@article {6071, title = {Cardiomyocyte injury assessed by a highly sensitive troponin assay and sudden cardiac death in the community: the Cardiovascular Health Study.}, journal = {J Am Coll Cardiol}, volume = {62}, year = {2013}, month = {2013 Dec 03}, pages = {2112-20}, abstract = {

OBJECTIVES: This study sought to determine the association between markers of cardiomyocyte injury in ambulatory subjects and sudden cardiac death (SCD).

BACKGROUND: The pathophysiology of SCD is complex but is believed to be associated with an abnormal cardiac substrate in most cases. The association between biomarkers of cardiomyocyte injury in ambulatory subjects and SCD has not been investigated.

METHODS: Levels of cardiac troponin T, a biomarker of cardiomyocyte injury, were measured by a highly sensitive assay (hsTnT) in 4,431 ambulatory participants in the Cardiovascular Health Study, a longitudinal community-based prospective cohort study. Serial measures were obtained in 3,089 subjects. All deaths, including SCD, were adjudicated by a central events committee.

RESULTS: Over a median follow-up of 13.1 years, 246 participants had SCD. Baseline levels of hsTnT were significantly associated with SCD (hazard ratio [HR] for +1 log(hsTnT): 2.04, 95\% confidence interval [CI]: 1.78 to 2.34]. This association persisted in covariate-adjusted Cox analyses accounting for baseline risk factors (HR: 1.30, 95\% CI: 1.05 to 1.62), as well as for incident heart failure and myocardial infarction (HR: 1.26, 95\% CI: 1.01 to 1.57). The population was also categorized into 3 groups based on baseline hsTnT levels and SCD risk [fully adjusted HR: 1.89 vs. 1.55 vs. 1 (reference group) for hsTnT >=12.10 vs. 5.01 to 12.09 vs. <= 5.00 pg/ml, respectively; p trend = 0.005]. On serial measurements, change in hsTnT levels was also associated with SCD risk (fully adjusted HR for +1 pg/ml per year increase from baseline: 1.03, 95\% CI: 1.01 to 1.06).

CONCLUSIONS: The findings suggest an association between cardiomyocyte injury in ambulatory subjects and SCD risk beyond that of traditional risk factors.

}, keywords = {Aged, Ambulatory Care, Biomarkers, Death, Sudden, Cardiac, Female, Heart Arrest, Humans, Longitudinal Studies, Male, Middle Aged, Myocardium, Myocytes, Cardiac, Proportional Hazards Models, Risk Assessment, Troponin T}, issn = {1558-3597}, doi = {10.1016/j.jacc.2013.07.049}, author = {Hussein, Ayman A and Gottdiener, John S and Bartz, Traci M and Sotoodehnia, Nona and DeFilippi, Christopher and Dickfeld, Timm and Deo, Rajat and Siscovick, David and Stein, Phyllis K and Lloyd-Jones, Donald} } @article {5993, title = {Inflammation and sudden cardiac death in a community-based population of older adults: the Cardiovascular Health Study.}, journal = {Heart Rhythm}, volume = {10}, year = {2013}, month = {2013 Oct}, pages = {1425-32}, abstract = {

BACKGROUND: Inflammation is linked to adverse cardiovascular events, but its association with sudden cardiac death (SCD) has been controversial. Older subjects, who are at particular risk for SCD, were underrepresented in previous studies addressing this issue.

OBJECTIVE: The purpose of this study was to study the association between inflammation and SCD in a community-based population of older adults.

METHODS: In the Cardiovascular Health Study, 5806 and 5382 participants had measurements of C-reactive protein (CRP) and interleukin-6 (IL6), respectively, and were followed for up to 17 years. SCD risk as a function of baseline IL-6 and CRP was assessed in the overall population and in a group of participants without known prevalent cardiac disease.

RESULTS: In univariate analyses, both IL-6 (hazard ratio [HR] 1.79 for 1+ log IL-6, 95\% confidence interval [CI] 1.50-2.13; 5th vs 1st quintile HR 3.36, 95\% CI 2.24-5.05) and CRP (HR 1.31 for 1+ log CRP, 95\% CI 1.18-1.45; 5th vs 1st quintile HR 2.00, 95\% CI 1.40-2.87) were associated with SCD risk. In covariate-adjusted analyses, accounting for baseline risk factors, incident myocardial infarction, and heart failure, the association with SCD risk persisted for IL-6 (HR 1.26 for 1+ log IL-6, 95\% CI 1.02-1.56; 5th vs 1st quintile HR 1.63, 95\% CI 1.03-2.56) but was significantly attenuated for CRP (HR 1.13 for 1+ log CRP, 95\% CI 1.00-1.28; 5th vs 1st quintile HR 1.34, 95\% CI 0.88-2.05). Similar findings were observed in participants without prevalent cardiac disease.

CONCLUSION: Greater burden of inflammation, assessed by IL-6 levels, is associated with SCD risk beyond traditional risk factors, incident myocardial infarction, and heart failure.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Biomarkers, C-Reactive Protein, Case-Control Studies, Cohort Studies, Death, Sudden, Cardiac, Female, Humans, Inflammation, Interleukin-6, Male, Risk Factors}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2013.07.004}, author = {Hussein, Ayman A and Gottdiener, John S and Bartz, Traci M and Sotoodehnia, Nona and DeFilippi, Christopher and See, Vincent and Deo, Rajat and Siscovick, David and Stein, Phyllis K and Lloyd-Jones, Donald} } @article {5845, title = {Insulin resistance and risk of incident heart failure: Cardiovascular Health Study.}, journal = {Circ Heart Fail}, volume = {6}, year = {2013}, month = {2013 May}, pages = {364-70}, abstract = {

BACKGROUND: Patients with heart failure (HF) have higher fasting insulin levels and a higher prevalence of insulin resistance as compared with matched controls. Insulin resistance leads to structural abnormalities in the heart, such as increased left atrial size, left ventricular mass, and alterations in transmitral velocity that can precede the diagnosis of HF. It is not known whether insulin resistance precedes the development of HF or whether the relationship between insulin resistance and HF is present among adults with HF caused by nonischemic heart disease.

METHODS AND RESULTS: We examined 4425 participants (60\% women) from the Cardiovascular Health Study after excluding those with HF, myocardial infarction, or treated diabetes mellitus at baseline. We used Cox proportional hazards models to estimate the relative risk of incident HF associated with fasting insulin measured at study entry. There were 1216 cases of incident HF (1103 without antecedent myocardial infarction) during a median follow-up of 12 years (maximum, 19 years). Fasting insulin levels were positively associated with the risk of incident HF (hazard ratio, 1.10; 95\% confidence interval, 1.05-1.15, per SD change) when adjusted for age, sex, race, field center, physical activity, smoking, alcohol intake, high-density lipoprotein-cholesterol, total cholesterol, systolic blood pressure, and waist circumference. The association between fasting insulin levels and incident HF was similar for HF without antecedent myocardial infarction (hazard ratio, 1.10; 95\% confidence interval, 1.05-1.15). Measures of left atrial size, left ventricular mass, and peak A velocity at baseline were associated both with fasting insulin levels and with HF; however, additional statistical adjustment for these parameters did not completely attenuate the insulin-HF estimate (hazard ratio, 1.08; 95\% confidence interval, 1.03-1.14 per 1-SD increase in fasting insulin).

CONCLUSIONS: Fasting insulin was positively associated with adverse echocardiographic features and risk of subsequent HF in Cardiovascular Health Study participants, including those without an antecedent myocardial infarction.

CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00005133.

}, keywords = {Aged, Female, Heart Atria, Heart Failure, Heart Ventricles, Humans, Incidence, Insulin, Insulin Resistance, Male, Middle Aged, Myocardial Infarction, Organ Size, Proportional Hazards Models, Prospective Studies}, issn = {1941-3297}, doi = {10.1161/CIRCHEARTFAILURE.112.000022}, author = {Banerjee, Dipanjan and Biggs, Mary L and Mercer, Laina and Mukamal, Kenneth and Kaplan, Robert and Barzilay, Joshua and Kuller, Lewis and Kizer, Jorge R and Djouss{\'e}, Luc and Tracy, Russell and Zieman, Susan and Lloyd-Jones, Donald and Siscovick, David and Carnethon, Mercedes} } @article {6702, title = {Serial measures of cardiac troponin T levels by a highly sensitive assay and incident atrial fibrillation in a prospective cohort of ambulatory older adults.}, journal = {Heart Rhythm}, volume = {12}, year = {2015}, month = {2015 May}, pages = {879-85}, abstract = {

BACKGROUND: Various mechanisms in cardiac remodeling related to atrial fibrillation (AF) lead to elevated circulating cardiac troponin levels, but little is known about such elevations upstream to AF onset.

OBJECTIVE: The purpose of this study was to study the association between circulating troponin levels as assessed by a highly sensitive cardiac troponin T (hs-cTnT) assay and incident atrial fibrillation (AF).

METHODS: In a large prospective cohort of ambulatory older adults [the Cardiovascular Health Study (CHS)], hs-cTnT levels were measured in sera that were collected at enrollment from 4262 participants without AF (2871 with follow-up measurements). Incident AF was identified by electrocardiograms during CHS visits, hospital discharge diagnoses, and Medicare files, including outpatient and physician claims diagnoses.

RESULTS: Over median follow-up of 11.2 years (interquartile range 6.1-16.5), 1363 participants (32.0\%) developed AF. Higher baseline levels of hs-cTnT were associated with incident AF in covariate-adjusted analyses accounting for demographics, traditional risk factors, and incident heart failure in time-dependent analyzes (hazard ratio for 3rd tertile vs undetectable 1.75, 95\% confidence interval 1.48-2.08). This association was statistically significant in analyses that additionally adjusted for biomarkers of inflammation and hemodynamic strain (hazard ratio for 3rd tertile vs undetectable 1.38, 95\% confidence interval 1.16-1.65). Significant associations were also found when hs-cTnT levels were treated as a continuous variable and when examining change from baseline of hs-cTnT levels and incident AF.

CONCLUSION: The findings show a significant association of circulating troponin levels in ambulatory older adults with incident AF beyond that of traditional risk factors, incident heart failure, and biomarkers of inflammation and hemodynamic strain.

}, keywords = {Aged, Atrial Fibrillation, Biomarkers, Electrocardiography, Female, Heart Failure, Humans, Incidence, Longitudinal Studies, Male, Outpatients, Risk Assessment, Risk Factors, Statistics as Topic, Troponin T, United States}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2015.01.020}, author = {Hussein, Ayman A and Bartz, Traci M and Gottdiener, John S and Sotoodehnia, Nona and Heckbert, Susan R and Lloyd-Jones, Donald and Kizer, Jorge R and Christenson, Robert and Wazni, Oussama and DeFilippi, Christopher} } @article {7442, title = {Association of Coronary Artery Calcium Score vs Age With Cardiovascular Risk in Older Adults: An Analysis of Pooled Population-Based Studies.}, journal = {JAMA Cardiol}, year = {2017}, month = {2017 Jul 26}, abstract = {

Importance: Besides age, other discriminators of atherosclerotic cardiovascular disease (ASCVD) risk are needed in older adults.

Objectives: To examine the predictive ability of coronary artery calcium (CAC) score vs age for incident ASCVD and how risk prediction changes by adding CAC score and removing only age from prediction models.

Design, Setting, and Participants: We conducted an analysis of pooled US population-based studies, including the Framingham Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the Cardiovascular Health Study. Results were compared with 2 European cohorts, the Rotterdam Study and the Heinz Nixdorf Recall Study. Participants underwent CAC scoring between 1998 and 2006 using cardiac computed tomography. The participants included adults older than 60 years without known ASCVD at baseline.

Exposures: Coronary artery calcium scores.

Main Outcomes and Measures: Incident ASCVD events including coronary heart disease (CHD) and stroke.

Results: The study included 4778 participants from 3 US cohorts, with a mean age of 70.1 years; 2582 (54.0\%) were women, and 2431 (50.9\%) were nonwhite. Over 11 years of follow-up (44 152 person-years), 405 CHD and 228 stroke events occurred. Coronary artery calcium score (vs age) had a greater association with incident CHD (C statistic, 0.733 vs 0.690; C statistics difference, 0.043; 95\% CI of difference, 0.009-0.075) and modestly improved prediction of incident stroke (C statistic, 0.695 vs 0.670; C statistics difference, 0.025; 95\% CI of difference, -0.015 to 0.064). Adding CAC score to models including traditional cardiovascular risk factors, with only age being removed, provided improved discrimination for incident CHD (C statistic, 0.735 vs 0.703; C statistics difference, 0.032; 95\% CI of difference, 0.002-0.062) but not for stroke. Coronary artery calcium score was more likely than age to provide higher category-free net reclassification improvement among participants who experienced an ASCVD event (0.390; 95\% CI, 0.312-0.467 vs 0.08; 95\% CI -0.001 to 0.181) and to result in more accurate reclassification of risk for ASCVD events among these individuals. The findings were similar in the 2 European cohorts (n = 4990).

Conclusions and Relevance: Coronary artery calcium may be an alternative marker besides age to better discriminate between lower and higher CHD risk in older adults. Whether CAC score can assist in guiding the decision to initiate statin treatment for primary prevention in older adults requires further investigation.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2017.2498}, author = {Yano, Yuichiro and O{\textquoteright}Donnell, Christopher J and Kuller, Lewis and Kavousi, Maryam and Erbel, Raimund and Ning, Hongyan and D{\textquoteright}Agostino, Ralph and Newman, Anne B and Nasir, Khurram and Hofman, Albert and Lehmann, Nils and Dhana, Klodian and Blankstein, Ron and Hoffmann, Udo and M{\"o}hlenkamp, Stefan and Massaro, Joseph M and Mahabadi, Amir-Abbas and Lima, Jo{\~a}o A C and Ikram, M Arfan and J{\"o}ckel, Karl-Heinz and Franco, Oscar H and Liu, Kiang and Lloyd-Jones, Donald and Greenland, Philip} } @article {8511, title = {Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans.}, journal = {Mol Genet Genomic Med}, volume = {7}, year = {2019}, month = {2019 10}, pages = {e00788}, abstract = {

BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43\% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography.

METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)-by-drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community-based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE-Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta-analyses of main effects of drugs and 2.5~million SNP-by-drug interaction estimates.

RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p~=~0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE-Is with consistent effects across cohorts (smallest p~=~4.7~{\texttimes}~10 , minor allele frequency range 0.09-0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population.

CONCLUSIONS: Our study identified one locus having genome-wide significant SNP-by-drug interaction effect on RWT among dCCB users in comparison to ACE-I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment.

}, keywords = {African Americans, Angiotensin-Converting Enzyme Inhibitors, Antihypertensive Agents, Calcium Channel Blockers, Humans, Observational Studies as Topic, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Sodium Chloride Symporter Inhibitors, Ventricular Dysfunction, Left}, issn = {2324-9269}, doi = {10.1002/mgg3.788}, author = {Do, Anh N and Zhao, Wei and Baldridge, Abigail S and Raffield, Laura M and Wiggins, Kerri L and Shah, Sanjiv J and Aslibekyan, Stella and Tiwari, Hemant K and Limdi, Nita and Zhi, Degui and Sitlani, Colleen M and Taylor, Kent D and Psaty, Bruce M and Sotoodehnia, Nona and Brody, Jennifer A and Rasmussen-Torvik, Laura J and Lloyd-Jones, Donald and Lange, Leslie A and Wilson, James G and Smith, Jennifer A and Kardia, Sharon L R and Mosley, Thomas H and Vasan, Ramachandran S and Arnett, Donna K and Irvin, Marguerite R} } @article {9156, title = {Pooled Cohort Probability Score for Subclinical Airflow Obstruction.}, journal = {Ann Am Thorac Soc}, volume = {19}, year = {2022}, month = {2022 08}, pages = {1294-1304}, abstract = {

Early detection of chronic obstructive pulmonary disease (COPD) is a public health priority. Airflow obstruction is the single most important risk factor for adverse COPD outcomes, but spirometry is not routinely recommended for screening. To describe the burden of subclinical airflow obstruction (SAO) and to develop a probability score for SAO to inform potential detection and prevention programs. Lung function and clinical data were harmonized and pooled across nine U.S. general population cohorts. Adults with respiratory symptoms, inhaler use, or prior diagnosis of COPD or asthma were excluded. A probability score for prevalent SAO (forced expiratory volume in 1 second/forced vital capacity < 0.70) was developed via hierarchical group-lasso regularization from clinical variables in strata of sex and smoking status, and its discriminative accuracy for SAO was assessed in the pooled cohort as well as in an external validation cohort (NHANES [National Health and Nutrition Examination Survey] 2011-2012). Incident hospitalizations and deaths due to COPD (respiratory events) were defined by adjudication or administrative criteria in four of nine cohorts. Of 33,546 participants (mean age 52 yr, 54\% female, 44\% non-Hispanic White), 4,424 (13.2\%) had prevalent SAO. The incidence of respiratory events ( = 14,024) was threefold higher in participants with SAO versus those without (152 vs. 39 events/10,000 person-years). The probability score, which was based on six commonly available variables (age, sex, race and/or ethnicity, body mass index, smoking status, and smoking pack-years) was well calibrated and showed excellent discrimination in both the testing sample (C-statistic, 0.81; 95\% confidence interval [CI], 0.80-0.82) and in NHANES (C-statistic, 0.83; 95\% CI, 0.80-0.86). Among participants with predicted probabilities ⩾ 15\%, 3.2 would need to undergo spirometry to detect one case of SAO. Adults with SAO demonstrate excess respiratory hospitalization and mortality. A probability score for SAO using commonly available clinical risk factors may be suitable for targeting screening and primary prevention strategies.

}, keywords = {Adult, Female, Forced Expiratory Volume, Humans, Lung, Male, Middle Aged, Nutrition Surveys, Pulmonary Disease, Chronic Obstructive, Risk Factors, Spirometry, Vital Capacity}, issn = {2325-6621}, doi = {10.1513/AnnalsATS.202109-1020OC}, author = {Bhatt, Surya P and Balte, Pallavi P and Schwartz, Joseph E and Jaeger, Byron C and Cassano, Patricia A and Chaves, Paulo H and Couper, David and Jacobs, David R and Kalhan, Ravi and Kaplan, Robert and Lloyd-Jones, Donald and Newman, Anne B and O{\textquoteright}Connor, George and Sanders, Jason L and Smith, Benjamin M and Sun, Yifei and Umans, Jason G and White, Wendy B and Yende, Sachin and Oelsner, Elizabeth C} } @article {9586, title = {Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.}, journal = {medRxiv}, year = {2023}, month = {2023 Dec 14}, abstract = {

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model{\textquoteright}s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1\% to 30.1\% (SBP) and 14.3\% to 17.4\% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8\% to 5.1\% (SBP) and 4.7\% to 5\% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3\% (SBP) and 5.7\% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs.

}, doi = {10.1101/2023.12.13.23299909}, author = {Hrytsenko, Yana and Shea, Benjamin and Elgart, Michael and Kurniansyah, Nuzulul and Lyons, Genevieve and Morrison, Alanna C and Carson, April P and Haring, Bernhard and Mitchel, Braxton D and Psaty, Bruce M and Jaeger, Byron C and Gu, C Charles and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald and Choi, Eunhee and Brody, Jennifer A and Smith, Jennifer A and Rotter, Jerome I and Moll, Matthew and Fornage, Myriam and Simon, Noah and Castaldi, Peter and Casanova, Ramon and Chung, Ren-Hua and Kaplan, Robert and Loos, Ruth J F and Kardia, Sharon L R and Rich, Stephen S and Redline, Susan and Kelly, Tanika and O{\textquoteright}Connor, Timothy and Zhao, Wei and Kim, Wonji and Guo, Xiuqing and Der Ida Chen, Yii and Sofer, Tamar} } @article {9702, title = {Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores.}, journal = {Sci Rep}, volume = {14}, year = {2024}, month = {2024 May 30}, pages = {12436}, abstract = {

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model{\textquoteright}s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1 to 30.1\% (SBP) and 14.3\% to 17.4\% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8 to 5.1\% (SBP) and 4.7 to 5\% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3\% (SBP) and 5.7\% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs. In summary, non-linear ML models improves BP prediction in models incorporating diverse populations.

}, keywords = {Blood Pressure, Female, Genetic Predisposition to Disease, Genetic Risk Score, Genome-Wide Association Study, Humans, Hypertension, Machine Learning, Male, Middle Aged, Models, Genetic, Multifactorial Inheritance, Phenotype, Risk Factors}, issn = {2045-2322}, doi = {10.1038/s41598-024-62945-9}, author = {Hrytsenko, Yana and Shea, Benjamin and Elgart, Michael and Kurniansyah, Nuzulul and Lyons, Genevieve and Morrison, Alanna C and Carson, April P and Haring, Bernhard and Mitchell, Braxton D and Psaty, Bruce M and Jaeger, Byron C and Gu, C Charles and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald and Choi, Eunhee and Brody, Jennifer A and Smith, Jennifer A and Rotter, Jerome I and Moll, Matthew and Fornage, Myriam and Simon, Noah and Castaldi, Peter and Casanova, Ramon and Chung, Ren-Hua and Kaplan, Robert and Loos, Ruth J F and Kardia, Sharon L R and Rich, Stephen S and Redline, Susan and Kelly, Tanika and O{\textquoteright}Connor, Timothy and Zhao, Wei and Kim, Wonji and Guo, Xiuqing and Ida Chen, Yii-Der and Sofer, Tamar} } @article {9902, title = {Low Lung Function Is Associated with High Population Attributable Fraction for Cardiovascular Mortality.}, journal = {Ann Am Thorac Soc}, volume = {22}, year = {2025}, month = {2025 Mar}, pages = {359-366}, abstract = {

Chronic lung diseases are associated with increased risk of mortality due to coronary heart disease (CHD). Nonetheless, the population attributable fraction (PAF) of lung function impairment relative to other established cardiovascular risk factors is unclear. To evaluate the PAF of low lung function for CHD mortality We harmonized and pooled lung function and clinical data across eight U.S. general population cohorts. Impaired lung function was defined as forced expiratory volume in 1 second (FEV) and/or forced vital capacity <= 95\% predicted on baseline spirometry. The association between CHD mortality and risk factors was assessed using cause-specific proportional hazards and Fine-Gray proportional subdistribution hazard models, treating non-CHD mortality as a competing risk. Models were adjusted for lung function as well as age, sex, race/ethnicity, educational attainment, body mass index, smoking status, pack-years of smoking, diabetes mellitus, high-density lipoprotein, and high low-density lipoprotein (>=130 mg/dl). PAF was calculated as the relative change in the average absolute risk of 10-year CHD mortality by elimination of lung function lower than 95\% predicted. Among 35,143 participants, 1,844 of 13,174 (14.0\%) deaths were due to CHD. Compared with percentage predicted FEV (FEVpp) > 95\%, the subdistribution adjusted hazard ratio for low FEVpp was 1.30 (95\% confidence interval, 1.18-1.44). The PAF for FEVpp <= 95\% was 12\%, ranking low FEV third on the list of PAF for CHD mortality, after hypertension and diabetes. Low FEVpp ranked second in the subgroup of active smokers (PAF 14\%), after hypertension. Low lung function, even in the range considered clinically normal, ranks high on the list of attributable risk factors for CHD mortality and should be considered in cardiovascular risk stratification.

}, keywords = {Adult, Aged, Coronary Disease, Female, Forced Expiratory Volume, Humans, Lung, Lung Diseases, Male, Middle Aged, Proportional Hazards Models, Risk Factors, Smoking, Spirometry, United States, Vital Capacity}, issn = {2325-6621}, doi = {10.1513/AnnalsATS.202407-715OC}, author = {Bhatt, Surya P and Wu, Chaoqi and Sun, Yifei and Balte, Pallavi P and Schwartz, Joseph E and Divo, Miguel J and Jaeger, Byron C and Chaves, Paulo H and Couper, David and Jacobs, David R and Lloyd-Jones, Donald and Kalhan, Ravi and Newman, Anne B and O{\textquoteright}Connor, George T and Umans, Jason G and White, Wendy B and Yende, Sachin and Oelsner, Elizabeth C} }