Displaying publications 641 - 660 of 5835 in total

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  1. Lee LL, Johnson RO, Low WC
    Med J Malaysia, 1977 Dec;32(2):139-46.
    PMID: 614480
    Matched MeSH terms: Adrenal Hyperplasia, Congenital/diagnosis*
  2. Robinson MJ, Lau KS, Lin HP, Chan GL
    Med J Malaysia, 1976 Jun;30(4):287-90.
    PMID: 979730
    Matched MeSH terms: Glucosephosphate Dehydrogenase Deficiency/diagnosis*
  3. Puraviappan A, Hing NK, Ping WW
    Med J Malaysia, 1975 Mar;30(3):202-5.
    PMID: 1160679
    Matched MeSH terms: Tuberculosis, Female Genital/diagnosis*
  4. Adam BA, Soon SH, Rajamani R
    Med J Malaysia, 1974 Sep;29(1):70-2.
    PMID: 4282637
    Matched MeSH terms: Sporotrichosis/diagnosis*
  5. Ramanathan K, Ahmad UD, Kutty MK, Dutt AK, Balasegaram M, Singh H, et al.
    Med J Malaya, 1968 Jun;23(4):276-84.
    PMID: 4235590
    Matched MeSH terms: Rhinosporidiosis/diagnosis
  6. Barclay R
    Med J Malaya, 1966 Dec;21(2):133-4.
    PMID: 4227384
    Matched MeSH terms: Lung Diseases/diagnosis*
  7. Tan W, Lim CTS
    Neurol India, 2019 9 13;67(4):1116-1117.
    PMID: 31512649 DOI: 10.4103/0028-3886.266296
    Matched MeSH terms: Myelitis, Transverse/diagnosis
  8. Leung AKC, Lam JM, Leong KF
    World J Pediatr, 2019 Dec;15(6):536-545.
    PMID: 31456157 DOI: 10.1007/s12519-019-00304-9
    BACKGROUND: Langerhans cell histiocytosis (LCH) is a group of diseases characterized by the proliferation and accumulation of Langerhans cells. Clinical presentations of LCH vary widely.

    DATA SOURCES: A PubMed search was conducted using Clinical Queries with the key term "Langerhans cell histiocytosis". The search strategy included meta-analyses, randomized controlled trials, clinical trials, observational studies, and reviews. This paper is based on, but not limited to, the search results.

    RESULTS: Generally, patients with LCH can be divided into two groups based on the extent of involvement at diagnosis, namely, single-system LCH and multisystem LCH. The involvement may be unifocal or multifocal. Patients with isolated bone lesions typically present between 5 and 15 years of age, whereas those with multisystem LCH tend to present before 5 years of age. The clinical spectrum is broad, ranging from an asymptomatic isolated skin or bone lesion to a life-threatening multisystem condition. Clinical manifestations include, among others, "punched out" lytic bone lesion, seborrheic dermatitis-like eruption, erythematous/reddish-brown crusted/scaly papules/maculopapules/plaques/patches, and eczematous lesions, diabetes insipidus, hepatosplenomegaly, cytopenias, lymphadenopathy, and an acute fulminant disseminated multisystem condition presenting with fever, skin rash, anemia, thrombocytopenia, lymphadenopathy, and hepatosplenomegaly. The diagnosis is clinicopathologic, based on typical clinical findings and histologic/immunohistochemical examination of a biopsy of lesional tissue. Positive CD1a, S100, and/or CD207 (Langerin) immunohistochemical staining of lesional cells is required for a definitive diagnosis. Watchful waiting is recommended for patients with skin-only LCH. Patients with symptomatic or refractory skin-only LCH may be treated with topical tacrolimus/corticosteroids, topical nitrogen mustard, oral methotrexate, or oral hydroxyurea. The current recommended first-line therapy for patients with multisystem LCH is 12 months therapy with prednisone and vinblastine. Mercaptopurine is added for patients with risk organ involvements.

    CONCLUSIONS: Because of the broad spectrum of clinical manifestations and the extreme diversity of disease, LCH remains a diagnostic dilemma. Morphological identification of LCH cells and positive immunochemical staining with CD1a, S100, and/or CD207 (Langerin) of lesional cells are necessary for a definitive diagnosis.

    Matched MeSH terms: Histiocytosis, Langerhans-Cell/diagnosis*
  9. Pfaar O, Klimek L, Jutel M, Akdis CA, Bousquet J, Breiteneder H, et al.
    Allergy, 2021 03;76(3):648-676.
    PMID: 32531110 DOI: 10.1111/all.14453
    BACKGROUND: The coronavirus disease 2019 (COVID-19) has evolved into a pandemic infectious disease transmitted by the severe acute respiratory syndrome coronavirus (SARS-CoV-2). Allergists and other healthcare providers (HCPs) in the field of allergies and associated airway diseases are on the front line, taking care of patients potentially infected with SARS-CoV-2. Hence, strategies and practices to minimize risks of infection for both HCPs and treated patients have to be developed and followed by allergy clinics.

    METHOD: The scientific information on COVID-19 was analysed by a literature search in MEDLINE, PubMed, the National and International Guidelines from the European Academy of Allergy and Clinical Immunology (EAACI), the Cochrane Library, and the internet.

    RESULTS: Based on the diagnostic and treatment standards developed by EAACI, on international information regarding COVID-19, on guidelines of the World Health Organization (WHO) and other international organizations, and on previous experience, a panel of experts including clinicians, psychologists, IT experts, and basic scientists along with EAACI and the "Allergic Rhinitis and its Impact on Asthma (ARIA)" initiative have developed recommendations for the optimal management of allergy clinics during the current COVID-19 pandemic. These recommendations are grouped into nine sections on different relevant aspects for the care of patients with allergies.

    CONCLUSIONS: This international Position Paper provides recommendations on operational plans and procedures to maintain high standards in the daily clinical care of allergic patients while ensuring the necessary safety measures in the current COVID-19 pandemic.

    Matched MeSH terms: Hypersensitivity/diagnosis
  10. Sukumaran S, Kanagalingam D
    Med J Malaysia, 2019 02;74(1):85-86.
    PMID: 30846669
    We present two cases of diamniotic, dichorionic twin pregnancies in which after the loss of the first foetus in the setting of clinical chorioamnionitis, both pregnancies were successfully managed by delayed-interval delivery. A fourstage protocol including aspects of management in this specific setting is proposed. We consider the importance of a selection process when managing conservatively, measures to promote latency and decisions regarding delivery of the foetuses. Whilst we report successful case studies of conservative management with delayed-interval delivery, we support a cautious approach and understand that in the setting of clinical chorioamnionitis of the remaining foetus, delivery is necessary.
    Matched MeSH terms: Chorioamnionitis/diagnosis*
  11. Ullah A, Rehman SU, Tu S, Mehmood RM, Fawad, Ehatisham-Ul-Haq M
    Sensors (Basel), 2021 Feb 01;21(3).
    PMID: 33535397 DOI: 10.3390/s21030951
    Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering from various cardiovascular diseases (CVDs). This research aims to develop a robust algorithm that can accurately classify the electrocardiogram signal even in the presence of environmental noise. A one-dimensional convolutional neural network (CNN) with two convolutional layers, two down-sampling layers, and a fully connected layer is proposed in this work. The same 1D data was transformed into two-dimensional (2D) images to improve the model's classification accuracy. Then, we applied the 2D CNN model consisting of input and output layers, three 2D-convolutional layers, three down-sampling layers, and a fully connected layer. The classification accuracy of 97.38% and 99.02% is achieved with the proposed 1D and 2D model when tested on the publicly available Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database. Both proposed 1D and 2D CNN models outperformed the corresponding state-of-the-art classification algorithms for the same data, which validates the proposed models' effectiveness.
    Matched MeSH terms: Arrhythmias, Cardiac/diagnosis
  12. Low GKK, Kagize J, Faull KJ, Azahar A
    Trop Med Int Health, 2019 10;24(10):1169-1197.
    PMID: 31373098 DOI: 10.1111/tmi.13294
    OBJECTIVE: To review the diagnostic test accuracy and predictive value of statistical models in differentiating the severity of dengue infection.

    METHODS: Electronic searches were conducted in the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, MEDLINE (complete), PubMed and Scopus. Eligible studies to be included in this review were cohort studies with participants confirmed by laboratory test for dengue infection and comparison among the different severity of dengue infection by using statistical models. The methodological quality of the paper was assessed by independent reviewers using QUADAS-2.

    RESULTS: Twenty-six studies published from 1994 to 2017 were included. Most diagnostic models produced an accuracy of 75% to 80% except one with 86%. Two models predicting severe dengue according to the WHO 2009 classification have 86% accuracy. Both of these logistic regression models were applied during the first three days of illness, and their sensitivity and specificity were 91-100% and 79.3-86%, respectively. Another model which evaluated the 30-day mortality of dengue infection had an accuracy of 98.5%.

    CONCLUSION: Although there are several potential predictive or diagnostic models for dengue infection, their limitations could affect their validity. It is recommended that these models be revalidated in other clinical settings and their methods be improved and standardised in future.

    Matched MeSH terms: Dengue/diagnosis*
  13. Nawawi HM, Chua YA, Watts GF
    Curr Opin Cardiol, 2020 05;35(3):226-233.
    PMID: 32097179 DOI: 10.1097/HCO.0000000000000721
    PURPOSE OF REVIEW: With the exception of familial hypercholesterolaemia, the value of genetic testing for managing dyslipidaemias is not established. We review the genetics of major dyslipidaemias in context of clinical practice.

    RECENT FINDINGS: Genetic testing for familial hypercholesterolaemia is valuable to enhance diagnostic precision, cascade testing, risk prediction and the use of new medications. Hypertriglyceridaemia may be caused by rare recessive monogenic, or by polygenic, gene variants; genetic testing may be useful in the former, for which antisense therapy targeting apoC-III has been approved. Familial high-density lipoprotein deficiency is caused by specific genetic mutations, but there is no effective therapy. Familial combined hyperlipidaemia (FCHL) is caused by polygenic variants for which there is no specific gene testing panel. Familial dysbetalipoproteinaemia is less frequent and commonly caused by APOE ε2ε2 homozygosity; as with FCHL, it is responsive to lifestyle modifications and statins or/and fibrates. Elevated lipoprotein(a) is a quantitative genetic trait whose value in risk prediction over-rides genetic testing; treatment relies on RNA therapeutics.

    SUMMARY: Genetic testing is not at present commonly available for managing dyslipidaemias. Rapidly advancing technology may presage wider use, but its worth will require demonstration of cost-effectiveness and a healthcare workforce trained in genomic medicine.

    Matched MeSH terms: Hyperlipoproteinemia Type II/diagnosis*
  14. Kato TA, Hashimoto R, Hayakawa K, Kubo H, Watabe M, Teo AR, et al.
    Psychiatry Clin Neurosci, 2016 Jan;70(1):7-23.
    PMID: 26350304 DOI: 10.1111/pcn.12360
    Japan's prototype of depression was traditionally a melancholic depression based on the premorbid personality known as shūchaku-kishitsu proposed by Mitsuzo Shimoda in the 1930s. However, since around 2000, a novel form of depression has emerged among Japanese youth. Called 'modern type depression (MTD)' by the mass media, the term has quickly gained popularity among the general public, though it has not been regarded as an official medical term. Likewise, lack of consensus guidelines for its diagnosis and treatment, and a dearth of scientific literature on MTD has led to confusion when dealing with it in clinical practice in Japan. In this review article, we summarize and discuss the present situation and issues regarding MTD by focusing on historical, diagnostic, psychosocial, and cultural perspectives. We also draw on international perspectives that begin to suggest that MTD is a phenomenon that may exist not only in Japan but also in many other countries with different sociocultural and historical backgrounds. It is therefore of interest to establish whether MTD is a culture-specific phenomenon in Japan or a syndrome that can be classified using international diagnostic criteria as contained in the ICD or the DSM. We propose a novel diagnostic approach for depression that addresses MTD in order to combat the current confusion about depression under the present diagnostic systems.
    Matched MeSH terms: Depression/diagnosis*
  15. Wai YZ, Ng QX, Lim TH, Lim LT
    BMC Ophthalmol, 2021 Feb 25;21(1):105.
    PMID: 33632162 DOI: 10.1186/s12886-021-01868-9
    BACKGROUND: Cogan's anterior internuclear ophthalmoplegia (INO) is characterized by INO with inability to converge and commonly thought to be due to rostral midbrain lesion. A lesion outside midbrain that causes unilateral Cogan's anterior INO combined with upgaze palsy and ataxia are rarely described.

    CASE PRESENTATION: A 67-year old male presented with left Cogan's anterior internuclear ophthalmoplegia (INO), left appendicular ataxia and bilateral upgaze palsy. A Magnetic Resonance Imaging (MRI) and Magnetic Resonance Angiography (MRA) brain showed a left dorsal tegmental infarct at the level of pontomesencephalic junction.

    CONCLUSIONS: This case highlights the clinical importance of Cogan's anterior INO in combination with upgaze palsy and ataxia, and report possible site of lesion in patients with such constellation. Clinicians should consider looking for cerebellar signs in cases of Cogan's anterior INO, apart from just considering localizing the lesion at the midbrain.

    Matched MeSH terms: Ataxia/diagnosis
  16. Souza AA, Ducker C, Argaw D, King JD, Solomon AW, Biamonte MA, et al.
    Trans R Soc Trop Med Hyg, 2021 01 28;115(2):129-135.
    PMID: 33169166 DOI: 10.1093/trstmh/traa118
    Accurate and reliable diagnostic tools are an essential requirement for neglected tropical diseases (NTDs) programmes. However, the NTD community has historically underinvested in the development and improvement of diagnostic tools, potentially undermining the successes achieved over the last 2 decades. Recognizing this, the WHO, in its newly released draft roadmap for NTD 2021-2030, has identified diagnostics as one of four priority areas requiring concerted action to reach the 2030 targets. As a result, WHO established a Diagnostics Technical Advisory Group (DTAG) to serve as the collaborative mechanism to drive progress in this area. Here, the purpose and role of the DTAG are described in the context of the challenges facing NTD programmes.
    Matched MeSH terms: Neglected Diseases/diagnosis
  17. Caceres DH, Mohd Tap R, Alastruey-Izquierdo A, Hagen F
    Mycopathologia, 2020 10;185(5):741-745.
    PMID: 33037965 DOI: 10.1007/s11046-020-00494-1
    Matched MeSH terms: Mycoses/diagnosis*
  18. Hag A, Handayani D, Pillai T, Mantoro T, Kit MH, Al-Shargie F
    Sensors (Basel), 2021 Sep 20;21(18).
    PMID: 34577505 DOI: 10.3390/s21186300
    Exposure to mental stress for long period leads to serious accidents and health problems. To avoid negative consequences on health and safety, it is very important to detect mental stress at its early stages, i.e., when it is still limited to acute or episodic stress. In this study, we developed an experimental protocol to induce two different levels of stress by utilizing a mental arithmetic task with time pressure and negative feedback as the stressors. We assessed the levels of stress on 22 healthy subjects using frontal electroencephalogram (EEG) signals, salivary alpha-amylase level (AAL), and multiple machine learning (ML) classifiers. The EEG signals were analyzed using a fusion of functional connectivity networks estimated by the Phase Locking Value (PLV) and temporal and spectral domain features. A total of 210 different features were extracted from all domains. Only the optimum multi-domain features were used for classification. We then quantified stress levels using statistical analysis and seven ML classifiers. Our result showed that the AAL level was significantly increased (p < 0.01) under stress condition in all subjects. Likewise, the functional connectivity network demonstrated a significant decrease under stress, p < 0.05. Moreover, we achieved the highest stress classification accuracy of 93.2% using the Support Vector Machine (SVM) classifier. Other classifiers produced relatively similar results.
    Matched MeSH terms: Stress, Psychological/diagnosis
  19. Abdul-Kadir NA, Mat Safri N, Othman MA
    Comput Methods Programs Biomed, 2016 Nov;136:143-50.
    PMID: 27686711 DOI: 10.1016/j.cmpb.2016.08.021
    BACKGROUND: Atrial fibrillation (AF) can cause the formation of blood clots in the heart. The clots may move to the brain and cause a stroke. Therefore, this study analyzed the ECG features of AF and normal sinus rhythm signals for AF recognition which were extracted by using a second-order dynamic system (SODS) concept.
    OBJECTIVE: To find the appropriate windowing length for feature extraction based on SODS and to determine a machine learning method that could provide higher accuracy in recognizing AF.
    METHOD: ECG features were extracted based on a dynamic system (DS) that uses a second-order differential equation to describe the short-term behavior of ECG signals according to the natural frequency (ω), damping coefficient, (ξ), and forcing input (u). The extracted features were windowed into 2, 3, 4, 6, 8, and 10 second episodes to find the appropriate windowing size for AF signal processing. ANOVA and t-tests were used to determine the significant features. In addition, pattern recognition machine learning methods (an artificial neural network (ANN) and a support vector machine (SVM)) with k-fold cross validation (k-CV) were used to develop the ECG recognition system.
    RESULTS: Significant differences (p 
    Matched MeSH terms: Atrial Fibrillation/diagnosis*
  20. Faust O, Acharya UR, Sudarshan VK, Tan RS, Yeong CH, Molinari F, et al.
    Phys Med, 2017 Jan;33:1-15.
    PMID: 28010920 DOI: 10.1016/j.ejmp.2016.12.005
    The diagnosis of Coronary Artery Disease (CAD), Myocardial Infarction (MI) and carotid atherosclerosis is of paramount importance, as these cardiovascular diseases may cause medical complications and large number of death. Ultrasound (US) is a widely used imaging modality, as it captures moving images and image features correlate well with results obtained from other imaging methods. Furthermore, US does not use ionizing radiation and it is economical when compared to other imaging modalities. However, reading US images takes time and the relationship between image and tissue composition is complex. Therefore, the diagnostic accuracy depends on both time taken to read the images and experience of the screening practitioner. Computer support tools can reduce the inter-operator variability with lower subject specific expertise, when appropriate processing methods are used. In the current review, we analysed automatic detection methods for the diagnosis of CAD, MI and carotid atherosclerosis based on thoracic and Intravascular Ultrasound (IVUS). We found that IVUS is more often used than thoracic US for CAD. But for MI and carotid atherosclerosis IVUS is still in the experimental stage. Furthermore, thoracic US is more often used than IVUS for computer aided diagnosis systems.
    Matched MeSH terms: Diagnosis, Computer-Assisted/methods*
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