Abstract
Objective
To investigate the relationship among angiogenic cytokines, fibrinolytic activity and effusion size in parapneumonic effusion (PPE) and their clinical importance.
Methods
From January 2008 through December 2010, 26 uncomplicated (UPPE) and 38 complicated (CPPE) PPE were studied. Based on chest ultrasonography, there were non-loculated in 30, uni-loculated in 12, and multi-loculated effusions in 22 patients. The effusion size radiological scores, and effusion vascular endothelial growth factor (VEGF), interleukin (IL)-8, plasminogen activator inhibitor type-1 (PAI-1) and tissue type plasminogen activator (tPA) were measured on admission. Treatment outcome and pleural fibrosis, defined as radiological residual pleural thickening (RPT), were assessed at 6-month follow-up.
Results
The effusion size and effusion VEGF, IL-8 and PAI-1/tPA ratio were significantly higher in CPPE than in UPPE, and significantly higher in multi-loculated PPE than in non-locualted and uni-loculated PPE, respectively. VEGF (cutoff value 1975 pg/ml) and IL-8 (cutoff value 1937 pg/ml) seemed best to discriminate between UPPE and CPPE. VEGF, IL-8 and effusion size correlated positively with PAI-1/tPA ratio in both UPPE and CPPE. Moreover, the level of VEGF, but not IL-8, correlated positively with effusion size in all patients (r = 0.79, p<0.001) and in UPPE (r = 0.64, p<0.001) and CPPE (r = 0.71, p<0.001) groups. The patients with higher VEGF or greater effusion were prone to have medical treatment failure (n = 10; VEGF, odds ratio 1.01, p = 0.02; effusion size, odds ratio 1.26, p = 0.01). Additionally, ten patients with RPT had larger effusion size and higher levels of VEGF and PAI-1/tPA ratio than did those without.
Conclusions
In PPE, VEGF and IL-8 levels are valuable to identify CPPE, and higher VEGF level or larger effusion is associated with decreased fibrinolytic activity, development of pleural loculation and fibrosis, and higher risk of medical treatment failure.
Introduction
Formation of parapneumonic effusion (PPE) involves increased vascular permeability of the pleura induced by the contiguous pneumonia. Exposure of pleural mesothelial cells to bacteria or lipopolysaccharide may increase release of angiogenic factors, including vascular endothelial growth factor (VEGF) and interleukin (IL)-8, induce vascular hyperpermeability and pleural fluid production, activate coagulation cascade, and repress fibrinolytic activity within the pleural cavity [1], [2], leading to the development of a “fibrinopurulent” or “complicated” PPE (CPPE) [3].
Fluid loculation with fibrin septation is commonly found to be the initial presentation of CPPE and associated with poor outcome [4], [5]. Fibrin turnover in the pleural cavity is affected by fibrinolytic activity mediated by plasmin, which is regulated by the equilibrium between plasminogen activators (PAs) and plasminogen activator inhibitors (PAIs) [6]. An imbalance between PAI-1 and tissue type plasminogen activator (tPA) may elicit fibrin formation and subsequent pleural fluid loculation and fibrosis [5], [7].
VEGF may facilitate the genesis of fibrin gel in PPE [8]. Previous studies reported that VEGF might play a role in the modulation of tPA and PAI-1 [9], and that anti-VEGF antibody could attenuate pleurodesis and reduced fluid volume of inflammatory pleural effusion in experimental models [10]–[12]. These findings suggest that VEGF may be involved in the regulation of fibrin turnover and fluid loculation in the pleural cavity and subsequent residual pleural thickening (RPT) or fibrosis [8]. However, the clinical relevance of angiogenic cytokines, fibrinolytic activity and effusion volume in PPE remains unclear. The aim of the present study was to evaluate the relationship among angiogenic cytokines (VEGF, IL-8), fibrinolytic parameters (tPA and PAI-1) and effusion size in PPE, and their clinical importance.
Methods
Study Design
This single-center, prospective study intended to assess the clinical importance of angiogenic cytokines, fibrinolytic activity and effusion size in PPE. Ethics approval (CRC-05-11-01) was obtained from the Institutional Review Board of Taipei Medical University (Taipei, Taiwan), and all patients gave written informed consent before entering the study.
Patient Selection
Consecutive patients with pleural effusions (PE) of unknown causes admitted to Taipei Medical University Hospital were eligible for this study, and were included when a diagnosis of PPE was established. Exclusion criteria were as follows: history of invasive procedures directed into the pleural cavity; recent severe trauma, hemorrhage, or stroke; bleeding disorder or anticoagulant therapy; use of streptokinase in the previous 2 years.
Imagings of PE
PE were evaluated and divided into loculated or non-loculated effusions by chest radiography (CXR), chest ultrasonography (US), or thoracic computed tomography (CT) scans as previously described [5]. Patients with loculated effusions were subdivided into uni-loculated and multi-loculated effusion groups by chest US. The patients with multiple loculi of effusions divided by fibrin septa were classified into multi-loculated effusion group, and those who had a single loculated effusion without fibrin septation were classified into uni-loculated effusion group (see Protocol S1) [13].
CXR Scoring
The posteroanterior CXR films were read and scored by two radiologists who were blind to any clinical information to determine (a) the largest linear width of pleural opacity and (b) effusion size CXR score: the estimated overall percentage of pleural shadowing in the hemithorax (see Protocol S2) [14].
Thoracentesis and Pleural Fluid Analysis
With the guidance of chest US, 50 ml of pleural fluid was aspirated immediately or within 24 hours after hospitalization. When PE was multi-loculated, the fluid was aspirated from the largest loculus. Pleural fluid analyses and microbiological studies were performed routinely.
Measurement of Effusion VEGF, IL-8, PAI-1 and tPA
The commercially available enzyme-linked immunosorbent assay kits were used to measure effusion levels of VEGF, IL-8 (R & D System; Minneapolis, MN, USA), tPA and PAI-1 (American Diagnostica; Greenwich, CT, USA) as previously described [5].
Management of PPE
All patients initially received empiric broad-spectrum antibiotics, which were appropriately adjusted later based on the results of microbiological studies and clinical response. PPE were classified as uncomplicated PPE (UPPE) or CPPE. CPPE was defined as a PPE with one of the following criteria: (1) pH<7.2; (2) glucose<60 mg/dl; (3) LDH>1000 U/l; (4) bacteria found on Gram’s stain or culture; (5) frank pus [15], [16]. A 10–14F pigtail tube was inserted into the largest loculus with US guidance to drain the effusion once a CPPE was diagnosed. Clinical response was assessed 24 hours later, and the patients who met all the following criteria: (a) loculated effusion; (b) less than 50% improvement in effusion CXR score after initial drainage; (c) persistent fever (>38°C) or dyspnea (respiratory rate >20/min), were subjected to intrapleural injection with streptokinase (IPSK) 250000 IU once daily for 3 days [14]. After injection, the pigtail tube was clamped for two hours and then opened for free drainage.
Outcome Measures
Treatment response was assessed from day 1 (start of antibiotic treatment) to day 5 by (a) vital signs; (b) complete blood count; (c) CXR; and (d) volume of effusion drained (for CPPE patients). For UPPE patients, those who had improvement in vital signs and pleural opacity on CXR were defined as medical success, whereas those having progressive sepsis and enlarging pleural opacity were re-classified and treated as CPPE group. For CPPE patients, the pigtail tube was removed for those treated with medical success when the drainage was less than 50 ml in the last 24 hours, whereas those who had both (a) ongoing or progressive sepsis syndrome [17] and (b) less than 50% reduction in pleural opacity on CXR beyond 5 days after pigtail drainage were defined as medical failure and subjected to surgical intervention if clinically indicated (see Protocol S3 for definitions of medical success and medical failure) [18].
CXR and pulmonary function testing with spirometry were performed on discharge and 6 months later, respectively. RPT was measured and defined as a lateral pleural thickening of ≥10 mm shown on CXR and confirmed by chest US or CT at the end of 6-month follow-up [19].
Statistical Analysis
Data were expressed as mean ± SD, median (interquartile range or range) or frequency (%), where appropriate. Comparisons of continuous data were made using an unpaired t test or Mann–Whitney U test between two groups, and one-way analysis of variance with post hoc Duncan test or Kruskal-Wallis test with post hoc Dunn’s test among three groups, where appropriate. The optimal sensitivity, specificity and cutoff value of pleural fluid variables for distinguishing UPPE from CPPE were evaluated by the receiver operating characteristics by analyzing the area under the curve (AUC). The correlations between variables were determined by Spearman rank correlation coefficients. Categorical variables between two groups were examined using χ2 method and/or Fisher’s exact test, when appropriate. A two-tailed p value <0.05 was considered to be statistically significant.
Multivariate logistic regression analyses were performed to determine factors independently associated with medical failure, as compared with patients with medical success. Variables found to be significant in the univariate analysis were entered into a binary logistic regression analysis. Results of multivariable analyses are reported as odds ratios with 95% confidence intervals and p-values.
Results
Patient Characteristics
Consecutive 72 patients with PPE were eligible for this study. Eight patients were excluded because of recent stroke in two, recent gastrointestinal bleeding in one and informed consent unavailable in five cases, respectively. Finally, 64 patients were enrolled, including 46 men and 18 women with an age range from 41 to 87 years (mean age, 64 years), and 60 of them completed 6 months of follow-up from January 2008 through December 2010.
Comparisons between UPPE and CPPE
There were 26 patients with UPPE and 38 patients with CPPE. Clinical data (see Table S1), pleural fluid characteristics, angiogenic cytokines and parameters related to fibrinolytic activities in pleural fluids are shown in Table 1. Compared to patients with UPPE, CPPE patients were significantly younger and had significantly higher effusion CXR score on admission. No significant differences between the two groups were found in terms of gender, comorbidities, and duration of illness before treatment. Patients with CPPE had significantly higher levels of effusion VEGF, IL-8, PAI-1 and PAI-1/tPA ratio and lower values of tPA than did UPPE patients. Moreover, compared to UPPE, there was no significant increase in protein concentrations in CPPE.
Table 1. Pleural Effusion Size and Variables between Uncomplicated and Complicated Parapneumonic Effusions.
All Patients | UPPE | CPPE | ||
(n = 64) | (n = 26) | (n = 38) | p value† | |
Effusion CXR score, %, mean ± SD | 48±14 | 38±8 | 55±14 | <0.001 |
pH value | 7.30 | 7.39 | 7.18 | <0.001 |
(7.19–7.41, n = 60) | (7.37–7.41, n = 26) | (6.92–7.39, n = 34) | ||
Glucose, mg/dl | 108 | 123 | 69 | <0.001 |
(59–147) | (109–151) | (35–120) | ||
Protein, g/l | 4.1 | 3.7 | 4.2 | 0.2 |
(3.5–4.8) | (3.5–4.7) | (3.9–4.8) | ||
LDH, IU/dl | 462 | 129 | 1622 | <0.001 |
(160–1808) | (97–258) | (566–3332) | ||
Leukocyte count, cells/µl | 2805 | 1200 | 9660 | 0.003 |
(520–11140) | (363–3410) | (1750–14175) | ||
PAI-1, ng/ml | 99.9 | 53.0 | 104.0 | <0.001 |
(52.8–114.5) | (16.7–104.1) | (69.2–198.0) | ||
tPA, ng/ml | 14.5 | 17.6 | 8.3 | <0.001 |
(5.8–20.0) | (14.0–21.0) | (3.3–17.0) | ||
PAI-1/tPA ratio | 5.7 | 2.4 | 14.8 | <0.001 |
(3.0–17.7) | (1.1–5.1) | (5.5–29.0) | ||
IL-8, pg/ml | 5377 | 175 | 6184 | <0.001 |
(194–6281) | (61–537) | (5906–6572) | ||
VEGF, pg/ml | 2928 | 477 | 5255 | <0.001 |
(589–5266) | (185–1099) | (4792–5601) |
Definition of abbreviations: UPPE = uncomplicated parapneumonic effusion; CPPE = complicated parapneumonic effusion; Effusion CXR score = portion of hemithorax opacified by pleural effusion on posteroanterior chest radiograph; LDH = lactate dehydrogenase; PAI-1 = plasminogen activator inhibitor-1; tPA = tissue type plasminogen activator; IL-8 = interleukin-8; VEGF = vascular endothelial growth factor.
Data are presented as median (IQR) unless specified.
For comparisons between UPPE and CPPE groups.
Comparisons between Non-loculated, Uni-loculated and Multi-loculated PPE
All 26 patients with UPPE and four with CPPE had non-loculated effusion (non-loculated group, n = 30). The remaining 34 CPPE patients had loculated effusions and were further divided into uni-loculated (n = 12) and multi-loculated (n = 22) groups (Table 2). Compared to patients with non-loculated and uni-loculated PPE groups, multi-loculated PPE patients had significantly higher effusion CXR score, lower levels of glucose and tPA, and higher values of VEGF, IL-8 and PAI-1/tPA ratio in the pleural fluids. Additionally, patients with uni-loculated PPE had significantly higher effusion CXR score, lower value of pH, and higher levels of LDH, VEGF, IL-8, PAI-1 and PAI-1/tPA ratio than did those with non-loculated PPE. However, there were no significant differences in protein concentrations among the three groups.
Table 2. Pleural Effusion Size and Variables between Non-, Uni- and Multi-loculated Parapneumonic Effusions (PPE).
Non-loculated PPE† | Uni-loculated PPE | Multi-loculated PPE | ||
(n = 30) | (n = 12) | (n = 22) | p value | |
Effusion CXR score, %, mean ± SD | 39±9 | 48±16* | 61±10** , # | <0.001 |
pH value | 7.40 | 7.12*** | 7.15*** | <0.001 |
(7.37–7.41) | (6.92–7.19) | (6.80–7.30, n = 18) | ||
Glucose, mg/dl | 123 | 111 | 57*** , ## | <0.001 |
(108–163) | (60–157) | (27–90) | ||
Protein, g/l | 3.7 | 4.4 | 4.2 | 0.24 |
(3.5–4.7) | (2.0–5.0) | (4.0–4.8) | ||
LDH, IU/dl | 155 | 636** | 1677*** | <0.001 |
(97–320) | (300–2263) | (760–3332) | ||
Leukocyte count, cells/µl | 1146 | 5155* | 10080*** | 0.004 |
(356–3410) | (2060–13221) | (1750–19710) | ||
PAI-1, ng/ml | 53.0 | 108.1** | 104.0*** | <0.001 |
(16.7–104.1) | (69.2–198.0) | (92.4–212.0) | ||
tPA, ng/ml | 15.0 | 15.1 | 8.3* , # | 0.03 |
(8.7–21.0) | (4.8–25.9) | (3.2–16.7) | ||
PAI-1/tPA ratio | 3.5 | 11.4** | 16.1*** , # | <0.001 |
(1.1–5.9) | (4.4–21.3) | (10.1–32.3) | ||
IL-8, pg/ml | 193 | 5905*** | 6484*** , # | <0.001 |
(61–670) | (4586–6348) | (6009–6773) | ||
VEGF, pg/ml | 530 | 2928*** | 5384*** , ### | <0.001 |
(185–1645) | (1861–4887) | (5255–5601) |
See Table 1 for definition of the abbreviations.
Data are presented as the median (IQR) unless specified.
Non-loculated PPE group includes 26 UPPE and 4 CPPE patients.
p<0.05,
p<0.01 and
:p<0.001 versus non-loculated PPE group;
p<0.05,
p<0.01 and
:p<0.001 versus uni-loculated PPE group.
Optimal Sensitivity, Specificity and Cutoff Value of Pleural Effusion Size and Variables for the Identification of CPPE
Among the biochemical parameters, LDH>1019 IU/dl had best sensitivity (84%) and specificity (100%) to identify CPPE, with AUC of 0.97 (Table 3). In contrast, pH value, glucose and leukocyte count had relatively lower sensitivity in differentiating CPPE from UPPE.
Table 3. Optimal Sensitivity, Specificity and Cutoff Value of Pleural Effusion Size and Variables for the Diagnosis of Complicated Parapneumonic Effusions.
Cutoff | Sensitivity, % | Specificity, % | AUC | 95% CI | |
Effusion CXR score | >47% | 74 | 92 | 0.85 | 0.73–0.92 |
pH value | ≤7.19 | 75 | 100 | 0.87 | 0.76–0.94 |
Glucose | ≤57 mg/dl | 68 | 100 | 0.77 | 0.65–0.87 |
LDH | >1019 IU/dl | 84 | 100 | 0.97 | 0.89–0.99 |
Leukocyte count | >6000 cells/µl | 58 | 92 | 0.77 | 0.65–0.87 |
PAI-1 | >53 ng/ml | 90 | 62 | 0.78 | 0.66–0.88 |
tPA | ≤12.7 ng/ml | 63 | 85 | 0.75 | 0.62–0.85 |
PAI-1/tPA ratio | >5.9 | 74 | 92 | 0.90 | 0.80–0.96 |
IL-8 | >1937 pg/ml | 95 | 100 | 0.99 | 0.93–1.00 |
VEGF | >1975 pg/ml | 90 | 100 | 0.99 | 0.92–1.00 |
See Table 1 for definition of the abbreviations. AUC = area under the curve; CI = confidence interval.
Among the pleural fluid variables, IL-8 at the cutoff level >1937 pg/ml had highest sensitivity and specificity to discriminate between UPPE and CPPE (AUC, 0.99; sensitivity, 95%; specificity, 100%), followed by VEGF>1975 pg/m (AUC, 0.99; sensitivity, 90%; specificity, 100%), PAI-1/tPA ratio5.9 (AUC, 0.90; sensitivity, 74%; specificity, 92%) and effusion CXR score >47% (AUC, 0.85; sensitivity, 74%; specificity, 92%) (Table 3).
Correlations among Effusion Angiogenic Cytokines, Fibrinolytic Parameters, Pleural Fluid Characteristics and Effusion CXR Score
As shown in Table 4, the effusion levels of IL-8 and VEGF were positively correlated with those of LDH, leukocyte count, and PAI-1/tPA ratio, and negatively correlated with those of pH and glucose in both UPPE and CPPE. In addition, VEGF correlated positively with PAI-1 and negatively with tPA in CPPE.
Table 4. Correlation among Angiogenic Cytokines, Fibrinolytic Parameters, Pleural Fluid Characteristics and Effusion CXR scores.
pH | Glucose | LDH | Leukocyte count | PAI-1 | tPA | PAI-1/tPA ratio | Effusion CXR score | |
UPPE (n = 26) | ||||||||
IL-8 | −0.65‡ | −0.47† | 0.79‡ | 0.42† | 0.31 | − 0.21 | 0.42† | 0.09 |
VEGF | −0.41* | −0.35* | 0.57‡ | 0.36* | 0.27 | −0.24 | 0.49‡ | 0.64‡ |
Effusion CXR score | −0.25 | 0.25 | −0.08 | 0.10 | 0.51† | 0.05 | 0.44* | − |
CPPE (n = 38) | ||||||||
IL-8 | −0.53‡ | −0.37† | 0.48‡ | 0.52‡ | 0.24 | −0.36† | 0.50‡ | 0.32 |
VEGF | −0.57‡ | −0.64‡ | 0.65‡ | 0.46† | 0.49‡ | −0.43† | 0.59‡ | 0.71‡ |
Effusion CXR score | −0.32 | −0.26 | 0.29 | −0.20 | 0.26 | −0.44† | 0.51‡ | − |
See Table 1 for definition of the abbreviations.
Correlation is statistically significant at the level of 0.05.
Correlation is statistically significant at the level of 0.01.
Correlation is statistically significant at the level of 0.001.
The effusion CXR score had significant positive correlation with the effusion levels of VEGF and PAI-1/tPA ratio in both UPPE and CPPE groups (Table 4) as well as in all patients (VEGF, r = 0.79, p<0.001; PAI-1/tPA ratio, r = 0.59, p<0.001, respectively). However, there was no significant correlation between the effusion size and the effusion levels of IL-8.
Managements of PPE and Treatment Response
All 38 CPPE patients required effusion drainage in addition to antibiotic treatments. After initial drainage for 24 hours, five uni-loculated and 18 multi-loculated CPPE patients who had ongoing fever or dyspnea and less than 50% improvement in effusion CXR score, underwent IPSK therapy. However, 10 multi-loculated CPPE patients who failed to improve after IPSK therapy and had progressive sepsis and insignificant radiological improvement beyond 5 days of pleural drainage, were classified as medical failure group and subjected to video-assisted thoracoscopic surgery (VATS) decortication. In contrast, the remaining 28 CPPE patients who showed remarkable improvement after medical treatment (effusion drainage with or without IPSK) were designated as medical success group. In addition, all 26 UPPE patients who responded well to antibiotic treatment alone were included into medical success group as well (Table 5).
Table 5. Pleural Effusion Status and Variables between Medical Treatment Success and Medical Treatment Failure Patients.
Medical success | Medical failure | ||
(n = 54) | (n = 10) | p value | |
Effusion status | |||
Effusion CXR score, %, mean ± SD | 45±13 | 66±6 | <0.001 |
Multi-loculation, n (%) | 12 (22) | 10 (100) | <0.001 |
Pleural fluid | |||
pH value | 7.23 (7.15–7.41, n = 53) | 7.14 (6.80–7.3, n = 7) | 0.16 |
Glucose, mg/dl | 116 (77–157) | 51 (27–90) | <0.001 |
LDH, IU/dl | 316 (129–1618) | 2219 (1519–3332) | <0.001 |
Leukocyte count, cells/µl | 2080 (460–8230) | 10080 (1450–185000) | 0.09 |
PAI-1, ng/ml | 104.0 (80.8–198.0) | 102.5 (52.6–117.0) | 0.46 |
tPA, ng/ml | 11.5 (4.2–17.4) | 8.2 (3.2–17.0) | 0.16 |
PAI-1/tPA ratio | 13.6 (4.5–26.9) | 13.1 (5.5–17.1) | 0.10 |
IL-8, pg/ml | 6141 (4845–6349) | 6349 (6122–6773) | <0.001 |
VEGF, pg/ml | 3872 (2019–5271) | 5503 (5384–5601) | <0.001 |
See Table 1 for definition of the abbreviations. Data are presented as the median (IQR) unless specified.
Comparisons between Medical Success and Medical Failure Groups
As shown in Table 5, the effusion CXR score on admission and the occurrence of multi-loculated effusion were significantly higher in medical failure group than in medical success group. Moreover, medical failure patients had significantly higher effusion levels of LDH, IL-8 and VEGF, and lower level of glucose than did those with medical success. However, the effusion values of PAI-1, tPA and PAI-1/tPA ratio showed no significant differences between the two groups.
Multivariate Logistic Regression Analysis
Furthermore, multivariate logistic regression analysis was used to identify the independent risk factor for medical failure (Table 6). Variables of significance in univariate analysis were included and VEGF and effusion CXR score were treated separately because they were mutually correlated. As a result, only higher effusion VEGF level or greater effusion CXR score was an independent risk factor for medical failure.
Table 6. Multivariate Logistic Regression Analyses of Factors Associated with Medical Treatment Failure.
VEGF excluded | Effusion CXR score excluded | |||||
Odds ratio | 95% CI | p value | Odds ratio | 95% CI | p value | |
Effusion status | ||||||
Effusion CXR score, % | 1.26 | 1.06–1.51 | 0.01 | |||
Multi-loculation | 1.00 | 0.99–1.00 | 0.99 | 1.00 | 0.99–1.01 | 0.99 |
Pleural fluid | ||||||
Glucose, mg/dl | 1.01 | 0.98–1.04 | 0.52 | 0.99 | 0.97–1.03 | 0.76 |
LDH, IU/dl | 1.00 | 0.99–1.00 | 0.87 | 1.00 | 0.99–1.00 | 0.99 |
IL-8, pg/ml | 1.00 | 0.99–1.00 | 0.93 | 1.00 | 0.99–1.00 | 1.00 |
VEGF, pg/ml | 1.01 | 1.00–1.02 | 0.02 |
See Table 1 for definition of the abbreviations. CI = confidence interval.
Follow-up Period
All 64 patients were successfully treated and discharged uneventfully. Sixty patients were followed up regularly for 6 months. Either assessed on discharge or at 6-month follow-up, the effusion CXR score and effusion thickness were significantly greater, and the forced vital capacity (FVC) were significantly lower in CPPE patients than in UPPE patients (see Table S2).
Comparisons between PPE Patients with and without RPT
RPT was observed in 10 of 60 (16.7%) patients who completed 6-month follow-up (Table 7). Most of them (80%) had multi-loculation of pleural effusions initially. The effusion CXR score on admission and the effusion levels of PAI-1, PAI-1/tPA ratio and VEGF, but not IL-8, were significantly higher, and the FVC was significantly lower in the patients with RPT than in those without.
Table 7. Pleural Fluid Variables and Pulmonary Function in Patients With or Without Development of Residual Pleural Thickening (RPT).
RPT (−) | RPT (+) | ||
(n = 50) | (n = 10) | p value | |
Effusion status | |||
Effusion CXR score, %, mean ± SD | 46±14 | 61±11 | 0.005 |
Loculation, n (%) | 23 (46) | 10 (100) | 0.001 |
Multi-loculation, n (%) | 14 (28) | 8 (80) | 0.002 |
Pleural fluid | |||
PAI-1, ng/ml | 99.9 (53.0–110.7) | 212.0 (92.4–258.0) | 0.04 |
tPA, ng/ml | 15.8 (4.8–21.0) | 10.4 (8.2–12.7) | 0.08 |
PAI-1/tPA ratio | 5.2 (2.4–14.8) | 17.1 (14.1–24.8) | 0.006 |
IL-8, pg/ml | 3262 (193–6348) | 6122 (5906–6213) | 0.06 |
VEGF, pg/ml | 1975 (530–5186) | 5384 (5271–5601) | <0.001 |
FVC, % predicted | |||
At 6 months | 79 (78–80) | 75 (74–76) | <0.001 |
See Table 1 for definition of the abbreviations. RPT = residual pleural thickening ≥10 mm shown on CXR at the end of 6-month follow-up; FVC = forced vital capacity. Data are presented as median (IQR) unless specified.
Discussion
Our results demonstrated that effusion size reflected by radiological scores and effusion levels of VEGF, IL-8 and PAI-1/tPA ratio were significantly higher in CPPE than in UPPE, and significantly higher in multi-loculated PPE than in non-loculated and uni-loculated PPE, respectively. VEGF (cutoff value, 1975 pg/ml) and IL-8 (cutoff value, 1937 pg/ml) seemed best to discriminate between UPPE and CPPE. VEGF, IL-8 and effusion size correlated positively with PAI-1/tPA ratio, and VEGF, but not IL-8, had significant positive correlation with effusion size in all patients and in both UPPE and CPPE groups. Patients with higher effusion VEGF level or greater effusion size were prone to have medical treatment failure. Ten patients with RPT had larger effusion size and higher levels of VEGF and PAI-1/tPA ratio than did those without. To our knowledge, this is the first study to demonstrate that effusion angiogenic cytokines correlated significantly with pleural fibrinolytic activity, and that the elevated VEGF level or effusion size was associated with poor outcome in PPE.
Previous studies showed that the level of VEGF was consistently higher in exudative than in transudative pleural effusions [1], [20], [21], and empyema fluids contained significantly higher levels of VEGF than did UPPE [22]. VEGF induces extravascular leakage of plasma proteins and is important in the modulation of extracellular matrix proteolysis by regulating the expression of tPA and PAI-1 in endothelial cells [9]. Furthermore, VEGF has been reported to increase PAI-1 expression in keloid fibroblasts and to contribute to dermal fibrosis [23]. Another angiogenic factor IL-8 has been shown to increase vascular permeability and fluid exudation in endotoxin- induced pleurisy in vivo [24], to correlated positively with PAI-1 and negatively with tPA in exudative PE [25], and might hold an important role in successful pleurodesis [26]. All these findings suggest that angiogenic cytokines may elicit exudative effusions and modulate fibrinolytic activity in pleural space by altering the balance of PAI-1 and tPA.
In agreement with previous report by Marchi et al [27], the present study showed that effusion levels of VEGF and IL-8 were significantly higher in CPPE than in UPPE and were positively correlated with LDH values. However, Marchi et at failed to demonstrate the superiority of effusion VEGF and IL in distinguishing CPPE from UPPE as compared with effusion glucose and LDH. At variance with the results of the previous study [27], our results indicated that IL-8>1937 pg/ml or VEGF>1975 pg/ml had a better sensitivity and specificity to identify CPPE than did convention biochemical markers. The discrepancy might be due to the different definition of CPPE used in the present study [15], [16], which seemed more stringent than that of the previous report [27]. The usefulness of effusion angiogenic cytokines in determining CPPE may be limited in usual clinical practice, since measuring cytokines is time consuming. Nevertheless, our results indicated that VEGF and IL-8 might play an important role in the evolution of UPPE to CPPE.
Furthermore, we investigated the relationship between angiogenic cytokines and fibrinolytic parameters and demonstrated that the levels of VEGF and IL-8 positively correlated with the values of PAI-1/tPA ratio in both UPPE and CPPE, though only VEGF levels correlated positively with PAI-1 values and negatively with tPA values in CPPE. In addition, the levels of VEGF, IL-8, PAI-1 and PAI-1/tPA ratio were significantly higher and the values of tPA were significantly lower in multi-loculated than in non-loculated and uni-loculated PPE. These findings are in keeping with the results of the previous in vitro study [9], and raise the possibility that angiogenic cytokines, particularly VEGF, may attenuate pleural fibrinolytic activity by disrupting the balance of PAI-1 and tPA elaborated by endothelial and/or mesothelial cells in PPE. Moreover, our results showed that effusion CXR scores positively correlated with the levels of VEGF and PAI-1/tPA ratio, but not IL-8, in both UPPE and CPPE. These findings suggest that the effusion size on chest radiograph may indirectly reflect both the angiogenic and fibrinolytic activities of the underlying pleural fluids and that the increase in VEGF is associated with the decrease in fibrinolytic activity and subsequent fibrin deposition and fluid loculation.
The predictors affecting the outcome of medical treatment in patients with PPE remain elusive. Two previous studies reported that loculation and effusion size were not related to clinical outcome of CPPE patients receiving medical therapy [28], [29]. On the contrary, other reports suggested that effusion drainage might be failed when effusion size was >40% of the hemithorax [30], and that pleural fluid loculation was a predicting factor for poor outcome of tube drainage for CPPE [4]. In our study, the results of multivariate analysis demonstrated that larger effusion size or higher effusion level of VEGF was the independent risk factor for failure of medical treatment, suggesting that the enhanced vascular permeability with increased pleural fluid exudation might impair medical therapy in PPE. Moreover, at variance with the previous report [4], our study indicated that the presence of multi-loculation did not increase the risk of treatment failure. The discrepancy between our and previous studies may be explained in part by that all CPPE patients in the present study received chest US-guided drainage and streptokinase was administered for the patients with loculated effusions who failed to improve after the initial drainage, which may minimize the effect of effusion loculation on the treatment outcome.
In this study, ten patients who developed RPT at the end of follow-up presented initially with loculated CPPE, and had greater effusion size and higher effusion levels of VEGF, PAI-1 and PAI-1/tPA ratio. A previous in?vivo study demonstrated that angiogenesis was required in the development of pleural fibrosis [10], [11]. A recent study showed that RPT was related to the pleural fluid VEGF levels in patients with PPE [31]. In agreement with the previous reports [10], [31], our study indicated that the increased angiogenic activity in the pleural fluid might contribute to subsequent development of pleural fibrosis in PPE. Furthermore, our results signified the possible role of VEGF-related impaired fibrinolytic activity in the formation of RPT in PPE and that the patients with RPT had a significantly lower FVC than did those without.
The benefit of intrapleural fibrinolytic agents in treating CPPE remains controversial. The largest randomized trial to date on the use of intrapleural streptokinase for treating CPPE and empyema (MIST1) could not demonstrate the efficacy of this treatment modality [32]. However, a meta-analysis of seven randomized controlled trials, including the MIST1, concluded that intrapleural fibrinolytic therapy (streptokinase or urokinase) conferred significant benefit in reducing the requirement for surgical intervention in patients who had either loculation or empyema [33]. Furthermore, a recently published randomized trial (MIST2) showed that a combination of intrapleural tPA and DNase significantly increased the drainage of pleural fluid and reduced the need of surgical referral and the length of hospital stay [34], which might pertain to our findings of significantly lower tPA levels in multi-loculated PPE and suggested a potential benefit of fibrinolytics in the management of loculated PPE.
In conclusion, the present study indicated that the increased levels of angiogenic cytokines were associated with decreased fibrinolytic activity in PPE. Higher levels of VEGF correlate with larger effusion size and PAI-1/tPA imbalance, contribute to fluid loculation and residual fibrosis, and appear to be a factor independently associated with medical treatment failure. Further large-scale studies are warranted to investigate the clinical usefulness of effusion VEGF level or effusion size score to predict treatment outcome in PPE patients, and more in vitro and in vivo experiments are required to clarify the causal relationships between effusion angiogenic cytokines and the genesis of pleural fibrins and fibrosis.
Supporting Information
Funding Statement
This study was supported by a grant from the National Science Council of Taiwan (NSC98-2314-B-038-022-MY2). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Mohammed KA, Nasreen N, Hardwick J, Logie CS, Patterson CE, et al. (2001) Bacterial induction of pleural mesothelial monolayer barrier dysfunction. Am J Physiol Lung Cell Mol Physiol 281: L119–125. [DOI] [PubMed] [Google Scholar]
- 2. Broaddus VC, Boylan AM, Hoeffel JM, Kim KJ, Sadick M, et al. (1994) Neutralization of IL-8 inhibits neutrophil influx in a rabbit model of endotoxin- induced pleurisy. J Immunol 152: 2960–2967. [PubMed] [Google Scholar]
- 3.Shetty S, John J, Idell S (2009) Pleural fibrosis. In: Light RW, Lee YCG, editors. Textbook of Pleural Diseases. London: Hodder Arnold. 101–112.
- 4. Huang HC, Chang HY, Chen CW, Lee CH, Hsiue TR (1999) Predicting factors for outcome of tube thoracostomy in complicated parapneumonic effusion or empyema. Chest 115: 751–756. [DOI] [PubMed] [Google Scholar]
- 5. Chung CL, Chen CH, Sheu JR, Chen YC, Chang SC (2005) Proinflammatory cytokines, transforming growth factor-β1, and fibrinolytic enzymes in loculated and free-flowing pleural exudates. Chest 128: 690–697. [DOI] [PubMed] [Google Scholar]
- 6.Bithell TC (1993) Blood coagulation. In: Lee GR, Bithell TC, Foerster J, Athens JW, Lukens JN, editors. Wintrobe’s Clinical Hematology. Philadelphia, PA: Lea & Febiger. 566–615.
- 7. Idell S, Girard W, Koenig KB, McLarty J, Fair DS (1991) Abnormalities of pathways of fibrin turnover in the human pleural space. Am Rev Respir Dis 144: 187–194. [DOI] [PubMed] [Google Scholar]
- 8. Idell S, Mazar AP, Bitterman P, Mohla S, Harabin AL (2001) Fibrin turnover in lung inflammation and neoplasia. Am J Respir Crit Care Med 163: 578–584. [DOI] [PubMed] [Google Scholar]
- 9. Pepper MS, Ferrara N, Orci L, Montesano R (1991) Vascular endothelial growth factor (VEGF) induces plasminogen activators and plasminogen activator inhibitor-1 in microvascular endothelial cells. Biochem Biophys Res Commun 181: 902–906. [DOI] [PubMed] [Google Scholar]
- 10. Guo YB, Kalomenidis I, Hawthorne M, Parman KS, Lane KB, et al. (2005) Pleurodesis is inhibited by anti-vascular endothelial growth factor antibody. Chest 128: 1790–1797. [DOI] [PubMed] [Google Scholar]
- 11. Teixeira LR, Vargas FS, Acencio MM, Ribeiro SC, Sales RK, et al. (2011) Blockage of vascular endothelial growth factor (VEGF) reduces experimental pleurodesis. Lung Cancer 74: 392–395. [DOI] [PubMed] [Google Scholar]
- 12. Ribeiro SC, Vargas FS, Antonangelo L, Marchi E, Genofre EH, et al. (2009) Monoclonoal anti-vascular endothelial growth factor antibody reduces fluid volume in an experimental model of inflammatory pleural effusion. Respirology 14: 1188–1193. [DOI] [PubMed] [Google Scholar]
- 13. Lomas DJ, Padley SG, Flower CD (1993) The sonographic appearances of pleural fluid. Br J Radiol 66: 619–624. [DOI] [PubMed] [Google Scholar]
- 14. Chung CL, Chen CH, Yeh CY, Sheu JR, Chang SC (2008) Early effective drainage in the treatment of loculated tuberculous pleurisy. Eur Respir J 31: 1261–1267. [DOI] [PubMed] [Google Scholar]
- 15. Colice GL, Curtis A, Deslauriers J, Heffner J, Light RW, et al. (2000) Medical and surgical treatment of parapneumonic effusions: an evidence-based guideline. Chest 118: 1158–1171. [DOI] [PubMed] [Google Scholar]
- 16. Davies CW, Gleeson FV, Davies RJ (2003) BTS guidelines for the management of pleural infection. Thorax 58: ii18–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein AM, et al. (1992) Definitions for epsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 101: 1644–1655. [DOI] [PubMed] [Google Scholar]
- 18. Davies HE, Davies RJ, Davies CW (2010) Management of pleural infection in adults: British Thoracic Society pleural disease guideline 2010. Thorax 65: ii41–53. [DOI] [PubMed] [Google Scholar]
- 19. Jiménez Castro D, Díaz G, Pérez-Rodríguez E, Light RW (2003) Prognostic features of residual pleural thickening in parapneumonic pleural effusions. Eur Respir J 21: 952–955. [DOI] [PubMed] [Google Scholar]
- 20. Cheng D, Rodriguez RM, Perkett EA, Rogers J, Bienvenu G, et al. (1999) Vascular endothelial growth factor in pleural fluid. Chest 116: 760–765. [DOI] [PubMed] [Google Scholar]
- 21. Economidou F, Antoniou KM, Tzanakis N, Sfiridaki K, Siafakas NM, et al. (2008) Angiogenic molecule Tie-2 and VEGF in the pathogenesis of pleural effusions. Respir Med 102: 774–779. [DOI] [PubMed] [Google Scholar]
- 22. Thickett DR, Armstrong L, Millar AB (1999) Vascular endothelial growth factor (VEGF) in inflammatory and malignant pleural effusions. Thorax 54: 707–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Wu Y, Zhang Q, Ann DK, Akhondzadeh A, Duong HS, et al. (2004) Increased vascular endothelial growth factor may account for elevated level of plasminogen activator inhibitor-1 via activating ERK1/2 in keloid fibroblasts. Am J Physiol Cell Physiol 286: C905–912. [DOI] [PubMed] [Google Scholar]
- 24. Fukumoto T, Matsukawa A, Yoshimura T, Edamitsu S, Ohkawara S, et al. (1998) IL-8 is an essential mediator of the increased delayed-phase vascular permeability in LPS-induced rabbit pleurisy. J Leukoc Biol 63: 584–590. [DOI] [PubMed] [Google Scholar]
- 25. Alemán C, Alegre J, Monasterio J, Segura RM, Armadans L, et al. (2003) Association between inflammatory mediators and the fibrinolysis system in infectious pleural effusions. Clin Sci 105: 601–607. [DOI] [PubMed] [Google Scholar]
- 26. Nasreen N, Hartman DL, Mohammed KA, Antony VB (1998) Talc-induced expression of C-C and C-X-C chemokines and intercellular adhesion molecule-1 in mesothelial cells. Am J Respir Crit Care Med 158: 971–978. [DOI] [PubMed] [Google Scholar]
- 27. Marchi E, Vargas FS, Acencio MM, Sigrist RM, Biscaro MD, et al. (2012) Proinflammatory and antiinflammatory cytokine levels in complicated and noncomplicated parapneumonic pleural effusions. Chest 141: 183–189. [DOI] [PubMed] [Google Scholar]
- 28. LeMense GP, Strange C, Sahn SA (1995) Empyema thoracis: therapeutic management and outcome. Chest 107: 1532–1537. [DOI] [PubMed] [Google Scholar]
- 29. Davies CW, Kearney SE, Gleeson FV, Davies RJ (1999) Predictors of outcome and long-term survival in patients with pleural infection. Am J Respir Crit Care Med 160: 1682–1687. [DOI] [PubMed] [Google Scholar]
- 30. Ferguson AD, Prescott RJ, Selkon JB, Watson D, Swinburn CR (1996) The clinical course and management of thoracic empyema. Q J Med 89: 285–289. [DOI] [PubMed] [Google Scholar]
- 31. Papaioannou AI, Kostikas K, Tsopa P, Kiropoulos T, Tsilioni I, et al. (2010) Residual pleural thickening is related to vascular endothelial growth factor levels in parapneumonic pleural effusions. Respiration 80: 472–479. [DOI] [PubMed] [Google Scholar]
- 32. Maskell NA, Davies CW, Nunn AJ, Hedley EL, Gleeson FV, et al. (2005) U.K. Controlled trial of intrapleural streptokinase for pleural infection. N Engl J Med 352: 865–874. [DOI] [PubMed] [Google Scholar]
- 33. Cameron RJ, Davies HRHR (2008) Intra-pleural fibrinolytic therapy versus conservative management in the treatment of adult parapneumonic effusions and empyema. Cochrane Database Syst Rev (2): CD002312. [DOI] [PubMed] [Google Scholar]
- 34. Rahman NM, Maskell NA, West A, Teoh R, Arnold A, et al. (2011) Intrapleural use of tissue plasminogen activator and DNase in pleural infection. N Engl J Med 365: 518–526. [DOI] [PubMed] [Google Scholar]
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