Skip to main content

Comparison of clinical features and prognosis in patients with cryptogenic and secondary organizing pneumonia

Abstract

Background

Organizing pneumonia (OP) can be diagnosed pathologically, and cryptogenic OP (COP) and secondary OP (SOP) have been classified by cause and particular underlying context. Because it is clinically difficult to differentiate between COP and SOP, this study investigated characteristics that could distinguish between COP and SOP.

Methods

The medical records of patients who underwent lung biopsy for a diagnosis of OP at a single tertiary hospital from January 2016 to December 2018 were retrospectively reviewed.

Results

Eighty-five patients had pathologically proven OP, including 16 diagnosed with COP and 69 diagnosed with SOP. The most common cause of SOP was infectious pneumonia, observed in 57 (82.6%) of the 69 patients, followed by cancer and radiation pneumonitis. The pathogens causing infectious pneumonia were identified in 45 (65.2%) patients. There were no differences in age, sex, and lung function between the COP and SOP groups. Median body mass index was significantly lower (P = 0.030), and median time from symptom onset to hospital admission significantly shorter (P = 0.006), in the SOP than in the COP group. Fever was more common in the SOP group (P = 0.024), and CURB 65, an index of pneumonia severity, tended to be higher in the SOP group (P = 0.017). Some laboratory results differed significantly between the two groups. Lymphocyte counts in bronchoalveolar lavage (BAL) fluid were significantly higher in the COP than in the SOP group (P = 0.012). Radiologic findings showed that effusion was more common in the SOP group (P = 0.036). There were no between-group differences in steroid use, 30 day and in-hospital mortality rates, and rates of OP outcomes and recurrences. Pneumonia recurrence rate was significantly higher in SOP patients who were than were not treated with steroids (P = 0.035).

Conclusions

Infection is the main cause of SOP. Symptom onset is more rapid in patients with SOP than with COP. Some blood and BAL fluid test results differed significantly in the COP and SOP groups. Pleural effusion was more common in the SOP group but there were no differences in clinical course. Recurrence in patients with SOP was more common in those who were than were not treated with steroids.

Peer Review reports

Background

Organizing pneumonia (OP) is an interstitial lung disease histologically characterized by patchy filling of the lung alveoli and respiratory bronchioles by loose plugs of granulation tissue [1, 2]. OP was first described histologically during the early 20th century [3] and has been regarded as a distinct pathological entity since the 1980s [1, 4]. Histological, clinical, and radiological advances have increased understanding of OP, which is presently classified as an interstitial lung disease [5, 6].

OP is initiated by lung injuries, with the alveolar epithelium reacting to produce granulation tissue [6]. Despite having the same pathologic patterns, OP can be classified as either cryptogenic OP (COP) or secondary OP (SOP). SOP can be caused by infection, drug toxicity, drug intoxication, inhalation of toxic gases, aspiration of gastric contents, connective tissue diseases (CTD), organ transplantation, radiotherapy, vasculitis, tumors, pulmonary infarction, hypersensitivity pneumonitis, eosinophilic pneumonia, and other interstitial lung diseases [2, 7]. COP can be diagnosed by excluding SOP, based on clinical history, characteristics, laboratory tests, radiologic findings, and associated pathologic findings [8, 9]. Clinical confusion has arisen in the differential diagnosis of COP or SOP, as differences in their characteristics have not been clearly identified [10,11,12,13,14,15]. The present study investigated whether any characteristics could distinguish between COP and SOP. The causes, clinical characteristics, laboratory results, radiologic findings, and prognosis were therefore compared in patients with pathologically proven SOP and COP.

Methods

Study design

The medical records of all patients who underwent lung biopsy at a single tertiary medical institution, Daegu Catholic University Medical Center, South Korea, from January 2016 to December 2018 were retrospectively reviewed. OP was diagnosed by the presence of intraluminal granulation tissue in the alveolar ducts, alveoli, and bronchiolar lumen, as confirmed pathologically by lung biopsy results. This study included (1) cases with abnormal features in chest X ray or chest computed tomography (CT) in adults 18 years of age or older, and (2) cases diagnosed with OP through lung biopsy. In this study, cases where biopsy could not be performed, or OP was not confirmed by biopsy were excluded (Fig. 1). A total of 85 patients were identified.

Fig. 1
figure 1

Flow chart of the inclusion and exclusion criteria and study design. CT computed tomography, COP cryptogenic organizing pneumonia, SOP secondary organizing pneumonia, OP organizing pneumonia

Basic clinical characteristics, including clinical history, symptoms, comorbidities, and concomitant drug use; radiologic findings, including CT results; biopsy methods and patterns, laboratory data, results of sputum and bronchioloalveolar lavage (BAL) fluid tests, culture findings, and polymerase chain reaction (PCR) results on admission and at biopsy were recorded, as were the results of pulmonary function tests (PFT), treatment-associated data, and follow-up data. The clinical diagnosis was confirmed before the biopsy was performed. The predominant pattern of each biopsy specimen was also determined. The patients evaluated the possibility of CTD based on their medical history and symptoms, and whether laboratory test such as muscle enzyme levels were elevated. For only patients with possible CTD or COP, rheumatoid factor, antinuclear antibody, antineutrophil cytoplasmic antibodies, and anti-cyclic citrullinated peptide antibodies were identified. Patients were referred to a rheumatologist when CTD was considered possible.

As this is a retrospective study, the possibility of unchecked laboratory tests or histories may have resulted in selection bias from data missing at random without any intention [16]. To reduce bias, we reconfirmed medical history by telephone in living and reachable patients.

The study protocol was approved by the Institutional Review Board of Daegu Catholic University Hospital (IRB No. CR-21-097).

Definitions

COP was defined as OP in the absence of an established clinical cause, based on correlations of underlying diseases, concomitant drugs, and microbiological data with a predominant histological pattern. SOP was defined as OP secondary to lung injury of known etiology. The chest CT findings of OP were classified as follows; consolidation, ground glass opacity (GGO), mixed of consolidation and GGO, nodule or mass, perilobular opacity, parenchymal bands or fibrotic pattern, reversed halo sign, mediastinal lymphadenopathy and pleural effusion [6, 17, 18]. Perilobular opacity was defined as curved or polygonal opacities with poorly defined margins around the interlobular septa. Parenchymal bands were defined as extending in a radial manner along the bronchi towards the pleura. Reverse halo sign was defined as a focal rounded area of GGO surrounded by ring or crescent shaped consolidation. Mediastinal lymphadenopathy was defined as mediastinal lymph node size greater than 1 centimeter in short-axis diameter. We also specifically identified the focal OP defined as a solitary focal and nodular opacity [19,20,21]. Recurrence was defined as worsening of chest X ray after prior improvement; in such cases, re-biopsy was not performed.

Methods

Lung biopsy

Lung tissue samples were obtained by bronchoscopic transbronchial lung biopsy (TBLB), CT-guided lung biopsy, or video-associated surgical lung biopsy. Patients with OP diagnosed by TBLB or CT-guided lung biopsy did not require surgical lung biopsy. Of the 85 patients, 77 (90.6%) were diagnosed by TBLB, including 59 (68.2%) by radial probe and 19 (22.4%) by blind TBLB. Seven (8.2%) patients underwent CT-guided lung biopsy and one (1.2%) underwent surgical lung biopsy. All patients underwent bronchoscopy, even those who underwent CT-guided or surgical lung biopsy, with BAL fluid samples obtained from 43 (50.6%) patients.

Microbiological and molecular methods

The quality of sputum and BAL fluid specimens was assessed microscopically using Gram stain smears, as determined by the Murray–Washington grouping system [22]. Specimens were processed and cultured according to standard laboratory procedures. The most purulent portion of each specimen was inoculated onto blood, chocolate, and MacConkey’s agar plates, and incubated at 35 °C in 5% CO2 for 48 h. Agar plates were examined at 16–24 and 48 h, and the predominant organisms were identified and quantified. Biochemical identification and antibiotic susceptibility tests were performed using the VITEK 2 System (bioMérieux, Durham, NC, USA) or Microscan WalkAway 96 SI Plus (Beckman Coulter, Brea, CA, USA) according to the manufacturer's instructions. In some cases, sputum, bronchial washing, and BAL fluid samples were subjected to Acid fast bacilli (AFB) smear and culture and fungal culture.

Mycoplasma pneumoniae, Legionella pneumophila, Streptococcus pneumoniae, Hemophilus influenzae, Bordetella pertussis, and Chlamydophila pneumoniae were detected in respiratory samples by multiplex real-time PCR tests. To detect viruses, RNA was extracted from clinical samples with Nextractor NX-48 kits (Biosewoom, Seoul, Korea) according to the manufacturer’s instructions. Real-time RT-PCR assays were performed to detect 14 respiratory viruses (adenovirus; human rhinovirus, human coronaviruses (CoV) NL63/HKU1, 229E, and OC43; influenza A and B viruses; parainfluenza viruses (PIV) 1, 2, and 3; respiratory syncytial viruses A and B; human bocavirus, and metapneumovirus) using Real-Q RV Detection kits (Biosewoom) and the CFX96 Real-Time System (Bio-Rad, Hercules, CA, USA). Respiratory samples were also analyzed using the BioFire™ Diagnostics Respiratory Panel and FilmArray™ multiplex PCR System (bioMérieux) to detect the following pathogens: adenovirus, CoV 229E, CoV HKU1, CoV NL63, CoV OC43, human metapneumovirus, human rhinovirus/enterovirus, influenza A H1 virus, influenza A H1 2009 virus, influenza A H3 virus, influenza B virus, parainfluenza virus 1, parainfluenza virus 2, parainfluenza virus 3, parainfluenza virus 4, respiratory syncytial virus, Bordetella pertussis, Chlamydophila pneumoniae, and Mycoplasma pneumoniae.

PFT and chest CT

Forty-one (48.2%) patients were assessed by PFTs, with results reported as absolute values and % of predicted values. PFT results were interpreted as normal, restrictive, obstructive, and mixed patterns according to American Thoracic Society criteria [23].

All patients were evaluated by chest CT to assess the patterns and distribution of pulmonary abnormalities prior to lung biopsy. Based on chest CT, pulmonary patterns were classified as consolidation, GGO, mixed of consolidation and GGO, nodule or mass, perilobular opacity, parenchymal bands or fibrotic pattern, reversed halo sign, mediastinal lymphadenopathy, pleural effusion [6, 17, 18], cavity and focal solitary nodule [19,20,21].

Treatment and follow-up

Each patient was started on treatment with antibiotics and steroids at the discretion of each physician based on the clinical condition of the patient. Most patients were started on methylprednisolone 0.75 mg/kg/day or higher [8, 24], with the duration and dose depending on the judgment of each physician. Patients were followed-up and recurrence monitored for at least 2 years. When following up the patients, chest X-ray was checked in all patients, but chest CT was performed at the physician's discretion.

Statistical analysis

Normally distributed continuous variables were expressed as numbers and percentages or as means or medians and interquartile ranges (IQRs), whereas non-normally distributed continuous variables were expressed as medians and IQRs. Results in the COP and SOP groups were compared by Mann–Whitney U-tests. Qualitative variables between the two groups were compared using chi-square (χ2) tests or Fisher’s exact tests. CURB-65 and the number of affected lobes on chest CT between the two groups were compared using linear-by-linear association. All statistical analyses were performed using SPSS version 25 (SPSS, Inc., Chicago, IL, USA), with statistical significance set at P < 0.05.

Results

Of the 85 patients with pathologically confirmed OP on lung biopsy, 16 (18.8%) were diagnosed with COP and 69 (81.2%) with SOP. Infectious pneumonia was the most frequent cause of SOP, occurring in 57 patients (82.6%), followed by cancer and radiation pneumonitis. The bacteria causing infectious pneumonia were confirmed in 45 patients (65.2%), either by culture or PCR testing. Acinetobacter baumanii was the most frequently identified, followed by Stenotrophomonas, Tuberculosis, Streptococcus, Staphylococcus, Klebsiella, and fungi. In one patient each, SOP was caused by CTD, hypersensitivity pneumonitis, and chronic eosinophilic pneumonia, and was drug (adalimumab)-related in one patient (Table 1).

Table 1 Diseases associated with secondary organizing pneumonia

Median ages of patients in the COP and SOP groups were 64 and 71 years, respectively, with no significant between-group difference. The percentages of men were higher than those of women in both groups, but the difference in gender distribution was not significant. Reasons for biopsy included the pneumonia pattern in 61 patients (71.8%) and the mass form in 24 (28.2%). Median body mass index (BMI) was significantly higher in the COP than in the SOP group (24.1 kg/m2 vs. 21.7 kg/m2, P = 0.030). The median time from the first visit to diagnosis was 13 days in both groups, whereas the median time from symptom onset to hospital admission was significantly longer in the COP than in the SOP group (4 weeks vs. 1 week, P = 0.006). Fever was significantly more common in the SOP group (P = 0.024). The most common symptoms in all patients were cough, sputum, shortness of breath, fever, hemoptysis, and chest pain. Chronic liver disease was significantly more frequent in the COP group (P = 0.020). There was a significant difference in CURB-65 score [25], an index of the severity of pneumonia (P = 0.017) (Table 2).

Table 2 Baseline demographic and clinical characteristics of patients with cryptogenic and secondary organizing pneumonia

Vital signs and PF ratios did not differ between the two groups, nor did leukocyte and neutrophil counts and concentrations of C-reactive protein (CRP). By contrast, eosinophil counts and concentrations of procalcitonin, pro-brain natriuretic peptide (proBNP), D-dimer, creatinine, and lactate differed significantly between the two groups at admission. Lymphocyte counts in BAL fluid were significantly higher in the COP than in the SOP group (P = 0.012). Of the 41 (48.2%) patients who underwent PFT, 16 (39.0%) had normal lung function, 12 (29.3%) had a restrictive ventilator defect, nine (22.0%) had an obstructive ventilator defect, and four (9.8%) had mixed defects. PFT results, however, did not differ significantly between these two groups (Table 3).

Table 3 Laboratory and clinical findings in patients with cryptogenic and secondary organizing pneumonia

Chest CT showed no between-group differences in the extent of pneumonia, whereas effusion was more common in the SOP group (P = 0.036), parenchymal bands or fibrotic pattern and perilobular opacity was more common in the COP group (P = 0.005, 0.022, respectively). Chest CT identified 12 patients with focal OP, including seven (43.8%) in the COP group and five (7.2%) in the SOP group (P < 0.001) (Table 4).

Table 4 Computed tomography findings in patients with cryptogenic and secondary organizing pneumonia, including 12 patients with focal organizing pneumonia

Four patients (5.8%) in the SOP group required ventilator use and five (7.2%) in this group required inotropics, but there were between-group differences. Antibiotic use was significantly higher in the SOP than in the COP group (P = 0.013), but there was no between-group difference in steroid use. The 30 day and in-hospital mortality rates, as well as outcome and recurrence rates, did not differ between the two groups (Table 5).

Table 5 Treatment and prognosis in patients with cryptogenic and secondary organizing pneumonia

Subgrouping of the 69 patients with SOP cases into those who were (n = 31) and were not (n = 38), treated with steroids showed that pneumonia recurrence was significantly more frequent in the former group (P = 0.035). However, there were no differences between these subgroups in 30 day and in-hospital mortality rates and in outcome of OP (Table 6). Median neutrophil counts on complete blood count (CBC) were significantly higher in the recur group (80.2%) than in the non-recur group (66.0%) (P = 0.027). Lymphocyte count on CBC was also significantly lower in the recur group (5.6%) than in the non-recur group (7.9%) (P = 0.005) (Data not shown).

Table 6 Clinical outcomes in patients with SOP who were and were not treated with steroids

Discussion

OP is a pathologic diagnosis term, defined as the presence of means polypoid intraluminal plugs of proliferating fibroblasts and myofibroblasts within alveolar ducts and spaces with varying degrees of bronchiolar involvement. OP can be regarded as a nonspecific pathological pattern of lung responses to injury [6]. In the absence of a specific cause, this condition is diagnosed as COP [9]. The 2002 American Thoracic Society/European Respiratory Society classification recommended using COP rather than the term bronchiolitis obliterans organizing pneumonia (BOOP) because BOOP may be confused with airway disease and, histologically, bronchiolitis obliterans may be concomitant or absent [26]. OP may be a clinical manifestation of a nonspecific repair process in response to a local or distant injury [12]. Based on this definition, SOP was diagnosed in patients with a pathologic OP pattern resulting from identified causes. Distinguishing between COP and SOP is important because the underlying disease, not OP itself, must be managed in patients with SOP. Descriptions of OP are based on an autopsy study of patients with unresolved bacterial pneumonia prior to the advent of antimicrobial therapy [7, 27, 28]. Although OP was thought to be due to infection alone, it was later recognized as a variety of conditions, including interstitial disease, drug toxicity, and connective tissue disorders. Several studies have described the differences between COP and SOP [10,11,12,13,14,15].

The major difference between these earlier studies [10,11,12,13,14,15] and the present study is that the SOP group in the latter included a high percentage of patients with infectious pneumonia. Because the clinical symptoms of COP and SOP are similar, it is difficult to diagnose SOP, especially infectious pneumonia, based only on clinical symptoms. In a previous study of 57 patients, 27 were diagnosed with SOP, with eight patients having SOP due to infection, the most frequent cause of SOP in that study [11]. The present study also found that infectious pneumonia was the most frequent cause of SOP. In our center, patients who experience slow clinical improvement after being diagnosed with infectious pneumonia are evaluated by lung biopsy to determine whether other conditions may have accompanied infection. Moreover, many patients with infection in the present study were evaluated by lung biopsy, which may have led to the high rate of infection-related SOP diagnoses. In addition, our study was performed after the development of more recent diagnostic techniques, including culture of respiratory samples, multiplex PCR, and respiratory virus panel tests, enabling more accurate identification of bacteria and viruses, and thus the increased diagnosis of SOP. A study performed from 2001 to 2008 found that only two (9.5%) of 21 patients had SOP caused by infections [12]. However, the difficulty of distinguishing between SOP and COP, and the inability to identify a pathogen, may have resulted in some patients with SOP being diagnosed with COP.

The median age of patients in the present study was 70 years, higher than the average ages reported in previous studies of 50–60 years [10,11,12, 14]. Moreover, BMI was significantly lower (P = 0.030) and the duration of clinical symptoms before admission significantly shorter (P = 0.006) in the SOP group. The latter was likely due to the more rapid onset and progression of clinical symptoms in the SOP group, resulting in a shorter duration of symptoms. Among the symptoms, fever was more frequent in the SOP group (P = 0.024). A previous study reported that, although most secondary BOOPs were related to chemotherapy and radiotherapy, the clinical symptoms of secondary BOOP were more evident [14]. Our study also found that chronic liver disease was more frequent in the COP group (P = 0.020). Advanced liver disease in the pulmonary parenchyma has been reported to lead to lymphocytic or OP [29], which may explain this result. CURB-65, an index of pneumonia severity, was significantly different between COP and SOP, indicating that SOP is more severe than COP (P = 0.017).

Serum concentrations of procalcitonin, proBNP, D-dimer, creatinine, and lactate were found to be significantly higher in the SOP than in the COP groups. This increase in SOP was thought to be related to the fact that the main cause of SOP was infectious pneumonia [30] and the severity of SOP was higher than that of COP [31,32,33,34]. Lymphocyte counts in BAL fluid were significantly higher in the COP than in the SOP group (P = 0.012). Lymphocytosis >25% in BAL fluid is considered a marker of COP [35]. Although a previous study reported that lymphocyte counts in BAL fluid were significantly lower in patients with COP than with SOP, BAL fluid was assessed in only five patients with SOP and 27 patients with COP, with the mean lymphocyte counts in the BAL fluid of the COP group being much lower, 16%, than reported elsewhere [12]. As in previous studies, we found that PFT did not differ between the COP and SOP groups.

CT evaluation showed that pleural effusion was significantly more frequent in the SOP than in the COP group (P = 0.036). This finding is in good agreement with the results of previous studies, with effusion being more frequent in patients with SOP than in those with COP [12, 14]. Parenchymal bands or fibrotic pattern and perilobular opacity was more frequent in COP (P = 0.005, 0.022, respectively). Parenchymal bands may be secondary to pleuroparenchymal fibrosis [17, 36]. Perilobular opacity is thought to result from residual inflammation in the healing phase [17]. The lesions with surrounding GGO or consolidation are thought to have developed into parenchymal bands, fibrotic pattern or perilobular opacity [36]. Focal OP was more frequent in the COP than in the SOP group (P < 0.001). Because focal OP has a different clinical course from other radiologic features of OP [19, 20], focal OP was specifically identified in the present study. This finding differs from the previous study in which the number of focal SOP was greater than the number of focal COP [21]. However, similar to the present study, the previous study showed that symptoms were more frequent in focal SOP than in focal COP, and that the main causes of focal SOP were acute infection and granulomatous inflammation [21].

Antibiotic use was significantly greater in the SOP group (P = 0.013), although there was no between-group difference in steroid use. Although COP was found to improve more rapidly with corticosteroids, relapses were more common when treatment was discontinued [8, 13, 24, 37]. Several studies have reported no significant difference in treatment response and clinical course between COP and SOP [10, 12], although one study found a higher mortality rate in patients with SOP, narrowly defined as OP due to a connective tissue disorder, hematologic malignant neoplasms, chemotherapy, or leukemia, than in those with COP [13], suggesting that the underlying disease affects patient prognosis. The present study found no difference in treatment-related outcomes between the COP and SOP groups. Pneumonia recurrence in the SOP group, however, was significantly more frequent in patients who were than were not treated with steroids (P = 0.035). This finding was likely due to the low rate of lymphocytosis in the BAL fluid of patients with SOP, which may have reduced responses to steroids and increased the recurrence of pneumonia due to underlying diseases. Among patients with SOP, those who experienced pneumonia recurrence had a significantly higher neutrophil count (P = 0.027) and a significantly lower lymphocyte count (P = 0.005) than those who did not experience recurrence. High neutrophil counts in patients with infectious SOP cases indicate that infection control is poor, with SOP recurring because of a lack of improvement in the underlying disease.

This study has the following limitations. Because this was a retrospective study of OP diagnosed by lung biopsy, critically ill patients were excluded if lung biopsy was difficult. Because steroids tend to be used only in patients with relatively severe pneumonia, there was likely a selection bias regarding the steroid effect. In this study, steroid dose, duration, and criteria for use were not standardized, making it difficult to interpret treatment-related outcomes. Moreover, recurrence could not be confirmed as a recurrence of OP, as it was not determined histologically by re-biopsy. The frequency of CTD related SOP was low, possibly because patients' symptoms were unintentionally missed, and autoimmune testing for CTD was not confirmed in all patients and only limited testing was performed.

Conclusions

This study found that the most frequent cause of SOP was infection, with symptoms progressing more rapidly in patients with SOP than with COP. Several parameters in blood and BAL fluid differed significantly in the SOP and COP groups. Pleural effusion was more common in the SOP than in the COP group. PFT results, response to treatment, and treatment results were similar between these two groups. Subanalysis of the SOP group showed that the recurrence rate was higher in those who were than were not treated with steroids.

Availability of data and materials

All authors had access to data and material and vouch for its complete accuracy. Literature review can be accessed through Pubmed and Google Scholar. Data and materials can be accessed through the medical records at Daegu Catholic University Medical Center. All images are available through PACS imaging system storage at Daegu Catholic University Medical Center.

Abbreviations

OP:

Organizing pneumonia

COP:

Cryptogenic organizing pneumonia

SOP:

Secondary organizing pneumonia

CTD:

Connective tissue disease

BALF:

Bronchoalveolar lavage fluid

CT:

Computed tomography

BAL:

Bronchoalveolar lavage

CRP:

Polymerase chain reaction

PFT:

Pulmonary function test

TBLB:

Transbronchial lung biopsy

AFB:

Acid fast bacilli

CoV:

Coronaviruses

PIV:

Parainfluenza viruses

BMI:

Body mass index

CRP:

C-reactive protein

Pro-BNP:

Pro-B-type natriuretic peptide

CBC:

Complete blood count

BOOP:

Bronchiolitis obliterans organizing pneumonia

PF ratio:

Arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio

CRP:

C-reactive protein

proBNP:

Pro-brain natriuretic peptide

ESR:

Erythrocyte sedimentation rate

FVC:

Forced vital capacity

FEV1:

Forced expiratory volume in the first second

TLC:

Total lung capacity

DLCO:

Diffusing capacity of the lung for carbon monoxide

References

  1. Epler GR, Colby TV, McLoud TC, Carrington CB, Gaensler EA. Bronchiolitis obliterans organizing pneumonia. N Engl J Med. 1985;312(3):152–8.

    Article  CAS  Google Scholar 

  2. Epler GR. Bronchiolitis obliterans organizing pneumonia, 25 years: a variety of causes, but what are the treatment options? Expert Rev Respir Med. 2011;5(3):353–61.

    Article  Google Scholar 

  3. Tripier R. Traité d’anatomie pathologique générale. Masson; 1904.

    Google Scholar 

  4. Davison A, Heard B, McAllister W. Steroid-responsive relapsing cryptogenic organizing pneumonitis. Br Med J Publ Group Br Med Assoc House. 1982;25:785–6.

    Google Scholar 

  5. American Thoracic Society/European Respiratory Society International Multidisciplinary Consensus Classification of the Idiopathic Interstitial Pneumonias. This joint statement of the American Thoracic Society (ATS), and the European Respiratory Society (ERS) was adopted by the ATS board of directors, June 2001 and by the ERS Executive Committee, June 2001. Am J Respir Crit Care Med. 2002;165(2):277–304.

    Article  Google Scholar 

  6. Baque-Juston M, Pellegrin A, Leroy S, Marquette CH, Padovani B. Organizing pneumonia: what is it? A conceptual approach and pictorial review. Diagn Interv Imaging. 2014;95(9):771–7.

    Article  CAS  Google Scholar 

  7. Roberton BJ, Hansell DM. Organizing pneumonia: a kaleidoscope of concepts and morphologies. Eur Radiol. 2011;21(11):2244–54.

    Article  Google Scholar 

  8. Cordier J. Cryptogenic organising pneumonia. Eur Respir J. 2006;28(2):422.

    Article  Google Scholar 

  9. Flaherty KR, King TE, Raghu G, Lynch JP, Colby TV, Travis WD, Gross BH, Kazerooni EA, Toews GB, Long Q, et al. Idiopathic interstitial pneumonia. Am J Respir Crit Care Med. 2004;170(8):904–10.

    Article  Google Scholar 

  10. Baha A, Yıldırım F, Köktürk N, Galata Z, Akyürek N, Demirci NY, Türktaş H. Cryptogenic and secondary organizing pneumonia: clinical presentation, radiological and laboratory findings, treatment, and prognosis in 56 cases. Turk Thorac J. 2018;19(4):201.

    Article  Google Scholar 

  11. Basarakodu KR, Aronow WS, Nair CK, Lakkireddy D, Kondur A, Korlakunta H, Valasareddi SL, Lem V, Schuller D. Differences in treatment and in outcomes between idiopathic and secondary forms of organizing pneumonia. Am J Ther. 2007;14(5):422–6.

    Article  Google Scholar 

  12. Drakopanagiotakis F, Paschalaki K, Abu-Hijleh M, Aswad B, Karagianidis N, Kastanakis E, Braman SS, Polychronopoulos V. Cryptogenic and secondary organizing pneumonia: clinical presentation, radiographic findings, treatment response, and prognosis. Chest. 2011;139(4):893–900.

    Article  Google Scholar 

  13. Lohr RH, Boland BJ, Douglas WW, Dockrell DH, Colby TV, Swensen SJ, Wollan PC, Silverstein MD. Organizing pneumonia: features and prognosis of cryptogenic, secondary, and focal variants. Arch Intern Med. 1997;157(12):1323–9.

    Article  CAS  Google Scholar 

  14. Vasu TS, Cavallazzi R, Hirani A, Sharma D, Weibel SB, Kane GC. Clinical and radiologic distinctions between secondary bronchiolitis obliterans organizing pneumonia and cryptogenic organizing pneumonia. Respir Care. 2009;54(8):1028–32.

    PubMed  Google Scholar 

  15. Chang J, Han J, Kim DW, Lee I, Lee KY, Jung S, Han HS, Chun BK, Cho SJ, Lee K, et al. Bronchiolitis obliterans organizing pneumonia: clinicopathologic review of a series of 45 Korean patients including rapidly progressive form. J Korean Med Sci. 2002;17(2):179–86.

    Article  Google Scholar 

  16. Altman DG, Bland JM. Missing data. BMJ. 2007;334(7590):424–424.

    Article  Google Scholar 

  17. Mehrjardi MZ, Kahkouee S, Pourabdollah M. Radio-pathological correlation of organizing pneumonia (OP): a pictorial review. Br J Radiol. 2017;90(1071):20160723.

    Article  Google Scholar 

  18. Tiralongo F, Palermo M, Distefano G, Vancheri A, Sambataro G, Torrisi SE, Galioto F, Ferlito A, Fazio G, Foti PV, et al. Cryptogenic organizing pneumonia: evolution of morphological patterns assessed by HRCT. Diagnostics. 2020;10(5):262.

    Article  CAS  Google Scholar 

  19. Maldonado F, Daniels CE, Hoffman EA, Yi ES, Ryu JH. Focal organizing pneumonia on surgical lung biopsy: causes, clinicoradiologic features, and outcomes. Chest. 2007;132(5):1579–83.

    Article  Google Scholar 

  20. Melloni G, Cremona G, Bandiera A, Arrigoni G, Rizzo N, Varagona R, Muriana G, Carretta A, Ciriaco P, Canneto B, et al. Localized organizing pneumonia: report of 21 cases. Ann Thorac Surg. 2007;83(6):1946–51.

    Article  Google Scholar 

  21. Huo Z, Feng R, Tian X, Zhang H, Huo L, Liu H. Clinicopathological findings of focal organizing pneumonia: a retrospective study of 37 cases. Int J Clin Exp Pathol. 2015;8(1):511–6.

    PubMed  PubMed Central  Google Scholar 

  22. Murray PR, Washington JA. Microscopic and baceriologic analysis of expectorated sputum. Mayo Clin Proc. 1975;50(6):339–44.

    CAS  PubMed  Google Scholar 

  23. Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R, Coates A, van der Grinten CPM, Gustafsson P, Hankinson J, et al. Interpretative strategies for lung function tests. Eur Respir J. 2005;26(5):948–68.

    Article  CAS  Google Scholar 

  24. Lazor R, Vandevenne A, Pelletier A, Leclerc P, Court-Fortune I, Cordier JF. Cryptogenic organizing pneumonia. Characteristics of relapses in a series of 48 patients. The Groupe d’Etudes et de Recherche sur les Maladles “Orphelines” Pulmonaires (GERM"O"P). Am J Respir Crit Care Med. 2000;162(2 Pt 1):571–7.

    Article  CAS  Google Scholar 

  25. Lim WS, van der Eerden MM, Laing R, Boersma WG, Karalus N, Town GI, Lewis SA, Macfarlane JT. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax. 2003;58(5):377–82.

    Article  CAS  Google Scholar 

  26. Demedts M, Costabel U. ATS/ERS international multidisciplinary consensus classification of the idiopathic interstitial pneumonias. Lausanne: European Respiratory Society; 2002.

    Book  Google Scholar 

  27. Floyd R. Organization of pneumonic exudates. Med Surg Rep. 1925;25:110.

    Google Scholar 

  28. Milne LS. Chronic pneumonia (including a discussion of two cases of syphilis of the lung). Am J Med Sci (1827–1924). 1911;142(3):408.

    Article  Google Scholar 

  29. Rodríguez-Roisin R, Krowka MJ. Hepatopulmonary syndrome—a liver-induced lung vascular disorder. N Engl J Med. 2008;358(22):2378–87.

    Article  Google Scholar 

  30. Arslan S, Ugurlu S, Bulut G, Akkurt I. The association between plasma D-dimer levels and community-acquired pneumonia. Clinics (Sao Paulo). 2010;65(6):593–7.

    Article  Google Scholar 

  31. Almirall J, Bolíbar I, Toran P, Pera G, Boquet X, Balanzó X, Sauca G. Contribution of C-reactive protein to the diagnosis and assessment of severity of community-acquired pneumonia. Chest. 2004;125(4):1335–42.

    Article  Google Scholar 

  32. Self WH, Balk RA, Grijalva CG, Williams DJ, Zhu Y, Anderson EJ, Waterer GW, Courtney DM, Bramley AM, Trabue C, et al. Procalcitonin as a marker of etiology in adults hospitalized with community-acquired pneumonia. Clin Infect Dis. 2017;65(2):183–90.

    Article  CAS  Google Scholar 

  33. Chawla LS, Amdur RL, Faselis C, Li P, Kimmel PL, Palant CE. Impact of acute kidney injury in patients hospitalized with pneumonia. Crit Care Med. 2017;45(4):600–6.

    Article  Google Scholar 

  34. Demirel B. Lactate levels and pneumonia severity index are good predictors of in-hospital mortality in pneumonia. Clin Respir J. 2018;12(3):991–5.

    Article  Google Scholar 

  35. Poletti V, Cazzato S, Minicuci N, Zompatori M, Burzi M, Schiattone M. The diagnostic value of bronchoalveolar lavage and transbronchial lung biopsy in cryptogenic organizing pneumonia. Eur Respir J. 1996;9(12):2513–6.

    Article  CAS  Google Scholar 

  36. Akira M, Yamamoto S, Sakatani M. Bronchiolitis obliterans organizing pneumonia manifesting as multiple large nodules or masses. AJR Am J Roentgenol. 1998;170(2):291–5.

    Article  CAS  Google Scholar 

  37. Wells AU. Cryptogenic organizing pneumonia. Semin Respir Crit Care Med. 2001;22(4):449–60.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not Applicable.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, KCK and EJK; methodology, EJK; software, EJK; validation, EJK, K-JC, E–HY and KCK; formal analysis, EJK; investigation, EJK; resources, EJK; data curation, K-JC and E–HY; writing—original draft preparation, EJK, K-JC and E–HY; writing—review and editing, EJK; visualization, EJK; supervision, EJK; project administration, EJK. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Eun Jin Kim.

Ethics declarations

Ethics approval and consent to participate

This case series was approved by the institutional review board of Daegu Catholic University Medical Center (No. CR-21-097). The requirement for informed consent was waived.

Consent for publication

Not applicable.

Competing interests

All authors listed above have no conflicts of interest to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, KJ., Yoo, EH., Kim, K.C. et al. Comparison of clinical features and prognosis in patients with cryptogenic and secondary organizing pneumonia. BMC Pulm Med 21, 336 (2021). https://doi.org/10.1186/s12890-021-01707-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12890-021-01707-z

Keywords