Displaying publications 21 - 40 of 360 in total

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  1. Chen WS, Tan JH, Mohamad Y, Imran R
    Injury, 2019 May;50(5):1118-1124.
    PMID: 30591225 DOI: 10.1016/j.injury.2018.12.031
    BACKGROUND: The establishment of an accurate prognostic model in major trauma patients is important mainly because this group of patients will benefit the most. Clinical prediction models must be validated internally and externally on a regular basis to ensure the prediction is accurate and current. This study aims to externally validate two prediction models, the Trauma and Injury Severity Score model developed using the Major Trauma Outcome Study in North America (MTOS-TRISS model), and the NTrD-TRISS model, which is a refined MTOS-TRISS model with coefficients derived from the Malaysian National Trauma Database (NTrD), by regarding mortality as the outcome measurement.

    METHOD: This retrospective study included patients with major trauma injuries reported to a trauma centre of Hospital Sultanah Aminah over a 6-year period from 2011 and 2017. Model validation was examined using the measures of discrimination and calibration. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC) and 95% confidence interval (CI). The Hosmer-Lemeshow (H-L) goodness-of-fit test was used to examine calibration capabilities. The predictive validity of both MTOS-TRISS and NTrD-TRISS models were further evaluated by incorporating parameters such as the New Injury Severity Scale and the Injury Severity Score.

    RESULTS: Total patients of 3788 (3434 blunt and 354 penetrating injuries) with average age of 37 years (standard deviation of 16 years) were included in this study. All MTOS-TRISS and NTrD-TRISS models examined in this study showed adequate discriminative ability with AUCs ranged from 0.86 to 0.89 for patients with blunt trauma mechanism and 0.89 to 0.99 for patients with penetrating trauma mechanism. The H-L goodness-of-fit test indicated the NTrD-TRISS model calibrated as good as the MTOS-TRISS model for patients with blunt trauma mechanism.

    CONCLUSION: For patients with blunt trauma mechanism, both the MTOS-TRISS and NTrD-TRISS models showed good discrimination and calibration performances. Discrimination performance for the NTrD-TRISS model was revealed to be as good as the MTOS-TRISS model specifically for patients with penetrating trauma mechanism. Overall, this validation study has ascertained the discrimination and calibration performances of the NTrD-TRISS model to be as good as the MTOS-TRISS model particularly for patients with blunt trauma mechanism.

    Matched MeSH terms: Predictive Value of Tests
  2. Dollah R, Yaacob A, Ismail AH, Che Hussin CM
    Objective: The assay for anti-cyclic citrullinated peptide (anti-CCP) antibody is a recent test of interest due to low diagnostic specificity of rheumatoid factor in the diagnosis of rheumatoid arthritis. To determine the sensitivity and specificity of anti-CCP antibodies in rheumatoid arthritis patients using American College of Rheumatology (ACR) criteria as a gold standard.
    Design: A cross sectional study was conducted from January 2008 to December 2008 on 100 patients with rheumatoid arthritis and 153 patients with arthritis or arthralgia but not fulfilling ACR criteria for rheumatoid arthritis.
    Materials and Methods: Serum from each subject was tested for anti-CCP antibodies and IgM rheumatoid factor (IgM RF) by an enzyme linked immunosorbent assay (ELISA). Sensitivity and specificity of the tests were evaluated using the ACR criteria as the gold standard. Data was analyzed using SPSS version 12.0 software. The association between the two categorical variables were tested using chi-square test. The differences between the two groups were tested using independent t-test. Results: The sensitivity of anti-CCP antibodies was 71% with 94.8% of specificity. For rheumatoid factor the sensitivity was 85% and the specificity was 74.5%. Positive predictive value for anti-CCP antibodies was 89.9% whereas for rheumatoid factor it was 68.5%. The sensitivity of ACR criteria with inclusion of anti- CCP antibodies was 100% and specificity of 94.8% (95%CI: 91.3%, 98.2%).
    Conclusion: Anti-CCP antibody has a higher diagnostic accuracy compared to the RF. Anti-CCP antibody is a useful laboratory marker to support the diagnosis of rheumatoid arthritis and to differentiate patients with rheumatoid arthritis from rheumatoid arthritis-like symptoms. Therefore, it is suggested that anti-CCP antibodies should be included as another laboratory supportive criterium besides RF test in ACR criteria in the diagnosis of RA.
    Study site: family medicine clinic, rheumatology clinic and immunology laboratory of Hospital Universiti Sains Malaysia (HUSM), Kubang Kerian, Kelantan, Malaysia
    Matched MeSH terms: Predictive Value of Tests
  3. Arcari L, Hinojar R, Engel J, Freiwald T, Platschek S, Zainal H, et al.
    Int J Cardiol, 2020 05 01;306:102-108.
    PMID: 32169347 DOI: 10.1016/j.ijcard.2020.03.002
    AIMS: Profound left ventricular (LV) hypertrophy with diastolic dysfunction and heart failure is the cardinal manifestation of heart remodelling in chronic kidney disease (CKD). Previous studies related increased T1 mapping values in CKD with diffuse fibrosis. Native T1 is a non-specific readout that may also relate to increased intramyocardial fluid. We examined concomitant T1 and T2 mapping signatures and undertook comparisons with other hypertrophic conditions.

    METHODS: In this prospective multicentre study, consecutive CKD patients (n = 154) undergoing routine clinical cardiac magnetic resonance (CMR) imaging were compared with patients with hypertensive (HTN, n = 163) and hypertrophic cardiomyopathy (HCM, n = 158), and normotensive controls (n = 133).

    RESULTS: Native T1 was significantly higher in all patient groups, whereas native T2 in CKD only (p 

    Matched MeSH terms: Predictive Value of Tests
  4. Chai CA, Yeoh WS, Rajandram R, Aung KP, Ong TA, Kuppusamy S, et al.
    Front Surg, 2021;8:659292.
    PMID: 34055868 DOI: 10.3389/fsurg.2021.659292
    Purpose: Guidelines advocate cystoscopy surveillance (CS) for non-muscle invasive bladder cancer (NMIBC) post-resection. However, cystoscopy is operator dependent and may miss upper tract lesions or carcinoma in-situ (CIS). Urine cytology is a common adjunct but lacks sensitivity and specificity in detecting recurrence. A new mRNA biomarker (CxBladder) was compared with urine cytology as an adjunct to cystoscopy in detecting a positive cystoscopy findings during surveillance cystoscopy in our center. Materials and Methods: Consented patients older than 18, undergoing CS for NMIBC, provide paired urine samples for cytology and CxBladder test. Patients with positive cystoscopy findings would undergo re-Trans Urethral Resection of Bladder Tumor (TURBT). Results: Thirty-five patients were enrolled from April to June 2019. Seven contaminated urine samples were excluded. The remaining cohort of 23 (82%) and 5 (18%) females had a mean age of 66.69 (36-89). Eight (29%) patients with positive cystoscopy finding underwent TURBT. All 8 patients also had positive CxBladder result. This shows that CxBladder has a sensitivity and negative predictive value (NPV) of 100%, specificity of 75% and positive predictive value (PPV) of 62% in predicting a positive cystoscopy finding. TURBT Histo-pathological findings showed Low-grade Ta NMIBC in one patient (4%), and 7 (25%) patients had inflammatory changes. Urine cytology was only positive in one patient with a positive cystoscopy finding. This led to a sensitivity of merely 13% and NPV of 74%, while specificity and PPV was 100% in predicting a positive cystoscopy finding. Conclusion: CxBladder had high NPV and sensitivity which accurately predicted suspicious cystoscopy findings leading to further investigation. It has great potential for use as adjunct to cystoscopy for surveillance of NMIBC.
    Matched MeSH terms: Predictive Value of Tests
  5. Suzana S, Siti Saifa H
    Malays J Nutr, 2007 Mar;13(1):29-44.
    PMID: 22692187 MyJurnal
    This cross sectional study was conducted to determine the validity of three screening tools, Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Risk Screening Tool for Community (MRST-C) and Malnutrition Risk Screening Tool for Hospital (MRST-H) among elderly people at health clinics. The screening tools were validated against anthropometric and functional assessments. The anthropometric assessments that were carried out included body weight, height, arm span, body mass index (BMI), calf circumference (CC) and mid upper arm circumference (MUAC). A set of questionnaire on manual dexterity, muscular strength, instrumental activities daily living (IADL) and cognitive status was used to assess functional abilities. A total of 156 subjects were recruited from rural (38 subjects) and urban (118 subjects) health clinics at Sabak Bernam and Cheras respectively. Subjects' age ranged from 60 to 83 years old, with 44.2% were men and 55.8% women. The prevalence of muscle wasting among the subjects assessed from MUAC and CC were both 7.0%. MNA-SF had the highest correlation with BMI (r = 0.497, p<0.001), followed by MUAC (r = 0.398, p<0.001), CC (r = 0.473, p<0.001), cognitive assessment (r = 0.229, p<0.001) and handgrip strength (r = 0.209, p<0.001). Whilst MRST-C had the highest correlation with IADL score (r =-0.320, p<0.001) and MRST-H had the highest correlation with the lock and key test (r = -0.325, p<0.01). Sensitivity was the highest for MNA-SF (93.2%), followed by MRST-H (52.5%) and MRST-C (25.8%). Specificity was the highest for MRST-H (97.3%), followed by MRST-C (90.8%) and MNA-SF (79.4%). Positive predictive value (PPV) for MRST-H, MNA-SF and MRST-C was 55.5%, 18.2% and 14.1%, respectively. In conclusion, among the screening tools being validated, MNA-SF is considered the most appropriate tool to be used in health clinics for identification of elderly individuals who are at high risk of malnutrition.
    Matched MeSH terms: Predictive Value of Tests
  6. Goodson ML, Smith DR, Thomson PJ
    J Oral Pathol Med, 2019 Sep;48(8):662-668.
    PMID: 31125457 DOI: 10.1111/jop.12881
    BACKGROUND: Nomograms are graphical calculating devices used to predict risk of malignant transformation (MT) or response to treatment during cancer management. To date, a nomogram has not been used to predict clinical outcome during oral potentially malignant disorder (PMD) treatment. The aim of this study was to create a nomogram for use by clinicians to predict the probability of MT, thereby facilitating accurate assessment of risk and objective decision-making during individual patient management.

    METHODS: Clinico-pathological data from a previously treated cohort of 590 newly presenting PMD patients were reviewed and clinical outcomes categorized as disease free, persistent PMD or MT. Multiple logistic regression was used to predict the probability of MT in the cohort using age, gender, lesion type, site and incision biopsy histopathological diagnoses. Internal validation and calibration of the model was performed using the bootstrap method (n = 1000), and bias-corrected indices of model performance were computed.

    RESULTS: Potentially malignant disorders were predominantly leukoplakias (79%), presenting most frequently at floor of mouth and lateral tongue sites (51%); 99 patients (17%) developed oral squamous cell carcinoma during the study period. The nomogram performed well when MT predictions were compared with patient outcome data, demonstrating good bias-corrected discrimination and calibration (Dxy  = 0.58; C = 0.790), with a sensitivity of 87% and specificity 63%, and a positive predictive value of 32% and negative predictive value 96%.

    CONCLUSION: The "Newcastle Nomogram" has been developed to predict the probability of MT in PMD, based on an internally validated statistical model. Based upon readily available and patient-specific clinico-pathological data, it provides clinicians with a pragmatic diagrammatic aid for clinical decision-making during diagnosis and management of PMD.

    Matched MeSH terms: Predictive Value of Tests
  7. Zhou H, Zainal H, Puntmann VO
    Aging (Albany NY), 2019 03 25;11(6):1609-1610.
    PMID: 30908271 DOI: 10.18632/aging.101890
    Matched MeSH terms: Predictive Value of Tests
  8. Agatonovic-Kustrin S, Alany RG
    Pharm Res, 2001 Jul;18(7):1049-55.
    PMID: 11496944
    PURPOSE: A genetic neural network (GNN) model was developed to predict the phase behavior of microemulsion (ME), lamellar liquid crystal (LC), and coarse emulsion forming systems (W/O EM and O/W EM) depending on the content of separate components in the system and cosurfactant nature.

    METHOD: Eight pseudoternary phase triangles, containing ethyl oleate as the oil component and a mixture of two nonionic surfactants and n-alcohol or 1,2-alkanediol as a cosurfactant, were constructed and used for training, testing, and validation purposes. A total of 21 molecular descriptors were calculated for each cosurfactant. A genetic algorithm was used to select important molecular descriptors, and a supervised artificial neural network with two hidden layers was used to correlate selected descriptors and the weight ratio of components in the system with the observed phase behavior.

    RESULTS: The results proved the dominant role of the chemical composition, hydrophile-lipophile balance, length of hydrocarbon chain, molecular volume, and hydrocarbon volume of cosurfactant. The best GNN model, with 14 inputs and two hidden layers with 14 and 9 neurons, predicted the phase behavior for a new set of cosurfactants with 82.2% accuracy for ME, 87.5% for LC, 83.3% for the O/W EM, and 91.5% for the W/O EM region.

    CONCLUSIONS: This type of methodology can be applied in the evaluation of the cosurfactants for pharmaceutical formulations to minimize experimental effort.

    Matched MeSH terms: Predictive Value of Tests
  9. Tajfard M, Latiff LA, Rahimi HR, Moohebati M, Hasanzadeh M, Emrani AS, et al.
    Mol Cell Biochem, 2017 Nov;435(1-2):37-45.
    PMID: 28534120 DOI: 10.1007/s11010-017-3054-5
    Cytokines play a key role in the pathogenesis of coronary artery disease (CAD). The aim of current study was to investigate the relationship between the serum concentrations of 12 cytokines with mortality and extent of CAD in individuals undergoing angiography and healthy controls. 342 CAD patients were recruited and divided into 2 groups: those with ≥50% occlusion in at least one coronary artery [Angiography (+)] or <50% obstruction in coronary arteries [Angiography (-)]. Also 120 healthy subjects were enrolled as control group. Lipid profile, fasting blood glucose, body mass index, and blood pressure were evaluated in all the subjects. An Evidence Investigator® was used for measuring 12 cytokines (IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, MCP-1, IFN-γ, EGF, VEGF) using sandwich chemiluminescent assays. Univariate analysis, multivariate regression models, ROC, and Kaplan-Meier survival curves were used for exploring the candidate markers in CAD patients. Serum level of IFN-γ, IL-4, MCP-1, EGF, IL-6, and IL-8 were markedly higher in angiogram-positive patients, while VEGF concentrations were significantly (P 2.16 pg/mL IL-6 had a > 94% sensitivity and 70% specificity in predicting 2 years mortality in the subjects with a serum MCP-1 > 61.95 pg/ mL, and patients having IL-6/MCP-1 combination had a shorter survival.Our findings demonstrate that CAD patients with serum MCP-1 and IL-6 levels of >61.95 and >2.16 pg/mL had a higher mortality with 94.1% sensitivity and 70.5% specificity for predicting mortality in CAD patients.
    Matched MeSH terms: Predictive Value of Tests
  10. Adil SO, Musa KI, Uddin F, Shafique K, Khan A, Islam MA
    Front Endocrinol (Lausanne), 2023;14:1223424.
    PMID: 37876536 DOI: 10.3389/fendo.2023.1223424
    INTRODUCTION: Anthropometric indices are affordable and non-invasive methods for screening metabolic syndrome (MetS). However, determining the most effective index for screening can be challenging.

    OBJECTIVE: To investigate the accuracy of anthropometric indices as a screening tool for predicting MetS among apparently healthy individuals in Karachi, Pakistan.

    METHODS: A community-based cross-sectional survey was conducted in Karachi, Pakistan, from February 2022 to August 2022. A total of 1,065 apparently healthy individuals aged 25 years and above were included. MetS was diagnosed using International Diabetes Federation guidelines. Anthropometric indices were defined based on body mass index (BMI), neck circumference (NC), mid-upper arm circumference (MUAC), waist circumference (WC), waist to height ratio (WHtR), conicity index, reciprocal ponderal index (RPI), body shape index (BSI), and visceral adiposity index (VAI). The analysis involved the utilization of Pearson's correlation test and independent t-test to examine inferential statistics. The receiver operating characteristic (ROC) analysis was also applied to evaluate the predictive capacities of various anthropometric indices regarding metabolic risk factors. Moreover, the area under the curve (AUC) was computed, and the chosen anthropometric indices' optimal cutoff values were determined.

    RESULTS: All anthropometric indices, except for RPI in males and BSI in females, were significantly higher in MetS than those without MetS. VAI [AUC 0.820 (95% CI 0.78-0.86)], WC [AUC 0.751 (95% CI 0.72-0.79)], WHtR [AUC 0.732 (95% CI 0.69-0.77)], and BMI [AUC 0.708 (95% CI 0.66-0.75)] had significantly higher AUC for predicting MetS in males, whereas VAI [AUC 0.693 (95% CI 0.64-0.75)], WHtR [AUC 0.649 (95% CI 0.59-0.70)], WC [AUC 0.646 (95% CI 0.59-0.61)], BMI [AUC 0.641 (95% CI 0.59-0.69)], and MUAC [AUC 0.626 (95% CI 0.57-0.68)] had significantly higher AUC for predicting MetS in females. The AUC of NC for males was 0.656 (95% CI 0.61-0.70), while that for females was 0.580 (95% CI 0.52-0.64). The optimal cutoff points for all anthropometric indices exhibited a high degree of sensitivity and specificity in predicting the onset of MetS.

    CONCLUSION: BMI, WC, WHtR, and VAI were the most important anthropometric predictors for MetS in apparently healthy individuals of Pakistan, while BSI was found to be the weakest indicator.

    Matched MeSH terms: Predictive Value of Tests
  11. Hisamuddin Nar N, Suhailan M A
    Int J Emerg Med, 2011;4:67.
    PMID: 22032555 DOI: 10.1186/1865-1380-4-67
    INTRODUCTION: Cardiac biomarkers may be invaluable in establishing the diagnosis of acute myocardial infarction (AMI) in the ED setting.
    OBJECTIVE: To assess the diagnostic indices of the Cardio Detect assay and the quantitative cardiac troponin T test, in diagnosing AMI in the ED, according to the time of onset of chest pain.
    METHODOLOGY: A total of 80 eligible patients presenting with ischemic type chest pain with duration of symptoms within the last 36 h were enrolled. All patients were tested for H-FABP and troponin T at presentation to the ED. A repeated Cardio Detect test was performed 1 h after the initial negative result, and a repeated troponin T test was also performed 8-12 h after an initial negative result. The diagnostic indices [sensitivity, specificity, positive predictive value, negative predictive value, receiver operating curve (ROC)] were analyzed for Cardio Detect and Troponin T (individually and in combination) and also for the repeat Cardio Detect test. Data entry and analysis were performed using SPSS version 12.0 and Analyze-it software.
    RESULTS: The Cardio Detect test was more sensitive and had a higher NPV than the troponin T (TnT) test during the first 12 h of onset of chest pain. The repeat Cardio Detect had better sensitivity and NPV than the initial Cardio Detect. The sensitivity and NPV of the combination test (Cardio Detect and troponin T) were also superior to each test performed individually.
    CONCLUSION: The Cardio Detect test is more sensitive and has a better NPV than the troponin T test during the first 12 h of AMI. It may be used to rule out myocardial infarction during the early phase of ischemic chest pain.
    Matched MeSH terms: Predictive Value of Tests
  12. Dench E, Bond-Smith D, Darcey E, Lee G, Aung YK, Chan A, et al.
    BMJ Open, 2019 Dec 31;9(12):e031041.
    PMID: 31892647 DOI: 10.1136/bmjopen-2019-031041
    INTRODUCTION: For women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that could potentially be used in a screening setting to identify and target women at high risk of developing breast cancer. However, it is unclear which measurement method provides the strongest predictor of breast cancer risk.

    METHODS AND ANALYSIS: The measurement challenge has been established as an international resource to offer a common set of anonymised mammogram images for measurement and analysis. To date, full field digital mammogram images and core data from 1650 cases and 1929 controls from five countries have been collated. The measurement challenge is an ongoing collaboration and we are continuing to expand the resource to include additional image sets across different populations (from contributors) and to compare additional measurement methods (by challengers). The intended use of the measurement challenge resource is for refinement and validation of new and existing mammographic measurement methods. The measurement challenge resource provides a standardised dataset of mammographic images and core data that enables investigators to directly compare methods of measuring mammographic density or other mammographic features in case/control sets of both raw and processed images, for the purposes of the comparing their predictions of breast cancer risk.

    ETHICS AND DISSEMINATION: Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. The Challenge database of collated data and images are stored in a secure data repository at the University of Melbourne. Ethics approval for the measurement challenge is held at University of Melbourne (HREC ID 0931343.3).

    Matched MeSH terms: Predictive Value of Tests
  13. Choo CC, Chew PKH, Ho RC
    PMID: 29621197 DOI: 10.3390/ijerph15040691
    An important risk factor for suicide assessment is the suicide precipitant. This study explores suicide attempt precipitants across the lifespan. Three years of medical records related to suicide attempters who were admitted to the emergency department of a large teaching hospital in Singapore were subjected to analysis. These cases were divided into three age groups: Adolescence, Early Adulthood, and Middle Adulthood. A total of 540 cases were examined (70.9% females; 63.7% Chinese, 13.7% Malays, 15.9% Indians), whose ages ranged from 12 to 62. There were eight cases above the age of 65 years which were excluded from the analysis. Significant differences were found in precipitants for suicide attempts across the lifespan. Middle adults had relatively fewer relationship problems, and adolescents had comparatively fewer financial and medical problems. The models to predict medically severe attempts across the age groups using suicide precipitants were not significant. The findings were discussed in regards to implications in suicide assessment and primary prevention in Singapore, as well as limitations and recommendations for future research.
    Matched MeSH terms: Predictive Value of Tests*
  14. Nayak C, Nayak D, Bhat S, Raja A, Rao A
    Clin Chem Lab Med, 2007;45(5):629-33.
    PMID: 17484625
    Experimental data indicate that destructive oxidative events reach their peak within the first 24 h after trauma in head injury (HI) and that brain damage occurring due to this impact can be the cause of death or irreversible permanent disabilities in affected patients.
    Matched MeSH terms: Predictive Value of Tests*
  15. Yazdani S, Yusof R, Riazi A, Karimian A
    Diagn Pathol, 2014;9:207.
    PMID: 25540017 DOI: 10.1186/s13000-014-0207-7
    Brain segmentation in magnetic resonance images (MRI) is an important stage in clinical studies for different issues such as diagnosis, analysis, 3-D visualizations for treatment and surgical planning. MR Image segmentation remains a challenging problem in spite of different existing artifacts such as noise, bias field, partial volume effects and complexity of the images. Some of the automatic brain segmentation techniques are complex and some of them are not sufficiently accurate for certain applications. The goal of this paper is proposing an algorithm that is more accurate and less complex).
    Matched MeSH terms: Predictive Value of Tests
  16. Ishak MH, Zhun OC, Shaari R, Rahman SA, Hasan MN, Alam MK
    Mymensingh Med J, 2014 Oct;23(4):781-6.
    PMID: 25481601
    This study evaluated the validity of panoramic radiography and cone beam computed tomography (CBCT) in the assessment of mandibular canal and impacted third molar. In this descriptive-analytical study, 58 mandibular third molars from 42 patients who showed a close relationship between impacted third molar and canal on panoramic radiographs were selected. They were then classified into seven radiographic markers in panoramic radiographs (superimposition, darkening of the root, interruption of the white lines, root narrowing, canal diversion, canal narrowing, and also closed distance in OPG <1mm). The groups of markers were further assessed with CBCT to see presence or absence of contact. The three most common markers seen in panoramic images are superimposition, interruption of white line and root darkening. In CBCT, superimposition marker always presented higher frequency of contact with canal compared to non-contact group. There are 31% of teeth presented with interruption of white lines and there are 29.3% of teeth presented with superimposition. About 55.6% and 35.3% of the impacted mandibular third molars which indicated interruption of white lines and superimposition also indicated contact in the CBCT respectively. Presence or absence of radiological sign in panoramic radiography was not properly predict a close relationship with third molar and it is suggested that in case of tooth-canal overlapping, the patient should be referred for CBCT assessment.
    Matched MeSH terms: Predictive Value of Tests
  17. Rashid A, Tahir I
    J Cross Cult Gerontol, 2015 Mar;30(1):69-85.
    PMID: 25349019 DOI: 10.1007/s10823-014-9248-3
    The population of Malaysia is relatively young, due to this there is a dearth in research conducted among the elderly especially relating to depression. The aim of this study is to determine the prevalence and the predictors of severe depression among the elderly in Malaysia. A sample of 2005 older adults randomly selected from the Penang State government's list of elderly receiving aid participated in the study. The Geriatric Depression Scale was used to screen for depression. Socio-demographic, social support, disease, functional and other factors were looked at as possible predictor variables. The prevalence of severe depression was 19.2 %. Indians (aOR = 2.0), being married (aOR = 10.5), widowed & divorced (aOR = 5.2), having poor (aOR = 2.7) or moderate social support (aOR = 2.7), having no one (aOR = 2.9), relatives (aOR = 2.3) or religious figures & others (aOR = 1.9) as compared to a spouse as a source of emotional support, feeling extremely lonely (aOR = 3.4), not socially active (aOR = 2.3), cognitively impaired (aOR 2.5), activities limited due to illness or disability (aOR = 1.6) and poor sleep quality (aOR = 3.6) were significant predictor variables. The prevalence of severe depression was high. It is pertinent that older adults, especially those with risk factors identified in this study be screened for depression at every opportunity.
    Device, Questionnaire & Scale: Geriatric Depression Scale (GDS-30)
    Matched MeSH terms: Predictive Value of Tests
  18. Leow HR, Ching SM, Sujarita R, Yap CF, Chia YC, Ho SH, et al.
    J Dig Dis, 2014 Nov;15(11):591-6.
    PMID: 25139629 DOI: 10.1111/1751-2980.12183
    OBJECTIVE:
    To develop and validate a Mandarin version of the Leeds Dyspepsia Questionnaire (M-LDQ) in Asian patients with dyspepsia.

    METHODS:
    The M-LDQ was developed according to standardized methods. The validity, internal consistency, test-retest reliability and responsiveness of the instrument were evaluated in both primary and secondary care patients.

    RESULTS:
    A total of 184 patients (mean age 54.0 ± 15.8 years, of whom 59% were women and 72.3% of whom had at least secondary level education) were recruited between August 2012 and March 2013, from both primary (n = 100) and secondary care clinics (n = 84). Both the internal consistency of all components of the M-LDQ (Cronbach's α 0.79) and test-retest reliability (Spearman's correlation coefficient 0.78) were good. The M-LDQ was valid in diagnosing dyspepsia in primary care (area under the receiver operating characteristics curve 0.84) and was able to discriminate between secondary and primary care patients (median cumulative LDQ score 13.0 vs 3.0, P < 0.0001). Among eight patients with organic dyspepsia, the median M-LDQ score reduced significantly from 21.0 (pretreatment) to 9.5 (4 weeks post-treatment) (P < 0.0001).

    CONCLUSION:
    The M-LDQ is a valid and responsive instrument for assessing ethnic Chinese adults with dyspepsia.

    KEYWORDS:
    Mandarin; ethnic Chinese; functional dyspepsia; outcome measure; questionnaire; validation
    Matched MeSH terms: Predictive Value of Tests
  19. Ho CC, Ngoo KS, Hamzaini AH, Rizal AM, Zulkifli MZ
    Clin Ter, 2014;165(2):75-81.
    PMID: 24770808 DOI: 10.7471/CT.2014.1680
    OBJECTIVE: To determine the clinical utility of urinary bladder and prostate characteristics measured by ultrasound scan in predicting acute urinary retention (AUR) for men with bladder outlet obstruction with an underlying benign prostate hyperplasia (BPH).
    MATERIALS AND METHODS: Consecutive men aged ≥50 years presenting with lower urinary tract symptoms (LUTS) or AUR were prospectively recruited in this cross-sectional study. International prostatic symptom score (IPSS) and serum prostate-specific antigen (PSA) were recorded. High-resolution ultrasound was used to measure bladder detrusor thickness (DT, mm), prostatic volume (PV, cm3), intravesical prostatic protrusion (IPP, mm), bladder wall thickness (BWT,mm), intravesical volume and bladder radius. The latter two parameters were used to estimate bladder weight (UEBW, g), assuming a spherical bladder.
    RESULTS: Among selected patients, thirty had AUR while 32 men presented with LUTS only. There were significant differences between those with and without AUR in their age (70.5 vs 66.0, p=0.017), IPSS (24.0 vs 18.5, p=0.009), serum PSA (6.18 vs 1.77, p=0.002), PV (56.7 vs 32.4, p=0.006), BWT (5.0 vs 4.4, p=0.034) and UEBW (39.1 vs 25.0, p=0.0003). Multivariate analysis revealed high IPSS and UEBW to be predictors for AUR. UEBW was the strongest predictor of AUR: area under ROC curve was 0.767, with sensitivity and specificity of 63.3% and 87.5%, respectively, at cut-off point of 35 g. The likelihood ratio for AUR was also best with UEBW≥35 g.
    CONCLUSIONS: Combined with IPSS, ultrasound determined bladder characteristic, particularly UEBW, is a useful tool in predicting AUR in men with BPH.
    Matched MeSH terms: Predictive Value of Tests
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