Displaying publications 21 - 27 of 27 in total

Abstract:
Sort:
  1. Tan SB, Liam CK, Pang YK, Leh-Ching Ng D, Wong TS, Wei-Shen Khoo K, et al.
    J Pain Symptom Manage, 2019 04;57(4):802-808.
    PMID: 30684635 DOI: 10.1016/j.jpainsymman.2019.01.009
    CONTEXT: Dyspnea is a common and distressing symptom in respiratory diseases. Despite advances in the treatment of various lung diseases, the treatment modalities for dyspnea remain limited.

    OBJECTIVES: This study aims to examine the effect of 20-minute mindful breathing on the rapid reduction of dyspnea at rest in patients with lung cancer, chronic obstructive pulmonary disease, and asthma.

    METHODS: We conducted a parallel-group, nonblinded, randomized controlled trial of standard care plus 20-minute mindful breathing vs. standard care alone for patients with moderate to severe dyspnea due to lung disease, named previously, at the respiratory unit of University Malaya Medical Centre in Malaysia, from August 1, 2017, to March 31, 2018.

    RESULTS: Sixty-three participants were randomly assigned to standard care plus a 20-minute mindful breathing session (n = 32) or standard care alone (n = 31), with no difference in their demographic and clinical characteristics. There was statistically significant reduction in dyspnea in the mindful breathing group compared with the control group at minute 5 (U = 233.5, n1 = 32, n2 = 31, mean rank1 = 23.28, mean rank2 = 37.72, z = -3.574, P asthma.

    Matched MeSH terms: Asthma/physiopathology*
  2. Singh OP, Ahmed IB, Malarvili MB
    Technol Health Care, 2018;26(5):785-794.
    PMID: 30124456 DOI: 10.3233/THC-181288
    BACKGROUND: Assessment of asthma outside of the hospital using a patient independent device is highly in demand due to the limitation of existing devices, which are manual and unreliable if patients are not cooperative.

    OBJECTIVE: The study aims to verify the use of newly developed human respiration, carbon dioxide (CO2) measurement device for the management of asthma outside of the hospital.

    METHOD: The data were collected from 60 subjects aged between 18-35 years via convenience sampling method reported in UTM Health Center using the device. Furthermore, the data were normalized and analyzed using descriptive statistics, t-test, and area (Az) under receiver operating characteristic curve (ROC).

    RESULT: Findings revealed that the normalized mean values of end-tidal carbon dioxide (EtCO2), Hjorth Activity (HA), and respiratory rate (RR) were lower in asthmatic compared with healthy subjects with minimum deviation from the mean. In addition, each parameter was found to significantly differ statistically for asthma and non-asthma with p< 0.05. Furthermore, the Az shows the strong association for the screening of asthma and non-asthma with an average of 0.71 (95% CI: 0.57-0.83), 0.77 (95% CI: 0.64-0.90), and 0.83 (95% CI: 0.73-0.94) for RR, EtCO2, and HA, respectively.

    CONCLUSIONS: This study demonstrates that the newly developed handheld human respiration CO2 measurement device may possibly be used as an effort-independent asthma management method outside of the hospital.
    Matched MeSH terms: Asthma/physiopathology*
  3. Nabi FG, Sundaraj K, Lam CK, Palaniappan R
    Comput Biol Med, 2019 01;104:52-61.
    PMID: 30439599 DOI: 10.1016/j.compbiomed.2018.10.035
    OBJECTIVE: This study aimed to investigate and classify wheeze sounds of asthmatic patients according to their severity level (mild, moderate and severe) using spectral integrated (SI) features.

    METHOD: Segmented and validated wheeze sounds were obtained from auscultation recordings of the trachea and lower lung base of 55 asthmatic patients during tidal breathing manoeuvres. The segments were multi-labelled into 9 groups based on the auscultation location and/or breath phases. Bandwidths were selected based on the physiology, and a corresponding SI feature was computed for each segment. Univariate and multivariate statistical analyses were then performed to investigate the discriminatory behaviour of the features with respect to the severity levels in the various groups. The asthmatic severity levels in the groups were then classified using the ensemble (ENS), support vector machine (SVM) and k-nearest neighbour (KNN) methods.

    RESULTS AND CONCLUSION: All statistical comparisons exhibited a significant difference (p asthma severity levels. In addition, the classification performances of the inspiratory and expiratory related groups were comparable, suggesting that the samples from these locations are equally informative.

    Matched MeSH terms: Asthma/physiopathology*
  4. Nabi FG, Sundaraj K, Lam CK, Palaniappan R
    J Asthma, 2020 04;57(4):353-365.
    PMID: 30810448 DOI: 10.1080/02770903.2019.1576193
    Objective: This study aimed to statistically analyze the behavior of time-frequency features in digital recordings of wheeze sounds obtained from patients with various levels of asthma severity (mild, moderate, and severe), and this analysis was based on the auscultation location and/or breath phase. Method: Segmented and validated wheeze sounds were collected from the trachea and lower lung base (LLB) of 55 asthmatic patients during tidal breathing maneuvers and grouped into nine different datasets. The quartile frequencies F25, F50, F75, F90 and F99, mean frequency (MF) and average power (AP) were computed as features, and a univariate statistical analysis was then performed to analyze the behavior of the time-frequency features. Results: All features generally showed statistical significance in most of the datasets for all severity levels [χ2 = 6.021-71.65, p asthma severity levels of patients can be identified through a set of selected features with tidal breathing, (2) tracheal wheeze sounds are more sensitive and specific predictors of severity levels and (3) inspiratory and expiratory wheeze sounds are almost equally informative.
    Matched MeSH terms: Asthma/physiopathology
  5. Sararaks S, Rugayah B, Azman AB, Karuthan C, Low LL
    Med J Malaysia, 2001 Sep;56(3):350-8.
    PMID: 11732082
    Asthma can place considerable restrictions on the physical, emotional and social aspects of the lives of patients. The assessment of quality of life aims to provide a means of measuring the impact of this disease on patients' lives, from the patients' perspective. A cross sectional multi-centre study was conducted in six government hospitals throughout the country. Self-administered SF-36 was used, and clinical information obtained through interviews and examination. 1612 asthmatics responded. Females constituted 63% of the respondents; mean age was 40.9 years; Malays were the majority ethnic group, while 70.8% had secondary level education and 53.7% were employed. Half had suffered from asthma for at least 13 years, while 46.8% and 23.6% have moderate and severe disease respectively. Quality of life was affected by severity of disease. Asthmatics, had a significantly poorer quality of life than the general US population. Severe asthma disease was associated with a compromised quality of life, similar to that of COPD.
    Matched MeSH terms: Asthma/physiopathology*
  6. Quah BS, Rogayah J
    Asian Pac J Allergy Immunol, 1997 Dec;15(4):177-82.
    PMID: 9579609
    As future health care providers medical students should acquire an adequate knowledge of bronchial asthma before graduation from medical school. The aim of this study was to assess whether knowledge about childhood asthma increased during the medical course. The 590 medical students enrolled in the School of Medical Sciences, University of Science Malaysia during the 1995/96 session were studied utilizing a validated questionnaire. There was a significant increase in the mean total scores from 11 (95% CI 10.5-11.6) in Year 1 to 23.4 (95% CI 22.9-24) in Year 5. Questions about symptoms of asthma, pathogenesis of airway narrowing during acute exacerbations, preventive and reliever medications, side effects of steroids, addiction to asthma drugs and assessment of severity revealed a progressive increase in knowledge over the five years. Among 5th year medical students 44.6% named infection and 65.1% named exercise as two common triggers of childhood asthma; only 30.1% could name two prophylactic drugs for asthma. Although the asthma knowledge of medical students increased progressively during the five year curriculum, their knowledge regarding trigger factors and preventive medications were deficient. As childhood asthma affects some 10% of Malaysian children its importance requires greater emphasis in the medical curriculum.
    Matched MeSH terms: Asthma/physiopathology*
  7. Kazemi M, Bala Krishnan M, Aik Howe T
    Iran J Allergy Asthma Immunol, 2013 Sep;12(3):236-46.
    PMID: 23893807
    In this paper, the method of differentiating asthmatic and non-asthmatic patients using the frequency analysis of capnogram signals is presented. Previously, manual study on capnogram signal has been conducted by several researchers. All past researches showed significant correlation between capnogram signals and asthmatic patients. However all of them are just manual study conducted through the conventional time domain method. In this study, the power spectral density (PSD) of capnogram signals is estimated by using Fast Fourier Transform (FFT) and Autoregressive (AR) modelling. The results show the non-asthmatic capnograms have one component in their PSD estimation, in contrast to asthmatic capnograms that have two components. Furthermore, there is a significant difference between the magnitude of the first component for both asthmatic and non-asthmatic capnograms. The effectiveness and performance of manipulating the characteristics of the first frequency component, mainly its magnitude and bandwidth, to differentiate between asthmatic and non-asthmatic conditions by means of receiver operating characteristic (ROC) curve analysis and radial basis function (RBF) neural network were shown. The output of this network is an integer prognostic index from 1 to 10 (depends on the severity of asthma) with an average good detection rate of 95.65% and an error rate of 4.34%. This developed algorithm is aspired to provide a fast and low-cost diagnostic system to help healthcare professional involved in respiratory care as it would be possible to monitor severity of asthma automatically and instantaneously.
    Matched MeSH terms: Asthma/physiopathology*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links