Displaying publications 41 - 60 of 94 in total

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  1. Lee MK, Cheng HM, Ng SC, Menaka N, Tan CT, Wang F
    Med J Malaysia, 1993 Sep;48(3):330-5.
    PMID: 8183147
    Cerebral infarction in the young is likely to be non-atheromatous. While in previous studies no cause has been found in 40% to 50% of patients, an increasing role for haemorheological factors is becoming apparent. Among these, an association between antiphospholipid antibodies (aPLs) and ischaemic cerebrovascular disease is now well-recognised. This entity has not been previously reported in Malaysian patients. In a study of 80 patients with stroke below the age of 50 years who were seen at the University Hospital, Kuala Lumpur, between January 1982 and May 1992, 3 patients with ischaemic cerebral infarction were found to have aPLs. aPLs was detected using ELISA method for anticardiolipin antibodies (aCLs), and presence of lupus anticoagulant (LA) was established by kaolin clotting time, thromboplastin inhibition test and platelet neutralisation procedure. Only 1 patient had active systemic lupus erythematous. Cerebrovascular events were recurrent in one of the 2 non-lupus patients. aPL-related stroke should be considered in young patients who have cerebral ischaemia occurring without obvious cause. More cases are likely to emerge in Malaysia with active screening.
  2. Chan CLK, Kumar J, Ong ML, Ng SC, Bongso TA, Ratnam SS
    Med J Malaysia, 1996 Dec;51(4):482-4.
    PMID: 10968039
    This is the first report in South East Asia of a singleton frozen embryo donation pregnancy for hypergonadotrophic hypogonadism. The hormonal profile was compared with that of a control group of normal uncomplicated singleton pregnancies in Singapore. The plasma beta hCG levels were lower compared to those of our normal uncomplicated singleton pregnancies at 2 to 3 weeks after the embryo transfer but became comparable at 4 to 5 weeks after embryo transfer. The successful vaginal delivery and the obstetric complications developed in this case are discussed.
  3. Goh CH, Ng SC, Kamaruzzaman SB, Chin AV, Tan MP
    Medicine (Baltimore), 2017 Oct;96(42):e8193.
    PMID: 29049203 DOI: 10.1097/MD.0000000000008193
    The aim of this study was to determine the relationship between falls and beat-to-beat blood pressure (BP) variability.Continuous noninvasive BP measurement is as accurate as invasive techniques. We evaluated beat-to-beat supine and standing BP variability (BPV) using time and frequency domain analysis from noninvasive continuous BP recordings.A total of 1218 older adults were selected. Continuous BP recordings obtained were analyzed to determine standard deviation (SD) and root mean square of real variability (RMSRV) for time domain BPV and fast-Fourier transform low frequency (LF), high frequency (HF), total power spectral density (PSD), and LF:HF ratio for frequency domain BPV.Comparisons were performed between 256 (21%) individuals with at least 1 fall in the past 12 months and nonfallers. Fallers were significantly older (P = .007), more likely to be female (P = .006), and required a longer time to complete the Timed-Up and Go test (TUG) and frailty walk test (P ≤ .001). Standing systolic BPV (SBPV) was significantly lower in fallers compared to nonfallers (SBPV-SD, P = .016; SBPV-RMSRV, P = .033; SBPV-LF, P = .003; SBPV-total PSD, P = .012). Nonfallers had significantly higher supine to standing ratio (SSR) for SBPV-SD, SBPV-RMSRV, and SBPV-total PSD (P = .017, P = .013, and P = .009). In multivariate analyses, standing BPV remained significantly lower in fallers compared to nonfallers after adjustment for age, sex, diabetes, frailty walk, and supine systolic BP. The reduction in frequency-domain SSR among fallers was attenuated by supine systolic BP, TUG, and frailty walk.In conclusion, reduced beat-to-beat BPV while standing is independently associated with increased risk of falls. Changes between supine and standing BPV are confounded by supine BP and walking speed.
  4. Abdullah RB, Liow SL, Rahman AN, Chan WK, Wan-Khadijah WE, Ng SC
    Theriogenology, 2008 Sep 15;70(5):765-71.
    PMID: 18579196 DOI: 10.1016/j.theriogenology.2008.04.052
    The objective was to evaluate the effect of the interval between ovarian hyperstimulation and laparoscopic ovum pick-up (LOPU) on quality and developmental competence of goat oocytes before and after in vitro maturation (IVM) and intracytoplasmic sperm injection (ICSI). Estrus was synchronized with an intravaginal insert containing 0.3g progesterone (CIDR) for 10d, combined with a luteolytic treatment of 125 microg cloprostenol 36 h prior to CIDR removal. Ovaries were hyperstimulated with 70 mg FSH and 500 IU hCG given im 36, 60, or 72 h prior to LOPU (n=15, 16, and 7 does, respectively). For these groups, oocyte retrieval rates (mean+/-S.E.M.) were 24.7+/-2.9, 54.5+/-4.7, and 82.8+/-4.6% (P<0.001), and the proportions of cumulus-oocyte complexes (COC) with more than five layers of cumulus cells were 29.7+/-8.3, 37.6+/-6.9, and 37.3+/-7.0% (P<0.001). The proportion of IVM oocytes was highest at 72 h (82.1+/-2.8%; P<0.05), with no significant difference between 36 and 60 h (57.3+/-8.9% and 69.0+/-8.4%). Cleavage rates of ICSI embryos were 4.2+/-4.2, 70.9+/-8.4, and 78.9+/-8.2% with LOPU 36, 60, and 72 h post FSH/hCG (P<0.01), with a lower proportion of Grade-A embryos (P<0.05) following LOPU at 36 h compared to 60 and 72 h (29.7+/-8.3%, 37.6+/-6.9%, and 37.3+/-7.0%). In summary, a prolonged interval from FSH/hCG to LOPU improved oocyte retrieval rate and oocyte quality. Therefore, under the present conditions, LOPU 60 or 72 h after FSH/hCG optimized yields of good-quality oocytes for IVM and embryo production in goats.
  5. Goh CH, Tan LK, Lovell NH, Ng SC, Tan MP, Lim E
    Comput Methods Programs Biomed, 2020 Nov;196:105596.
    PMID: 32580054 DOI: 10.1016/j.cmpb.2020.105596
    BACKGROUND AND OBJECTIVES: Continuous monitoring of physiological parameters such as photoplethysmography (PPG) has attracted increased interest due to advances in wearable sensors. However, PPG recordings are susceptible to various artifacts, and thus reducing the reliability of PPG-driven parameters, such as oxygen saturation, heart rate, blood pressure and respiration. This paper proposes a one-dimensional convolution neural network (1-D-CNN) to classify five-second PPG segments into clean or artifact-affected segments, avoiding data-dependent pulse segmentation techniques and heavy manual feature engineering.

    METHODS: Continuous raw PPG waveforms were blindly allocated into segments with an equal length (5s) without leveraging any pulse location information and were normalized with Z-score normalization methods. A 1-D-CNN was designed to automatically learn the intrinsic features of the PPG waveform, and perform the required classification. Several training hyperparameters (initial learning rate and gradient threshold) were varied to investigate the effect of these parameters on the performance of the network. Subsequently, this proposed network was trained and validated with 30 subjects, and then tested with eight subjects, with our local dataset. Moreover, two independent datasets downloaded from the PhysioNet MIMIC II database were used to evaluate the robustness of the proposed network.

    RESULTS: A 13 layer 1-D-CNN model was designed. Within our local study dataset evaluation, the proposed network achieved a testing accuracy of 94.9%. The classification accuracy of two independent datasets also achieved satisfactory accuracy of 93.8% and 86.7% respectively. Our model achieved a comparable performance with most reported works, with the potential to show good generalization as the proposed network was evaluated with multiple cohorts (overall accuracy of 94.5%).

    CONCLUSION: This paper demonstrated the feasibility and effectiveness of applying blind signal processing and deep learning techniques to PPG motion artifact detection, whereby manual feature thresholding was avoided and yet a high generalization ability was achieved.

  6. Long F, Zhao S, Wei X, Ng SC, Ni X, Chi A, et al.
    Front Behav Neurosci, 2021;15:720451.
    PMID: 34512288 DOI: 10.3389/fnbeh.2021.720451
    The EEG features of different emotions were extracted based on multi-channel and forehead channels in this study. The EEG signals of 26 subjects were collected by the emotional video evoked method. The results show that the energy ratio and differential entropy of the frequency band can be used to classify positive and negative emotions effectively, and the best effect can be achieved by using an SVM classifier. When only the forehead and forehead signals are used, the highest classification accuracy can reach 66%. When the data of all channels are used, the highest accuracy of the model can reach 82%. After channel selection, the best model of this study can be obtained. The accuracy is more than 86%.
  7. Teow YEE, Mathialagan A, Ng SC, Tee HYO, Thomas W
    J Community Health, 2021 08;46(4):645-652.
    PMID: 32778989 DOI: 10.1007/s10900-020-00908-7
    The choice to take-up specific complimentary and alternative medicine (CAM) modalities is influenced by many factors including cultural background, experience and peer-participation. In this study we investigated the beliefs and attitudes that contributed to CAM choices in a non-urban Malaysian population (N = 700). We found significant differences in the beliefs held by men and women in this population. Specifically, women believed more strongly than men that CAM providers offered healthy lifestyle advice (p = 0.042) and that those who were averse to discomfort from conventional treatments were more likely to take up CAM (p = 0.016). In addition, those individuals who chose to use CAM more strongly believed that CAM products were more healthy than conventional treatments (p = 0.002), that their effects were well understood (p = 0.002) and that CAM products worked with the body (p = 0.017). The data obtained in this study emphasize the lessons that can be learned by conventional healthcare providers in communicating the benefits of treatments to their patients. CAM users also believed that CAM products never caused harm (p = 0.007), which is a concern given that the modes of action of some CAM modalities and their interaction with prescribed treatments are not always well understood.
  8. Jusman Y, Mat Isa NA, Ng SC, Hasikin K, Abu Osman NA
    J Biomed Opt, 2016 07 01;21(7):75005.
    PMID: 27403606 DOI: 10.1117/1.JBO.21.7.075005
    Fourier transform infrared (FTIR) spectroscopy technique can detect the abnormality of a cervical cell that occurs before the morphological change could be observed under the light microscope as employed in conventional techniques. This paper presents developed features extraction for an automated screening system for cervical precancerous cell based on the FTIR spectroscopy as a second opinion to pathologists. The automated system generally consists of the developed features extraction and classification stages. Signal processing techniques are used in the features extraction stage. Then, discriminant analysis and principal component analysis are employed to select dominant features for the classification process. The datasets of the cervical precancerous cells obtained from the feature selection process are classified using a hybrid multilayered perceptron network. The proposed system achieved 92% accuracy.
  9. Lim MC, Hatah E, Lai KC, Buang A, Koay TJ, Sim WJY, et al.
    Patient Prefer Adherence, 2022;16:3133-3142.
    PMID: 36471869 DOI: 10.2147/PPA.S382341
    PURPOSE: Previous studies show that customer loyalty and purchase intentions were influenced by perceived product value, but little is known about the factors that influence patients' perceptions of the value of their subsidized prescriptions, when purchasing of medications were not required, and how these factors influence their medication adherence. Hence, this study aims to investigate perceptions of patients receiving subsidized medications regarding the value of their medication.

    PATIENTS AND METHODS: This qualitative study involved semi-structured, face-to-face interviews with patients diagnosed with type 2 diabetes mellitus at a government district hospital in Selangor state, Malaysia between June to September 2019. Using purposive sampling, patients were identified at an out-patient pharmacy during prescription refill. They were asked how they perceived the value of their medication. Interviews were audio recorded and then transcribed verbatim for thematic analysis.

    RESULTS: A total of thirty patients were interviewed. Patients' perceptions on the value of medications were influenced by several factors such as trust, how the medications impact on their physical and social well-beings, and the perceived sacrificed made when the medications were procured and used. Perceptions on medication values were influenced by the recommendation received from someone they trust such as their doctors or significant others. It was also influenced by their perceptions of how the medication helps to improve their disease symptoms and affect their religious and social activities. Other factors include the perceived worth of the sacrifices made to access and use the medication.

    CONCLUSION: Identifying factors that may influence patients' perceived value of the medication may help improve healthcare practices.

  10. Goh CH, Wong KK, Tan MP, Ng SC, Chuah YD, Kwan BH
    PLoS One, 2022;17(11):e0277966.
    PMID: 36441703 DOI: 10.1371/journal.pone.0277966
    Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts.
  11. Ten SK, Khor MK, Khalid H, Lin HP, Ng SC, Cheong SK, et al.
    Singapore Med J, 1992 Apr;33(2):164-6.
    PMID: 1621121
    The haematological findings and case history of 3 patients with the association of acute myeloid leukemia and translocation involving the long arm of chromosome no. 11 are presented. The recipient chromosome for the translocated material from chromosome 11 differs in all the three cases being namely chromosomes 1, 10 and 17.
  12. Ng SC, Hilmi IN, Blake A, Bhayat F, Adsul S, Khan QR, et al.
    Inflamm Bowel Dis, 2018 Oct 12;24(11):2431-2441.
    PMID: 30312414 DOI: 10.1093/ibd/izy153
    BACKGROUND: Vedolizumab (ENTYVIO) is a humanized α4β7 integrin antagonist approved for the treatment of inflammatory bowel disease, which selectively blocks gut-specific lymphocyte trafficking. We evaluated the risk of opportunistic infections of interest in patients treated with vedolizumab.

    METHODS: We determined the frequency of opportunistic infections and tuberculosis in patients receiving vedolizumab in phase 3 clinical trials and post-marketing settings. We also evaluated adverse events reported in the post-marketing setting in patients with a history of or concurrent hepatitis B/C virus infection.

    RESULTS: The incidence of opportunistic infections in patients receiving vedolizumab was 0.7 (GEMINI 1 and 2 clinical trials) and 1.0 (long-term safety study) per 100 patient-years, with 217 events reported in approximately 114,071 patient-years of exposure (post-marketing setting). Most opportunistic infections were nonserious and the majority of patients continued treatment with vedolizumab. Clostridium difficile was the most commonly reported infection, with an incidence rate of 0.5 per 100 patient-years (clinical trials). Tuberculosis was reported at 0.1 per 100 patient-years (clinical trials), with 7 events in the post-marketing setting. No tuberculosis-related deaths were reported in either setting. No cases of progressive multifocal leukoencephalopathy were reported. In 29 patients with a history of or concurrent hepatitis B/C infection in the post-marketing setting, no viral reactivation was observed.

    CONCLUSIONS: Clinical trials and post-marketing data showed that the rate of serious opportunistic infections in patients receiving vedolizumab was low and most patients could continue vedolizumab treatment. The frequency of tuberculosis infection was also low and no hepatitis B/C viral reactivation was reported.

  13. Chen NQ, Si CR, Yung SC, Hon SK, Arasoo J, Ng SC
    Singapore Med J, 2024 Feb 16.
    PMID: 38363646 DOI: 10.4103/singaporemedj.SMJ-2021-200
    INTRODUCTION: Does euploidy of trophectoderm (TE) biopsies correlate with conventional blastocyst morphological, maternal age and implantation potential?

    METHODS: This is a one-centre, retrospective, observational study.

    RESULTS: Eight hundred and ninety-three blastocysts were biopsied; 57.73% were euploid. The euploidy rate was found to be significantly higher for the embryos with good morphology of inner cell mass (ICM) and TE. Between ICM and TE morphology variables, TE was more predictive of the euploidy rate. When broken down into different age groups, the percentage of good morphology embryos remained similar across all age groups, while the percentage of euploid embryos dropped with increasing age. These results suggest that the correlation between blastocyst morphology and ploidy status was present but poor. Faster growing day 5 blastocysts showed a significantly higher euploidy rate than slower growing day 6 or 7 blastocysts. The number of good-quality blastocysts per cycle, euploid blastocysts per cycle and the euploidy rate were strongly associated with maternal age. A trend towards an increased implantation rate was found with euploid embryo transfers compared to the control group without preimplantation genetic test for aneuploidies (PGT-A).

    CONCLUSIONS: Blastocyst morphology, rate of development and maternal age were found to be significantly associated with euploidy rate. There is a trend that suggests PGT-A may help to improve the pregnancy rate, but it is not statistically different, and therefore, PGT-A remains an unproven hypothesis. Due to the limitation of a small size of the control group, further studies with more data are needed.

  14. Lim E, Chan GS, Dokos S, Ng SC, Latif LA, Vandenberghe S, et al.
    PLoS One, 2013;8(10):e77357.
    PMID: 24204817 DOI: 10.1371/journal.pone.0077357
    A lumped parameter model of the cardiovascular system has been developed and optimized using experimental data obtained from 13 healthy subjects during graded head-up tilt (HUT) from the supine position to [Formula: see text]. The model includes descriptions of the left and right heart, direct ventricular interaction through the septum and pericardium, the systemic and pulmonary circulations, nonlinear pressure volume relationship of the lower body compartment, arterial and cardiopulmonary baroreceptors, as well as autoregulatory mechanisms. A number of important features, including the separate effects of arterial and cardiopulmonary baroreflexes, and autoregulation in the lower body, as well as diastolic ventricular interaction through the pericardium have been included and tested for their significance. Furthermore, the individual effect of parameter associated with heart failure, including LV and RV contractility, baseline systemic vascular resistance, pulmonary vascular resistance, total blood volume, LV diastolic stiffness and reflex gain on HUT response have also been investigated. Our fitted model compares favorably with our experimental measurements and published literature at a range of tilt angles, in terms of both global and regional hemodynamic variables. Compared to the normal condition, a simulated congestive heart failure condition produced a blunted response to HUT with regards to the percentage changes in cardiac output, stroke volume, end diastolic volume and effector response (i.e., heart contractility, venous unstressed volume, systemic vascular resistance and heart rate) with progressive tilting.
  15. Goh CH, Ng SC, Kamaruzzaman SB, Chin AV, Poi PJ, Chee KH, et al.
    Medicine (Baltimore), 2016 May;95(19):e3614.
    PMID: 27175670 DOI: 10.1097/MD.0000000000003614
    To evaluate the utility of blood pressure variability (BPV) calculated using previously published and newly introduced indices using the variables falls and age as comparators.While postural hypotension has long been considered a risk factor for falls, there is currently no documented evidence on the relationship between BPV and falls.A case-controlled study involving 25 fallers and 25 nonfallers was conducted. Systolic (SBPV) and diastolic blood pressure variability (DBPV) were assessed using 5 indices: standard deviation (SD), standard deviation of most stable continuous 120 beats (staSD), average real variability (ARV), root mean square of real variability (RMSRV), and standard deviation of real variability (SDRV). Continuous beat-to-beat blood pressure was recorded during 10 minutes' supine rest and 3 minutes' standing.Standing SBPV was significantly higher than supine SBPV using 4 indices in both groups. The standing-to-supine-BPV ratio (SSR) was then computed for each subject (staSD, ARV, RMSRV, and SDRV). Standing-to-supine ratio for SBPV was significantly higher among fallers compared to nonfallers using RMSRV and SDRV (P = 0.034 and P = 0.025). Using linear discriminant analysis (LDA), 3 indices (ARV, RMSRV, and SDRV) of SSR SBPV provided accuracies of 61.6%, 61.2%, and 60.0% for the prediction of falls which is comparable with timed-up and go (TUG), 64.4%.This study suggests that SSR SBPV using RMSRV and SDRV is a potential predictor for falls among older patients, and deserves further evaluation in larger prospective studies.
  16. Anuar NA, Tey KWF, Ng SC, Teh AKH, Abdul Rahman MHF, Chong BP, et al.
    Int J Clin Pract, 2021 Mar;75(3):e13823.
    PMID: 33202073 DOI: 10.1111/ijcp.13823
    AIM: To retrospectively report the clinical outcomes of non-Hodgkin's Lymphoma (NHL) patients post high dose therapy (HDT) with autologous haematopoietic stem cell transplant (AHSCT) and determine whether upfront transplant, which is a first-line consolidative treatment with induction chemotherapy, would be a feasible modality in a resource-limited country.

    METHODS: The medical records for NHL patients who had undergone HDT followed by AHSCT from October 1997 to November 2016 from two hospitals in Klang Valley, Malaysia were obtained from the medical record database and analysed retrospectively through statistical analysis.

    RESULTS: A total of 148 patients were retrospectively identified post-AHSCT, where the majority of whom had B cell lymphoma (53.4%). Majority of patients (88.5%) were in complete remission before AHSCT. The overall survival (OS) and event-free survival (EFS) at 3 years were 68.9% and 60.8%, respectively. The major cause of death was disease progression at 73.9%, while transplant-related mortality was 15.2%, with a median follow-up period of 179.5 weeks.

    CONCLUSION: Our study illustrates the promising outcomes of HDT with AHSCT in NHL patients in a resource-limited country. We recommend larger studies to be conducted in the future with a longer duration of follow-up to validate our findings.

  17. Cheok LH, Tang ASO, Desmond S, Wong YL, Cheong YK, Ng SC, et al.
    IDCases, 2021;26:e01255.
    PMID: 34458097 DOI: 10.1016/j.idcr.2021.e01255
    Central nervous system melioidosis is an uncommon presentation of melioidosis infection. We report a case of a disseminated melioidosis infection with central nervous system, pulmonary, spleen, bone and cutaneous involvement in a patient with underlying systemic lupus erythematous. The diagnosis was confirmed based on positive blood and cerebrospinal fluid cultures coupled with radiological findings. Agriculture contact and underlying immunocompromised state were the predisposing risk factors for melioidosis infection in this case. Our patient was successfully treated with 10 weeks of intensive antibiotics therapy and 1 year of eradication antibiotics therapy with significant clinical and radiological improvement.
  18. Lim PK, Ng SC, Lovell NH, Yu YP, Tan MP, McCombie D, et al.
    Physiol Meas, 2018 10 11;39(10):105005.
    PMID: 30183675 DOI: 10.1088/1361-6579/aadf1e
    OBJECTIVE: The photoplethysmography (PPG) signal, commonly used in the healthcare settings, is easily affected by movement artefact leading to errors in the extracted heart rate and SpO2 estimates. This study aims to develop an online artefact detection system based on adaptive (dynamic) template matching, suitable for continuous PPG monitoring during daily living activities or in the intensive care units (ICUs).

    APPROACH: Several master templates are initially generated by applying principal component analysis to data obtained from the PhysioNet MIMIC II database. The master template is then updated with each incoming clean PPG pulse. The correlation coefficient is used to classify the PPG pulse into either good or bad quality categories. The performance of our algorithm was evaluated using data obtained from two different sources: (i) our own data collected from 19 healthy subjects using the wearable Sotera Visi Mobile system (Sotera Wireless Inc.) as they performed various movement types; and (ii) ICU data provided by the PhysioNet MIMIC II database. The developed algorithm was evaluated against a manually annotated 'gold standard' (GS).

    MAIN RESULTS: Our algorithm achieved an overall accuracy of 91.5%  ±  2.9%, with a sensitivity of 94.1%  ±  2.7% and a specificity of 89.7%  ±  5.1%, when tested on our own data. When applying the algorithm to data from the PhysioNet MIMIC II database, it achieved an accuracy of 98.0%, with a sensitivity and specificity of 99.0% and 96.1%, respectively.

    SIGNIFICANCE: The proposed method is simple and robust against individual variations in the PPG characteristics, thus making it suitable for a diverse range of datasets. Integration of the proposed artefact detection technique into remote monitoring devices could enhance reliability of the PPG-derived physiological parameters.

  19. Ng SC, Tsoi KK, Kamm MA, Xia B, Wu J, Chan FK, et al.
    Inflamm Bowel Dis, 2012 Jun;18(6):1164-76.
    PMID: 21887729 DOI: 10.1002/ibd.21845
    BACKGROUND: Inflammatory bowel diseases (IBD) result from an interaction between genetic and environmental factors. Preliminary findings suggest that susceptibility genes differ between IBD patients in Asia and the West. We aimed to evaluate disease-predisposing genes in Asian IBD patients.

    METHODS: A systematic review and meta-analysis were performed of published studies from 1950 to 2010 using keyword searches in MEDLINE, EMBASE, EBM Reviews, and BIOSIS Previews.

    RESULTS: In all, 477 abstracts were identified and data extracted from 93 studies, comprising 17,976 IBD patients and 27,350 age- and sex-matched controls. Major nucleotide oligomerization domain (NOD)-2 variants in Western Crohn's disease (CD) patients were not associated with CD in Han Chinese, Japanese, South Korean, Indian, and Malaysian populations. New NOD2 mutations were, however, associated with CD in Malaysians (JW1), Han Chinese, and Indians (P268S). Autophagy-related protein 16-linked 1 (ATG16L1) was not associated with CD in East Asians (odds ratio [OR] 0.97; 95% confidence interval [CI] 0.84-1.13). Interleukin (IL)-23R was associated with CD in South Koreans (OR 1.8; 95% CI 1.16-2.82) and a single nucleotide polymorphism in IL-23R (Gly149Arg) was protective of CD in Han Chinese (OR 0.3; 95% CI 0.15-0.60). Tumor necrosis factor (TNF) superfamily gene-15 (SF15) polymorphisms were associated with CD (OR 2.68; 95% CI 1.86-3.86), while TNF-308 polymorphisms (OR 1.82; 95% CI 1.15-2.9), cytotoxic T lymphocyte antigen (CTLA)-4 (OR 2.75; 95% CI 1.22-6.22) and MICA allele (OR 2.41; 95% CI 1.89-3.07) were associated with ulcerative colitis in Asians.

    CONCLUSIONS: Genetic mutations of IBD in Asians differ from Caucasians. New mutations and susceptibility genes identified in Asian IBD patients provide an opportunity to explore new disease-associated mechanisms in this population of rising incidence.

  20. Lim PK, Ng SC, Jassim WA, Redmond SJ, Zilany M, Avolio A, et al.
    Sensors (Basel), 2015 Jun 16;15(6):14142-61.
    PMID: 26087370 DOI: 10.3390/s150614142
    We present a novel approach to improve the estimation of systolic (SBP) and diastolic blood pressure (DBP) from oscillometric waveform data using variable characteristic ratios between SBP and DBP with mean arterial pressure (MAP). This was verified in 25 healthy subjects, aged 28 ± 5 years. The multiple linear regression (MLR) and support vector regression (SVR) models were used to examine the relationship between the SBP and the DBP ratio with ten features extracted from the oscillometric waveform envelope (OWE). An automatic algorithm based on relative changes in the cuff pressure and neighbouring oscillometric pulses was proposed to remove outlier points caused by movement artifacts. Substantial reduction in the mean and standard deviation of the blood pressure estimation errors were obtained upon artifact removal. Using the sequential forward floating selection (SFFS) approach, we were able to achieve a significant reduction in the mean and standard deviation of differences between the estimated SBP values and the reference scoring (MLR: mean ± SD = -0.3 ± 5.8 mmHg; SVR and -0.6 ± 5.4 mmHg) with only two features, i.e., Ratio2 and Area3, as compared to the conventional maximum amplitude algorithm (MAA) method (mean ± SD = -1.6 ± 8.6 mmHg). Comparing the performance of both MLR and SVR models, our results showed that the MLR model was able to achieve comparable performance to that of the SVR model despite its simplicity.
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