Arsenic Exposure and Predicted 10-Year Atherosclerotic Cardiovascular Risk Using the Pooled Cohort Equations in U.S. Hypertensive Adults.
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SUBMITTER: Nong Q
PROVIDER: S-EPMC5129303 | biostudies-other | 2016 Nov
REPOSITORIES: biostudies-other
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Arsenic Exposure and Predicted 10-Year Atherosclerotic Cardiovascular Risk Using the Pooled Cohort Equations in U.S. Hypertensive Adults.
Nong Qingjiao Q Zhang Yiyi Y Guallar Eliseo E Zhong Qiuan Q
International journal of environmental research and public health 20161107 11
This study was to evaluate the association of urine arsenic with predicted 10-year atherosclerotic cardiovascular disease (ASCVD) risk in U.S. adults with hypertension. Cross-sectional analysis was conducted in 1570 hypertensive adults aged 40-79 years in the 2003-2012 National Health and Nutrition Examination Survey (NHANES) with determinations of urine arsenic. Predicted 10-year ASCVD risk was estimated by the Pooled Cohort Equations, developed by the American College of Cardiology/American He ...[more]
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Project description:ImportanceThe American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort risk equations were developed to estimate atherosclerotic cardiovascular disease (CVD) risk and guide statin initiation.ObjectiveTo assess calibration and discrimination of the Pooled Cohort risk equations in a contemporary US population.Design, setting, and participantsAdults aged 45 to 79 years enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study between January 2003 and October 2007 and followed up through December 2010. We studied participants for whom atherosclerotic CVD risk may trigger a discussion of statin initiation (those without clinical atherosclerotic CVD or diabetes, low-density lipoprotein cholesterol level between 70 and 189 mg/dL, and not taking statins; n = 10,997).Main outcomes and measuresPredicted risk and observed adjudicated atherosclerotic CVD incidence (nonfatal myocardial infarction, coronary heart disease [CHD] death, nonfatal or fatal stroke) at 5 years because REGARDS participants have not been followed up for 10 years. Additional analyses, limited to Medicare beneficiaries (n = 3333), added atherosclerotic CVD events identified in Medicare claims data.ResultsThere were 338 adjudicated events (192 CHD events, 146 strokes). The observed and predicted 5-year atherosclerotic CVD incidence per 1000 person-years for participants with a 10-year predicted atherosclerotic CVD risk of less than 5% was 1.9 (95% CI, 1.3-2.7) and 1.9, respectively, risk of 5% to less than 7.5% was 4.8 (95% CI, 3.4-6.7) and 4.8, risk of 7.5% to less than 10% was 6.1 (95% CI, 4.4-8.6) and 6.9, and risk of 10% or greater was 12.0 (95% CI, 10.6-13.6) and 15.1 (Hosmer-Lemeshow χ2 = 19.9, P = .01). The C index was 0.72 (95% CI, 0.70-0.75). There were 234 atherosclerotic CVD events (120 CHD events, 114 strokes) among Medicare-linked participants and the observed and predicted 5-year atherosclerotic CVD incidence per 1000 person-years for participants with a predicted risk of less than 7.5% was 5.3 (95% CI, 2.8-10.1) and 4.0, respectively, risk of 7.5% to less than 10% was 7.9 (95% CI, 4.6-13.5) and 6.4, and risk of 10% or greater was 17.4 (95% CI, 15.3-19.8) and 16.4 (Hosmer-Lemeshow χ2 = 5.4, P = .71). The C index was 0.67 (95% CI, 0.64-0.71).Conclusions and relevanceIn this cohort of US adults for whom statin initiation is considered based on the ACC/AHA Pooled Cohort risk equations, observed and predicted 5-year atherosclerotic CVD risks were similar, indicating that these risk equations were well calibrated in the population for which they were designed to be used, and demonstrated moderate to good discrimination.
| S-EPMC4189930 | biostudies-literature
Project description:BackgroundThe atherosclerosis cardiovascular disease (ASCVD) Pooled Cohort risk equations have shown different calibration across US populations with varied levels of social deprivation.Methods and resultsWe analyzed the calibration and discrimination of the Pooled Cohort risk equations by social deprivation status among 9066 REGARDS (REasons for Geographic And Racial Differences in Stroke) study participants not taking statins for whom ASCVD risk may lead to statin initiation. Patients were aged 45 to 79 years, had no ASCVD or diabetes mellitus, and had a low-density lipoprotein cholesterol level 70 to 189 mg/dL. Social deprivation was defined using 3 indicators: annual household income <$25 000, less than a high school education, and living without a partner. At baseline in 2003-2007, 54.6%, 27.4%, and 18.0% of participants had 0, 1, and 2 or 3 indicators showing deprivation, respectively. From baseline through December 2012, 457 participants developed ASCVD (nonfatal/fatal stroke, myocardial infarction, or coronary heart disease death). Predicted and observed ASCVD incidence per 1000 person-years were 8.02 and 6.23 (95% CI, 5.31-7.31), respectively, among participants with 0 indicators of deprivation (Hosmer-Lemeshow P=0.01); 8.05 and 6.61 (95% CI, 5.29-8.24), respectively, with 1 indicator (P=0.09); and 9.83 and 11.40 (95% CI, 9.23-14.05), respectively, with 2 or 3 indicators (P=0.12). The C-index (95% CI) was 0.72 (0.69-0.75), 0.73 (0.69-0.78), and 0.70 (0.65-0.75) among participants with 0, 1, and 2 or 3 indicators of deprivation, respectively. The net reclassification improvement after adding deprivation data to the Pooled Cohort risk equations was modest (0.12; 95% CI, 0.03-0.21).ConclusionsThe Pooled Cohort risk equations have good calibration among individuals with social deprivation but overestimate ASCVD risk among those with less social deprivation.
| S-EPMC5524046 | biostudies-literature
Project description:ImportanceObesity is a global health challenge and a risk factor for atherosclerotic cardiovascular disease (ASVCD). Performance of the pooled cohort equations (PCE) for ASCVD risk by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) is unknown.ObjectiveTo assess performance of the PCE across clinical BMI categories.Design, setting, and participantsThis cohort study used pooled individual-level data from 8 community-based, prospective, longitudinal cohort studies with 10-year ASCVD event follow-up from 1996 to 2016. We included all adults ages 40 to 79 years without baseline ASCVD or statin use, resulting in a sample size of 37 311 participants. Data were analyzed from August 2017 to July 2020.ExposuresParticipant BMI category: underweight (<18.5), normal weight (18.5 to <25), overweight (25 to <30), mild obesity (30 to <35), and moderate to severe obesity (≥35).Main outcomes and measuresDiscrimination (Harrell C statistic) and calibration (Nam-D'Agostino χ2 goodness-of-fit test) of the PCE across BMI categories. Improvement in discrimination and net reclassification with addition of BMI, waist circumference, and high-sensitivity C-reactive protein (hsCRP) to the PCE.ResultsAmong 37 311 participants (mean [SD] age, 58.6 [11.8] years; 21 897 [58.7%] women), 380 604 person-years of follow-up were conducted. Mean (SD) baseline BMI was 29.0 (6.2), and 360 individuals (1.0%) were in the underweight category, 9937 individuals (26.6%) were in the normal weight category, 13 601 individuals (36.4%) were in the overweight category, 7783 individuals (20.9%) were in the mild obesity category, and 5630 individuals (15.1%) were in the moderate to severe obesity category. Median (interquartile range [IQR]) 10-year estimated ASCVD risk was 7.1% (2.5%-15.4%), and 3709 individuals (9.9%) developed ASCVD over a median (IQR) 10.8 [8.5-12.6] years. The PCE overestimated ASCVD risk in the overall cohort (estimated/observed [E/O] risk ratio, 1.22; 95% CI, 1.18-1.26) and across all BMI categories except the underweight category. Calibration was better near the clinical decision threshold in all BMI groups but worse among individuals with moderate or severe obesity (E/O risk ratio, 1.36; 95% CI, 1.25-1.47) and among those with the highest estimated ASCVD risk ≥20%. The PCE C statistic overall was 0.760 (95% CI, 0.753-0.767), with lower discrimination in the moderate or severe obesity group (C statistic, 0.742; 95% CI, 0.721-0.763) compared with the normal-range BMI group (C statistic, 0.785; 95% CI, 0.772-0.798). Waist circumference (hazard ratio, 1.07 per 1-SD increase; 95% CI, 1.03-1.11) and hsCRP (hazard ratio, 1.07 per 1-SD increase; 95% CI, 1.05-1.09), but not BMI, were associated with increased ASCVD risk when added to the PCE. However, these factors did not improve model performance (C statistic, 0.760; 95% CI, 0.753-0.767) with or without added metrics.Conclusions and relevanceThese findings suggest that the PCE had acceptable model discrimination and were well calibrated at clinical decision thresholds but overestimated risk of ASCVD for individuals in overweight and obese categories, particularly individuals with high estimated risk. Incorporation of the usual clinical measures of obesity did not improve risk estimation of the PCE. Future research is needed to determine whether incorporation of alternative high-risk obesity markers (eg, weight trajectory or measures of visceral or ectopic fat) into the PCE may improve risk prediction.
| S-EPMC7596579 | biostudies-literature
Project description:IntroductionCardiovascular disease is a leading cause of mortality in the U.S. Although the risk of cardiovascular disease can be mitigated substantially by following a healthy lifestyle, adhering to a healthy diet and other healthy behaviors are limited by reduced food security. This study aims to determine the association between food security and cardiovascular disease risk.MethodsThree samples from the 2007-2014 National Health and Nutrition Examination Survey were examined: (1) 7,340 non-fasting adults (aged 40-79 years); (2) 13,518 non-fasting adults (aged 20-64 years); and (3) 6,494 fasting adults (aged 20-64 years). Food security was assessed using the U.S. Household Food Security Survey Module, with households categorized as having full, marginal, low, or very low food security. Regressions were conducted in 2018 to test the associations between food security status and odds of ≥20% 10-year cardiovascular disease risk among middle-aged to older adults (OR, 95% CI) and cardiovascular disease risk factors among all adults (β, 95% CI).ResultsCompared with adults with full food security, those with very low food security had higher odds of ≥20% 10-year cardiovascular disease risk (OR=2.36, 95% CI=1.25, 4.46), whereas those with marginal food security had higher systolic blood pressure (β=0.94 mmHg, 95% CI=0.09, 1.80). Compared with adults with full food security, adults with different levels of food security had higher BMIs (marginal: 0.76, 95% CI=0.26, 1.26; low: 0.97, 95% CI=0.34, 1.60; and very low: 1.03, 95% CI=0.44, 1.63) and higher odds of current smoking (marginal: OR=1.43, 95% CI=1.17, 1.75; low: OR=1.47, 95% CI=1.22, 1.77; and very low: OR=1.95, 95% CI=1.60, 2.37).ConclusionsAdults with food insecurity have elevated cardiovascular disease risk factors and excess predicted 10-year cardiovascular disease risk. Substantially improving food security may be an important public health intervention to reduce future cardiovascular disease in the U.S.Population
| S-EPMC8011593 | biostudies-literature
Project description:BackgroundThe Framingham risk models and pooled cohort equations (PCE) are widely used and advocated in guidelines for predicting 10-year risk of developing coronary heart disease (CHD) and cardiovascular disease (CVD) in the general population. Over the past few decades, these models have been extensively validated within different populations, which provided mounting evidence that local tailoring is often necessary to obtain accurate predictions. The objective is to systematically review and summarize the predictive performance of three widely advocated cardiovascular risk prediction models (Framingham Wilson 1998, Framingham ATP III 2002 and PCE 2013) in men and women separately, to assess the generalizability of performance across different subgroups and geographical regions, and to determine sources of heterogeneity in the findings across studies.MethodsA search was performed in October 2017 to identify studies investigating the predictive performance of the aforementioned models. Studies were included if they externally validated one or more of the original models in the general population for the same outcome as the original model. We assessed risk of bias for each validation and extracted data on population characteristics and model performance. Performance estimates (observed versus expected (OE) ratio and c-statistic) were summarized using a random effects models and sources of heterogeneity were explored with meta-regression.ResultsThe search identified 1585 studies, of which 38 were included, describing a total of 112 external validations. Results indicate that, on average, all models overestimate the 10-year risk of CHD and CVD (pooled OE ratio ranged from 0.58 (95% CI 0.43-0.73; Wilson men) to 0.79 (95% CI 0.60-0.97; ATP III women)). Overestimation was most pronounced for high-risk individuals and European populations. Further, discriminative performance was better in women for all models. There was considerable heterogeneity in the c-statistic between studies, likely due to differences in population characteristics.ConclusionsThe Framingham Wilson, ATP III and PCE discriminate comparably well but all overestimate the risk of developing CVD, especially in higher risk populations. Because the extent of miscalibration substantially varied across settings, we highly recommend that researchers further explore reasons for overprediction and that the models be updated for specific populations.
| S-EPMC6563379 | biostudies-literature
Project description:Background Assessment of atherosclerotic cardiovascular disease (ASCVD) risk is crucial for prevention and management, but the performance of the pooled cohort equations in older adults with frailty and multimorbidity is unknown. We evaluated the pooled cohort equations in these subgroups and the impact of competing risks. Methods and Results In 4249 community-dwelling adults, aged ≥65 years, from the CHS (Cardiovascular Health Study), we calculated 10-year risk of hard ASCVD. Frailty was determined using the Fried phenotype. Latent class analysis was used to identify individuals with multimorbidity patterns using chronic conditions. We assessed discrimination using the C-statistic and calibration by comparing predicted ASCVD risks with estimated risk using cause-specific and cumulative incidence models, by multimorbidity patterns and frailty status. A total of 917 (21.6%) participants had an ASCVD event, and 706 (16.6%) had a competing event of death. C-statistic was 0.68 in men and 0.69 in women; calibration was good when compared with cause-specific and cumulative incidence estimated risks (males, -0.1% and 3.3%; females, 0.6% and 1.4%). Latent class analysis identified 4 patterns: minimal disease, cardiometabolic, low cognition, musculoskeletal-lung depression. In the cardiometabolic pattern, ASCVD risk was overpredicted compared with cumulative incidence risk in men (7.4%) and women (6.8%). Risk was underpredicted in men (-10.7%) and women (-8.2%) with frailty compared with cause-specific risk. Miscalibration occurred mostly at high predicted risk ranges. Conclusions ASCVD prediction was good in this cohort of adults aged ≥65 years. Although calibration varied by multimorbidity patterns, frailty, and competing risks, miscalibration was mostly present at high predicted risk ranges and thus less likely to alter decision making for primary prevention therapy.
| S-EPMC7727000 | biostudies-literature
Project description:The American College of Cardiology/American Heart Association developed Pooled Cohort equations to estimate atherosclerotic cardiovascular disease (ASCVD) risk. It is unclear how well the equations predict ASCVD mortality in a nationally representative cohort. We used the National Health and Nutrition Examination Survey (NHANES) 1988-1994 and Linked Mortality through 2006 (n = 6,644). Among participants aged 40-79 years without ASCVD at baseline, we used Cox proportional hazard models to estimate the 10-year probability of ASCVD death by sex and race-ethnicity (non-Hispanic white (NHW), non-Hispanic black (NHB) and Mexican American (MA)). We estimated the discrimination and calibration for each sex-race-ethnicity model. We documented 288 ASCVD deaths during 62,335 person years. The Pooled Cohort equations demonstrated moderate to good discrimination for ASCVD mortality, with modified C-statistics of 0.716 (95% CI 0.663-0.770), 0.794 (0.734-0.854), and 0.733 (0.654-0.811) for NHW, NHB and MA men, respectively. The corresponding C-statistics for women were 0.781 (0.718-0.844), 0.702 (0.633-0.771), and 0.789 (CI 0.721-0.857). Modified Hosmer-Lemeshow χ2 suggested adequate calibration for NHW, NHB and MA men, and MA women (p-values: 0.128, 0.295, 0.104 and 0.163 respectively). The calibration was inadequate for NHW and NHB women (p<0.05). In this nationally representative cohort, the Pooled Cohort equations performed adequately to predict 10-year ASCVD mortality for NHW and NHB men, and MA population, but not for NHW and NHB women.
| S-EPMC5398528 | biostudies-literature
Project description:BackgroundSex-specific and race-specific pooled cohort equations (PCEs) are recommended for estimating the 10-year risk of cardiovascular disease, with an absolute risk of more than 7·5% indicating a clinical decision threshold. We compared differences between Black and White individuals in PCE-estimated absolute cardiovascular disease risk across various plausible risk factor combinations with the aim of evaluating if using the PCE might result in different clinical decisions in Black versus White individuals with identical risk profiles.MethodsWe generated in silico patient risk profiles by combining numerical risk factors (age [5-year intervals], total cholesterol [20-mg/dl intervals], HDL cholesterol [5-mg/dl intervals], systolic blood pressure [10-mm Hg intervals]) and binary risk factors (smoking, diabetes, and antihypertensive treatment). We compared PCE-estimated 10-year cardiovascular disease risk in Black versus White individuals with identical risk profiles. We did similar comparisons using eligible participants in the Framingham Heart Study (FHS) third generation cohort and the National Health and Nutrition Examination Survey (NHANES) 2017-18.FindingsFor our in silico analysis, we evaluated 29 515 risk factor combinations for women and 30 565 for men, after excluding profiles that generated 10-year cardiovascular disease risk estimates below 1% or above 30%. There were 6357 risk profiles associated with 10-year cardiovascular disease risk above 7·5% for Black men but not for White men (median risk difference [RD] 6·25%, range 0·15-22·8; median relative risk [RR] 2·40, range 1·02-12·6). There were 391 profiles with 10-year cardiovascular disease risk above 7·5% for White men but not Black men (median RD 2·68%, range 0·07-16·9%; median RR 1·42, range 1·01-3·57). There were 6543 risk profiles associated with 10-year estimated cardiovascular disease risk above 7·5% for Black women but not for White women (median RD 6·14%, range 0·35-26·8%; median RR 2·29, range 1·05-12·6). There were 318 profiles with 10-year cardiovascular disease risk above 7·5% for White women but not Black women (median RD 3·71%, range 0·22-20·1%; median RR 1·66, range 1·03-5·46). For the population-based samples, we calculated the PCE-based 10-year cardiovascular disease risk for 1272 eligible participants (378 women; median age 48 years [IQR 44-52]; 100% White) in the FHS third generation cohort and 550 participants (223 women [36·8% Black] and 327 men [40·4% Black]; median age 61 years [IQR 52-67]) in the NHANES cohort. The population-based samples showed similar risk differences to that of the in silico analyses.InterpretationThe PCE might generate substantially divergent cardiovascular disease risk estimates for Black versus White individuals with identical risk profiles, which could introduce race-related variations in clinical recommendations for cardiovascular disease prevention.FundingUS National Institutes of Health.
| S-EPMC8715354 | biostudies-literature
Project description:There have been significant bidirectional changes in the prevalence of cardiovascular (CV) risk factors over time in the United States, making the net trend in risk for incident CV disease unknown. We assessed these trends by applying the Framingham Heart Study prediction model to national data.The National Health and Nutrition Examination Survey (NHANES) II (1976-1980), NHANES III (1988-1994), and NHANES 1999-2004 are cross-sectional representative samples of the noninstitutionalized population of the United States. We excluded people with a history of CV disease, pregnant women, participants with missing CV risk factors data, and individuals outside the Framingham age range of 30 to 74 years. The Framingham risk function was used to estimate the 10-year risk for incident symptomatic CV disease. We calculated the slope of change or rate of change per year between NHANES II and III, and between NHANES III and 1999-2004. The difference between slopes was calculated and compared to zero. The average age-adjusted 10-year CV risk between NHANES II and III decreased from 10.0% to 7.9% between NHANES II and III, with a statistically significant slope (P<0.001). However, the average age-adjusted CV risk decreased at a lesser magnitude between NHANES III and NHANES 1999-2004 from 7.9% to 7.4% (P<0.001). These slopes were significantly different (P<0.0001). In women and middle-aged participants, CV risk did not change between NHANES III and NHANES 1999-2004 (P=0.40).The estimated net risk for CV disease in the US population decreased from 1976-1980 to 1988-1994 but has changed minimally from 1988-1994 to 1999-2004, particularly in women and middle-aged people.
| S-EPMC2779550 | biostudies-literature
Project description:BackgroundLong-term changes in cardiovascular disease (CVD) risk after bariatric surgery are not well characterized.ObjectiveTo report sex-specific changes in CVD risk after Roux-en-Y gastric bypass surgery (RYGB).SettingObservational cohort study at ten hospitals throughout the United States.MethodsBetween 2006 and 2009, 1770 adults enrolled in a prospective cohort study underwent RYGB at 1 of 10 U.S. hospitals. Research assessments were conducted presurgery and annually postsurgery over 7 years. Sex specific-predicted 10-year and lifetime CVD risk were calculated using the Framingham10-year and lifetime risk scores, Framingham-body mass index, and atherosclerotic CVD scoring algorithms among participants with no history of CVD. Of 1566 eligible participants, 1234 (75.9%) with CVD risk determination pre- and postsurgery were included (1013 females, 221 males).ResultsBased on the Framingham10-year and lifetime risk scores, the percentage of females with predicted high (>20%) 10-year CVD risk declined from presurgery (6.5% [95% confidence interval: 6.7-7.5]) to 1 year postsurgery (1.0% [95% confidence interval: .8-1.2]; P < .001), then increased 1 to 7 years postsurgery (to 2.8% [95% confidence interval: 1.6-3.3]; P = .003), but was lower 7 years postsurgery versus presurgery (P < .001). Time trends for percentage of high-risk participants and mean CVD risk scores were similar for both sexes and other evaluated CVD risk scores. For example, among males mean lifetime atherosclerotic CVD score declined from presurgery to 1 year postsurgery, then increased 1 to 7 years postsurgery. However, there was a net decline from presurgery (P < .001).ConclusionAmong both females and males, predicted 10-year and lifetime CVD risk was substantially lower 7 years post RYGB than presurgery, suggesting RYGB surgery can lead to sustained improvements in short- and long-term CVD risk.
| S-EPMC7423710 | biostudies-literature