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Prognostic Role and Determinants of Ascending Aorta Dilatation in Non-Advanced Idiopathic Pulmonary Fibrosis: A Preliminary Observation from a Tertiary University Centre

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30 December 2024

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03 January 2025

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Abstract

Background: No previous study was specifically focused on the ascending aorta (AA) diameter assessment in patients with idiopathic pulmonary fibrosis (IPF). The aim of this study was to investigate the prognostic role of the AA diameter in patients with mild-to-moderate IPF and to identify the main determinants of the AA dilatation. Methods: All IPF patients without severe pulmonary hypertension who underwent a multi-instrumental evaluation, comprehensive of high-resolution computed tomography (HRCT) and transthoracic echocardiography (TTE), between September 2017 and No-vember 2023, were retrospectively analyzed. The primary endpoint was the composite of “all-cause mortality or re-hospitalization for all causes”, over a medium-term follow-up. The secondary endpoint was to evaluate the independent predictors of AA dilatation. Additionally, Bland-Altman analysis was used to assess the accuracy and precision of echocardiography-derived AA diameters compared with non-ECG gated HRCT meaurements. Results: A total of 105 IPF patients and 102 age-, sex- and cardiovascular risk factors-matched controls without IPF were retrospectively evaluated. Over a follow-up of 3.9±1.9 yrs, 31 patients died and 47 were re-hospitalized. AA/height (HR 1.15, 95% CI 1.06-1.25, p < 0.001) was independently associated with the primary endpoint, whereas unindexed AA (HR 1.01, 95% CI 0.96-1.06, p = 0.83) and AA/BSA (HR 1.00, 95% CI 0.89-1.11, p = 0.39) were not. An AA/height >20 mm/m showed 100% sensitivity and 63% specificity (AUC = 0.78) for predicting the primary endpoint. C-reactive protein (OR 1.87; 95% CI 1.21-2.89, p = 0.005) and left ventricular mass index (OR 1.13, 95% CI 1.04-1.24, p = 0.006) were independently associated with an AA/height >20 mm/m in the whole study group. The Bland-Altman analysis revealed a bias of +2.51 mm (with the 95% limits of agreement ranging –3.62 to 8.65 mm) for AA estimation, suggesting a general overestimation of the AA diameter by TTE in comparison to HRCT. Conclusions: The AA dilatation is predictive of poor outcome in IPF patients without advanced lung disease, over a mid-term follow-up. The AA/height assessment may improve the prognostic risk stratification of IPF patients.

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1. Introduction

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, fibrotic interstitial lung disease of unknown etiology, which occurs primarily in older adults [1]. The prognosis of IPF is poor, with an estimated median survival of 2–5 years from the time of diagnosis and survival rates are lower than those reported for many common cancers [2]. Intrinsic risk factors (e.g. genetics, aging, male sex, lung microbiome), comorbidities (e.g. gastroesophageal reflux, obstructive sleep apnea, herpes virus infection), and extrinsic risk factors (e.g. cigarette smoking, environmental exposures, air pollution) may contribute to the development of IPF [3,4,5].
Literature data indicate that IPF patients have a high prevalence of cardiovascular (CV) risk factors (history of smoking, hypertension, type 2 diabetes mellitus and dyslipidemia) and CV disease, including coronary artery disease, heart failure, atrial fibrillation and cerebrovascular disease [6,7,8]. Moreover, IPF may affect the vasculature beyond the lungs and, through an increased systemic inflammation, also accelerate atherosclerosis and degenerative processes of the arterial walls [9,10], thus potentially contributing to ascending aorta (AA) dilatation.
Recent population studies [11,12,13,14,15,16] have reported that an increased AA diameter is independently associated with a greater risk of CV events in large cohorts of individuals. As far as we know, no previous study was specifically focused on the prognostic role of AA diameters in IPF patients. Considering the high CV risk profile of IPF patients, we hypothesized that the AA diameter might be associated with poor outcome, over a mid-term follow-up period. Accordingly, the present study has been primarily designed to investigate the prognostic role of the AA diameter in patients with mild-to-moderate IPF and to determine the main parameters independently associated with AA dilatation in the same cohort of patients. The reproducibility of AA measurements by transthoracic echocardiography (TTE) in comparison to those derived from high-resolution computed tomography (HRCT) scan will be discussed as well.

2. Materials and Methods

2.1. Study Population

The present study retrospectively analyzed all IPF patients without severe pulmonary hypertension (PH), followed-up between September 2017 and November 2023 at the Division of Pneumology of San Giuseppe MultiMedica Hospital in Milan (Italy), a tertiary referral centre for interstitial lung diseases. All patients with mild-to-moderate IPF who underwent a multi-instrumental evaluation, comprehensive of HRCT, spirometry and diffusing capacity of the lungs for carbon monoxide (DLCO), six-minute walking test (6MWT), electrocardiography (ECG), conventional TTE and carotid ultrasonography, were included. The same cohort of IPF patients was object of previous investigations focusing on left atrial strain evaluation [17], sonographic examination of the carotid arteries [18], arterial elastance assessment [19] and finally on the prognostic role of CHA2DS2-VASc score [20]. This retrospective cohort of IPF patients was compared with healthy individuals without IPF, matched by age, sex, and cardiovascular risk factors, according to the European Society of Cardiology guidelines [21]. The control group was selected from the Outpatient Cardiology Division of our Institution.
IPF was defined according to the 2022 ATS/ERS/JRS/ALAT Clinical Practice Guidelines [1] by using a multidisciplinary approach involving pulmonologists, radiologists, and pathologists experienced in the diagnosis of interstitial lung disease.
The inclusion criteria were: 1) mild-to-moderate IPF, defined by forced vital capacity (FVC) >50%, DLCO >35% and TTE-derived tricuspid regurgitation velocity (TRV) <3.4 m/sec [22]; 2) IPF diagnostic work-up comprehensive of blood tests, spirometry and DLCO, 6MWT, HRCT, ECG, TTE and carotid ultrasonography; 3) hemodynamic stability for at least three months at the time of the enrollment.
The exclusion criteria were: 1) severe pulmonary hypertension (TRV ≥3.4 m/sec) [22] and/or congestive right heart failure at basal evaluation; 2) hemodynamic instability (acute respiratory failure, decompensated heart failure, acute kidney injury) at basal evaluation; 3) incomplete laboratory and instrumental data.
The following information was obtained from the patients’ medical records: demographics and anthropometrics (age, gender, body surface area and body mass index); prevalence of relevant cardiovascular risk factors (smoking history, hypertension, type 2 diabetes mellitus and dyslipidemia); history of cardiovascular and/or cerebrovascular events (previous surgical or percutaneous coronary artery intervention and/or previous stroke or transient ischemic attack); ECG data (heart rhythm, heart rate and pattern of intraventricular conduction); main comorbidities such as cancer, chronic obstructive pulmonary disease (COPD), obstructive sleep apnea syndrome (OSAS), gastroesophageal reflux disease (GERD), hypothyroidism and mixed anxiety–depressive disorder; blood tests comprehensive of complete blood count for determining hemoglobin concentration, serum levels of creatinine and estimated glomerular filtration rate (eGFR) [23], glucose, N-terminal pro-B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP) and low density lipoprotein (LDL) cholesterol; finally, the medical treatment during the hospitalization.
For each of the IPF patients included in the present study, accurate anamnesis, objective examination, HRCT, spirometry and DLCO, 6MWT, ECG, TTE and carotid ultrasonography, were obtained. All the examinations were performed during the same day.
All procedures were performed according to the ethical standards of the institutional research committee and to the Declaration of Helsinki (1964) and its subsequent amendments or equivalent ethical standards. The study protocol was authorized by the Comitato Etico Territoriale Lombardia 5 (Committee’s reference number 508/24, date of approval 22 October 2024).

2.2. High-Resolution Computed Tomography

A HRCT was obtained at the time of diagnosis in all IPF patients. Two expert radiologists (M.Z. and G.A.R.) estimated the coronary artery calcification (CAC) score according to the Agatston method [24]. Coronary calcium was classified using a threshold of 130 Hounsfield units (HU) [25]. The calcified plaques were assigned manually to their respective coronary artery by a mouse click, with subsequent automatic evaluation of the lesions by a 3D segmentation algorithm. The CAC score was calculated with commercially available semiautomatic software (CaScoring, Syngo.via VB30A, Siemens Healthineers). Internal diameters of aortic root and AA were measured at end-expiration, without ECG-gating.

2.3. Conventional Transthoracic Echocardiography

All echocardiograhic examinations were performed by the same expert cardiologist (A.S.) by using a Philips Sparq ultrasound machine (Philips, Andover, Massachusetts, USA) with a 2.5 MHz transducer.
The following M-mode and 2D echocardiographic parameters were recorded: relative wall thickness (RWT); left ventricular mass index (LVMi), calculated by the Deveraux formula; left ventricular end-diastolic volume index, left ventricular end-systolic volume index and left ventricular ejection fraction (LVEF), estimated with the biplane modified Simpson’s method [26]; left atrial volume index; right ventricular inflow tract (RVIT), right ventricular (RV) to left ventricular (LV) basal diameter ratio and tricuspid annular plane systolic excursion (TAPSE) from the apical four-chamber view; finally, the inferior vena cava (IVC) transverse diameter at end-expiration from a subcostal view.
Doppler measurements included the E/A ratio and the average E/e’ ratio, as indices of LV diastolic function and left ventricular filling pressures (LVFPs), respectively [27]. Systolic pulmonary artery pressure (sPAP) was derived by the modified Bernoulli equation, where sPAP = 4 x (TRV)2 + right atrial pressure (RAP) [22]. The RAP was estimated from IVC diameter and collapsibility. The ratio between TAPSE and sPAP was measured as noninvasive index of RV/pulmonary artery (PA) coupling [28].
The degree of valvulopathy was assessed according to the AHA/ACC recommendations for the management of patients with valvular heart diseases [29].
Finally, aortic root and AA diameters were measured at end-diastole from the parasternal long-axis view, using the “leading-edge-to-leading edge” convention, as recommended by the latest ESC guidelines [30]. The values of aortic root and AA diameters were reported as unindexed and indexed to body surface area (BSA) and height.

2.4. Endpoint Definition

The primary endpoint of this study was to identify the independent predictors of the composite of “all-cause mortality or re-hospitalization for all causes” in a retrospective cohort of IPF patients without severe PH, over a medium-term follow-up.
The secondary endpoint was to evaluate the independent predictors of an increased AA diameter, whose cut-off value was statistically determined, in the same study group.
The causes of death and/or rehospitalizations were investigated, for each IPF patient, by the same operator (G.B.), through the review of the medical records available in the hospital archive and/or telephone interviews.

2.5. Statistical Analysis

For statistical power calculation, we hypothesized that, by dividing IPF patients in two main categories (those with an AA diameter/BSA >19 mm/m2 and those with an AA diameter/BSA ≤19 mm/m2), IPF patients with AA dilatation might have a significantly higher risk of “all-cause mortality or re-hospitalization for all causes” than those with normal AA size, over a mid-term follow-up period. Assuming that IPF patients with an AA diameter/BSA >19 mm/m2 and those with an AA diameter/BSA ≤19 mm/m2 might have a 3-year “all-cause mortality or re-hospitalization for all causes” of 20% and 10% respectively, a sample size of 105 IPF patients would reach a statistical power of 100% for determining a statistically significant difference in the rates of “all-cause mortality or re-hospitalization for all causes” between the two groups of individuals, using a two-tailed t test with type I error at 5%.
Each continuous variable was checked through the Shapiro-Wilk test, and all data were determined to be normally distributed. Accordingly, for the whole cohort of IPF patients and matched controls, continuous data were summarized as mean ± standard deviation, while categorical data were presented as number (percentage). The difference between the means was estimated using the t-test, whereas categorical variables were compared using the Chi square test or the Fisher’s exact test, as appropriate.
Univariate Cox regression analysis was performed to identify the independent predictors of the composite of “all-cause mortality or re-hospitalization for all causes” in IPF patients, over a medium-term follow-up. According to the “one in ten rule” (one predictive variable for every ten events), the following variables were included in the Cox regression analysis: age and male sex (as demographics), CRP (as systemic marker of inflammation), FVC (as measurement of pulmonary function), LVEF (as index of LV systolic function), TAPSE/sPAP ratio (as index of RV-PA coupling), unindexed and/or indexed AA diameters, CAC score (as index of atherosclerotic burden) and, finally, beta blocker treatment. For each variable investigated, correspondent hazard ratios with 95% confidence intervals (CIs) were calculated. Only the variables with statistically significant association on univariate analysis (p-value < 0.05) were thereafter included in the multivariate Cox regression model.
The receiver operating characteristics (ROC) curve analysis was performed to establish the sensitivity and the specificity of the main statistically significant continuous variables for predicting the primary endpoint. The area under curve (AUC) was estimated. The optimal cut-off of each statistically significant continuous variable was calculated using the maximum value of the Youden Index (determined as sensitivity + [1-specificity]).
Kaplan–Meier survival curves were designed to measure the differences between the AA diameter categories in the rates of “all-cause mortality or rehospitalizations for all causes”, over a mid-term follow-up, for the whole cohort of IPF patients. The survival curves were compared using the log-rank test.
Univariate and multivariate logistic regression analyses were performed for detecting the independent predictors of AA dilatation, whose optimal cut-off was determined using the Youden Index, in IPF patients.
To evaluate intra- and inter-observer variability in the assessment of the AA diameter, this parameter was remeasured in a subgroup of 15 IPF patients by the same cardiologist (A.S.) who performed all the echocardiographic examinations and by a second one (M.L.). The analyses were performed in a blinded manner. We used the intraclass correlation coefficient (ICC) with its 95% CI as a statistical method for assessing intra- and inter-observer measurement variability. An ICC of 0.70 or more was considered to indicate acceptable reliability. Finally, Bland-Altman analysis [31] was used to assess the accuracy and precision of echocardiography-derived AA diameters compared with non-ECG gated HRCT meaurements. The accuracy of echocardiography was assessed by estimating the mean difference between noninvasive and invasive measures of the AA diameters and their 95% confidence interval (CI). Precision was assessed by calculating the lower and upper limit of agreement [mean difference ± 1.96*(SD of the differences, after testing for normal distribution of the differences] between noninvasive and invasive measures of the AA diameters.
Statistical analysis was performed using SPSS software version 28 (SPSS Inc., Chicago, Illinois, USA), with two-tailed p-values below 0.05 deemed statistically significant.

3. Results

3.1. Clinical Findings

A total of 105 IPF patients and 102 age-, sex- and cardiovascular risk factors-matched controls without IPF were retrospectively evaluated.
The two study groups showed a moderate-to-high prevalence of smoking history and a moderate prevalence of hypertension, type 2 diabetes mellitus and dyslipidemia. Compared to controls, IPF patients had a significantly higher atherosclerotic burden, as expressed by the greater prevalence of ≥50% carotid artery stenosis, CAC on HRCT, lower extremity peripheral artery disease and finally polidistrectual vasculopathy; however, IPF patients were not found with a significantly increased prevalence of coronary artery disease and/or cerebrovascular events than controls. The two study groups showed a similar prevalence of non-cardiovascular comorbidities, such as cancers, COPD, OSAS, GERD, hypothyroidism and mixed anxiety–depressive disorder. Analysis of blood tests revealed that serum levels of CRP were significantly increased in IFP patients than controls (1.7 ± 2.7 vs 0.9 ± 2.1 mg/dl, p = 0.02), whereas no statistically significant differences were observed between the two groups of patients with regard to serum hemoglobin, eGFR glucose, NT-proBNP and LDL cholesterol. A cardioprotective treatment comprehensive of beta blockers and statins was more commonly prescribed to controls, whereas approximately half of the IPF patients were treated with oxygen therapy and anti-fibrotic agents (Table 1).

3.2. Instrumental Findings

Table 2 summarizes all the relevant instrumental parameters measured in the two study groups.
On HRCT, 60% of IPF patients were diagnosed with a “definite” UIP pattern, 24.8% with a “probable” UIP pattern and the remaining 15.2% with an “indeterminate” pattern; moreover, an elevated CAC score (698.9 ± 879.8 HU) was obtained. Pulmonary function tests (PFTs) showed a mild reduction in FVC%, forced expiratory volume in 1 s (FEV1)% and total lung capacity (TLC)%, whereas DLCO% was moderately impaired. The 6-min distance walked by IPF patients was slightly reduced in comparison to the normal range for healthy individuals (between 400 and 700 m) [32]. No statistically significant differences were observed between the two study groups in heart rate, atrial fibrillation prevalence and intraventricular delay on resting ECG. On TTE, left-sided cardiac chambers cavity size did not differ between IPF patients and controls. The most common LV geometric pattern detected in both groups of patients was LV concentric remodeling with normal LV systolic function and first-degree diastolic dysfunction. However, LVFPs, as expressed by the E/average e’ ratio (14.0 ± 4.5 vs 11.9 ± 4.9, p = 0.001), were significantly higher in IPF patients than controls. No significant valvulopathy was reported in the two study groups. IPF patients were found with a mild degree of RV enlargement, as quantified by both RVIT diameter and RV/LV basal diameter ratio measured from the apical four-chamber view. Nevertheless, RV systolic function, assessed by the M-mode derived TAPSE (22.0 ± 4.7 vs 22.9 ± 3.7 mm, p = 0.13) was normal and similar in both groups of patients. The echocardiographic evaluation of pulmonary hemodynamics revealed significantly increased values of TRV, IVC diameter and sPAP in IPF patients than controls, compatible with mild-to-moderate PH. A concomitant moderate impairment in TAPSE/sPAP ratio was observed in IPF patients in comparison to controls and to the accepted normal range, that is typically between 0.8 and 1.8 [28]. Concerning the assessment of thoracic aorta, the aortic root and AA diameters indexed to BSA were similar in the two study groups. The majority of IPF patients (74.3% of total) was found with increased AA diameters indexed to BSA, in comparison to the accepted reference values [26]. Compared to controls, IPF patients were diagnosed with significantly larger unindexed aortic root and AA diameters and significantly larger aortic root and AA diameters indexed to height.

3.3. Survival Analysis

Mean follow-up time was 3.9 ± 1.9 yrs. During the follow-up period, 31 IPF patients died and 47 were re-hospitalized due to: 1) CV causes (21.3%): acute ischemic stroke/transient ischemic attack (6 patients) and acute coronary syndrome (4 patients); 2) cardiopulmonary causes (42.5%): right heart failure (12 patients) and acute pulmonary embolism (8 patients); 3) pulmonary causes (36.2%): acute respiratory failure secondary to IPF progression (7 patients), pneumonia (7 patients), pneumomediastinum (2 patients), and pneumothorax (1 patient). No case of acute aortic syndrome was recorded. The deaths recorded in IPF patients occurred within 4 yrs after hospital discharge in the great majority of cases.
Univariate and multivariate Cox regression analyses performed for identifying the independent predictors of the composite of “all-cause mortality or re-hospitalizaton for all causes” occurring during the follow-up period in IPF patients are reported in Table 3.
CRP (HR 1.09, 95% CI 1.01-1.18, p = 0.03), FVC% (HR 0.98, 95% CI 0.97-0.99, p = 0.02), TAPSE/sPAP ratio (HR 0.23, 95% CI 0.07-0.76, p = 0.02) and AA indexed to height (HR 1.15, 95% CI 1.06-1.25, p < 0.001) were independently associated with the primary endpoint. ROC curve analysis revealed that a CRP >0.37 mg/dl (72% sensitivity, 41% specificity, AUC = 0.54), a FVC <73.5% (50% sensitivity, 37% specificity, AUC = 0.38), a TAPSE/sPAP ratio <0.65 mm/mmHg (73% sensitivity, 63% specificity, AUC = 0.73) and an AA diameter indexed to height >20 mm/m (100% sensitivity, 63% specificity, AUC = 0.78) showed the greatest sensitivity and specificity for predicting the composite endpoint in the whole study population.
Prognostic ROC curves and Kaplan-Meier survival curves drawn to compare the rates of the composite of “all-cause mortality or re-hospitalizaton for all causes” over the follow-up period in IPF patients, categorized according to an AA diameter indexed to height ≤20 mm/m and >20 mm/m, are depicted in Figure 1, Panels A and B, respectively.
On multivariate logistic regression analysis performed for detecting the variables independently associated with an AA indexed to height >20 mm/m in the entire cohort of IPF patients, only CRP (OR 1.87; 95% CI 1.21-2.89, p =0.005) and LVMi (OR1.13, 95% CI 1.04-1.24, p = 0.006) maintained statistical significance (Table 4).
A CRP >0.4 mg/dl (79% sensitivity, 99% specificity, AUC = 0.93) and a LVMi >90 g/m2 (72% sensitivity, 99% specificity, AUC = 0.83) were the best cut-off values for predicting the secondary endpoint.

3.4. Measurement Variability

Intra- and inter-observer agreement between the raters in the echocardiographic assessment of the AA diameter, expressed as ICCs, was 0.91 (95% CI 0.76-0.97) and 0.84 (95% CI 0.58-0.94), respectively. The Bland-Altman analysis revealed a bias of +2.51 mm (with the 95% limits of agreement ranging –3.62 to 8.65 mm) for AA estimation, suggesting a general overestimation of the AA diameter by TTE in comparison to non-ECG gated HRCT (Figure 2).

4. Discussion

4.1. Main Findings of the Study

The present study conducted on a retrospective series of IPF patients without advanced lung disease demonstrated that: 1) compared to matched controls, IPF patients had significantly larger unindexed aortic root and AA diameters and significantly larger aortic root and AA diameters indexed to height; 2) the AA dilatation was independently associated with the occurrence of the composite of “all-cause mortality or re-hospitalizaton for all causes” over a mid-term follow-up; 3) the AA diameter indexed to height showed an incremental prognostic value over both the unindexed AA diameter and the AA diameter indexed to BSA; 4) serum levels of CRP and LVMi were independently correlated with the AA dilatation in IPF patients; 5) TTE examination was associated with systematic overestimation of AA diameters in comparison to the measurements derived from non-ECG gated HRCT.
In our findings, an AA diameter indexed to height >20 mm/m at basal evaluation was the best cut-off value for distinguishing between IPF patients with an increased probability of “all-cause mortality or re-hospitalizaton for all causes” from those with an increased probability of event-free survival, over the follow-up period. Serum CRP levels, FVC% and the TTE-derived TAPSE/sPAP ratio were other independent prognostic indicators of an increased risk of mortality and adverse clinical events in IPF patients.

4.2. Prognostic Role of Ascending Aorta Dilatation

During the last two decades, a few studies have demonstrated the prognostic role of aortic root and AA size in various study populations. Gardin J.M. et al. [11], in a cohort of patients aged ≥65 years without clinical CV disease at baseline, found that aortic root dilatation was predictive of congestive heart failure, stroke, CV disease mortality, and all-cause mortality. Lai C.L. et al. [12], in the Chin-Shan Community Cardiovascular Cohort study, found a significant association between aortic root dimension and all-cause death in adults <65 years. Cuspidi C. et al. [13], in the PAMELA study, demonstrated that the aortic root diameter indexed to height was predictive of nonfatal and fatal CV events among middle-aged individuals, showing an incremental prognostic value over the absolute aortic root diameter and the aortic root diameter indexed to BSA. Kamimura D. et al. [14], in the Jackson Heart Study, found that a greater proximal aortic diameter was associated with an increased risk of CV events in a community-based cohort of blacks. Canciello G. et al. [15] and Leone D. et al. [16] demonstrated that AA dilatation was associated with a greater risk of CV events in hypertensive patients, regardless of LV hypertrophy and other confounders.
Consistent with the PAMELA study’s results, in our findings, the AA diameter indexed to height was the best indicator of poor outcome in IPF patients. Our results are also in alignment with the recent evidence that indexing aortic dimensions to patient height may allow incremental prognostic information for evaluating the risk of natural complications in patients with AA dilatation [33]. Conversely, the weight might not contribute substantially to aortic size and growth.
The present study also confirmed the usefulness of TAPSE/sPAP ratio for providing a prognostic risk stratification of IPF patients, as previously demonstrated by our study group [34]. This simple noninvasive index of the RV-PA coupling measures the relationship between RV contractility and RV afterload. The TAPSE/sPAP ratio impairment with consequent RV-PA uncoupling may be induced by a pre-capillary component, resulting from fibrotic destruction of lung parenchyma and leading to hypoxic vasoconstriction and loss of vascular bed density, and a post-capillary component, favoured by increased arterial stiffness, moderate diastolic dysfunction and left-sided heart chambers stiffness.

4.3. Pathophysiological Mechanisms of Ascending Aorta Dilatation in IPF Patients

A number of factors may synergically contribute to the AA aorta dilatation in IPF patients (Figure 3).
Firstly, it is important to consider that the profile of IPF patients is similar to the general profile of patients at higher risk for CV disease [35], due to the high prevalence of the most common CV risk factors, particularly older age, male sex, smoking history and hypertension, detected in these patients. AA dilatation is a common finding in arterial hypertension, affecting about 15% of hypertensive patients, and has been recently associated with a greater risk of CV events [16].
Secondly, it has been reported an association between poorer pulmonary function and higher arterial stiffness, likely mediated by circulating inflammatory mediators, such as CRP and IL-6 [36]. Given the positive correlation between arterial stiffness and aortic size demonstrated in individuals without overt heart disease [37], in hypertensive patients [38] and in patients affected by type 2 diabetes [39], it is likely that an increased arterial stiffness, frequently observed in IPF patients [19], may have an important role in inducing the AA dilatation in IPF patients.
A low-grade systemic inflammation, that is commonly detected in IPF patients [18,40,41], might contribute to, or trigger, the process of remodeling within vascular walls of the aorta, with peculiar involvement of the media and adventitia, leading to media atrophy, thinning and weakening of the aortic wall and finally aortic dilatation [42].
Moreover, as observed in young individuals [43] and in patients with essential hypertension [44], the increase in aortic diameters detected in IPF patients may be related to the increased left ventricular mass. Indeed, LV remodeling is strongly associated with the aortic wall remodeling: LV wall thickness, LVMi and diastolic dysfunction may all contribute to an increase in aortic diameters.
Similarly to what described in the general population [45], subclinical atherosclerotic disease, particularly CAC score, could be another possible determinant of increased AA diameter in IPF patients.
Aortic dilatation may also be promoted by prolonged corticosteroid treatment, that has been associated with aortic wall fragility due to its negative effect on collagen formation and connective tissue strength [46,47]. Furthermore, longterm steroid therapy can also stimulate increasing blood pressure therefore raising the incidence of hypertension.
Finally, it is not possible to exclude that a number of cases of AA dilatation detected in IPF patients may be related to positive family history and/or genetic disorders, including Marfan syndrome, Ehlers-Danlos syndrome, Turner’s syndrome, and bicuspid aortic valve [48].
In the present study, among the several parameters included in the logistic regression analysis performed for identifying the independent predictors of AA dilatation in IPF patients (age, male sex, BSA, hypertension, smoking, CRP, FVC, LVMi, CAC score and corticosteroid treatment), only serum CRP levels and LVMi showed an incremental prognostic value over the other variables. Our results would confirm that, in IPF patients, LV remodeling and aortic wall remodeling are strongly correlated and that a low-grade of systemic inflammation might also affect the AA wall.

4.4. Implications for Clinical Practice

In light of our findings, the assessment of aortic diameters might help the pulmonologists to optimize the prognostic risk stratification of IPF patients. Notably, IPF patients with AA diameter indexed to height >20 mm/m at basal echocardiographic evaluation should be considered at high risk of major adverse CV events over a mid-term follow-up period. Due to their beneficial effect in attenuating AA dilation [49,50], the prescription of beta blockers and statins, commonly underutilized in IPF patients [51], should be implemented in clinical practice, especially for those patients with an AA diameter indexed to height >20 mm/m. The initiation and/or up-titration of angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs) may also protect against further AA dilatation, thus preventing the occurrence of acute aortic syndromes. As observed in hypertensive patients, an early cardioprotective treatment could induce a reduction in left ventricular mass [52], thus improving CV prognosis.
The present study also confirmed the accuracy and reliability of conventional TTE for measuring the AA diameters in IPF patients. By providing a systematic overestimation of the real aortic size, the “leading edge-to-leading edge” convention, strongly encouraged by the international guidelines [26], is more effective than the “inner edge-to-inner edge” convention in early identifying those patients with increased risk of adverse CV events and/or life-threatening complications, such as aortic dissection and/or rupture.

4.5. Study Limitations

The main limitations of the present study were its monocentric design, the retrospective nature and the limited number of IPF patients analyzed. However, the sample size calculation for survival analysis justified the total number of IPF patients included in the study. In addition, several traditional and innovative echocardiographic parameters, such as stroke volume, arterial elastance and left atrial strain during the reservoir phase, were not included in our evaluation, as they were not measured in all patients at the basal echocardiographic examination. These parameters would have allowed to obtain further information about the mechanisms underpinning the AA dilatation in IPF patients. Finally, the aortic diameters were assessed by a non-ECG-gated HRCT, rather than computed tomography angiography; therefore, the aortic diameters, even if measured in all IPF patients, could not always be obtained at end-diastole in all cases.

5. Conclusions

The AA dilatation is predictive of poor outcome in IPF patients without advanced lung disease, over a mid-term follow-up.
The AA diameter indexed to height might improve the prognostic risk stratification of IPF patients and its dilatation may suggest the early initiation and/or up-titration of cardioprotective drugs.
Further multicentric prospective studies are needed to confirm our findings.

Author Contributions

Conceptualization, A.S. and A.C.; methodology, A.S., G.A.R. and M.Z.; software, A.S.; validation, A.C., M.L., S.H..; formal analysis, A.S.; investigation, A.S., A.C., G.B., G.A.R. and M.Z.; resources, A.S. and S.H.; data curation, A.S., G.B., G.A.R. and M.Z.; writing—original draft preparation, A.S.; writing—review and editing, G.L.N.; visualization, G.L.N., M.L. and S.H.; supervision, M.L. and S.H.; project administration, S.H.; funding acquisition, A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of Health, Ricerca Corrente IRCCS MultiMedica.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Comitato Etico Territoriale Lombardia 5 (Committee’s reference number 508/24), date of approval 22 October 2024.

Informed Consent Statement

Patient consent was waived due to the retrospective nature of the study.

Data Availability Statement

Data extracted from included studies will be publicly available on Zenodo (https://zenodo.org).

Acknowledgments

The authors wish to thank Monica Fumagalli for her graphical support.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Prognostic ROC curve (Panel A) and Kaplan-Meier survival curves (Panel B) drawn to compare the rates of the endpoint “all-cause mortality or rehospitalizations for all causes” in IPF patients, categorized according to ascending aorta indexed to height ≤ and >20 mm/m, respectively. AUC, area under the curve; IPF, idiopathic pulmonary fibrosis; ROC, receiver operating characteristics.
Figure 1. Prognostic ROC curve (Panel A) and Kaplan-Meier survival curves (Panel B) drawn to compare the rates of the endpoint “all-cause mortality or rehospitalizations for all causes” in IPF patients, categorized according to ascending aorta indexed to height ≤ and >20 mm/m, respectively. AUC, area under the curve; IPF, idiopathic pulmonary fibrosis; ROC, receiver operating characteristics.
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Figure 2. Bland-Altman analysis performed for assessing the accuracy and precision of echocardiography-derived ascending aorta diameters compared with non-ECG gated HRCT meaurements. ECG, electrocardiogram; HRCT, high resolution computed tomography.
Figure 2. Bland-Altman analysis performed for assessing the accuracy and precision of echocardiography-derived ascending aorta diameters compared with non-ECG gated HRCT meaurements. ECG, electrocardiogram; HRCT, high resolution computed tomography.
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Figure 3. Main determinants of ascending aorta dilatation in IPF patients. IPF, idiopathic pulmonary fibrosis.
Figure 3. Main determinants of ascending aorta dilatation in IPF patients. IPF, idiopathic pulmonary fibrosis.
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Table 1. Clinical characteristics of IPF patients and controls at basal evaluation. Data are expressed as mean ± SD or as number (percentage). Significant p-values are in bold. ACEIs, angiotensin-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; BMI, body mass index; BSA, body surface area; CAD, coronary artery disease; CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; GERD, gastroesophageal reflux disease; HRCT, high resolution computed tomography; IPF, idiopathic pulmonary fibrosis; LDL, low density lipoprotein; NT-proBNP, N-Terminal pro-B-Type Natriuretic Peptide; OSAS, Obstructive Sleep Apnea Syndrome; PCI, percutaneous coronary intervention; SD, standard deviation; TIA, transient ischemic attack.
Table 1. Clinical characteristics of IPF patients and controls at basal evaluation. Data are expressed as mean ± SD or as number (percentage). Significant p-values are in bold. ACEIs, angiotensin-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; BMI, body mass index; BSA, body surface area; CAD, coronary artery disease; CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; GERD, gastroesophageal reflux disease; HRCT, high resolution computed tomography; IPF, idiopathic pulmonary fibrosis; LDL, low density lipoprotein; NT-proBNP, N-Terminal pro-B-Type Natriuretic Peptide; OSAS, Obstructive Sleep Apnea Syndrome; PCI, percutaneous coronary intervention; SD, standard deviation; TIA, transient ischemic attack.
CLINICAL VARIABLES IPF patients
(n = 105)
Controls
(n = 102)
p-Value
Demographics and anthropometrics
Age (yrs) 76.3 ± 6.8 76.4 ± 11.4 0.94
Male sex (%) 82 (78.1) 72 (70.6) 0.22
Heigth (cm) 166.0 ± 7.7 164.5 ± 9.3 0.21
Weight (Kg) 73.7 ± 13.3 70.7 ± 13.6 0.11
BSA (m2) 1.86 ± 0.18 1.85 ± 0.21 0.71
BMI (Kg/m2) 26.6 ± 3.5 26.3 ± 4.0 0.56
Yrs from IPF diagnosis 3.7 ± 1.9 /
Cardiovascular risk factors
Smoking history (%) 86 (81.9) 74 (72.5) 0.11
Hypertension (%) 55 (52.4) 60 (58.8) 0.35
Type 2 diabetes mellitus (%) 34 (32.4) 30 (29.4) 0.64
Dyslipidemia (%) 52 (49.5) 40 (39.2) 0.13
Atherosclerotic disease burden
≥50% carotid artery stenosis (%) 34 (32.4) 19 (18.6) 0.02
Coronary artery calcification on HRCT (%) 41 (39.0) 25 (24.5) 0.02
Lower extremity peripheral artery disease (%) 12 (11.4) 4 (3.9) 0.04
Polidistrectual vasculopathy (%) 24 (22.8) 8 (7.8) 0.003
History of cardiovascular and/or cerebrovascular events
History of CAD (previous PCI/CABG) (%) 23 (21.9) 17 (16.7) 0.34
Previous stroke/TIA (%) 7 (6.7) 12 (11.8) 0.20
Non-cardiovascular comorbidities
Cancers (%) 19 (18.1) 13 (12.7) 0.29
COPD (%) 19 (18.1) 12 (11.8) 0.20
OSAS (%) 9 (8.6) 6 (5.9) 0.45
GERD (%) 24 (22.8) 15 (14.7) 0.13
Hypothyroidism (%) 11 (10.5) 6 (5.9) 0.23
Mixed anxiety–depressive disorder (%) 9 (8.6) 7 (6.9) 0.64
Blood tests
Serum hemoglobin (g/dl) 14.0 ± 1.7 13.7 ± 1.9 0.23
eGFR (ml/min/m2) 80.7 ± 17.0 78.0 ± 17.9 0.27
Serum glucose (mg/dl) 115.5 ± 20.6 110.4 ± 33.4 0.19
Serum NT-proBNP (pg/ml) 404.2 ± 1247.2 631.1 ± 1385.0 0.22
Serum CRP (mg/dl) 1.7 ± 2.7 0.9 ± 2.1 0.02
Serum LDL cholesterol (mg/dl) 115.1 ± 33.0 107.6 ± 36.4 0.12
Cardioprotective treatment
Antiplatelets (%) 45 (42.8) 50 (49.0) 0.37
Anticoagulants (%) 12 (11.4) 10 (9.8) 0.70
ACEi-ARBs (%) 39 (37.1) 48 (47.0) 0.15
Calcium channel blockers (%) 21 (20.0) 30 (29.4) 0.12
Beta blockers (%) 25 (23.8) 42 (41.2) 0.007
Diuretics (%) 28 (26.7) 24 (23.5) 0.60
Statins (%) 22 (20.9) 35 (34.3) 0.03
Antidiabetic drugs (%) 28 (26.7) 25 (24.5) 0.72
Proton pump inhibitors (%) 22 (20.9) 13 (12.7) 0.11
Respiratory treatment
Oxygen therapy (%) 55 (52.4) /
Oral corticosteroids (%) 38 (36.2) /
Inhalation therapy (%) 11 (10.5) /
Pirfenidone (%) 43 (40.9) /
Nintedanib (%) 55 (52.4) /
Table 2. Main instrumental variables detected by HCRT, spirometry, ECG and conventional TTE in the two study groups, at basal evaluation. Data are expressed as mean ± SD or as number (percentage). Significant p-values are in bold. 6MWT, six-minute walking test; ΔSaO2, absolute difference between peak exercise and rest oxygen saturation; AR, aortic regurgitation; BSA, body surface area; CAC, coronary artery calcification; DLCO, diffusing capacity of the lung for carbon monoxide; ECG, electrocardiogram; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; HRCT, high resolution computed tomography; HU, Hounsfield unit; IPF, idiopathic pulmonary fibrosis; IVC, inferior vena cava; LAVi, left atrial volume index; LV, left ventricular; LVEDD, left ventricular end-diastolic diameter; LVEDVi, left ventricular end-diastolic volume index; LVEF, left ventricular ejection fraction; LVESVi, left ventricular end-systolic volume index; LVMi, left ventricular mass index; MR, mitral regurgitation; RV, right ventricular; RVIT, right ventricular inflow tract; RWT, relative wall thickness; SD, standard deviation; sPAP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion; TLC, total lung capacity; TR, tricuspid regurgitation; TRV, tricuspid regurgitation velocity; TTE, transthoracic echocardiography; UIP, usual interstitial pneumonia.
Table 2. Main instrumental variables detected by HCRT, spirometry, ECG and conventional TTE in the two study groups, at basal evaluation. Data are expressed as mean ± SD or as number (percentage). Significant p-values are in bold. 6MWT, six-minute walking test; ΔSaO2, absolute difference between peak exercise and rest oxygen saturation; AR, aortic regurgitation; BSA, body surface area; CAC, coronary artery calcification; DLCO, diffusing capacity of the lung for carbon monoxide; ECG, electrocardiogram; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; HRCT, high resolution computed tomography; HU, Hounsfield unit; IPF, idiopathic pulmonary fibrosis; IVC, inferior vena cava; LAVi, left atrial volume index; LV, left ventricular; LVEDD, left ventricular end-diastolic diameter; LVEDVi, left ventricular end-diastolic volume index; LVEF, left ventricular ejection fraction; LVESVi, left ventricular end-systolic volume index; LVMi, left ventricular mass index; MR, mitral regurgitation; RV, right ventricular; RVIT, right ventricular inflow tract; RWT, relative wall thickness; SD, standard deviation; sPAP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion; TLC, total lung capacity; TR, tricuspid regurgitation; TRV, tricuspid regurgitation velocity; TTE, transthoracic echocardiography; UIP, usual interstitial pneumonia.
INSTRUMENTAL PARAMETERS IPF patients
(n = 105)
Controls
(n = 102)
p-Value
Radiological findings
Definite UIP (%) 63 (60.0) / /
Probable UIP (%) 26 (24.8) / /
Indeterminate pattern (%) 16 (15.2) / /
CAC score (HU) 698.9 ± 879.8 / /
Spirometry parameters
FVC (l) 2.6 ± 0.6 / /
FVC (%) 77.6 ± 16.7 / /
FEV1 (l) 2.1 ± 0.5 / /
FEV1 (%) 82.4 ± 16.1 / /
FEV1/FVC ratio 0.8 ± 0.1 / /
TLC (l) 4.8 ± 1.1 / /
TLC (%) 76.4 ± 16.7 / /
DLCO (ml/min/mmHg) 11.4 ± 4.0 / /
DLCO (%) 47.9 ± 16.0 / /
Restrictive pattern (%) 70 (66.7) / /
ΔSaO2 (%) 6.6 ± 4.2 / /
6MWT (m) 399.3 ± 110.6 / /
ECG variables
Heart rate (bpm) 74.9 ± 15.0 74.1 ± 12.2 0.67
AF (%) 12 (11.4) 10 (9.8) 0.70
Intraventricular delay (%) 21 (20.0) 25 (24.5) 0.43
EchoDoppler parameters
LVEDD (mm) 46.5 ± 5.7 47.0 ± 6.2 0.55
RWT 0.43 ± 0.06 0.43 ± 0.07 >0.99
LVMi (g/m2) 97.5 ± 23.3 102.6 ± 29.2 0.16
Normal LV geometric pattern (%) 36 (34.3) 30 (29.4) 0.45
LV concentric remodeling (%) 48 (45.7) 40 (39.2) 0.34
LV concentric hypertrophy (%) 10 (9.5) 16 (15.7) 0.18
LV eccentric hypertrophy (%) 11 (10.5) 16 (15.7) 0.26
LVEDVi (ml/m2) 40.3 ± 11.8 38.7 ± 13.5 0.36
LVESVi (ml/m2) 15.8 ± 8.2 14.7 ± 10.3 0.39
LVEF (%) 61.9 ± 9.1 63.8 ± 9.4 0.14
E/A ratio 0.78 ± 0.18 0.75 ± 0.44 0.52
E/average e’ ratio 14.0 ± 4.5 11.9 ± 4.9 0.001
LAVi (ml/m2) 33.6 ± 10.9 34.1 ± 13.7 0.77
More than mild MR (%) 12 (11.4) 11 (10.8) 0.88
More than mild AR (%) 11 (10.5) 8 (7.8) 0.51
More than mild TR (%) 24 (22.8) 7 (6.9) 0.001
RVIT (mm) 33.1 ± 6.6 28.1 ± 4.3 <0.001
RV/LV basal diameter ratio 0.77 ± 0.23 0.70 ± 0.19 0.02
TAPSE (mm) 22.0 ± 4.7 22.9 ± 3.7 0.13
TRV (m/sec) 3.3 ± 2.7 2.6 ± 0.3 0.009
IVC (mm) 19.7 ± 4.8 17.9 ± 3.8 0.003
sPAP (mmHg) 42.0 ± 13.3 27.7 ± 6.3 <0.001
TAPSE/sPAP (mm/mmHg) 0.57 ± 0.24 0.86 ± 0.22 <0.001
Unindexed aortic root (mm) 36.4 ± 3.8 34.9 ± 4.1 0.007
Aortic root indexed to BSA (mm/m2) 19.6 ± 2.2 19.3 ± 2.4 0.35
Aortic root indexed to height (mm/m) 22.0 ± 2.3 21.2 ± 2.1 0.009
Unindexed ascending aorta (mm) 36.6 ± 4.9 35.0 ± 3.9 0.01
Ascending aorta indexed to BSA (mm/m2) 19.8 ± 3.0 19.4 ± 2.7 0.31
Ascending aorta indexed to height (mm/m) 22.1 ± 2.9 21.3 ± 2.4 0.03
Table 3. Univariate and multivariate Cox regression analyses performed for identifying the variables independently associated with the composite of “all-cause mortality plus re-hospitalization for all causes” in the whole cohort of IPF patients, over a medium-term follow-up. Significant p-values are in bold. BSA, body surface area; CAC, coronary artery calcification; CRP, C-reactive protein; FVC, forced vital capacity; HU, Hounsfield unit; LVEF, left ventricular ejection fraction; sPAP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion.
Table 3. Univariate and multivariate Cox regression analyses performed for identifying the variables independently associated with the composite of “all-cause mortality plus re-hospitalization for all causes” in the whole cohort of IPF patients, over a medium-term follow-up. Significant p-values are in bold. BSA, body surface area; CAC, coronary artery calcification; CRP, C-reactive protein; FVC, forced vital capacity; HU, Hounsfield unit; LVEF, left ventricular ejection fraction; sPAP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion.
UNIVARIATE COX
REGRESSION ANALYSIS
MULTIVARIATE COX REGRESSION ANALYSIS
VARIABLES HR 95% CI p-Value HR 95% CI p-Value
Age (yrs) 1.02 0.98-1.05 0.32
Male sex 1.33 0.77-2.31 0.31
Smoking 1.15 0.65-2.02 0.64
CRP (mg/dl) 1.12 1.05-1.20 <0.001 1.09 1.01-1.18 0.03
FVC (%) 0.98 0.96-0.99 0.002 0.98 0.97-0.99 0.02
LVEF (%) 0.97 0.94-0.99 0.03 0.98 0.95-1.00 0.11
TAPSE/sPAP ratio (mm/mmHg) 0.10 0.03-0.34 <0.001 0.23 0.07-0.76 0.02
Unindexed ascending aorta diameter 1.01 0.96-1.06 0.83
Ascending aorta diameter indexed to BSA (mm/m2) 1.00 0.89-1.11 0.39
Ascending aorta diameter indexed to height (mm/m) 1.18 1.09-1.27 <0.001 1.15 1.06-1.25 <0.001
CAC score (HU) 1.00 0.97-1.03 0.98
Beta blocker treatment 0.79 0.50-1.26 0.32
Table 4. Univariate and multivariate logistic regression analyses performed for evaluating the parameters independently associated with an ascending aorta indexed to height >20 mm/m in the entire cohort of IPF patients. Significant p-values are in bold. BSA, body surface area; CAC, coronary artery calcification; CRP, C-reactive protein; FVC, forced vital capacity; HU, Hounsfield unit; LVMi, left ventricular mass index.
Table 4. Univariate and multivariate logistic regression analyses performed for evaluating the parameters independently associated with an ascending aorta indexed to height >20 mm/m in the entire cohort of IPF patients. Significant p-values are in bold. BSA, body surface area; CAC, coronary artery calcification; CRP, C-reactive protein; FVC, forced vital capacity; HU, Hounsfield unit; LVMi, left ventricular mass index.
UNIVARIATE LOGISTIC.
REGRESSION ANALYSIS
MULTIVARIATE LOGISTIC
REGRESSION ANALYSIS
VARIABLES OR 95% CI p-Value OR 95% CI p-Value
Age (yrs) 1.03 0.95-1.11 0.43
Male sex 1.62 0.51-5.19 0.42
BSA (m2) 1.66 0.10-30.5 0.73
Hypertension 1.71 0.59-4.91 0.32
Smoking 2.20 0.67-7.23 0.19
CRP (mg/dl) x 0.1 U increase 2.00 1.30-3.06 0.001 1.87 1.21-2.89 0.005
FVC (%) 0.96 0.93-0.99 0.03 0.98 0.93-1.03 0.36
LVMi (g/m2) 1.08 1.04-1.13 <0.001 1.13 1.04-1.24 0.006
CAC score (HU) 1.02 0.95-1.09 0.52
Oral corticosteroids 1.77 0.53-5.89 0.35
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