Graphical Abstract
Graphical Abstract
Traditional atherosclerotic cardiovascular disease (ASCVD) risk factor measurement in young adulthood can predict midlife ASCVD risk.
CARDIOVASCULAR DISEASE IN HIV Post, Wendy S
Transactions of the American Clinical and Climatological Association,
2022, Volume:
132
Journal Article
People living with HIV are at increased risk for cardiovascular disease. This report summarizes our work demonstrating associations between HIV and multiple subclinical markers of cardiovascular ...disease risk. Some of this risk appears to be related to heightened immune activation and system inflammation that is present in people living with HIV even when there is an undetectable viral load.
Plasma low-density lipoprotein cholesterol (LDL-C) has been associated with aortic stenosis in observational studies; however, randomized trials with cholesterol-lowering therapies in individuals ...with established valve disease have failed to demonstrate reduced disease progression.
To evaluate whether genetic data are consistent with an association between LDL-C, high-density lipoprotein cholesterol (HDL-C), or triglycerides (TG) and aortic valve disease.
Using a Mendelian randomization study design, we evaluated whether weighted genetic risk scores (GRSs), a measure of the genetic predisposition to elevations in plasma lipids, constructed using single-nucleotide polymorphisms identified in genome-wide association studies for plasma lipids, were associated with aortic valve disease. We included community-based cohorts participating in the CHARGE consortium (n = 6942), including the Framingham Heart Study (cohort inception to last follow-up: 1971-2013; n = 1295), Multi-Ethnic Study of Atherosclerosis (2000-2012; n = 2527), Age Gene/Environment Study-Reykjavik (2000-2012; n = 3120), and the Malmö Diet and Cancer Study (MDCS, 1991-2010; n = 28,461).
Aortic valve calcium quantified by computed tomography in CHARGE and incident aortic stenosis in the MDCS.
The prevalence of aortic valve calcium across the 3 CHARGE cohorts was 32% (n = 2245). In the MDCS, over a median follow-up time of 16.1 years, aortic stenosis developed in 17 per 1000 participants (n = 473) and aortic valve replacement for aortic stenosis occurred in 7 per 1000 (n = 205). Plasma LDL-C, but not HDL-C or TG, was significantly associated with incident aortic stenosis (hazard ratio HR per mmol/L, 1.28; 95% CI, 1.04-1.57; P = .02; aortic stenosis incidence: 1.3% and 2.4% in lowest and highest LDL-C quartiles, respectively). The LDL-C GRS, but not HDL-C or TG GRS, was significantly associated with presence of aortic valve calcium in CHARGE (odds ratio OR per GRS increment, 1.38; 95% CI, 1.09-1.74; P = .007) and with incident aortic stenosis in MDCS (HR per GRS increment, 2.78; 95% CI, 1.22-6.37; P = .02; aortic stenosis incidence: 1.9% and 2.6% in lowest and highest GRS quartiles, respectively). In sensitivity analyses excluding variants weakly associated with HDL-C or TG, the LDL-C GRS remained associated with aortic valve calcium (P = .03) and aortic stenosis (P = .009). In instrumental variable analysis, LDL-C was associated with an increase in the risk of incident aortic stenosis (HR per mmol/L, 1.51; 95% CI, 1.07-2.14; P = .02).
Genetic predisposition to elevated LDL-C was associated with presence of aortic valve calcium and incidence of aortic stenosis, providing evidence supportive of a causal association between LDL-C and aortic valve disease. Whether earlier intervention to reduce LDL-C could prevent aortic valve disease merits further investigation.
The burden and presentation of post-acute sequela of SARS-CoV-2 infection (PASC) are a developing major public health concern.
To characterize the burden of PASC in community-dwelling individuals and ...understand the experiences of people living with PASC.
This mixed-methods study of COVID-19 positive community-dwelling persons involved surveys and in-depth interviews. Main outcome was self-report of possible PASC symptoms 3 weeks or longer after positive COVID-19 test. In-depth interviews were guided by a semi-structured interview guide with open-ended questions and probes based on emerging literature on PASC and the impact of COVID-19.
With a survey response rate of 70%, 442 participants were included in this analysis, mean (SD) age 45.4 (16.2) years, 71% female, 12% Black/African American. Compared to those with no PASC symptoms, persons who reported PASC symptoms were more likely to be older (mean age: 46.5 vs. 42; p = 0.013), female (74.3% vs. 61.2%; p = 0.010), to have pre-existing conditions (49.6% vs. 34%; p = 0.005), and to have been hospitalized for COVID-19 (14.2% vs. 2.9%; p = 0.002). About 30% of the participants experienced severe fatigue; the proportion of persons reporting severe fatigue was 7-fold greater in those with PASC symptoms (Adjusted Prevalence Ratio aPR 6.73, 95%CI: 2.80-16.18). Persons with PASC symptoms were more likely to report poor quality of life (16% vs. 5%, p<0.001) and worse mental health functioning (Mean difference: -1.87 95%CI: -2.38, -1.37, p<0.001). Themes from in-depth interviews revealed PASC was experienced as debilitating.
In this study, the prevalence of PASC among community-dwelling adults was substantial. Participants reported considerable coping difficulties, restrictions in everyday activities, invisibility of symptoms and experiences, and impediments to getting and receiving PASC care.
Knowledge gaps remain in the epidemiology and clinical implications of myocardial injury in coronavirus disease 2019 (COVID-19). We aimed to determine the prevalence and outcomes of myocardial injury ...in severe COVID-19 compared with acute respiratory distress syndrome (ARDS) unrelated to COVID-19.
We included intubated patients with COVID-19 from 5 hospitals between March 15 and June 11, 2020, with troponin levels assessed. We compared them with patients from a cohort study of myocardial injury in ARDS and performed survival analysis with primary outcome of in-hospital death associated with myocardial injury. In addition, we performed linear regression to identify clinical factors associated with myocardial injury in COVID-19.
Of 243 intubated patients with COVID-19, 51% had troponin levels above the upper limit of normal. Chronic kidney disease, lactate, ferritin, and fibrinogen were associated with myocardial injury. Mortality was 22.7% among patients with COVID-19 with troponin under the upper limit of normal and 61.5% for those with troponin levels >10 times the upper limit of normal (
<0.001). The association of myocardial injury with mortality was not statistically significant after adjusting for age, sex, and multisystem organ dysfunction. Compared with patients with ARDS without COVID-19, patients with COVID-19 were older and had higher creatinine levels and less favorable vital signs. After adjustment, COVID-19-related ARDS was associated with lower odds of myocardial injury compared with non-COVID-19-related ARDS (odds ratio, 0.55 95% CI, 0.36-0.84;
=0.005).
Myocardial injury in severe COVID-19 is a function of baseline comorbidities, advanced age, and multisystem organ dysfunction, similar to traditional ARDS. The adverse prognosis of myocardial injury in COVID-19 relates largely to multisystem organ involvement and critical illness.
Several studies have demonstrated the tremendous potential of using coronary artery calcium (CAC) in addition to traditional risk factors for coronary heart disease (CHD) risk prediction. However, to ...date, no risk score incorporating CAC has been developed.
The goal of this study was to derive and validate a novel risk score to estimate 10-year CHD risk using CAC and traditional risk factors.
Algorithm development was conducted in the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective community-based cohort study of 6,814 participants age 45 to 84 years, who were free of clinical heart disease at baseline and followed for 10 years. MESA is sex balanced and included 39% non-Hispanic whites, 12% Chinese Americans, 28% African Americans, and 22% Hispanic Americans. External validation was conducted in the HNR (Heinz Nixdorf Recall Study) and the DHS (Dallas Heart Study).
Inclusion of CAC in the MESA risk score offered significant improvements in risk prediction (C-statistic 0.80 vs. 0.75; p < 0.0001). External validation in both the HNR and DHS studies provided evidence of very good discrimination and calibration. Harrell's C-statistic was 0.779 in HNR and 0.816 in DHS. Additionally, the difference in estimated 10-year risk between events and nonevents was approximately 8% to 9%, indicating excellent discrimination. Mean calibration, or calibration-in-the-large, was excellent for both studies, with average predicted 10-year risk within one-half of a percent of the observed event rate.
An accurate estimate of 10-year CHD risk can be obtained using traditional risk factors and CAC. The MESA risk score, which is available online on the MESA web site for easy use, can be used to aid clinicians when communicating risk to patients and when determining risk-based treatment strategies.
This review seeks to provide important information on each of the major domains of social determinants of health (SDOH) in the context of atherosclerotic cardiovascular disease.PURPOSE OF REVIEWThis ...review seeks to provide important information on each of the major domains of social determinants of health (SDOH) in the context of atherosclerotic cardiovascular disease.SDOH can be classified into five domains: social and community context, health care access and quality, neighborhood and built environment, economic stability, and education access and quality. SDOH are major drivers for cardiovascular health outcomes that exceed the impact from traditional risk factors, and explain inequities in health outcomes observed across different groups of individuals. SDOH profoundly impacts healthcare's receipt, delivery, and outcomes. Many patients fall within various disenfranchised groups (e.g., identify with minority race, low socioeconomic status, low educational attainment, LGBTQ+), which impact overall health status and care. Learning to understand, recognize, and address SDOH as the driving force of disparities are critical for achieving health equity in the prevention and adequate treatment of ASCVD.RECENT FINDINGSSDOH can be classified into five domains: social and community context, health care access and quality, neighborhood and built environment, economic stability, and education access and quality. SDOH are major drivers for cardiovascular health outcomes that exceed the impact from traditional risk factors, and explain inequities in health outcomes observed across different groups of individuals. SDOH profoundly impacts healthcare's receipt, delivery, and outcomes. Many patients fall within various disenfranchised groups (e.g., identify with minority race, low socioeconomic status, low educational attainment, LGBTQ+), which impact overall health status and care. Learning to understand, recognize, and address SDOH as the driving force of disparities are critical for achieving health equity in the prevention and adequate treatment of ASCVD.
Presence of coronary artery calcium (CAC), carotid plaque, and increased carotid intima-media thickness (IMT) may indicate elevated cardiovascular disease (CVD) risk; however, no large studies have ...compared them directly. This study compares predictive uses of CAC presence, carotid artery plaque presence, and high IMT for incident CVD events.
Participants were from the Multi-Ethnic Study of Atherosclerosis (MESA). Predictive values of carotid plaque, IMT, and CAC presence were compared using Cox proportional hazards models, c-statistics, and net reclassification indices. The 6779 participants were mean (SD) 62.2 (10.2) years old; 49.9% had CAC, and 46.7% had carotid plaque. The mean left and right IMT were 0.754 (0.210) mm and 0.751 (0.187) mm, respectively. After 9.5 years (mean), 538 CVD events, 388 coronary heart disease (CHD) events, and 196 stroke/transient ischemic attacks were observed. CAC presence was a stronger predictor of incident CVD and CHD than carotid ultrasound measures. Mean IMT≥75th percentile (for age, sex, and race) alone did not predict events. Compared with traditional risk factors, c-statistics for CVD (c=0.756) and CHD (c=0.752) increased the most by the addition of CAC presence (CVD, 0.776; CHD, 0.784; P<0.001) followed by carotid plaque presence (CVD, c=0.760; CHD, c=0.757; P<0.05). Compared with risk factors (c=0.782), carotid plaque presence (c=0.787; P=0.045) but not CAC (c=0.785; P=0.438) improved prediction of stroke/transient ischemic attacks.
In adults without CVD, CAC presence improves prediction of CVD and CHD more than carotid plaque presence or high IMT. CAC and carotid ultrasound parameters performed similarly for stroke/transient ischemic attack event prediction.
Normal values for FEV
and FVC are currently calculated using cross-sectional reference equations that include terms for race/ethnicity, an approach that may reinforce disparities and is of unclear ...clinical benefit.
To determine whether race/ethnicity-based spirometry reference equations improve the prediction of incident chronic lower respiratory disease (CLRD) events and mortality compared with race/ethnicity-neutral equations.
The MESA Lung Study, a population-based, prospective cohort study of White, Black, Hispanic, and Asian adults, performed standardized spirometry from 2004 to 2006. Predicted values for spirometry were calculated using race/ethnicity-based equations following guidelines and, alternatively, race/ethnicity-neutral equations without terms for race/ethnicity. Participants were followed for events through 2019.
The mean age of 3,344 participants was 65 years, and self-reported race/ethnicity was 36% White, 25% Black, 23% Hispanic, and 17% Asian. There were 181 incident CLRD-related events and 547 deaths over a median of 11.6 years. There was no evidence that percentage predicted FEV
or FVC calculated using race/ethnicity-based equations improved the prediction of CLRD-related events compared with those calculated using race/ethnicity-neutral equations (difference in C statistics for FEV
, -0.005; 95% confidence interval CI, -0.013 to 0.003; difference in C statistic for FVC, -0.008; 95% CI, -0.016 to -0.0006). Findings were similar for mortality (difference in C statistics for FEV
, -0.002; 95% CI, -0.008 to 0.003; difference in C statistics for FVC, -0.004; 95% CI, -0.009 to 0.001).
There was no evidence that race/ethnicity-based spirometry reference equations improved the prediction of clinical events compared with race/ethnicity-neutral equations. The inclusion of race/ethnicity in spirometry reference equations should be reconsidered.
PDF
