Tuberc Respir Dis > Volume 89(3); 2026 > Article
Park: Prevalence and Prognostic Impact of Progressive Pulmonary Fibrosis

Abstract

Progressive pulmonary fibrosis (PPF) is a clinical phenotype observed in various interstitial lung diseases (ILDs) other than idiopathic pulmonary fibrosis. It is characterized by worsening fibrosis on high-resolution computed tomography, a progressive decline in lung function, and deteriorating respiratory symptoms. Despite shared pathophysiological mechanisms, the rate of disease progression and clinical outcomes vary significantly among the different subtypes of PPF. Key predictors of poor prognosis include advanced age, male sex, rapid lung function decline, hypoxemia, pulmonary hypertension, and radiologic features such as a usual interstitial pneumonia pattern and traction bronchiectasis. Genetic factors, particularly telomere shortening and mutations in telomere-related genes, have emerged as important determinants of prognosis and therapeutic response. Acute exacerbations of PPF are associated with a poor shortterm prognosis and represent a major cause of morbidity and mortality in PPF. The introduction of antifibrotic therapies has significantly altered the management of PPF by slowing the decline in lung function. However, their impact on long-term survival remains under investigation.

Key Figure

Introduction

A subset of diffuse interstitial lung diseases (ILDs), apart from idiopathic pulmonary fibrosis (IPF), can present a progressive fibrosing (PF) phenotype known as progressive pulmonary fibrosis (PPF). This condition is characterized by increasing fibrotic changes observed on high-resolution computed tomography (HRCT), a progressive decline in lung function, and worsening respiratory symptoms [1-3]. Various definitions have been proposed and adopted across studies (Table 1) [1,2,4,5]. In the 2022 joint statement by the American Thoracic Society (ATS), European Respiratory Society (ERS), Japanese Respiratory Society, and Asociación Latinoamericana de Tórax, this group of patients was formally defined as PPF (Table 1) [1]. Premature initiation of antifibrotic monotherapy may limit the potential benefits of immunomodulatory therapy, which is still suitable for selected patients with non-IPF fibrosing interstitial lung disease (fILD) at the time of presentation [2]. Therefore, according to an expert group consensus statement from the ERS, the term PPF was reserved for cases in which fibrosis continues to progress despite appropriate management, at which point antifibrotic therapy should be considered [2].
This phenotype is rare in the general population but becomes significantly more common with advancing age [6]. PPF includes a variety of etiologies, such as idiopathic interstitial pneumonias other than IPF. These include idiopathic nonspecific interstitial pneumonia (iNSIP), cryptogenic organizing pneumonia, unclassifiable interstitial lung disease (uILD), connective tissue disease (CTD)-associated ILD, fibrotic hypersensitivity pneumonitis (fHP), interstitial pneumonia with autoimmune features (IPAF), familial pulmonary fibrosis, drug-induced ILD, and sarcoidosis [2,7]. Although various subtypes of PPF share common pathophysiological mechanisms, clinical outcomes and prognoses can differ significantly based on age, underlying etiology, radiologic and physiologic features, telomere biology, and responses to available therapies [2,4,8]. Identifying prognostic factors within a pure PPF cohort remains challenging. Therefore, this article aims to examine the prevalence, prognostic factors, and outcomes associated with PPF.

Epidemiology of PPF

Determining the prevalence of PPF is challenging due to the heterogeneous nature of its underlying diseases, the historical lack of approved therapies, and the evolving diagnostic criteria.
Among non-IPF ILDs, a significant proportion of patients develop a PF phenotype. A systematic review of 16 studies has reported that the prevalence of PF-ILD (progressive fibrosing interstitial lung disease) ranges from 13% to 40% of non-IPF ILD cases, with an estimated prevalence of 2.2 to 20 per 100,000 in Europe and 28 per 100,000 in the United States [9]. In a European cohort, 27.2% of patients with ILD other than IPF were reported to progress to PPF, with prevalence varying based on the underlying ILD etiology [10].
Among the various fibrotic ILDs, PPF is most fre quently observed in CTD-ILD, fHP, and iNSIP [2,7]. In contrast, its prevalence is lower in other fibrotic ILDs, such as sarcoidosis and drug-induced ILD [2,7]. The prevalence of PPF also varies regionally, reflecting differences in occupational and environmental exposures [8,11]. For example, fHP, a well-established etiological contributor to PPF, is more prevalent in agricultural and industrial regions due to the common prolonged exposure to organic dust and airborne antigens [8,11].
PPF predominantly affects older adults, with most cases diagnosed in patients over 60 years of age. This suggests that aging-related biological mechanisms, such as telomere shortening and cellular senescence, may contribute to the progression of ILD [12,13]. While the incidence of PPF is higher in men than in women, with a male-to-female ratio ranging from 1.5:1 to 2:1, certain forms of PPF, such as CTD-ILD, are more common in women. This reflects the higher prevalence of autoimmune diseases in females [4,14]. The prevalence of PPF varies according to each etiologic subtype as summarized in Table 2.
Few studies have evaluated the development of PPF according to current criteria within ILD cohorts. In a single-center study by Kim et al. [15] enrolling 110 patients with CTD-ILD, 24.5% progressed to PPF. Among those who developed PPF, rheumatoid arthritis (RA) was the most common underlying CTD (33%), followed by Sjögren's disease (30%), systemic sclerosis (SSc) (18%), and myositis (15%). In NSIP, a progressive phenotype is reported in 26.3% of iNSIP cases and in 49% of fibrotic NSIP [16,17]. In a study of SSc-ILD, where fibrosis extent on HRCT stratified individuals into three groups: >20% fibrosis, 1%-20% fibrosis, and no fibrosis, over a mean 3.1-year follow-up, annual fibrosis progression rate was highest (5.9%) in those who advanced from 1%-20% to >20% fibrosis [18]. Progression correlated with forced vital capacity (FVC) decline but not with diffusion capacity of the lungs for carbon monoxide (DLCO) [18]. According to a study in RA-ILD, 39.7% of patients (median predicted FVC 71% and DLCO 54.5%) reached a DLCO <40% predicted, and 21.6% reached an FVC <50% predicted within 5 years of diagnosis [19]. Among 348 patients with polymyositis/dermatomyositis, 32.7% showed improvement during follow-up, while 15.9% experienced progression, defined as a decline of ≥10% in FVC and/or ≥15% in DLCO [20]. In sarcoidosis, pulmonary fibrosis was observed in 17% of 740 patients [21]. Additionally, bronchiectasis detected on HRCT was linked to a higher frequency of acute worsening compared to patients without bronchiectasis [21]. In primary Sjögren’s syndrome, 55.3% had a PPF phenotype with usual interstitial pneumonia (UIP) in 42.3% of the cases and NSIP in 57.7% [22].

Prognostic Factors

Multiple prognostic factors, including demographic characteristics, lung function decline, radiological features, genetic predisposition, and circulating biomarkers—some of which are specific to the disease—can influence the clinical trajectory of PPF, ultimately affecting both prognosis and therapeutic outcomes (Tables 3, 4) [2,8,10,23-29].

1. General factors

PPF is a complex and life-threatening condition, characterized by significant variability in progression rates among patients with ILD. Several factors increase the risk of developing PPF in individuals with ILD [2,8]. Established risk factors for progressive fibrosis, despite therapeutic management, include a UIP pattern, extensive traction bronchiectasis on HRCT, rapid disease progression, lack of response to initial therapy, short telomere length, and advanced age (Table 3) [2,8]. The prognosis of PPF is also influenced by the underlying etiology of ILD [10,30]. For example, patients with CTD-ILD typically have a more favorable prognosis than those with hypersensitivity pneumonitis (HP) or uILD [10,30]. Among non-IPF ILD subtypes, uILD, defined as an ILD in which a definitive ILD subtype cannot be established, is associated with a high risk of disease progression [10].

2. Demographic and clinical factors

Advanced age is generally associated with more rapid lung function decline and poorer prognosis in PPF [2,8,31,32]. Males often experience worse survival outcomes than females, possibly due to the links between higher testosterone levels and shorter telomere length, as well as a greater burden of cardiovascular comorbidities in males [8,33-36]. Moreover, a history of smoking is associated with greater disease severity in RA and increased mortality in HP [31,37,38]. Among comorbid conditions, pulmonary hypertension in patients with CTD-ILD is significantly associated with a poorer prognosis compared to those without pulmonary hypertension [39,40]. In a cohort of 105 patients with ILD followed for at least 72 months, including CTD-ILD (23.6%), IPAF (21.3%), NSIP (14.6%), and fHP (13.4%), pulmonary hypertension was present in 84.7% of cases [39]. The study found that patients with pulmonary hypertension had a significantly lower 5-year survival rate compared to those without pulmonary hypertension (35% vs. 100%) [39].

3. Physiological factors

Lung function parameters, including FVC and DLCO, are key indicators of disease severity and progression [41,42]. A decline in FVC is associated with a significantly increased risk of mortality in fILD, and a reduction in DLCO reflects worsening gas exchange and correlates with a poorer survival rate [41-44].
In PPF, the oxygenation status offers crucial insights into prognosis and disease progression [23]. According to Khor’s study [23], the presence of exertional or resting hypoxemia at the time patients meeting PPF criteria is independently associated with reduced transplant-free survival, even after adjusting for demographic factors and baseline lung function. Furthermore, their study showed that desaturation assessed by the 6-minute walk test (6MWT) is associated with a shorter median time to PPF development [23].

4. Radiological factors

HRCT findings offer crucial prognostic information regarding PPF. Specifically, the presence of a UIP pattern, extensive traction bronchiectasis, and the extent of the disease are strongly associated with a more aggressive progression and poorer outcomes [1,2,8,36,45]. Moreover, progressive radiographic fibrosis over time has been identified as an independent predictor of mortality, underscoring the importance of longitudinal radiographic monitoring in PPF [10,44].
However, even with a UIP computed tomography (CT) pattern, lung function trajectories and survival may still vary based on the underlying etiology [46,47]. A recent study found that CTD-ILD with a UIP CT pattern was consistently linked to a slower decline in FVC and better transplant-free survival compared to IPF [46]. Recent evidence in PPF indicates that quantitative computed tomography measurements are linked to clinically relevant outcomes. Specifically, increasing ground-glass opacity and decreasing lung volume are consistently associated with reduced transplant-free survival across various cohorts [48].

5. Genetic and biomarker-based prognostic factors

Biomarkers currently under investigation for their potential association with PPF include Krebs von den Lungen-6 (KL-6), matrix metalloproteinase-7 (MMP-7), chemokine ligand-18 (CCL18), surfactant proteins A and D (SP-A and SP-D), and interleukin-6 (IL-6), etc [1,2,49-53]. Elevated serum KL-6 levels have been shown to correlate with greater fibrosis burden and a higher rate of disease progression in CTD-ILD [54]. A recent study analyzing the INBUILD trial by Maher et al. [55] reported that, among circulating biomarkers, only the baseline level of intercellular adhesion molecule-1 (ICAM-1) was associated with the rate of decline in FVC over 52 weeks. Additionally, nintedanib reduced circulating cancer antigen 125 (CA-125) in subjects with PPF [55].
However, the usefulness of circulating biomarkers as predictors of disease progression, acute exacerbation (AE), and mortality in PPF has yet to be validated in prospective studies [1,2]. Consequently, serum biomarkers are not currently utilized in clinical practice for risk stratification or disease monitoring in PPF. Prospective data are needed before these biomarkers can be established as standard diagnostic or prognostic tools. Genetic mutations and telomere biology are increasingly recognized as important predictors of disease behavior in PPF. In HP, MUC5B rs35705950 and short telomere length have been independently associated with the extent of radiographic fibrosis [24]. However, neither MUC5B rs35705950 nor Toll-interacting protein (TOLLIP) rs5743890 was associated with survival outcomes in HP [24]. In contrast, in IPF, the minor allele of rs35705950 (a single-nucleotide polymorphism [SNP] in MUC5B) is associated with improved survival, while the minor allele of rs5743890 (an SNP in TOLLIP) correlates with worse survival [56,57]. Among patients with IPAF, the MUC5B rs35705950 variant was associated with reduced survival, whereas the TOLLIP rs5743890 variant showed no significant association with survival [13]. Recent evidence also suggested that the MUC5B promoter variant rs35705950 is associated with an increased risk of ILD and UIP in RA [58]. Mutations in telomere-related genes (e.g., Telomerase Reverse Transcriptase [TERT], Telomerase RNA Component [TERC], Poly(A)-specific Ribonuclease [PARN]) are reported to be strongly associated with early-onset and rapidly progressive fibrosis [14]. Furthermore, shortened telomere length has emerged as a prognostic marker, with patients exhibiting shortened telomeres showing a higher risk of ongoing fibrosis and reduced overall survival compared to those with normal telomere length [43-45]. Short telomere length has been linked to a higher risk of disease progression and a poorer response to immunosuppressive therapies [13,59].

Mortality

Despite etiologic heterogeneity, PPF confers a high risk of premature mortality across diverse ILDs (Table 3). Mortality is driven not only by the extent of fibrotic progression but also by the interplay of patient-specific factors and comorbidities (Table 3). Accordingly, multiple clinical, radiologic, and physiologic predictors of mortality have been identified.
Despite therapeutic advances, the relentless decline of lung function among patients with PPF often leads to respiratory failure and increased mortality, making it a life-threatening condition [10,38,60,61]. A yearly decline in FVC of ≥10% is associated with significantly increased mortality, and patients experiencing rapid FVC deterioration have markedly worse survival in PPF [10,41,44,62]. Similarly, worsening oxygen desaturation during 6MWT correlates with poorer survival rate [23].
Advanced age and multiple comorbidities are strongly associated with an increased mortality risk [2,10,63,64]. Pulmonary hypertension, which leads to right heart failure and worsens hypoxemia, is a significant predictor of poor prognosis [39,63,65]. Other significant comorbidities, such as cardiovascular disease, emphysema, and gastroesophageal reflux disease, can accelerate disease progression and further compromise survival rates [64].
These factors underscore the importance of a multidisciplinary management strategy that addresses both pulmonary and systemic complications. Underlying etiology is also associated with mortality, with autoimmune ILD demonstrating better survival compared to uILD or HP [10]. However, further prospective studies are required to validate these findings.
Mortality and progression of ILD were associated with ILD subtype-specific factors. In SSc, male sex, African American race, concomitant pulmonary hypertension, lower DLCO, lower FVC, early decline in lung function, the rate of decline in FVC, CCL18, the extent of disease on HRCT, and autoantibody status, including the absence of anticentromere antibody or the presence of anti-topoisomerase I antibody (anti-Scl-70), were identified as predictors of both mortality and ILD progression (Table 3) [28,35,36,66-71]. In HP, a history of smoking, the presence of honeycombing on HRCT, a decline in FVC, lower FVC, short telomere length, the SNP (MUC5B rs35705950), and the failure to identify an inciting antigen are all associated with a reduced survival rate [24,31,44,72].

AE of PPF

AE of PPF is a life-threatening event marked by a sudden and severe deterioration of respiratory symptoms, often resulting in acute respiratory failure [1,2,73]. Although initially described in IPF, similar episodes have also been documented in PPF, and the definition of AE in PPF is generally adopted from that in IPF [4]. Epidemiological data further highlight distinctions between AE in IPF and non-IPF ILDs. Suzuki et al. [74] reported that the incidence of AE was significantly lower in fILD (3.21) than in IPF (8.38 per 100 patient-years). Subtype-specific incidences of AE (cases per 100 patient-years) included 1.77 in NSIP, 6.05 in fHP, 3.19 in CTD-ILD, 3.03 in uILD, and 3.16 in pathologically proven uILD [74]. More recently, Kim et al. [75] analyzed single-center data from Korea using the INBUILD criteria. They reported that during a median follow-up of 38 months after the diagnosis of PPF, 42 patients (31.6%) experienced an AE. The cumulative incidence of AEs was 12.5% at 1 year, 30.3% at 3 years, and 38.0% at 5 years [75]. Their study demonstrated that independent risk factors for AE included older age, RA-ILD, fibrotic HP, and reduced DLCO [75]. According to PROGRESS study, the rate of AE was 13.9% over the median follow-up duration of 46.2 months in PPF [10].
The causes and triggers of AE in PPF remain poorly understood. While many episodes are idiopathic, similar to IPF, potential contributors include viral infections, microaspiration due to gastroesophageal reflux, environmental exposures such as air pollution, drug-induced lung injury, and invasive surgical procedures [76,77]. Additional risk factors for AE in PPF include older age, lower DLCO, and a UIP pattern on imaging [26,75,78,79]. Furthermore, immunomodulatory medications may contribute to acute lung injury, thereby precipitating AE [80]. Measures of oxygenation, such as oxygen saturation and the ratio of partial pressure of arterial oxygen (PO2) to the fraction of inspired oxygen (FiO2), have been identified as independent predictors of survival in AECTD-ILD [78,81].
AE in both IPF and non-IPF ILDs is associated with a high risk of mortality and may lead to chronic respiratory failure, although outcomes in non-IPF ILDs appear to be slightly better or comparable to those of AEIPF [74,75,82].
In patients with PPF in the INBUILD trial, the estimated risks of death following an AE were 19.0% (95% confidence interval [CI], 8.9 to 29.2) within 30 days and 32.0% (95% CI, 19.7 to 44.2) within 90 days. The estimated risk of death within 180 days after an AE was 37% [79]. An observational study from Japan that enrolled 155 patients with CTD-ILD reported a median survival of 169 days following the onset of AE [83]. In an observational study of 174 consecutive patients experiencing a first episode of AE, the 90-day mortality rate was 29% in non-IPF ILDs and 33% in secondary ILDs, including CTD-ILD and chronic HP, compared with 57% in IPF [82]. The reported 90-day mortality rate in non-IPF ILDs ranges from 17% to 58%, with this variability largely attributed to differences in underlying etiologies [78,82,84]. Moreover, the presence of a pre-existing AE has been recognized as an independent prognostic factor for mortality in patients with ILD undergoing lung transplantation [85]. Consequently, AE is now regarded as a significant event in the disease trajectory of PPF. It serves as a key clinical endpoint in therapeutic trials and plays an important role in determining lung transplantation and initiating palliative care [75,85,86].

Pharmacologic Management

The introduction of antifibrotic therapies like nintedanib and pirfenidone has significantly changed the treatment approach for PPF by slowing the decline in lung function [87-91]. Pirfenidone shows promise in slowing disease progression in PPF, as indicated by smaller declines in FVC and DLCO; however, confirmation in larger, adequately powered studies is needed [5,87,90]. Nintedanib, in particular, has consistently shown benefits in slowing disease progression across a wide range of PF-ILDs [89,92]. The effect of nintedanib on survival rates in PPF requires further validation; however, one observational study has shown improved survival rates [87-89]. Nerandomilast is a novel phosphodiesterase-4 (PDE4) inhibitor that demonstrates approximately 10-fold greater inhibitory activity against the PDE4B isoform compared to PDE4D. The PDE4D isoform is believed to be primarily responsible for the gastrointestinal adverse effects commonly associated with PDE4 inhibition [93,94]. Preferential inhibition of PDE4B has anti-inflammatory and antifibrotic effects, with a lower potential for gastrointestinal adverse events compared to pan-PDE4 inhibition [92]. The most frequently reported adverse event associated with nerandomilast was diarrhea, which occurred in 36.6% of patients in the 18-mg nerandomilast group, compared to 24.7% in the placebo group [95]. However, the incidence of diarrhea with nerandomilast is lower than the 66.9% reported for nintedanib in the INBUILD trial [4]. In addition, nerandomilast has been demonstrated to reverse phenotypic changes in fibroblasts caused by transforming growth factor-β1 (TGF-β1) [95]. This effect correlates with a decrease in the expression of α-smooth muscle actin (ACTA2), connective tissue growth factor (CTGF), and plasminogen activator inhibitor-1 (PAI-1). Additionally, nerandomilast increases levels of mitogen-activated protein kinase phosphatase-1 (MKP-1) and enhances the dephosphorylation of p38 mitogen-activated protein kinase (p38 MAPK) [95]. Nerandomilast has the potential to improve survival, as early evidence indicates a survival benefit and a reduction in lung function decline in PPF [96]. However, the effect of nerandomilast on mortality has yet to be validated in adequately powered clinical trials. Another promising agent is admilparant, an oral lysophosphatidic acid receptor 1 antagonist that has been shown to slow lung function decline and was found to be safe and well-tolerated in a phase 2, randomized, double-blind, placebo-controlled trial [97].

Conclusion

PPF represents a common clinical phenotype seen across various forms of fILDs. While patients with PPF share similar pathophysiological processes and clinical courses, their underlying etiologies are heterogeneous, requiring an individualized diagnostic and therapeutic approach. Accurate prediction of PPF and disease progression depends on the integrated interpretation of pulmonary function tests and HRCT, while also recognizing the limitations of current tools in estimating individual risk. Ongoing and future research into blood-based biomarkers, advanced imaging techniques, and functional assessment tools is expected to improve diagnostic accuracy and lead to more effective therapeutic strategies.

Notes

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

Funding

No funding to declare.

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Table 1.
Definitions of PPF
Definition of PF-ILD in INBUILD trial [4]
 Within the 24 months before screening despite standard treatment with an agent other than nintedanib or pirfenidone
 A relative decline in the FVC of at least 10% of the predicted value, a relative decline in the FVC of 5% to less than 10% of the predicted value and worsening of respiratory symptoms or an increased extent of fibrosis on high-resolution CT, or worsening of respiratory symptoms and an increased extent of fibrosis
Definition of PPF by ATS/ERS/JRS/ALAT 2022 [1]
 In a patient with ILD of known or unknown etiology other than IPF who has radiological evidence of pulmonary fibrosis, PPF is defined as at least two of the following three criteria occurring within the past year with no alternative explanation
  1. Worsening respiratory symptoms
  2. Physiological evidence of disease progression (either of the following):
   a. Absolute decline in FVC ≥5% predicted within 1 yr of follow-up
   b. Absolute decline in DLCO (corrected for Hb) ≥10% predicted within 1 year of follow-up
  3. Radiological evidence of disease progression (one or more of the following):
   a. Increased extent or severity of traction bronchiectasis and bronchiolectasis
   b. New ground-glass opacity with traction bronchiectasis
   c. New fine reticulation
   d. Increased extent or increased coarseness of reticular abnormality
   e. New or increased honeycombing
   f. Increased lobar volume loss
Trial of pirfenidone in patients with unclassifiable progressive fibrosing interstitial lung disease [5]
 More than 10% fibrosis on HRCT from the previous 12 months
 Progressive disease, defined as either a more than 5% absolute decline in percent predicted FVC or significant symptomatic worsening not due to cardiac, pulmonary (except worsening of underlying unclassifiable ILD), vascular, or other causes (as determined by the investigator) within the previous 6 months
An expert group consensus statement by ERS [2]
 ILD with radiological signs of fibrosis
 Evidence of progression over time both at presentation and during subsequent follow-up
 Disease progression despite management

PPF: progressive pulmonary fibrosis; PF-ILD: progressive fibrosing interstitial lung disease; FVC: forced vital capacity; CT: computed tomography; ATS: American Thoracic Society; ERS: European Respiratory Society; JRS: Japanese Respiratory Society; ALAT: Latin American Thoracic Association; ILD: interstitial lung disease; IPF: idiopathic pulmonary fibrosis; DLCO: diffusing capacity of the lung for carbon monoxide; HRCT: high-resolution computed tomography.

Table 2.
Prevalence of PPF according to the underlying cause
Source Japan [98] CARE-PF [30] Korea [17]
Cohort characteristic Prospective Prospective Retrospective
No. of PPF 447 1,376 396
Overall prevalence 22.6% 50.0% 34.1%
Prevalence of PPF according to each underlying cause
 Etiology
  iNSIP 15.0% 41% 26.3%
  fHP 34.8% 58% 55.8%
  CTD-ILD 27.0% 45%
   RA-ILD 34.5%
   SSc-ILD 33.3%
   SJS-ILD 21.4%
  iPPFE 66.7%
  uILD 24.3% 51%
  IPAF 55%
  Sarcoidosis 32%
  Occupational ILD 43%
  Drug-induced ILD 31%
  Smoking-related ILD 56%
  COP 36%
  Vasculitis 34%

Definition: Study by Takei et al.[98] = based on criteria by George et al.[8], studies by Kwon et al.[17] and Hambly et al.[30] = based on the criteria used in the INBUILD trial.

PPF: progressive pulmonary fibrosis; CARE-PF: Canadian Registry for Pulmonary Fibrosis; iNSIP: idiopathic nonspecific interstitial pneumonia; fHP: fibrotic hypersensitivity pneumonitis; CTD: connective tissue disease; ILD: interstitial lung disease; RA: rheumatoid arthritis; SSc: systemic sclerosis; SJS: Sjögren’s syndrome; iPPFE: Idiopathic pleuroparenchymal fibroelastosis; uILD: unclassifiable interstitial lung disease; IPAF: interstitial pneumonia with autoimmune feature; COP: cryptogenic organizing pneumonia.

Table 3.
Prognostic factors of PPF
Variable Reference
Development of PPF [2,8,23]
 UIP pattern
 Extensive traction bronchiectasis
 Rapid radiologic and physiologic progression
 Poor response to initial therapy
 Short telomere length
 Old age
 BMI
 Oxygen desaturation
Further progression of PPF [23,41,42,45,75,99]
 Advanced age
 Radiologic progression of fibrosis
 UIP pattern
 Acute exacerbation
 CTD-ILD > fHP or uILD
Mortality [10,23,39,45,74,75,100,101]
 Advanced age
 Male sex
 Acute exacerbation
 Pulmonary hypertension
 Underlying etiology: CTD-ILD > fHP or uILD
 Presence of honeycombing or UIP pattern
 FVC decline
 Lower DLCO
 SSc: the absence of anticentromere antibody or the presence of anti-Scl-70
 HP: failure to identify an inciting antigen
 Oxygen desaturation

PPF: progressive pulmonary fibrosis; UIP: usual interstitial pneumonia; BMI: body mass index; CTD: connective tissue disease; ILD: interstitial lung disease; fHP: fibrotic hypersensitivity pneumonitis; uILD: unclassifiable interstitial lung disease; FVC: forced vital capacity; DLCO: diffusion capacity of the lungs for carbon monoxide; SSc: systemic scleroderma; anti-Scl-70: anti-topoisomerase I antibody; HP: hypersensitivity pneumonitis.

Table 4.
Disease-specific prognostic factors of PPF
Variable Reference
fNSIP
 DLCO <60% [16]
fHP
 Antigen identification [2,8,44,72]
 MUC5B rs35705950 [24]
 Short telomere length [24]
 Smoking [31]
 Fibrosis [31,72]
 FVC decline [44]
 Lower FVC [31,44]
RA-ILD
 High anti-CCP antibody titers [25-27]
 Smoking [8,37,102]
 Extensive ILD [8,103,104]
 Lower DLCO [103,104]
 Acute exacerbation [104]
SSc-ILD [8,36]
 Extensive ILD [8,36]
 Pulmonary hypertension [14,36,39,40]
 Absence of anti-centromere antibody [28]
 Anti-Scl-70 antibody [28,29]
 CCL18 [71]
 Shorter disease course [28]
 Early decline in lung function [68,69]
 Black American ethnicity [8,28,29]
 Gastroesophageal reflux [8,28]

PPF: progressive pulmonary fibrosis; fNSIP: fibrotic nonspecific interstitial pneumonia; DLCO: diffusion capacity of the lungs for carbon monoxide; fHP: fibrotic hypersensitivity pneumonitis; FVC: forced vital capacity; RA: rheumatoid arthritis; ILD: interstitial lung disease; CCP: cyclic citrullinated peptide; SSc: systemic scleroderma; anti-Scl-70: anti-topoisomerase I antibody; CCL18: C-C motif chemokine ligand 18.

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