WCH to alter cardiovascular structure and to determine whether patients with WCH could benefit from drug intervention. Medline, EMBASE, and the Cochrane Library were searched from inception through 21 Oct 2019. A total of 25 studies (8,100 individuals) were included. In participants with WCH, values of aortic pulse wave velocity, augmentation index, intima-media thickness, interventricular septum thickness, left ventricular posterior wall thickness, and left ventricular mass index were lower than those with sustained hypertension, but greater than those in the normotensive group. Of note, antihypertensive drug therapy did not reduce the risk of cardiovascular events in patients with WCH. WCH is accompanied by alterations of cardiovascular structure; however, the benefits from antihypertensive therapy are limited.
| S-EPMC7527598 | biostudies-literature
Project description:Guidelines recommend using out-of-office blood pressure (BP) measurements to confirm the diagnoses of hypertension and in the titration of antihypertensive medication. The prevalence of out-of-office BP phenotypes for an office systolic/diastolic BP goal <140/90 mm Hg has been reported. However, the prevalence of these phenotypes when targeting an office systolic/diastolic BP goal <120/80 is unknown. The SPRINT (Systolic Blood Pressure Intervention Trial) Ambulatory BP Ancillary study evaluated out-of-office BP using ambulatory BP monitoring in 897 participants 27 months after randomization to intensive versus standard BP targets (office systolic BP <120 versus <140 mm Hg). We used office and daytime BP to assess the proportion of participants with white-coat effect (standard target: office BP ≥140/90 mm Hg and daytime BP <135/85 mm Hg versus intensive target: office BP ≥120/80 mm Hg and daytime BP <120/80 mm Hg) and masked uncontrolled hypertension (standard target: office BP <140/90 mm Hg and daytime BP ≥135/85 mm Hg versus intensive target: office BP <120/80 mm Hg and daytime BP ≥120/80 mm Hg) in each treatment arm. The prevalence of white-coat effect and masked uncontrolled hypertension was 9% and 34%, in both treatment groups. Among participants with uncontrolled office BP, white-coat effect was present in 20% and 23% in the intensive and standard groups, respectively. Among participants with controlled office BP, masked uncontrolled hypertension was present in 62% and 56% in the intensive and standard groups, respectively. In conclusion, a more intensive BP target resulted in a similar proportion of patients with white-coat effect and masked uncontrolled hypertension compared with a standard target.
| S-EPMC7484232 | biostudies-literature
Project description:Outcome-driven recommendations about time intervals during which ambulatory blood pressure should be measured to diagnose white-coat or masked hypertension are lacking. We cross-classified 8237 untreated participants (mean age, 50.7 years; 48.4% women) enrolled in 12 population studies, using ?140/?90, ?130/?80, ?135/?85, and ?120/?70 mm Hg as hypertension thresholds for conventional, 24-hour, daytime, and nighttime blood pressure. White-coat hypertension was hypertension on conventional measurement with ambulatory normotension, the opposite condition being masked hypertension. Intervals used for classification of participants were daytime, nighttime, and 24 hours, first considered separately, and next combined as 24 hours plus daytime or plus nighttime, or plus both. Depending on time intervals chosen, white-coat and masked hypertension frequencies ranged from 6.3% to 12.5% and from 9.7% to 19.6%, respectively. During 91 046 person-years, 729 participants experienced a cardiovascular event. In multivariable analyses with normotension during all intervals of the day as reference, hazard ratios associated with white-coat hypertension progressively weakened considering daytime only (1.38; P=0.033), nighttime only (1.43; P=0.0074), 24 hours only (1.21; P=0.20), 24 hours plus daytime (1.24; P=0.18), 24 hours plus nighttime (1.15; P=0.39), and 24 hours plus daytime and nighttime (1.16; P=0.41). The hazard ratios comparing masked hypertension with normotension were all significant (P<0.0001), ranging from 1.76 to 2.03. In conclusion, identification of truly low-risk white-coat hypertension requires setting thresholds simultaneously to 24 hours, daytime, and nighttime blood pressure. Although any time interval suffices to diagnose masked hypertension, as proposed in current guidelines, full 24-hour recordings remain standard in clinical practice.
| S-EPMC4420482 | biostudies-literature
Project description:Objective: This study aimed to develop machine learning-based prediction models to predict masked hypertension and masked uncontrolled hypertension using the clinical characteristics of patients at a single outpatient visit. Methods: Data were derived from two cohorts in Taiwan. The first cohort included 970 hypertensive patients recruited from six medical centers between 2004 and 2005, which were split into a training set (n = 679), a validation set (n = 146), and a test set (n = 145) for model development and internal validation. The second cohort included 416 hypertensive patients recruited from a single medical center between 2012 and 2020, which was used for external validation. We used 33 clinical characteristics as candidate variables to develop models based on logistic regression (LR), random forest (RF), eXtreme Gradient Boosting (XGboost), and artificial neural network (ANN). Results: The four models featured high sensitivity and high negative predictive value (NPV) in internal validation (sensitivity = 0.914-1.000; NPV = 0.853-1.000) and external validation (sensitivity = 0.950-1.000; NPV = 0.875-1.000). The RF, XGboost, and ANN models showed much higher area under the receiver operating characteristic curve (AUC) (0.799-0.851 in internal validation, 0.672-0.837 in external validation) than the LR model. Among the models, the RF model, composed of 6 predictor variables, had the best overall performance in both internal and external validation (AUC = 0.851 and 0.837; sensitivity = 1.000 and 1.000; specificity = 0.609 and 0.580; NPV = 1.000 and 1.000; accuracy = 0.766 and 0.721, respectively). Conclusion: An effective machine learning-based predictive model that requires data from a single clinic visit may help to identify masked hypertension and masked uncontrolled hypertension.
| S-EPMC8639874 | biostudies-literature