Is Home Blood Pressure Monitoring Effective at Controlling Hypertension in African American Patients? A Clin-IQ.

African Americans are disproportionately affected by hypertension, a modifiable contributor to multiple chronic diseases and premature death. Primary care physicians play an important role in hypertension control. Home blood pressure monitoring (HBPM) is an evidence-based method for confirming diagnosis and monitoring hypertension over time. Some studies have found that HBPM may lead to clinically relevant reductions in blood pressure when combined with additional interventions, but few studies have focused specifically on African American populations. Evidence of effectiveness could increase clinical recommendation of HBPM. This clinical inquiry examined whether HBPM improves blood pressure control in African Americans with uncontrolled hypertension. Reviewed studies included 4 randomized controlled trials and 2 comparative research studies. Because these studies often were coupled with various co-interventions, ascertaining the independent effects of HBPM was difficult. When examining reviews of HBPM without a co-intervention and conducted independent of race, HBPM alone was insufficient to achieve long-term changes in hypertension control. More research focused on African Americans, with use of control groups, is needed to determine the true role for HBPM in controlling hypertension in this at-risk patient population.

Use of CRRT and Plasmapheresis to Treat Simultaneous Iron and Acetaminophen Overdose.

There is limited information about the prevalence and treatment of concurrent acetaminophen and iron overdose. One case study has suggested that this combination may be lethal. We present a case of fatal intentional acetaminophen and iron overdose and treatment with extracorporeal methods, including continuous venovenous hemofiltration and plasmapheresis, for removal of both toxins.

Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association.

OBJECTIVES: Traditional Doppler measures have been used to predict cognitive performance in patients with carotid atherosclerosis. Novel measures, such as carotid plaque strain indices (CPSIs), have shown associations with cognitive performance. We hypothesized that lower mean middle cerebral artery (MCA) velocities, higher bulb-internal carotid artery (ICA) velocities, the MCA pulsatility index (PI), and CPSIs would be associated with poorer cognitive performance in individuals with advanced atherosclerosis. METHODS: Neurocognitive testing, carotid ultrasound imaging, transcranial Doppler imaging, and carotid strain imaging were performed on 40 patients scheduled for carotid endarterectomy. Kendall tau correlations were used to examine relationships between cognitive tests and the surgical-side maximum peak systolic velocity (PSV; from the bulb, proximal, mid, or distal ICA), mean MCA velocity and PI, and maximum CPSIs (axial, lateral, and shear strain indices used to characterize plaque deformations with arterial pulsation). Cognitive measures included age-adjusted indices of verbal fluency, verbal and visual learning/memory, psychomotor speed, auditory attention/working memory, visuospatial construction, and mental flexibility. RESULTS: Participants had a median age of 71.0 (interquartile range, 9.75) years; 26 were male (65%), and 14 were female (35%). Traditional Doppler parameters, PSV, mean MCA velocity, and MCA PI did not predict cognitive performance (all P > .05). Maximum CPSIs were significantly associated with cognitive performance (P < .05). CONCLUSIONS: Traditional velocity measurements of the maximum bulb-ICA PSV, mean MCA velocity, and PI were not associated with cognitive performance in patients with advanced atherosclerotic disease; however, maximum CPSIs were associated with cognitive performance. These findings suggest that cognition may be associated with unstable plaque rather than blood flow.

Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study.

Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease ( CVD ) risk factors and could predict CVD events. Methods and Results Using a case-cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi-Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C-reactive protein were used to determine if standardized values for grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment could predict incident coronary heart disease, stroke, and total CVD events over a median 13 years follow-up. Participants were mean ( SD ) 63.1 (10.3) years of age, 52.6% female, 32.1% white, 27.8% black, 23.3% Hispanic, and 16.8% Chinese. There were 283 coronary heart disease, 120 stroke, and 416 CVD events. Several associations of grayscale features with CVD risk factors were identified. In fully adjusted models, higher gray level difference statistic-contrast was associated with a lower risk of incident coronary heart disease (hazard ratio 0.82, 95% CI 0.71-0.94, padj=0.005) and CVD events (hazard ratio 0.87, 95% CI 0.77-0.98, padj=0.018); higher spatial gray level dependence matrices-angular second moment was associated with a higher risk of CVD events (hazard ratio 1.09, 95% CI 1.00-1.19, padj=0.044). Conclusions Gray level difference statistic-contrast and spatial gray level dependence matrices-angular second moment predicted CVD events independent of risk factors, indicating their potential use as biomarkers to assess future CVD risk.