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Trichomonas vaginalis infection in a low-risk women attended in Obstetrics and Gynaecology Clinic, Universiti Kebangsaan Malaysia Medical Centre

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Asian Pacific Journal of Tropical Biomedicine 2016年第8期6卷 702-705页

作者： Norhayati Moktar Nor Liyana Ismail Phoy Cheng Chun Mohamad Asyrab Sapie Nor Farahin Abdul Kahar yusof suboh Noraina Abdul Rahim Nor Azlin Mohamed Ismail Tengku Shahrul Anuar Department of Parasitology and Medical Entomology Universiti Kebangsaan Malaysia Medical Centre Department of Obstetrics and Gynaecology Universiti Kebangsaan Malaysia Medical Centre Department of Medical Laboratory Technology Faculty of Health Sciences Universiti Teknologi MARAPuncak Alam Campus

Objective: To investigate the presence of trichomoniasis among women attending the Obstetrics and Gynaecology Clinic, Universiti Kebangsaan Malaysia Medical ***: A total of 139 high vaginal swabs were taken from the subjects and sent to the laboratory in Amies gel transport media. The specimens were examined for the presence of Trichomonas vaginalis using wet mount, Giemsa staining and cultured in Diamond's medium. Sociodemographic characteristics and gynaecological complaints were obtained in private using structured questionnaire applied by one ***: The median age was 32 years, with an interquartile interval of 9.96. Most of the subjects were Malays(76.9%) and the remaining were Chinese(15.1%), Indians(2.2%)and other ethnic groups(5.8%). One hundred and thirty eight(99.3%) of the women were married and 98.6% had less than 6 children. More than half(75.5%) of the women's last child birth was less than 6 years ago. Forty seven percent of them were involved in supporting administrative work and 64.7% of the women gave a history of previous or current vaginal ***: The present study reported zero incidence rate of trichomoniasis. The low incidence rate was postulated due to all women who participated in this study were categorized into a low-risk group.

关键词： Trichomoniasis Incidence rate Wet mount Giemsa staining Culture

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Cardiovascular Disease Prediction Among the Malaysian Cohort Participants Using Electrocardiogram

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Computers, Materials & Continua 2022年第4期71卷 1111-1132页

作者： Mohd Zubir suboh Nazrul Anuar Nayan Noraidatulakma Abdullah Nurul Ain Mhd yusof Mariatul Akma Hamid Azwa Shawani Kamalul Arinfin Syakila Mohd Abd Daud Mohd Arman Kamaruddin Rosmina Jaafar Rahman Jamal Faculty of Engineering and Built Environment Universiti Kebangsaan MalaysiaBangi43600Malaysia Medical Engineering Technology Section Universiti Kuala Lumpur British Malaysian InstituteGombak53100Malaysia Institut Islam Hadhari Universiti Kebangsaan MalaysiaBangi43600Malaysia UKM Medical Molecular Biology Institute(UMBI) Kuala Lumpur56000Malaysia Faculty of Health Sciences Universiti Kebangsaan MalaysiaBangi43600Malaysia

A comprehensive study was conducted to differentiate cardiovascular disease (CVD) subjects from non-CVD subjects using short recording electrocardiogram (ECG) of 244 Malaysian adults in The MalaysianCohort project. An automated peak detection algorithm to detect nine fiducialpoints of electrocardiogram (ECG) was developed. Forty-eight features wereextracted in both time and frequency domains, including statistical featuresobtained from heart rate variability and Poincare plot analysis. These includefive new features derived from spectrum counts of five different frequencyranges. Feature selection was then made based on p-value and correlationmatrix. Selected features were used as input for five classifiers of artificialneural network (ANN), k-nearest neighbors (kNN), support vector machine(SVM), discriminant analysis (DA), and decision tree (DT). Results showedthat six features related to T wave were statistically significant in distinguishingCVD and non-CVD groups. ANN had performed the best with 94.44% specificity and 86.3% accuracy, followed by kNN with 80.56% specificity, 86.49%sensitivity and 83.56% accuracy. The novelties of this study were in providingalternative solutions to detect P-onset, P-offset, T-offset as well as QRS-onsetpoints using discrete wavelet transform method. Additionally, two out of thefive newly proposed spectral features were significant in differentiating bothgroups, at frequency ranges of 1–10 Hz and 5–10 Hz. The prediction outcomeswere also comparable to previous related studies and significantly importantin using ECG to predict cardiac-related events among CVD and non-CVDsubjects in the Malaysian population.

关键词： Cardiovascular disease ECG fiducial point detection electrocardiogram feature extraction machine learning

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Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

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Computers, Materials & Continua 2022年第4期71卷 287-304页

作者： Hafifah Ab Hamid Nazrul Anuar Nayan Mohd Zubir suboh Nurin Izzati Mohamad Azizul Mohamad Nazhan Mohd Nizar Amilia Aminuddin Mohd Shahrir Mohamed Said Saharuddin Ahmad Department of Electrical Electronic and SystemsFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Physiology Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia Department of Medicine Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia Family Medicine Department Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia

Hyperuricemia is an alarming issue that contributes to cardiovascular *** acid(UA)level was proven to be related to pulse wave velocity,a marker of arterial stiffness.A hyperuricemia prediction method utilizing photoplethysmogram(PPG)and arteriograph by using machine learning(ML)is *** the literature search,there is no available papers found that relates PPG with UA level even though PPG is highly associated with vessel *** five phases in this research are data collection,signal preprocessing including denoising and signal quality indexes,features extraction for PPG and SDPPG waveform,statistical analysis for feature selection and classification of UA levels using *** PPG to the current arteriograph able to reduce cost and increase the prediction *** and arteriograph data were measured from 113 subjects,and 226 sets of data were collected from the left and right hands of the *** performance of four types of ML,namely,artificial neural network(ANN),linear discriminant analysis(LDA),k-nearest neighbor(kNN),and support vector machine(SVM)in predicting hyperuricemia was *** the total of 98 features extracted,16 features of which showed statistical significance for hyper and *** gives the best performance compared to the other three ML techniques with 91.67%,95.45%,and 94.12%for sensitivity,specificity,and accuracy,*** from PPG and arteriograph able to be used to predict hyperuricemia accurately and *** study is the first to find the relationship of PPG with *** shows a significant relation between PPG signals and arteriograph data toward the UA *** proposed method of UA prediction shows its potential for noninvasive preliminary assessment.

关键词： PPG arteriograph second derivative of PPG hyperuricemia ML

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Structure-activity relationships regarding the antioxidant effects of the flavonoids on human erythrocytes

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Natural Science 2012年第9期4卷 740-747页

作者： Yousif Y. Bilto Sanaa suboh Talal Aburjai Shtywy Abdalla Department of Biological Sciences University of Jordan Amman Jordan Faculty of Pharmacy University of Jordan Amman Jordan

The effects of eleven flavonoids on lipid peroxidation, protein degradation, deformability and osmotic fragility of human erythrocytes exposed in vitro to 10 mM H2O2 for 60 min at 37 oC have been studied. The following flavonoids;quercetin, rutin and morin significantly protected eryt-hrocytes against lipid peroxidation caused by H2O2. This inhibition of lipid peroxidation could be explained by the presence of at least two hydroxyl groups in ring B of the flavonoid structure, regardless of their positions. However, the flavonoids;quercetin, 3,5,7-trihy- droxy-4'-methoxy flavone-7-rutinoside and 3- hydroxy flavone significantly protected eryt-hrocytes against protein degradation. This inhibition could also be explained by the presence of a hydroxyl group at C-3 in ring C of the flavonoid structure. Quercetin and 3,5,7-trihydroxy-4'- methoxy flvone-7-rutinoside significantly protected erythrocytes against loss of deformability and increased osmotic fragility, indicating that the loss of erythrocyte deformability and the increase in osmotic fragility of erythrocytes exposed to H2O2 are related to protein degradation rather than to lipid peroxidation. The other flavonoids (chrysin, 2-carboxy ethyl dihydroxy flavone, apigenin, cirsimaritin, α-naphto flavone and flavanone) failed to protect erythrocytes against the observed oxidative damages. The results demonstrate the importance of the chemical groups substituted on the basic skeleton of the flavonoids in dictating the type of antioxidant activity, and also demonstrate the hemorheological potentials of flavonoids that have particular protein-antioxidant activities.

关键词： Erythrocyte Deformability Lipid Peroxidation Protein Degradation Oxidative Stress H2O2 Flavonoids Structure-Activity Relationships

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