Abstract
Objectives
To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE).
Methods
This retrospective study included patients with chronic HP with follow-up CT. Baseline and serial follow-up CT were evaluated semi-quantitatively. Fibrosis score was defined as the sum of the area with reticulation and honeycombing. The modified CT pattern of Fleischner Society idiopathic pulmonary fibrosis diagnostic guidelines was evaluated. Cox proportional hazards regression was performed to determine significant variables associated with fibrotic progression and AEs.
Results
Of 91 patients, mean age was 59.1 years and 61.5% were women. The median follow-up period was 4.9 years. Seventy-nine patients (86.8%) showed fibrotic progression with persistent areas of mosaic attenuation, finally replaced by fibrosis, and 20 (22.0%) developed AE. Baseline fibrosis score and CT pattern of usual interstitial pneumonia (UIP)/probable UIP were independent risk factors for predicting fibrotic progression (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.02–1.09, p < 0.001, for fibrosis score; HR = 2.50, CI = 1.50–4.16, p < 0.001, for CT pattern) and AEs (HR = 1.07, CI = 1.01–1.13, p = 0.019, for fibrosis score; HR = 5.47, CI = 1.23–24.45, p = 0.026, for CT pattern) after adjusting clinical covariables.
Conclusion
Fibrotic progression and AE were identified in 86.8% and 22.0% of patients with chronic HP. Fibrosis score and CT pattern of UIP/probable UIP on baseline chest CT may predict fibrotic progression and AE.
Key Points
• Most patients (87%) showed fibrotic progression on long-term follow-up with persistent areas of mosaic attenuation that were finally replaced by fibrosis at a later stage.
• One-fifth of patients (22%) experienced acute exacerbation associated with worse prognosis.
• Fibrosis score (sum of reticulation and honeycombing) and CT pattern of UIP/probable UIP on baseline CT were independent predictors for predicting fibrotic progression and acute exacerbation.
Similar content being viewed by others
Abbreviations
- AE:
-
Acute exacerbation
- AUC:
-
Area under the receiver operating characteristic curve
- BAL:
-
Bronchoalveolar lavage
- CI:
-
Confidence interval
- CT:
-
Computed tomography
- DLCO :
-
Diffusing capacity for carbon monoxide
- FEV1 :
-
Forced expiratory volume in 1 s
- FVC:
-
Forced vital capacity
- GGO:
-
Ground-glass opacity
- HP:
-
Hypersensitivity pneumonitis
- IPF:
-
Idiopathic pulmonary fibrosis
- ROC:
-
Receiver operating characteristic
- UIP:
-
Usual interstitial pneumonia
References
Selman M, Pardo A, King TE Jr (2012) Hypersensitivity pneumonitis: insights in diagnosis and pathobiology. Am J Respir Crit Care Med 186:314–324
Vasakova M, Morell F, Walsh S, Leslie K, Raghu G (2017) Hypersensitivity pneumonitis: perspectives in diagnosis and management. Am J Respir Crit Care Med 196:680–689
Chung JH, Zhan X, Cao M et al (2017) Presence of air trapping and mosaic attenuation on chest computed tomography predicts survival in chronic hypersensitivity pneumonitis. Ann Am Thorac Soc 14:1533–1538
Chiba S, Tsuchiya K, Akashi T et al (2016) Chronic hypersensitivity pneumonitis with a usual interstitial pneumonia-like pattern: correlation between histopathologic and clinical findings. Chest 149:1473–1481
Salisbury ML, Gu T, Murray S et al (2019) Hypersensitivity pneumonitis: radiologic phenotypes are associated with distinct survival time and pulmonary function trajectory. Chest 155:699–711
Walsh SL, Sverzellati N, Devaraj A, Wells AU, Hansell DM (2012) Chronic hypersensitivity pneumonitis: high resolution computed tomography patterns and pulmonary function indices as prognostic determinants. Eur Radiol 22:1672–1679
Wang P, Jones KD, Urisman A et al (2017) Pathologic findings and prognosis in a large prospective cohort of chronic hypersensitivity pneumonitis. Chest 152:502–509
Kolb M, Bondue B, Pesci A et al (2018) Acute exacerbations of progressive-fibrosing interstitial lung diseases. Eur Respir Rev 27:180071
Moua T, Westerly BD, Dulohery MM, Daniels CE, Ryu JH, Lim KG (2016) Patients with fibrotic interstitial lung disease hospitalized for acute respiratory worsening: a large cohort analysis. Chest 149:1205–1214
Miyazaki Y, Tateishi T, Akashi T, Ohtani Y, Inase N, Yoshizawa Y (2008) Clinical predictors and histologic appearance of acute exacerbations in chronic hypersensitivity pneumonitis. Chest 134:1265–1270
Meyer KC, Raghu G, Baughman RP et al (2012) An official American Thoracic Society clinical practice guideline: the clinical utility of bronchoalveolar lavage cellular analysis in interstitial lung disease. Am J Respir Crit Care Med 185:1004–1014
Collard HR, Moore BB, Flaherty KR et al (2007) Acute exacerbations of idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 176:636–643
Best AC, Meng J, Lynch AM et al (2008) Idiopathic pulmonary fibrosis: physiologic tests, quantitative CT indexes, and CT visual scores as predictors of mortality. Radiology 246:935–940
Bhalla M, Turcios N, Aponte V et al (1991) Cystic fibrosis: scoring system with thin-section CT. Radiology 179:783–788
Lynch DA, Sverzellati N, Travis WD et al (2018) Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society white paper. Lancet Respir Med 6:138–153
Jacob J, Hirani N, van Moorsel CHM et al (2019) Predicting outcomes in rheumatoid arthritis related interstitial lung disease. Eur Respir J 53:1800869
Ogluszka M, Orzechowska M, Jedroszka D, Witas P, Bednarek AK (2019) Evaluate cutpoints: adaptable continuous data distribution system for determining survival in Kaplan-Meier estimator. Comput Methods Programs Biomed 177:133–139
Heagerty PJ, Lumley T, Pepe MS (2000) Time-dependent roc curves for censored survival data and a diagnostic marker. Biometrics 56:337–344
Churg A, Sin DD, Everett D, Brown K, Cool C (2009) Pathologic patterns and survival in chronic hypersensitivity pneumonitis. Am J Surg Pathol 33:1765–1770
Hanak V, Golbin JM, Hartman TE, Ryu JH (2008) High-resolution ct findings of parenchymal fibrosis correlate with prognosis in hypersensitivity pneumonitis. Chest 134:133–138
Chung JH, Montner SM, Adegunsoye A et al (2017) CT findings associated with survival in chronic hypersensitivity pneumonitis. Eur Radiol 27:5127–5135
Jacob J, Bartholmai BJ, Egashira R et al (2017) Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis. BMC Pulm Med 17:81
Tateishi T, Ohtani Y, Takemura T et al (2011) Serial high-resolution computed tomography findings of acute and chronic hypersensitivity pneumonitis induced by avian antigen. J Comput Assist Tomogr 35:272–279
Acknowledgments
We express our gratitude to Seonok Kim and Hwa Jung Kim of the Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, for valuable advice regarding the statistical analysis.
Funding
The authors state that this work has not received any funding.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Guarantor
The scientific guarantor of this publication is Eun Jin Chae.
Conflict of interest
The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
Seonok Kim of the Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, kindly provided statistical advice for this manuscript.
Informed consent
Written informed consent was waived by the Institutional Review Board.
Ethical approval
Institutional Review Board approval was obtained.
Methodology
• retrospective
• diagnostic or prognostic study
• performed at one institution
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
ESM 1
(DOCX 588 kb)
Rights and permissions
About this article
Cite this article
Choe, J., Chae, E.J., Kim, Y.J. et al. Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation. Eur Radiol 31, 3993–4003 (2021). https://doi.org/10.1007/s00330-020-07469-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-020-07469-2