Dataset Information

Pulmonary complications in hematopoietic SCT: a prospective study.

ABSTRACT: Pulmonary complications are common and often lethal in hematopoietic SCT recipients. The objective of this prospective interventional study was to evaluate the etiology, diagnostic procedures, risk factors and outcome of pulmonary complications in a cohort of hematopoietic SCT recipients followed up for 1 year. For patients suffering from a pulmonary complication, a diagnostic algorithm that included non-invasive and bronchoscopic procedures was performed. We identified 73 pulmonary complications in 169 patients: 50 (68%) were pneumonias; 21 (29%) were non-infectious complications and 2 (3%) were undiagnosed. Viruses (particularly Rhinovirus) and bacteria (particularly P. aeruginosa) (28 and 26%, respectively) were the most common causes of pneumonia. A specific diagnosis was obtained in 83% of the cases. A non-invasive test gave a specific diagnosis in 59% of the episodes. The diagnostic yield of bronchoscopy was 67 and 78% in pulmonary infections. Early bronchoscopy (?5 days) had higher diagnostic yield than late bronchoscopy (78 vs 23%; P=0.02) for pulmonary infections. Overall mortality was 22 and 32% of all fatalities were due to pulmonary complications. Pulmonary complications are common and constitute an independent risk factor for mortality, stressing the importance of an appropriate clinical management.

SUBMITTER: Lucena CM

PROVIDER: S-EPMC7094728 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pulmonary complications in hematopoietic SCT: a prospective study.

Lucena C M CM Torres A A Rovira M M Marcos M A MA de la Bellacasa J P JP Sánchez M M Domingo R R Gabarrus A A Mensa J J Agustí C C

Bone marrow transplantation 20140721 10

Pulmonary complications are common and often lethal in hematopoietic SCT recipients. The objective of this prospective interventional study was to evaluate the etiology, diagnostic procedures, risk factors and outcome of pulmonary complications in a cohort of hematopoietic SCT recipients followed up for 1 year. For patients suffering from a pulmonary complication, a diagnostic algorithm that included non-invasive and bronchoscopic procedures was performed. We identified 73 pulmonary complication ...[more]

PMID: 25046219

Similar Datasets

Project description:The purpose of this study is to evaluate the relationship between preoperative physical performance (grip strength, gait speed, timed up and go) and postoperative pulmonary complications (PPCs) in patients who have undergone coronary artery bypass grafting (CABG). From September 2019 to August 2021, a total of 497 CABG patients who met the inclusion criteria of this study were examined for grip strength, 4-m gait speed, and timed up and go (TUG) before CABG surgery. Among them, 438 were included in the final analysis. PPCs were classified according to the operational definition of Kroenke et al. and patients with clinically significant PPCs were included in the data analysis. Logistic regression was utilised to analyse the relationship between physical performance and clinically significant PPCs. Besides, the receiver operating characteristic (ROC) curve was applied to analyse the predictive effect of grip strength, gait speed, and TUG on clinically significant PPCs after the CABG procedure. In total, 103 (23.5%) patients developed clinically significant PPCs after CABG. After making adjustments for the European System for Cardiac Operative Risk Evaluation (EuroSCORE) and confounding factors, we established that low grip/weight (OR 0.510; 95% CI 0.363-0.715), slow gait speed (OR 0.619; 95% CI 0.517-0.741), and prolonged TUG (OR 1.617; 95% CI 1.379-1.895) were all independently correlated with clinically significant PPCs after CABG. The ROC curve analysis indicated that the area under the ROC curve of the integrated model of the three indicators (AUC 0.792 vs. 0.682, 0.754, 0.765) was larger than that of the model with a single indicator. Besides the predictive effect of the integrated model was superior to the models using grip/weight, gait speed, or TUG alone. Physical performance, including grip/weight, gait speed, and TUG, is a predictive factor for PPCs in CABG patients, and can be used in preoperative evaluations to and help improve the management of high-risk patients.

Project description:BackgroundPulmonary complications, including infections, are highly prevalent in patients after hematopoietic cell transplantation with chronic graft-vs-host disease. These comorbid diseases can make the diagnosis of early lung graft-vs-host disease (bronchiolitis obliterans syndrome) challenging. A quantitative method to differentiate among these pulmonary diseases can address diagnostic challenges and facilitate earlier and more targeted therapy.Study design and methodsWe conducted a single-center study of 66 patients with CT chest scans analyzed with a quantitative imaging tool known as parametric response mapping. Parametric response mapping results were correlated with pulmonary function tests and clinical characteristics. Five parametric response mapping metrics were applied to K-means clustering and support vector machine models to distinguish among posttransplantation lung complications solely from quantitative output.ResultsCompared with parametric response mapping, spirometry showed a moderate correlation with radiographic air trapping, and total lung capacity and residual volume showed a strong correlation with radiographic lung volumes. K-means clustering analysis distinguished four unique clusters. Clusters 2 and 3 represented obstructive physiology (encompassing 81% of patients with bronchiolitis obliterans syndrome) in increasing severity (percentage air trapping 15.6% and 43.0%, respectively). Cluster 1 was dominated by normal lung, and cluster 4 was characterized by patients with parenchymal opacities. A support vector machine algorithm differentiated bronchiolitis obliterans syndrome with a specificity of 88%, sensitivity of 83%, accuracy of 86%, and an area under the receiver operating characteristic curve of 0.85.InterpretationOur machine learning models offer a quantitative approach for the identification of bronchiolitis obliterans syndrome vs other lung diseases, including late pulmonary complications after hematopoietic cell transplantation.

Dataset Information

Pulmonary complications in hematopoietic SCT: a prospective study.

Publications

Pulmonary complications in hematopoietic SCT: a prospective study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets