Displaying publications 61 - 80 of 433 in total

Abstract:
Sort:
  1. Sukeepaisarnjaroen W, Pham T, Tanwandee T, Nazareth S, Galhenage S, Mollison L, et al.
    World J Gastroenterol, 2015 Jul 28;21(28):8660-9.
    PMID: 26229408 DOI: 10.3748/wjg.v21.i28.8660
    To examined the efficacy and safety of treatment with boceprevir, PEGylated-interferon and ribavirin (PR) in hepatitis C virus genotype 1 (HCVGT1) PR treatment-failures in Asia.
    Matched MeSH terms: Multivariate Analysis
  2. Suhaimi Hussain, Wong A. Rahim, Ibrahim W. Pauzi W., Naing, N.N.
    MyJurnal
    Introduction: There are many factors that determine the survival of patients with VSD. Among these include size of VSD, position, pulmonary hypertension, bacterial sepsis, valvular involvement, associated anomalies with VSD, associated syndromes and age at first diagnosis. There has been no published local data as far as we know and this information will be useful especially for consultation with parents. Even though VSD in general has a good prognosis, whenever they have added risks for example pulmonary hypertension then they are at risk of further morbidity and mortality. Objective: To determine the factors that are associated with survival of patients with VSD. Design: Retrospective cohort. Materials and methods: All cases of isolated VSDs admitted to HUSM from 1996 to 2003 were reviewed. Results: Univariate Cox regression of survival time of patients with VSDs revealed that 4 factors had prognostic significance namely bacterial sepsis (HR= 287.7, 95% CI 51.1, 1618.5, P < 0.001), Down syndrome (HR = 14.89, 95% CI 3.00, 73.92, P = 0.001), pulmonary hypertension (HR=14.58, 95% CI 1.69, 125.7, P=0.015) and large VSDs (HR=8.23, 95% CI 1.5, 45, P=0.015). Bacterial sepsis was the only significant prognostic factors for the survival of patients with VSDs using the multivariate Cox proportional hazard model. Conclusion: Bacterial sepsis, pulmonary hypertension, large VSD and Down syndrome were the significant prognostic factors from Univariate Cox analysis, however bacterial sepsis was the only significant prognostic factor from Multivariate Cox analysis.
    Matched MeSH terms: Multivariate Analysis
  3. Sriram PR, Sellamuthu P, Ghani ARI
    Malays J Med Sci, 2017 Dec;24(6):58-67.
    PMID: 29379387 DOI: 10.21315/mjms2017.24.6.7
    Background: Despite the broad category of differentials for sellar region, most of them present with similar clinical signs and symptoms. Headache and visual disturbance are among the frequently seen as presenting symptom. Visual field (VF) assessment is one of the crucial component of neuroophtalmologic assessment and mean deviation (MD) value from automated perimetry allows quantification of the visual field defect. We formulated a study to look into the factors that affect the visual field outcome after surgery.

    Methods: All patients with sellar region tumor who has underwent surgery in Queen Elizabeth Hospital from July 2010 to July 2016 were retrospectively analysed through hospital notes. VF assessment via Humphrey visual assessment for these patient pre and post-surgery were reviewed for MD value.

    Results: Eighty four patients were recruited and out of them, 151 eyes were taken into analysis after excluding eyes with missing data. Mean age of patients were 45.4 years with 70.2% of them were male. Visual disturbance is the commonest presenting symptom with mean duration of symptom prior to surgery is 9.7 months. Majority of them were pituitary adenomas (75%) followed by sellar meningioma (19%), craniopharyngioma (4.8%), and rathke cleft cyst (1.2%). 70.9% of patients showed improvement in VF based on MD outcome. Mean MD for pre surgery and post-surgery were -14.0 dB and -12.4 dB, respectively. Univariate analysis reveals younger age, female sex, shorter duration of symptom, pituitary adenoma, transsphenoidal approach, and transcranial approach favours improvement in VF. Multivariate analysis shows only shorter symptom duration, transphenoidal approach, and transcranial approach are significant for favourable VF outcome when other factors adjusted.

    Conclusion: Symptom duration and surgical approach were independent factors that affects the visual field after surgery in patients with sellar region tumors.

    Matched MeSH terms: Multivariate Analysis
  4. Sreeramareddy CT, Majeed Kutty NA, Razzaq Jabbar MA, Boo NY
    Biosci Trends, 2012 Jun;6(3):103-9.
    PMID: 22890157 DOI: 10.5582/bst.2012.v6.3.103
    The burden of non-communicable diseases is increasing in Malaysia. Insufficient Physical Activity, which is an important risk factor for non-communicable diseases, is less researched in Malaysia. We aimed to assess the level of physical activity and identify its correlates. An online survey was carried out during October, 2011 in the University Tunku Abdul Rahman by the opinion poll research committee. Young adults answered the Short International Physical Activity Questionnaire and a questionnaire about factors according to a socio-ecological model which was adapted from published studies. Metabolic equivalent (MET)-hours and MET-minutes were calculated. Physical activity was classified as sufficient when MET-minutes were > 840. The mean age of the 474 participants was 22.4 years (S.D. = 4.7), and 253 (53.4%) were females. Their mean and median of MET-hours of PA done during the previous seven days were 31.36 (S.D., 52.19) and 14.7 (IQR, 5.77-32.07), respectively. Physical activity done was sufficient among 242 (51.1%) participants. Using univariate analysis, being male, good self-rated health, positive intention, self-efficacy, perceived benefits, social support, and availability of facilities were associated with sufficient physical activity. Using multivariate analysis sufficient physical activity was associated with participants' intention (OR 0.75, 95% CIs 0.64, 0.88), self-efficacy (OR 0.91, 95% CIs 0.85, 0.97) and facility availability (OR 0.81, 95% CIs 0.73, 0.91). The proportion of participants with sufficient physical activity was low. Positive intention and self-efficacy associated with sufficient physical activity should be supported by availability of facilities and a safely-built environment. A nationwide survey about physical and associated socialecological factors is needed to design rational health promotion strategies.
    Matched MeSH terms: Multivariate Analysis
  5. Springer SA, Di Paola A, Azar MM, Barbour R, Biondi BE, Desabrais M, et al.
    J Acquir Immune Defic Syndr, 2018 05 01;78(1):43-53.
    PMID: 29373393 DOI: 10.1097/QAI.0000000000001634
    OBJECTIVE: To determine whether extended-release naltrexone (XR-NTX) would improve or maintain viral suppression (VS) among prisoners or jail detainees with HIV and opioid use disorder (OUD) transitioning to the community.

    DESIGN: A 4-site, prospective randomized double-blind, placebo-controlled trial was conducted among prison and jail inmates with HIV and OUD transitioning to the community from September 2010 through March 2016.

    METHODS: Eligible participants (N = 93) were randomized 2:1 to receive 6 monthly injections of XR-NTX (n = 66) or placebo (n = 27) starting at release and observed for 6 months. The primary outcome was the proportion that maintained or improved VS (<50 copies/mL) from baseline to 6 months.

    RESULTS: Participants allocated to XR-NTX significantly improved to VS (<50 copies/mL) from baseline (37.9%) to 6 months (60.6%) (P = 0.002), whereas the placebo group did not (55.6% at baseline to 40.7% at 6 months P = 0.294). There was, however, no statistical significant difference in VS levels at 6 months between XR-NTX (60.6%) vs. placebo (40.7%) (P = 0.087). After controlling for other factors, only allocation to XR-NTX (adjusted odds ratio = 2.90; 95% confidence interval = 1.04 to 8.14, P = 0.043) was associated with the primary outcome. Trajectories in VS from baseline to 6 months differed significantly (P = 0.017) between treatment groups, and the differences in the discordant values were significantly different as well (P = 0.041): the XR-NTX group was more likely than the placebo group to improve VS (30.3% vs. 18.5%), maintain VS (30.3% vs. 27.3), and less likely to lose VS (7.6% vs. 33.3%) by 6 months.

    CONCLUSIONS: XR-NTX improves or maintains VS after release to the community for incarcerated people living with HIV with OUD.

    Matched MeSH terms: Multivariate Analysis
  6. Soh SC, Abdullah MP
    Environ Monit Assess, 2007 Jan;124(1-3):39-50.
    PMID: 16967208
    A field investigation was conducted at all water treatment plants throughout 11 states and Federal Territory in Peninsular Malaysia. The sampling points in this study include treatment plant operation, service reservoir outlet and auxiliary outlet point at the water pipelines. Analysis was performed by solid phase micro-extraction technique with a 100 microm polydimethylsiloxane fibre using gas chromatography with mass spectrometry detection to analyse 54 volatile organic compounds (VOCs) of different chemical families in drinking water. The concentration of VOCs ranged from undetectable to 230.2 microg/l. Among all of the VOCs species, chloroform has the highest concentration and was detected in all drinking water samples. Average concentrations of total trihalomethanes (THMs) were almost similar among all states which were in the range of 28.4--33.0 microg/l. Apart from THMs, other abundant compounds detected were cis and trans-1,2-dichloroethylene, trichloroethylene, 1,2-dibromoethane, benzene, toluene, ethylbenzene, chlorobenzene, 1,4-dichlorobenzene and 1,2-dichloro - benzene. Principal component analysis (PCA) with the aid of varimax rotation, and parallel factor analysis (PARAFAC) method were used to statistically verify the correlation between VOCs and the source of pollution. The multivariate analysis pointed out that the maintenance of auxiliary pipelines in the distribution systems is vital as it can become significant point source pollution to Malaysian drinking water.
    Matched MeSH terms: Multivariate Analysis
  7. Skau JK, Nordin AB, Cheah JC, Ali R, Zainal R, Aris T, et al.
    Trials, 2016;17(1):215.
    PMID: 27117703 DOI: 10.1186/s13063-016-1345-x
    Over the past two decades, the population of Malaysia has grown rapidly and the prevalence of diabetes mellitus in Malaysia has dramatically increased, along with the frequency of obesity, hyperlipidaemia and hypertension. Early-life influences play an important role in the development of non-communicable diseases. Indeed, maternal lifestyle and conditions such as gestational diabetes mellitus or obesity can affect the risk of diabetes in the next generation. Lifestyle changes can help to prevent the development of type 2 diabetes mellitus. This is a protocol for an unblinded, community-based, randomised controlled trial in two arms to evaluate the efficacy of a complex behavioural change intervention, combining motivational interviewing provided by a community health promoter and access to a habit formation mobile application, among young Malaysian women and their spouses prior to pregnancy.
    Matched MeSH terms: Multivariate Analysis
  8. Siti Fatimah, A.G., Aniza, I., Shamsuddin, K., Zailiza, S.
    MyJurnal
    A cross-sectional study was carried out in July-October 2012 in UKM to remeasure, evaluate and compare the changes in health services utilization level among women staff in UKM with a previous study done in 2001 and its influencing factors. The services studied were blood pressure (BP) measurement and Pap smear test. A total of 234 respondents aged between 18 and 55 were selected using stratified random sampling from Bangi, Kuala Lumpur and UKMMC, Malaysia. Data was collected via self-administered questionnaire and was analyzed by using SPSS version 17.0. Majority 85.9% of the respondents were found to have utilized at least one BP measurement which is higher compared to previous study. The Pap smear test, 64.5% of women have had a Pap smear test done also higher compared to previous study. Multivariate analysis shows the factors associated with BP measurement are age (OR 2.7, CI 95% 1.2, 6.3), family history of general health problems (OR 3.4, CI 95% 1.5, 7.6), and health staff influence (OR 5.2, CI 95% 1.1, 25.5). The factors associated with Pap smear test are marital status (OR 62.8, CI 95% 7.2, 546.4), general health problems (OR 2.3, CI 95% 1.2, 4.5), family planning (OR 6.9, CI 95% 3.0, 16.5) and self-interest (OR 3.3, CI 95%, 1.3, 8.6). The level of health services utilization on BP measurement and Pap smear test in 2012 is higher than 2001. For both BP measurement and Pap smear test the determinant factors are differed in the aforesaid years.
    Matched MeSH terms: Multivariate Analysis
  9. Simoneau G, Levis B, Cuijpers P, Ioannidis JPA, Patten SB, Shrier I, et al.
    Biom J, 2017 Nov;59(6):1317-1338.
    PMID: 28692782 DOI: 10.1002/bimj.201600184
    Individual patient data (IPD) meta-analyses are increasingly common in the literature. In the context of estimating the diagnostic accuracy of ordinal or semi-continuous scale tests, sensitivity and specificity are often reported for a given threshold or a small set of thresholds, and a meta-analysis is conducted via a bivariate approach to account for their correlation. When IPD are available, sensitivity and specificity can be pooled for every possible threshold. Our objective was to compare the bivariate approach, which can be applied separately at every threshold, to two multivariate methods: the ordinal multivariate random-effects model and the Poisson correlated gamma-frailty model. Our comparison was empirical, using IPD from 13 studies that evaluated the diagnostic accuracy of the 9-item Patient Health Questionnaire depression screening tool, and included simulations. The empirical comparison showed that the implementation of the two multivariate methods is more laborious in terms of computational time and sensitivity to user-supplied values compared to the bivariate approach. Simulations showed that ignoring the within-study correlation of sensitivity and specificity across thresholds did not worsen inferences with the bivariate approach compared to the Poisson model. The ordinal approach was not suitable for simulations because the model was highly sensitive to user-supplied starting values. We tentatively recommend the bivariate approach rather than more complex multivariate methods for IPD diagnostic accuracy meta-analyses of ordinal scale tests, although the limited type of diagnostic data considered in the simulation study restricts the generalization of our findings.
    Matched MeSH terms: Multivariate Analysis
  10. Sim SF, Ting W
    Talanta, 2012 Jan 15;88:537-43.
    PMID: 22265538 DOI: 10.1016/j.talanta.2011.11.030
    This paper reports a computational approach for analysis of FTIR spectra where peaks are detected, assigned and matched across samples to produce a peak table with rows corresponding to samples and columns to variables. The algorithm is applied on a dataset of 103 spectra of a broad range of edible oils for exploratory analysis and variable selection using Self Organising Maps (SOMs) and t-statistics, respectively. Analysis on the resultant peak table allows the underlying patterns and the discriminatory variables to be revealed. The algorithm is user-friendly; it involves a minimal number of tunable parameters and would be useful for analysis of a large and complicated FTIR dataset.
    Matched MeSH terms: Multivariate Analysis
  11. Silalahi DD, Midi H, Arasan J, Mustafa MS, Caliman JP
    Sensors (Basel), 2020 Sep 03;20(17).
    PMID: 32899292 DOI: 10.3390/s20175001
    The extraction of relevant wavelengths from a large dataset of Near Infrared Spectroscopy (NIRS) is a significant challenge in vibrational spectroscopy research. Nonetheless, this process allows the improvement in the chemical interpretability by emphasizing the chemical entities related to the chemical parameters of samples. With the complexity in the dataset, it may be possible that irrelevant wavelengths are still included in the multivariate calibration. This yields the computational process to become unnecessary complex and decreases the accuracy and robustness of the model. In multivariate analysis, Partial Least Square Regression (PLSR) is a method commonly used to build a predictive model from NIR spectral data. However, in the PLSR method and common commercial chemometrics software, there is no standard wavelength selection procedure applied to screen the irrelevant wavelengths. In this study, a new robust wavelength selection procedure called the modified VIP-MCUVE (mod-VIP-MCUVE) using Filter-Wrapper method and input scaling strategy is introduced. The proposed method combines the modified Variable Importance in Projection (VIP) and modified Monte Carlo Uninformative Variable Elimination (MCUVE) to calculate the scale matrix of the input variable. The modified VIP uses the orthogonal components of Partial Least Square (PLS) in investigating the informative variable in the model by applying the amount of variation both in X and y{SSX,SSY}, simultaneously. The modified MCUVE uses a robust reliability coefficient and a robust tolerance interval in the selection procedure. To evaluate the superiority of the proposed method, the classical VIP, MCUVE, and autoscaling procedure in classical PLSR were also included in the evaluation. Using artificial data with Monte Carlo simulation and NIR spectral data of oil palm (Elaeis guineensis Jacq.) fruit mesocarp, the study shows that the proposed method offers advantages to improve model interpretability, to be computationally extensive, and to produce better model accuracy.
    Matched MeSH terms: Multivariate Analysis
  12. Silalahi DD, Midi H, Arasan J, Mustafa MS, Caliman JP
    Heliyon, 2020 Jan;6(1):e03176.
    PMID: 32042959 DOI: 10.1016/j.heliyon.2020.e03176
    In practice, the collected spectra are very often composes of complex overtone and many overlapping peaks which may lead to misinterpretation because of its significant nonlinear characteristics. Using linear solution might not be appropriate. In addition, with a high-dimension of dataset due to large number of observations and data points the classical multiple regressions will neglect to fit. These complexities commonly will impact to multicollinearity problem, furthermore the risk of contamination of multiple outliers and high leverage points also increases. To address these problems, a new method called Kernel Partial Diagnostic Robust Potential (KPDRGP) is introduced. The method allows the nonlinear solution which maps nonlinearly the original input

    X

    matrix into higher dimensional feature mapping with corresponds to the Reproducing Kernel Hilbert Spaces (RKHS). In dimensional reduction, the method replaces the dot products calculation of elements in the mapped data to a nonlinear function in the original input space. To prevent the contamination of the multiple outlier and high leverage points the robust procedure using Diagnostic Robust Generalized Potentials (DRGP) algorithm was used. The results verified that using the simulation and real data, the proposed KPDRGP method was superior to the methods in the class of non-kernel and some other robust methods with kernel solution.
    Matched MeSH terms: Multivariate Analysis
  13. Sidi H, Asmidar D, Hod R, Jaafar NR, Guan NC
    Int J Psychiatry Clin Pract, 2012 Mar;16(1):41-7.
    PMID: 22122658 DOI: 10.3109/13651501.2011.617457
    To determine the risk of hypoactive sexual desire (HSD) in depressed female patients treated with selective serotonin reuptake inhibitors, comparing escitalopram and fluoxetine. The associated factors were also examined.
    Matched MeSH terms: Multivariate Analysis
  14. Siah, W. M., Aminah, A., Ishak, A.
    MyJurnal
    The effects of soaking conditions on the quality characteristics of seaweed paste of Kappaphycus alverazii species were studied. Response Surface Methodology (RSM) with a 2-factor, 5-level central composite design (CCD) was conducted to determine the optimum soaking conditions. The interactive effect of dry seaweed: soaking water ratio (X1 = 1: 15-50) and soaking duration (X2 = 30-120 min) on the gel strength (g), whiteness, expansion (%), moisture content (%) and protein content (g/100 g) of the paste were determined. Results showed that the experimental data could be adequately fitted into a second-order polynomial model with multiple regression coefficients (R2) of 0.8141, 0.9245, 0.9118, 0.9113 and 0.9271 for the gel strength, whiteness, expansion, moisture content and protein content, respectively. The gel strength, whiteness, expansion, moisture content and protein content of seaweed paste were dependent on the ratio of dry seaweed to soaking water and also soaking duration. The proposed optimum soaking conditions for the production of seaweed paste is at a ratio of 1:15 (dry seaweed : soaking water) and soaking duration of 117.06 min. Based on the result obtained, the RSM demonstrated a suitable approach for the processing optimization of Kappaphycus alverazii paste.
    Matched MeSH terms: Multivariate Analysis
  15. Sheikhy Narany T, Ramli MF, Aris AZ, Sulaiman WN, Fakharian K
    Environ Monit Assess, 2014 Sep;186(9):5797-815.
    PMID: 24891071 DOI: 10.1007/s10661-014-3820-8
    In recent years, groundwater quality has become a global concern due to its effect on human life and natural ecosystems. To assess the groundwater quality in the Amol-Babol Plain, a total of 308 water samples were collected during wet and dry seasons in 2009. The samples were analysed for their physico-chemical and biological constituents. Multivariate statistical analysis and geostatistical techniques were applied to assess the spatial and temporal variabilities of groundwater quality and to identify the main factors and sources of contamination. Principal component analysis (PCA) revealed that seven factors explained around 75% of the total variance, which highlighted salinity, hardness and biological pollution as the dominant factors affecting the groundwater quality in the Plain. Two-way analysis of variance (ANOVA) was conducted on the dataset to evaluate the spatio-temporal variation. The results showed that there were no significant temporal variations between the two seasons, which explained the similarity between six component factors in dry and wet seasons based on the PCA results. There are also significant spatial differences (p > 0.05) of the parameters under study, including salinity, potassium, sulphate and dissolved oxygen in the plain. The least significant difference (LSD) test revealed that groundwater salinity in the eastern region is significantly different to the central and western side of the study area. Finally, multivariate analysis and geostatistical techniques were combined as an effective method for demonstrating the spatial structure of multivariate spatial data. It was concluded that multiple natural processes and anthropogenic activities were the main sources of groundwater salinization, hardness and microbiological contamination of the study area.
    Matched MeSH terms: Multivariate Analysis
  16. Sheikh MK, Bahari MB, Yusoff NM, Knight A
    J Coll Physicians Surg Pak, 2009 Aug;19(8):514-7.
    PMID: 19651016 DOI: 08.2009/JCPSP.514517
    The purpose of this study was to find out the association between blood group B and Myocardial Infarction (MI) in sample population in Malaysia.
    Matched MeSH terms: Multivariate Analysis
  17. Shchelkanov MY, Tabakaeva Moskvina TV, Kim EM, Derunov DA, Galkina IV
    Trop Biomed, 2020 Sep 01;37(3):778-782.
    PMID: 33612790 DOI: 10.47665/tb.37.3.778
    Canine demodicosis is a common skin disorder with multiple risk factors, including age and breed predisposition. There is relatively limited information about the risk factors for canine demodicosis in large canine populations. This retrospective case-control study was conducted by searching the electronic records of dogs with skin lesions for the presence of Demodex mites in skin scrapings. Diagnosis of demodicosis was based on the presence of skin lesions and mites in skin scrapings. Multivariate analysis was conducted using logistic regression analysis to estimate the relative risk and odds ratio of variables hypothesized to influence the risk of canine demodicosis, such as age, sex, breed, season, and parasitic infection. The results of multivariate logistic regression analysis showed a positive correlation between the dogs' age and demodicosis. Dogs older than three years, as well as puppies, had a high risk of demodicosis (P0.05). Breeds with the greatest association (odds ratio) with demodicosis included the American Staffordshire Terrier (OR=0.9) and Moscow Watchdog (OR=0.2). The presence of intestinal parasites, such as Diphyllobothrium latum, was significantly associated with demodicosis.
    Matched MeSH terms: Multivariate Analysis
  18. Shazlin Umar, Azriani Ab Rahman, Aziah Daud, Azizah Othman, Normastura Abd Rahman, Azizah Yusoff, et al.
    MyJurnal
    Objective: The objectives of this study were to determine the effect of a one and a half year educational intervention on the job dissatisfaction of teachers in 30 Community Based Rehabilitation (CBR) centres in Kelantan, Malaysia, and to identify the factors influencing changes in job dissatisfaction following the intervention. Method: Ten educational modules were administered to the teachers. A validated Malay version of Job Content Questionnaire (JCQ) was used pre intervention, mid intervention and post intervention. Result: Repeated Measure ANOVA revealed there was a statistically significant reduction in the mean of job dissatisfaction (p = 0.048). Multiple Linear Regression revealed that co- worker support (β= 0.034 (95% CI = 0.009, 0.059)), having less decision authority (β: -0.023; 95% CI: -0.036, -0.01) and being single (β: -0.107; 95% CI: -0.176,-0.038) were significantly associated with decreases in job dissatisfaction. Conclusion: The intervention program elicited improvement in job satisfaction. Efforts should be made to sustain the effect of the intervention in reducing job dissatisfaction by continuous support visits to CBR centres.
    Matched MeSH terms: Multivariate Analysis
  19. Sharina D, Zulkifli A, Naing NN
    MyJurnal
    Exposure to secondhand smoke has consistently been linked to adverse health effects in children, including reduced lung function and various respiratory diseases. There is also increasing evidence that secondhand smoke exposure is associated with cognitive impairment and behavioral problems in children, This cross sectional study was done on 795 chiildren to determine the association between secondhand smoke exposure and peak expiratory flow rate (PEFR) and cognitive performance among the primary school children in Kota Bharu Kelantan. A questionnaire was used to obtain information on socio-demography and smoking status of the household. The PEER was measured using a child Mini Wright peak expiratory flow meter while cognitive performance was assessed by four subtests of Weschler Intelligence Scale For Children (WISC III). Data analysis was done using SPSS version 11. Children were classified as exposed to secondhand smoke when at least one househoH member smoked. There were 442 (55 .6%) children exposed to secondhand smoke at home. The mean (SD) PEFR for unexposed and exposed children were 266.18 (60.80) l/min and 266 .06 (57. 70) l/min respectively, The mean (SD) scores for Digit Span Forward, Digit Span Backward Coding and Arithmetic in unexposed chiMren were 6.84 (1.80), 4.Z7(1.68), 45.25 (9,99) and 8.04 (1.04) respectively. The mean (SD) scores for exposed children were 6.73 (1 .77). 4.07 (l .65), 45.1 I (1 I ,03) and 8.13 (1 .00) respectively. Multivariate analysis of variance showed no signincant dijference in the PEFR (p=O.816) and the cognitive scores between exposed and unexposed primary school children in Kota Bharu, Kelantan
    Matched MeSH terms: Multivariate Analysis
  20. Sharif-Askari FS, Syed Sulaiman SA, Saheb Sharif-Askari N, Al Sayed Hussain A
    PLoS One, 2014;9(4):e95991.
    PMID: 24755778 DOI: 10.1371/journal.pone.0095991
    Adverse drug reactions (ADRs) represent a major burden on the healthcare system. Chronic kidney disease (CKD) patients are particularly vulnerable to ADRs because they are usually on multiple drug regimens, have multiple comorbidities, and because of alteration in their pharmacokinetics and pharmacodynamic parameters. Therefore, one step towards reducing this burden is to identify patients who are at increased risk of an ADR.
    Matched MeSH terms: Multivariate Analysis
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links