Relationship of CTLA4 and CD28 polymorphisms with lung involvement, HRCT findings and pulmonary function tests in Turkish patients with ankylosing spondylitis

2015 ◽  
Vol 11 (5) ◽  
pp. 593-601
Author(s):  
Fatmanur Karakose Okyaltırık ◽  
Aylin Rezvani ◽  
Saime Turan ◽  
Ömer Uysal ◽  
Fatih Yakar ◽  
...  
2009 ◽  
Vol 44 (12) ◽  
pp. 1226-1234 ◽  
Author(s):  
Serena Panigada ◽  
Angelo Ravelli ◽  
Michela Silvestri ◽  
Claudio Granata ◽  
Silvia Magni-Manzoni ◽  
...  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1571.1-1571
Author(s):  
A. Avanoğlu Güler ◽  
H. Karadeniz ◽  
R. Bilici Salman ◽  
H. Satiş ◽  
H. Babaoglu ◽  
...  

Background:Systemic sclerosis (SSc) is a complex disease, characterized by multi-system organ involvement including interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH). The decrease in physical activity in SSc patients with lung involvement has been demonstrated by self-reported physical capacity and 6 min-walking test (6MWT) (1, 2). Commercial smart bands can provide data on daily physical activity, sleep characteristics, blood oxygen concentration and heart rate measurement, therefore may aid in monitoring disease activity.Objectives:The aim of this study is to evaluate physical activity in SSc patients by using a commercial smart band and investigate its association with clinical characteristics and patient-reported outcome measures of disease activityMethods:This prospective observational study included SSc patients with having a smartphone. Patients characteristics including age, sex, and organ involvements were recorded. Each participant was subjected to pulmonary function tests and 6MWT. All of patients answered Scleroderma Health Assessment Questionnaire (SHAQ, consisting of HAQ-Disability Index (DI) and visual analog scales (VAS) domains). All patients received Fitbit inspire HR smart band® which records the number of steps, heart rate, distance and was instructed to wear it continuously for one week. Tracked data was collected from smartphones via Fitbit application.Results:Fifteen SSc patients (14 females and 1 male) participated in the study, 8 (53.3%) had limited SSc and 7 (46.7) had diffuse SSc. The mean age was 48.5±15.5 and the median disease duration was 4 (min-max:1-9) years. Eleven (73.3%) patients had ILD and one patient had PAH. Musculoskeletal complaints were evident in two patients. Forced vital capacity (FVC, % predicted), diffusion capacity of lung for carbon monoxide (DLCO, %) in patients with ILD were significantly lower than patients without ILD median (IQR) 102 (30) vs 80 (27) p= 0.026, 57 (20) vs 95 (13), p= 0.002, respectively. The median distance of 6MWTs were 450 (225) vs 568 (102) in ILD and non-ILD groups. The median total weekly step counts of ILD patients were remarkably lower in ILD patients compared to non-ILD 36.137 (17.879) vs 58.114 (80.681) steps/week, (p= 0.01). Patients with ILD had a bit higher median heart rate compared to non-ILD, 73 (9) vs 67.5 (12). The total weekly step counts were correlated with pulmonary function tests, including forced expiratory volume in one second (FEV1%) (r= 0.57, p= 0.025), FVC (%) (r= 0.65, p= 0.009), and DLCO (%) (r= 0.70, p= 0.005), patient-reported disease severity (r=-0.66, p= 0.007), and breathing problem (r= -0.55, p= 0.03) domains of SHAQ. There was no correlation between weekly step counts and 6MWTConclusion:The assessment of physical activity with smart activity bands may help to identify SSc patients with ILD. Tracked physical activity using smart bands correlates with pulmonary function tests and performs better than 6MWT, suggesting it as a useful tool for the assessment of disease activity.References:[1]Battaglia S, Bellia M, Serafino-Agrusa L, Giardina A, Messina M, Cannizzaro F, et al. Physical capacity in performing daily activities is reduced in scleroderma patients with early lung involvement.Clin Respir J(2017) 11(1):36-42.[2]Mainguy V, Provencher S, Maltais F, Malenfant S, Saey D. Assessment of daily life physical activities in pulmonary arterial hypertension.PLoS One(2011) 6(11):e27993.Disclosure of Interests:None declared


Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1880
Author(s):  
Giuseppe Murdaca ◽  
Simone Caprioli ◽  
Alessandro Tonacci ◽  
Lucia Billeci ◽  
Monica Greco ◽  
...  

Introduction: Systemic sclerosis (SSc) is a systemic immune-mediated disease, featuring fibrosis of the skin and organs, and has the greatest mortality among rheumatic diseases. The nervous system involvement has recently been demonstrated, although actual lung involvement is considered the leading cause of death in SSc and, therefore, should be diagnosed early. Pulmonary function tests are not sensitive enough to be used for screening purposes, thus they should be flanked by other clinical examinations; however, this would lead to a risk of overtesting, with considerable costs for the health system and an unnecessary burden for the patients. To this extent, Machine Learning (ML) algorithms could represent a useful add-on to the current clinical practice for diagnostic purposes and could help retrieve the most useful exams to be carried out for diagnostic purposes. Method: Here, we retrospectively collected high resolution computed tomography, pulmonary function tests, esophageal pH impedance tests, esophageal manometry and reflux disease questionnaires of 38 patients with SSc, applying, with R, different supervised ML algorithms, including lasso, ridge, elastic net, classification and regression trees (CART) and random forest to estimate the most important predictors for pulmonary involvement from such data. Results: In terms of performance, the random forest algorithm outperformed the other classifiers, with an estimated root-mean-square error (RMSE) of 0.810. However, this algorithm was seen to be computationally intensive, leaving room for the usefulness of other classifiers when a shorter response time is needed. Conclusions: Despite the notably small sample size, that could have prevented obtaining fully reliable data, the powerful tools available for ML can be useful for predicting early lung involvement in SSc patients. The use of predictors coming from spirometry and pH impedentiometry together might perform optimally for predicting early lung involvement in SSc.


2013 ◽  
Vol 8 (1) ◽  
pp. 37-41
Author(s):  
Meenakshi Sharma ◽  
Rambabu Sharma ◽  
Neelam Singh ◽  
Kusum Gaur

Background: The knowledge of pulmonary function tests (PFTs) is a basic requirement to understand the respiratory physiology for all medical physiologists and clinicians Pulmonary Function Tests provide objective evidence of nature and severity of lung disease. Objective: To observe FEV1, FVC, FEV1/FVC ratio in healthy male and female school children from 7-14 years of age in Western Rajasthan and to find out the relationship of FEV1, FVC, FEV1/FVC ratio with their height, weight, BSA and sex Methods: The present study was carried out on 112 male and 76 female children of 7-14 years. For Pulmonary Function Tests, FEV1, FVC and FEV1/FVC along with anthropometric data of each subject was recorded. Data were analyzed by unpaired t test, Pearson correlation coefficient test, simple and multiple regression analysis. Results: FVC and FEV1 values were found significantly (p<0.001) higher in male than those of female. Significant positive correlation of FVC and FEV1 whereas non significant negative correlation of FEV1/FVC were observed with age, height, weight, body surface area in all children. Conclusion: As the weight, age, height and BSA of subjects increases, FEV1 and FVC increases while FEV1/FVC ratio decreases in both the sexes. DOI: http://dx.doi.org/10.3329/jbsp.v8i1.16646 J Bangladesh Soc Physiol. 2013, June; 8(1): 37-41


2019 ◽  
Vol 14 ◽  
Author(s):  
Nicola Ciancio ◽  
Mauro Pavone ◽  
Sebastiano Emanuele Torrisi ◽  
Ada Vancheri ◽  
Domenico Sambataro ◽  
...  

Introduction: Connective Tissue Diseases (CTDs) are systemic autoimmune conditions characterized by frequent lung involvement. This usually takes the form of Interstitial Lung Disease (ILD), but Obstructive Lung Disease (OLD) and Pulmonary Artery Hypertension (PAH) can also occur. Lung involvement is often severe, representing the first cause of death in CTD. The aim of this study is to highlight the role of Pulmonary Function Tests (PFTs) in the diagnosis and follow up of CTD patients. Main body: Rheumatoid Arthritis (RA) showed mainly an ILD with a Usual Interstitial Pneumonia (UIP) pattern in High-Resolution Chest Tomography (HRCT). PFTs are able to highlight a RA-ILD before its clinical onset and to drive follow up of patients with Forced Vital Capacity (FVC) and Carbon Monoxide Diffusing Capacity (DLCO). In the course of Scleroderma Spectrum Disorders (SSDs) and Idiopathic Inflammatory Myopathies (IIMs), DLCO appears to be more sensitive than FVC in highlighting an ILD, but it can be compromised by the presence of PAH. A restrictive respiratory pattern can be present in IIMs and Systemic Lupus Erythematosus due to the inflammatory involvement of respiratory muscles, the presence of fatigue or diaphragm distress. Conclusions: The lung should be carefully studied during CTDs. PFTs can represent an important prognostic tool for diagnosis and follow up of RA-ILD, but, on their own, lack sufficient specificity or sensitivity to describe lung involvement in SSDs and IIMs. Several composite indexes potentially able to describe the evolution of lung damage and response to treatment in SSDs are under investigation. Considering the potential severity of these conditions, an HRCT jointly with PFTs should be performed in all new diagnoses of SSDs and IIMs. Moreover, follow up PFTs should be interpreted in the light of the risk factor for respiratory disease related to each disease.


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