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https://www.readbyqxmd.com/read/28328098/plasma-exchange-successfully-treated-macrophage-activation-syndrome-in-rheumatoid-factor-positive-polyarticular-juvenile-idiopathic-arthritis-with-combined-pneumonia
#1
Lianjie Shi, Fanlei Hu, Chuanhui Xu, Huaqun Zhu, Di Qie, Chuanjie Yuan, Yuhong Tao, Hanmin Liu
Macrophage activation syndrome (MAS) is one of the serious complications associated with rheumatic diseases, especially systemic juvenile idiopathic arthritis (sJIA). Here we describe a 9-year-old girl with rheumatoid factor (RF)-positive polyarticular JIA, not sJIA, combined with pneumonia who was successfully treated by plasma exchange. She was diagnosed with RF-positive polyarticular JIA based on positive RF and multiple joint swelling and tenderness 3 years ago. She was admitted in our hospital with myalgia for 2 days and a high fever for half a day...
March 22, 2017: International Journal of Rheumatic Diseases
https://www.readbyqxmd.com/read/28324938/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#2
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28322699/markers-of-disease-severity-in-patients-with-spanish-influenza-in-the-japanese-armed-forces-1919-1920
#3
Koichiro Kudo, Toshie Manabe, Shinyu Izumi, Jin Takasaki, Yuji Fujikura, Akihiko Kawana, Kenji Yamamoto
We examined preserved medical charts of 470 Spanish influenza patients (8 with fatal cases) hospitalized at former army hospitals in Japan during 1919-1920. The following factors were associated with longer periods of hospitalization: adventitious discontinuous lung sounds, maximum respiration rate, continuation of high fever after hospital admission, and diphasic fever.
April 2017: Emerging Infectious Diseases
https://www.readbyqxmd.com/read/28318886/airway-inflammation-phenotype-prediction-in-asthma-patients-using-lung-sound-analysis-with-fractional-exhaled-nitric-oxide
#4
Terufumi Shimoda, Yasushi Obase, Yukio Nagasaka, Hiroshi Nakano, Reiko Kishikawa, Tomoaki Iwanaga
BACKGROUND: We previously reported the results of lung sound analysis in patients with bronchial asthma and demonstrated that the exhalation-to-inhalation sound pressure ratio in the low frequency range between 100 and 200 Hz (E/I LF) was correlated with the presence of airway inflammation and airway obstruction. We classified asthma patients by airway inflammation phenotype using the induced sputum eosinophil and neutrophil ratio and determined whether this phenotype could be predicted using E/I LF and fractional exhaled nitric oxide values...
March 16, 2017: Allergology International: Official Journal of the Japanese Society of Allergology
https://www.readbyqxmd.com/read/28294357/expression-of-factors-involved-in-dental-pulp-physiopathological-processes-by-nemotic-human-pulpal-fibroblasts
#5
J Le Clerc, S Tricot-Doleux, P Pellen-Mussi, M Pérard, S Jeanne, F Pérez
AIM: To investigate in human pulp fibroblasts (HDPF) the expression of factors involved in dental pulp physiopathological processes and in an experimental model of cell activation called nemosis, and to compare the behaviour of pulp cell activation with sound lung fibroblasts MRC5, employed as a reference model for nemosis. METHODOLOGY: Nemotic response was induced in 3-dimensional cultures of HDPF and lung fibroblasts. The expressions of molecules involved in physiological (alkaline phosphatase, type I collagen) and in inflammatory processes (IL-6, CXCL8, CCL20, COX-2) were studied using real-time PCR...
March 10, 2017: International Endodontic Journal
https://www.readbyqxmd.com/read/28269614/detection-of-different-types-of-noise-in-lung-sounds
#6
A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira
Lung sound signal processing has proven to be a great improvement to the traditional acoustic interpretation of lung sounds. However, that analysis can be seriously hindered by the presence of different types of noise originated in the acquisition environment or caused by physiological processes. Consequently, the diagnostic accuracy of pulmonary diseases can be severely affected, especially if the implementation of telemonitoring systems is considered. The present study is focused on the implementation of an algorithm able to identify noisy periods, either voluntarily (vocalizations, chest movement and background voices) or involuntarily produced during acquisitions of lung sounds...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269247/identi-wheez-a-device-for-in-home-diagnosis-of-asthma
#7
Guy Satat, Krithika Ramchander, Ramesh Raskar
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. In this work, we present a child-friendly wearable device, which allows in-home diagnosis of asthma. The device acquires simultaneous measurements from multiple stethoscopes. The recordings are then sent to a specialist who uses assistive diagnosis algorithms that enable auscultation (listening to lung sounds with a stethoscope) at any location in the lungs volume by sound refocusing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269104/a-lung-sound-classification-system-based-on-the-rational-dilation-wavelet-transform
#8
Sezer Ulukaya, Gorkem Serbes, Ipek Sen, Yasemin P Kahya
In this work, a wavelet based classification system that aims to discriminate crackle, normal and wheeze lung sounds is presented. While the previous works related with this problem use constant low Q-factor wavelets, which have limited frequency resolution and can not cope with oscillatory signals, in the proposed system, the Rational Dilation Wavelet Transform, whose Q-factors can be tuned, is employed. Proposed system yields an accuracy of 95 % for crackle, 97 % for wheeze, 93.50 % for normal and 95.17 % for total sound signal types using energy feature subset and proposed approach is superior to conventional low Q-factor wavelet analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269094/resonance-based-respiratory-sound-decomposition-aiming-at-localization-of-crackles-in-noisy-measurements
#9
Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya
In this work, resonance based decomposition of lung sounds that aims to separate wheeze, crackle and vesicular sounds into three individual channels while automatically localizing crackles for both synthetic and real data is presented. Previous works focus on stationary-non stationary discrimination to separate crackles and vesicular sounds disregarding wheezes which are stationary as compared to crackles. However, wheeze sounds include important cues about the underlying pathology. Using two different threshold methods and synthetic sound generation scenarios in the presence of wheezes, resonance based decomposition performs 89...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269092/detection-of-crackle-events-using-a-multi-feature-approach
#10
L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva
The automatic detection of adventitious lung sounds is a valuable tool to monitor respiratory diseases like chronic obstructive pulmonary disease. Crackles are adventitious and explosive respiratory sounds that are usually associated with the inflammation or infection of the small bronchi, bronchioles and alveoli. In this study a multi-feature approach is proposed for the detection of events, in the frame space, that contain one or more crackles. The performance of thirty-five features was tested. These features include thirty-one features usually used in the context of Music Information Retrieval, a wavelet based feature as well as the Teager energy and the entropy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269088/an-analysis-of-sounds-for-lungs-with-excessive-water
#11
Kah Jun Hong, Wee Ser, David Chee-Guan Foo
Excessive lung water occurs when too much water accumulates in the lung, causing breathing difficulty. Current diagnosis methods include X-rays and CT-scans. However, because of their bulk and the need for trained professionals to operate, physicians rely on auscultation for preliminary diagnosis. Recent attempts have been made to automate the auscultation process and some degree of success has been reported. Thus, it would be useful to provide more analysis of such lung sounds. This paper attempts to study the characteristics of breathing sounds from lungs with excessive water and compare them with breathing sounds from healthy lungs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269044/detection-of-patients-considering-observation-frequency-of-continuous-and-discontinuous-adventitious-sounds-in-lung-sounds
#12
Naoki Nakamura, Masaru Yamashita, Shoichi Matsunaga
We propose an improved approach for distinguishing between healthy subjects and patients with pulmonary emphysema by the use of one stochastic acoustic model for continuous adventitious sounds and another for discontinuous adventitious sounds. These models are able to represent the spectral features of the adventitious sounds for the detection of abnormal respiration. However, abnormal respiratory sounds with unclassifiable spectral features are present among the continuous and discontinuous adventitious sounds and mixing noises...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268982/acoustic-evaluation-of-pirfenidone-on-patients-with-combined-pulmonary-fibrosis-emphysema-syndrome
#13
Sonia Charleston-Villalobos, Norma Castaneda-Villa, Ramon Gonzalez-Camarena, M Mejia-Avila, H Mateos-Toledo, Tomas Aljama-Corrales
The combined pulmonary fibrosis emphysema syndrome (CPFES) overall has a poor prognosis with a 5-year survival of 35-80%. Consequently, to evaluate possible positive effects on patients of novel agents as pirfenidone is relevant. However, the efficacy of pirfenidone in CPFES patients is still not well-known. In this study we propose an alternative to evaluate the effects of pirfenidone treatment on CPFES patients via acoustic information. Quantitative analysis of discontinuous adventitious lung sounds (DLS), known as crackles, has been promising to detect and characterize diverse pulmonary pathologies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28264709/a-rare-presentation-of-myxofibrosarcoma-as-a-pancoast-tumor-a-case-report
#14
Vasa Jevremovic, Adnan Yousuf, Zulfiqar Hussain, Amer Abboud, Edgar G Chedrawy
BACKGROUND: Myxofibrosarcoma is an aggressive soft tissue neoplasm, classified as a variant of malignant fibrous histiocytoma. Most often, it occurs in middle to late adult life peaking in the seventh decade and involving the lower extremities (77%), trunk (12%), and retroperitoneum or mediastinum (8%). We report the first case of thoracic myxofibrosarcoma presenting as a Pancoast tumor. CASE PRESENTATION: A 48-year-old non-tobacco smoking African-American man presented with a slow-growing mass in his neck along with 11 kg weight loss over 9 months...
March 7, 2017: Journal of Medical Case Reports
https://www.readbyqxmd.com/read/28229983/establishment-and-application-of-early-risk-stratification-method-for-acute-abdominal-pain-in-adults
#15
Yu Wang, Hong Zhao, Zhen Zhou, Ci Tian, Hong-Li Xiao, Bao-En Wang
BACKGROUND: Acute abdominal pain is a common symptom of emergency patients. The severity was always evaluated based on physicians' clinical experience. The aim of this study was to establish an early risk stratification method (ERSM) for addressing adults with acute abdominal pain, which would guide physicians to take appropriate and timely measures following the established health-care policies. METHODS: In Cohort 1, the records of 490 patients with acute abdominal pain that developed within the past 72 h were enrolled in this study...
March 5, 2017: Chinese Medical Journal
https://www.readbyqxmd.com/read/28227872/detection-of-different-types-of-noise-in-lung-sounds
#16
A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, R Couceiro, P Carvalho, C Teixeira, A Leal, R Paiva, J Henriques, N Maglaveras, I Chouvarda
Lung sound signal processing has proven to be a great improvement to the traditional acoustic interpretation of lung sounds. However, that analysis can be seriously hindered by the presence of different types of noise originated in the acquisition environment or caused by physiological processes. Consequently, the diagnostic accuracy of pulmonary diseases can be severely affected, especially if the implementation of telemonitoring systems is considered. The present study is focused on the implementation of an algorithm able to identify noisy periods, either voluntarily (vocalizations, chest movement and background voices) or involuntarily produced during acquisitions of lung sounds...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227481/identi-wheez-a-device-for-in-home-diagnosis-of-asthma
#17
Guy Satat, Krithika Ramchander, Ramesh Raskar, Guy Satat, Krithika Ramchander, Ramesh Raskar, Guy Satat, Ramesh Raskar, Krithika Ramchander
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. In this work, we present a child-friendly wearable device, which allows in-home diagnosis of asthma. The device acquires simultaneous measurements from multiple stethoscopes. The recordings are then sent to a specialist who uses assistive diagnosis algorithms that enable auscultation (listening to lung sounds with a stethoscope) at any location in the lungs volume by sound refocusing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227329/a-lung-sound-classification-system-based-on-the-rational-dilation-wavelet-transform
#18
Sezer Ulukaya, Gorkem Serbes, Ipek Sen, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Ipek Sen, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Ipek Sen, Yasemin P Kahya
In this work, a wavelet based classification system that aims to discriminate crackle, normal and wheeze lung sounds is presented. While the previous works related with this problem use constant low Q-factor wavelets, which have limited frequency resolution and can not cope with oscillatory signals, in the proposed system, the Rational Dilation Wavelet Transform, whose Q-factors can be tuned, is employed. Proposed system yields an accuracy of 95 % for crackle, 97 % for wheeze, 93.50 % for normal and 95.17 % for total sound signal types using energy feature subset and proposed approach is superior to conventional low Q-factor wavelet analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227315/resonance-based-respiratory-sound-decomposition-aiming-at-localization-of-crackles-in-noisy-measurements
#19
Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya
In this work, resonance based decomposition of lung sounds that aims to separate wheeze, crackle and vesicular sounds into three individual channels while automatically localizing crackles for both synthetic and real data is presented. Previous works focus on stationary-non stationary discrimination to separate crackles and vesicular sounds disregarding wheezes which are stationary as compared to crackles. However, wheeze sounds include important cues about the underlying pathology. Using two different threshold methods and synthetic sound generation scenarios in the presence of wheezes, resonance based decomposition performs 89...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227313/detection-of-crackle-events-using-a-multi-feature-approach
#20
L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva, L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva, I Chouvarda, P Carvalho, L Mendes, E Perantoni, R P Paiva, J Henriques, I M Vogiatzis, N Maglaveras, E Kaimakamis
The automatic detection of adventitious lung sounds is a valuable tool to monitor respiratory diseases like chronic obstructive pulmonary disease. Crackles are adventitious and explosive respiratory sounds that are usually associated with the inflammation or infection of the small bronchi, bronchioles and alveoli. In this study a multi-feature approach is proposed for the detection of events, in the frame space, that contain one or more crackles. The performance of thirty-five features was tested. These features include thirty-one features usually used in the context of Music Information Retrieval, a wavelet based feature as well as the Teager energy and the entropy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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