Displaying publications 1 - 20 of 106 in total

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  1. GLASER EM
    Med J Malaya, 1963 Mar;17:209-23.
    PMID: 13948353
    Matched MeSH terms: Heart Diseases*
  2. LLEWELLYN-JONES D
    Med J Malaya, 1958 Sep;13(1):11-3.
    PMID: 13589363
    Matched MeSH terms: Heart Diseases*
  3. Monteiro ES
    Matched MeSH terms: Heart Diseases
  4. Lim BC, Kueh YC, Arifin WN, Ng KH
    Malays J Med Sci, 2016 Jul;23(4):33-45.
    PMID: 27660543 MyJurnal DOI: 10.21315/mjms2016.23.4.5
    Heart disease knowledge is an important concept for health education, yet there is lack of evidence on proper validated instruments used to measure levels of heart disease knowledge in the Malaysian context.
    Matched MeSH terms: Heart Diseases
  5. Sidek Nontak MA
    Med J Malaysia, 1981 Mar;36(1):52-7.
    PMID: 7321939
    Matched MeSH terms: Heart Diseases/diagnosis*
  6. Chuah SH, Md Sari NA, Chew BT, Tan LK, Chiam YK, Chan BT, et al.
    Phys Med, 2020 Oct;78:137-149.
    PMID: 33007738 DOI: 10.1016/j.ejmp.2020.08.022
    Differential diagnosis of hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) is clinically challenging but important for treatment management. This study aims to phenotype HHD and HCM in 3D + time domain by using a multiparametric motion-corrected personalized modeling algorithm and cardiac magnetic resonance (CMR). 44 CMR data, including 12 healthy, 16 HHD and 16 HCM cases, were examined. Multiple CMR phenotype data consisting of geometric and dynamic variables were extracted globally and regionally from the models over a full cardiac cycle for comparison against healthy models and clinical reports. Statistical classifications were used to identify the distinctive characteristics and disease subtypes with overlapping functional data, providing insights into the challenges for differential diagnosis of both types of disease. While HCM is characterized by localized extreme hypertrophy of the LV, wall thickening/contraction/strain was found to be normal and in sync, though it was occasionally exaggerated at normotrophic/less severely hypertrophic regions during systole to preserve the overall ejection fraction (EF) and systolic functionality. Additionally, we observed that hypertrophy in HHD could also be localized, although at less extreme conditions (i.e. more concentric). While fibrosis occurs mostly in those HCM cases with aortic obstruction, only minority of HHD patients were found affected by fibrosis. We demonstrate that subgroups of HHD (i.e. preserved and reduced EF: HHDpEF & HHDrEF) have different 3D + time CMR characteristics. While HHDpEF has cardiac functions in normal range, dilation and heart failure are indicated in HHDrEF as reflected by low LV wall thickening/contraction/strain and synchrony, as well as much reduced EF.
    Matched MeSH terms: Heart Diseases*
  7. Khaira BS
    Med J Malaya, 1956 Mar;10(3):264-6.
    PMID: 13347458
    Matched MeSH terms: Heart Diseases*
  8. Chowdhury MEH, Khandakar A, Alzoubi K, Mansoor S, M Tahir A, Reaz MBI, et al.
    Sensors (Basel), 2019 Jun 20;19(12).
    PMID: 31226869 DOI: 10.3390/s19122781
    One of the major causes of death all over the world is heart disease or cardiac dysfunction. These diseases could be identified easily with the variations in the sound produced due to the heart activity. These sophisticated auscultations need important clinical experience and concentrated listening skills. Therefore, there is an unmet need for a portable system for the early detection of cardiac illnesses. This paper proposes a prototype model of a smart digital-stethoscope system to monitor patient's heart sounds and diagnose any abnormality in a real-time manner. This system consists of two subsystems that communicate wirelessly using Bluetooth low energy technology: A portable digital stethoscope subsystem, and a computer-based decision-making subsystem. The portable subsystem captures the heart sounds of the patient, filters and digitizes, and sends the captured heart sounds to a personal computer wirelessly to visualize the heart sounds and for further processing to make a decision if the heart sounds are normal or abnormal. Twenty-seven t-domain, f-domain, and Mel frequency cepstral coefficients (MFCC) features were used to train a public database to identify the best-performing algorithm for classifying abnormal and normal heart sound (HS). The hyper parameter optimization, along with and without a feature reduction method, was tested to improve accuracy. The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.
    Matched MeSH terms: Heart Diseases/diagnosis*; Heart Diseases/physiopathology
  9. Sundar VV, Sehu Allavudin SF, Easaw MEPM
    Clin Nutr ESPEN, 2021 06;43:353-359.
    PMID: 34024540 DOI: 10.1016/j.clnesp.2021.03.024
    BACKGROUND & AIMS: Inadequate nutrition delivery in critically ill children has shown associated with poor clinical outcomes. Therefore, identifying barriers to deliver adequate nutrition is vital. The aim of this study was to identify factors influencing adequate protein and energy delivery among critically ill children with heart disease in pediatric intensive care unit (PICU).

    METHODS: This single-centre prospective study, involved children aged from birth to 3 years old, admitted to PICU longer than 72 hours. They received either enteral nutrition (EN) or combination of EN and partial parenteral nutrition (PPN). Clinical and nutrition delivery characteristics were recorded from admission until transferred out of PICU. Multiple regression analysis at significant level p heart disease in PICU. Strategies to improve the nutrition delivery in this group of patients should be outlined and implemented by the dietitians along with multidisciplinary team.

    Matched MeSH terms: Heart Diseases*
  10. Loncin H
    Med J Malaya, 1965 Jun;19(4):321-3.
    PMID: 4220862
    Matched MeSH terms: Heart Diseases/epidemiology*
  11. Wei W, Tang Y, He H, Gopinath SCB, Wang L
    Biotechnol Appl Biochem, 2022 Feb;69(1):160-165.
    PMID: 33369762 DOI: 10.1002/bab.2092
    Acute myocardial infarction (AMI) is the heart attack happening when the blood flow is terminated to the heart muscles. C-reactive protein (CRP) level is raising significantly in AMI patients after the onset of symptom; also, temporal variations of CRP in plasma of AMI patient have also been found. Quantifying the concentration of CRP helps to identify the condition associated with AMI. Plasmonic enzyme-linked immunosorbent assay (ELISA) was utilized here to identify CRP by the sandwich of aptamer and antibody. Bare-eye CRP detection was achieved by plasmonic ELISA through the aggregation (blue color) of gold nanoparticle in the presence of CRP, whereas in the absence of CRP, it retains its red color (dispersion). Depending on the catalase presence on the ELISA surface, hydrogen peroxide (H2 O2 ) controls gold growth and differentiates with color changes. To achieve the lowest detection limit of CRP, H2 O2 (200 µM), gold seed (0.2 µM), and streptavidin-catalase (1:500) were found optimal. The detection limit was reached at 0.25 µg/mL, whereas it was 0.5 µg/mL in the CRP-spiked serum. This method of detection system is easier to detect the levels of CRP and helps diagnosing AMI.
    Matched MeSH terms: Heart Diseases*
  12. Zheleva B, Verstappen A, Overman DM, Ahmad F, Ali SKM, Al Halees ZY, et al.
    Cardiol Young, 2023 Aug;33(8):1277-1287.
    PMID: 37615116 DOI: 10.1017/S1047951123002688
    The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery (WCPCCS) will be held in Washington DC, USA, from Saturday, 26 August, 2023 to Friday, 1 September, 2023, inclusive. The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery will be the largest and most comprehensive scientific meeting dedicated to paediatric and congenital cardiac care ever held. At the time of the writing of this manuscript, The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery has 5,037 registered attendees (and rising) from 117 countries, a truly diverse and international faculty of over 925 individuals from 89 countries, over 2,000 individual abstracts and poster presenters from 101 countries, and a Best Abstract Competition featuring 153 oral abstracts from 34 countries. For information about the Eighth World Congress of Pediatric Cardiology and Cardiac Surgery, please visit the following website: [www.WCPCCS2023.org]. The purpose of this manuscript is to review the activities related to global health and advocacy that will occur at the Eighth World Congress of Pediatric Cardiology and Cardiac Surgery.Acknowledging the need for urgent change, we wanted to take the opportunity to bring a common voice to the global community and issue the Washington DC WCPCCS Call to Action on Addressing the Global Burden of Pediatric and Congenital Heart Diseases. A copy of this Washington DC WCPCCS Call to Action is provided in the Appendix of this manuscript. This Washington DC WCPCCS Call to Action is an initiative aimed at increasing awareness of the global burden, promoting the development of sustainable care systems, and improving access to high quality and equitable healthcare for children with heart disease as well as adults with congenital heart disease worldwide.
    Matched MeSH terms: Heart Diseases*
  13. Ong ML, Hatle LK, Lai VM, Bosco J
    Int J Clin Pract, 2002 Jun;56(5):345-8.
    PMID: 12137442
    Iron deposition in the heart occurs in beta-thalassaemia major and contributes to cardiac dysfunction. Eighteen patients with beta-thalassaemia major were assessed clinically and had non-invasive investigations. They were young (15.5 +/- 3.6 years). Two patients had clinical heart failure. Doppler echocardiography demonstrated higher transmitral peak flow velocity in early and late diastole compared with controls (e: p<0.05, a: p<0.01). Transtricuspid peak late diastolic flow velocity was higher in patients (p<0.005). Isovolumic relaxation time was shortened (p<0.001). Pulmonary venous flow velocity was higher in diastole than systole (S: 0.51 +/- 0.11 m/s, D: 0.62 +/- 0.08 m/s). Reversal of pulmonary venous flow during atrial systole was seen in eight patients. These diastolic filling abnormalities did not significantly change with blood transfusion. Left ventricular ejection fraction was normal in patients. Two patients had cardiomegaly on chest X-ray. In beta-thalassaemia with iron overload, there is a restrictive pattern of diastolic dysfunction. This is not altered by recent blood transfusion. Left ventricular function remains relatively intact.
    Matched MeSH terms: Heart Diseases/etiology*; Heart Diseases/physiopathology; Heart Diseases/ultrasonography
  14. Selvaratnam G, Philips RH, Mohamed AK
    Adverse Drug React Toxicol Rev, 1999 Jun;18(2):61-105.
    PMID: 10478286
    Matched MeSH terms: Heart Diseases/chemically induced*; Heart Diseases/diagnosis; Heart Diseases/prevention & control
  15. Wong PS
    Med J Malaysia, 1999 Dec;54(4):523-5.
    PMID: 11072475
    Pericardial rupture after blunt chest trauma is described in the literature. This case report summarises our experience with a 22-year old male patient who suffered blunt chest trauma during a motor vehicle accident. On admission no serious injuries could be detected, but 3 hours later, displacement of the heart to the right hemithorax combined with sudden cardiac failure appeared. Emergency thoracotomy revealed a right-sided rupture of the pericardium with complete herniation of the heart into the right pleural cavity and consequent strangulation by the margins of the pericardial defect.
    Matched MeSH terms: Heart Diseases/etiology*; Heart Diseases/radiography; Heart Diseases/surgery
  16. Saw HS, Chong KT, Singham AM
    Ann Acad Med Singap, 1981 Oct;10(4 Suppl):93-8.
    PMID: 7344608
    Updated data on permanent cardiac pacing in Malaysia is presented. Over the past 3 1/2 years (1976-1980), 75 patients underwent insertion of pacemakers giving an annual incidence of about 20 cases as compared with a total of 21 cases in the previous 8 years (1968-1977). Many of the features reported in an earlier paper in 1977 viz mode of presentation, age and sex distribution and indications for pacing remain unchanged. Over this period only 4 patients required lead replacement. Since concentrating mainly on the use of epicardial leads implanted via a subxiphoid approach, complications have been remarkably low. The problem of availability of pacemakers has been averted. Cost remains a major consideration when recommending one pacemaker in preference over another. The details concerning clinical features, indications for pacing, complications and other problems encountered in the management of these patients are discussed.
    Matched MeSH terms: Heart Diseases/mortality; Heart Diseases/epidemiology; Heart Diseases/therapy*
  17. Roslan A, Kamsani SH, Nay TW, Tan KL, Hakim N, Tan AM, et al.
    Med J Malaysia, 2018 12;73(6):388-392.
    PMID: 30647209
    OBJECTIVE: Cardiac amyloidosis is under diagnosed and its prevalence is unknown. This is a retrospective, nonrandomised, single centre study of patients with endomyocardial biopsy-proven cardiac amyloidosis focusing on their echocardiographic and electrocardiogram (ECG) presentations. This is the first case series in Malaysia on this subject.

    METHODS: We identified all of our endomyocardial biopsyproven cardiac amyloidosis patients from January 2010 to January 2018 and reviewed their medical records. All patients echocardiographic and ECG findings reviewed and analysed comparing to basic mean population value.

    RESULTS: In total there are 13 biopsy-proven cardiac amyloidosis patients. All of the biopsies shows light chain (AL) amyloid. Majority of the patients (8, 61.5%) is male, and most of our patients (8, 61.5%) is Chinese. All seven patients on whom we performed deformation imaging have apical sparing pattern on longitudinal strain echocardiogram. Mean ejection fraction is 49.3%, (SD=7.9). All patients have concentric left ventricular hypertrophy and right ventricular hypertrophy. Diastolic dysfunction was present in all of our patients with nine out of 13 patients (69.2%) having restrictive filling patterns (E/A ≥2.0 E/e' ≥15). On electrocardiogram, 12 (92%) patients have prolonged PR interval (median 200ms, IQR 76.50ms) and 9 (69.2%) patients have pseudoinfarct pattern.

    CONCLUSION: Echocardiography plays an important role in diagnosing cardiac amyloidosis. The findings of concentric left ventricular hypertrophy with preserved ejection fraction without increased in loading condition should alert the clinician towards its possibility. This is further supported by right ventricular hypertrophy and particularly longitudinal strain imaging showing apical sparing pattern.

    Matched MeSH terms: Heart Diseases/diagnosis; Heart Diseases/pathology; Heart Diseases/physiopathology*
  18. Yıldırım Ö, Pławiak P, Tan RS, Acharya UR
    Comput Biol Med, 2018 11 01;102:411-420.
    PMID: 30245122 DOI: 10.1016/j.compbiomed.2018.09.009
    This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis. Cardiovascular disease prevention is one of the most important tasks of any health care system as about 50 million people are at risk of heart disease in the world. Although automatic analysis of ECG signal is very popular, current methods are not satisfactory. The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias. Described research are based on 1000 ECG signal fragments from the MIT - BIH Arrhythmia database for one lead (MLII) from 45 persons. Approach based on the analysis of 10-s ECG signal fragments (not a single QRS complex) is applied (on average, 13 times less classifications/analysis). A complete end-to-end structure was designed instead of the hand-crafted feature extraction and selection used in traditional methods. Our main contribution is to design a new 1D-Convolutional Neural Network model (1D-CNN). The proposed method is 1) efficient, 2) fast (real-time classification) 3) non-complex and 4) simple to use (combined feature extraction and selection, and classification in one stage). Deep 1D-CNN achieved a recognition overall accuracy of 17 cardiac arrhythmia disorders (classes) at a level of 91.33% and classification time per single sample of 0.015 s. Compared to the current research, our results are one of the best results to date, and our solution can be implemented in mobile devices and cloud computing.
    Matched MeSH terms: Heart Diseases
  19. Ahmad WA, Fong AY, Quek DK, Sim KH, Zambahari R
    Eur Heart J, 2012 Jan;33(2):155-6.
    PMID: 22351968
    Matched MeSH terms: Heart Diseases/therapy*
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