Skip to main content
Iranian Red Crescent Medical Journal logoLink to Iranian Red Crescent Medical Journal
. 2015 Oct 28;17(10):e31103. doi: 10.5812/ircmj.31103

Bronchoalveolar Lavage Fluid Characteristics of Patients With Sarcoidosis and Nonsarcoidosis Interstitial Lung Diseases: Ten-Year Experience of a Single Center in Turkey

Hakan Tanriverdi 1,*, Fatma Erboy 1, Bulent Altinsoy 1, Firat Uygur 1, Mehmet Arasli 2, Ishak Ozel Tekin 2, Muge Meltem Tor 1, Figen Atalay 1
PMCID: PMC4636855  PMID: 26566455

Abstract

Background:

Bronchoalveolar lavage (BAL) is a noninvasive and useful technique for evaluating interstitial lung diseases (ILDs). Flow cytometric analysis of BAL fluid reveals specific diagnostic information in some unusual ILDs, and helps to narrow down the possible causes of interstitial diseases in most patients with more common disorders. A high BAL CD4/CD8 ratio is highly specific for sarcoidosis but can also be seen in other ILDs.

Objectives:

In this retrospective, descriptive, cross-sectional study, we compared BAL fluid characteristics and clinical variables in patients with sarcoidosis and non-sarcoidosis ILDs in a large cohort.

Patients and Methods:

The study was conducted in a tertiary university hospital in Zonguldak, the biggest city of the western Black Sea region of Turkey. Between 2004 and 2014, all patients who underwent both fiberoptic bronchoscopy and BAL with a suspicion of ILD were included in the study, retrospectively. Patients were divided into two main groups: sarcoidosis and non-sarcoidosis ILDs. Non-sarcoidosis ILDs were further divided into subgroups: pneumoconiosis, tuberculosis (TB), collagen vascular diseases, idiopathic interstitial pneumonias, malignancies, and unclassified ILDs. The clinical data of patients, including age, gender, smoking status, pulmonary function tests, and BAL flow cytometric analysis results, were compared among groups.

Results:

In total, 261 patients (119 sarcoidosis and 142 non-sarcoidosis ILDs) were enrolled. The median (interquartile range) BAL CD4/CD8 ratio and lymphocyte fraction were significantly higher in sarcoidosis than in non-sarcoidosis ILDs: 3.88 (3.76) versus 0.88 (1.01), respectively, and 20.6 (28.3) versus 6.0 (13.7), respectively. T cell receptor γ delta, CD16+56+, CD103+, CD8+103+, and CD3+16+56+ cells were significantly lower in sarcoidosis than in non-sarcoidosis ILDs. The median BAL CD4/CD8 ratios were significantly higher in patients with TB (1.87, P = 0.01) and malignancies (1.69, P = 0.03) than in other non-sarcoidosis ILDs.

Conclusions:

Among BAL fluid flow cytometric parameters, CD4/CD8 and lymphocyte fraction may be helpful for distinguishing sarcoidosis from other ILDs, but they are neither specific nor diagnostic for any lung disease. Thus, a multidisciplinary diagnostic discussion is required to differentiate various ILDs.

Keywords: Bronchoalveolar Lavage; CD4/CD8 Ratio; Lung Diseases, Interstitial; Pneumoconiosis; Flow Cytometry

1. Background

Bronchoalveolar lavage (BAL) can sample cells and solutes from the lower respiratory tract, and thus it has become a standard diagnostic procedure in all patients with unclear diffuse lung abnormalities, whether an infectious, non-infectious, immunological, or malignant etiology is suspected (1-3). BAL fluid obtained from healthy individuals who have never smoked typically contains mostly alveolar macrophages (80 - 90%), followed by lymphocytes (5 - 15%), and neutrophils (< 3%) or eosinophils (< 1%) (4, 5). Interstitial lung diseases (ILDs) include respiratory tract disorders of unknown etiology in most cases; their clinical courses differ (1) and their prognoses are generally serious and associated with substantial morbidity and mortality (6). Known etiologies and associations with ILDs include pneumoconioses, connective tissue diseases associated with ILD (CT-ILD), and hypersensitivity pneumonitis (HP). ILDs of unknown etiology include sarcoidosis and idiopathic interstitial pneumonias (IIP) (5). The diagnosis of IIP requires exclusion of known causes of ILDs, such as drug or inhalational exposure and CTDs. A multidisciplinary diagnosis is the gold standard for diagnosing IIP (7).

Analyses of total and differential counts of inflammatory cells and the CD4/CD8 ratio in BAL fluid reveal specific diagnostic information in some unusual ILDs, and help to narrow down the possible causes of diseases in most patients with more common disorders, such as sarcoidosis, HP, and eosinophilic pneumonia (8, 9). In healthy individuals, the CD4+/CD8+ lymphocyte ratio is 1.0 - 3.5, with average values ranging between 1.5 and 2.0 (2). Strong correlations have been reported between age and lymphocyte subsets in BAL fluid (10). Elderly subjects tend to have increased levels of lymphocytes and neutrophils and an elevated CD4/CD8 ratio in BAL fluid, suggesting that advanced age may affect BAL cell differentials (2, 4, 10). BAL is a noninvasive diagnostic procedure for ILDs; the diagnosis of certain non-IIP diseases, such as HP, sarcoidosis, and pulmonary alveolar proteinosis; and the exclusion of infection or malignancy (11). However, in the majority of cases, the results of BAL fluid examinations only provide additional information, and cannot be the basis for a definitive diagnosis of ILDs (1). A BAL CD4/CD8 ratio > 3.5 is highly specific for sarcoidosis but can also be seen in various diseases, including tuberculosis (TB) and malignancies.

2. Objectives

In this retrospective study, we assessed the clinical and demographic data of patients with ILDs and compared the BAL fluid features of patients with different ILDs, such as sarcoidosis, IIPs, CT- ILD, pneumoconiosis, TB, and other ILDs.

3. Patients and Methods

This study was retrospective, descriptive, and cross-sectional, and was conducted at Bulent Ecevit University Faculty of Medicine Hospital (formerly Karaelmas University), Zonguldak, Turkey, in 2014. The hospital is a tertiary teaching and research hospital that serves as a referral hospital for the region of the western Black Sea. The pulmonary diseases department has 21 beds in wards and 11 beds in a respiratory intensive care unit.

This study was approved by Clinical Research Ethics Committee of Bulent Ecevit University (decision number: 2014/17, approval date: 16-09-2014). All of the interventions were aspects of routine clinical evaluations for suspected ILDs; none of them were made for clinical research. Patient privacy was observed during the study period.

3.1. Study Population

We investigated all fiberoptic bronchoscopy (FOB) records retrospectively between 2004 and 2014. In total, 5041 patients underwent FOB between 2004 and 2014. Of these, we included 314 patients who underwent both FOB and BAL for suspected ILDs; however, 53 were excluded because of inadequate data or technical errors in BAL sampling (Figure 1).

Figure 1. Flow Chart of the Study Shows Inclusion and Exclusion Criterion of Study Population.

Figure 1.

Therefore, 261 patients were included in the study. Medical records of patients were investigated using the hospital’s automated system. Demographic and clinical data of patients, such as age, gender, smoking status, pulmonary function test results (routine spirometry and diffusing capacity of carbon monoxide [DLCO]), BAL flow cytometry (FC), and cytopathology and/or histopathology results (if a biopsy was obtained), and final diagnoses were recorded. Pulmonary function tests were performed using a Jaeger Masterscreen PFT (Erich Jaeger GmbH, Hoechberg, Germany), which was calibrated daily. The patients were classified as sarcoidosis and non-sarcoidosis ILDs; the non-sarcoidosis ILDs were further subgrouped as pneumoconiosis, CT-ILD, IIPs, TB, malignancy, infection, and unclassified interstitial fibrosis. Clinical variables were compared among groups.

3.2. BAL

BAL is usually part of our routine clinical evaluation in all patients with suspected ILDs, if not contraindicated. BAL was performed in accordance with guidelines (2, 3, 5): a flexible bronchoscope (Olympus BF, Type 1T160 or P160, Olympus, Tokyo, Japan) was moved to the area of the greatest radiological abnormality seen on high-resolution computed tomography of the chest or in the right middle lobe or lingula in the presence of diffuse involvement. At least three aliquots of 40 mL sterile saline at room temperature were instilled through the FOB, and retrieved gently by mechanical suction. The standard volume used in most patients was 120 mL (maximum, 200 mL). Only the second aliquot was used for BAL analysis. All of the patients were newly diagnosed at the time the BAL was performed, and none of them had received steroid treatment before the BAL was performed.

3.3. BAL Flow Cytometric Analysis

BAL fluid cells were washed in phosphate-buffered saline (PBS), resuspended at 1 × 106 cells/mL in 0.1% bovine serum albumin in PBS, and stained with the following antibodies: CD14-PE, CD45-FITC, CD4- PC5, CD8-PE, CD3-FITC, CD3-PE, CD103-FITC, CD19-PE, TCR γ delta-FITC, and CD16+56-PE. Isotype-matched antibodies were used as negative controls. All of the antibodies were purchased from Beckman Coulter (Fullerton, CA, USA). Following staining and incubation at room temperature, samples were immediately analyzed by flow cytometry (Beckman Coulter, FC500). Data from at least 10,000 cells were recorded for each tube. Standardized gating was performed without any clinical information about the individual patients.

3.4. Statistical Analyses

Statistical analyses were performed using the SPSS software (ver. 19.0; SPSS Inc. Chicago, IL, USA). Normality of the data was assessed with the Shapiro-Wilk test. Continuous variables are presented as means ± Standard Deviations or medians (interquartile range), and categorical variables are presented as frequencies and percentages. Pearson’s χ2 or Fisher’s exact tests were used to compare categorical variables. The independent-samples t-test or the Mann Whitney U test was used to compare continuous variables between the groups, and analysis of variance (ANOVA) or the Kruskal-Wallis test was used to detect differences among three or more groups. A P value < 0.05 was considered statistically significant.

4. Results

In total, 261 patients (119 sarcoidosis and 142 non-sarcoidosis ILD, mean age 52.3 ± 13.3 years) were enrolled. The demographic and clinical data of patients are shown in Table 1. The median value of DLCO (% predicted), forced vital capacity (FVC), and forced expiratory volume in the first second (FEV1) were significantly lower in non-sarcoidosis ILD than in sarcoidosis patients (Table 1). Of the non-sarcoidosis ILD patients, 67% showed mild to severe impairment of pulmonary function (DLCO ≤ 80% predicted). A restrictive pattern was observed in 49% of non sarcoidosis ILD patients, whereas 77% of sarcoidosis patients had normal spirometry. Although normal spirometry results were observed in most sarcoidosis patients, half of them showed mild to moderate decreases in DLCO (Table 1). The median BAL lymphocyte fraction was significantly higher in sarcoidosis than in non-sarcoidosis ILDs (20.6% and 6.0%, respectively), whereas the BAL neutrophil percentage was significantly lower (11.2% and 16.4%, respectively; p values for both < 0.001).

Table 1. Clinic and Demographic Characteristic of Patientsa,b.

Variables Sarcoidosis NS ILD P Value
No of subjects 119 142 -
Age, y 47.58 ± 12.2 56.8 ± 13.3 0.000
Gender, Male c 32 (26.9) 77 (54.2) 0.000
Smoking status (% of subjects) c/n/e 12/68/20 18/48/34 0.020
Smoking pack-year 11.8 ± 9.8 25.5 ± 14.4 0.000
ESR mm/h 23 (3 - 83) 33 (3 - 85) 0.866
CRP mg/dL 4.6 (2 - 120) 14 (2 - 179) 0.039
FEV1 % pred. 95 (41 - 136) 88 (21 - 140) 0.038
FVC % pred. 98 (42 - 140) 83 (0 - 137) 0.001
DLCO % pred 79 (29 - 119) 63 (22 - 113) 0.001
Pulmonary function test (% of subjects) 0.001
DLCO ≥ 80% pred 50 33
DLCO 60 - 79 % pred 30 28
DLCO 40 - 59 %pred 17 22
DLCO ≤ 40 % pred 3 17
Spirometric results (% of subjects) 0.003
Normal 77 44
Restrictive 19 49
Obstructive 4 7

aValues presented as mean ± SD, or median (min-max).

babbreviations: c = current smoker, n: never smoked, CRP: C-reactive protein, DLCO: Diffusion capacity of lung for carbonmonoxide, Smoking status, e: exsmoker. ESR: Erytrocyte sedimantation rate, FEV1: Forced expiratory volume in first second. FVC: Forced vital capacity.

cValues are presented as No. (%).

As expected, the median CD4/CD8 ratio in BAL fluid was significantly higher in sarcoidosis than in non-sarcoidosis ILDs: 3.87 (range, 0.46 - 20) and 0.88 (range, 0.1 - 9.2), respectively (P < 0.001). Levels of T cell receptor (TCR) γ delta, CD16+56+, CD103+, CD8+103+, and CD3+16+56+ lymphocytes were significantly lower in sarcoidosis than in non sarcoidosis ILDs. Levels of CD3+103+ and CD4+103+ lymphocytes were not significantly different between non-sarcoidosis ILD and sarcoidosis groups (Table 2).

Table 2. Comparison of BAL Fluid Analysis of Patients With Sarcoidosis and Non-Sarcoidosis ILDsa,b.

Variables Sarcoidosis NS ILD P
No of subjects 119 142
CD4/CD8 3.87 (3.76) 0.88 (1.01) < 0.001
Lymphocyte, % 20.6 (28.3) 6.0 (13.7) < 0.001
Neutrophil, % 11.2 (8.3) 16.4 (22.8) < 0.001
CD3 + 103 + , % 22.9 (22) 31.6 (17.8) 0.052
CD3 + 16 + 56 + , % 5.6 (4.7) 8.02 (6.7) 0.008
CD4 + , % 70 (23) 28 (24.4) < 0.001
CD8 + , % 15 (18.8) 36 (27.7) < 0.001
CD16 + 56 + , % 2.6 (2.6) 4.4 (5.2) 0.008
CD4 + 103 + , % 8.6 (7.2) 7 (5.7) 0.417
CD8 + 103 + , % 8.9 (14.1) 21 (26.3) < 0.001
CD103 + , % 21.2 (20.8) 34.5 (29.7) 0.001
TCR γ delta, % 2.05 (2.1) 2.7 (3.9) 0.020

aAbbreviations: NS ILD: Nonsarcoidosis interstitial lung diseases, TCR: T cell receptor.

bValues presented as median (min-max).

BAL fluid analysis of patients in the subgroups of ILD patients revealed only significantly higher CD4/CD8 ratios in patients with TB and malignancies compared to the other subgroups of non-sarcoidosis ILDs. There were no significant differences among the subgroups of ILDs in terms of median percentage of BAL lymphocytes or neutrophils, CD16+56+, CD3+16+56+, or TCR γ delta (Table 3). No significant differences were seen between TB and malignancy patients in terms of CD4/CD8 or other BAL fluid parameters. The CD4/CD8 ratio was higher than 2.5 in 21.4% of TB patients, 67.2% of sarcoidosis patients, and 27.3% of malignancy patients (Table 4).

Table 3. Comparison of Lymphocyte Subpopulation in BAL Fluid of Patients in Nonsarcoidosis ILD Subgroupsa,b.

n CD4/CD8 Lymphocyte, No. (%) Neutrophil No. (%) CD3+16+56+ No. (%) CD16+56 No. (%) TCR γ delta No. (%)
Pneumoconosis 29 0.91 (0.8) 4.8 (12.3) 13.8 (19.1) 3.9 (2.7) 4.4 (6.5) 3.5 (6.7)
CT-ILD 23 0.66 (1.01) 5.7 (10.6) 18.2 (15.9) 5.7 (5.1) 5.1 (4.7) 2.5 (4.8)
IIPs c 19 0.54 (1.06) 6.8 (10.1) 30.9 (35.8) 10.9 (16.6) 5.2 (6.5) 4.6 (6.9)
Tuberculosis d 14 1.87 (1.18) 9.8 (22.3) 16.6 (21.3) 3.8 (2.7) 4.2 (5.3) 4 (3.8)
Infection 14 1. 02 (0.8) 6 (12) 13.4 (19) 7 (9.7) 3.3 (5.5) 2.6 (4.8)
Malignancy e 11 1.69 (1.74) 14.6 (18) 20.3 (31.7) 4.1 (8.8) 2.9 (5.1) 2.7 (4.2)
Other ILDs f 13 0.58 (0.8) 4.8 (27.5) 14.8 (5.5) 4.2 (3.9) 3.4 (7.2) 3.5 (7.7)
Unclassified/fibrosis 19 0.86 (0.67) 8.2 (35.2) 10.6 (18.9) 8.1 (3.8) 5.2 (6.3) 2.3 (1.8)
P value < 0.05 d < 0.05 e > 0.05 > 0.05 > 0.05 > 0.05

aValues presented as median (interquartile range).

babbreviations : CT-ILD, Connective tissue associated interstitial lung diseases; IIP, Idiopathic interstitial pneumonia; TB, Tuberculosis, Pnmcns, pnuemoconiosis.

cIIPs: 13 patients idiopathic pulmonary fibrosis, 3 patients idiopathic nonspecific interstitial pneumonia, 2 patients cryptonised organizing pneumonia, 1 patient acute interstitial pneumonia.

ddifference is significant for tuberculosis vs IIPs (P = 0.03), vs. CT-ILD (P = 0.021), vs. other ILDs (P = 0.011), vs. unclassified/fibrosis (P = 0.035).

edifference is significant for malignancy vs. IIPs (P = 0.029), vs. CT-ILD (P = 0.005), vs. other ILDs (P = 0.002), vs. unclassified/fibrosis (P = 0.005), vs. pneumoconiosis (P = 0.013), vs. infection (P = 0.025).

fOther ILDs: 4 patients hypersensitivity pneumonia, 3 patients: Respiratory bronchiolitis ILD, 2 patients drug/medicine associated ILD, 2 patients pulmonary alveolar proteinosis, 1 patient eosinophilic granuloma, 1 patient lymphocytic intersititial pneumonia, 1 patient; Lymphangioleiomyomatosis, Malignancy: 1 patient kaposy’s sarcoma, 1 patient multipl myeloma, 3 patients lymphoma, 6 patients primer or metastastic lung cancer. Pneumoconiosis 5 patients Silicosis, 24 patients coal worker’s pneumonoconiosis. CT-ILD: 9 patients rheumotoid arthritis, 5 patients systemic lupus eritematosus, 3 patients sjogren’s syndrome. 2 patients scleroderma, 2 patients polymyositis/dermatomyositis, 2 patients ancylosing spondilytis.

Table 4. BAL CD4/CD8 Ratios of Patients With ILDsa,b.

ILDs BAL CD4/CD8 Ratio
< 1.5 1.5 - 2.5 2.5 - 3.5 > 3.5
Sarcoidosis 18 (15.1) 21 (17.6) 12 (10.1) 68 (57.1)
IIPs 15 (78.9) 2 (10.5) 2 (10.5) 0
Tuberculosis 4 (28.6) 7 (50) 0 3 (21.4)
Pneumoconiosis 24 (82.8) 3 (10.3) 0 2 (6.9)
CT-ILD 18 (78.3) 4 (17.4) 0 1 (4.3)
Malignancy 6 (54.5) 2 (18.2) 2 (18.2) 1 (9.1)
Other ILDs 16 (94.1) 1 (5.9) 0 0
Infection 12 (85.7) 1 (7.1) 1 (7.1) 0
Unclassified/Fibrosis 13 (86.7) 2 (13.3) 0 0

aAbbreviations: BAL, Bronchoalveolar lavage; CT-ILD, Connective tissue associated interstitial lung diseases; ILD, Interstitial lung disease.

bData are presented as No. (%).

5. Discussion

In this retrospective study, the BAL lymphocyte fraction and CD4/CD8 ratio were significantly higher in sarcoidosis patients than in non-sarcoidosis ILDs, whereas the neutrophil fraction and levels of TCR γ delta, CD16+56+, CD103+, CD8+103+, and CD3+16+56+ lymphocytes were significantly lower. However, no significant differences were found between sarcoidosis and non-sarcoidosis ILD patients in terms of the levels of CD3+103+ or CD4+103+ lymphocyte subgroups. Among non-sarcoidosis ILDs, only the CD4/CD8 ratio was significantly higher in patients with TB and malignancies compared to other non-sarcoidosis ILDs.

Several studies have shown that the BAL CD4/CD8 ratio and lymphocyte fraction are higher in sarcoidosis than in non-sarcoidosis ILD patients (2, 9, 12-18). Similar to our results, Suzuki et al. (16) showed that the BAL CD4/CD8 ratio and lymphocyte fraction were significantly higher in sarcoidosis patients than in CT-ILD, IPF, and healthy subjects (4.25 versus 1.46, 1.44, and 2.15, respectively, and 33.1% versus 22.6%, 29.7%, and 10.3%, respectively). In a recent study that included 51 sarcoidosis and 132 non-sarcoidosis patients (9), the BAL lymphocyte fraction and CD4/CD8 ratio were 2.5 - 3 fold greater in sarcoidosis than in non-sarcoidosis ILD patients. In contrast to our results, Mota et al. (19) reported a significantly higher BAL lymphocyte fraction in non-sarcoidosis ILDs than in sarcoidosis ILDs (54% and 34.8%, respectively). However, in their study, nearly 50% of the non-sarcoidosis ILDs were HP. In our study population, only four patients (3% of the non-sarcoidosis ILDs) were diagnosed with HP.

An elevated total cell count in the BAL fluid of patients with ILD is common (20). Increased levels of neutrophils in BAL fluid are correlated with disease severity and prognosis for both HP and IPF, whereas eosinophilia of BAL fluid has been linked to more severe disease and worse prognosis in IPF. In our patient population, the median neutrophil count in BAL fluid was higher in IIP patients, but the difference was not significant. Drent et al. (21) investigated the initial BAL of 2,008 patients with sarcoidosis, HP, and IPF during a 10-year period, and reported high absolute and relative numbers of lymphocytes in the sarcoidosis and HP groups, high numbers of plasma cells and mast cells in the HP group, and an increased number of neutrophils and eosinophils in the IPF group. Welker et al. (22) studied 436 patients diagnosed as having one of four major ILDs (sarcoidosis, UIP, HP, or NSIP), and demonstrated that when BAL lymphocytes, granulocytes, and CD4/CD8 were combined, a low percentage of lymphocytes and granulocytes and an elevated CD4/CD8 ratio raised the likelihood of sarcoidosis to > 85%.

In this study, we assessed the BAL fluid features of patients with non-sarcoidosis ILDs, and found that only the CD4/CD8 ratio differed significantly among subgroups. This ratio was significantly higher in patients with TB and malignancies. Ryu et al. (11) compared 87 UIP and 35 idiopathic NSIP patients with pathologically confirmed diseases (surgical lung biopsies) and found that neutrophil counts in BAL fluid were significantly higher in UIP (7.0%) than NSIP (3.0%), whereas lymphocyte counts were significantly higher in NSIP (29.0%) than in UIP (5.5%). Their study showed that analysis of the differential white blood cell count in BAL fluid was useful not only for separating NSIP from UIP but also for predicting the prognosis in patients with fibrotic IIP. In contrast, Veeraraghavan et al. (1) compared UIP and fibrotic NSIP and found no significant or marginal differences in BAL data, such as total cells and differential counts. Two of their patients had a normal BAL differential count, and neutrophil levels were elevated by almost 90% for both UIP and fibrotic NSIP.

Another important subgroup in our study population among the non-sarcoidosis ILDs was pneumoconiosis (20% of non-sarcoidosis ILDs). Zonguldak is the biggest coal mining area in Turkey. Thus, a large proportion of our patient population consisted of coalminers. There were no significant differences between pneumoconiosis and the other ILDs in the BAL fluid analysis. In a Turkish study, Kayacan et al. (23) investigated BAL fluid cellular profiles of miners and found that the lymphocyte percentile was significantly lower in miners than in non-smoker controls, but neutrophils were not significantly different. In a retrospective study (24) in which 20 patients with pneumoconiosis were assessed, the mean percentages of lymphocytes and neutrophils in BAL fluid were 22 ± 12.4% and 12.8 ± 15.2%, respectively.

TB remains an important public health problem in many developing countries, and assessing the utility of BAL cellular profiles for differentiating sarcoidosis from TB may be of considerable clinical importance. In this study, median CD4/CD8 ratios were significantly higher in sarcoidosis patients than in TB patients. The ratio was significantly higher in TB than in all subgroups of non-sarcoidosis ILDs except malignancies. It was > 3.5 in 21% of TB patients. In a study (25) in which 88 sarcoidosis and 76 TB patients were compared, a significantly high percentage of lymphocytes in BAL fluid was demonstrated (median 30% in sarcoidosis versus 14% in TB). In that study, the value of a high CD4/CD8 ratio as an independent predictor of sarcoidosis was diminished by the scattered CD4/CD8 ratio distribution in TB patients: 29% of the TB patients had values > 3.5. In a recent meta-analysis, Yin et al. (26) reported that the mean ratios ranged between 1.23 and 2.9 in TB patients and 1.2 and 2.6 in healthy controls.

Our study had some limitations. First, the study was retrospective; thus, there were some missing data points. Second, the study population was very heterogeneous and the numbers of patients in the groups were not equal. Third, some patients were diagnosed by clinicoradiological methods, and a histopathological confirmation was not made in all patients. Despite these limitations, our study population was relatively large and included various ILDs. In addition, most of the patients were followed for a long time; thus, the diagnoses were confirmed.

BAL fluid analysis appears to be helpful for distinguishing sarcoidosis and non-sarcoidosis ILDs when assessed through clinicopathological and radiological evaluations, whereas it does not seem useful for distinguishing among non-sarcoidosis ILD subgroups. BAL fluid parameters, including the number of lymphocytes and the CD4/CD8 ratio, are neither specific nor diagnostic for any ILDs because of the high variability in these values.

Acknowledgments

The authors thank all the patients and clinical investigators who are involved in this study.

Footnotes

Authors’ Contributions:Study concept and design: Hakan Tanriverdi, Fatma Erboy, Bulent Altinsoy, Firat Uygur, Mehmet Arasli, Ishak Ozel Tekin, Muge Meltem Tor, Figen Atalay. Acquisition of data: Hakan Tanriverdi, Fatma Erboy, Bulent Altinsoy, Firat Uygur, Mehmet Arasli, Ishak Ozel Tekin, Muge Meltem Tor, Figen Atalay. Analysis and interpretation of data: Hakan Tanriverdi, Fatma Erboy, Bulent Altinsoy, Firat Uygur, Mehmet Arasli, Ishak Ozel Tekin, Muge Meltem Tor, Figen Atalay. Drafting of the manuscript: Hakan Tanriverdi, Figen Atalay, Firat Uygur, Bulent Altinsoy. Critical revision of the manuscript for important intellectual content: Muge Meltem Tor, Figen Atalay, Hakan Tanriverdi, Ishak Ozel Tekin. Statistical analysis: Bulent Altinsoy, Hakan Tanriverdi, Mehmet Arasli. Administrative, technical, and material support: Mehmet Arasli, Hakan Tanriverdi, Firat Uygur, Fatma Erboy. Study supervision: Muge Meltem Tor, Figen Atalay, Hakan Tanriverdi, Ishak Ozel Tekin.

References

  • 1.Veeraraghavan S, Latsi PI, Wells AU, Pantelidis P, Nicholson AG, Colby TV, et al. BAL findings in idiopathic nonspecific interstitial pneumonia and usual interstitial pneumonia. Eur Respir J. 2003;22(2):239–44. doi: 10.1183/09031936.03.00105202. [DOI] [PubMed] [Google Scholar]
  • 2.Costabel U, Guzman J. Bronchoalveolar lavage in interstitial lung disease. Curr Opin Pulm Med. 2001;7(5):255–61. doi: 10.1097/00063198-200109000-00002. [DOI] [PubMed] [Google Scholar]
  • 3.Haslam PL, Baughman RP. Report of ERS Task Force: guidelines for measurement of acellular components and standardization of BAL. Eur Respir J. 1999;14(2):245–8. doi: 10.1034/j.1399-3003.1999.14b01.x. [DOI] [PubMed] [Google Scholar]
  • 4.Meyer KC, Raghu G. Bronchoalveolar lavage for the evaluation of interstitial lung disease: is it clinically useful? Eur Respir J. 2011;38(4):761–9. doi: 10.1183/09031936.00069509. [DOI] [PubMed] [Google Scholar]
  • 5.Meyer KC, Raghu G, Baughman RP, Brown KK, Costabel U, du Bois RM, et al. 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. 2012;185(9):1004–14. doi: 10.1164/rccm.201202-0320ST. [DOI] [PubMed] [Google Scholar]
  • 6.Domagala-Kulawik J. BAL in the diagnosis of smoking-related interstitial lung diseases: review of literature and analysis of our experience. Diagn Cytopathol. 2008;36(12):909–15. doi: 10.1002/dc.20944. [DOI] [PubMed] [Google Scholar]
  • 7.Travis WD, Costabel U, Hansell DM, King TE, 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(6):733–48. doi: 10.1164/rccm.201308-1483ST. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Papakosta D, Manika K, Kyriazis G, Kontakiotis T, Gioulekas D, Polyzoni T, et al. Bronchoalveolar lavage fluid eosinophils are correlated to natural killer cells in eosinophilic pneumonias. Respiration. 2009;78(2):177–84. doi: 10.1159/000203989. [DOI] [PubMed] [Google Scholar]
  • 9.Tondell A, Ro AD, Asberg A, Borset M, Moen T, Sue-Chu M. Activated CD8(+) T cells and NKT cells in BAL fluid improve diagnostic accuracy in sarcoidosis. Lung. 2014;192(1):133–40. doi: 10.1007/s00408-013-9527-8. [DOI] [PubMed] [Google Scholar]
  • 10.Heron M, Grutters JC, ten Dam-Molenkamp KM, Hijdra D, van Heugten-Roeling A, Claessen AM, et al. Bronchoalveolar lavage cell pattern from healthy human lung. Clin Exp Immunol. 2012;167(3):523–31. doi: 10.1111/j.1365-2249.2011.04529.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ryu YJ, Chung MP, Han J, Kim TS, Lee KS, Chun EM, et al. Bronchoalveolar lavage in fibrotic idiopathic interstitial pneumonias. Respir Med. 2007;101(3):655–60. doi: 10.1016/j.rmed.2006.06.003. [DOI] [PubMed] [Google Scholar]
  • 12.Nureki S, Miyazaki E, Ando M, Ueno T, Fukami T, Kumamoto T, et al. Circulating levels of both Th1 and Th2 chemokines are elevated in patients with sarcoidosis. Respir Med. 2008;102(2):239–47. doi: 10.1016/j.rmed.2007.09.006. [DOI] [PubMed] [Google Scholar]
  • 13.Hyldgaard C, Kaae S, Riddervold M, Hoffmann HJ, Hilberg O. Value of s-ACE, BAL lymphocytosis, and CD4+/CD8+ and CD103+CD4+/CD4+ T-cell ratios in diagnosis of sarcoidosis. Eur Respir J. 2012;39(4):1037–9. doi: 10.1183/09031936.00144311. [DOI] [PubMed] [Google Scholar]
  • 14.Danila E, Norkuniene J, Jurgauskiene L, Malickaite R. Diagnostic role of BAL fluid CD4/CD8 ratio in different radiographic and clinical forms of pulmonary sarcoidosis. Clin Respir J. 2009;3(4):214–21. doi: 10.1111/j.1752-699X.2008.00126.x. [DOI] [PubMed] [Google Scholar]
  • 15.Chapman JT, Mehta AC. Bronchoscopy in sarcoidosis: diagnostic and therapeutic interventions. Curr Opin Pulm Med. 2003;9(5):402–7. doi: 10.1097/00063198-200309000-00011. [DOI] [PubMed] [Google Scholar]
  • 16.Suzuki E, Tsukada H, Ishida T, Ishizuka O, Hasegawa T, Gejyo F. Correlation between the numbers of gammadelta T cells and CD4+ HLA-DR+ T cells in broncho-alveolar lavage fluid from patients with diffuse lung disease. Tohoku J Exp Med. 2002;196(4):231–40. doi: 10.1620/tjem.196.231. [DOI] [PubMed] [Google Scholar]
  • 17.Reichenberger F, Kleiber B, Baschiera B, Bubendorf L, Brutsche M, Dalquen P, et al. Bronchoalveolar lavage quality influences the T4/T8 ratio in sarcoidosis. Respir Med. 2007;101(9):2025–30. doi: 10.1016/j.rmed.2006.11.027. [DOI] [PubMed] [Google Scholar]
  • 18.Drent M, Mansour K, Linssen C. Bronchoalveolar lavage in sarcoidosis. Semin Respir Crit Care Med. 2007;28(5):486–95. doi: 10.1055/s-2007-991521. [DOI] [PubMed] [Google Scholar]
  • 19.Mota PC, Morais A, Palmares C, Beltrao M, Melo N, Santos AC, et al. Diagnostic value of CD103 expression in bronchoalveolar lymphocytes in sarcoidosis. Respir Med. 2012;106(7):1014–20. doi: 10.1016/j.rmed.2012.03.020. [DOI] [PubMed] [Google Scholar]
  • 20.Domagala-Kulawik J, Skirecki T, Maskey-Warzechowska M, Grubek-Jaworska H, Chazan R. Bronchoalveolar lavage total cell count in interstitial lung diseases--does it matter? Inflammation. 2012;35(3):803–9. doi: 10.1007/s10753-011-9378-5. [DOI] [PubMed] [Google Scholar]
  • 21.Drent M, Mulder PG, Wagenaar SS, Hoogsteden HC, van Velzen-Blad H, van den Bosch JM. Differences in BAL fluid variables in interstitial lung diseases evaluated by discriminant analysis. Eur Respir J. 1993;6(6):803–10. [PubMed] [Google Scholar]
  • 22.Welker L, Jorres RA, Costabel U, Magnussen H. Predictive value of BAL cell differentials in the diagnosis of interstitial lung diseases. Eur Respir J. 2004;24(6):1000–6. doi: 10.1183/09031936.04.00101303. [DOI] [PubMed] [Google Scholar]
  • 23.Kayacan O, Beder S, Karnak D. Cellular profile of bronchoalveolar lavage fluid in Turkish miners. Postgrad Med J. 2003;79(935):527–30. doi: 10.1136/pmj.79.935.527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cordeiro CR, Jones JC, Alfaro T, Ferreira AJ. Bronchoalveolar lavage in occupational lung diseases. Semin Respir Crit Care Med. 2007;28(5):504–13. doi: 10.1055/s-2007-991523. [DOI] [PubMed] [Google Scholar]
  • 25.Greco S, Marruchella A, Massari M, Saltini C. Predictive value of BAL cellular analysis in differentiating pulmonary tuberculosis and sarcoidosis. Eur Respir J. 2005;26(2):360–1. doi: 10.1183/09031936.05.00042905. [DOI] [PubMed] [Google Scholar]
  • 26.Yin Y, Qin J, Dai Y, Zeng F, Pei H, Wang J. The CD4+/CD8+ Ratio in Pulmonary Tuberculosis: Systematic and Meta-Analysis Article. Iran J Public Health. 2015;44(2):185–93. [PMC free article] [PubMed] [Google Scholar]

Articles from Iranian Red Crescent Medical Journal are provided here courtesy of Brieflands

RESOURCES