Tuberculous pleuritis (TBP) is the second common form of extrapulmonary tuberculosis as well as the main cause of pleural effusion in many countries (1). The diagnosis of tuberculous pleuritis or malignant pleural effusion should be considered in any patient with exudative lymphocytic pleural effusion and need further investigation, such as acid-fast bacilli staining in pleural fluid and sputum, pleural fluid culture and cytology, pleural biopsy culture and histology (2). Some investigations have a limitation, acid-fast bacilli staining and cultures of pleural fluid from the majority of patients are negative. Moreover, microbiological results in taking a time that a clinical decision for management has generally been made before the organism is identified. A combination of pleural biopsy culture and histology increases the diagnostic yield in up to 90% but this approach is invasive (3,4). On the other hand, the diagnostic sensitivity of fluid cytology for pleural malignancy is only average 62% (5). Four meta-analyses demonstrated the uniformly high diagnostic performance of pleural fluid Adenosine deaminase (ADA) in tuberculous pleurisy, which showed 92% of sensitivity and 90% of specificity (6). The most widely accepted cutoff value for pleural fluid ADA is 40 U/L (7). High pleural fluid ADA has also been reported in malignancies (e.g., lymphomas, bronchoalveolar carcinoma, mesothelioma), infectious diseases (e.g., mycoplasma and chlamydia pneumonia, paragonimiasis, infectious mononucleosis, and histoplasmosis), and connective tissue diseases (e.g., rheumatoid arthritis, systemic lupus erythematosus) (7). Moreover, several previous studies have evaluated the performance of Xpert MTB/RIF assay using pleural fluid. Overall, these studies showed limited accuracy with sensitivity ranging from 15% to 44% (8,9). Furthermore, some investigations such as ADA level, Xpert MTB/RIF assay, and pleural biopsy are not available in general hospitals. Recently, The combination of clinical (age, temperature, history of malignancy) and pleural fluid [pleural fluid red blood cell count (RBC), protein, adenosine deaminase (ADA), serum lactate dehydrogenase ratio (LDH) ratio] data can be used to calculate a score which can help facilitate differential diagnosis between TBP and No-TBP effusions (2,10,11). However, a reliable determination of ADA remains difficult to obtain in Thailand. Therefore, the aim of our study was set out to develop a scoring which makes use of clinical and pleural fluid data for differential diagnosis of TBP and No-TBP. We present the following article in accordance with the STROBE Reporting Checklist (available at http://dx.doi.org/10.21037/apm-19-394).
This retrospective study analyzed the case records of all patients with a diagnosis of TBP or malignant pleural effusion at HRH Princess Maha Chakri Sirindhorn Medical Center, Thailand, from January 1, 2011, to December 31, 2014. The participants were selected from the patients who had a lymphocytic exudative pleural effusion, were diagnosed with a standard technique such as Ziehl-Neelsen stains or Lowenstein cultures of pleural fluid/sputum or pleural biopsy, the first pleural effusion results were only used for statistical analysis, and aged more than 18 years. Moreover, the authors were excluded from the study if patients had an incomplete blood sample or pleural fluid parameters.
We collected data regarding basic demographics such as age, gender, tobacco used, occupation, underlying diseases, previous history of cancer and stage of cancer, clinical symptoms/duration (fever, cough, dyspnea, loss of appetite, and weight loss), and pleural fluid parameters such as the site of pleural effusion (right, left or bilateral), volume of pleural effusion, pleural fluid pH, glucose, protein, lactate dehydrogenase (LDH), red blood cells (RBC), white blood cell (WBC), percentage of leukocytes, percentage of neutrophils or lymphocytes, and pleural to serum ratios for protein and LDH, and ADA level.
Diagnosis of tuberculous pleural effusion
In this present study, the pleural effusions were examined tuberculous if (I) Ziehl-Neelsen stains or Lowenstein cultures of pleural fluid or pleural sputum; (II) pleural biopsy in the parietal pleura indicated caseous granuloma; (III) the patients had an exudative lymphocytic effusion with ADA level more than 40 U/L; (IV) exudative lymphocytic pleural effusion that excluding other causes and effusion resolved after treatment with anti-TB drugs. Finally, the patients with malignant pleural effusion were diagnosed with positive pleural fluid cytology or positive malignant cells in pleural biopsy specimens.
The authors used the scoring model for predictive of TBP effusions based on the previous study (2). In the previous study showed that the combination of clinical data such as age <35 years, temperature ≥37.8 °C, and no previous history of malignancy, and pleural fluid chemistry profile such as adenosine deaminase ≥40 U/L, pleural fluid red blood cell count <5×109/L, pleural protein ≥50 g/L, and pleural fluid to serum lactate dehydrogenase ratio ≥2.2 into a score-based model can facilitate differential diagnosis between tuberculous and malignant effusions. When we applied to discriminate tuberculous from malignant effusions, the scoring system in model 1 [adenosine deaminase ≥40 U/L (5 points); age <35 years (2 points); temperature ≥37.8 °C (2 points); pleural fluid red blood cell count <5×109/L (1 point)] had an area under the receiver operating characteristic (ROC) curve of 0.987 (95% CI: 0.976–0.999). On the other hand, the score-based model 2 [no previous history of malignancy (3 points); age <35 years (2 points); temperature ≥37.8 °C (2 points); pleural fluid red blood cell count <5×109/L (1 point); pleural protein ≥50 g/L (1 point); and pleural fluid to serum lactate dehydrogenase ratio ≥2.2 (1 point)] had an area under the ROC curve of 0.982 (95% CI: 0.968–0.995). However, in the present study, the calculations ScoreAdap I ≥5 points was performed using by model 1 and also calculated ScoreAdap II ≥6 points using by model 2 of ADA in the previous study.
The sample size was calculated by STATA version 14.0. A previous study has reported that the proportion of patients with tuberculous pleural effusion was 15.5 (12). The value of Z was set at 1.96. The precision for this estimate was 10%. The authors also calculated for a 10% drop-out rate. Thus, the calculated sample size was 56 patients in the present study.
The present study was approved by the ethics committee of Srinakharinwirot University, Thailand (SWUEC/E-073/2558). Informed consent was waived because the study was retrospective in design. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Individual patient data were anonymized and stored in an encrypted computer.
All statistical analyses were conducted using SPSS version 22.0 (IBM Corp., Armonk, NY, USA). Demographics data, clinical data and pleural fluid chemistry profile of all categorical variables were reported as number and percentage, meanwhile, mean and standard deviation were used to describe continuous variables. The diagnostic sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. We decided the optimal cutoff points of the highest diagnostic accuracy by using receiver-operating-characteristics (ROC) analysis. The two-sided analyses with a p-value less than 5 percentages were considered statistically significant.
From January 1, 2011, to December 31, 2014, 205 patients had pleural fluid analysis at HRH Princess Maha Chakri Sirindhorn Medical Center. We selected 56 patients who were compatible with the inclusion criteria and excluded 149 patients.
All of 56 participants were 15 patients with TBP and 41 patients with No-TBP (27 patients with malignancy and 14 unknown patients) (Figure 1). All 15 patients with confirmed TBP; a pleural biopsy is the most commonly diagnosed in 8 patients. Most patients (20/41) with No-TBP were diagnosed by pleural effusion cytology method. Table 1 showed the clinical and pleural fluid data of TBP and No-TBP. There was no significant difference in all the clinical data (age, gender, tobacco used, fever, cough, dyspnea, weight loss, and anemia) and pleural fluid test evaluated, except for both of the previous history of cancer and pleural fluid ADA level (P value =0.001, 0.010, respectively).
Predictors of tuberculous pleuritis
Our study showed that five explanatory factors predicted TBP (Table 2): ADA level ≥17.5 U/L, scoring I (ADA ≥40 U/L, age <35 years, temperature ≥37.8 °C, and RBC <5×109/L) as ≥ 1.5 points, scoring II (no previous history of cancer, age <35 years, temperature ≥37.8 °C, RBC <5×109/L, pleural protein ≥50 g/L, and LDH ratio ≥2.2) as ≥4.5 points, yielded measures of the area under curve (AUC) 74.0%, 74.0%, and 81.0%, fair sensitivity 73.3%, 73.3%, 71.4%, fair specificity 68.7%, 62.5%, 84.4%, PPV 15.0%, 41.9%, 48.7%, NPV 86.0%, 86.3%, 87.1%, respectively. Moreover, when we set out to develop a scoring which makes use of clinical and pleural fluid data, summated scores of ≥5 points in model 1 and ≥6 points in model 2. Our results indicated that the sensitivity, specificity, PPV, and NPV were 46.7%, 84.45%, 58.3%, 77.1%, and 57.1%, 80.5%, 61.5%, 84.2%, respectively. Moreover, our results demonstrated that seven out of 15 patients (70.0%) with TBP, but only 3/41 patients (30.0%) with No-TBP had pleural ADA levels ≥40 U/L(P=0.007) (Figure 2). 8/15 patients with TBP and 10/41 with No-TBP had RBC less than 5×109/L. 7/15 patients with TBP and 17/41 with No-TBP had protein more than 5 g/dL, in addition, the 6/15 patients with TBP and 6/41 with No-TBP had LDH ratio more than 2.2 U/L. However, when a clinical and pleural fluid data was recorded for inclusion in the analysis, only no previous history of cancer, ADA levels less than 40 U/L, and RBC less than 5×109/L, but not age, fever, protein, and LDH ratio had significant prevalence rate ratio (0.312, 95% CI: 0.21–0.47; 3.238, 95% CI: 1.552–6.755; 3.259, 95% CI: 1.010–10.518, respectively) (Table 3).
In the present study, we were set out to develop a scoring which makes use of clinical such as age, temperature, history of malignancy and pleural fluid data e.g., pleural fluid RBC, protein, ADA, and LDH ratio for differential diagnosis of TBP and No-TBP. Our results showed that ADA level ≥17.5 U/L, In scoring I as ≥1.5 points, scoring II as ≥4.5 points, summated scores of ≥5 points in model 1 and ≥6 points in model 2, no previous history of cancer, and RBC less than 5×109/L may help facilitate differential diagnosis between TBP and No-TBP effusions. These findings are almost similar to a few previous studies have evaluated the utility of clinical and pleural fluid data in diagnosing TBP effusion based on predictive models. In a retrospective study from Spain (2), the most powerful predictor of TBP was a score-based model that included model 1 (ADA ≥40 U/L, age <35 years, temperature ≥37.8 °C, and pleural fluid RBC <5×109/L), model 2 identified other predictive parameters: no history of malignancy, pleural protein ≥50 g/L, and pleural fluid to LDH ratio ≥2.2. A comparison between previous study (2) and our study, this score-based model showed a sensitivity (model 1: 95.0% vs. 73.3%; model 2: 97.0% vs. 71.4%), specificity (model 1: 94.0% vs. 62.5%; model 2: 91.0% vs. 71.1%), and area under the ROC curve (model 1: 0.99 vs. 0.74; model 2: 0.98 vs. 0.81) which previous study were higher than our study. Furthermore, our study also indicated that no previous history of cancer had lower sensitivity but higher specificity (46.7% vs. 100% and 90.6% vs. 41% respectively) and RBC less than 5×109/L had lower sensitivity but higher specificity (72.7% vs. 81% and 65.5% vs. 52% respectively) compared with previous study in Spain (2).
In our present study chosen cutoff point of 17.5 U/L as a retrospective study in 2013 at Sappasittiprasong Hospital, Ubon Ratchathani, Thailand (13), which showed that the cutoff ADA level >17.5 U/L had higher good diagnostic values (sensitivity =88.9% vs. 73.3%, specificity =73.3% vs. 68.7%, and area under the ROC =0.89 vs. 0.74) among TBP effusion than our present study. On the other hand, the same previous study at Srinagarind Hospital, Khon Kaen, Thailand (14) used the cutoff pleural fluid ADA level of 48 U/L higher than our present study, giving a higher sensitivity of 80.0% vs. 73.3%, and higher specificity of 80.5% vs. 68.7%, respectively. In our study revealed that the minimal level in TBP was only 6.63 U/L and the maximum level is 69.94 U/L. Differences from the findings of previous studies might due to the different region; the diagnostic criteria for TBP were not the same. However, the previous study (7) suggesting that pleural fluid ADA levels greater than 40 U/L argue strongly for TBP in areas with high prevalence; in contrast, low levels of pleural ADA have high negative predictive value in low-prevalence. Although the current evidence suggests an ADA level can be a useful confirming a diagnosis of TBP (6), the ADA level should be interpreted in parallel with clinical data and the results of conventional tests e.g., microbiologic examination and pleural biopsy. This study is the first study in the central region with a high incidence of TBP, Thailand, as well as the first study set out to develop a scoring based on the previous study (2) which makes use of clinical and pleural fluid data for differential diagnosis of TBP and No-TBP. However, there was some limitation. Firstly, the limitations of this study are its single, tertiary-hospital retrospective study, which makes the results less generalizable. Secondary, the small sample size was a weakness in our results. Thus, the large sample sizes are warranted to further validate our results. Finally, most lost cases were patients who have missing values such as pleural fluid data e.g., pH, pleural fluid glucose.
In conclusion, our present study suggests an ADA level as more than 17.5 U/L, lower RBC, no previous history of cancer, score-based model 1 more than 1.5 points, score-based model 1 more than 4.5 points, are a relatively sensitive and specific test for the diagnosis of TBP. Therefore, the combination of clinical data and pleural fluid chemistry profile into a score-based model may help to categorize patients into probable TBP for further clinical decision-making.
The authors thank Dr. Kitsarawut Khuancharee (Statistical assistant) for the sustained support in conducting this study. Finally, the authors would like to thank the executives of the HRH Princess Maha Chakri Sirindhorn Medical Center, Thailand and faculty of medicine, Srinakharinwirot University for their cooperation with data collection.
Reporting Checklist: The authors have completed the STROBE Reporting Checklist. Available at http://dx.doi.org/10.21037/apm-19-394
Data Sharing Statement: Available at http://dx.doi.org/10.21037/apm-19-394
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/apm-19-394). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The present study was approved by the ethics committee of Srinakharinwirot University, Thailand (SWUEC/E-073/2558). Informed consent was waived because the study was retrospective in design. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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