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. 2020 May 5;296(1):208–215. doi: 10.1148/radiol.2020191793

Smaller Left Ventricle Size at Noncontrast CT Is Associated with Lower Mortality in COPDGene Participants

George R Washko 1,, Pietro Nardelli 1, Samuel Y Ash 1, Farbod N Rahaghi 1, Gonzalo Vegas Sanchez-Ferrero 1, Carolyn E Come 1, Mark T Dransfield 1, Ravi Kalhan 1, MeiLan K Han 1, Surya P Bhatt 1, J Michael Wells 1, Carrie L Pistenmaa 1, Alejandro A Diaz 1, James C Ross 1, Stephen Rennard 1, Gabriela Querejeta Roca 1, Amil M Shah 1, Kendra Young 1, Gregory L Kinney 1, John E Hokanson 1, Alvar Agustí 1, Raúl San José Estépar 1; For the COPDGene Investigators1
PMCID: PMC7299752  NIHMSID: NIHMS1591820  PMID: 32368963

Abstract

Background

Smokers with chronic obstructive pulmonary disease (COPD) have smaller left ventricles (LVs) due to reduced preload. Skeletal muscle wasting is also common in COPD, but less is known about its contribution to LV size.

Purpose

To explore the relationships between CT metrics of emphysema, venous vascular volume, and sarcopenia with the LV epicardial volume (LVEV) (myocardium and chamber) estimated from chest CT images in participants with COPD and then to determine the clinical relevance of the LVEV in multivariable models, including sex and anthropomorphic metrics.

Materials and Methods

The COPDGene study (ClinicalTrials.gov identifier: NCT00608764) is an ongoing prospective longitudinal observational investigation that began in 2006. LVEV, distal pulmonary venous blood volume for vessels smaller than 5 mm2 in cross section (BV5), CT emphysema, and pectoralis muscle area were retrospectively extracted from 3318 nongated, unenhanced COPDGene CT scans. Multivariable linear and Cox regression models were used to explore the association between emphysema, venous BV5, pectoralis muscle area, and LVEV as well as the association of LVEV with health status using the St George’s Respiratory Questionnaire, 6-minute walk distance, and all-cause mortality.

Results

The median age of the cohort was 64 years (interquartile range, 57–70 years). Of the 2423 participants, 1806 were men and 617 were African American. The median LVEV between Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1 and GOLD 4 COPD was reduced by 13.9% in women and 17.7% in men (P < .001 for both). In fully adjusted models, higher emphysema percentage (β = –4.2; 95% confidence interval [CI]: –5.0, −3.4; P < .001), venous BV5 (β = 7.0; 95% CI: 5.7, 8.2; P < .001), and pectoralis muscle area (β = 2.7; 95% CI: 1.2, 4.1; P < .001) were independently associated with reduced LVEV. Reductions in LVEV were associated with improved health status (β = 0.3; 95% CI: 0.1, 0.4) and 6-minute walk distance (β = –12.2; 95% CI: –15.2, –9.3). These effects were greater in women than in men. The effect of reduced LVEV on mortality (hazard ratio: 1.07; 95% CI: 1.05, 1.09) did not vary by sex.

Conclusion

In women more than men with chronic obstructive pulmonary disease, a reduction in the estimated left ventricle epicardial volume correlated with a loss of pulmonary venous vasculature, greater pectoralis muscle sarcopenia, and lower all-cause mortality.

© RSNA, 2020

Online supplemental material is available for this article.


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Summary

Greater degrees of expiratory airflow obstruction were associated with smaller left ventricle size in smokers estimated from unenhanced chest CT; however, smaller left ventricle size was associated with lower mortality and better clinical outcomes.

Key Results

  • ■ The estimated left ventricle epicardial volume (LVEV), derived from postprocessing analysis of nongated, unenhanced chest CT, was reduced for participants with Global Initiative for Chronic Obstructive Lung Disease (GOLD) 4 chronic obstructive pulmonary disease (COPD) than for those with GOLD 1 COPD (13.9% in women and 17.7% in men; P < .0001 for both).

  • ■ More emphysema, fewer pulmonary vessels less than 5 mm2 in cross section, and lower pectoralis muscle area were independently associated with a smaller LVEV.

  • ■ A smaller LVEV was associated with better health status, better 6-minute walk distance, and a reduced risk of death.

Introduction

Cardiac dysfunction is a major cause of morbidity and mortality in patients with chronic obstructive pulmonary disease (COPD). This dysfunction has been attributed to a combination of direct exposure to noxious substances such as tobacco smoke, inflammatory injury, and mechanical interdependence with a diseased lung (13). Several investigations that have explored these latter processes consistently demonstrated that higher amounts of emphysema and hyperinflation were associated with a smaller left ventricle (LV) (46). This phenomenon of the shrinking heart has been attributed to the compressive effects of the lung as well as to impaired LV filling because of emphysematous destruction of the intraparenchymal pulmonary vasculature (7). However, the clinical significance of this process has not been explored.

We have previously described the application of image-based analytic tools that can quantitatively assess the epicardial volume (myocardium and chamber) of the right ventricle and/or LV from noncardiac gated, unenhanced chest CT scans (810). Using these features, we wanted to replicate and expand on previously described associations among emphysema, the pulmonary vasculature (11), and LV volume. Patients with COPD also often have sarcopenia, but whether it may relate to a reduced LV epicardial volume (LVEV) is unknown. Likewise, the potential relationship between smaller LVEV and important clinical outcomes such as health status, exercise capacity, and/or risk of death, as well as how these relationships may vary by sex, are also unknown. We hypothesized that loss of the venous vasculature and lower pectoralis muscle area would be independent predictors of smaller LVEV and that a reduced LVEV would be predictive of poorer clinical outcomes such as worse health status, lower exercise capacity, and a higher risk of death. Here, we investigate these questions in COPDGene participants with expiratory airflow obstruction.

Materials and Methods

The COPDGene study (ClinicalTrials.gov identifier: NCT00608764) is a prospective longitudinal observational investigation (12). It was approved by the institutional review board of all participating centers, and all participants provided written informed consent. Health Insurance Portability and Accountability Act approval for this substudy was obtained as part of the institutional review board review at Brigham and Women’s Hospital. Participant characterization in COPDGene included volumetric inspiratory and expiratory nongated, unenhanced CT chest scans, questionnaires, and spirometry. Participants with previously diagnosed chronic lung diseases other than asthma, emphysema, or COPD were excluded.

Study Participants

This investigation of the clinical significance of the LVEV represents a secondary analysis of the epidemiologic findings, imaging data, and outcomes collected as part of the round 1 COPDGene study visit performed between October 2006 and January 2011. Ever-smokers with expiratory airflow obstruction (ratio of forced expiratory lung volume in 1 second [FEV1] to forced vital capacity <0.7 after the administration of a short-acting inhaled bronchodilator) were included in our analyses. Exclusion criteria for this substudy consisted of a lack of CT-based measures of emphysema, heart segmentation failure, and vascular segmentation failure.

CT Scan Acquisition and Postprocessing

The parameters used for image acquisition and reconstruction have been described in detail previously (12) and are briefly outlined in Appendix E1 (online). Objective characterization of emphysema-like tissue was performed using a local histogram-based technique and was reported as the percentage of the total lung volume occupied by emphysematous lung tissue (percentage of emphysema) for each participant (9,1316). Morphologic assessments of the distal pulmonary vasculature were performed as described previously (17,18), and the arterial and venous vascular components were separated using a deep learning–based approach (10,19). Pulmonary blood volume for vessels smaller than 5 mm2 in cross section (BV5) was calculated for each participant. Finally, cardiac segmentation was performed using an atlas-based approach as described previously (8,20). The estimated LVEV reported herein included both the wall and chamber volume. The epicardial surface rendering of the heart was visually inspected for quality control for each participant. Postprocessing segmentation errors, such as the inclusion of chest wall in the cardiac segmentation, were excluded. Vascular and ventricular volumes were expressed in milliliters for all modeling. The ventricular volumes normalized to body surface area were also calculated for visual display of the mortality data (Appendix E1 [online]). Additional CT analyses included the quantification of pectoralis muscle area (expressed in square centimeters) on a single axial image above the level of the aortic arch (2123). Additional details describing image postprocessing are available in Appendix E1 (online). Coronary artery calcium scoring was performed as described previously and reported as the nongated Agatston score (24). All CT analytics were performed on the inspiratory scan.

Lung Function, Health Status, 6-Minute Walk Distance, Mortality, and B-type Natriuretic Peptide

Spirometric measures of lung function, including FEV1, forced vital capacity, and their ratio (FEV1 to forced vital capacity) were performed using a spirometer (EasyOne; ndd Medical Technologies, Andover, Mass). Testing was performed before and after the administration of a short-acting inhaled bronchodilating medication (albuterol) per American Thoracic Society recommendations, and results were expressed as a percentage of predicted values (ie, FEV1%) (25,26). Those with expiratory airflow obstruction were then classified as having Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages 1–4 according to decrements in their FEV1 (27). Health status was measured using the total score from the St George’s Respiratory Questionnaire (SGRQ) (28). Measures of the distance walked in 6 minutes (6-minute walk distance [6MWD]) were expressed in feet, and mortality was determined as described previously using data from the National Death Index and from the COPDGene long-term follow-up program (29). The B-type natriuretic peptide level was measured in a subset of COPDGene participants and is expressed as picograms per milliliter.

Statistical Analysis

Data are presented as medians and interquartile ranges for continuous covariates and as percentages for categoric variables. Assessment of LV morphologic characteristics across sex-stratified GOLD groups was performed using the Jonckheere-Terpstra test (30). Multivariable linear regression, as well as multivariable Cox regression, was used to predict the LVEV as well as to assess the association between the LVEV and the SGRQ, 6MWD, and mortality. All models used continuous measures of the percentage of emphysema, venous BV5, and pectoralis muscle area as well as additional adjustments for age at enrollment (in years), sex, race, height (in centimeters), weight (in kilograms), FEV1%, smoking status (at the time of enrollment), CT-measured total lung capacity expressed as a percentage of predicted values, pack-years tobacco history, self-reported history of physician-diagnosed hypertension and congestive heart failure, resting heart rate, resting diastolic blood pressure, and nongated Agatston score unless otherwise specified. Additional models using the LVEV normalized to the body surface area are presented in Appendix E1 (online). The reported P values are two sided, and P < .05 was considered to indicate a statistically significant difference. Analyses were performed with software (SAS, version 9.4; SAS Institute, Cary, NC).

Results

Participant Characteristics

The study included 4510 COPDGene participants who had expiratory airflow obstruction at their baseline study visit. Of these, 260 were excluded because of a lack of emphysema measures, 378 were excluded because of cardiac segmentation failure (Fig E1 [online]), and 554 were excluded for vascular segmentation failure, leaving 3318 participants (Fig 1). The median age of this group was 64 years; 1512 participants (46%) were women and 617 (19%) were African American (Table 1). Figure 2 presents the automated CT reconstructions obtained in one participant to compute the quantitative traits used to assess ventricular volume, pectoralis muscle area, and small vessel venous vascular volume. Figure E2 (online) presents the aggregated and sex-stratified distributions of the LVEV according to spirometrically defined GOLD stages. The median LVEV between GOLD 1 and GOLD 4 COPD was reduced by 13.9% in women and 17.7% in men (P < .001 for both).

Figure 1:

Consort diagram for ever-smokers with chronic obstructive pulmonary disease (COPD). GOLD = Global Initiative for Chronic Obstructive Lung Disease.

Consort diagram for ever-smokers with chronic obstructive pulmonary disease (COPD). GOLD = Global Initiative for Chronic Obstructive Lung Disease.

Table 1:

Clinical, Epidemiologic, and CT-based Features of Study Participants with Complete Data on Vascular and Left Ventricle Morphologic Characteristics

graphic file with name radiol.2020191793.tbl1.jpg

Figure 2:

Images in a 57-year-old man with body mass index of 28.3 kg/m2 and forced expiratory lung volume in 1 second expressed as a percentage of predicted values of 58.5% from the COPDGene cohort with the different reconstructions for the left ventricle, pulmonary veins, and pectoralis muscles. A, Coronal view of the inspiratory CT scan at the level of the trachea. Upper lobe shows predominant advanced centrilobular emphysema (emphysema percentage = 29.0%). B, Segmentation of the pectoralis major (blue) and minor (green) at the level of the aortic arch used to compute the pectoralis muscle area. The pectoralis muscle area was 25.9 cm2. C, Lateral view of the left ventricle epicardium model used to calculate the estimated left ventricle epicardial volume (159.6 mL). D, Display of the venous phase of the pulmonary vascular tree extracted with the scale-space particles approach and segmented by an artery-vein deep learning method used to compute the venous blood volume of vessels smaller than 5 mm2 in cross section (62.9 mL). Color shading of the vessels represents vessel caliber.

Images in a 57-year-old man with body mass index of 28.3 kg/m2 and forced expiratory lung volume in 1 second expressed as a percentage of predicted values of 58.5% from the COPDGene cohort with the different reconstructions for the left ventricle, pulmonary veins, and pectoralis muscles. A, Coronal view of the inspiratory CT scan at the level of the trachea. Upper lobe shows predominant advanced centrilobular emphysema (emphysema percentage = 29.0%). B, Segmentation of the pectoralis major (blue) and minor (green) at the level of the aortic arch used to compute the pectoralis muscle area. The pectoralis muscle area was 25.9 cm2. C, Lateral view of the left ventricle epicardium model used to calculate the estimated left ventricle epicardial volume (159.6 mL). D, Display of the venous phase of the pulmonary vascular tree extracted with the scale-space particles approach and segmented by an artery-vein deep learning method used to compute the venous blood volume of vessels smaller than 5 mm2 in cross section (62.9 mL). Color shading of the vessels represents vessel caliber.

Univariable Associations

We began by examining the univariable associations between the LVEV, percentage of emphysema, venous BV5, and pectoralis muscle area (Table E1 [online]). The percentage of emphysema was inversely related to the LVEV and pectoralis muscle area (P < .001 for both), whereas the venous BV5 and pectoralis muscle area were directly related to the LVEV (P < .001 for both). No relationship existed between the venous BV5 and percentage of emphysema (P = .1).

Multivariable Models

Multivariable models were then created to predict the LVEV (Tables 2, E2 [online]). The initial model included the percentage of emphysema (model 1). In this model, emphysema was inversely related to the LVEV, where a 10% increase in the percentage of emphysema was associated with a 4.2 mL smaller LVEV (P < .001). The venous BV5 was then added (model 2), and the previously described relationship between emphysema and the LVEV remained. In this second model, a 10-mL increase in distal venous vascular volume was associated with a 6.9-mL increase in the LVEV (P < .001). Our final multivariable model to predict the LVEV (model 3) included the pectoralis muscle area. Again, the direction and magnitude of the associations between the LVEV and previously described metrics of emphysema and venous vascular volume were consistent with the first two models, and, in this fully adjusted model, a 10-cm2 increase in the pectoralis muscle area was associated with a 2.7-mL increase in the LVEV (P < .001).

Table 2:

Multivariable Models to Predict Left Ventricle Epicardial Volume in Ever-Smoking COPDGene Participants with Chronic Obstructive Pulmonary Disease

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Clinical Associations

Following examination of pulmonary and extrapulmonary radiologic features that predict epicardial morphologic characteristics of the LV, we wanted to explore its clinical associations. In fully adjusted models, a 10 mL higher LVEV was associated with a 0.3 point higher (worse) SGRQ (P < .001) (Tables 3; E3 [online]). We also examined the relationship between the LVEV and both the 6MWD and mortality. In both multivariable models (which included adjustment for the FEV1% and percentage of emphysema), larger LVEV volumes were associated with poorer clinical outcomes. A 10-mL increase in the LVEV was associated with a 12-ft decrease in 6MWD (P < .001) (Tables 3; E4 [online]) and a 6% higher risk of death (hazard ratio: 1.06; 95% confidence interval: 1.04, 1.08 per 10-mL increase; P < .001) (Table 4; Fig E3 [online]).

Table 3:

Multivariable Models to Predict the SGRQ Total Score, 6MWD, and Brain Natriuretic Peptide in Ever-Smokers with COPD in the COPDGene Study

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Table 4:

Predictors of All-Cause Mortality

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Sex-based Differences in Clinical Outcomes

Finally, we sought to determine if some of the sex-based differences in clinical outcomes previously observed in COPD could be ascribed to the cardiovascular system as assessed by our measures of the LV epicardial volume. To do so, we performed additional stratified analyses and testing for sex interactions in our models. We found that an increased LVEV was associated with greater decrements in both the health status as assessed according to the SGRQ and 6MWD in women than men (Table 3). However, there was no effect of sex in the association between LVEV size and mortality (P = .97 for interaction) (Table 4).

B-type Natriuretic Peptide

To further understand the observed effect of sex on the association of LVEV and clinical outcomes, we examined B-type natriuretic peptide data available from a subset of 236 COPDGene participants in our study cohort. The LVEV was associated with the B-type natriuretic peptide (β = 6.6; 95% confidence interval: 4.8, 8.4), and this association was modified by sex. In stratified models, the increase in B-type natriuretic peptide per milliliter increase in LVEV was more than twice as high in women than in men (Table 3).

Discussion

Using imaging, clinical, and epidemiologic data from the COPDGene study, we examined the relationship of CT-based metrics in left ventricle (LV) morphologic findings, emphysema, venous vascular morphologic characteristics, and pectoralis muscle area. We found that while increasing amounts of emphysema were associated with a smaller LV epicardial volume (LVEV), greater distal venous vascular volume and pectoralis muscle area were associated with a larger LVEV. Subsequent clinical modeling in analyses adjusted for lung function and percentage of emphysema revealed that a larger LVEV was associated with poorer health status (increased St George’s Respiratory Questionnaire score), a reduced 6-minute walk distance (6MWD), and a higher risk of death. These clinical associations, at least for health status and 6MWD as well as the effect of LV enlargement on B-type natriuretic peptide level, varied significantly by sex.

As demonstrated by prior investigations, we found that the LV was smaller in those with more severe expiratory airflow obstruction and emphysematous destruction of the lung parenchyma (5,7). This phenomenon was thought to reflect a pathologic process such as underfilling of the ventricle. However, our findings showed that a smaller LV volume was associated with better and not worse clinical outcomes in COPD (5). A second finding of our analyses is that the association between the LV volume and clinical outcomes appears to reflect a sexually dimorphic process and that increases in LV size had a stronger effect on clinical outcomes and plasma-based measures of B-type natriuretic peptide in women than in men.

The association between emphysema-like tissue on CT scans and reduced LV volume has been demonstrated previously. The largest of these investigations was presented by Barr and colleagues (7) using population-based data from the Multi-Ethnic Study of Atherosclerosis. The authors found that a 10-point increase in the percentage of emphysema was associated with a 4.1-mL reduction in the LV end-diastolic volume. Our data are highly consistent with these results, as we demonstrated that a 10% increase in emphysema was associated with a 4.2-mL reduction in the LVEV of those with COPD and a 6.6-mL reduction in the LVEV of ever-smokers with normal lung function.

Several proposed mechanisms exist for the association between emphysema and LV volume. These include lung hyperinflation leading to both extrinsic compressive effects on the myocardial surface, impaired venous return to the thoracic cavity, and the secondary presence of pulmonary vascular remodeling resulting in reduced LV filling (5,7). Although our CT-based measures of the LVEV cannot discern chamber and wall volumes, we sought to explore the latter hypothesis of impaired ventricular filling using our metrics of distal venous vascular volume.

The distal venous vascular volume was directly related to the LVEV in univariable analyses and after multivariable adjustment, which included the CT-measured total lung capacity expressed as a percentage of predicted values and percentage of emphysema. Our data are complementary to and extend those reported by Aaron and colleagues (11), who found that the nonarterial and/or venous segmented total intraparenchymal blood vessel volume (from CT) and pulmonary microvascular blood volumes (from MRI) were directly related to LV end-diastolic volume. The aggregate of these efforts confirms that an aspect of reduced LV size in those with emphysema is due to reduced chamber blood volume because of impaired ventricular filling.

COPD is, however, a complex condition with a multitude of pulmonary and extrapulmonary manifestations. Acknowledging that, we expanded our analyses beyond a focused assessment of the interdependence of heart and lung and demonstrated that the loss of skeletal muscle (reduction in pectoralis muscle area) is associated with reduced epicardial volume of the LV. Further work is needed to explore this observation, but our findings suggest that reductions in pectoralis muscle area and LVEV reflect a systemic process with a shared loss of skeletal muscle and myocardium.

Our multivariable modeling also demonstrated that a larger LVEV was associated with modest reductions in both health status and 6MWD as well as a higher risk of death. These observations are somewhat paradoxical given the consistent observation of reduced LV size in smokers with more advanced COPD. In light of the well-documented association between higher LV volume and adverse clinical outcomes in patients with heart failure and other cardiac conditions (3134), our results are not surprising. LV enlargement in the COPDGene cohort could simply represent the superimposition of additional pathologic findings, relative dilation, or enlargement of the ventricle on an already shrinking heart.

Finally, we found that the effects of the LVEV on both health status and 6MWD were significantly modified by sex. Prior investigation has demonstrated that women may be at a higher risk for more severe dyspnea and poorer health status than men with the same degree of chronic tobacco smoke exposure (35), and part of this differential susceptibility for clinical impairment may be found in the cardiovascular system. Previous echocardiographic studies also suggest this may be the case. For example, Ky et al (36) found that among patients with chronic angina and enlarged ventricles, women had a greater risk for developing heart failure than men.

The sex-based differences in the associations of the LV volume extend beyond clinical outcomes to include plasma-based measures of B-type natriuretic peptide. Although previous work reported that B-type natriuretic peptide levels are higher in women than men (37), those findings were not related to differences in cardiac structure in a population-based study of largely healthy individuals. Our data expand on those observations by suggesting that in COPD, there is greater production of B-type natriuretic peptide (which may be due to relatively greater increases in transmural wall stress [38]) per milliliter increase in LV volume in women than in men. Although these findings do not directly explain the sex-based differences in health status or 6MWD reported herein, it is possible that excess myocardial wall stress per unit volume change of the LVEV in women may be responsible for the differences we observe in the SGRQ score and 6MWD.

Our study has limitations. Our CT-based analytics of the epicardial surface of the LV did not discern ventricular chamber from myocardium, and we therefore could not differentiate the pattern of cardiac remodeling, including the relationship between ventricular wall thickness and chamber volume, nor could we directly assess cardiac function (31). These data were not cardiac gated, and some of the data had both systolic and diastolic phases on the same slice, causing blurring of the epicardial boundaries or cardiac motion between the slices. This will give rise to blurred epicardial boundaries, which are most evident on sagittal and coronal reformations. Those participants with pericardial fluid collections may have a spuriously high estimated LVEV index. We also lacked a large cohort of age-, sex-, and race-matched controls from which we could generate normative standards for our measures of ventricular volume, pectoralis muscle area, and venous vascular volume. These data would allow us to better understand the prevalence of pathologic findings represented by these features rather than by our provided associations with these features. Finally, we used cross-sectional radiologic data, which may or may not correctly infer heart size with advancing age and disease progression. Additional observational studies (prior to the onset of disease) would be needed to establish the dynamic nature of heart volumes in health and disease.

In summary, multiple pulmonary and extrapulmonary manifestations of smoking-related injury are found to be significantly associated with the estimated left ventricular (LV) volumes derived from noncontrast chest CT in those participants with chronic obstructive pulmonary disease. Reductions in the estimated LV volume correlated with the severity of expiratory airflow obstruction and may reflect an adaptive process to the pulmonary and systemic manifestations of this chronic respiratory disease. Deviations from this tendency (ie, LV enlargement or lack of LV shrinkage from preexisting cardiac disease) were associated with poorer clinical outcomes and associations, which are most evident in women.

APPENDIX

Appendix E1, Tables E1-E4 (PDF)
ry191793suppa1.pdf (266.6KB, pdf)

SUPPLEMENTAL FIGURES

Figure E1:
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Figure E2:
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Figure E3:
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Disclosures of Conflicts of Interest: G.R.W. Activities related to the present article: institution received a grant from the National Heart, Lung, and Blood Institute. Activities not related to the present article: is a consultant for GlaxoSmithKline; institution has grants/grants pending with Boehringer Ingelheim; is a founder and member of the scientific advisory board of Quantitative Imaging Solutions; chaired the data and safety monitoring board for a Pulmonx study; consulted for Janssen Pharmaceuticals and Novartis. Other relationships: disclosed no relevant relationships. P.N. disclosed no relevant relationships. S.Y.A. Activities related to the present article: institution received grants from the National Institutes of Health and the Pulmonary Fibrosis Foundation. Activities not related to the present article: has equity interest in Quantitative Imaging Solutions. Other relationships: disclosed no relevant relationships. F.N.R. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. G.V.S.F. disclosed no relevant relationships. C.E.C. Activities related to the present article: institution received grants from the National Institutes of Health and the National Heart, Lung, and Blood Institute. Activities not related to the present article: has grants/grants pending with the U.S. Department of Defense; received payment for development of Brigham Board Review in Critical Care course; receives honorarium as a member of the outcomes assessment committee for the Pulmonary Embolism Prevention after Hip and Knee Replacement trial. Other relationships: disclosed no relevant relationships. M.T.D. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: is a consultant for AstraZeneca, GlaxoSmithKline, PneumRx/BTG, Quark, and Mereo. Other relationships: disclosed no relevant relationships. R.K. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for AstraZeneca, Boehringer Ingelheim, Boston Consulting Group, Boston Scientific, CVS Caremark, and GlaxoSmithKline; has grants/grants pending with AstraZeneca, GlaxoSmithKline, PneumRx/BTG, and Spiration; has received payment for lectures, including service on speakers bureaus, from GlaxoSmithKline; received payment from WebMD/Medscape for development of educational presentations. Other relationships: disclosed no relevant relationships. M.K.H. Activities related to the present article: institution received a grant from the National Heart, Lung, and Blood Institute. Activities not related to the present article: is a consultant for AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Merck, and Mylan; has grants/grants pending with Novartis and Sunovion; receives royalties from UpToDate. Other relationships: disclosed no relevant relationships. S.P.B. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: receives payment for board membership from GlaxoSmithKline; is a consultant for Sunovion; has grants/grants pending with the National Institutes of Health. Other relationships: disclosed no relevant relationships. J.M.W. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: is a consultant for the advisory boards of AstraZeneca, BioPharma, Boehringer Ingelheim, GlaxoSmithKline, and Mereo; institution has grants/grants pending with the National Institutes of Health. Other relationships: disclosed no relevant relationships. C.P.A. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: institution has grants/grants pending with Alpha 1 Foundation, Boerhinger Ingelheim, and the National Institutes of Health; institution received payment from Pri-Med CME for development of educational presentations. Other relationships: disclosed no relevant relationships. A.A.D. Activities related to the present article: institution received a grant from the National Heart, Lung, and Blood Institute. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. J.C.R. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. S.R. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for BerGenBio; institution has grants/grants pending with the National Heart, Lung, and Blood Institute and the Patient-Centered Outcomes Research Institute; holds stock/stock options in AstraZeneca; received reimbursement for travel/accommodations/meeting expenses from the German Center for Lung Research. Other relationships: disclosed no relevant relationships. G.Q.R. disclosed no relevant relationships. A.M.S. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for Bellerophon Therapeutics and Philips Ultrasound; institution has grants/grants pending with Novartis. Other relationships: disclosed no relevant relationships. K.Y. Activities related to the present article: institution received a grant from the National Institutes of Health. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. G.L.K. Activities related to the present article: received a grant from the National Institutes of Health and the National Heart, Lung, and Blood Institute. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. J.E.H. disclosed no relevant relationships. A.A. disclosed no relevant relationships. R.S.J.E. Activities related to the present article: institution received a grant from the National Institutes of Health and the National Heart, Lung, and Blood Institute. Activities not related to the present article: is a consultant for Eolo Medical; received payment for lectures, including service on speakers bureaus, from Chiesi, Boehringer Ingelheim, and Toshiba; is a founder of and has equity in Quantitative Imaging Solutions. Other relationships: disclosed no relevant relationships.

Abbreviations:

BV5
pulmonary blood volume for vessels smaller than 5 mm2 in cross section
COPD
chronic obstructive pulmonary disease
FEV1
forced expiratory volume in 1 second
FEV1%
FEV1 expressed as a percentage of predicted values
GOLD
Global Initiative for Chronic Obstructive Lung Disease
LV
left ventricle
LVEV
LV epicardial volume
SGRQ
St George’s Respiratory Questionnaire
6MWD
6-minute walk distance

References

  • 1.Butler J, Schrijen F, Henriquez A, Polu JM, Albert RK. Cause of the raised wedge pressure on exercise in chronic obstructive pulmonary disease. Am Rev Respir Dis 1988;138(2):350–354. [DOI] [PubMed] [Google Scholar]
  • 2.Sin DD, Man SF. Chronic obstructive pulmonary disease as a risk factor for cardiovascular morbidity and mortality. Proc Am Thorac Soc 2005;2(1):8–11. [DOI] [PubMed] [Google Scholar]
  • 3.Roversi S, Fabbri LM, Sin DD, Hawkins NM, Agustí A. Chronic Obstructive Pulmonary Disease and Cardiac Diseases. An Urgent Need for Integrated Care. Am J Respir Crit Care Med 2016;194(11):1319–1336. [DOI] [PubMed] [Google Scholar]
  • 4.Vassaux C, Torre-Bouscoulet L, Zeineldine S, et al. Effects of hyperinflation on the oxygen pulse as a marker of cardiac performance in COPD. Eur Respir J 2008;32(5):1275–1282. [DOI] [PubMed] [Google Scholar]
  • 5.Watz H, Waschki B, Meyer T, et al. Decreasing cardiac chamber sizes and associated heart dysfunction in COPD: role of hyperinflation. Chest 2010;138(1):32–38. [DOI] [PubMed] [Google Scholar]
  • 6.Jörgensen K, Houltz E, Westfelt U, Ricksten SE. Left ventricular performance and dimensions in patients with severe emphysema. Anesth Analg 2007;104(4):887–892. [DOI] [PubMed] [Google Scholar]
  • 7.Barr RG, Bluemke DA, Ahmed FS, et al. Percent emphysema, airflow obstruction, and impaired left ventricular filling. N Engl J Med 2010;362(3):217–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rahaghi FN, Vegas-Sanchez-Ferrero G, Minhas JK, et al. Ventricular Geometry From Non-contrast Non-ECG-gated CT Scans: An Imaging Marker of Cardiopulmonary Disease in Smokers. Acad Radiol 2017;24(5):594–602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ash SY, Harmouche R, Ross JC, et al. Interstitial Features at Chest CT Enhance the Deleterious Effects of Emphysema in the COPDGene Cohort. Radiology 2018;288(2):600–609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Washko GR, Nardelli P, Ash SY, et al. Arterial Vascular Pruning, Right Ventricular Size, and Clinical Outcomes in Chronic Obstructive Pulmonary Disease. A Longitudinal Observational Study. Am J Respir Crit Care Med 2019;200(4):454–461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Aaron CP, Hoffman EA, Lima JAC, et al. Pulmonary vascular volume, impaired left ventricular filling and dyspnea: The MESA Lung Study. PLoS One 2017;12(4):e0176180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Regan EA, Hokanson JE, Murphy JR, et al. Genetic epidemiology of COPD (COPDGene) study design. COPD 2010;7(1):32–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Castaldi PJ, San José Estépar R, Mendoza CS, et al. Distinct quantitative computed tomography emphysema patterns are associated with physiology and function in smokers. Am J Respir Crit Care Med 2013;188(9):1083–1090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Castaldi PJ, Cho MH, San José Estépar R, et al. Genome-wide association identifies regulatory Loci associated with distinct local histogram emphysema patterns. Am J Respir Crit Care Med 2014;190(4):399–409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ash SY, Harmouche R, Ross JC, et al. The Objective Identification and Quantification of Interstitial Lung Abnormalities in Smokers. Acad Radiol 2017;24(8):941–946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ash SY, Harmouche R, Putman RK, et al. Clinical and Genetic Associations of Objectively Identified Interstitial Changes in Smokers. Chest 2017;152(4):780–791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Estépar RS, Kinney GL, Black-Shinn JL, et al. Computed tomographic measures of pulmonary vascular morphology in smokers and their clinical implications. Am J Respir Crit Care Med 2013;188(2):231–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wells JM, Iyer AS, Rahaghi FN, et al. Pulmonary artery enlargement is associated with right ventricular dysfunction and loss of blood volume in small pulmonary vessels in chronic obstructive pulmonary disease. Circ Cardiovasc Imaging 2015;8(4):e002546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Nardelli P, Jimenez-Carretero D, Bermejo-Pelaez D, et al. Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. IEEE Trans Med Imaging 2018;37(11):2428–2440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bhatt SP, Vegas-Sánchez-Ferrero G, Rahaghi FN, et al. Cardiac Morphometry on Computed Tomography and Exacerbation Reduction with β-Blocker Therapy in Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2017;196(11):1484–1488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Diaz AA, Zhou L, Young TP, et al. Chest CT measures of muscle and adipose tissue in COPD: gender-based differences in content and in relationships with blood biomarkers. Acad Radiol 2014;21(10):1255–1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.McDonald ML, Diaz AA, Ross JC, et al. Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study. Ann Am Thorac Soc 2014;11(3):326–334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kinsey CM, San José Estépar R, van der Velden J, Cole BF, Christiani DC, Washko GR. Lower Pectoralis Muscle Area Is Associated with a Worse Overall Survival in Non-Small Cell Lung Cancer. Cancer Epidemiol Biomarkers Prev 2017;26(1):38–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Budoff MJ, Nasir K, Kinney GL, et al. Coronary artery and thoracic calcium on noncontrast thoracic CT scans: comparison of ungated and gated examinations in patients from the COPD Gene cohort. J Cardiovasc Comput Tomogr 2011;5(2):113–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Standardization of Spirometry, 1994 Update . American Thoracic Society. Am J Respir Crit Care Med 1995;152(3):1107–1136. [DOI] [PubMed] [Google Scholar]
  • 26.Crapo RO, Morris AH, Gardner RM. Reference spirometric values using techniques and equipment that meet ATS recommendations. Am Rev Respir Dis 1981;123(6):659–664. [DOI] [PubMed] [Google Scholar]
  • 27.Rabe KF, Hurd S, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 2007;176(6):532–555. [DOI] [PubMed] [Google Scholar]
  • 28.Jones PW, Quirk FH, Baveystock CM. The St George’s Respiratory Questionnaire. Respir Med 1991;85(Suppl B):25–31; discussion 33–37. [DOI] [PubMed] [Google Scholar]
  • 29.Putman RK, Hatabu H, Araki T, et al. Association Between Interstitial Lung Abnormalities and All-Cause Mortality. JAMA 2016;315(7):672–681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mahrer JM, Magel RC. A comparison of tests for the k-sample, non-decreasing alternative. Stat Med 1995;14(8):863–871. [DOI] [PubMed] [Google Scholar]
  • 31.Konstam MA, Kramer DG, Patel AR, Maron MS, Udelson JE. Left ventricular remodeling in heart failure: current concepts in clinical significance and assessment. JACC Cardiovasc Imaging 2011;4(1):98–108. [DOI] [PubMed] [Google Scholar]
  • 32.Udelson JE, Konstam MA. Relation between left ventricular remodeling and clinical outcomes in heart failure patients with left ventricular systolic dysfunction. J Card Fail 2002;8(6 Suppl):S465–S471. [DOI] [PubMed] [Google Scholar]
  • 33.Koren MJ, Devereux RB, Casale PN, Savage DD, Laragh JH. Relation of left ventricular mass and geometry to morbidity and mortality in uncomplicated essential hypertension. Ann Intern Med 1991;114(5):345–352. [DOI] [PubMed] [Google Scholar]
  • 34.Lee TH, Hamilton MA, Stevenson LW, et al. Impact of left ventricular cavity size on survival in advanced heart failure. Am J Cardiol 1993;72(9):672–676. [DOI] [PubMed] [Google Scholar]
  • 35.Han MK, Postma D, Mannino DM, et al. Gender and chronic obstructive pulmonary disease: why it matters. Am J Respir Crit Care Med 2007;176(12):1179–1184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ky B, Kirwan BA, de Brouwer S, et al. Gender differences in cardiac remodeling and clinical outcomes in chronic stable angina pectoris (from the ACTION Trial). Am J Cardiol 2010;105(7):943–947. [DOI] [PubMed] [Google Scholar]
  • 37.Redfield MM, Rodeheffer RJ, Jacobsen SJ, Mahoney DW, Bailey KR, Burnett JC, Jr. Plasma brain natriuretic peptide concentration: impact of age and gender. J Am Coll Cardiol 2002;40(5):976–982. [DOI] [PubMed] [Google Scholar]
  • 38.Chen HH, Burnett JC, Jr. The natriuretic peptides in heart failure: diagnostic and therapeutic potentials. Proc Assoc Am Physicians 1999;111(5):406–416. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix E1, Tables E1-E4 (PDF)
ry191793suppa1.pdf (266.6KB, pdf)
Figure E1:
ry191793suppf1.jpg (361.2KB, jpg)
Figure E2:
ry191793suppf2.jpg (124.8KB, jpg)
Figure E3:
ry191793suppf3.jpg (169KB, jpg)

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