Cytotoxic Natural Killer Subpopulations as a Prognostic Factor of Malignant Pleural Effusion.

BACKGROUND: Malignant pleural effusion (MPE) is a sign of advanced disease of poor prognosis. As natural killer (NK) cells are involved in the first line of tumour defence, we aimed to validate a new diagnostic and prognostic indicator for MPE based on NK subpopulations of pleural fluid (PF) and peripheral blood (PB). METHODS: NK subpopulations were determined in PF and PB in 71 patients with malignant, paramalignant or benign pleural effusion. The receiver operating characteristic (ROC) curves, Kaplan-Meier, multivariable Cox model and decision trees created with the CHAID (Chi-square automatic interaction detector) methodology were employed. RESULTS: We demonstrated that the PF/PB ratios of the CD56 bright CD16- and CD56 dim CD16- NK subpopulations were higher (p = 0.013 and p = 0.003, respectively) in MPEs and paramalignant pleural effusions (PPEs) than in benign ones, with an AUC of 0.757 and 0.741, respectively. The PF/PB ratio of CD16+ NK and CD57+ NK obtained a higher hazard ratio (HR) in the crude Cox's regression analysis. In the adjusted Cox's regression analysis, the PF/PB ratio of CD16+ NK gave the highest HR (HR 6.1 [1.76-21.1]) (p = 0.004). In the decision tree created for the MPE prognosis, we observed that the main predictor variable among the studied clinical, radiological, and analytical variables was lung mass, and that 92.9% of the patients who survived had a PF/PB ratio of the CD56 dim CD16+ NK subpopulation ≤ 0.43. CONCLUSIONS: Our data suggest that both the PF/PB ratios of cytotoxic subpopulations CD57+ NK and CD16+ NK are useful as a prognostic factor of MPE. Other subpopulations (CD56 bright CD16- and CD56 dim CD16- NK) could help to diagnose MPE.

Predicting Malignant and Paramalignant Pleural Effusions by Combining Clinical, Radiological and Pleural Fluid Analytical Parameters.

BACKGROUND: The usefulness of clinical, radiological and pleural fluid analytical parameters for diagnosing malignant and paramalignant pleural effusion is not clearly stated. Hence this study aimed to identify possible predictor variables of diagnosing malignancy in pleural effusion of unknown aetiology. METHODS: Clinical, radiological and pleural fluid analytical parameters were obtained from consecutive patients who had suffered pleural effusion of unknown aetiology. They were classified into three groups according to their final diagnosis: malignant, paramalignant and benign pleural effusion. The CHAID (Chi-square automatic interaction detector) methodology was used to estimate the implication of the clinical, radiological and analytical variables in daily practice through decision trees. RESULTS: Of 71 patients, malignant (n = 31), paramalignant (n = 15) and benign (n = 25), smoking habit, dyspnoea, weight loss, radiological characteristics (mass, node, adenopathies and pleural thickening) and pleural fluid analytical parameters (pH and glucose) distinguished malignant and paramalignant pleural effusions (all with a p < 0.05). Decision tree 1 classified 77.8% of malignant and paramalignant pleural effusions in step 2. Decision tree 2 classified 83.3% of malignant pleural effusions in step 2, 73.3% of paramalignant pleural effusions and 91.7% of benign ones. CONCLUSIONS: The data herein suggest that the identified predictor values applied to tree diagrams, which required no extraordinary measures, have a higher rate of correct identification of malignant, paramalignant and benign effusions when compared to techniques available today and proved most useful for usual clinical practice. Future studies are still needed to further improve the classification of patients.

[Influence of Clinical Practice Guidelines on the Diagnosis and Treatment of Idiopathic Pulmonary Fibrosis. Data from the Registry of the Spanish Society of Pulmonology and Thoracic Surgery]. / Influencia de las guías de práctica clínica en el diagnóstico y tratamiento de la fibrosis pulmonar idiopática. Datos del Registro de la Sociedad Española de Neumología y Cirugía Torácica.

Objective: The objective of the study was to analyze the diagnostic process and the time until the start of treatment of patients with idiopathic pulmonary fibrosis in relation to the publication of successive clinical practice guide. Material and methods: Multicenter, observational, ambispective study, in which patients includes in the idiopathic pulmonary fibrosis registry of the Spanish Society of Pulmonologist and Thoracic Surgery were analyzed. An electronic data collection notebook was enabled on the society's website. Sociodemographic and clinical variables were collected at diagnosis and follow-up of the patients. Results: From January 2012 to december 2019, 1064 patients were included in the registry, with 929 finally analyzed. The diagnosis process varied depending on the year in which it was performed, and the radiological pattern observed in the high-resolution computed tomography. Up to 26.3% of the cases (244) were diagnosed with chest high-resolution computed tomography and clinical evaluation. Surgical biopsy was used up to 50.2% of cases diagnosed before 2011, while it has been used in 14.2% since 2018. The median time from the onset of symptoms to diagnosis was 360 days (IQR 120-720), taking more than 2 years in the 21.0% of patients. A percentage of 79.4 of patients received antifibrotic treatment. The average time from diagnosis to the antifibrotic treatment has been 309 ± 596.5 days, with a median of 49 (IQR 0-307). Conclusions: The diagnostic process, including the time until diagnosis and the type of test used, has changed from 2011 to 2019, probably due to advances in clinical research and the publication of diagnostic-therapeutic consensus guidelines.

Diagnostic delay of associated interstitial lung disease increases mortality in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a systemic autoimmune disease whose main extra-articular organ affected is the lung, sometimes in the form of diffuse interstitial lung disease (ILD) and conditions the prognosis. A multicenter, observational, descriptive and cross-sectional study of consecutive patients diagnosed with RA-ILD. Demographic, analytical, respiratory functional and evolution characteristics were analyzed to evaluate the predictors of progression and mortality. 106 patients were included. The multivariate analysis showed that the diagnostic delay was an independent predictor of mortality (HR 1.11, CI 1.01-1.23, p = 0.035). Also, age (HR 1.33, 95% CI 1.09-1.62, p = 0.0045), DLCO (%) (HR 0.85, 95% CI 0.73-0.98, p = 0.0246), and final SatO2 (%) in the 6MWT (HR 0.62, 95% CI 0.39-0.99, p = 0.0465) were independent predictor variables of mortality, as well as GAP index (HR 4.65, 95% CI 1.59-13.54, p = 0.0051) and CPI index (HR 1.12, 95% CI 1.03-1.22, p = 0.0092). The withdrawal of MTX or LFN after ILD diagnosis was associated with disease progression in the COX analysis (HR 2.18, 95% CI 1.14-4.18, p = 0.019). This is the first study that highlights the diagnostic delay in RA-ILD is associated with an increased mortality just like happens in IPF.

Do seasonal changes and climate influence the etiology of community acquired pneumonia?

INTRODUCTION: Community acquired pneumonia (CAP) is a highly prevalent pathology whose etiology is determined by the characteristics of the geographic region, and the patient. The study of these features is essential for a proper therapeutic approach. Our aim was to study the changes of the causative agent of CAP brought about by the influence of seasonal and climatic changes in our geographic area. PATIENTS AND METHOD: A prospective and longitudinal study of patients admitted with CAP was done from January 2006 to December 2009. We analyzed demographic data, comorbidities, severity, etiologic agent, complications and mortality. We correlated mean temperature and mean cumulative rainfall for each season with Streptococcus pneumoniae and Legionella pneumophila. Statistical analyses included: Chi squared test, Student's t test for independent samples, variance analysis and Spearman's correlation. RESULTS: We included 243 patients, 64.6% men and 54.7% over the age of 65. The highest incidence of CAP was in the winter. Streptococcus pneumoniae was the most common causative agent for all seasons except in summer when the main agent was Legionella pneumophila. We observed a significant correlation between the lowest seasonal average temperature and pneumococcal etiology of CAP; inversely, with higher temperatures, Legionella pneumophila was more common. No etiological differences were found by season when related with environmental humidity. CONCLUSIONS: In our area, Streptococcus pneumoniae was the most common etiological agent in winter with low temperatures; in summer, with high temperatures, the most frequent was Legionella pneumophila.