Displaying publications 141 - 160 of 365 in total

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  1. Nor Atirah Izzah Zulkefli, Yeak Su Hoe, Normah Maan
    MATEMATIKA, 2019;35(2):249-259.
    MyJurnal
    In this paper, extended Runge-Kutta fourth order method for directly solving the fuzzy logistic problem is presented. The extended Runge-Kutta method has lower number of function evaluations, compared with the classical Runge-Kutta method. The numerical robustness of the method in parameter estimation is enhanced via error minimization in predicting growth rate and carrying capacity. The results of fuzzy logistic model with the estimated parameters have been compared with population growth data in Malaysia, which indicate that this method is more accurate that the data population. Numerical example is given to illustrate the efficiency of the proposed model. It is concluded that robust parameter estimation technique is efficient in modelling population growth.
    Matched MeSH terms: Data Collection
  2. Ahmad, Mani Malam, Abd. Aziz Mohd Azoddein, Jami, Mohammed Saed
    MyJurnal
    : Studies on bacterial growth pattern from the conventional approach are defective due
    to their failure to explain the interactions or simply the complementary effects of the factors
    influencing the bacterial growth. In this study, the individual and collaborative effects of
    Pseudomonas putida growth variables were evaluated using a 2-level fractional factorial design of
    experiment (FFDOE). The growth of the organism was found to respond remarkably to different
    concentrations of nutrient media (carbon source) and the other independent variables. Factorial
    models were developed from the experimental design to study the individual and interactive effects
    of the studied parameters on the response. The studied parameters and their levels were as follows:
    nutrient concentration (4-16 g/L), acclimatization time (24-72 hrs), agitation (140-200 rpm), and
    temperature (30-40oC). These parameters were statistically validated using analysis of variance
    (ANOVA) and the results revealed that the model terms were statistically significant with an Fvalue of 415.17 at P temperature > nutrient concentration versus temperature >
    agitation > nutrient concentration versus agitation. Based on the R
    2
    and the adjusted R
    2
    values of
    >95%, the estimated variables showed a high degree of relationship between the observed and the
    predicted values; thus, the predictive ability of the models was suggested. It could, therefore, be
    concluded that nutrient concentration, temperature, and agitation can greatly influence the growth
    of P. putida within a specific range.
    Matched MeSH terms: Data Collection
  3. Ghazali SA, Abdullah KL, Moy FM, Ahmad R, Hussin EOD
    Int Emerg Nurs, 2020 07;51:100889.
    PMID: 32622225 DOI: 10.1016/j.ienj.2020.100889
    INTRODUCTION: Patients who visit emergency departments need to undergo a precise assessment to determine their priority and accurate triage category to ensure they receive the right treatment.

    AIM: To identify the effect of triage training on the skills and accuracy of triage decisions for adult trauma patients.

    METHOD: A randomized controlled trial design was conducted in ten emergency department of public hospitals. A total of 143 registered nurses and medical officer assistants who performed triage roles were recruited for the control group (n = 74) and the intervention group (n = 69). The skill and accuracy of triage decisions were measured two weeks and four weeks after the intervention group were exposed to the intervention.

    RESULTS: There was a significant effect on the skill of triage decision-making between the control and the intervention group p 

    Matched MeSH terms: Data Collection
  4. Nataraj SK, Paulraj MP, Yaacob SB, Adom AHB
    J Med Signals Sens, 2020 11 11;10(4):228-238.
    PMID: 33575195 DOI: 10.4103/jmss.JMSS_52_19
    Background: A simple data collection approach based on electroencephalogram (EEG) measurements has been proposed in this study to implement a brain-computer interface, i.e., thought-controlled wheelchair navigation system with communication assistance.

    Method: The EEG signals are recorded for seven simple tasks using the designed data acquisition procedure. These seven tasks are conceivably used to control wheelchair movement and interact with others using any odd-ball paradigm. The proposed system records EEG signals from 10 individuals at eight-channel locations, during which the individual executes seven different mental tasks. The acquired brainwave patterns have been processed to eliminate noise, including artifacts and powerline noise, and are then partitioned into six different frequency bands. The proposed cross-correlation procedure then employs the segmented frequency bands from each channel to extract features. The cross-correlation procedure was used to obtain the coefficients in the frequency domain from consecutive frame samples. Then, the statistical measures ("minimum," "mean," "maximum," and "standard deviation") were derived from the cross-correlated signals. Finally, the extracted feature sets were validated through online sequential-extreme learning machine algorithm.

    Results and Conclusion: The results of the classification networks were compared with each set of features, and the results indicated that μ (r) feature set based on cross-correlation signals had the best performance with a recognition rate of 91.93%.

    Matched MeSH terms: Data Collection
  5. Mohd Zulhilmi Aqil Muhamad, Noor Hafhizah Abd Rahim
    MyJurnal
    Expert system is a system that emulates experts to aid in decision making. This system can be applied in various categories such as diagnosis, prediction, interpretation, and others. Expert System to Diagnose Dengue Fever is a web-based system which is integrated with prolog language in order to provide rules for dengue fever detection. The aims of this research are to study dengue fever symptoms and other illnesses related to the fever, to design an inference engine, and to build an expert system. The challenges faced while developing this expert system were the complexity of prolog codes and their integration with the web development. In this system, rules were developed by prolog language which define dengue fever and accuracy based on input from the user. This system is expected to aid users in self-detecting early symptoms of dengue fever before seeing the doctors.
    Matched MeSH terms: Data Collection
  6. Nafeeza Mohd Ismail
    Medical Health Reviews, 2010;2010(1):65-76.
    MyJurnal
    The safety and efficacy of drugs may be different in children compared to adults. The available documentation at the time of approval for drug use in humans invariably lack data for use in children as generally children are not exposed to medicines in clinical trials. As such, in order to clarify a safety profile in children and to limit the occurrence of adverse drug reactions (ADR), long term data collection is necessary. There is a need to consider how pharmacovigilance is conducted for medicines used by children. It is the ethical responsibility of all health professionals to report ADR. Currently, ADRs in children does not appear to be at a critical level. Certainly, a high standard of care could be a reason but the possibility of health professionals underreporting ADRs has to be considered. Furthermore, many drugs used in children are not licensed for use in this age group. This may further limit the reporting of suspected ADRs to the pharmacovigilance systems.
    Matched MeSH terms: Data Collection
  7. Syed-Mohamad SM, Ali SH, Mat-Husin MN
    Health Inf Manag, 2010 Mar;39(1):30-35.
    PMID: 28683624 DOI: 10.1177/183335831003900105
    This paper describes the method used to develop the One Stop Crisis Centre (OSCC) Portal, an open-source web-based electronic patient record system (EPR) for the One Stop Crisis Center, Hospital Universiti Sains Malaysia (HUSM) in Kelantan, Malaysia. Features and functionalities of the system are presented to demonstrate the workflow. Use of the OSCC Portal improved data integration and data communication and contributed to improvements in care management. With implementation of the OSCC portal, improved coordination between disciplines and standardisation of data in HUSM were noticed. It is expected that this will in turn result in improved data confidentiality and data integrity. The collected data will also be useful for quality assessment and research. Other low-resource centers with limited computer hardware and access to open-source software could benefit from this endeavour.
    Matched MeSH terms: Data Collection
  8. Ghani AAA, Shahudin MS, Zamri-Saad M, Zuki AB, Wahid H, Kasim A, et al.
    Vet World, 2017 Jun;10(6):630-635.
    PMID: 28717314 DOI: 10.14202/vetworld.2017.630-635
    AIM: The study was conducted at a smallholder goat farm located in Labu, Negeri Sembilan, Malaysia. The objective of this study was to evaluate the effect of proper feeding program on growth performances of replacement breeder goats.

    MATERIALS AND METHODS: A total of 30 healthy female boer cross goats at the age of 4 months old with average initial live body weight (BW) of 20.05±0.5 kg were used for on-farm feeding trial to evaluate the growth performance as preparation for breeding purposes. The experimental goats were divided into two groups of 15 animals each labeled as control and treatment groups, which were kept under intensive farming system. Goats in control group were fed with normal routine feeding protocol practiced by the farmer, while goats in the treatment group were fed with new feed formulation. Throughout the experimental period, on-farm monitoring and data collection were carried out. Initial BW and body condition score (BCS) were recorded before the start of the experiment while final BW and BCS were gained after 7 months of the experimental period. Average daily gain (ADG) was calculated after the experiment end. Data on BW, ADG, and BCS were recorded from both groups for every 2 weeks and reported monthly. The feed intake for the control group was 2.8 kg/animal/day which practiced by the farmer and 3.2 kg/animal/day as new feed formulation for the treatment group.

    RESULTS: After 7 months of the experimental period, final BW shows an improvement in treatment group (39.1±1.53 kg) compared with control group (32.3±1.23 kg). The ADG in treatment group also gives promising result when comparing with control group. Goats in treatment group significantly attained better ADG than control group which were 126.7 g/day and 83.3 g/day, respectively. For the BCS, goats in the treatment group had shown an improvement where 86.67% (13 out of 15) of the group had BCS ≥3 (1-5 scoring scale) and only 66.67% (10 out of 15) of the control group had BCS ≥3.

    CONCLUSION: Therefore, it was concluded that implementation of proper feeding program as shown in treatment group give promising result to improve the growth performance of replacement breeder goats which can be adopted by the farmers to improve farm productivity.

    Matched MeSH terms: Data Collection
  9. Nasir S, Hussein MZ, Yusof NA, Zainal Z
    Nanomaterials (Basel), 2017 Jul 13;7(7).
    PMID: 28703757 DOI: 10.3390/nano7070182
    Herein, a new approach was proposed to produce reduced graphene oxide (rGO) from graphene oxide (GO) using various oil palm wastes: oil palm leaves (OPL), palm kernel shells (PKS) and empty fruit bunches (EFB). The effect of heating temperature on the formation of graphitic carbon and the yield was examined prior to the GO and rGO synthesis. Carbonization of the starting materials was conducted in a furnace under nitrogen gas for 3 h at temperatures ranging from 400 to 900 °C and a constant heating rate of 10 °C/min. The GO was further synthesized from the as-carbonized materials using the 'improved synthesis of graphene oxide' method. Subsequently, the GO was reduced by low-temperature annealing reduction at 300 °C in a furnace under nitrogen gas for 1 h. The IG/ID ratio calculated from the Raman study increases with the increasing of the degree of the graphitization in the order of rGO from oil palm leaves (rGOOPL) < rGO palm kernel shells (rGOPKS) < rGO commercial graphite (rGOCG) < rGO empty fruit bunches (rGOEFB) with the IG/ID values of 1.06, 1.14, 1.16 and 1.20, respectively. The surface area and pore volume analyses of the as-prepared materials were performed using the Brunauer Emmett Teller-Nitrogen (BET-N₂) adsorption-desorption isotherms method. The lower BET surface area of 8 and 15 m2 g-1 observed for rGOCG and rGOOPL, respectively could be due to partial restacking of GO layers and locally-blocked pores. Relatively, this lower BET surface area is inconsequential when compared to rGOPKS and rGOEFB, which have a surface area of 114 and 117 m² g-1, respectively.
    Matched MeSH terms: Data Collection
  10. Jafri Mohd Rohani, Hood Atan, Wan Harun Wan Hamid, Mohamed Fitri Johari, Wan Lokman Wan Bedurdin, Hafizah Ithnin
    MyJurnal
    Currently accident cost calculations involve lengthy process of data collection procedures. Accident cost
    calculations can be categorized into direct and indirect costs. Many manufacturing industries are having difficulties
    in identifying and quantifying the accident cost category. Besides, it involves manual data collection which is time
    consuming and has high tendency to make errors throughout the process. The data collection process also involves
    various parties. For example, getting direct cost data from human resource department while indirect cost data need
    to be obtained from manufacturing and safety department. The objective of this study is to propose Web-Based
    interactive Accident Cost Calculator (WBACC) for manufacturing industries. This WBACC has two options; option
    1: calculations based on input data at the time of accident. Option 2: calculations based on historical data such as
    previous accident records. Option 1 is much simpler because it only requires accident demographic data while option
    2 is much more complex. However, option 2 is more accurate compared to option 1. This proposed WBACC can be
    used by safety and health practitioners to convince their top management in making decisions especially on safety
    budget allocation.
    Matched MeSH terms: Data Collection
  11. Aryal N, Regmi PR, Faller EM, van Teijlingen E, Khoon CC, Pereira A, et al.
    Nepal J Epidemiol, 2019 Sep;9(3):788-791.
    PMID: 31687253 DOI: 10.3126/nje.v9i3.25805
    This paper reports on a consultation meeting that discussed two emerging health issues of Nepali migrant workers in Malaysia and the ways they can be addressed. Primarily, it focused on the issue of sudden cardiac deaths of Nepali migrant workers in Malaysia. This issue has been raised internationally by both scientific and media in the recent years. Secondly, it discussed kidney health related problem among Nepali migrant workers which has caught the attention of Nepali media recently. The meeting was organized in Kuala Lumpur, Malaysia on 19th April, 2019 where twenty people including health researchers, representatives of migrant related national and international organizations, and Nepali migrant workers participated. The meeting concluded that three types of data collection are needed: (1) good record of deaths, if at possible proper post-mortems; (2) a verbal autopsy tool to help identify underlying causes ; and qualitative research into kidney related problems.
    Matched MeSH terms: Data Collection
  12. Chen W, Li Y, Xue W, Shahabi H, Li S, Hong H, et al.
    Sci Total Environ, 2020 Jan 20;701:134979.
    PMID: 31733400 DOI: 10.1016/j.scitotenv.2019.134979
    Floods are one of the most devastating types of disasters that cause loss of lives and property worldwide each year. This study aimed to evaluate and compare the prediction capability of the naïve Bayes tree (NBTree), alternating decision tree (ADTree), and random forest (RF) methods for the spatial prediction of flood occurrence in the Quannan area, China. A flood inventory map with 363 flood locations was produced and partitioned into training and validation datasets through random selection with a ratio of 70/30. The spatial flood database was constructed using thirteen flood explanatory factors. The probability certainty factor (PCF) method was used to analyze the correlation between the factors and flood occurrences. Consequently, three flood susceptibility maps were produced using the NBTree, ADTree, and RF methods. Finally, the area under the curve (AUC) and statistical measures were used to validate the flood susceptibility models. The results indicated that the RF method is an efficient and reliable model in flood susceptibility assessment, with the highest AUC values, positive predictive rate, negative predictive rate, sensitivity, specificity, and accuracy for the training (0.951, 0.892, 0.941, 0.945, 0.886, and 0.915, respectively) and validation (0.925, 0.851, 0.938, 0.945, 0.835, and 0.890, respectively) datasets.
    Matched MeSH terms: Data Collection
  13. Ibrahim A, Haruna JA
    The study investigated the effects of flipped and conventional classroom teaching approach on performance and retention ability of advance financial accounting students in Abubakar Tafawa Balewa University Bauchi, Nigeria. The study had three specific objectives and three null hypotheses. Quasiexperimental design of pre-test, post-test I and post-test II was used for the study. The study used an intact class of 76 students that offered advance financial accounting in 2015/2016 academic session in the institution. Three instruments were used for data collection. The instruments were Advance financial accounting Achievement Test (AFAAT), Advance financial accounting Diagnostic Achievement Test I (AFADAT I) and Advance financial accounting Diagnostic Achievement Test II (AFADAT II). The validations of instruments were determined by board of examiners in department of vocational and technology education in Abubakar Tafawa Balewa University, Bauchi. The reliability of the instruments was established using pilot study. The result of the pilot study gave reliability coefficient of 0.79. Data collected from the study were coded into Statistical Package of Social Sciences. The package was used to run t-test statistics for the test of the three null hypotheses at significance level of 0.05. The results shows improvement in the performance and retention ability of students when flipped teaching technique was adopted. It was recommended among others that financial accounting lecturers in Nigerian universities should adopt the use of flipped classroom approach in teaching students by providing students with pre-class materials and assignments prior their classroom activities.
    Matched MeSH terms: Data Collection
  14. Mohd Bahar AA, Zakaria Z, Md Arshad MK, Isa AAM, Dasril Y, Alahnomi RA
    Sci Rep, 2019 04 02;9(1):5467.
    PMID: 30940843 DOI: 10.1038/s41598-019-41702-3
    In this study, a critical evaluation of analyte dielectric properties in a microvolume was undertaken, using a microwave biochemical sensor based on a circular substrate integrated waveguide (CSIW) topology. These dielectric properties were numerically investigated based on the resonant perturbation method, as this method provides the best sensing performance as a real-time biochemical detector. To validate these findings, shifts of the resonant frequency in the presence of aqueous solvents were compared with an ideal permittivity. The sensor prototype required a 2.5 µL volume of the liquid sample each time, which still offered an overall accuracy of better than 99.06%, with an average error measurement of ±0.44%, compared with the commercial and ideal permittivity values. The unloaded Qu factor of the circular substrate-integrated waveguide (CSIW) sensor achieved more than 400 to ensure a precise measurement. At 4.4 GHz, a good agreement was observed between simulated and measured results within a broad frequency range, from 1 to 6 GHz. The proposed sensor, therefore, offers high sensitivity detection, a simple structural design, a fast-sensing response, and cost-effectiveness. The proposed sensor in this study will facilitate real improvements in any material characterization applications such as pharmaceutical, bio-sensing, and food processing applications.
    Matched MeSH terms: Data Collection
  15. Ansari M, Othman F, El-Shafie A
    Sci Total Environ, 2020 Jun 20;722:137878.
    PMID: 32199382 DOI: 10.1016/j.scitotenv.2020.137878
    Sewage treatment plants (STPs) keep sewage contamination within safe levels and minimize the risk of environmental disasters. To achieve optimum operation of an STP, it is necessary for influent parameters to be measured or estimated precisely. In this research, six well-known influent chemical and biological characteristics, i.e., biochemical oxygen demand (BOD), chemical oxygen demand (COD), Ammoniacal Nitrogen (NH3-N), pH, oil and grease (OG) and suspended solids (SS), were modeled and predicted using the Sugeno fuzzy logic model. The membership function range of the fuzzy model was optimized by ANFIS, the integrated Genetic algorithms (GA), and the integrated particle swarm optimization (PSO) algorithms. The results were evaluated by different indices to find the accuracy of each algorithm. To ensure prediction accuracy, outliers in the predicted data were found and replaced with reasonable values. The results showed that both integrated GA-FIS and PSO-FIS algorithms performed at almost the same level and both had fewer errors than ANFIS. As the GA-FIS algorithm predicts BOD with fewer errors than PSO-FIS and the aim of this study is to provide an accurate prediction of missing data, GA-FIS was only used to predict the BOD parameter; the other parameters were predicted by PSO-FIS algorithm. As a result, the model successfully could provide outstanding performance for predicting the BOD, COD, NH3-N, OG, pH and SS with MAE equal to 3.79, 5.14, 0.4, 0.27, 0.02, and 3.16, respectively.
    Matched MeSH terms: Data Collection
  16. Hassan MA, Malik AS, Fofi D, Karasfi B, Meriaudeau F
    PMID: 32287815 DOI: 10.1016/j.measurement.2019.07.032
    The paper presents a feasibility study for heart rate measurement using a digital camera to perform health monitoring. The feasibility study investigates the reliability of the state of the art heart rate measuring methods in realistic situations. Therefore, an experiment was designed and carried out on 45 subjects to investigate the effects caused by illumination, motion, skin tone, and distance variance. The experiment was conducted for two main scenarios; human-computer interaction scenario and health monitoring scenario. The human-computer scenario investigated the effects caused by illumination variance, motion variance, and skin tone variance. The health monitoring scenario investigates the feasibility of health monitoring at public spaces (i.e. airports, subways, malls). Five state of the art heart rate measuring methods were re-implemented and tested with the feasibility study database. The results were compared with ground truth to estimate the heart rate measurement error. The heart rate measurement error was analyzed using mean error, standard deviation; root means square error and Pearson correlation coefficient. The findings of this experiment inferred promising results for health monitoring of subjects standing at a distance of 500 cm.
    Matched MeSH terms: Data Collection
  17. Khan MJH, Hussain MA, Mujtaba IM
    Materials (Basel), 2014 Mar 27;7(4):2440-2458.
    PMID: 28788576 DOI: 10.3390/ma7042440
    Propylene is one type of plastic that is widely used in our everyday life. This study focuses on the identification and justification of the optimum process parameters for polypropylene production in a novel pilot plant based fluidized bed reactor. This first-of-its-kind statistical modeling with experimental validation for the process parameters of polypropylene production was conducted by applying ANNOVA (Analysis of variance) method to Response Surface Methodology (RSM). Three important process variables i.e., reaction temperature, system pressure and hydrogen percentage were considered as the important input factors for the polypropylene production in the analysis performed. In order to examine the effect of process parameters and their interactions, the ANOVA method was utilized among a range of other statistical diagnostic tools such as the correlation between actual and predicted values, the residuals and predicted response, outlier t plot, 3D response surface and contour analysis plots. The statistical analysis showed that the proposed quadratic model had a good fit with the experimental results. At optimum conditions with temperature of 75 °C, system pressure of 25 bar and hydrogen percentage of 2%, the highest polypropylene production obtained is 5.82% per pass. Hence it is concluded that the developed experimental design and proposed model can be successfully employed with over a 95% confidence level for optimum polypropylene production in a fluidized bed catalytic reactor (FBCR).
    Matched MeSH terms: Data Collection
  18. Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.
    Phys Rev Lett, 2018 Feb 23;120(8):081801.
    PMID: 29542998 DOI: 10.1103/PhysRevLett.120.081801
    The first observation of electroweak production of same-sign W boson pairs in proton-proton collisions is reported. The data sample corresponds to an integrated luminosity of 35.9    fb^{-1} collected at a center-of-mass energy of 13 TeV with the CMS detector at the LHC. Events are selected by requiring exactly two leptons (electrons or muons) of the same charge, moderate missing transverse momentum, and two jets with a large rapidity separation and a large dijet mass. The observed significance of the signal is 5.5 standard deviations, where a significance of 5.7 standard deviations is expected based on the standard model. The ratio of measured event yields to that expected from the standard model at leading order is 0.90±0.22. A cross section measurement in a fiducial region is reported. Bounds are given on the structure of quartic vector boson interactions in the framework of dimension-8 effective field theory operators and on the production of doubly charged Higgs bosons.
    Matched MeSH terms: Data Collection
  19. Mohd Rani MD, Mohamed NA, Jamaluddin TZMT, Ismail Z, Ramli S, Faroque H, et al.
    Community Health Equity Res Policy, 2023 Jul;43(4):375-380.
    PMID: 34256634 DOI: 10.1177/0272684X211033448
    BACKGROUND: Hand hygiene is regarded as the most important measure to prevent spread of infectious diseases. The aim of this study was to assess the feasibility of a prototype application in an electronic device in educating, stimulating and monitoring hand hygiene quality in young children.

    METHOD: A pre-school was provided with an interactive hand hygiene application for two months. The device features an online administrator dashboard for data collection and for monitoring the children's hand washing steps and duration. A good hand washing is defined as hand washing which comprise all of the steps outlined in the World Health Organization (WHO) guidelines.

    RESULTS: The prototype managed to capture 6882 hand wash performed with an average of 20.85 seconds per hand wash. Washing hands palm to palm was the most frequent (79.9%) step performed, whereas scrubbing fingernails and wrists were the least (56%) steps performed.

    CONCLUSIONS: The device is a good prototype to educate, stimulate and monitor good hand hygiene practices. However, other measures should be undertaken to ensure sustainability of the practices.

    Matched MeSH terms: Data Collection
  20. Yeo AL, Kandane-Rathnayake R, Koelmeyer R, Golder V, Louthrenoo W, Chen YH, et al.
    Rheumatology (Oxford), 2024 Feb 01;63(2):525-533.
    PMID: 37208196 DOI: 10.1093/rheumatology/kead231
    OBJECTIVE: Disease activity monitoring in SLE includes serial measurement of anti-double stranded-DNA (dsDNA) antibodies, but in patients who are persistently anti-dsDNA positive, the utility of repeated measurement is unclear. We investigated the usefulness of serial anti-dsDNA testing in predicting flare in SLE patients who are persistently anti-dsDNA positive.

    METHODS: Data were analysed from patients in a multinational longitudinal cohort with known anti-dsDNA results from 2013 to 2021. Patients were categorized based on their anti-dsDNA results as persistently negative, fluctuating or persistently positive. Cox regression models were used to examine longitudinal associations of anti-dsDNA results with flare.

    RESULTS: Data from 37 582 visits of 3484 patients were analysed. Of the patients 1029 (29.5%) had persistently positive anti-dsDNA and 1195 (34.3%) had fluctuating results. Anti-dsDNA expressed as a ratio to the normal cut-off was associated with the risk of subsequent flare, including in the persistently positive cohort (adjusted hazard ratio [HR] 1.56; 95% CI: 1.30, 1.87; P 3. Both increases and decreases in anti-dsDNA more than 2-fold compared with the previous visit were associated with increased risk of flare in the fluctuating cohort (adjusted HR 1.33; 95% CI: 1.08, 1.65; P = 0.008) and the persistently positive cohort (adjusted HR 1.36; 95% CI: 1.08, 1.71; P = 0.009).

    CONCLUSION: Absolute value and change in anti-dsDNA titres predict flares, including in persistently anti-dsDNA positive patients. This indicates that repeat monitoring of dsDNA has value in routine testing.

    Matched MeSH terms: Data Collection
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