|Year : 2021 | Volume
| Issue : 2 | Page : 178-187
|Acute exacerbation in interstitial lung disease
Esam H Alhamad1, Joseph G Cal1, Nuha N Alrajhi1, Ahmad A AlBoukai2
1 Department of Medicine, Division of Pulmonary Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
2 Department of Radiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
|Date of Submission||07-Jan-2021|
|Date of Acceptance||21-Feb-2021|
|Date of Web Publication||17-Apr-2021|
Prof. Esam H Alhamad
Department of Medicine (38), Pulmonary Division, College of Medicine, King Saud University, P.O. Box 2925, Riyadh 11461
Source of Support: None, Conflict of Interest: None
| Abstract|| |
BACKGROUND: Information regarding acute exacerbation (AE) in patients with interstitial lung disease (ILD) is limited.
OBJECTIVES: The objective of the study was to elucidate the clinical features and outcome of AE among ILD patients.
METHODS: We retrospectively analyzed the data of 667 consecutive ILD (nonidiopathic pulmonary fibrosis [IPF] ILD, n = 463; IPF, n = 204) patients. ILD patients meeting the 2016 definition of AE-IPF were identified. Information analyzed included pulmonary function tests, 6-min walk tests, and right heart catheterization data, among others. Cox regression models were used to identify independent predictors of survival.
RESULTS: AE was identified in non-IPF ILD (n = 113) and IPF (n = 74). Compared with AE-IPF patients, non-IPF ILD patients with AE were of younger age, predominantly women, and primarily nonsmokers (all, P < 0.0001). The estimated survival probabilities at 1, 3, and 5 years were 88%, 75%, and 70%, respectively, in the ILD without AE group; 80%, 57%, and 50%, respectively, in the non-IPF ILD with AE group; and 53%, 38%, and 28%, respectively, in the AE-IPF group (P < 0.0001 by log-rank analysis). Age, body mass index, IPF diagnosis, AE, diffusion capacity of the lung for carbon monoxide <35% predicted, 6-min walk distance <300 meters, and cardiac index were independent predictors of survival in the ILD cohort.
CONCLUSIONS: Non-IPF ILD patients with AE have distinct clinical features compared to AE-IPF patients. Importantly, AE is one of many independent risk factors associated with worsened outcomes regardless of the underlying ILD type.
Keywords: 6-min walk test, acute exacerbation, idiopathic pulmonary fibrosis, interstitial lung disease, survival
|How to cite this article:|
Alhamad EH, Cal JG, Alrajhi NN, AlBoukai AA. Acute exacerbation in interstitial lung disease. Ann Thorac Med 2021;16:178-87
Interstitial lung disease (ILD) comprises a large group of disorders characterized by repetitive injury to the lung parenchyma with variable degrees of inflammation and scarring depending on the underlying ILD type. Idiopathic pulmonary fibrosis (IPF), connective tissue disease (CTD)-associated ILD, chronic hypersensitivity pneumonitis, and sarcoidosis are the most common ILD subtypes seen in ILD clinics. The natural course of fibrotic ILD involves progressive worsening of underlying lung fibrosis that occurs over many years; however, a subset of ILD patients may develop acute exacerbation (AE), defined as acute deterioration of respiratory symptoms of <1 month in duration with new ground-glass opacity and/or consolidation based on computed tomography and in the absence of heart failure or fluid overload.
Although the term AE was originally described in IPF patients, accumulating evidence has shown that AE can also occur in other forms of fibrotic ILDs such as idiopathic nonspecific interstitial pneumonia (NSIP), CTD-ILD, chronic hypersensitivity pneumonitis, and sarcoidosis.,,,,, As such, it is now generally accepted that the definition of AE in IPF can also be applied in other types of fibrotic ILDs. Although some studies,,, have shown that IPF with AE is associated with poor survival compared with other ILDs, other studies,,, found no significant difference in overall survival between AE in IPF and AE in fibrotic ILDs. Nonetheless, when AE occurs, regardless of the underlying ILD diagnosis, it creates significant challenges for patients, families, clinicians, and the health-care system. As such, identifying the factors that predict the risk of AE would help clinicians understand the pathobiology of AE to provide the best preventive management strategy that can be offered, which would ultimately have a positive impact on ILD patient survival.
The aim of the present study was to determine the clinical characteristics, risk factors, and outcome of AE in a large cohort of ILD patients with variable degrees of parenchymal inflammation and fibrosis.
| Methods|| |
The present study is a retrospective analysis of data acquired from a prospective database collected at the ILD and pulmonary hypertension (PH) center at King Saud University Medical City. Consecutive patients diagnosed with various ILD subtypes between March 2008 and December 2019 were included. This study was approved by the Institutional Research Board at the College of Medicine, King Saud University, Riyadh, Saudi Arabia (approval number E-20-4608). The need to obtain written informed consent was waived because of the retrospective nature of the current study.
Demographic characteristics and physiological studies of the ILD cohort from the first ILD clinic visit were retrieved from our database. Pulmonary function testing (PFT) variables include forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), FEV1/FVC ratio, and diffusion capacity of the lung for carbon monoxide (DLco).,, In addition, 6-min walk test (6MWT) parameters, including initial and final oxygen saturation by pulse oximetry (SpO2) and 6-min walk distance (6MWD), were collected.
During the follow-up period, all ILD patients who met the proposed diagnostic criteria for AE of IPF, whether idiopathic in origin or triggered (infection, drug toxicity, or postoperative, among others), as previously described, were included. ILD patients hospitalized with symptoms resembling AE but found to be solely secondary to heart failure were excluded (n = 11).
When PH was suspected, right heart catheterization (RHC) was performed. RHC parameters were obtained from all ILD patients in stable condition. Patients were categorized as without PH (defined as the mean pulmonary artery pressure [mPAP] <21 mmHg, or mPAP 21–24 mmHg with pulmonary vascular resistance (PVR) <3 Wood units [WU]), with PH (defined as mPAP 21–24 mmHg with PVR >3 WU, or mPAP 25–34 mmHg) and with severe PH (defined as mPAP >35 mmHg or mPAP >25 mmHg with low cardiac index [CI] [<2.0 L/min/m2]) as previously described. Patients with postcapillary PH (defined as mPAP >20 mmHg with pulmonary capillary wedge pressure [PCWP] >15 mmHg and PVR <3 WU as previously described) were included in the current study.
A multidisciplinary approach involving various specialties, including pulmonology, rheumatology, radiology, and pathology, was implemented for all ILD patients after a thorough analysis of clinical, radiological, histopathological (when available), and serological test results according to established guidelines,,,,,,,,,,, and a management plan was adopted after the multidisciplinary consensus recommendation.
Data are presented as the means ± standard deviations or numbers (percentages), where appropriate. Between-group differences were compared using t-test, the Chi-square test, or Fisher's exact test, as appropriate. Survival was compared using Kaplan–Meier estimates and log-rank testing. All survival analyses were performed from the time of ILD diagnosis to death, transplant, loss to follow-up, or end of the study period (i.e., follow-up duration). Survival status was determined by contacting the patient or was retrieved from medical records. Survival time was censored on May 31, 2020; at the time, the patient underwent lung transplant or at the date of the last visit if they were lost to follow-up. Unadjusted hazard ratios were obtained for all study parameters using Cox proportional hazards regression analysis to determine risk factors for AE and ILD survival. Univariate parameters with a P < 0.05 were considered for inclusion in multivariate models to identify the independent predictors of AE and mortality among the ILD patients. P < 0.05 was considered significant, and 95% confidence intervals were used to report the precision of our results. SPSS (Statistical Package for the Social Sciences) version 18 (SPSS Inc., Chicago, IL, USA) was used for all analyses.
| Results|| |
Six hundred and sixty-seven consecutive ILD patients were identified. The incidence of AE in non-IPF-ILD and IPF was 9.6 and 16 events per 100 patient-years, respectively. Among the CTD-ILD patients, 106 patients had the usual interstitial pneumonia (UIP) pattern (without AE, n = 65; with AE, n = 41), 102 patients had an NSIP pattern (without AE n = 75; with AE, n = 27), 10 patients had organizing pneumonia (without AE n = 7; with AE, n = 3), and 7 patients had lymphocytic interstitial pneumonia (without AE, n = 6; with AE, n = 1). The underlying subtypes of CTD included 84 patients with primary Sjogren's syndrome (without AE, n = 52; with AE, n = 32), 43 patients with rheumatoid arthritis (without AE, n = 28; with AE, n = 15), 44 patients with systemic sclerosis (without AE, n = 32; with AE, n = 12), 23 patients with mixed CTD (without AE, n = 18; with AE, n = 5), 18 patients with systemic lupus erythematosus (without AE, n = 13; with AE, n = 5), and 13 patients with polymyositis (without AE, n = 10; with AE, n = 3).
Among the patients with interstitial pneumonia with autoimmune features, 26 had the UIP pattern (without AE, n = 21; with AE, n = 5), 12 patients had an NSIP pattern (without AE, n = 10; with AE, n = 2), 6 patients had organizing pneumonia (without AE, n = 4; with AE, n = 2), and two patients had lymphocytic interstitial pneumonia without AE. The clinical characteristics of the ILD patients without AE and with AE are summarized in [Table 1]. Compared to ILD patients without AE, marked baseline physiological impairments in PFTs, and 6MWT parameters were noted in the AE group [Table 1].
|Table 1: Clinical characteristics of the interstitial lung disease cohort|
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In total, 370 ILD patients underwent RHC and were categorized as 181 patients without PH (without AE, n = 124; with AE, n = 57), 104 patients with PH (without AE, n = 58; with AE, n = 46), 60 patients with severe PH (without AE, n = 34; with AE, n = 26), and 25 patients with postcapillary PH (without AE, n = 16; with AE, n = 9).
The ILD with AE comparisons of demographic, clinical, and physiological parameters between non-IPF ILD and IPF patients are summarized in [Table 2]. Non-IPF ILD patients were significantly younger, predominantly women, and primarily nonsmokers and had a higher body mass index (BMI) (all, P < 0.0001). Based on available RHC parameters, AE was more frequently noted in IPF patients without PH than in non-IPF ILD patients without PH (56.6% and 31.7%, respectively, P = 0.004). However, AE was more frequently observed in non-IPF ILD with PH than in IPF patients with PH (40% and 22.6%, respectively, P = 0.035) [Table 2]. Interestingly, baseline PFTs and 6MWT parameters were remarkably similar in the two groups [Table 2].
|Table 2: Clinical characteristics of the interstitial lung disease cohort with acute exacerbation|
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Etiology of acute exacerbation
The etiology of AE among the non-IPF-ILD patients was classified as idiopathic (n = 48) or triggered (infection, n = 47; drug induced, n = 2), and 16 patients had multiple episodes of AE of different etiologies (i.e., one admission was found to be idiopathic, and another admission at a different time was found to be triggered). However, the etiology of AE among the IPF patients was classified as idiopathic (n = 37) or triggered (infection, n = 16), and 21 patients had multiple episodes of AE of different etiologies (i.e., idiopathic and triggered).
Predictors of acute exacerbation among the interstitial lung disease cohort
A multiregression analysis for predictors of AE was performed. In the entire ILD cohort, we found that advanced age and lower percent predicted FVC, 6MWD <300 meters, and 6MWT final SpO2 <85% were independently associated with an increased risk of AE [Table 3]. In the IPF group, a lower percent predicted FVC was the only variable independently associated with an increased risk of AE [Table 4]. However, in the non-IPF ILD group, we found that advanced age and lower percent predicted FVC and higher PCWP were independently associated with an increased risk of AE [Table 5].
|Table 3: Variables predicting acute exacerbation among the interstitial lung disease cohort|
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|Table 4: Variables predicting acute exacerbation among idiopathic pulmonary fibrosis patients|
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|Table 5: Variables predicting acute exacerbation among nonidiopathic pulmonary fibrosis interstitial lung disease patients|
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Survival analysis of the interstitial lung disease cohort
In total, 147 patients died (without AE, n = 64; with AE, n = 83; P < 0.0001), and three underwent transplantation. Notably, the estimated survival probabilities at 1, 3, and 5 years were 88%, 75%, and 70%, respectively, in the ILD (IPF and non-IPF ILD) without AE group; 80%, 57%, and 50%, respectively, in the non-IPF ILD with AE group; and 53%, 38%, and 28%, respectively, in the IPF with AE group [P < 0.0001 by log-rank analysis; [Figure 1]].
|Figure 1: Kaplan–Meier survival estimates for interstitial lung disease (idiopathic pulmonary fibrosis and nonidiopathic pulmonary fibrosis interstitial lung disease) patients without acute exacerbation (blue line), nonidiopathic pulmonary fibrosis interstitial lung disease with acute exacerbation (green line), and Idiopathic pulmonary fibrosis with acute exacerbation (red line)|
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In the univariate Cox regression analysis, among the entire ILD cohort, a number of factors were associated with survival. However, in the multivariable analysis, age, BMI, IPF diagnosis, AE, DLco <35%, 6MWD <300 m, and CI were independently associated with survival [Table 6]. In the IPF group, percent predicted FVC and 6MWD <300 m were independently associated with survival [Table 7], and in the non-IPF ILD group, age, AE, and DLco <35% were independently associated with survival [Table 8].
|Table 6: Variables predicting survival in the interstitial lung disease cohort|
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|Table 7: Variables predicting survival among idiopathic pulmonary fibrosis patients|
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|Table 8: Variables predicting survival among nonidiopathic pulmonary fibrosis interstitial lung disease patients|
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| Discussion|| |
The present study describes the clinical characteristics, risk factors, and survival of AE in a large cohort of ILD patients with variable degrees of parenchymal inflammation and fibrosis. We show that 28% of the ILD patients developed AE. Importantly, the observed 1-, 3-, and 5-year survival rates of non-IPF ILD patients with AE were better than those of IPF patients with AE; however, both groups were significantly associated with decreased survival compared to ILD patients without AE.
Many precipitating factors (i.e., triggered) have been implicated in causing acute lung injury, including infection, aspiration, surgery, and drugs, among others; because acute lung injury resembles the clinical, radiological, and histopathological findings of idiopathic AE-IPF, the international working group has revised the definition and diagnostic criteria for AE-IPF where both terms idiopathic and triggered events are included. Although there are no consensus recommendations regarding the definition of AE in non-IPF ILD, it has been recently proposed that applying the same definition of AE-IPF in non-IPF ILD will provide useful information for this poorly studied group of patients.
Significant variation among studies was noted with regard to the incidence, clinical characteristics, and outcome of AE in non-IPF ILD patients.,,,,, Different methodologies, ILD types, sample sizes, environmental factors, smoking habits, races, and other factors may explain the observed variation. As such, the findings from other studies and ours should be interpreted in the context of the studied populations. Nonetheless, studies of AE in non-IPF ILD across different populations will enrich our understanding of the clinical behavior, risk factors, and outcomes, which offers the best hope of developing effective preventive measures against this devastating complication.
In the present study, we found that the incidence of AE in non-IPF-ILD and IPF was 9.6 and 16 events per 100 patient-years, respectively. Moreover, the clinical features of patients with AE in the non-IPF ILD group reveal that they are of younger age, predominantly female, and primarily nonsmokers. While the rate of idiopathic AE was similar between IPF and non-IPF-ILD, we noted that the triggered events were more frequently observed in the non-IPF ILD group (43.3%) than in the AE-IPF group (21.6%), likely a result of the use of various immunomodulatory therapies that put non-IPF ILD patients at higher risk of acquiring infection.
Several risk factors have been implicated in AE-IPF including nonsmoking status, low FVC, low DLco, reduced 6MWD, poor baseline oxygenation, PH, and recent decline in FVC.,,,, Interestingly, studies examining risk factors for AE in non-IPF ILD noted baseline FVC, BMI, total lung capacity, DLco, and partial pressure of oxygen were independent predictors of AE.,, Thus, the similarity in AE risk factors between IPF and non-IPF ILD is not surprising since both diseases share similar lung injury, and importantly, both involve background lung fibrosis. In the present study, we found that advanced age, lower FVC, 6MWD <300 m, and desaturation at the end of the 6MWT <85% were independent predictors of AE in ILD patients. As such, our findings, along with the cited studies, support the notion that advanced ILD disease is more susceptible to the development of AE. Furthermore, our findings attest to the parameters obtained from the 6MWT as a test that captures patients at increased risk of AE.
Interestingly, in the non-IPF ILD group, we found that parameters obtained from RHC, such as right atrial pressure, mPAP, systolic PAP, diastolic PAP, PCWP, and PVR, were significantly associated with an increased risk of AE in the univariate analysis. However, in the multivariate analysis, only PCWP emerged as an independent predictor of AE. Although we excluded all cases admitted due to heart failure and volume overload from the analysis as stated in the definition of AE-IPF and the number of patients (n = 4) diagnosed with postcapillary PH in this group was small, our results imply that a subset of patients with abnormal filling pressure are at significantly increased risk of developing AE. A potential explanation is that the downstream effects of congestion on other organs due to elevated filling pressure may result in the release of inflammatory mediators such as interleukin (IL)-6 and activation of endothelial cells similar to those observed in heart failure and renal failure.,, In line with this observation, previous studies have shown that IL-6, IL-8, markers of type II alveolar epithelial cell injury, endothelial cell injury, and coagulation were significantly elevated in patients with AE-IPF compared to stable IPF patients., Nonetheless, the association between elevated PCWP and increased risk of AE in the non-IPF ILD patients noted in our study is intriguing and needs to be validated along with measurements of serum inflammatory mediators and markers of Type II alveolar epithelial cell injury.
Several studies have shown that the development of AE in both IPF and non-IPF ILD is associated with poor survival.,,,,,,, Although the overall survival in the non-IPF ILD patients with AE was significantly better than that in the AE-IPF patients in the present study, we showed that survival in both groups was significantly worse than that in the ILD group without AE. Furthermore, we demonstrate that the development of AE was associated with a 1.7-fold increased risk of mortality regardless of the underlying ILD type, highlighting the urgent need to develop effective preventive measures that would ultimately have a positive impact on ILD patient survival. In univariate Cox regression analysis, a number of factors were associated with ILD survival; however, in multivariate analysis, we found that age, BMI, IPF diagnosis, AE, DLCO <35% predicted, 6MWD <300 m, and CI emerged as independent predictors of survival. In a Japanese cohort with various ILD types, Suzuki et al. noted that fibrotic ILD, age, male sex, FVC, DLco, BMI, modified Medical Research Council dyspnea scale, UIP pattern, and AE were independent predictors of survival. As such, our findings are consistent with other racial cohorts, and importantly, we have identified additional variables highlighting the importance of parameters obtained from the 6MWT and RHC as prognostic markers in ILD patients.
The present study had several strengths and limitations. The strengths include enrolling a large consecutive cohort of ILD patients from one center. All physiological and hemodynamic variables used in the present study were collected at the time when the patient was first seen at our center. In addition, more than half of our ILD cohort underwent RHC at the time of establishing ILD diagnosis, which contributes added beneficial information to the risk of AE and overall ILD survival. Last, because the 6MWT is simple, inexpensive, well received by patients and mimics daily physical activity, our findings have several potential implications for clinicians evaluating ILD patients. We show that parameters obtained from this test are capable of identifying ILD patients at increased risk of AE and can serve as surrogate markers of increased mortality among ILD patients. Limitations including the retrospective analysis may have introduced selection and information bias, although data were acquired prospectively. All patients in the present study were from the Saudi population; thus, our results may not be extrapolated to other populations. Finally, institutional bias may have occurred due to the most severe cases being referred to our center, which may have led to overestimation of the incidence of AE and mortality of ILD patients in this region.
| Conclusions|| |
This study describes the clinical features, risk factors, and outcome of AE in diverse ILD patients with variable degrees of parenchymal inflammation and fibrosis, which highlights a number of important issues pertaining to this serious complication. AE in non-IPF ILD patients has distinct clinical features; they are younger, predominantly women, and primarily nonsmokers. We show that AE in IPF and non-IPD ILD is common and associated with poor survival. Importantly, the development of AE was associated with a nearly 2-fold increased risk of mortality regardless of the underlying ILD type. Our study clearly demonstrates that parameters obtained from PFTs and the 6MWT are important surrogate markers for AE and mortality among ILD patients.
The authors thank Saudi Thoracic Society for their support. Authors are grateful to our research nurse coordinator at the ILD and PH center, PFT technicians, and medical records at King Saud University medical City for their assistance and support of the present research project.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Collard HR, Ryerson CJ, Corte TJ, Jenkins G, Kondoh Y, Lederer DJ, et al
. Acute exacerbation of idiopathic pulmonary fibrosis. An international working group report. Am J Respir Crit Care Med 2016;194:265-75.
Park IN, Kim DS, Shim TS, Lim CM, Lee SD, Koh Y, et al
. Acute exacerbation of interstitial pneumonia other than idiopathic pulmonary fibrosis. Chest 2007;132:214-20.
Olson AL, Huie TJ, Groshong SD, Cosgrove GP, Janssen WJ, Schwarz MI, et al
. Acute exacerbations of fibrotic hypersensitivity pneumonitis: A case series. Chest 2008;134:844-50.
Miyazaki Y, Tateishi T, Akashi T, Ohtani Y, Inase N, Yoshizawa Y. Clinical predictors and histologic appearance of acute exacerbations in chronic hypersensitivity pneumonitis. Chest 2008;134:1265-70.
Suda T, Kaida Y, Nakamura Y, Enomoto N, Fujisawa T, Imokawa S, et al
. Acute exacerbation of interstitial pneumonia associated with collagen vascular diseases. Respir Med 2009;103:846-53.
Arai T, Kagawa T, Sasaki Y, Sugawara R, Sugimoto C, Tachibana K, et al
. Heterogeneity of incidence and outcome of acute exacerbation in idiopathic interstitial pneumonia. Respirology 2016;21:1431-7.
Panselinas E, Judson MA. Acute pulmonary exacerbations of sarcoidosis. Chest 2012;142:827-36.
Kolb M, Bondue B, Pesci A, Miyazaki Y, Song JW, Bhatt NY, et al
. Acute exacerbations of progressive-fibrosing interstitial lung diseases. Eur Respir Rev 2018;27:180071. DOI: 10.1183/16000617.0071-2018.
Moua T, Westerly BD, Dulohery MM, Daniels CE, Ryu JH, Lim KG. Patients with fibrotic interstitial lung disease hospitalized for acute respiratory worsening: A large cohort analysis. Chest 2016;149:1205-14.
Cao M, Sheng J, Qiu X, Wang D, Wang Y, Xiao Y, et al
. Acute exacerbations of fibrosing interstitial lung disease associated with connective tissue diseases: A population-based study. BMC Pulm Med 2019;19:215.
Salonen J, Purokivi M, Bloigu R, Kaarteenaho R. Prognosis and causes of death of patients with acute exacerbation of fibrosing interstitial lung diseases. BMJ Open Respir Res 2020;7:e000563. doi: 10.1136/bmjresp-2020-000563.
Alhamad EH, Cal JG, Alrajhi NN, Aharbi WM, AlRikabi AC, AlBoukai AA. Clinical characteristics, comorbidities, and outcomes in patients with idiopathic pulmonary fibrosis. Ann Thorac Med 2020;15:208-14. [Full text]
Usui Y, Kaga A, Sakai F, Shiono A, Komiyama K, Hagiwara K, et al
. A cohort study of mortality predictors in patients with acute exacerbation of chronic fibrosing interstitial pneumonia. BMJ Open 2013;3:1-9. http://dx.doi.org/10.1136/bmjopen-2013-002971xs
Murohashi K, Hara Y, Saigusa Y, Kobayashi N, Sato T, Yamamoto M, et al
. Clinical significance of Charlson comorbidity index as a prognostic parameter for patients with acute or subacute idiopathic interstitial pneumonias and acute exacerbation of collagen vascular diseases-related interstitial pneumonia. J Thorac Dis 2019;11:2448-57.
Enomoto N, Oyama Y, Enomoto Y, Yasui H, Karayama M, Kono M, et al
. Differences in clinical features of acute exacerbation between connective tissue disease-associated interstitial pneumonia and idiopathic pulmonary fibrosis. Chron Respir Dis 2019;16:1479972318809476. doi: 10.1177/1479972318809476.
Suzuki A, Kondoh Y, Brown KK, Johkoh T, Kataoka K, Fukuoka J, et al
. Acute exacerbations of fibrotic interstitial lung diseases. Respirology 2020;25:525-34.
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al
. Standardisation of spirometry. Eur Respir J 2005;26:319-38.
Wanger J, Clausen JL, Coates A, Pedersen OF, Brusasco V, Burgos F, et al
. Standardisation of the measurement of lung volumes. Eur Respir J 2005;26:511-22.
Macintyre N, Crapo RO, Viegi G, Johnson DC, van der Grinten CP, Brusasco V, et al
. Standardisation of the single-breath determination of carbon monoxide uptake in the lung. Eur Respir J 2005;26:720-35.
ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: Guidelines for the six-minute walk test. Am J Respir Crit Care Med 2002;166:111-7.
Nathan SD, Barbera JA, Gaine SP, Harari S, Martinez FJ, Olschewski H, et al
. Pulmonary hypertension in chronic lung disease and hypoxia. Eur Respir J 2019;53:1801914. DOI: 10.1183/13993003.01914-2018.
Simonneau G, Montani D, Celermajer DS, Denton CP, Gatzoulis MA, Krowka M, et al
. Haemodynamic definitions and updated clinical classification of pulmonary hypertension. Eur Respir J 2019;53:1801913. DOI: 10.1183/13993003.01913-2018.
Raghu G, Collard HR, Egan JJ, Martinez FJ, Behr J, Brown KK, et al
. An official ATS/ERS/JRS/ALAT statement: Idiopathic pulmonary fibrosis: Evidence-based guidelines for diagnosis and management. Am J Respir Crit Care Med 2011;183:788-824.
Raghu G, Remy-Jardin M, Myers JL, Richeldi L, Ryerson CJ, Lederer DJ, et al
. Diagnosis of Idiopathic Pulmonary Fibrosis. An Official ATS/ERS/JRS/ALAT Clinical Practice Guideline. Am J Respir Crit Care Med 2018;198:e44-e68.
Travis WD, Costabel U, Hansell DM, King TE, Jr., Lynch DA, Nicholson AG, et al
. An official American Thoracic Society/European Respiratory Society statement: Update of the international multidisciplinary classification of the idiopathic interstitial pneumonias. Am J Respir Crit Care Med 2013;188:733-48.
Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO, et al
.: 2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum 2010;62:2569-81.
Aringer M, Costenbader K, Daikh D, Brinks R, Mosca M, Ramsey-Goldman R, et al
. 2019 European League Against Rheumatism/American College of Rheumatology Classification Criteria for Systemic Lupus Erythematosus. Arthritis Rheumatol 2019;71:1400-12.
Fischer A, Antoniou KM, Brown KK, Cadranel J, Corte TJ, du Bois RM, et al
. An official European Respiratory Society/American Thoracic Society research statement: Interstitial pneumonia with autoimmune features. Eur Respir J 2015;46:976-87.
Shiboski CH, Shiboski SC, Seror R, Criswell LA, Labetoulle M, Lietman TM, et al
. 2016 American College of Rheumatology/European League Against Rheumatism classification criteria for primary Sjögren's syndrome: A consensus and data-driven methodology involving three international patient cohorts. Ann Rheum Dis 2017;76:9-16.
Shiboski SC, Shiboski CH, Criswell L, Baer A, Challacombe S, Lanfranchi H, et al
. American College of Rheumatology classification criteria for Sjogren's syndrome: A data-driven, expert consensus approach in the Sjogren's International Collaborative Clinical Alliance cohort. Arthritis Care Res (Hoboken) 2012;64:475-87.
Tani C, Carli L, Vagnani S, Talarico R, Baldini C, Mosca M, et al
. The diagnosis and classification of mixed connective tissue disease. J Autoimmun 2014;48-49:46-9.
van den Hoogen F, Khanna D, Fransen J, Johnson SR, Baron M, Tyndall A, et al
. 2013 classification criteria for systemic sclerosis: An American College of Rheumatology/European League against Rheumatism collaborative initiative. Arthritis Rheum 2013;65:2737-47.
Judson MA, Costabel U, Drent M, Wells A, Maier L, Koth L, et al
. The WASOG Sarcoidosis Organ Assessment Instrument: An update of a previous clinical tool. Sarcoidosis Vasc Diffuse Lung Dis 2014;31:19-27.
Song JW, Hong SB, Lim CM, Koh Y, Kim DS. Acute exacerbation of idiopathic pulmonary fibrosis: Incidence, risk factors and outcome. Eur Respir J 2011;37:356-63
Mura M, Porretta MA, Bargagli E, Sergiacomi G, Zompatori M, Sverzellati N, et al
. Predicting survival in newly diagnosed idiopathic pulmonary fibrosis: A 3-year prospective study. Eur Respir J 2012;40:101-9.
Collard HR, Yow E, Richeldi L, Anstrom KJ, Glazer C, IPFnet investigators. Suspected acute exacerbation of idiopathic pulmonary fibrosis as an outcome measure in clinical trials. Respir Res 2013;14:73.
Judge EP, Fabre A, Adamali HI, Egan JJ. Acute exacerbations and pulmonary hypertension in advanced idiopathic pulmonary fibrosis. Eur Respir J 2012;40:93-100.
Matsumoto M, Tsujino T, Lee-Kawabata M, Naito Y, Sakoda T, Ohyanagi M, et al
. Serum interleukin-6 and C-reactive protein are markedly elevated in acute decompensated heart failure patients with left ventricular systolic dysfunction. Cytokine 2010;49:264-8.
Barreto DV, Barreto FC, Liabeuf S, Temmar M, Lemke HD, Tribouilloy C, et al
. Plasma interleukin-6 is independently associated with mortality in both hemodialysis and pre-dialysis patients with chronic kidney disease. Kidney Int 2010;77:550-6.
Colombo PC, Onat D, Harxhi A, Demmer RT, Hayashi Y, Jelic S, et al
. Peripheral venous congestion causes inflammation, neurohormonal, and endothelial cell activation. Eur Heart J 2014;35:448-54.
Collard HR, Calfee CS, Wolters PJ, Song JW, Hong SB, Brady S, et al
. Plasma biomarker profiles in acute exacerbation of idiopathic pulmonary fibrosis. Am J Physiol Lung Cell Mol Physiol 2010;299:L3-7.
Papiris SA, Tomos IP, Karakatsani A, Spathis A, Korbila I, Analitis A, et al
. High levels of IL-6 and IL-8 characterize early-on idiopathic pulmonary fibrosis acute exacerbations. Cytokine 2018;102:168-72.
Alhamad EH, Cal JG, Alrajhi NN, Alharbi WM. Predictors of Mortality in Patients with Interstitial Lung Disease-Associated Pulmonary Hypertension. J Clin Med 2020;9:3828. doi: 10.3390/jcm9123828.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8]
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