A5079300549- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory and Cough-Related Research
- Shoulder Injury and Treatment
- Pediatric health and respiratory diseases
- Pneumonia and Respiratory Infections
- Mycobacterium research and diagnosis
- Phonocardiography and Auscultation Techniques
- Emergency and Acute Care Studies
- Respiratory viral infections research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Mobile Health and mHealth Applications
- T-cell and B-cell Immunology
- Musculoskeletal Disorders and Rehabilitation
- Tuberculosis Research and Epidemiology
- Asthma and respiratory diseases
- Diagnosis and treatment of tuberculosis
- Pharmacological Effects of Natural Compounds
- Clinical Nutrition and Gastroenterology
- Burkholderia infections and melioidosis
- Gastrointestinal disorders and treatments
- Pneumothorax, Barotrauma, Emphysema
Johnson & Johnson (United States)
2023
National Kinki Chuo Hospital for Chest Disease
2019
St James's University Hospital
2014
National Academies of Sciences, Engineering, and Medicine
1928
University College Hospital
1928
University College London
1928
Abstract Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
Background Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. Methods Participants aged 40 75 years with without symptoms who had no condition apart from COPD, bronchitis, emphysema were...
Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiological examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or inputs. Design setting A prospective cohort study using data from participants aged >12 years acute symptoms...
dysmotility symptoms score.A multivariate linear regression analysis revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
<b>Introduction:</b> Identifying exacerbations in patients with COPD is necessary to allow the implementation of timely and appropriate treatment but resource intensive may be confused other conditions. <b>Aim:</b> To determine accuracy exacerbation detection subjects aged over 40 years using a smartphone-based algorithm that analyses cough sounds patient-reported symptoms. <b>Methods:</b> A diagnostic model (index test) was developed five three-patient reported features (age, fever acute...
ABSTRACT Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiologic examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or radiology inputs. Design Setting A prospective cohort study using data from subjects aged over 12 years acute...
<h3>Introduction</h3> Prognostic factors in patients on home parenteral nutrition (HPN) are primarily thought to be related the underlying disease. <b><sup>1</sup></b> To best of our knowledge, there is no data so far pertaining long-term cardiovascular disease (CVD) risk these patients. We aimed review cohort HPN assess their 10-year CVD using validated QRisk2 score<b><sup>2</sup></b>and explore possible associations between and CVD. <h3>Methods</h3> conducted a <i>retrospective...
dysmotility symptoms score.A multivariate linear regression revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
Analysis of the National Health Insurance data has been actively carried out for purpose academic research and establishing scientific evidences health care service policy asthma.However, there a limitation accuracy extracted through conventional operational definition.Aim: To establish an definition that predicts asthma more accurately.Methods: From Jan 2017 to 2018, we patients with using in St. Paul's Hospital at Catholic University Korea.Among these, 10% were randomly sampled...
mucormycosis is an uncommon, life-threatening opportunistic fungal infection which affects immunocompromised patients such as diabetes, recipients of stem cell or organ transplant, and has worse outcomes in those with hematologic malignancy neutropenia.Methods: A 35 years old male patient uncontrolled type II Diabemellitus presented to casualty complaints cough associated thick dark brownish sputum for 1 month, fever, loss appetite weight since 15 days.His vitals were stable at the time...
ABSTRACT Background Rapid and accurate diagnosis of Chronic Obstructive Pulmonary Disease (COPD) is problematic in acute-care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid, smartphone-based algorithm for detection COPD, or absence acute respiratory infection, then evaluate diagnostic accuracy on an independent validation set. Methods Subjects aged 40-75 years with without symptoms disease who had no chronic condition apart...
ABSTRACT Acute Exacerbations of Chronic Obstructive Pulmonary Disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
<sec> <title>BACKGROUND</title> Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. </sec> <title>OBJECTIVE</title> The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. <title>METHODS</title> Participants aged 40 75 years with without symptoms who...