MetS Blood Pressure Research Articles

P070 ROLE OF NOVEL BLOOD PRESSURE METRICS IN EARLY BLOOD PRESSURE CONTROL ASSESSMENT: INSIGHTS FROM THE SPRINT TRIAL

Objective: Innovative blood pressure (BP) metrics is pivotal to expedite the BP management among individuals with hypertension. Methods and Findings: This is a post-hoc analysis of the SPRINT (Systolic Blood Pressure Intervention Trial). A total of 8369 participants, who had comprehensive BP records and experienced no adverse events during the initial 90-day follow-up, were included. Two novel BP metrics, systolic blood pressure (SBP) burden and Time-in-Target-Range (TTR), were calculated by employing three-month SBP recordings from follow-up data. SBP Burden were derived as the proportion of area under curve (AUC) over a specific SBP threshold (SBP values >130 mmHg) in a short-term exposure period (from the first month to third month). SBP TTR was estimated by the proportion of time in a specified SBP target range (110 to 140mmHg) in the same exposure period. Major adverse cardiovascular events (MACE), as the primary outcome of this analysis, was a composite endpoint including myocardial infarction, stroke, heart failure, and cardiovascular death. Secondary outcomes included individual components of the primary outcome, as well as all-cause mortality. The relationship of novel BP metrics and study endpoints was accessed by using adjusted Cox proportional hazards regression models. Over a median follow-up period of 3.90 [3.88-3.94] years, 559 MACEs occurred. Both SBP burden (Hazard Ratio [HR]: 1.126 [1.039-1.221]) and SBP TTR (HR: 0.862[0.783-0.949]) were independently correlated with MACEs according to adjusted Cox models. Evaluation using C-statistic and Net Reclassification Indexes (NRI) revealed that both two novel SBP metrics outperformed mean SBP and SBP standard deviation (SD) in predicting MACEs. Furthermore, the predictive value of SBP burden and TTR was consistent across MACE(P=0.383) and secondary endpoints (all P value > 0.05) in this analysis. Conclusions: Among non-diabetic patients with hypertension, both the cumulative SBP burden and TTR independently predict MACEs, surpassing the predictive power of mean SBP and SBP SD. This study substantiates the application of innovative BP measurements for early-stage assessment of BP control.

Abstract P406: Transforming Clinical Practices for Blood Pressure Management in Community Health Centers through Timely Data and Technical Support

Introduction: Blood pressure (BP) control can prevent major adverse cardiac events and is monitored through various means, including the Centers for Medicare and Medicaid Services 165 metric for BP control - an annual reporting metric for community health centers (CHCs) within the Uniform Data System framework that becomes accessible 6 months after the conclusion of the reporting period. In pursuit of more immediate indicators related to BP management, the National Hypertension Control Initiative (NHCI) initiated collaboration with a population health platform to support select CHCs with rapidly available data on 19 BP-related metrics. Hypothesis: With technical support and regular access to data, CHCs can implement timely clinical practice and process changes. Methods: To support CHCs in using the population health platform, NHCI staff provided technical assistance in a rapid cycle performance improvement (RCPI) to 10 interested CHCs. This opportunity allowed CHCs to partner with NHCI staff to review BP related metrics in the population health platform and to identify opportunities for clinical process and practice changes. Over an 8-week period from October to December 2023, 7 CHCs were actively involved in a series of 5-6 structured 30–60-minute meetings with both NHCI registered nurse and quality improvement staff. These meetings reviewed BP metrics, mapped clinical workflows for improvement, and supported data analytics. CHCs often chose 1-2 BP metrics for focus, concentrating on incremental change and short-term improvement. Results: Among participating CHCs that reported, they revealed successful or anticipated adjustments in team responsibilities and clinical processes, including leadership involvement and new methods. Limitations included CHC staff engagement, time, concerns with data reliability, and familiarity with the population health platform. Most reporting CHCs shared that their goals were greatly impacted by access to readily available performance data and that they plan to continue using the population health platform to affect performance moving forward. Conclusions: For participating CHCs, individualized guidance based on timely data may have been helpful in analyzing workflows and procedures, assessing clinical care practices, and implementing quality improvement plans. Frequent data may allow CHCs to make clinical practice and process changes to efficiently measure impact and more quickly improve BP control than standard methods.

What are the ideal metrics for assessing the quality of long-term stabilized "perfect" 24-h BP control after renal denervation?

A significant number of individuals being treated for hypertension still have uncontrolled blood pressure (BP). In Japan, renal denervation (RDN) is being introduced into clinical practice as an adjunctive treatment for hypertension that is uncontrolled despite adequate lifestyle changes and maximal antihypertensive drug therapy. The pivotal SPYRAL ON-MED trial showed that there was a significant reduction in trough office and nighttime ambulatory BP values in the RDN group compared with sham control group, although 24-h and daytime BP values were not significantly different between the two groups. The trough office BP measurement (taken before morning antihypertensive dosing) is similar to guideline recommendations for taking morning home BP before taking the morning antihypertensive drug dose. Recent guidelines recommend the measurement of nighttime BP because nighttime BP is a stronger predictor of cardiovascular event risk than daytime BP. It is particularly important to assess nighttime BP in medicated individuals with hypertension because the up- or down-titration of antihypertensive drug dosing is primarily based on office and daytime BPs in clinical practice. This means that there may be significant risk relating to nocturnal hypertension during longer follow-up. Because RDN results in persistent, "always-on" 24-h BP-lowering effects, the best BP metrics to assess the potential benefit of RDN are nighttime BP (determined using home or ambulatory BP monitoring) and morning BP (determined using home BP monitoring or morning trough office BP measurement). The variability of office, home, and ambulatory BP values is another important metric to assess the quality of RDN-related BP lowering.

Abstract 1003: Blood Pressure Metrics In Predicting Successful Thoracic Endovascular Aortic Repair

Blood pressure (BP) is a well-known risk factor for propagation of type B aortic dissections; however, there is limited data on its impact following surgical repair. While metrics such as BP variability have been associated with higher risk of cardiovascular events, such metrics has not been explored post TEVAR where management has largely focused on reducing systolic BP. By pairing unique BP metrics with preoperative aortic geometry, which has been shown to predict post-TEVAR outcomes, we can better understand what BP metrics are most useful. BP data collected in the first 24 hours after TEVAR for a cohort of 31 patients was used to calculate 24 unique BP metrics, including measures of centrality, variability, and stationarity. Preoperative CTA imaging data were used to create surface models for each aorta, which were then used to define aortic geometry as a unique point in the validated shape-size feature space. Logistic regression models with the BP and aortic geometry metrics were created to predict successful TEVAR outcomes using standard feature selection procedures and were validated using cross-validation (CV). Training and cross-validation accuracy were then compared between the models to determine the most generalizable model. A simple model using only preoperative aortic geometry in the two-dimensional shape-size feature space yielded a training accuracy of 77.4% and CV accuracy of 74.8%. An overfit model with all 24 BP metrics calculated from all available BP data (18.1 ± 6.0 BPs, range 5 - 29) had a 100% training accuracy but CV accuracy of 77.6%. Using the coefficients from this overfit model, we selected the most important features to train the next model. This resulted in a model using aortic geometry in addition to two systolic BP stationarity metrics and diastolic BP standard deviation. This model yielded a 96.8% training accuracy and 93.8% CV accuracy. Adding BP metrics creates a novel multi-dimensional aortic geometric-physiologic feature space and improves our ability to predict post-TEVAR outcomes. The BP variables that best contributed to this model were all measures of variability and stationarity, indicating that trends in BP must be evaluated to better identify patients at risk of poor outcomes.

Machine learning using multimodal and autonomic nervous system parameters predicts clinically apparent stroke-associated pneumonia in a development and testing study.

Stroke-associated pneumonia (SAP) is a preventable determinant for poor outcome after stroke. Machine learning (ML) using large-scale clinical data warehouses may be able to predict SAP and identify patients for targeted interventions. The aim of this study was to develop a prediction model for identifying clinically apparent SAP using automated ML. The ML model used clinical and laboratory parameters along with heart rate (HR), heart rate variability (HRV), and blood pressure (BP) values obtained during the first 48h after stroke unit admission. A logistic regression classifier was developed and internally validated with a nested-cross-validation (nCV) approach. For every shuffle, the model was first trained and validated with a fixed threshold for 0.9 sensitivity, then finally tested on the out-of-sample data and benchmarked against a widely validated clinical score (A2DS2). We identified 2390 eligible patients admitted to two-stroke units at Charité between October 2020 and June 2023, of whom 1755 had all parameters available. SAP was diagnosed in 96/1755 (5.5%). Circadian profiles in HR, HRV, and BP metrics during the first 48h after admission exhibited distinct differences between patients with SAP diagnosis vs. those without. CRP, mRS at admission, leukocyte count, high-frequency power in HRV, stroke severity at admission, sex, and diastolic BP were identified as the most informative ML features. We obtained an AUC of 0.91 (CI 0.88-0.95) for the ML model on the out-of-sample data in comparison to an AUC of 0.84 (CI 0.76-0.91) for the previously established A2DS2 score (p < 0.001). The ML model provided a sensitivity of 0.87 (CI 0.75-0.97) with a corresponding specificity of 0.82 (CI 0.78-0.85) which outperformed the A2DS2 score for multiple cutoffs. Automated, data warehouse-based prediction of clinically apparent SAP in the stroke unit setting is feasible, benefits from the inclusion of vital signs, and could be useful for identifying high-risk patients or prophylactic pneumonia management in clinical routine.

Seasonal variation in blood pressure control across US health systems.

We aimed to characterize seasonal variation in US population-based blood pressure (BP) control and BP-related metrics and evaluate the association between outdoor temperature and BP control variation. We queried electronic health records (EHRs) from 26 health systems, representing 21 states, to summarize BP metrics by quarters of 12-month periods from January 2017 to March 2020. Patients with at least one ambulatory visit during the measurement period and a hypertension diagnosis during the first 6 months or prior to the measurement period were included. Changes in BP control, BP improvement, medication intensification, average SBP reduction after medication intensification across quarters and association with outdoor temperature were analyzed using weighted generalized linear models with repeated measures. Among 1 818 041 people with hypertension, the majority were more than 65 years of age (52.2%), female (52.1%), white non-Hispanic (69.8%) and had stage 1/2 hypertension (64.8%). Overall, BP control and process metrics were highest in quarters 2 and 3, and lowest in quarters 1 and 4. Quarter 2 had the highest percentage of improved BP (31.95 ± 0.90%) and average SBP reduction after medication intensification (16 ± 0.23 mmHg). Quarter 3 had the highest percentage of BP controlled (62.25 ± 2.55%) and lowest with medication intensification (9.73 ± 0.60%). Results were largely consistent in adjusted models. Average temperature was associated with BP control metrics in unadjusted models, but associations were attenuated following adjustment. In this large, national, EHR-based study, BP control and BP-related process metrics improved during spring/summer months, but outdoor temperature was not associated with performance following adjustment for potential confounders.

Longer time in blood pressure target range improves cardiovascular outcomes among patients with Type 2 diabetes: A secondary analysis of a randomized clinical trial

AimsTo examine the prognostic value of time in target range (TIR) with adverse outcomes and validate it with common blood pressure (BP) metrics among patients with Type 2 diabetes mellitus. MethodsWe performed a post hoc analysis of the ACCORD (Action to Control Cardiovascular Risk in Diabetes) trial. TIR for each subject was calculated using linear interpolation and an SBP target range of 110 to 130 mmHg. Cox models were used to assess the association of TIR and other BP metrics with the rate of clinical outcomes. ResultsA higher TIR (61.9–100.0 %) was associated with a 46 % reduction in major adverse cardiovascular events (MACE) (hazard ratio [HR]:0.54; 95 % CI: 0.43, 0.67) compared with TIR 0–22.9 %. Results were similar for stroke (0.19; 0.10, 0.36), myocardial infarction (0.67; 0.51, 0.89), heart failure (0.47; 0.33, 0.66), cardiovascular death (0.63; 0.42, 0.93) and all-cause mortality (0.70; 0.54, 0.91). Further analyses suggested a curvilinear association of TIR with MACE, and this association was independent with baseline, final SBP, mean SBP, or visit-to-visit SBP variability. ConclusionsLonger TIR is associated with lower cardiovascular risk and may add value as an outcome measure for hypertension control studies among patients with diabetes.

Peridialytic and intradialytic blood pressure metrics are not valid estimates of 44-h ambulatory blood pressure in patients with intradialytic hypertension

PurposeIn contrast to peridialytic blood pressure (BP), intradialytic and home BP measurements are accurate metrics of ambulatory BP load in hemodialysis patients. This study assessed the agreement of peridialytic, intradialytic, and scheduled interdialytic recordings with 44-h BP in a distinct hemodialysis population, patients with intradialytic hypertension (IDH).MethodsThis study included 45 IDH patients with valid 48-h ABPM and 197 without IDH. With 44-h BP used as reference method, we tested the accuracy of the following BP metrics: Pre- and post-dialysis, mean and median intradialytic, mean intradialytic plus pre/post-dialysis, and scheduled interdialytic BP (out-of-dialysis day: mean of 8:00am/8:00 pm readings).ResultsIn IDH patients, peridialytic and intradialytic BP metrics showed at best moderate correlations, while averaged interdialytic SBP/DBP exhibited strong correlation (r = 0.882/r = 0.855) with 44-h SBP/DBP. Bland–Altman plots showed large between-method-difference for peri- and intradialytic-BP, but only + 0.7 mmHg between-method difference and good 95% limits of agreement for averaged interdialytic SBP. The sensitivity/specificity and κ-statistic for diagnosing 44-h SBP ≥ 130 mmHg were low for pre-dialysis (72.5/40.0%, κ-statistic = 0.074) and post-dialysis (90.0/0.0%, κ-statistic = − 0.110), mean intradialytic (85.0/40.0%, κ-statistic = 0.198), median intradialytic (85.0/60.0%, κ-statistic = 0.333), and intradialytic plus pre/post-dialysis SBP (85.0/20.0%, κ-statistic = 0.043). Averaged interdialytic SBP showed high sensitivity/specificity (97.5/80.0%) and strong agreement (κ-statistic = 0.775). In ROC analyses, scheduled interdialytic SBP/DBP had the highest AUC (0.967/0.951), sensitivity (90.0/88.0%), and specificity (100.0/90.0%).ConclusionIn IDH patients, only averaged scheduled interdialytic but not pre- and post-dialysis, nor intradialytic BP recordings show reasonable agreement with ABPM. Interdialytic BP recordings only could be used for hypertension diagnosis and management in these subjects.

Self-reported fraud victimization and objectively measured blood pressure: Sex differences in post-fraud cardiovascular health.

Over 5 million older Americans are victims of financial exploitation, schemes, and/or scams per year. Such victimization is associated with increased hospitalizations, admittance to skilled nursing facilities, and lower 5-year all-cause mortality survival rates. Despite this, associations with medical comorbidities like elevated blood pressure (BP) have not been examined. We investigated the association of self-reported fraud victimization (presence/absence) with objectively measured BP metrics leveraging cross-sectional and longitudinal data from over 1200 non-demented adults (75% female; age ~81 years) from the Rush Memory and Aging Project. We first examined cross-sectional associations between baseline fraud victimization and BP, then used longitudinal data to test the hypothesis that fraud victimization is associated with increases in BP after incident fraud. During up to 11 years of annual observation, participants were queried for fraud victimization and underwent serial BP measurements to calculate per visit averages of systolic and diastolic BP, mean arterial pressure (MAP), and pulse pressure. Cross-sectional analyses established that fraud victimization at baseline was associated with higher BP values. Next, using longitudinal changepoint analyses, we showed that fraud victimization was associated with elevations in BP among men but not women. Specifically, men who reported incident fraud exhibited increases in all BP metrics post-fraud. Results suggest an important link between fraud victimization and BP, particularly among men. Older men showed significant elevations in BP after incident fraud that, compounded over time, may portend other adverse health outcomes.

PERIDIALYTIC AND INTRADIALYTIC BLOOD PRESSURE MEASUREMENTS ARE NOT VALID ESTIMATES OF 44-HOUR AMBULATORY BLOOD PRESSURE IN PATIENTS WITH INTRADIALYTIC HYPERTENSION

Objective: In contrast to pre- and post-dialysis blood pressure (BP), intradialytic and home BP measurements are accurate metrics of ambulatory BP load in hemodialysis patients. This study assessed the agreement of peridialytic, intradialytic and scheduled interdialytic recordings with 44-h interdialytic BP in a distinct hemodialysis population, patients with intradialytic-hypertension (IDH). Design and method: 45 patients with IDH (defined as: SBP rise greater than or equal to 10 mmHg from pre- to post-dialysis and post-dialysis SBP greater than or equal to 150 mmHg) with valid 48-h ABPM and 197 without IDH were included in this analysis. With 44-h BP used as reference method, we tested the accuracy of the following BP metrics: Pre- and post-dialysis, intradialytic, intradialytic plus pre/post-dialysis readings and scheduled interdialytic BP (out-of-dialysis day: readings at 8:00 am, 8:00 pm or their average). Results: In patients with IDH, peri-dialytic and intradialytic BP metrics showed at best moderate correlations, while averaged-interdialytic-SBP/DBP exhibited strong correlation (r = 0.882/r = 0.855) with 44-h SBP/DBP. Bland-Altman plots showed large between-method difference for peri- and intradialytic BP, but only + 0.7 mmHg between-method difference and good 95% limits-of-agreement for averaged-interdialytic-SBP. The sensitivity/specificity and kappa-statistic for diagnosing 44-h SBP greater than or equal to 130 mmHg were low for pre-dialysis (72.5%/40.0%, kappa-statistic = 0.074) and post-dialysis (90.0%/0.0%, kappa-statistic = -0.110), intradialytic (85.0%/40.0%, kappa-statistic = 0.198) and intradialytic plus pre/post-dialysis SBP (85.0%/20.0%, kappa-statistic = 0.043). Averaged-interdialytic-SBP showed high values of sensitivity/specificity (97.5%/80.0%,) and strong agreement (kappa-statistic = 0.775). In ROC-analyses, the peri- and intradialytic BP metrics showed bad performance with low Area-Under-the-Curve values; scheduled interdialytic SBP/DBP had the largest AUC (0.967/0.951), along with the highest sensitivity(90.0%/88.0%) and specificity(100.0%/90.0%) for detecting elevated 44-h BP. Conclusions: In patients with IDH, averaged-scheduled-interdialytic but not pre- and post-dialysis, nor intradialytic BP recordings show reasonable agreement with ambulatory BP. Interdialytic BP recordings only could be used for hypertension diagnosis and management in these subjects.

Guidance for the Interpretation of Continual Cuffless Blood Pressure Data for the Diagnosis and Management of Hypertension.

Hypertension remains the leading risk factor for death worldwide. Despite its prevalence, success of blood pressure (BP) management efforts remains elusive, and part of the difficulty lies in the tool still used to diagnose, measure, and treat hypertension: the sphygmomanometer introduced by Samuel Siegfried Karl von Basch in 1867. In recent years, there has been an explosion of devices attempting to provide estimates of BP without a cuff, overcoming many limitations of cuff-based BP monitors. Unfortunately, the differences in underlying technologies between traditional BP cuffs and newer cuffless devices, as well as hesitancy of changing a well-implemented standard, still generate understandable skepticism about and reluctance to adopt cuffless BP monitors in clinical practice. This guidance document aims to navigate the scientific and medical communities through the types of cuffless devices and present examples of robust BP data collection which are better representations of a person's true BP. It highlights the differences between data collected by cuffless and traditional cuff-based devices and provides an initial framework of interpretation of the new cuffless datasets using, as an example, a CE-marked continual cuffless BP device (Aktiia BP Monitor, Aktiia, Switzerland). Demonstration of novel BP metrics, which have the potential to change the paradigm of hypertension diagnosis and treatment, are now possible for the first time with cuffless BP monitors that provide continual readings over long periods. Widespread adoption of continual cuffless BP monitors in healthcare will require a collaborative and thoughtful process, acknowledging that the transition from a legacy to a novel medical technology will be slow. Finally, this guidance concludes with a call to action to international scientific and expert associations to include cuffless BP monitors in original scientific research and in future versions of guidelines and standards.

MO088: Peridialytic and Intradialytic Blood Pressure Measurements are Not Valid Estimates of 44-Hour Ambulatory Blood Pressure in Patients With Intradialytic Hypertension

Abstract BACKGROUND AND AIMS In contrast with pre- and post-dialysis blood pressure (BP), intradialytic and home BP measurements are accurate metrics of ambulatory BP load in hemodialysis patients. This study assessed the agreement of peridialytic, intradialytic and scheduled interdialytic recordings with 44-h interdialytic BP in a distinct hemodialysis population, patients with intradialytic-hypertension (IDH). METHOD 45 patients with IDH (defined as: SBP rise ≥ 10 mmHg from pre- to post-dialysis and post-dialysis SBP ≥ 150 mmHg) with valid 48-h ABPM and 197 without IDH were included in this analysis. With 44-h BP used as reference method, we tested the accuracy of the following BP metrics: Pre- and post-dialysis, intradialytic, intradialytic plus pre/post-dialysis readings and scheduled interdialytic BP (out-of-dialysis day: readings at 8:00 am, 8:00 pm or their average). RESULTS In patients with IDH, peri-dialytic and intradialytic BP metrics showed at best moderate correlations, while averaged-interdialytic-SBP/DBP exhibited strong correlation (r = 0.882/r = 0.855) with 44-h SBP/DBP. Bland-Altman plots showed large between-method difference for peri- and intradialytic BP, but only + 0.7 mmHg between-method difference and good 95% limits-of-agreement for averaged-interdialytic-SBP. The sensitivity/specificity and κ-statistic for diagnosing 44-h SBP ≥ 130 mmHg were low for pre-dialysis (72.5%/40.0%, κ-statistic = 0.074) and post-dialysis (90.0%/0.0%, κ-statistic = −0.110), intradialytic (85.0%/40.0%, κ-statistic = 0.198) and intradialytic plus pre/post-dialysis SBP (85.0%/20.0%, κ-statistic = 0.043). Averaged-interdialytic-SBP showed high values of sensitivity/specificity (97.5%/80.0%) and strong agreement (κ-statistic = 0.775). In ROC-analyses, the peri- and intradialytic BP metrics showed bad performance with low Area-Under-the-Curve values; scheduled interdialytic SBP/DBP had the largest AUC (0.967/0.951), along with the highest sensitivity(90.0%/88.0%) and specificity(100.0%/90.0%) for detecting elevated 44-h BP. CONCLUSION In patients with IDH, averaged-scheduled-interdialytic but not pre- and post-dialysis, nor intradialytic BP recordings show reasonable agreement with ambulatory BP. Interdialytic BP recordings only could be used for hypertension diagnosis and management in these subjects.

Residential area greenness and hypertension: a national assessment on urban adults in Bangladesh

ABSTRACT This study investigated the associations between greenness and blood pressure (BP) metrics (systolic BP [SBP], diastolic BP [DBP], hypertension) among urban adults in Bangladesh and the potential mediation effects of body mass index (BMI) using 2011 Bangladesh Demographic and Health Survey data for 2360 urban adults (aged ≥35 years). The Enhanced Vegetation Index was used as a measure of residential area greenness. Associations between greenness and BP metrics were estimated using linear and binary logistic regression models. We also conducted mediation analyses. Greater area-level greenness was inversely associated with SBP (β −1.33, 95%CI: −2.46, −.20), DBP (β −.83, 95%CI: −1.64, −.02), and hypertension (adjusted odds ratio .87, 95%CI: .77, .98). BMI substantially mediated associations between greenness and BP metrics. Adopting urban greening policies could reduce the risk of hypertension, thus can contribute to reduction of non-communicable disease burden in Bangladesh. Longitudinal studies are required to further investigate the causal pathways.

Relationship between blood pressure and BMI in young adult population: a national-level assessment in Bangladesh.

Young adulthood is a crucial period for major physiological transitions. Environmental changes associated with these transitions can influence health behaviour and health (e.g. poor diet, high body weight and elevated blood pressure (EBP)). Excess body weight can lead to EBP; however, little is known about this relationship among young adults in developing countries. Focusing on Bangladesh, this study assessed the association between BMI and blood pressure (BP) metrics (systolic BP (SBP), diastolic BP (DBP) and BP class (optimal, normal/high normal and elevated)). Sex-specific analyses of these relationships were performed to assess any difference across sexes. Furthermore, associations of overweight/obesity with BP metrics were investigated. Young adults aged 18-24 years (n 2181) were included from nationally representative cross-sectional Bangladesh Demographic and Health Survey 2017-2018. Multivariable linear and multinomial logistic regression models examined the relationships between BMI, overweight/obesity and BP metrics. Findings reveal that higher BMI was associated with higher SBP (0·83; 95 % CI 0·67, 0·99), DBP (0·66; 95 % CI 0·54, 0·74) and higher odds of having EBP (adjusted OR 1·24; 95 % CI 1·17, 1·31). These relationships were stronger among males than females. Moreover, overweight/obese individuals had higher SBP, DBP and higher odds of having EBP than individuals with normal BMI. Strategies to reduce body weight and to improve healthy lifestyle, and awareness and monitoring of BP may help to address these serious health problems, particularly at an early age.

Comparison of intradialytic blood pressure metrics as predictors of all-cause mortality.

ABSTRACTBackgroundIntradialytic hypotension (IDH) has been reported to be an important prognostic factor in hemodialysis patients. However, a standard definition of IDH has not yet been determined.MethodsWe retrospectively analyzed blood pressure (BP) metrics obtained during serial dialysis sessions over a 90-day period from a single dialysis center from 2016 to 2017. The mean values and the frequency of specific values of BP were analyzed as predictors of 3-year mortality.ResultsA total of 430 patients who underwent maintenance dialysis were included. The mean age was 63.3 ± 12.4 years and 58.6% were male. A low minimum systolic blood pressure (SBP) <110 mmHg during dialysis was significantly associated with increased all-cause mortality. The frequency of a minimum SBP <100 mmHg was the most significant predictor of 3-year mortality, with an area under the curve (AUC) of 0.722. Furthermore, the frequency of a minimum SBP <100 mmHg significantly increased the predictability of mortality when combined with the presence of other clinical factors including age, body mass index and vascular access type (AUC 0.786 vs. 0.835; p = 0.005).ConclusionAmong the various intradialytic BP metrics, the frequency of a minimum SBP <100 mmHg is the most significant factor related to all-cause mortality. The guidelines for the management of blood pressure in dialysis patients should consider including a minimum SBP <100 mmHg as a definition for IDH.

Accuracy of Peridialytic, Intradialytic, and Scheduled Interdialytic Recordings in Detecting Elevated Ambulatory Blood Pressure in Hemodialysis Patients

Current recommendations suggest the use of ambulatory blood pressure monitoring (ABPM) as the gold standard for hypertension diagnosis and management in hemodialysis patients. This study assesses the accuracy of peridialytic, intradialytic, and scheduled interdialytic recordings in detecting abnormally elevated 44-hour interdialytic blood pressure (BP). Diagnostic test study. 242 Greek hemodialysis patients who successfully underwent ABPM. Ambulatory BP was used as the reference method to evaluate the accuracy of the following BP metrics: predialysis and postdialysis BP, intradialytic BP, intradialytic plus pre/postdialysis BP, and scheduled interdialytic BP (on an off-dialysis day at 8:00 am, 8:00 pm, and their average). 44-hour ambulatory systolic BP/diastolic BP (SBP/DBP)≥ 130/80 mm Hg. The 44-hour SBP/DBP levels differed significantly from predialysis and postdialysis BP but showed no or minor differences compared with the other BP metrics. Bland-Altman plots showed an absence of systematic bias for all metrics but large between-method difference and wider 95% limits of agreement for predialysis and postdialysis BP compared with intradialytic, intradialytic plus pre/postdialysis, and averaged scheduled interdialytic BP. The sensitivity/specificity and κ-statistic for diagnosing 44-hour SBP≥ 130 mm Hg were low for predialysis (86.5%/38.6%, κ-statistic = 0.27) and postdialysis BP (63.1%/73.3%, κ-statistic = 0.35), but better for intradialytic BP (77.3%/76.2%, κ-statistic = 0.53), intradialytic plus pre/postdialysis BP (76.6%/72.3%, κ-statistic = 0.49), and scheduled interdialytic BP (87.9%/77.2%, κ-statistic = 0.66). In receiver operating characteristic (ROC) analyses, the areas under the curve (AUC) of predialysis SBP (AUC = 0.723) and postdialysis SBP (AUC = 0.746) were significantly lower than that of intradialytic SBP (AUC = 0.850), intradialytic plus pre/postdialysis SBP (AUC = 0.850), and scheduled interdialytic SBP (AUC = 0.917) (z test, P< 0.001 for all pairwise comparisons). Similar observations were made for DBP. Typical home BP data were not obtained, and no assessment was obtained of the reproducibility of the examined metrics over time. Intradialytic, intradialytic plus pre/postdialysis, and scheduled interdialytic BP measurements were more accurate in detecting elevated 44-hour BP than predialysis and postdialysis BP. Averaged intradialytic BP recordings or scheduled readings at the off-dialysis day appear to be promising approaches to the diagnosis of elevated BP in hemodialysis.

Blood Pressure Trajectories Across the Life Course.

High blood pressure (BP) is a strong modifiable risk factor for cardiovascular disease (CVD). Longitudinal BP patterns themselves may reflect the burden of risk and vascular damage due to prolonged cumulative exposure to high BP levels. Current studies have begun to characterize BP patterns as a trajectory over an individual's lifetime. These BP trajectories take into account the absolute BP levels as well as the slope of BP changes throughout the lifetime thus incorporating longitudinal BP patterns into a single metric. Methodologic issues that need to be considered when examining BP trajectories include individual-level vs. population-level group-based modeling, use of distinct but complementary BP metrics (systolic, diastolic, mean arterial, mid, and pulse pressure), and potential for measurement errors related to varied settings, devices, and number of readings utilized. There appear to be very specific developmental periods during which divergent BP trajectories may emerge, specifically adolescence, the pregnancy period, and older adulthood. Lifetime BP trajectories are impacted by both individual-level and community-level factors and have been associated with incident hypertension, multimorbidity (CVD, renal disease, cognitive impairment), and overall life expectancy. Key unanswered questions remain around the additive predictive value of BP trajectories, intergenerational contributions to BP patterns (in utero BP exposure), and potential genetic drivers of BP patterns. The next phase in understanding BP trajectories needs to focus on how best to incorporate this knowledge into clinical care to reduce the burden of hypertensive-related outcomes and improve health equity.

Abstract P271: Objectively Measured Sleep Phenotypes Are Associated With Cardiovascular Health in Men and Women: Results From the Multi-Ethnic Study of Atherosclerosis Sleep Study

Introduction: Poor sleep patterns are ubiquitous and may play a role in cardiovascular disease etiology through their influence on health behaviors and factors included in the American Heart Association Life’s Simple 7 (AHA LS7). Associations of objectively measured sleep phenotypes with meeting cardiovascular health (CVH) metrics have not been previously examined in a population-based cohort of US men and women. Hypothesis: We hypothesized that sleep duration and continuity, insomnia, and sleep disordered breathing (SDB) would be associated with meeting overall and individual AHA LS7 metrics and that associations would vary by sex. Methods: Data from 1,920 adults (mean age: 68.5 y, 54% female), in the MESA Sleep Study, which coincided with Exam 5 and included questionnaires, overnight polysomnography, and 1 wk of wrist actigraphy, were used. Participants were categorized based on their level of meeting AHA LS7 metrics (smoking, diet, physical activity, BMI, blood pressure (BP), cholesterol, and glucose) as: ideal (2 points), moderate (1 point) or poor (0 points). Metric scores were summed to create an AHA LS7 score such that scores of 0-7, 8-11, and 12-14 represented poor, moderate, and ideal CVH, respectively. Linear and logistic regression models adjusted for age, race/ethnicity, education, health insurance, and alcohol were used to examine associations of sleep with CVH and any differences by sex. Results: Half of the sample had poor CVH (51%), and 44% and 5% had moderate and ideal CVH, respectively. In logistic models, sleeping &lt;6h/night was associated with 26% higher odds of poor CVH (OR (95%CI): 1.26 (1.01-1.56)). Doctor-diagnosed obstructive sleep apnea and an apnea hypoxia index ≥ 5 events/h (SDB) were associated with 79% and 96% higher odds of poor CVH (OR (95%CI): 1.79 (1.27-2.51) and 1.96 (1.56-2.45), respectively); associations did not vary by sex. Habitual snoring was associated with 44% and 60% higher odds of poor CVH in the overall sample and in women (OR (95%CI): 1.44 (1.05-1.97) and 1.60 (1.03-2.50)). In linear models, each additional hour of sleep was associated with a higher AHA LS7 score in the overall sample (β=0.09, p=0.019) and in men (β=0.13, p=0.025); while higher sleep maintenance efficiency, a measure of sleep quality, was associated with a higher AHA LS7 score in women (β=0.07, p=0.001) ( p-interaction &lt;0.05). When sleep patterns were examined in relation to individual CVH metrics, sleeping &lt;6h was associated with not meeting the smoking (p=0.031), BMI (p&lt;0.01), and BP metrics (p=0.022). Insomnia (WHI Insomnia Rating Scale score &gt;10) was associated with not meeting the physical activity metric (p&lt;0.01). SDB was associated with not meeting the BMI, BP and glucose metrics (p≤0.01). Conclusions: SDB and shorter sleep were associated with poor CVH and with not meeting BMI, BP, and glucose metrics. Disrupted sleep continuity was associated with lower CVH scores in women.

Office, standardized and 24-h ambulatory blood pressure and renal function loss in renal transplant patients.

Hypertension is a risk factor for renal function loss in kidney transplant patients but there are still no longitudinal studies focusing on the relationship between ambulatory blood pressure (BP) monitoring (ABPM) and the glomerular filtration rate (GFR) evolution over time in these patients. In a cohort of 260 renal transplant patients, we investigated the longitudinal relationship between repeated office BP measurements and simultaneous GFR measurements (on average 35 paired measurements per patient) and the relationship between baseline ABPM with the same outcome measure (by linear mixed models). Furthermore, we tested the prediction power of baseline ABPM and standardized BP measurements for a combined renal end point (GFR loss >30%, end-stage kidney disease or death) over a 3.7 years follow-up. Longitudinal office BP measurements were inversely related with simultaneous GFR measurements and the same was true both for baseline daytime and night-time BP. (all P < 0.001). Baseline 24-h ABPM [hazard ratio (5 mmHg):1.11; 95% confidence interval 1.03-1.19] and night-time SBP [hazard ratio (5 mmHg):1.10; 95% confidence interval 1.03-1.17] predicted the combined renal end point and the predictive model based on night-time SBP provided a data-fit superior than that by daytime SBP. In renal transplant patients, daytime and night-time SBP predict the risk of GFR loss overtime, and among the various BP metrics, night-time BP is the strongest indicator of the risk of renal function loss. Optimization of BP control and interventions targeting night-time BP may afford renal benefits in transplant patients, a hypothesis that remains to be tested in a clinical trial.

Agreement between finger plethysmography‐ and brachial oscillometry‐derived blood pressure measurements

Blood pressure (BP) is commonly assessed by brachial oscillometry in clinical practice, whereas in physiological studies, finger plethysmography is often employed. This study assessed the limits of agreement between BP metrics obtained from each device. In 96 participants, we simultaneously recorded BP by brachial oscillometry (BP+; Uscom, Sydney, NSW, Australia) and finger plethysmography (Finometer MIDI, MLE1054-V; Finapres Medical Systems B.V., Amsterdam, the Netherlands). Agreement between the two devices was assessed by correlation and Bland-Altman analysis. We assessed average BP differences between the two devices using the criteria of the Association for the Advancement of Medical Instruments (AAMI), which require systolic and diastolic BP differences to be within ≤5±8 (mean±SD). Bland-Altman analysis showed wide limits of agreement (±~17mmHg or greater) between finger-derived brachial and oscillometric BP. Both systolic and mean BP exhibited positive proportional biases (both P<0·05). Systolic BP differed significantly between devices (7·4±17·7mmHg, P<0·001), which did not meet the AAMI criteria. No mean bias was observed for diastolic BP (-1·5± 8·6mmHg, P=0·097), and the SD of ±8·6mmHg is potentially acceptable given the finger signal may be expected to capture biological variability in BP. Mean BP showed poor concordance (3·7±10·5mmHg, P<0·001). These findings indicate that systolic and mean BP measurements made by brachial oscillometry do not agree with those from finger plethysmography. In contrast, diastolic BP values show acceptable agreement.