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1.
Arch Bronconeumol ; 2024 May 28.
Article in English, Spanish | MEDLINE | ID: mdl-38853119

ABSTRACT

BACKGROUND: Although the medium- and long-term sequelae of survivor of acute respiratory distress syndrome (ARDS) of any cause have been documented, little is known about the way in which COVID-19-induced ARDS affects functional disability and exercise components. Our aims were to examine the medium-term disability in severe COVID-19-associated ARDS survivors, delineate pathophysiological changes contributing to their exercise intolerance, and explore its utility in predicting long-term functional impairment persistence. METHODS: We studied 108 consecutive subjects with severe COVID-19 ARDS who remained alive 6 months after intensive care unit (ICU) discharge. Lung morphology was assessed with chest non-contrast CT scans and CT angiography. Functional evaluation included spirometry, plethysmography, muscle strength, and diffusion capacity, with assessment of gas exchange components through diffusing capacity of nitric oxide. Disability was assessed through an incremental exercise test, and measurements were repeated 12 and 24 months later in patients with functional impairments. RESULTS: At 6 months after ICU discharge, a notable dissociation between morphological and clinical-functional sequelae was identified. Moderate-severe disability was present in 47% of patients and these subjects had greater limitation of ventilatory mechanics and gas exchange, as well as greater symptomatic perception during exercise and a probable associated cardiac limitation. Female sex, hypothyroidism, reduced membrane diffusion component, lower functional residual capacity, and high-attenuation lung volume were independently associated with the presence of moderate-severe functional disability, which in turn was related to higher frequency and greater intensity of dyspnea and worse quality of life. Out of the 71 patients with reduced lung volumes or diffusion capacity at 6 months post-ICU discharge, only 19 maintained a restrictive disorder associated with gas exchange impairment at 24 months post-discharge. In these patients, 6-month values for diffusion membrane component, maximal oxygen uptake, ventilatory equivalent for CO2, and dead space to tidal volume ratio were identified as independent risk factors for persistence of long-term functional sequelae. CONCLUSIONS: Less than half of survivors of COVID-19 ARDS have moderate-severe disability in the medium term, identifying several risk factors. In turn, diffusion membrane component and exercise tolerance at 6-month ICU discharge are independently associated with the persistence of long-term functional sequelae.

2.
Front Public Health ; 11: 1135162, 2023.
Article in English | MEDLINE | ID: mdl-36969686

ABSTRACT

Introduction: Air pollution has a significant impact on the morbidity and mortality of various respiratory diseases. However, this has not been widely studied in diffuse interstitial lung diseases, specifically in idiopathic pulmonary fibrosis. Objective: In this study we aimed to assess the relationship between four major air pollutants individually [carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and nitrogen oxides (NOx)] and the development of chronic respiratory failure, hospitalization due to respiratory causes and mortality in patients with idiopathic pulmonary fibrosis. Methods: We conducted an exploratory retrospective panel study from 2011 to 2020 in 69 patients with idiopathic pulmonary fibrosis from the pulmonary medicine department of a tertiary hospital. Based on their geocoded residential address, levels of each pollutant were estimated 1, 3, 6, 12, and 36 months prior to each event (chronic respiratory failure, hospital admission and mortality). Data was collected from the air quality monitoring stations of the Community of Madrid located <3.5 km (2.2 miles) from each patient's home. Results: The increase in average values of CO [OR 1.62 (1.11-2.36) and OR 1.84 (1.1-3.06)], NO2 [OR 1.64 (1.01-2.66)], and NOx [OR 1.11 (1-1.23) and OR 1.19 (1.03-1.38)] were significantly associated with the probability of developing chronic respiratory failure in different periods. In addition, the averages of NO2, O3, and NOx were significantly associated with the probability of hospital admissions due to respiratory causes and mortality in these patients. Conclusion: Air pollution is associated with an increase in the probability of developing chronic respiratory failure, hospitalization due to respiratory causes and mortality in patients with idiopathic pulmonary fibrosis.


Subject(s)
Air Pollution , Idiopathic Pulmonary Fibrosis , Respiratory Insufficiency , Humans , Retrospective Studies , Nitrogen Dioxide/analysis , Air Pollution/adverse effects , Air Pollution/analysis , Hospitalization
3.
Front Public Health ; 11: 1331134, 2023.
Article in English | MEDLINE | ID: mdl-38269380

ABSTRACT

Introduction: Major urban pollutants have a considerable influence on the natural history of lung disease. However, this effect is not well known in idiopathic pulmonary fibrosis (IPF). Aim: This study aimed to investigate the effects of air pollution on clinical worsening, lung function, and radiological deterioration in patients with IPF. Methods: This exploratory retrospective cohort study included 69 patients with IPF, monitored from 2011 to 2020. Data on air pollution levels, including carbon monoxide (CO), nitrogen dioxide (NO2), particulate matter ≤ 2.5 µM (PM2.5), ozone (O3), and nitrogen oxides (NOx), were collected from the nearest air quality monitoring stations (<3.5 km from the patients' homes). Patient outcomes such as clinical worsening, lung function decline, and radiological deterioration were assessed over various exposure periods (1, 3, 6, 12, and 36 months). The statistical analyses were adjusted for various factors, including age, sex, smoking status, and treatment. Results: There was an association between higher O3 levels and an increased likelihood of clinical worsening over 6 and 36 months of exposure (odds ratio [OR] and 95% confidence interval [CI] = 1.16 [1.01-1.33] and OR and 95% CI = 1.80 [1.07-3.01], respectively). Increased CO levels were linked to lung function decline over 12-month exposure periods (OR and 95% CI 1.63 = [1.01-2.63]). Lastly, radiological deterioration was significantly associated with higher CO, NO2, and NOx levels over 6-month exposure periods (OR and 95% CI = 2.14 [1.33-3.44], OR and 95% CI = 1.76 [1.15-2.66] and OR and 95% CI = 1.16 [1.03-1.3], respectively). Conclusion: This study suggests that air pollution, specifically O3, CO, NO2, and NOx, could affect clinical worsening, lung function, and radiological outcomes in patients with IPF. These findings highlight the potential role of air pollution in the progression of IPF, emphasizing the need for further research and air quality control measures to mitigate its effects on respiratory health.


Subject(s)
Air Pollution , Idiopathic Pulmonary Fibrosis , Humans , Nitrogen Dioxide/adverse effects , Retrospective Studies , Air Pollution/adverse effects , Lung/diagnostic imaging
4.
Sci Rep ; 12(1): 9387, 2022 06 07.
Article in English | MEDLINE | ID: mdl-35672437

ABSTRACT

The main objective of this work is to develop and evaluate an artificial intelligence system based on deep learning capable of automatically identifying, quantifying, and characterizing COVID-19 pneumonia patterns in order to assess disease severity and predict clinical outcomes, and to compare the prediction performance with respect to human reader severity assessment and whole lung radiomics. We propose a deep learning based scheme to automatically segment the different lesion subtypes in nonenhanced CT scans. The automatic lesion quantification was used to predict clinical outcomes. The proposed technique has been independently tested in a multicentric cohort of 103 patients, retrospectively collected between March and July of 2020. Segmentation of lesion subtypes was evaluated using both overlapping (Dice) and distance-based (Hausdorff and average surface) metrics, while the proposed system to predict clinically relevant outcomes was assessed using the area under the curve (AUC). Additionally, other metrics including sensitivity, specificity, positive predictive value and negative predictive value were estimated. 95% confidence intervals were properly calculated. The agreement between the automatic estimate of parenchymal damage (%) and the radiologists' severity scoring was strong, with a Spearman correlation coefficient (R) of 0.83. The automatic quantification of lesion subtypes was able to predict patient mortality, admission to the Intensive Care Units (ICU) and need for mechanical ventilation with an AUC of 0.87, 0.73 and 0.68 respectively. The proposed artificial intelligence system enabled a better prediction of those clinically relevant outcomes when compared to the radiologists' interpretation and to whole lung radiomics. In conclusion, deep learning lesion subtyping in COVID-19 pneumonia from noncontrast chest CT enables quantitative assessment of disease severity and better prediction of clinical outcomes with respect to whole lung radiomics or radiologists' severity score.


Subject(s)
COVID-19 , Deep Learning , Artificial Intelligence , COVID-19/diagnostic imaging , Humans , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed/methods
5.
Arch Bronconeumol (Engl Ed) ; 57(4): 256-263, 2021 Apr.
Article in English, Spanish | MEDLINE | ID: mdl-32107115

ABSTRACT

BACKGROUND: The survival of women with cystic fibrosis (CF) is lower than that of men by approximately 5 years. While various factors have been put forward to account for this discrepancy, no specific reasons have been established. Our hypothesis was that anatomical-structural involvement is more pronounced in women with CF than in men and that this is reflected in thoracic HRCT findings. MATERIAL AND METHODS: We performed a prospective multicentre study, in which adult patients were consecutively included over 18 months. Chest HRCT was performed, and findings were scored by 2 thoracic radiologists using the modified Bhalla system. We also studied respiratory function, applied the CFQR 14+ questionnaire, and collected clinical variables. RESULTS: Of the 360 patients followed up in the participating units, 160 were eventually included. Mean age was 28 years, and 47.5% were women. The mean±SD global score on the modified Bhalla score was 13.7±3.8 in women and 15.2±3.8 in men (p=0.024). The highest scores were observed for sacculations, bronchial generations, and air trapping in women. Women had lower BMI, %FEV1, %FVC, and %DLCO. Similarly, the results for the respiratory domain in CFQR 14+ were worse in women, who also had more annual exacerbations. CONCLUSIONS: This is the first study to provide evidence of the implication of sex differences in HRCT findings in patients with CF. Women with CF present a more severe form of the disease that results in more frequent exacerbations, poorer functional and nutritional outcomes, deterioration of quality of life, and greater structural damage.


Subject(s)
Cystic Fibrosis , Adult , Cystic Fibrosis/diagnostic imaging , Female , Forced Expiratory Volume , Humans , Male , Prospective Studies , Quality of Life , Sex Characteristics , Tomography, X-Ray Computed
6.
Eur Radiol ; 31(1): 112-120, 2021 Jan.
Article in English | MEDLINE | ID: mdl-32740815

ABSTRACT

OBJECTIVES: The objective of this study was to analyze the predictive value of the modified Bhalla score in high-resolution computed tomography (HRCT) for assessment of pulmonary exacerbations (PEx) in cystic fibrosis (CF) patients. We also describe the relationship between this score and pulmonary function test results. METHODS: We performed a multicenter and prospective study where adult patients with CF were included consecutively over 18 months. All patients underwent HRCT with acquisition in inspiration and expiration. The results were analyzed by an expert radiologist who assigned a modified Bhalla score value. Lung function was also assessed, and clinical variables were collected. Follow-up lasted approximately 1 year, and PEx were registered. RESULTS: The study population comprised 160 subjects selected from 360 CF patients monitored in the participating CF units. The mean age was 28 years, 47.5% were women, and mean forced expiratory volume in 1 s (FEV1) was 67.5%. The mean global modified Bhalla score was 14.5 ± 0.31 points. Pulmonary function test (PFT) results and the modified Bhalla score correlated well, mainly forced vital capacity (FVC) and FEV1. We constructed a statistical model based on the overall Bhalla score to predict the number of PEx. CONCLUSIONS: The overall modified Bhalla score can predict future PEx in CF patients. This useful tool can help to prevent PEx in higher risk patients. KEY POINTS: • Pulmonary function test results and the modified Bhalla score correlated well with FVC and FEV1. • The total modified Bhalla score can predict the number of exacerbations in adult CF patients. • Our findings highlight the need to establish a unified protocol for chest HRCT during the follow-up of adult patients with CF in order to anticipate possible complications and determine their impact on pulmonary function.


Subject(s)
Cystic Fibrosis , Adult , Cystic Fibrosis/complications , Cystic Fibrosis/diagnostic imaging , Female , Forced Expiratory Volume , Humans , Lung/diagnostic imaging , Male , Prospective Studies , Vital Capacity
9.
Pediatr Radiol ; 38(2): 216-9, 2008 Feb.
Article in English | MEDLINE | ID: mdl-17909779

ABSTRACT

We report the MRI findings in a 3-week-old boy with D-transposition of the great arteries and an abnormal origin of the right subclavian artery from the pulmonary artery. This anomaly of the subclavian arteries is called isolation. It is infrequent in patients with a right aortic arch, but exceedingly rare in those with a left aortic arch. This is a unique report of the MRI findings in this congenital abnormality of the aortic arch.


Subject(s)
Magnetic Resonance Imaging/methods , Subclavian Artery/abnormalities , Transposition of Great Vessels/diagnosis , Contrast Media , Gadolinium DTPA , Humans , Image Interpretation, Computer-Assisted , Infant, Newborn , Male
10.
Radiographics ; 25 Suppl 1: S229-44, 2005 Oct.
Article in English | MEDLINE | ID: mdl-16227493

ABSTRACT

Aneurysmal diseases of the thoracic aorta are life-threatening conditions. In such cases, stent-graft treatment has been proposed as an alternative to surgery. The morbidity and mortality associated with endovascular repair are significantly lower than those associated with open surgery. In the largest surgical series, the mortality ranged from 5% to 20%. In studies of endovascular repair, the 30-day mortality was 0%-20% and the periprocedural stroke rate was 0%-7%. Often, open surgery is prohibited in patients with these high-risk lesions; thus, in many cases endovascular treatment is the only alternative. Thoracic aortic diseases that can be treated with endovascular stent-graft placement include aneurysms, dissection, traumatic rupture, traumatic pseudoaneurysms, intramural hematoma, penetrating atherosclerotic ulcers, and aortic rupture. Thorough preprocedure imaging is essential for selecting patients, choosing the stent-graft devices, and planning the intervention. Prerequisites for endovascular stent-graft placement are an adequate neck for graft attachment and adequate vascular access. When the ascending aorta or aortic arch is involved, surgical and endovascular procedures can be combined and performed simultaneously, allowing treatment of a wider range of cases. An experienced interdisciplinary team is needed to manage such cases.


Subject(s)
Angioplasty , Aortic Diseases/surgery , Stents , Aortic Dissection/diagnostic imaging , Aortic Dissection/surgery , Angiography, Digital Subtraction , Angioplasty/methods , Aorta, Thoracic , Aortic Aneurysm, Thoracic/diagnostic imaging , Aortic Aneurysm, Thoracic/surgery , Aortic Diseases/diagnostic imaging , Humans , Tomography, X-Ray Computed
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