Visit-to-Visit Variability of Blood Pressure Is Associated With Hospitalization and Mortality in an Unselected Adult Population

Cardiovascular Precision Medicine and Remote Intervention Trial Rationale and Design

Background: It has recently been shown that excessive fluctuation in blood pressure readings for an individual over time is closely associated with poor outcomes, including increased risk of cardiovascular mortality, coronary heart disease and stroke. Fluctuations may be associated with inconsistent adherence to medical recommendations. This new marker of risk has not yet been incorporated into a monitoring and intervention strategy that seeks to reduce cardiovascular risk by identifying patients through an algorithm tied to their electronic health record (EHR). Methods: We describe the methods used in an innovative "proof of concept" trial using CP&R (Cardiovascular Precision Medicine and Remote Intervention). A blood pressure variability index is calculated for clinic patients via an EHR review. Consenting patients with excessive variability are offered a remote intervention aimed at improving adherence to medical recommendations. The outcomes include the ability to identify and engage the identified patients and the effects of the intervention on blood pressure variability using a pre-post comparison design without parallel controls. Conclusions: Our innovative approach uses a recently identified marker based on reviewing and manipulating EHR data tied to a remote intervention. This design reduces patient burden and supports equitable and targeted resource allocation, utilizing an objective criterion for behavioral risk. This study is registered under ClinicalTrials.gov Identifier: NCT05814562.

Impact of sleep quality and physical activity on blood pressure variability

Increased blood pressure variability (BPV) is linked to cardiovascular disease and mortality, yet few modifiable BPV risk factors are known. We aimed to assess the relationship between sleep quality and activity level on longitudinal BPV in a cohort of community-dwelling adults (age ≥18) from 17 countries. Using Withings home measurement devices, we examined sleep quality and physical activity over one year, operationalized as mean daily step count and number of sleep interruptions, both transformed into tertiles. The primary study outcome was high BPV, defined as the top tertile of systolic blood pressure standard deviation. Our cohort comprised 29,375 individuals (mean age = 58.6 years) with 127.8±90.1 mean days of measurements. After adjusting for age, gender, country, body mass index, measurement days, mean blood pressure, and total time in bed, the odds ratio of having high BPV for those in the top tertile of sleep interruptions (poor sleep) was 1.37 (95% CI, 1.28-1.47) and 1.44 (95% CI, 1.35-1.54) for those in the lowest tertile of step count (physically inactive). Combining these exposures revealed a significant excess relative risk of 0.20 (95% CI, 0.04-0.35, p = 0.012), confirming their super-additive effect. Comparing individuals with the worst exposure status (lowest step count and highest sleep interruptions, n = 2,690) to those with the most optimal status (highest step count and lowest sleep interruptions, n = 3,531) yielded an odds ratio of 2.01 (95% CI, 1.80-2.25) for high BPV. Our findings demonstrate that poor sleep quality and physical inactivity are associated with increased BPV both independently and super-additively.

Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China

BACKGROUND

Visit-to-visit body weight variability (BWV), pulse rate variability (PRV), and blood pressure variability (BPV) have been respectively linked to multiple health outcomes. The associations of the combination of long-term variability in physiological measures with mortality and epigenetic age acceleration (EAA) remain largely unknown.

METHODS

We constructed a composite score of physiological variability (0-3) of large variability in BWV, PRV, and BPV (the top tertiles) in 2006/2008-2014/2016 in the Health and Retirement Study (HRS) and 2011-2015 in the China Health and Retirement Longitudinal Study (CHARLS). All-cause mortality was documented through 2018. EAA was calculated using thirteen DNA methylation-based epigenetic clocks among 1047 participants in a substudy of the HRS. We assessed the relation of the composite score to the risk of mortality among 6566 participants in the HRS and 6906 participants in the CHARLS by Cox proportional models and then investigated its association with EAA using linear regression models.

RESULTS

A higher score of variability was associated with higher mortality risk in both cohorts (pooled hazard ratio [HR] per one-point increment, 1.27; 95% confidence interval [CI], 1.18, 1.39; P-heterogeneity = 0.344), after adjustment for multiple confounders and baseline physiological measures. Specifically, each SD increment in BWV, PRV, and BPV was related to 21% (95% CI: 15%, 28%), 6% (0%, 13%), and 12% (4%, 19%) higher hazard of mortality, respectively. The composite score was significantly related to EAA in second-generation clocks trained on health outcomes (e.g., standardized coefficient = 0.126 in the Levine clock, 95% CI: 0.055, 0.196) but not in most first-generation clocks trained on chronological age.

CONCLUSIONS

Larger variability in physiological measures was associated with a higher risk of mortality and faster EAA.

Short-term blood pressure variability and outcomes in non-dialysis chronic kidney disease

Background

Blood pressure variability (BPV) is associated with cardiovascular and all-cause mortality, and has been demonstrated in dialysis patients, but has been poorly studied and remains controversial in non-dialysis chronic kidney disease (CKD) patients. We investigated the effect of short-term BPV on prognosis in this population.

Methods

A total of 245 stage 1–4 CKD patients with 24-h ambulatory blood pressure recordings were recruited. BPV was evaluated by standard deviation, coefficient of variation, and variation independent of the mean, respectively. All subjects were followed up to the composite end-point event or until January 15, 2020. Patients were divided into two groups based on 24-h median variation independent of the mean, and demographics, laboratory indicators and echocardiogram results were compared. Logistic regression was used to analyze the risk factors for increased BPV. Multivariate Cox regression and Kaplan-Meier survival analysis were used to explore the relationship between BPV and renal prognosis and major cardiovascular events.

Results

The mean age was 42.07 ± 12.66 years, with 141 males (57.55%). Multivariate Logistic regression analysis showed that high BMI (OR 1.110, P = 0.017), hyperkalemia (OR 2.227, P = 0.040), increased left ventricular end-diastolic diameter (OR 1.103, P = 0.010) and hypertension (OR 2.525, P = 0.002) were independent risk factors for high BPV. Kaplan-Meier survival analysis showed that renal and cardiovascular outcomes were better in the low BPV group than in the high BPV group (P = 0.006; P = 0.002). After adjusting for age, sex and traditional kidney related risk factors, BPV were not independently associated with renal outcomes. High BPV (HR 4.662, P = 0.017) was the main independent risk factor for major cardiovascular events in CKD.

Conclusions

In non-dialysis CKD, short-term BPV was associated with major cardiovascular disease but not renal progression. BMI, hypertension, potassium balance, and left ventricular end-diastolic diameter influenced short-term BPV.

Utilization of health services among the elderly in Iran during the COVID-19 outbreak: A cross-sectional study

Background and Aims

Elderly people are potentially vulnerable with a higher need for health services, and utilization of Essential Public Health Services (EPHS) among this group is of high importance. This study aimed to examine the utilization of health services among the elderly in Iran during the coronavirus disease 2019 outbreak.

Methods

This was a cross-sectional study conducted in 21 public health centers in Sirjan, Southern Iran, from May to December 2020. A total of 420 elderly patients were selected through a systematic random sampling method. Data were collected using a questionnaire and were analyzed using SPSS v22.0. The binary logistic regression was used to examine the effect of demographic, socioeconomic and morbidity status on inpatient and outpatient healthcare utilization.

Results

Our results showed that 56% of the elderly had a history of hospitalization during the last year. Although 60% of the elderly reported they had a perceived need for outpatient services, only 49% of them reported that they utilized outpatient services. 51% and 35.5% of the elderly reported that their inpatient and outpatient costs were covered by health insurance, respectively. Others reported their health spending was financed through out-of-pocket payments. Male gender aged 80 and above, urban residents, higher socioeconomic and supplemental insurance coverage were associated with an increase in health services utilization. The elderly with Cancer, mental disorders, kidney disease, and cardiovascular diseases (CVDs) were more likely to be hospitalized.

Conclusion

There were demographic and socioeconomic inequalities in health services utilization among the elderly. Therefore, appropriate interventions and strategies are needed to reduce these inequalities in health services utilization among the elderly. In addition, given that the hospitalization rate was significantly higher among the elderly with chronic diseases than those without, it is crucial and necessary to take interventions to reduce the burden of chronic diseases in the future.

Day-to-day blood pressure variability predicts poor outcomes following percutaneous coronary intervention: A retrospective study

BACKGROUND

For patients with cardiovascular disease, blood pressure variability (BPV), distinct from hypertension, is an important determinant of adverse cardiac events. Whether pre-operative BPV adversely affects outcomes after percutaneous coronary intervention (PCI) is to this point unclear.

AIM

To investigate the relationship between blood pressure variability and outcomes for patients post-PCI.

METHODS

Patients undergoing PCI in a single state in 2017 were studied (n = 647). Systolic and diastolic BPV, defined as both the largest change and standard deviation for the 3-60 mo prior to PCI was calculated and patients with more than ten blood pressure measurements in that time were included for analysis (n = 471). Adverse outcomes were identified up to a year following the procedure, including major adverse cardiac events (MACE), myocardial infarction, cerebrovascular accident, death, and all-cause hospitalization.

RESULTS

Visit-to-visit systolic BPV, as measured by both standard deviation and largest change, was higher in patients who had myocardial infarction, were readmitted, or died within one year following PCI. Systolic BPV, as measured by largest change or standard deviation, was higher in patients who had MACE, or readmissions (P < 0.05). Diastolic BPV, as measured by largest change, was higher in patients with MACE and readmissions (P < 0.05).

CONCLUSION

As BPV is easily measured and captured in the electronic medical record, these findings describe a novel method of identifying at-risk patients who undergo PCI. Aggressive risk modification for patients with elevated BPV and known coronary artery disease is indicated.

Effect of dihydropyridine calcium channel blockers on blood pressure variability in the SPRINT trial: a treatment effects approach

OBJECTIVE

Increased visit-to-visit blood pressure variability (vvBPV) has negative effects on multiple organ systems. Prior research has suggested that dihydropyridine calcium channel blockers (CCB) may reduce vvBPV, which we attempted to verify in a high-quality dataset with robust statistical methodology.

METHODS

We performed a post hoc analysis of the SPRINT trial and included participants who were on a dihydropyridine CCB either 0 or 100% of follow-up study visits. The primary outcome was vvBPV, defined as residual standard deviation (rSD) of SBP from month 6 until study completion. We estimated the average treatment effect of the treated (ATET) after augmented inverse-probability-weighting (AIPW) matching.

RESULTS

Of the 9361 participants enrolled in SPRINT, we included 5020, of whom 1959 were on a dihydropyridine CCB and 3061 were not; mean age was 67.4 ± 9.2 years, 34.5% were men, 65.9% were white, 49.4% were randomized to intensive blood pressure control, and the rSD was 10.1 ± 4.0 mmHg. Amlodipine represented greater than 95% of dihydropyridine CCB use. After AIPW matching of demographics and other antihypertensive medications, the ATET estimation for participants on a dihydropyridine CCB was an rSD that was 2.05 mmHg lower (95% CI -3.19 to -0.91). We did not find that other antihypertensive medications classes decreased vvBPV, and several increased it.

CONCLUSION

In the SPRINT trial, consistent use of a dihydropyridine CCB was associated with a 2 mmHg reduction in vvBPV. The implication of this hypothesis-generating finding in a high-quality dataset is that future trials to reduce vvBPV could consider using dihydropyridine CCBs.

Midlife Blood Pressure Variability and Risk of All-Cause Mortality and Cardiovascular Events During Extended Follow-up

BACKGROUND

Studies demonstrate an association between visit-to-visit blood pressure variability (BPV) and cardiovascular events and death. We aimed to determine the long-term cardiovascular and mortality effects of BPV in midlife in participants with and without cardiovascular risk factors.

METHODS

This is a post-hoc analysis of the Atherosclerosis Risk in the Community study. Long-term BPV was derived utilizing mean systolic blood pressure at Visits 1-4 (Visit 1: 1987-1989, Visit 2: 1990-1992, Visit 3: 1993-1995, Visit 4: 1996-1998). The primary outcome was mortality from Visit 4 to 2016 and secondary outcome was cardiovascular events (fatal coronary heart disease, myocardial infarction, cardiac procedure, or stroke). We fit Cox proportional hazards models and also performed the analysis in a subgroup of cardiovascular disease-free patients without prior stroke, myocardial infarction, congestive heart failure, hypertension, or diabetes.

RESULTS

We included 9,578 participants. The mean age at the beginning of follow-up was 62.9 ± 5.7 years, and mean follow-up was 14.2 ± 4.5 years. During follow-up, 3,712 (38.8%) participants died and 1,721 (n = 8,771, 19.6%) had cardiovascular events. For every SD higher in systolic residual SD (range 0-60.5 mm Hg, SD = 5.6 mm Hg), the hazard ratio for death was 1.09 (95% confidence interval [CI] 1.05-1.12) and for cardiovascular events was 1.00 (95% CI 0.95-1.05). In cardiovascular disease-free participants (n = 4,452), the corresponding hazard ratio for death was 1.12 (95% CI 1.03-1.21) and for cardiovascular events was 1.01 (95% CI 0.89-1.14).

CONCLUSION

Long-term BPV during midlife is an independent predictor of later life mortality but not cardiovascular events.

Correlations Among Visit-to-Visit Blood Pressure Variability and Treatment With Antihypertensive Medication With Long-Term Adverse Outcomes in a Large Veteran Cohort

BACKGROUND

Blood pressure variability (BPV) is associated with adverse events (AEs) independently of hypertension. It has been suggested that calcium channel blockers (CCBs) may reduce BPV, and thus be particularly valuable in hypertensives with high BPV. We sought to investigate how CCB affect BPV progression and whether long-term adverse effects of BPV differ after CCB treatment than after treatment with other antihypertensives.

METHODS

We retrospectively analyzed 25,268 US veterans who had been followed for 3 years without hypertensive therapy, started on a single class of antihypertensive agents (thiazides, CCBs, ACE inhibitors, or beta blockers [BBs]), treated for 6 years, and then followed for 3 additional years. BPV was calculated as SD of systolic or diastolic blood pressures from at least 10 measurements over each 3-year period. A combined AE endpoint included hospitalization, coronary artery bypass grafting, carotid endarterectomy, angioplasty, amputation, arteriovenous fistula creation, and mortality was assessed in years 9-12.

RESULTS

Post-medication high BPV and BB or thiazide use were associated with increased AE risk. Medication type also affected mean post-medication BPV. The effects of medications except for BBs on AE and mortality was independent of the patient BPV.

CONCLUSIONS

The possible deleterious effects of thiazides should be considered within the context of the study population, who were mostly male and received only a single class of hypertensives. While CCB may ameliorate BPV over time, this study does not support choosing CCB over other agents specifically to lessen BPV-associated risk.

Preoperative and Intraoperative Blood Pressure Variability Independently Correlate with Outcomes

BACKGROUND

Blood pressure variability (BPV) describes visit-to-visit blood pressure (BP) changes independent of hypertension. Preoperative BPV and intraoperative BPV are associated with increased postoperative outcomes. We investigated the impact of both preoperative BPV and intraoperative BPV on elective surgical outcomes, specifically whether preoperative BPV and intraoperative BPV were independent risk factors for surgical complications.

MATERIALS AND METHODS

We investigated 600 patients undergoing elective surgery lasting more than two h and who had ≥8 outpatient BP recordings over three preoperative years. Age, sex, ethnicity, BMI, current medical problems, and medications at time of surgery were recorded. BPV was calculated as the standard deviation (SD) of systolic or diastolic BP for the 369 valid patients. Average BPV were compared between adverse outcomes of readmission, wound infection, acute kidney injury, death, myocardial infarction, and cerebral vascular accident.

RESULTS

Three-hundred-sixty-nine (52.6% male, 47.4% female, 98.1% non-Hispanic) patients (mean age 62.5) were included in the study. Preoperative systolic (P = 0.043) and diastolic (P = 0.009) BPV were higher for patients with the combined endpoint of all adverse events. Preoperative systolic BPV was correlated with intraoperative BPV (P = 0.010). Both systolic and diastolic preoperative BPV was found to be independent from intraoperative BPV. Otolaryngology procedures were associated with less adverse outcomes (P = 0.034), whil antimicrobials (P = 0.022), autonomic drugs (P < 0.001), or respiratory drugs (P = 0.032) was associated with an increased likelihood of adverse outcome.

CONCLUSION

Preoperative DBPV is associated with increased risk of readmission, wound infection and the combined endpoint of all adverse events. Intraoperative systolic blood pressure variability (SPBV) is associated with increased risk of acute kidney injury and the combined endpoint of all adverse events. Preoperative DBPV and intraoperative SBPV are independent risk factors for ninety-d postoperative outcomes. BPV should be considered in individualized risk assessment when assessing patient eligibility for elective procedures.

Glucose variability and diabetes complications: Risk factor or biomarker? Can we disentangle the "Gordian Knot"?

« Variability in glucose homoeostasis » is a better description than « glycaemic variability » as it encompasses two categories of dysglycaemic disorders: i) the short-term daily glucose fluctuations and ii) long-term weekly, monthly or quarterly changes in either HbA1c, fasting or postprandial plasma glucose. Presently, the relationship between the "variability in glucose homoeostasis" and diabetes complications has never been fully clarified because studies are either observational or limited to retrospective analysis of trials not primarily designed to address this issue. Despite the absence of definitive evidence from randomized controlled trials (RCTs), it is most likely that acute and long-term glucose homoeostasis "cycling", akin to weight and blood pressure "cycling" in obese and hypertensive individuals, are additional risk factors for diabetes complications in the presence of sustained ambient hyperglycaemia. As hypoglycaemic events are strongly associated with short- and long-term glucose variability, two relevant messages can be formulated. Firstly, due consideration should be given to avoid within-day glucose fluctuations in excess of 36% (coefficient of variation) at least for minimizing the inconvenience and dangers associated with hypoglycaemia. Secondly, it seems appropriate to consider that variability in glucose homoeostasis is not only associated with cardiovascular events but is also a causative risk factor via hypoglycaemic episodes as intermediary step. Untangling the" Gordian Knot", to provide confirmation about the impact of variability in glucose homoeostasis and diabetes complications remains a daunting prospect.

Effect of Variability in Blood Pressure, Glucose and Cholesterol Concentrations, and Body Weight on Emergency Hospitalization and 30-Day Mortality in the General Population

Background

Variability in blood pressure, glucose concentration, cholesterol concentration, or body weight is associated with a wide range of health outcomes. We hypothesized that high variability in metabolic parameters is associated with an increased risk of emergency hospitalization and mortality.

Methods and Results

Using a nationally representative database from the Korean National Health Insurance System, 8 049 228 individuals who underwent 3 or more health examinations during 2005 to 2010 were followed up until the end of 2016. Variability in fasting blood glucose and total cholesterol concentrations, systolic blood pressure, and body weight was measured using the variability independent of the mean (VIM). High variability was defined as the highest quartile of variability. Subjects were classified according to the number of high variability parameters. The end points of the study were emergency hospitalization and 30‐day mortality. There were 733 387 emergency hospitalizations (9.1%) during a median follow‐up of 5.6±1.2 years. For each metabolic parameter, an incrementally higher risk of emergency hospitalization was observed for higher VIM quartile groups than for the lowest quartile group. Compared with the group with low variability for all 4 parameters, the group with high variability for all 4 parameters had a significantly higher risk for emergency hospitalization (hazard ratio [HR], 1.58; 95% CI, 1.54–1.61) and 30‐day mortality (HR, 2.44; 95% CI, 1.62–3.69), after adjusting for possible confounding factors.

Conclusions

High variability in metabolic parameters was associated with increased risk of emergency hospitalization and short‐term mortality.

Digital Management of Hypertension Improves Systolic Blood Pressure Variability

BACKGROUND

Higher systolic blood pressure variability has been shown to be a better predictor of all-cause and cardiovascular disease mortality, stroke, and cardiac disease compared with average systolic blood pressure.

METHODS

We evaluated the impact of a digital hypertension program on systolic blood pressure variability in 803 consecutive patients with long-standing hypertension who had been under the care of a primary care physician for a minimum of 12 months prior to enrollment (mean 4.7 years). Blood pressure readings were transmitted directly from home using a digitally connected blood pressure unit. Medication adjustments and lifestyle coaching was performed virtually via a dedicated team of pharmacists and health coaches. Systolic blood pressure variability was grouped by quartile and measured using the standard deviation (SD) of all systolic blood pressure values per individual.

RESULTS

The mean age was 67 ± 12 years, 41% were male, submitting 3.3 ± 3.7 blood pressures per week. Under usual care, only 30% of patients were in the lowest-risk quartile, and 21% of patients were in the highest risk. After 24 months, the mean systolic blood pressure variability progressively fell from 12.8 ± 4.3 mm Hg to 9.9 ± 5.1 mm Hg (P <0.0001) with 57% of patients achieving the lowest-risk quartile.

CONCLUSIONS

The majority of patients with hypertension under usual care have elevated systolic blood pressure variability exposing them to higher risk of cardiovascular disease events. Digital management of hypertension that includes weekly submission of home readings leads to improvement in average systolic blood pressure as well as systolic blood pressure variability over time, which should improve cardiovascular prognosis.

Effects of Cardiovascular Risk Factor Variability on Health Outcomes

Innumerable studies have suggested "the lower, the better" for cardiovascular risk factors, such as body weight, lipid profile, blood pressure, and blood glucose, in terms of health outcomes. However, excessively low levels of these parameters cause health problems, as seen in cachexia, hypoglycemia, and hypotension. Body weight fluctuation is related to mortality, diabetes, obesity, cardiovascular disease, and cancer, although contradictory findings have been reported. High lipid variability is associated with increased mortality and elevated risks of cardiovascular disease, diabetes, end-stage renal disease, and dementia. High blood pressure variability is associated with increased mortality, myocardial infarction, hospitalization, and dementia, which may be caused by hypotension. Furthermore, high glucose variability, which can be measured by continuous glucose monitoring systems or self-monitoring of blood glucose levels, is associated with increased mortality, microvascular and macrovascular complications of diabetes, and hypoglycemic events, leading to hospitalization. Variability in metabolic parameters could be affected by medications, such as statins, antihypertensives, and hypoglycemic agents, and changes in lifestyle patterns. However, other mechanisms modify the relationships between biological variability and various health outcomes. In this study, we review recent evidence regarding the role of variability in metabolic parameters and discuss the clinical implications of these findings.

Preoperative outpatient blood pressure variability predicts postoperative mortality, readmission and morbidity after surgery

BACKGROUND

Outpatient blood pressure variability (BPV) predicts hospitalization and death in non-surgical patients independently of hypertension. We hypothesized that preoperative BPV predicts postoperative outcomes.

METHODS

We assessed 22,233 veterans undergoing CABG, colectomy, hip replacement, pancreatectomy, carotid endarterectomy or AV-fistula with ≥10 outpatient BP's over three preoperative years. Calculating BPV as SD of systolic or diastolic BP, we used logistic regression considering demographics, comorbidities, and pre-admission cardiovascular medications to estimate odds ratios for 90-day mortality or readmission, MI, CVA, renal failure, and wound infection, choosing the lowest 5%ile of systolic/diastolic BPV for reference.

RESULTS

Covariate-adjusted ORs for adverse outcomes increased as BPV increased. For instance, the highest 5%ile of systolic BPV had covariate-adjusted ORs of 2.96 and 1.78 for 90-day mortality and readmission. Systolic and diastolic BPV trended together but affected outcomes independently.

CONCLUSIONS

Preoperative BPV predicts postoperative outcomes. BPV should be considered in individualized risk assessment and subgroup risk stratification.