Displaying publications 21 - 40 of 54 in total

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  1. Wickramatilake CM, Mohideen MR, Pathirana C
    Indian Heart J, 2017 02 12;69(2):291.
    PMID: 28460787 DOI: 10.1016/j.ihj.2017.02.002
    Matched MeSH terms: ST Elevation Myocardial Infarction/diagnosis*
  2. Mahri N, Gan KB, Meswari R, Jaafar MH, Mohd Ali MA
    J Med Eng Technol, 2017 May;41(4):298-308.
    PMID: 28351231 DOI: 10.1080/03091902.2017.1299229
    Myocardial infarction (MI) is a common disease that causes morbidity and mortality. The current tools for diagnosing this disease are improving, but still have some limitations. This study utilised the second derivative of photoplethysmography (SDPPG) features to distinguish MI patients from healthy control subjects. The features include amplitude-derived SDPPG features (pulse height, ratio, jerk) and interval-derived SDPPG features (intervals and relative crest time (RCT)). We evaluated 32 MI patients at Pusat Perubatan Universiti Kebangsaan Malaysia and 32 control subjects (all ages 37-87 years). Statistical analysis revealed that the mean amplitude-derived SDPPG features were higher in MI patients than in control subjects. In contrast, the mean interval-derived SDPPG features were lower in MI patients than in the controls. The classifier model of binary logistic regression (Model 7), showed that the combination of SDPPG features that include the pulse height (d-wave), the intervals of "ab", "ad", "bc", "bd", and "be", and the RCT of "ad/aa" could be used to classify MI patients with 90.6% accuracy, 93.9% sensitivity and 87.5% specificity at a cut-off value of 0.5 compared with the single features model.
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  3. Iqbal U, Wah TY, Habib Ur Rehman M, Mujtaba G, Imran M, Shoaib M
    J Med Syst, 2018 Nov 05;42(12):252.
    PMID: 30397730 DOI: 10.1007/s10916-018-1107-2
    Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sensors help in monitoring the electrical activity of the heart. ECG signal analysis can improve human life in many ways, from diagnosing diseases among cardiac patients to managing the lifestyles of diabetic patients. Abnormalities in heart activities lead to different cardiac diseases and arrhythmia. However, some cardiac diseases, such as myocardial infarction (MI) and atrial fibrillation (Af), require special attention due to their direct impact on human life. The classification of flattened T wave cases of MI in ECG signals and how much of these cases are similar to ST-T changes in MI remain an open issue for researchers. This article presents a novel contribution to classify MI and Af. To this end, we propose a new approach called deep deterministic learning (DDL), which works by combining predefined heart activities with fused datasets. In this research, we used two datasets. The first dataset, Massachusetts Institute of Technology-Beth Israel Hospital, is publicly available, and we exclusively obtained the second dataset from the University of Malaya Medical Center, Kuala Lumpur Malaysia. We first initiated predefined activities on each individual dataset to recognize patterns between the ST-T change and flattened T wave cases and then used the data fusion approach to merge both datasets in a manner that delivers the most accurate pattern recognition results. The proposed DDL approach is a systematic stage-wise methodology that relies on accurate detection of R peaks in ECG signals, time domain features of ECG signals, and fine tune-up of artificial neural networks. The empirical evaluation shows high accuracy (i.e., ≤99.97%) in pattern matching ST-T changes and flattened T waves using the proposed DDL approach. The proposed pattern recognition approach is a significant contribution to the diagnosis of special cases of MI.
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  4. Ang KP, Quek ZQ, Lee CY, Lu HT
    Med J Malaysia, 2019 12;74(6):561-563.
    PMID: 31929492
    The clinical presentation of acute myocarditis is highly variable ranging from no symptoms to cardiogenic shock. Despite considerable progress, it remains a challenge for frontline physicians to discriminate between acute myocarditis and myocardial infarction, especially in the early phase. Our case serves as a reminder that acute presentation of myocarditis could resemble ST elevation myocardial infarction potentially misdirecting the therapeutic decision. The clinical presentation, electrocardiographic and laboratory findings of the patient are not specific enough to distinguish acute myocarditis from myocardial infarction. The gold standard tests such coronary angiography and cardiovascular magnetic resonance (CMR) can reliably differentiate the two entities.
    Matched MeSH terms: ST Elevation Myocardial Infarction/diagnosis*
  5. Almalki WH, Alghamdi S, Alzahrani A, Zhang W
    Drug Discov Today, 2021 03;26(3):826-835.
    PMID: 33383212 DOI: 10.1016/j.drudis.2020.12.018
    Interest is increasing in the use of nanotheranostics as diagnosis, imaging and therapeutic tools for stroke management, but movement to the clinic remains challenging.
    Matched MeSH terms: Cerebral Infarction/diagnosis
  6. Foo CY, Bonsu KO, Nallamothu BK, Reid CM, Dhippayom T, Reidpath DD, et al.
    Heart, 2018 08;104(16):1362-1369.
    PMID: 29437704 DOI: 10.1136/heartjnl-2017-312517
    OBJECTIVE: This study aims to determine the relationship between door-to-balloon delay in primary percutaneous coronary intervention and ST-elevation myocardial infarction (MI) outcomes and examine for potential effect modifiers.

    METHODS: We conducted a systematic review and meta-analysis of prospective observational studies that have investigated the relationship of door-to-balloon delay and clinical outcomes. The main outcomes include mortality and heart failure.

    RESULTS: 32 studies involving 299 320 patients contained adequate data for quantitative reporting. Patients with ST-elevation MI who experienced longer (>90 min) door-to-balloon delay had a higher risk of short-term mortality (pooled OR 1.52, 95% CI 1.40 to 1.65) and medium-term to long-term mortality (pooled OR 1.53, 95% CI 1.13 to 2.06). A non-linear time-risk relation was observed (P=0.004 for non-linearity). The association between longer door-to-balloon delay and short-term mortality differed between those presented early and late after symptom onset (Cochran's Q 3.88, P value 0.049) with a stronger relationship among those with shorter prehospital delays.

    CONCLUSION: Longer door-to-balloon delay in primary percutaneous coronary intervention for ST-elevation MI is related to higher risk of adverse outcomes. Prehospital delays modified this effect. The non-linearity of the time-risk relation might explain the lack of population effect despite an improved door-to-balloon time in the USA.

    CLINICAL TRIAL REGISTRATION: PROSPERO (CRD42015026069).

    Matched MeSH terms: ST Elevation Myocardial Infarction/diagnosis
  7. Soo CS
    Singapore Med J, 1995 Apr;36(2):216, 236-7.
    PMID: 7676272
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  8. Ling KH, Ng KS
    Singapore Med J, 2018 10;59(10):558-559.
    PMID: 30386861 DOI: 10.11622/smedj.2018130
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  9. Foo CY, Reidpath DD, Chaiyakunapruk N
    Syst Rev, 2016 08 02;5(1):130.
    PMID: 27484905 DOI: 10.1186/s13643-016-0304-7
    BACKGROUND: Acute myocardial infarction (AMI) is a medical emergency in which sudden occlusion of coronary artery(ies) results in ischemia and necrosis of the cardiac tissues. Reperfusion therapies that aim at reopening the occluded artery remain the mainstay of treatment for AMI. Primary percutaneous coronary intervention (PCI), which enables the restoration of blood flow by reopening the occluded artery(ies) via a catheter with an inflatable balloon, is currently the preferred treatment for AMI with ST segment elevation (STEMI). The door-to-balloon (D2B) delay refers to the time interval counting from the arrival of a patient with STEMI at a hospital to the time of the balloon inflation (or stent deployment) that reopens the occluded artery(ies). Reducing this delay in primary PCI is thought to be an important strategy toward achieving better patient outcomes. Unfortunately, significant reduction of D2B delay in the USA over the last decade has not been shown to be associated with improved STEMI mortality. It has been suggested that the lack of impact could be due to the expanding use of primary PCI in STEMI as well as the survival cohort effect, leading to a shift toward a higher risk population receiving the procedure. Others have suggested that reduction in D2B delay may not be as impactful as expected, given that it only represents a small fraction of the total ischemic time. Although most existing evidence have pointed to the presence of a beneficial effect of shorter D2B delay, some inconsistencies however exist. This study aims to synthesize available evidence in order to answer the following questions: (1) what is the overall effect of D2B delay on clinical outcomes in patients with STEMI treated with primary PCI? (2) What factors explain the differences of the effect estimates among the studies? (3) What are the important strength and limitation of the existing body of evidence?

    METHOD: We will search PubMed/MEDLINE, EMBASE, ClinicalTrials.gov, WHO International Clinical Trials Registry, CINAHL Database, and the Cochrane Library using a predefined search strategy. Other sources of literature will include proceedings from the European Society of Cardiology, the American College of Cardiology, the American Heart Association, the EUROPCR, and the ProQuest Dissertations and Theses Database. We will include data from observational studies (case-control and cohort study design) and randomized control trials (that have investigated the relationship of D2B time and clinical outcome(s) in an adult (older than 18) STEMI population). Mortality (cardiac related and all-cause) and incidence heart failure (HF) have been prioritized as the primary outcomes. All eligible studies will be assessed for risk of bias using the Risk Of Bias in Non-randomized Studies - of Interventions tool. The Grading of Recommendations, Assessment, and Evaluation (GRADE) framework will be used to report the quality of evidence and strength of recommendations. We will proceed to analyze the data quantitatively if the pre-specified conditions are satisfied.

    DISCUSSION: Recent discussion on the negative findings of improved D2B delay over time being unrelated to better STEMI outcomes at the population level has reminded us of an important knowledge gap we have on this domain. This systematic review will serve to address some of these key questions not previously examined. Answers to these questions could clarify the controversies and offer empirical support for or against the suggested hypotheses.

    SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015026069.

    Matched MeSH terms: Myocardial Infarction/diagnosis*
  10. Sharif Nia H, Gorgulu O, Naghavi N, Froelicher ES, Fomani FK, Goudarzian AH, et al.
    BMC Cardiovasc Disord, 2021 11 23;21(1):563.
    PMID: 34814834 DOI: 10.1186/s12872-021-02372-0
    BACKGROUND: Although various studies have been conducted on the effects of seasonal climate changes or emotional variables on the risk of AMI, many of them have limitations to determine the predictable model. The currents study is conducted to assess the effects of meteorological and emotional variables on the incidence and epidemiological occurrence of acute myocardial infarction (AMI) in Sari (capital of Mazandaran, Iran) during 2011-2018.

    METHODS: In this study, a time series analysis was used to determine the variation of variables over time. All series were seasonally adjusted and Poisson regression analysis was performed. In the analysis of meteorological data and emotional distress due to religious mourning events, the best results were obtained by autoregressive moving average (ARMA) (5,5) model.

    RESULTS: It was determined that average temperature, sunshine, and rain variables had a significant effect on death. A total of 2375 AMI's were enrolled. Average temperate (°C) and sunshine hours a day (h/day) had a statistically significant relationship with the number of AMI's (β = 0.011, P = 0.014). For every extra degree of temperature increase, the risk of AMI rose [OR = 1.011 (95%CI 1.00, 1.02)]. For every extra hour of sunshine, a day a statistically significant increase [OR = 1.02 (95% CI 1.01, 1.04)] in AMI risk occurred (β = 0.025, P = 0.001). Religious mourning events increase the risk of AMI 1.05 times more. The other independent variables have no significant effects on AMI's (P > 0.05).

    CONCLUSION: Results demonstrate that sunshine hours and the average temperature had a significant effect on the risk of AMI. Moreover, emotional distress due to religious morning events increases AMI. More specific research on this topic is recommended.

    Matched MeSH terms: Myocardial Infarction/diagnosis
  11. Wahab NA, Zainudin S, AbAziz A, Kamaruddin NA
    Med Princ Pract, 2015;24(1):96-8.
    PMID: 25428406 DOI: 10.1159/000369021
    OBJECTIVE: The aim of this case study is to emphasize the importance of α-blockade in managing a rare complication of an untreated pheochromocytoma.

    CLINICAL PRESENTATION AND INTERVENTION: A 41-year-old man with previous bilateral pheochromocytoma presented with chest pain. He was suffering from cardiac failure and persistent hypotension requiring an inotrope. Cardiac markers, an electrocardiogram and an echocardiogram confirmed acute myocardial infarct with poor ejection fraction and global hypokinesia. An (18)F-fluorodeoxyglucose PET/CT scan showed progressive left suprarenal and organ of Zuckerkandl pheochromocytomas. Blood pressure stabilisation proved challenging but was achieved by titrating an incremental dose of α-blocker against a tapering inotropic dose.

    CONCLUSION: This case showed the efficacy of an α-blocker despite persistent hypotension in a patient with pheochromocytoma-induced cardiomyopathy.

    Matched MeSH terms: Myocardial Infarction/diagnosis
  12. Jasmin R, Ng CT, Sockalingam S, Yahya F, Cheah TE, Sadiq MA
    Lupus, 2013 Dec;22(14):1518-22.
    PMID: 24004952 DOI: 10.1177/0961203313503913
    We report a 13-year-old girl diagnosed with systemic lupus erythematosus (SLE) who presented with left-sided chest pain, with ECG changes and elevation troponins that were suggestive of an acute inferior wall myocardial infarction (MI). Her multi-slice computed tomography coronary angiogram and standard angiogram were normal. The cardiac magnetic resonance imaging revealed an area of infarcted myocardium that was in the right coronary artery territory. We believe her MI was most likely secondary to coronary vasospasm. MI is rare and coronary vasospasm is an uncommon cause of MI in children and adolescents with SLE.
    Matched MeSH terms: Myocardial Infarction/diagnosis
  13. Selvarajah S, Fong AY, Selvaraj G, Haniff J, Uiterwaal CS, Bots ML
    PLoS One, 2012;7(7):e40249.
    PMID: 22815733 DOI: 10.1371/journal.pone.0040249
    Risk stratification in ST-elevation myocardial infarction (STEMI) is important, such that the most resource intensive strategy is used to achieve the greatest clinical benefit. This is essential in developing countries with wide variation in health care facilities, scarce resources and increasing burden of cardiovascular diseases. This study sought to validate the Thrombolysis In Myocardial Infarction (TIMI) risk score for STEMI in a multi-ethnic developing country.
    Matched MeSH terms: Myocardial Infarction/diagnosis
  14. Ainon RN, Bulgiba AM, Lahsasna A
    J Med Syst, 2012 Apr;36(2):463-73.
    PMID: 20703704 DOI: 10.1007/s10916-010-9491-2
    This paper aims at identifying the factors that would help to diagnose acute myocardial infarction (AMI) using data from an electronic medical record system (EMR) and then generating structure decisions in the form of linguistic fuzzy rules to help predict and understand the outcome of the diagnosis. Since there is a tradeoff in the fuzzy system between the accuracy which measures the capability of the system to predict the diagnosis of AMI and transparency which reflects its ability to describe the symptoms-diagnosis relation in an understandable way, the proposed fuzzy rules are designed in a such a way to find an appropriate balance between these two conflicting modeling objectives using multi-objective genetic algorithms. The main advantage of the generated linguistic fuzzy rules is their ability to describe the relation between the symptoms and the outcome of the diagnosis in an understandable way, close to human thinking and this feature may help doctors to understand the decision process of the fuzzy rules.
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  15. Norlinah MI, Shahizon AM
    Med J Malaysia, 2008 Dec;63(5):410-2.
    PMID: 19803303 MyJurnal
    Secondary paroxysmal dyskinesias (PxD) have been previously reported in patients with multiple sclerosis, lacunar infarcts, head trauma, metabolic disorders such as hyperglycaemia, hypocalcaemia, migraine and central nervous system (CNS) infections. The causative lesions typically involve the basal ganglia structures, medulla and rarely the spinal cord. We report two patients who presented with paroxysmal dyskinesias as the only manifestation of subcortical white-matter ischaemia. Patient 1 presented with 3-year history of paroxysmal kinesigenic dyskinesia (PKD) and patient 2 with 6-month history of paroxysmal nonkinesigenic dyskinesia (PNKD). All investigations, including CSF oligoclonal bands were negative, except for a brain MRI which showed multiple, non-enhancing subcortical white matter lacunar infarcts. Therefore, subcortical white matter ischaemia should also be included in the differential diagnosis of PxD.
    Matched MeSH terms: Brain Infarction/diagnosis*
  16. Rahim MA, Rahim ZH, Ahmad WA, Hashim OH
    Int J Med Sci, 2015;12(4):329-35.
    PMID: 25897294 DOI: 10.7150/ijms.11280
    Human saliva plays a pivotal role in digesting food and maintaining oral hygiene. The presence of electrolytes, mucus, glycoproteins, enzymes, antibacterial compounds, and gingival crevicular fluid in saliva ensures the optimum condition of oral cavity and general health condition. Saliva collection has been proven non-invasive, convenient, and inexpensive compared to conventional venipuncture procedure. These distinctive advantages provide a promising potential of saliva as a diagnostic fluid. Through comprehensive analysis, an array of salivary proteins and peptides may be beneficial as biomarkers in oral and systemic diseases. In this review, we discuss the utility of human salivary proteomes and tabulate the recent salivary biomarkers found in subjects with acute myocardial infarction as well as respective methods employed. In a clinical setting, since acute myocardial infarction contributes to large cases of mortality worldwide, an early intervention using these biomarkers will provide an effective solution to reduce global heart attack incidence particularly among its high-risk group of type-2 diabetes mellitus patients. The utility of salivary biomarkers will make the prediction of this cardiac event possible due to its reliability hence improve the quality of life of the patients. Current challenges in saliva collection are also addressed to improve the quality of saliva samples and produce robust biomarkers for future use in clinical applications.
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  17. Foo CY, Andrianopoulos N, Brennan A, Ajani A, Reid CM, Duffy SJ, et al.
    Sci Rep, 2019 12 27;9(1):19978.
    PMID: 31882674 DOI: 10.1038/s41598-019-56353-7
    Literature studying the door-to-balloon time-outcome relation in coronary intervention is limited by the potential of residual biases from unobserved confounders. This study re-examines the time-outcome relation with further consideration of the unobserved factors and reports the population average effect. Adults with ST-elevation myocardial infarction admitted to one of the six registry participating hospitals in Australia were included in this study. The exposure variable was patient-level door-to-balloon time. Primary outcomes assessed included in-hospital and 30 days mortality. 4343 patients fulfilled the study criteria. 38.0% (1651) experienced a door-to-balloon delay of >90 minutes. The absolute risk differences for in-hospital and 30-day deaths between the two exposure subgroups with balanced covariates were 2.81 (95% CI 1.04, 4.58) and 3.37 (95% CI 1.49, 5.26) per 100 population. When unmeasured factors were taken into consideration, the risk difference were 20.7 (95% CI -2.6, 44.0) and 22.6 (95% CI -1.7, 47.0) per 100 population. Despite further adjustment of the observed and unobserved factors, this study suggests a directionally consistent linkage between longer door-to-balloon delay and higher risk of adverse outcomes at the population level. Greater uncertainties were observed when unmeasured factors were taken into consideration.
    Matched MeSH terms: ST Elevation Myocardial Infarction/diagnosis
  18. Tan JH, Ng ZQ, Vendargon S
    BMJ Case Rep, 2018 Apr 17;2018.
    PMID: 29666108 DOI: 10.1136/bcr-2018-225271
    Matched MeSH terms: Non-ST Elevated Myocardial Infarction/diagnosis
  19. Adam M, Oh SL, Sudarshan VK, Koh JE, Hagiwara Y, Tan JH, et al.
    Comput Methods Programs Biomed, 2018 Jul;161:133-143.
    PMID: 29852956 DOI: 10.1016/j.cmpb.2018.04.018
    Cardiovascular diseases (CVDs) are the leading cause of deaths worldwide. The rising mortality rate can be reduced by early detection and treatment interventions. Clinically, electrocardiogram (ECG) signal provides useful information about the cardiac abnormalities and hence employed as a diagnostic modality for the detection of various CVDs. However, subtle changes in these time series indicate a particular disease. Therefore, it may be monotonous, time-consuming and stressful to inspect these ECG beats manually. In order to overcome this limitation of manual ECG signal analysis, this paper uses a novel discrete wavelet transform (DWT) method combined with nonlinear features for automated characterization of CVDs. ECG signals of normal, and dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM) and myocardial infarction (MI) are subjected to five levels of DWT. Relative wavelet of four nonlinear features such as fuzzy entropy, sample entropy, fractal dimension and signal energy are extracted from the DWT coefficients. These features are fed to sequential forward selection (SFS) technique and then ranked using ReliefF method. Our proposed methodology achieved maximum classification accuracy (acc) of 99.27%, sensitivity (sen) of 99.74%, and specificity (spec) of 98.08% with K-nearest neighbor (kNN) classifier using 15 features ranked by the ReliefF method. Our proposed methodology can be used by clinical staff to make faster and accurate diagnosis of CVDs. Thus, the chances of survival can be significantly increased by early detection and treatment of CVDs.
    Matched MeSH terms: Myocardial Infarction/diagnosis*
  20. Chin CT, Ong TK, Krittayaphong R, Lee SW, Sawhney JPS, Kim HS, et al.
    Int J Cardiol, 2017 Sep 15;243:15-20.
    PMID: 28747021 DOI: 10.1016/j.ijcard.2017.04.059
    BACKGROUND: Many patients with non-ST-segment elevation acute coronary syndromes (NSTE-ACS) are medically managed without coronary revascularization. The reasons vary and may impact prognosis.

    METHODS: EPICOR Asia (NCT01361386) is a prospective study of hospital survivors post-ACS enrolled in 218 hospitals from 8 countries/regions in Asia (06/2011-05/2012). All medically managed NSTE-ACS patients were classified into 3 groups: 1) no coronary angiography (CAG-); 2) non-significant coronary artery disease (CAD) on angiogram (CAG+ CAD-); and 3) significant CAD (CAG+ CAD+). We compared baseline differences between patients medically managed and patients undergoing revascularization, and also between the medically managed groups. Adverse events were reported and compared up to 2years.

    RESULTS: Of 6163 NSTE-ACS patients, 2272 (37%) were medically managed, with 1339 (59%), 254 (11%), and 679 (30%) in the CAG-, CAG+ CAD-, and CAG+ CAD+ groups, respectively. There were marked differences in the proportion of medically managed patients among the 8 countries/regions (13-81%). Medically managed patients had higher mortality at 2years compared with revascularization (8.7% vs. 3.0%, p<0.001). Among medically managed patients, CAG- patients were older, more likely to have pre-existing cardiovascular disease, and had the highest 2-year mortality (10.5% vs. 4.3% [CAG+ CAD-] and 6.6% [CAG+ CAD+], p<0.001). Mortality differences persisted after adjusting for other patient risk factors.

    CONCLUSIONS: Medically managed NSTE-ACS patients are a heterogeneous group with different risk stratification and variable prognosis. Identification of reasons underlying different management strategies, and key factors adversely influencing long-term prognosis, may improve outcomes.

    Matched MeSH terms: Non-ST Elevated Myocardial Infarction/diagnosis
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