scholarly journals Diagnostic Value of LDH and its Isoenzyme in Pleural Effusion

1985 ◽  
Vol 32 (4) ◽  
pp. 259-265
Author(s):  
Sung Koo Han
2015 ◽  
Vol 109 (9) ◽  
pp. 1188-1192 ◽  
Author(s):  
Zhen Wang ◽  
Li-Li Xu ◽  
Yan-Bing Wu ◽  
Xiao-Juan Wang ◽  
Yuan Yang ◽  
...  

2020 ◽  
Vol 7 (47) ◽  
pp. 2783-2786
Author(s):  
Vengada Krishnaraj S.P. ◽  
Gayathri S. Mohan ◽  
Vinod Kumar V ◽  
Sridhar R

BACKGROUND The diagnostic yield of thoracoscopy is 95 %, of pleural fluid cytology it is 62 % and of closed pleural biopsy is 44 %, in malignant effusion. We wanted to study the diagnostic utility of flexible thoracoscopy in undiagnosed exudative pleural effusion and compare the thoracoscopy findings with the histopathology results. METHODS The study was conducted in the Department of Respiratory Medicine, Government Stanley Medical College, Chennai, from January 2019 to January 2020. 40 patients were enrolled in this longitudinal observational study with moderate to massive effusion and were evaluated with pleural fluid aspiration and sent for cytology, protein sugar analysis, total count, and ADA. Those cases which are exudative pleural effusions, with ADA value of less than 40 IU / L were subjected to thoracoscopy after being evaluated for fitness for thoracoscopy with complete blood count, bleeding time, clotting time, sputum for AFB, ECG, pulse oximetry, cardiac evaluation and CT chest. RESULTS Thoracoscopy was done in 40 enrolled patients. In this study, biopsy was taken from the parietal pleura in all the cases. Of these 40 cases, 30 were male and 10 were female, that is 75 % males and 25 % females. The mean age of the study population was 43 ± 14.9. Patient with the lowest age in this study group was 18 years and highest was 71 years. 16 cases (40 %) presented with left sided pleural effusion. 24 cases (60 %) presented with right sided pleural effusion. 30 cases presented with massive effusion, and 10 cases with moderate effusion. Of the 40 cases, 27 cases presented with straw coloured pleural effusion. 13 cases were haemorrhagic effusion. Histopathologic examination showed 11 cases as malignant and 29 cases as non-malignant out of which 18 cases were of tuberculosis aetiology. Thoracoscopy revealed adhesions in 13 cases and mass lesion in 4 cases. Of the 4 mass lesions 3 came as malignant, normal pleura in 11 cases, 10 were non-malignant and 1 was malignant. Nodules were seen in 12 cases of which 7 came as malignant. Straw coloured effusion was seen in 27 cases, of which 2 were malignant. CONCLUSIONS The most important indication for thoracoscopy is exudative undiagnosed pleural effusion. The overall diagnostic yield in pleural fluid cytology is 62 % and blind pleural biopsy is 44 %. The diagnostic yield of thoracoscopy varies from 60 % to 97 % in various studies, whereas, in our study, it is 72.5 %. Visualization of the visceral and parietal pleura is another advantage, so that we can take biopsy from the abnormal areas. KEYWORDS Flexible Thoracoscopy, Undiagnosed Exudative Pleural Effusion


2021 ◽  
Author(s):  
Jianhong Yu ◽  
Qirui Cai

Abstract Objective This study aimed to establish a predictive model based on the clinical manifestations and laboratory findings in pleural fluid of patients with pleural effusion for the differential diagnosis of malignant pleural effusion (MPE) and tuberculous pleural effusion (TPE). Methods Clinical data and laboratory indices of pleural fluid were collected from patients with malignant pleural effusion and tuberculous pleural effusion in Zigong First People's Hospital between January 2019 and June 2020,and were compared between the two groups. Independent risk factors or Independent protective factors for malignant pleural effusion were investigated using multivariable logistic regression analysis. Receiver operating characteristic curve (ROC) analysis was performed to assess the diagnostic performance of factors with independent effects, and combined diagnostic models were established based on two or more factors with independence effect. ROC curve was used to evaluate the diagnostic ability of each model, and the fit of the eath model was measured using Hosmer-Lemeshow goodness-of-fit test. Results Patients with MPE were older than those with TPE, the rate of fever of patients with MPE was lower than that of patients with TPE, and these differences were statistically significant (p < 0.05). Carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cytokeratin-19 fragment antigen (CYFRA21-1), cancer antigen 125 (CA125), and glucose (GLU) levels in the pleural fluid were higher, but total protein (TP), albumin (ALB) and Adenosine deaminase (ADA) levels in the pleural fluid were lower in MPE patients than in TPE patients, and the differences were statistically significant (P<0.05). In multivariate logistic regression analysis, CEA and NSE levels in the pleural fluid were independent risk factors for MPE, whereas ADA levels in pleural fluid and fever were independent protective factors for MPE. The differential diagnostic value of pleural fluid CEA and pleural fluid ADA for MPE and TPE were higher than that of pleural fluid NSE(p<0.05) and the area under the ROC curve was 0.901, 0.892, and 0.601, respectively. Four different binary logistic diagnostic models were established based on pleural fluid CEA combined with pleural fluid NSE, pleural fluid ADA or ( and ) fever. Among them, the model established with the combination of pleural fluid CEA and pleural fluid ADA (logit (P) = 0.513 + 0.457*CEA-0.101*ADA) had the highest diagnostic value for malignant pleural effusion, and its predictive accuracy was high with an area under the ROC curve of 0.968 [95% confidence interval (0.947, 0.988)]. But the diagnostic efficacy of the diagnostic model could not be improved by adding pleural fluid NSE and fever. Conclusion The model established with the combination of CEA and ADA in the pleural fluid has a high differential diagnostic value for malignant pleural effusion and tuberculous pleural effusion, and NSE in the pleural fluid and fever cannot improve the diagnostic efficacy of the diagnostic model.


Medicine ◽  
2019 ◽  
Vol 98 (14) ◽  
pp. e14979 ◽  
Author(s):  
Ruiyue Gao ◽  
Feng Wang ◽  
Zhen Wang ◽  
Yanbing Wu ◽  
Lili Xu ◽  
...  

2017 ◽  
Vol 12 (3) ◽  
pp. 986-990 ◽  
Author(s):  
Xiaogang Jing ◽  
Fei Wei ◽  
Jing Li ◽  
Lingling Dai ◽  
Xi Wang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document