The utility of home blood pressure load in predicting average self-measured blood pressure.

OBJECTIVES: Average values for self-measured blood pressure (SMBP) more accurately reflect a patient's risk of cardiovascular disease than do office measurements. Oftentimes, however, patients provide lists of individual home blood pressure (BP) measurements, and average values cannot be computed within the time constraints of a clinic visit. In contrast, the home BP load - defined as the proportion of BP values greater than a partition value (e.g., 130 mmHg) - can be easily calculated. We examined the utility of the BP load in predicting the mean SMBP and confirming elevated SMBP. METHODS: Four hundred twenty untreated adults at least 30 years of age acquired SMBP data twice in the morning and twice in the evening over 10 days. The 'true' SMBP was defined as the mean of these 40 determinations. RESULTS: Using all 10 days of BP data and a systolic BP threshold of 130 mmHg, the average SMBP associated with a home BP load of 0.50 was 130 mmHg, with a 95% prediction interval of 126-133 mmHg. True systolic SMBP was approximately 6 mmHg lower and higher at home BP loads of 0.25 and 0.75, respectively. There was a 90% probability that the true systolic SMBP was greater than 130 mmHg if the systolic home BP load was at least 0.60. Corresponding values for 3 days and 1 day of SMBP were at least 0.68 and at least 0.84, respectively. CONCLUSION: Our analysis demonstrates that the home BP load can be used to estimate the average BP acquired on home monitoring and confirm elevated SMBP.

Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria.

BACKGROUND: The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization. METHODS: A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups. RESULTS: The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status. CONCLUSIONS: The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

Cognitive behavior therapy for insomnia for untreated hypertension with comorbid insomnia disorder: The SLEEPRIGHT clinical trial.

Insomnia and poor sleep are associated with an increased risk of developing cardiovascular disease (CVD) and its precursors, including hypertension. In 2022, the American Heart Association (AHA) added inadequate sleep to its list of health behaviors that increase the risk for CVD. It remains unknown, however, whether the successful treatment of insomnia and inadequate sleep can reduce heightened CVD risk. SLEEPRIGHT is a single-site, prospective clinical trial designed to evaluate whether the successful treatment of insomnia results in improved markers of CVD risk in patients with untreated hypertension and comorbid insomnia disorder. Participants (N = 150) will undergo baseline assessments, followed by a 6-week run-in period after which they will receive cognitive behavior therapy for insomnia (CBT-I), comprised of 6 hourly sessions with an experienced CBT-I therapist over a 6-week period. In addition to measures of insomnia severity, as well as both subjective and objective measures of sleep, the primary outcome measures are nighttime blood pressure (BP) and BP dipping assessed by 24-h ambulatory BP monitoring (ABPM). Secondary outcomes include several CVD risk biomarkers, including clinic BP, lipid profile, vascular endothelial function, arterial stiffness, and sympathetic nervous system (SNS) activity. Data analysis will evaluate the association between improvements in insomnia and sleep with primary and secondary CVD risk biomarker outcomes. The SLEEPRIGHT trial (ClinicalTrials.Gov NCT04009447) will utilize CBT-I, the current gold standard treatment for insomnia disorder, to evaluate whether reducing insomnia severity and improving sleep are accompanied by improved biomarkers of CVD risk in patients with untreated hypertension.

Sex Differences in Receipt of Bystander Cardiopulmonary Resuscitation Considering Neighborhood Racial and Ethnic Composition.

BACKGROUND: Bystander cardiopulmonary resuscitation (B-CPR) and defibrillation for out-of-hospital cardiac arrest (OHCA) vary by sex, with women being less likely to receive these interventions in public. It is unknown whether sex differences persist when considering neighborhood racial and ethnic composition. We examined the odds of receiving B-CPR stratified by location and neighborhood. We hypothesized that women in predominantly Black neighborhoods will have a lower odds of receiving B-CPR. METHODS AND RESULTS: We conducted a retrospective study using the Cardiac Arrest Registry to Enhance Survival (CARES). Neighborhoods were classified by census tract. We modeled the odds of receipt of B-CPR (primary outcome), automatic external defibrillation application, and survival to hospital discharge (secondary outcomes) by sex. CARES collected 457 621 arrests (2013-2019); after appropriate exclusion, 309 662 were included. Women who had public OHCA had a 14% lower odds of receiving B-CPR (odds ratio [OR], 0.86 [95% CI, 0.82-0.89]), but effect modification was not seen by neighborhood (P=not significant). In predominantly Black neighborhoods, women who had public OHCA had a 13% lower odds of receiving B-CPR (adjusted OR, 0.87 [95% CI, 0.76-0.98]) and 12% lower odds of receiving automatic external defibrillation application (adjusted OR, 0.88 [95% CI, 0.78-0.99]). In predominantly Hispanic neighborhoods, women who had public OHCA were less likely to receive B-CPR (adjusted OR, 0.83 [95% CI, 0.73-0.96]) and less likely to receive automatic external defibrillation application (adjusted OR, 0.74 [95% CI, 0.64-0.87]). CONCLUSIONS: Women with public OHCA have a decreased likelihood of receiving B-CPR and automatic external defibrillation application. Findings did not differ significantly according to neighborhood composition. Despite this, our work has implications for considering strategies to reduce disparities around bystander response.

Acute Coronary Syndrome: Diagnosis and Initial Management.

Acute coronary syndrome (ACS) is defined as reduced blood flow to the coronary myocardium manifesting as ST-segment elevation myocardial infarction or non-ST-segment elevation ACS, which includes unstable angina and non-ST-segment elevation myocardial infarction. Common risk factors include being at least 65 years of age or a current smoker or having hypertension, diabetes mellitus, hyperlipidemia, a body mass index greater than 25 kg per m2, or a family history of premature coronary artery disease. Symptoms most predictive of ACS include chest discomfort that is substernal or spreading to the arms or jaw. However, chest pain that can be reproduced with palpation or varies with breathing or position is less likely to signify ACS. Having a prior abnormal cardiac stress test result indicates increased risk. Electrocardiography changes that predict ACS include ST depression, ST elevation, T-wave inversion, or presence of Q waves. No validated clinical decision tool is available to rule out ACS in the outpatient setting. Elevated troponin levels without ST-segment elevation on electrocardiography suggest non-ST-segment elevation ACS. Patients with ACS should receive coronary angiography with percutaneous or surgical revascularization. Other important management considerations include initiation of dual antiplatelet therapy and parenteral anticoagulation, statin therapy, beta-blocker therapy, and sodium-glucose cotransporter-2 inhibitor therapy. Additional interventions shown to reduce mortality in patients who have had a recent myocardial infarction include smoking cessation, annual influenza vaccination, and cardiac rehabilitation.

Race differences in ambulatory blood pressure monitoring parameters.

BACKGROUND: Mean systolic and diastolic blood pressure (SBP and DBP) on ambulatory blood pressure (BP) monitoring (ABPM) are higher among Black compared with White adults. With 48 to 72 BP measurements obtained over 24 h, ABPM can generate parameters other than mean BP that are associated with increased risk for cardiovascular events. There are few data on race differences in ABPM parameters other than mean BP. METHODS: To estimate differences between White and Black participants in ABPM parameters, we used pooled data from five US-based studies in which participants completed ABPM (n = 2580). We calculated measures of SBP and DBP level, including mean, load, peak, and measures of SBP and DBP variability, including average real variability (ARV) and peak increase. RESULTS: There were 1513 (58.6%) Black and 1067 (41.4%) White participants with mean ages of 56.1 and 49.0 years, respectively. After multivariable adjustment, asleep SBP and DBP load were 5.7% (95% CI: 3.5-7.9%) and 2.7% (95% CI: 1.1-4.3%) higher, respectively, among Black compared with White participants. Black compared with White participants also had higher awake DBP ARV (0.3 [95%CI: 0.0-0.6] mmHg) and peak increase in DBP (0.4 [95% CI: 0.0-0.8] mmHg). There was no evidence of Black:White differences in awake measures of SBP level, asleep peak SBP or DBP, awake and asleep measures of SBP variability or asleep measures of DBP variability after multivariable adjustment. CONCLUSION: Asleep SBP load, awake DBP ARV and peak increase in awake DBP were higher in Black compared to White participants, independent of mean BP on ABPM.

Use of Different Blood Pressure Thresholds to Reduce the Number of Home Blood Pressure Monitoring Days Needed for Detecting Hypertension.

BACKGROUND: Home blood pressure (BP) monitoring over a 7-day period is recommended to confirm the diagnosis of hypertension. METHODS: We determined upper and lower home BP thresholds with >90% positive predictive value and >90% negative predictive value using 1 to 6 days of monitoring to identify high home BP (systolic BP ≥130 mm Hg or diastolic BP ≥80 mm Hg) based on 7 days of home BP monitoring. The sample included 361 adults from the Improving the Detection of Hypertension Study who were not taking antihypertensive medication. We used two 7-day periods, at least 3 days apart, the first being a sampling period and the second a reference period. For each number of days in the sampling period, we determined the percentage of participants who had a high likelihood of having (>90% positive predictive value) or not having (>90% negative predictive value) high BP and would not need to continue home BP monitoring. Only the participants in an uncertain category (ie, positive predictive value ≤90% and negative predictive value ≤90%) after each day were carried forward to the next day of home BP monitoring. RESULTS: Of the 361 participants (mean [SD] age of 41.3 [13.2] years; 60.4% women), 38.0% had high home BP during the reference period. There were 63.7%, 17.1%, 10.5%, 3.3%, 3.6%, and 1.4% participants who would not need to continue after 1, 2, 3, 4, 5, and 6 days of monitoring. CONCLUSIONS: In most people, high home BP can be identified or excluded with a high degree of confidence with 3 days or less of monitoring.

Association of cancer with the risk of developing hypertension.

BACKGROUND AND AIMS: Although the importance of hypertension in patients with cancer is widely recognized, little is known about the risk of developing hypertension in patients with a history of cancer. METHODS: This retrospective observational cohort study analyzed data from the JMDC Claims Database between 2005 and 2022, including 78,162 patients with a history of cancer and 3,692,654 individuals without cancer. The primary endpoint was the incidence of hypertension. RESULTS: During a mean follow-up period of 1,208 ± 966 days, 311,197 participants developed hypertension. The incidence of hypertension was 364.6 (95% CI 357.0-372.2) per 10000 person-years among those with a history of cancer, and 247.2 (95% CI 246.3-248.1) per 10000 person-years in those without cancer. Individuals with a history of cancer had an elevated risk of developing hypertension according to multivariable Cox regression analyses (HR 1.17, 95% CI 1.15-1.20). Both cancer patients requiring active antineoplastic therapy (HR 2.01, 95% CI 1.85-2.20), and those who did not require active antineoplastic therapy (HR 1.14, 95% CI 1.12-1.17) had an increased risk of hypertension. A multitude of sensitivity analyses confirmed the robustness of the relationship between cancer and incident hypertension. Patients with certain types of cancer were found to have a higher risk of developing hypertension than those without cancer, with varying risks dependent on the type of cancer. CONCLUSIONS: Our analysis of a nationwide epidemiological database revealed that individuals with a history of cancer have a higher risk of developing hypertension, and that this finding applies to both cancer patients who require active antineoplastic therapy and those who do not.

Impact of primary care usual provider type and provider interdependence on outcomes for patients with diabetes: a cohort study.

BACKGROUND: Interprofessional primary care (PC) teams are key to the provision of high-quality care. PC providers often 'share' patients (eg, a patient may see multiple providers in the same clinic), resulting in between-visit interdependence between providers. However, concern remains that PC provider interdependence will reduce quality of care, causing some organisations to hesitate in creating multiple provider teams. If PC provider teams are formalised, the PC usual provider of care (UPC) type (physician, nurse practitioner (NP) or physician assistant/associate (PA)) should be determined for patients with varying levels of medical complexity. OBJECTIVE: To evaluate the impact of PC provider interdependence, UPC type and patient complexity on diabetes-specific outcomes for adult patients with diabetes. DESIGN: Cohort study using electronic health record data from 26 PC practices in central North Carolina, USA. PARTICIPANTS: Adult patients with diabetes (N=10 498) who received PC in 2016 and 2017. OUTCOME: Testing for diabetes control, testing for lipid levels, mean glycated haemoglobin (HbA1c) values and mean low-density lipoprotein (LDL) values in 2017. RESULTS: Receipt of guideline recommended testing was high (72% for HbA1c and 66% for LDL testing), HbA1c values were 7.5% and LDL values were 88.5 mg/dL. When controlling for a range of patient and panel level variables, increases in PC provider interdependence were not significantly associated with diabetes-specific outcomes. Similarly, there were no significant differences in the diabetes outcomes for patients with NP/PA UPCs when compared with physicians. The number and type of a patient's chronic conditions did impact the receipt of testing, but not average values for HbA1c and LDL. CONCLUSIONS: A range of UPC types on PC multiple provider teams can deliver guideline-recommended diabetes care. However, the number and type of a patient's chronic conditions alone impacted the receipt of testing, but not average values for HbA1c and LDL.

Disruption in Blood Pressure Control With the COVID-19 Pandemic: The PCORnet Blood Pressure Control Laboratory.

OBJECTIVE: To explore trends in blood pressure (BP) control before and during the COVID-19 pandemic. PATIENTS AND METHODS: Health systems participating in the National Patient-Centered Clinical Research Network (PCORnet) Blood Pressure Control Laboratory Surveillance System responded to data queries, producing 9 BP control metrics. Averages of the BP control metrics (weighted by numbers of observations in each health system) were calculated and compared between two 1-year measurement periods (January 1, 2019, through December 31, 2019, and January 1, 2020, through December 31, 2020). RESULTS: Among 1,770,547 hypertensive persons in 2019, BP control to <140/<90 mm Hg varied across 24 health systems (range, 46%-74%). Reduced BP control occurred in most health systems with onset of the COVID-19 pandemic; the weighted average BP control was 60.5% in 2019 and 53.3% in 2020. Reductions were also evident for BP control to <130/<80 mm Hg (29.9% in 2019 and 25.4% in 2020) and improvement in BP (reduction of 10 mm Hg in systolic BP or achievement of systolic BP <140 mm Hg; 29.7% in 2019 and 23.8% in 2020). Two BP control process metrics exhibited pandemic-associated disruption: repeat visit in 4 weeks after a visit with uncontrolled hypertension (36.7% in 2019 and 31.7% in 2020) and prescription of fixed-dose combination medications among those with 2 or more drug classes (24.6% in 2019 and 21.5% in 2020). CONCLUSION: BP control decreased substantially during the COVID-19 pandemic, with a corresponding reduction in follow-up health care visits among persons with uncontrolled hypertension. It is unclear whether the observed decline in BP control during the pandemic will contribute to future cardiovascular events.

Seasonal variation in blood pressure control across US health systems.

OBJECTIVE: 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. METHODS: 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. RESULTS: 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 ±â€Š0.90%) and average SBP reduction after medication intensification (16 ±â€Š0.23 mmHg). Quarter 3 had the highest percentage of BP controlled (62.25 ±â€Š2.55%) and lowest with medication intensification (9.73 ±â€Š0.60%). Results were largely consistent in adjusted models. Average temperature was associated with BP control metrics in unadjusted models, but associations were attenuated following adjustment. CONCLUSION: 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.

Racial difference in the association between non-alcoholic fatty liver disease and incident type 2 diabetes: findings from the CARDIA study.

AIMS/HYPOTHESIS: Type 2 diabetes and non-alcoholic fatty liver disease (NAFLD) are prevalent diseases of metabolic origin. We examined the association between NAFLD and the development of type 2 diabetes among non-Asian adults, and whether the association differs by race. METHODS: We analysed data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a population-based prospective cohort study. Participants underwent non-contrast abdominal computed tomography (CT) at baseline (2010-2011) and assessment of glucose measures at the follow-up exam (2015-2016). NAFLD was defined as liver attenuation ≤51 Hounsfield units on CT images after exclusion for other liver fat causes. Race was self-reported. We used targeted maximum likelihood estimation (TMLE) with machine-learning algorithms to estimate difference in type 2 diabetes risk between the NAFLD and non-NAFLD groups. RESULTS: Of the 1995 participants without type 2 diabetes at baseline (mean age±SD, 50.0±3.6 years; 59% women; 55.0% White and 45.0% Black), 21.7% of White and 16.8% of Black participants had NAFLD at baseline, and 3.7% of White and 8.0% of Black participants developed type 2 diabetes at follow up. After multivariable adjustment, risk difference for type 2 diabetes associated with NAFLD vs no NAFLD was 4.1% (95% CI 0.3%, 7.9%) among White participants and -1.9% (95% CI -5.7%, 2.0%) in Black participants. CONCLUSIONS/INTERPRETATION: NAFLD was associated with a higher risk of type 2 diabetes among White participants but not among Black participants. This finding suggests that the effect of liver fat on impaired glucose metabolism may be smaller in Black than in White individuals.

When is caring sharing? Primary care provider interdependence and continuity of care.

ABSTRACT: Efforts to improve access to high-quality, efficient primary care have highlighted the need for team-based care. Most primary care teams are designed to maintain continuity of care between patients and primary care providers (PCPs), because continuity of care can improve some patient outcomes. However, PCPs are interdependent because they care for, or share, patients. PCP interdependence, and its association with continuity of care, is not well described. This study describes a measure of PCP interdependence. We also evaluate the association between patient and panel characteristics, including PCP interdependence. Our results found that the extent of interdependence between PCPs in the same clinic varies widely. A range of patient and panel characteristics affect continuity of care, including patient complexity and PCP interdependence. These results suggest that continuity of care for complex patients is sensitive to panel characteristics, including PCP interdependence and panel size. This information can be used by primary care organizations for evidence-based team design.