Displaying publications 121 - 140 of 1160 in total

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  1. Alanazi HO, Abdullah AH, Qureshi KN, Ismail AS
    Ir J Med Sci, 2018 May;187(2):501-513.
    PMID: 28756541 DOI: 10.1007/s11845-017-1655-3
    INTRODUCTION: Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance.

    AIMS AND OBJECTIVES: In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life.

    CONCLUSION: The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity.

    Matched MeSH terms: Prognosis
  2. Tan MS, Chang SW, Cheah PL, Yap HJ
    PeerJ, 2018;6:e5285.
    PMID: 30065881 DOI: 10.7717/peerj.5285
    Although most of the cervical cancer cases are reported to be closely related to the Human Papillomavirus (HPV) infection, there is a need to study genes that stand up differentially in the final actualization of cervical cancers following HPV infection. In this study, we proposed an integrative machine learning approach to analyse multiple gene expression profiles in cervical cancer in order to identify a set of genetic markers that are associated with and may eventually aid in the diagnosis or prognosis of cervical cancers. The proposed integrative analysis is composed of three steps: namely, (i) gene expression analysis of individual dataset; (ii) meta-analysis of multiple datasets; and (iii) feature selection and machine learning analysis. As a result, 21 gene expressions were identified through the integrative machine learning analysis which including seven supervised and one unsupervised methods. A functional analysis with GSEA (Gene Set Enrichment Analysis) was performed on the selected 21-gene expression set and showed significant enrichment in a nine-potential gene expression signature, namely PEG3, SPON1, BTD and RPLP2 (upregulated genes) and PRDX3, COPB2, LSM3, SLC5A3 and AS1B (downregulated genes).
    Matched MeSH terms: Prognosis
  3. John RR, Ravindran C, Malathi N, Aruna RM
    J Maxillofac Oral Surg, 2018 Sep;17(3):389-395.
    PMID: 30034160 DOI: 10.1007/s12663-018-1087-2
    Abstract: Cyclin D1 is linked with the development and progression of oral squamous cell carcinoma (OSCC). This case-control study was directed to characterise the immunoreactivity of the protein cyclin D1 and its correlation with the clinicopathological parameters of patients with OSCC and potentially malignant disorders (PMD). A group of patients with OSCC were followed up after treatment, and the cyclin D1 expression was reviewed for correlation of cyclin D1 expression with prognosis of the patients.

    Methodology: Sixty individuals were included in this study: OSCC (20), PMD (20) and Control (20). Immunohistochemistry assay was evaluated. The clinicopathological parameters were correlated with the staining intensity of cyclin D1. The results were subjected to Pearson's correlation test.

    Results: Age, gender and site showed no statistically significant correlation with cyclin D1 expression in OSCC and PMD. The cyclin D1 score did not show a significant difference with histopathological diagnosis of OSCC. Cyclin D1 was not expressed in 60% of the Control and 30% PMD cases while the expression of cyclin D1 was seen in 100% of OSCC cases although cyclin D1 score did not show a statistically significant association in the prognosis of the disease among the OSCC patients.

    Matched MeSH terms: Prognosis
  4. Venkateswaran SP, Nathan LE, Mutalik VS, Shamsuddin NH
    J Oral Maxillofac Pathol, 2016 Sep-Dec;20(3):427-435.
    PMID: 27721608
    Head and neck squamous cell carcinoma (HNSCC) consists of squamous cell carcinomas (SCCs) arising in the upper aerodigestive tract and accounts for 5% of cancers worldwide. In Malaysia, cancers of the nasopharynx, larynx, tongue and oral cavity are among the top twenty most common cancers in men. Argyrophilic nuclear organizer regions (AgNORs) are increased from normal mucosa to premalignant lesions to malignant lesions and have been associated with tumor grade and prognosis of patients. Although p73 is not mutated in human cancers, high levels of p73 expression have been associated with tumor differentiation status and patient prognosis.
    Matched MeSH terms: Prognosis
  5. Peter CA, Anand Swaroop U, Wong BS
    Med J Malaysia, 2017 02;72(1):58-59.
    PMID: 28255143
    Intra-cardiac extension of hepatocellular carcinoma (HCC) is an uncommon but serious condition related to poor prognosis. We report a 57-year-old male diagnosed with HCC with intra-cardiac extension into the right atrium at presentation. There were no symptoms related to cardiac involvement and intra-cardiac extension was incidentally noted on radiological imaging. He was offered palliative treatment and succumbed to his disease within 50 days of first diagnosis.
    Matched MeSH terms: Prognosis
  6. Rima Melati Mat Satar, Zed Zakari Abdul Hamid, Hartini Yusuf, Maimunah Mustakim
    MyJurnal
    Ki-67 expression is strongly correlated with tumour cell proliferation and growth. It is widely used as a proliferation marker in the routine pathological investigation. The nuclear protein Ki- 67 (pKi67) is recognised prognostic and predictive indicator for the biopsies assessment for cancer patients. Clinically, pKi67 has been revealed to associate with metastasis and the clinical stage of tumours. Furthermore, it has been presented that the expression of Ki-67 is significantly higher in malignant tissues with poorly differentiated tumour cells, as compared with normal tissue. The Ki-67 labelling index plays a vital role as an independent prognostic factor for survival rate, which includes all stages and grade categories. There is an association between the ratios of Ki-67 positive malignant cells and patient survival. This review provides an overview of recent advances in detecting Ki-67 in ovarian carcinoma.
    Matched MeSH terms: Prognosis
  7. Aziz A, Mohamad I, Zawawi N
    Malays Fam Physician, 2018;13(2):32-35.
    PMID: 30302182
    Kimura disease presents as benign lesion and is commonly present among the Asian population. It is a disease with a favourable prognosis and a peak age of onset in the third decade. It is a chronic inflammatory disorder of unknown etiology that involves the lymph nodes and subcutaneous tissues of the head and neck region. We report a case of a 15-year-old boy with multiple Kimura lymphadenopathies involving the left posterior auricular region as well as the anterior and posterior triangles of the neck.
    Matched MeSH terms: Prognosis
  8. Yusof NA, Idris NS, Zin FM
    Korean J Fam Med, 2018 Nov 30.
    PMID: 30497111 DOI: 10.4082/kjfm.17.0127
    Profound weight loss with painful symmetrical peripheral neuropathy in diabetic patients was first described as diabetic neuropathic cachexia more than 4 decades ago. It is a distinct type of diabetic peripheral neuropathy that occurs in the absence of other microvascular and autonomic complications of diabetes. The mechanism and precipitating cause are unknown. It was reported to have good prognosis with spontaneous recovery within months to 2 years. However, it was frequently missed by clinicians because the profound weight loss is the most outstanding complaint, rather than the pain, numbness, or weakness. This often leads to extensive investigation to exclude more sinister causes of weight loss, particularly malignancy. We report a case of a young woman with well-controlled diabetes who presented with profound unintentional weight loss (26 kg), symmetrical debilitating thigh pain, and clinical signs of peripheral neuropathy. As the disease entity may mimic an inflammatory demyelinating cause of neuropathy, she was treated with a trial of intravenous immunoglobulin, which failed to give any significant benefit. However, she recovered after 6 months without any specific treatment, other than an antidepressant for the neuropathic pain and ongoing rehabilitation.
    Matched MeSH terms: Prognosis
  9. Al-Betar MA, Alomari OA, Abu-Romman SM
    Genomics, 2019 Oct 29.
    PMID: 31676302 DOI: 10.1016/j.ygeno.2019.09.015
    Gene expression data are expected to make a great contribution in the producing of efficient cancer diagnosis and prognosis. Gene expression data are coded by large measured genes, and only of a few number of them carry precious information for different classes of samples. Recently, several researchers proposed gene selection methods based on metaheuristic algorithms for analysing and interpreting gene expression data. However, due to large number of selected genes with limited number of patient's samples and complex interaction between genes, many gene selection methods experienced challenges in order to approach the most relevant and reliable genes. Hence, in this paper, a hybrid filter/wrapper, called rMRMR-MBA is proposed for gene selection problem. In this method, robust Minimum Redundancy Maximum Relevancy (rMRMR) as filter to select the most promising genes and an modified bat algorithm (MBA) as search engine in wrapper approach is proposed to identify a small set of informative genes. The performance of the proposed method has been evaluated using ten gene expression datasets. For performance evaluation, MBA is evaluated by studying the convergence behaviour of MBA with and without TRIZ optimisation operators. For comparative evaluation, the results of the proposed rMRMR-MBA were compared against ten state-of-arts methods using the same datasets. The comparative study demonstrates that the proposed method produced better results in terms of classification accuracy and number of selected genes in two out of ten datasets and competitive results on the remaining datasets. In a nutshell, the proposed method is able to produce very promising results with high classification accuracy which can be considered a promising contribution for gene selection domain.
    Matched MeSH terms: Prognosis
  10. Subha ST, Abu-Bakar S, Prepageran N
    Iran J Otorhinolaryngol, 2019 Sep;31(106):315-318.
    PMID: 31598500
    Introduction: Parotid gland squamous cell carcinoma is an uncommon aggressive neoplasm with poor prognosis. Aural polyps are usually the presenting features of chronic suppurative otitis media, tuberculous otitis media, and adenoma or carcinoma. The malignant aural polyp is very rare. Parotid gland carcinoma masquerading as an aural polyp has rarely been described in the literature.

    Case Report: We report a case study of parotid squamous cell carcinoma in a 29-year-old male masquerading as an ear polyp.

    Conclusion: Parotid gland primary squamous cell carcinoma is a rapidly advancing neoplasm which carries poor prognosis despite multimodality treatment. Diligent clinical and histopathological evaluation is imperative to discriminate this rare aggressive disease from the metastatic and other primary cancers of the parotid. A high index of suspicion is crucial in refractory aural polyps to arrive at early diagnosis.

    Matched MeSH terms: Prognosis
  11. Wong EHC, Liew YT, Loong SP, Prepageran N
    Ann Otol Rhinol Laryngol, 2020 Mar;129(3):287-293.
    PMID: 31701754 DOI: 10.1177/0003489419887410
    AIM: Endoscopic endonasal nasopharyngectomy (EEN) for recurrent nasopharyngeal carcinoma (rNPC) is being increasingly used due to the added high magnification, reduced morbidities associated with open procedures and good survival outcomes. Most studies looked at usage of EEN in patients with lower recurrent staging (rT1 and rT2) although more and more surgeons are studying the outcome of EEN in advanced rNPC (rT3 and rT4). The aims of this study were to report the long-term 5-year survival outcome of EEN performed in patients with advanced rNPC, and to determine any prognostic factors for patients' survival.

    METHODS: All patients who underwent EEN for advanced rNPC between January 2003 and December 2015 inclusive were analyzed. All surgeries were performed in University Malaya Medical Centre in Kuala Lumpur and Queen Elizabeth Hospital in Sabah. We reported the 5-year overall survival (OS), disease-free survival (DFS) and disease-specific survival (DSS) and any related complications and significant prognostic factors.

    RESULTS: Twelve patients with rNPC (2 rT3 and 10 rT4) were followed-up over a mean duration of 44.8 months (range, 40-440 weeks). The 5-year OS was 50.0% (mean 44.75 months), DFS was 25.0% (mean 35.25 months) and the DSS was 58.3% (mean 43.33 months). No severe operative complications were encountered and no independent prognostic factors for survival outcome were identified.

    CONCLUSION: This is the first report in English that exclusively described the long-term 5-year survival data in patients with both rT3 and rT4 recurrent NPC after EEN. The data suggest that EEN is a feasible treatment to improve survival with minimal morbidities in patients with rT3 and rT4 recurrent NPC. However, more studies with larger patient size is recommended.

    Matched MeSH terms: Prognosis
  12. Behrooz Gharleghi, Abu Hassan Shaari Md Nor, Tamat Sarmidi
    Sains Malaysiana, 2014;43:1609-1622.
    Linear time series models are not able to capture the behaviour of many financial time series, as in the cases of exchange rates and stock market data. Some phenomena, such as volatility and structural breaks in time series data, cannot be modelled implicitly using linear time series models. Therefore, nonlinear time series models are typically designed to accommodate for such nonlinear features. In the present study, a nonlinearity test and a structural change test are used to detect the nonlinearity and the break date in three ASEAN currencies, namely the Indonesian Rupiah (IDR), the Malaysian Ringgit (MYR) and the Thai Baht (THB). The study finds that the null hypothesis of linearity is rejected and evidence of structural breaks exist in the exchange rates series. Therefore, the decision to use the self-exciting threshold autoregressive (SETAR) model in the present study is justified. The results showed that the SETAR model, as a regime switching model, can explain abrupt changes in a time series. To evaluate the prediction performance of SETAR model, an Autoregressive Integrated Moving Average (ARIMA) model used as a benchmark. In order to increase the accuracy of prediction, both models are combined with an exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model. The prediction results showed that the construct model of SETAR-EGARCH performs better than that of the ARIMA model and the combined ARIMA and EGARCH model. The results indicated that nonlinear models give better fitting than linear models.
    Matched MeSH terms: Prognosis
  13. Chuah YY, Tashi T, Lee YY, Fu TY, Shih CA
    Acta Gastroenterol Belg, 2020 4 2;83(1):77-80.
    PMID: 32233276
    Background: Enteropathy-associated T-cell lymphoma (EATL) is a rare type of gastrointestinal non-Hodgkin's Lymphoma. EATL with intracranial metastasis is even rarer. We report a case of EATL with intracranial metastasis.

    Case Presentation: A 36-years old man presented with five weeks history of intractable diarrhea. Colonoscopy was normal, but abdominal computed tomography (CT) scan revealed mural thickening at duodenojejunal junction, and subsequent jejunofiberoscopy showed a circumferential ulceration at the jejunum. Histo-immunopathology confirmed the diagnosis of enteropathyassociated T-cell lymphoma (EATL) type II. His disease course proved to be aggressive and refractory to standard front-line chemotherapy, and eventually progressed through second-line salvage regimen with CNS and intracranial involvement. He died nine months after the initial diagnosis.

    Conclusion: EATL with brain metastasis is a very rare occurrence with dismal prognosis.

    Matched MeSH terms: Prognosis
  14. Wan Sohaimi WF, Lee YF, Mat Nawi N, Mohd Rohani MF, Sapiai NA
    Indian J Surg Oncol, 2019 Dec;10(4):676-678.
    PMID: 31857764 DOI: 10.1007/s13193-019-00977-8
    We report a unique case of differentiated thyroid carcinoma (DTC) with squamous metaplasia complicated with chronic discharging ulcer. A 76-year-old gentleman was referred to us after defaulted treatment 1 year post-total thyroidectomy. He presented to us with long-standing chronic, non-healing, ulcerative and discharging wound at the anterior neck at previous total thyroidectomy scar. The primary tumour was histologically diagnosed as papillary malignant cells with extensive squamous metaplasia. Squamous metaplasia is a rare finding in thyroid carcinoma that carried a poorer prognostic factor.
    Matched MeSH terms: Prognosis
  15. Yong YK, Tan HY, Saeidi A, Wong WF, Vignesh R, Velu V, et al.
    Front Microbiol, 2019;10:2789.
    PMID: 31921004 DOI: 10.3389/fmicb.2019.02789
    Tuberculosis (TB) treatment monitoring is paramount to clinical decision-making and the host biomarkers appears to play a significant role. The currently available diagnostic technology for TB detection is inadequate. Although GeneXpert detects total DNA present in the sample regardless live or dead bacilli present in clinical samples, all the commercial tests available thus far have low sensitivity. Humoral responses against Mycobacterium tuberculosis (Mtb) antigens are generally low, which precludes the use of serological tests for TB diagnosis, prognosis, and treatment monitoring. Mtb-specific CD4+ T cells correlate with Mtb antigen/bacilli burden and hence might serve as good biomarkers for monitoring treatment progress. Omics-based techniques are capable of providing a more holistic picture for disease mechanisms and are more accurate in predicting TB disease outcomes. The current review aims to discuss some of the recent advances on TB biomarkers, particularly host biomarkers that have the potential to diagnose and differentiate active TB and LTBI as well as their use in disease prognosis and treatment monitoring.
    Matched MeSH terms: Prognosis
  16. Minhat HS, Kadir Shahar H
    Curr Med Res Opin, 2020 08;36(8):1309-1311.
    PMID: 32569488 DOI: 10.1080/03007995.2020.1786680
    Background: Like other affected countries around the globe, Malaysia is shocked by the Coronavirus disease 2019, which is also known as COVID-19.Aims: This commentary article discusses the COVID-19 scenario in Malaysia, particularly in relation to the sudden increase in the number of new cases related to an international mass gathering.Findings: Projection through modelling helps the relevant authorities to act quickly and effectively, including enforcement of physical and social distancing. Modelling also assists in understanding the link between the biological processes that underpin transmission events and the population-level dynamics of the disease.Conclusion: There is no one-size-fits-all approach in managing disease outbreak. The fight against COVID-19 very much depends on their attitude during the 14-day Movement Control Order (MCO) which has been extended recently.
    Matched MeSH terms: Prognosis
  17. Verma N, Dhiman RK, Singh V, Duseja A, Taneja S, Choudhury A, et al.
    Hepatol Int, 2021 Jun;15(3):753-765.
    PMID: 34173167 DOI: 10.1007/s12072-021-10175-w
    BACKGROUND: Multiple predictive models of mortality exist for acute-on-chronic liver failure (ACLF) patients that often create confusion during decision-making. We studied the natural history and evaluated the performance of prognostic models in ACLF patients.

    METHODS: Prospectively collected data of ACLF patients from APASL-ACLF Research Consortium (AARC) was analyzed for 30-day outcomes. The models evaluated at days 0, 4, and 7 of presentation for 30-day mortality were: AARC (model and score), CLIF-C (ACLF score, and OF score), NACSELD-ACLF (model and binary), SOFA, APACHE-II, MELD, MELD-Lactate, and CTP. Evaluation parameters were discrimination (c-indices), calibration [accuracy, sensitivity, specificity, and positive/negative predictive values (PPV/NPV)], Akaike/Bayesian Information Criteria (AIC/BIC), Nagelkerke-R2, relative prediction errors, and odds ratios.

    RESULTS: Thirty-day survival of the cohort (n = 2864) was 64.9% and was lowest for final-AARC-grade-III (32.8%) ACLF. Performance parameters of all models were best at day 7 than at day 4 or day 0 (p  12 had the lowest 30-day survival (5.7%).

    CONCLUSIONS: APASL-ACLF is often a progressive disease, and models assessed up to day 7 of presentation reliably predict 30-day mortality. Day-7 AARC model is a statistically robust tool for classifying risk of death and accurately predicting 30-day outcomes with relatively lower prediction errors. Day-7 AARC score > 12 may be used as a futility criterion in APASL-ACLF patients.

    Matched MeSH terms: Prognosis
  18. Ng RT, Chew KS, Choong CL, Song ZL, Teh JKL, Koay ZL, et al.
    Hepatol Int, 2022 Dec;16(6):1390-1397.
    PMID: 36131224 DOI: 10.1007/s12072-022-10417-5
    OBJECTIVE: Outcome of pediatric acute liver failure (PALF) in countries with limited availability of LT is not well described. We evaluated the outcome and prognostic indicators of PALF in Malaysia where emergency LT for ALF is limited.

    METHODS: In this retrospective review on children  452 μmol/L and peak GGT 

    Matched MeSH terms: Prognosis
  19. Rahim EA, Noh MS, Ngah NA, Suraini MS, Yusof MM
    Acta Radiol Open, 2017 Jul;6(7):2058460117716705.
    PMID: 28811928 DOI: 10.1177/2058460117716705
    Hepatocellular carcinoma (HCC) is the commonest primary tumor of the liver and carries a poor prognosis when diagnosed late or left untreated. Treatment relies heavily on the stage of the tumor when diagnosed. Extrahepatic metastasis is known to occur; these are mainly reported via autopsy studies or isolated case reports. Knowledge of extrahepatic metastasis is crucial in order to avoid unnecessary surgery. We report a rare case of a patient at our center, diagnosed to have HCC, who underwent treatment successfully, only to come back with extrahepatic metastasis to the skeletal muscles.
    Matched MeSH terms: Prognosis
  20. Aziz H, Ping CY, Alias H, Ab Mutalib NS, Jamal R
    Front Pharmacol, 2017;8:897.
    PMID: 29270125 DOI: 10.3389/fphar.2017.00897
    It is believed that there are key differences in the genomic profile between adult and childhood acute myeloid leukemia (AML). Relapse is the significant contributor of mortality in patients with AML and remains as the leading cause of cancer death among children, posing great challenges in the treatment of AML. The knowledge about the genomic lesions in childhood AML is still premature as most genomic events defined in children were derived from adult cohorts. However, the emerging technologies of next generation sequencing have narrowed the gap of knowledge in the biology of AML by the detection of gene mutations for each sub-type which have led to the improvement in terms of prognostication as well as the use of targeted therapies. In this review, we describe the recent understanding of the genomic landscape including the prevalence of mutation, prognostic impact, and targeted therapies that will provide an insight into the pathogenesis of AML relapse in both adult and childhood cases.
    Matched MeSH terms: Prognosis
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