Displaying publications 1 - 20 of 360 in total

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  1. Topakian R, King A, Kwon SU, Schaafsma A, Shipley M, Markus HS, et al.
    Neurology, 2011 Aug 23;77(8):751-8.
    PMID: 21849657 DOI: 10.1212/WNL.0b013e31822b00a6
    Better methods are required to identify patients with asymptomatic carotid stenosis (ACS) at risk of future stroke. Two potential markers of high risk are echolucent plaque morphology on carotid ultrasound and embolic signals (ES) in the ipsilateral middle cerebral artery on transcranial Doppler ultrasound (TCD). We explored the predictive value of a score based on these 2 measures in the prospective, observational, international multicenter Asymptomatic Carotid Emboli Study.
    Matched MeSH terms: Predictive Value of Tests
  2. 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: Predictive Value of Tests
  3. Aziz A, Md Daud MK, Nik Othman NA, Abd Rahman N
    Otol Neurotol, 2020 09;41(8):e989-e992.
    PMID: 32472918 DOI: 10.1097/MAO.0000000000002725
    BACKGROUND: Presbycusis is an age-related sensorineural hearing loss and it may reduce quality of life. We conducted a study to establish the prevalence of high-frequency presbycusis in normal hearing individuals and to validate the role of extended high-frequency distortion product otoacoustic emission (DPOAE) in the screening.

    METHOD: A cross-sectional study was conducted among 205 normal hearing adult participants with an age range between 25 and 54 years old. Hearing analysis with extended high-frequency pure-tone audiometry (PTA) and high-frequency DPOAE was carried out for all eligible participants. High-frequency presbycusis was considered to be present when the impairment of more than 25 dB occurs at higher than 8 kHz frequencies on both ears.

    RESULTS: Prevalence of high-frequency presbycusis using extended PTA was 31.7 (95% CI: 25.3, 38.1) and using high-frequency DPOAE was 57.4 (95% CI: 50.7, 64.4). The sensitivity and specificity of high-frequency DPOAE in detecting high-frequency presbycusis were 72.3 and 49.3% respectively with positive predictive value of 39.8% and negative predictive value of 79.3%. The association between age and high-frequency presbycusis was significant based on high-frequency DPOAE (p = 0.029).

    CONCLUSIONS: The prevalence of high-frequency hearing loss is higher with increasing in age. High-frequency DPOAE may be used as a screening tool followed by confirmation using extended PTA. The early detection of presbycusis is important so that measures can be taken to prevent more severe problems developing.

    Matched MeSH terms: Predictive Value of Tests
  4. Saw ST, Leong BDK, Abdul Aziz DA
    Vasc Health Risk Manag, 2020;16:215-229.
    PMID: 32606718 DOI: 10.2147/VHRM.S250735
    INTRODUCTION: Abdominal aortic aneurysm (AAA) and coronary artery disease (CAD) share common risk factors. The objective of this study was to determine the prevalence of undiagnosed AAA in patients with angiographically diagnosed significant CAD.

    PATIENTS AND METHODS: Male patients aged 50 years and above (including indigenous people) with angiographically diagnosed significant CAD in the recent one year were screened for AAA. Standard definition of abdominal aortic aneurysm and CAD was used. All new patients were followed up for six months for AAA events (ruptured AAA and AAA-related mortality).

    RESULTS: A total of 277 male patients were recruited into this study. The total prevalence of undiagnosed AAA in this study population was 1.1% (95% CI 0.2-3.1). In patients with high-risk CAD, the prevalence of undiagnosed AAA was 1.7% (95% CI 0.3-4.8). The detected aneurysms ranged in size from 35.0mm to 63.8mm. Obesity was a common factor in these patients. There were no AAA-related mortality or morbidity during the follow-up. Although the total prevalence of undiagnosed AAA is low in the studied population, the prevalence of sub-aneurysmal aortic dilatation in patients with significant CAD was high at 6.6% (95% CI 3.9-10.2), in which majority were within the younger age group than 65 years old.

    CONCLUSION: This was the first study on the prevalence of undiagnosed AAA in a significant CAD population involving indigenous people in the island of Borneo. Targeted screening of patients with high-risk CAD even though they are younger than 65 years old effectively discover potentially harmful asymptomatic AAA and sub-aneurysmal aortic dilatations.

    Matched MeSH terms: Predictive Value of Tests
  5. Zin NM, Othman SN, Abd Rahman FR, Abdul Rachman AR
    Trop Biomed, 2019 Dec 01;36(4):1071-1080.
    PMID: 33597476
    Leptospirosis is a worldwide zoonotic disease caused by spirochetes of the genus Leptospira. The clinical manifestation of leptospirosis is non-specific and frequently misdiagnosed as other illnesses. The aim of this study was to compare the diagnostic accuracies of two commercial tests for early diagnosis of Leptospira species: the IgM latex agglutination test (IgM LAT) and the IgM enzyme-linked immunosorbent assay (IgM ELISA). A total of 140 serum samples were obtained from patients suspected of leptospirosis at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC). These serum samples were tested for the presence of Leptospira sp. using IgM LAT, IgM ELISA and MAT. From Table 1, IgM LAT showed 21% (n = 29) positive, 18% (n = 25) inconclusive and 61% (n = 86) negative, while IgM ELISA showed 6% (n = 8) positive, 6% (n = 8) inconclusive, 88% (n = 124) negative and MAT showed 11% (n = 16) positive, 47% (n = 65) inconclusive, 42% (n = 59) negative. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of IgM LAT were 68.8%, 57.6%, 30.6% and 87.2% respectively, while for IgM ELISA they were 37.5%, 89.8%, 50% and 84.1%, respectively as compared to MAT (Table 2). The results showed that IgM LAT had higher sensitivity but lower specificity compared to IgM ELISA. In conclusion, IgM LAT can be useful as an early screening test for early diagnosis of Leptospira sp., while IgM ELISA is a suitable method for reducing false negative detection of Leptospira sp. As both tests show moderate percentages (~65%) in accuracy, an additional test is required for better detection of Leptospira sp.
    Matched MeSH terms: Predictive Value of Tests
  6. Yii RSL, Lim J, Sothilingam S, Yeoh WS, Fadzli AN, Ong TA, et al.
    Asian J Surg, 2020 Jan;43(1):87-94.
    PMID: 30962017 DOI: 10.1016/j.asjsur.2019.02.014
    OBJECTIVES: To identify the associated factors determining prostate cancer detection using transrectal ultrasound (TRUS)-guided prostate biopsy, within a multi-ethnic Malaysian population with prostate specific antigen (PSA) between 4.0 and 10.0 ng/ml.

    METHODS: Study subjects included men with initial PSA between 4.0 and 10.0 ng/ml that have undergone 12-core TRUS-guided prostate biopsy between 2009 and 2016. The prostate cancer detection rate was calculated, while potential factors associated with detection were investigated via univariable and multivariable analysis.

    RESULTS: A total of 617 men from a multi-ethnic background encompassing Chinese (63.5%), Malay (23.1%) and Indian (13.3%) were studied. The overall cancer detection rate was 14.3% (88/617), which included cancers detected at biopsy 1 (first biopsy), biopsy 2 (second biopsy with previous negative biopsy) and biopsy ≥ 3 (third or more biopsies with prior negative biopsies). Indian men displayed higher detection rate (23.2%) and increased risk of prostate cancer development (OR 1.85, 95% CI 1.03-3.32, p 

    Matched MeSH terms: Predictive Value of Tests*
  7. Quar TK, Soli SD, Chan YF, Ishak WS, Abdul Wahat NH
    Int J Audiol, 2017 02;56(2):92-98.
    PMID: 27686009 DOI: 10.1080/14992027.2016.1210828
    OBJECTIVE: This study was conducted to evaluate the speech perception of Malaysian Chinese adults using the Taiwanese Mandarin HINT (MHINT-T) and the Malay HINT (MyHINT).

    DESIGN: The MHINT-T and the MyHINT were presented in quiet and noise (front, right and left) conditions under headphones. Results for the two tests were compared with each other and with the norms for each test.

    STUDY SAMPLE: Malaysian Chinese native speakers of Mandarin (N = 58), 18-31 years of age with normal hearing.

    RESULTS: On average, subjects demonstrated poorer speech perception ability than the normative samples for these tests. Repeated measures ANOVA showed that speech reception thresholds (SRTs) were slightly poorer on the MHINT-T than on the MyHINT for all test conditions. However, normalized SRTs were poorer by 0.6 standard deviations for MyHINT as compared with MHINT-T.

    CONCLUSIONS: MyHINT and MHINT-T can be used as norm-referenced speech perception measures for Mandarin-speaking Chinese in Malaysia.

    Matched MeSH terms: Predictive Value of Tests
  8. Lee HK, Ghani AR, Awang MS, Sayuthi S, Idris B, Abdullah JM
    Asian J Surg, 2010 Jan;33(1):42-50.
    PMID: 20497882 DOI: 10.1016/S1015-9584(10)60008-5
    Intracerebral haemorrhage (ICH) is the most disabling and least treatable form of stroke. Its risk factors include old age, hypertension, diabetes mellitus, hypercholesterolaemia, smoking and high alcohol intake, which are also associated with arterial stiffness. The aim of the present study was to determine the prognostic value of high augmentation index (AI), which is a surrogate marker of arterial stiffness, in patients with spontaneous ICH.
    Matched MeSH terms: Predictive Value of Tests
  9. Taha Z, Musa RM, P P Abdul Majeed A, Alim MM, Abdullah MR
    Hum Mov Sci, 2018 Feb;57:184-193.
    PMID: 29248809 DOI: 10.1016/j.humov.2017.12.008
    Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. However, the application of SVM for prediction and classification in specific sport has rarely been used to quantify/discriminate low and high-performance athletes. The present study classified and predicted high and low-potential archers from a set of fitness and motor ability variables trained on different SVMs kernel algorithms. 50 youth archers with the mean age and standard deviation of 17.0 ± 0.6 years drawn from various archery programmes completed a six arrows shooting score test. Standard fitness and ability measurements namely hand grip, vertical jump, standing broad jump, static balance, upper muscle strength and the core muscle strength were also recorded. Hierarchical agglomerative cluster analysis (HACA) was used to cluster the archers based on the performance variables tested. SVM models with linear, quadratic, cubic, fine RBF, medium RBF, as well as the coarse RBF kernel functions, were trained based on the measured performance variables. The HACA clustered the archers into high-potential archers (HPA) and low-potential archers (LPA), respectively. The linear, quadratic, cubic, as well as the medium RBF kernel functions models, demonstrated reasonably excellent classification accuracy of 97.5% and 2.5% error rate for the prediction of the HPA and the LPA. The findings of this investigation can be valuable to coaches and sports managers to recognise high potential athletes from a combination of the selected few measured fitness and motor ability performance variables examined which would consequently save cost, time and effort during talent identification programme.
    Matched MeSH terms: Predictive Value of Tests
  10. Abougalambou SS, Abougalambou AS
    Diabetes Metab Syndr, 2012 Jul-Sep;6(3):167-72.
    PMID: 23158982 DOI: 10.1016/j.dsx.2012.09.002
    OBJECTIVE: The aim of this study was to determine risk factors and prevalence of diabetic neuropathy (DN) among type II diabetic patients in Malaysian hospital setting.
    SUBJECTS AND METHODS: a observational prospective longitudinal follow up study design was selected, total no of respondents were 1077 type 2 diabetes mellitus outpatients recruited via attended the diabetes clinics at Hospital Universiti Sains Malaysia (HUSM) in Kelantan. The diagnosis of neuropathy was confirmed by nerve conduction studies. Logistic regression analysis was used to assess the independent variables that affect the development of neuropathy.
    RESULTS: The prevalence of nephropathy is 54.3%. Longitudinal logistic regression identified four predictive variables on the development and progression of diabetic neuropathy that are: duration of diabetes, retinopathy, HbA1c at second visit, and creatinine clearance third visit.
    CONCLUSION: Findings of this study show high prevalence of diabetic neuropathy. HbA1c and creatinine clearance are two modifiable risk factors for the development of diabetic neuropathy.
    Study site: Diabetes clinics, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Predictive Value of Tests
  11. Choo KE, Razif AR, Oppenheimer SJ, Ariffin WA, Lau J, Abraham T
    J Paediatr Child Health, 1993 Feb;29(1):36-9.
    PMID: 8461177
    Data are presented for 2382 children investigated for fever in a Malaysian hospital between 1984 and 1987 when Widal tests and blood cultures were a routine part of every fever screen. There were 145 children who were culture positive (TYP-CP) for Salmonella typhi, while 166 were culture negative but were diagnosed as having typhoid (TYP-CN). Analyses of the sensitivity and specificity of combinations of initial Widal titres in predicting a positive S. typhi culture in a febrile child (culture positive vs the rest) showed the best model to be an O- and/or H-titre of > or = 1 in 40 (sensitivity 89%; specificity 89%). While the negative predictive value of the model was high (99.2%) the positive predictive value remained below 50% even for very high titres of O and H (> 1 in 640), at which point the specificity was 98.5%, supporting the clinical view that a high proportion of the TYP-CN patients really were typhoid but were missed by culture. The TYP-CN patients showed a very similar clinical and age profile to TYP-CP patients. The length of history of fever did not affect the initial Widal titre in culture positive cases. The Widal test in children remains a sensitive and specific 'fever screen' for typhoid although it will not identify all cases. In children, lower cut-off points for O- and H-titres should be used than are generally recommended.
    Matched MeSH terms: Predictive Value of Tests
  12. Chin KL, Sarmiento ME, Norazmi MN, Acosta A
    Tuberculosis (Edinb), 2018 12;113:139-152.
    PMID: 30514496 DOI: 10.1016/j.tube.2018.09.008
    Tuberculosis (TB), caused by Mycobacterium tuberculosis complex (MTBC), is an infectious disease with more than 10.4 million cases and 1.7 million deaths reported worldwide in 2016. The classical methods for detection and differentiation of mycobacteria are: acid-fast microscopy (Ziehl-Neelsen staining), culture, and biochemical methods. However, the microbial phenotypic characterization is time-consuming and laborious. Thus, fast, easy, and sensitive nucleic acid amplification tests (NAATs) have been developed based on specific DNA markers, which are commercially available for TB diagnosis. Despite these developments, the disease remains uncontrollable. The identification and differentiation among MTBC members with the use of NAATs remains challenging due, among other factors, to the high degree of homology within the members and mutations, which hinders the identification of specific target sequences in the genome with potential impact in the diagnosis and treatment outcomes. In silico methods provide predictive identification of many new target genes/fragments/regions that can specifically be used to identify species/strains, which have not been fully explored. This review focused on DNA markers useful for MTBC detection, species identification and antibiotic resistance determination. The use of DNA targets with new technological approaches will help to develop NAATs applicable to all levels of the health system, mainly in low resource areas, which urgently need customized methods to their specific conditions.
    Matched MeSH terms: Predictive Value of Tests
  13. Baskaran ND, Gan GG, Adeeba K
    Ann Hematol, 2008 Jul;87(7):563-9.
    PMID: 18437382 DOI: 10.1007/s00277-008-0487-7
    The purpose of this study was to determine if the Multinational Association for Supportive Care in Cancer (MASCC) risk-index score is able to predict the outcome of febrile neutropenia in patients with underlying hematological malignancy and to look at the other possible predictors of outcome. A retrospective study of 116 episodes of febrile neutropenia in patients who were admitted to the hematology ward of a local medical center in Malaysia between January 1st 2004 and January 31st 2005. Patient characteristics and the MASCC score were compared with outcome. The MASCC score predicted the outcome of febrile neutropenic episodes with a positive predictive value of 82.9%, a sensitivity of 93%, and specificity of 67%. Other predictors of a favorable outcome were those patients who had lymphomas versus leukemias, duration of neutropenia of less than 7 days, low burden of illness characterized by the absence of an infective focus and absence of lower respiratory tract infection, a serum albumin of >25 g/l, and the absence of gram-negative bacteremia on univariate analysis but only serum albumin level, low burden of illness, and presence of respiratory infection were significantly associated with unfavorable outcome after multivariate analysis. The MASCC score is a useful predictor of outcome in patients with febrile neutropenia with underlying hematological malignancies. This scoring system may be adapted for use in local settings to guide the clinical management of patients with this condition.
    Matched MeSH terms: Predictive Value of Tests
  14. Acharya UR, Hagiwara Y, Adeli H
    Epilepsy Behav, 2018 11;88:251-261.
    PMID: 30317059 DOI: 10.1016/j.yebeh.2018.09.030
    In the past two decades, significant advances have been made on automated electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number of innovative algorithms have been introduced that can aid in epilepsy diagnosis with a high degree of accuracy. In recent years, the frontiers of computational epilepsy research have moved to seizure prediction, a more challenging problem. While antiepileptic medication can result in complete seizure freedom in many patients with epilepsy, up to one-third of patients living with epilepsy will have medically intractable epilepsy, where medications reduce seizure frequency but do not completely control seizures. If a seizure can be predicted prior to its clinical manifestation, then there is potential for abortive treatment to be given, either self-administered or via an implanted device administering medication or electrical stimulation. This will have a far-reaching impact on the treatment of epilepsy and patient's quality of life. This paper presents a state-of-the-art review of recent efforts and journal articles on seizure prediction. The technologies developed for epilepsy diagnosis and seizure detection are being adapted and extended for seizure prediction. The paper ends with some novel ideas for seizure prediction using the increasingly ubiquitous machine learning technology, particularly deep neural network machine learning.
    Matched MeSH terms: Predictive Value of Tests
  15. Sil BK, Jamiruddin MR, Haq MA, Khondoker MU, Jahan N, Khandker SS, et al.
    Int J Nanomedicine, 2021;16:4739-4753.
    PMID: 34267520 DOI: 10.2147/IJN.S313140
    BACKGROUND: Serological tests detecting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are widely used in seroprevalence studies and evaluating the efficacy of the vaccination program. Some of the widely used serological testing techniques are enzyme-linked immune-sorbent assay (ELISA), chemiluminescence immunoassay (CLIA), and lateral flow immunoassay (LFIA). However, these tests are plagued with low sensitivity or specificity, time-consuming, labor-intensive, and expensive. We developed a serological test implementing flow-through dot-blot assay (FT-DBA) for SARS-CoV-2 specific IgG detection, which provides enhanced sensitivity and specificity while being quick to perform and easy to use.

    METHODS: SARS-CoV-2 antigens were immobilized on nitrocellulose membrane to capture human IgG, which was then detected with anti-human IgG conjugated gold nanoparticle (hIgG-AuNP). A total of 181 samples were analyzed in-house. Within which 35 were further evaluated in US FDA-approved CLIA Elecsys SARS-CoV-2 assay. The positive panel consisted of RT-qPCR positive samples from patients with both <14 days and >14 days from the onset of clinical symptoms. The negative panel contained samples collected from the pre-pandemic era dengue patients and healthy donors during the pandemic. Moreover, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FT-DBA were evaluated against RT-qPCR positive sera. However, the overall efficacies were assessed with sera that seroconverted against either nucleocapsid (NCP) or receptor-binding domain (RBD).

    RESULTS: In-house ELISA selected a total of 81 true seropositive and 100 seronegative samples. The sensitivity of samples with <14 days using FT-DBA was 94.7%, increasing to 100% for samples >14 days. The overall detection sensitivity and specificity were 98.8% and 98%, respectively, whereas the overall PPV and NPV were 99.6% and 99%. Moreover, comparative analysis between in-house ELISA assays and FT-DBA revealed clinical agreement of Cohen's Kappa value of 0.944. The FT-DBA showed sensitivity and specificity of 100% when compared with commercial CLIA kits.

    CONCLUSION: The assay can confirm past SARS-CoV-2 infection with high accuracy within 2 minutes compared to commercial CLIA or in-house ELISA. It can help track SARS-CoV-2 disease progression, population screening, and vaccination response. The ease of use of the assay without requiring any instruments while being semi-quantitative provides the avenue of its implementation in remote areas around the globe, where conventional serodiagnosis is not feasible.

    Matched MeSH terms: Predictive Value of Tests
  16. Lim PG, Tan S, Ahmad TS
    J Hand Surg Eur Vol, 2008 Oct;33(5):645-7.
    PMID: 18662961 DOI: 10.1177/1753193408093326
    Anthropometric wrist measurement ratios were examined for an association with idiopathic carpal tunnel syndrome (CTS). Wrist measurements were recorded in 67 patients with CTS and in a matched control group of 67 healthy volunteers. The Wrist Ratio (WR) (wrist anterior to posterior dimension/wrist medial-lateral dimension) and the Wrist Palm Ratio (wrist anterior to posterior dimension/palm length) were calculated for each case. We found that a WR of > or =0.70 and a Wrist Palm Ratio of >0.342 were significantly associated with idiopathic CTS.
    Matched MeSH terms: Predictive Value of Tests
  17. Emelia O, Rahana AR, Mohamad Firdaus A, Cheng HS, Nursyairah MS, Fatinah AS, et al.
    Trop Biomed, 2014 Dec;31(4):633-40.
    PMID: 25776588 MyJurnal
    An accurate diagnosis for toxoplasmosis is crucial for pregnant women as this infection may lead to severe sequelae in the fetus. The value of IgG avidity assay as a tool to determine acute and chronic toxoplasmosis during pregnancy was evaluated in Universiti Kebangsaan Malaysia Medical Centre (UKMMC). In this study, 281 serum samples from 281 pregnant women in various trimesters were collected. These samples were assayed using specific anti-Toxoplasma IgM and IgG antibodies, followed by IgG avidity test. The overall seroprevalence of toxoplasmosis in pregnant women was 35.2% (33.5% for anti-Toxoplasma IgG and 1.8% for both anti-Toxoplasma IgG and IgM antibodies). Of 5 (1.8%) serum samples positive for IgM ELISA, 4 had high-avidity antibodies, suggesting past infection and one sample with borderline avidity index. Two samples with low avidity were from IgM negative serum samples. The IgG avidity assay exhibited an excellent specificity of 97.6% and a negative predictive value (NPV) of 95.6%. The study also demonstrated no significant correlation between avidity indexes of the sera with IgG (r=0.12, p=0.24) and IgM (r=-0.00, p=0.98), suggesting the complementary needs of the two tests for a better diagnosis outcome. These findings highlight the usefulness of IgG avidity assay in excluding a recently acquired toxoplasmosis infection in IgM-positive serum sample.
    Matched MeSH terms: Predictive Value of Tests
  18. Lim J, Hinotsu S, Onozawa M, Malek R, Sundram M, Teh GC, et al.
    Cancer Med, 2020 12;9(24):9346-9352.
    PMID: 33098372 DOI: 10.1002/cam4.3548
    The J-CAPRA score is an assessment tool which stratifies risk and predicts outcome of primary androgen deprivation therapy (ADT) using prostate-specific antigen, Gleason score, and clinical TNM staging. Here, we aimed to assess the generalisability of this tool in multi-ethnic Asians. Performance of J-CAPRA was evaluated in 782 Malaysian and 16,946 Japanese patients undergoing ADT from the Malaysian Study Group of Prostate Cancer (M-CaP) and Japan Study Group of Prostate Cancer (J-CaP) databases, respectively. Using the original J-CAPRA, 69.6% metastatic (M1) cases without T and/or N staging were stratified as intermediate-risk disease in the M-CaP database. To address this, we first omitted clinical T and N stage variables, and calculated the score on a 0-8 scale in the modified J-CAPRA scoring system for M1 patients. Notably, treatment decisions of M1 cases were not directly affected by both T and N staging. The J-CAPRA score threshold was adjusted for intermediate (modified J-CAPRA score 3-5) and high-risk (modified J-CAPRA score ≥6) groups in M1 patients. Using J-CaP database, validation analysis showed that overall survival, prostate cancer-specific survival, and progression-free survival of modified intermediate and high-risk groups were comparable to those of original J-CAPRA (p > 0.05) with Cohen's coefficient of 0.65. Around 88% M1 cases from M-CaP database were reclassified into high-risk category. Modified J-CAPRA scoring system is instrumental in risk assessment and treatment outcome prediction for M1 patients without T and/or N staging.
    Matched MeSH terms: Predictive Value of Tests
  19. Zyoud SH, Awang R, Sulaiman SA, Al-Jabi SW
    Basic Clin Pharmacol Toxicol, 2010 Nov;107(5):887-92.
    PMID: 20456332 DOI: 10.1111/j.1742-7843.2010.00594.x
    Identifying indices of poor prognosis at first presentation after acetaminophen poisoning is the key to both improving clinical care and determining targets for intervention. This study intended to document the prevalence, clinical characteristics and predictors of vomiting and to investigate the relationship between episodes of vomiting at first hospital presentation and outcome in acetaminophen poisoning. This retrospective cohort study included patients who attended the emergency department and were admitted within 24 hr of acetaminophen ingestion. The study was conducted over a period of 5 years from 1 January 2004 to 31 December 2008. Parametric and non-parametric tests were used to test differences between groups depending on the normality of the data. SPSS 15 was used for data analysis. Data from 291 patients were included. Vomiting was present in 65.3% of patients with acetaminophen poisoning at the time of first presentation. Multiple logistic regression showed that significant risk factors for vomiting were present among patients who reported an ingested dose of acetaminophen ≥10 g (p < 0.001) and a latency time of more than 8 hr (p = 0.030). Overall, an increasing trend in prothrombin time (p = 0.03), serum bilirubin (p < 0.001), serum creatinine (p = 0.005), serum potassium (p < 0.001), length of hospital stay (p < 0.001) and the prevalence of patients who had a serum acetaminophen level above a 'possible toxicity' treatment line (p = 0.001) were associated with an increased number of episodes of vomiting. In conclusion, vomiting was common among patients with acetaminophen poisoning. This study suggests that an increase in episodes of vomiting at first presentation appears to be an important risk marker of subsequent nephrotoxicity and hepatotoxicity.
    Matched MeSH terms: Predictive Value of Tests
  20. Al-Joudi FS
    Singapore Med J, 2005 Dec;46(12):710-3.
    PMID: 16308645
    INTRODUCTION: Decreased serum albumin (SA) levels have been used extensively as prognostic indicators in many chronic debilitating diseases. The decrease may be partly compensated by globular proteins. The failure of globulins to compensate may reflect advanced disease. We examined the prognostic value of the level of serum globulins in colorectal and breast cancers.
    METHODS: Data of 80 patients with advanced colon and breast cancers were analysed. Of these, 46 patients died within six months of measurement of their serum proteins, and the rest were followed-up for more than six months after measurements of their serum proteins were taken. A mathematical formula, representing the globulin compensation index (GCI), was recently developed from the measured SA levels and globulins. Patients were then classified into three categories: negative GCI and negative compensation; GCI of 0 to less than 1.0 with partial compensation; and GCI equal or greater than 1.0 with full compensation.
    RESULTS: Among the deceased patients, 45.7 percent had negative GCI, compared to 26.5 percent of patients in the survivors group. For partial compensation, 30.4 percent of patients were from the deceased group, and 32.4 percent were from the survivors group. For full compensation (elevated GCI), 23.9 percent of patients were from the deceased group, compared to 41.1 percent from the survivors group (p-value equals 0.031).
    CONCLUSION: Patients with low GCI are more likely to have bad prognoses, whereas those with higher GCI have more favourable prognoses. Globulin compensation may be a reliable prognostic factor in advanced colorectal and breast cancers, and possibly in other chronic illnesses. The GCI may serve as a useful tool in the measurement of this compensation.
    Matched MeSH terms: Predictive Value of Tests
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