METHODS: Articles published from 2012 to 2021 were searched through seven databases. Studies that established the relationship for risk factors of TB treatment interruption among adult Asian were included. Relevant articles were screened, extracted and appraised using Joanna Briggs Institute's checklists for cohort, case-control and cross-sectional study designs by three reviewers. Meta-analysis was performed using the random effect model in Review Manager software. The pooled prevalence and predictors of treatment interruption were expressed in ORs with 95% CIs; heterogeneity was assessed using the I2 statistic. The publication bias was visually inspected using the funnel plot.
RESULTS: Fifty eligible studies (658 304 participants) from 17 Asian countries were included. The overall pooled prevalence of treatment interruption was 17% (95% CI 16% to 18%), the highest in Southern Asia (22% (95% CI 16% to 29%)), followed by Eastern Asia (18% (95% CI 16% to 20%)) and South East Asia (16% (95% CI 4% to 28%)). Seven predictors were identified to increase the risk of treatment interruption, namely, male gender (OR 1.38 (95% CI 1.26 to 1.51)), employment (OR 1.43 (95% CI 1.11 to 1.84)), alcohol intake (OR 2.24 (95% CI 1.58 to 3.18)), smoking (OR 2.74 (95% CI 1.98 to 3.78)), HIV-positive (OR 1.50 (95% CI 1.15 to 1.96)), adverse drug reactions (OR 2.01 (95% CI 1.20 to 3.34)) and previously treated cases (OR 1.77 (95% CI 1.39 to 2.26)). All predictors demonstrated substantial heterogeneity except employment and HIV status with no publication bias.
CONCLUSION: The identification of predictors for TB treatment interruption enables strategised planning and collective intervention to be targeted at the high-risk groups to strengthen TB care and control in the Asia region.
OBJECTIVE: To summarize the current information on popPK of polyclonal IgG therapy.
METHOD: A systematic search was conducted in the PubMed and Web of Science databases from inception to December 2020. Additional relevant studies were also included by reviewing the reference list of the reviewed articles. All popPK studies that employed the NLME modeling approach were included and data were synthesized descriptively.
RESULTS: This review included seven studies. Most of the popPK models were developed in patients with primary immunodeficiency (PID). IgG pharmacokinetics was described as a two-compartment model in five studies, while it was described as a one-compartment model in two other studies. Among all tested covariates, weight was consistently identified as a significant predictor for clearance (CL) of IgG. Whereas, weight and disease type were found to be significant predictors for the volume of distribution in central compartment (Vc). In a typical 70 kg adult, the median estimated values of Vc and CL were 4.04 L and 0.144 L/day, respectively. The between subject variability of Vc was considered large. Only two studies evaluated their models using external data.
CONCLUSIONS: Seven popPK studies of IgG were found and discussed, with only weight being a significant covariate across all studies. Future studies linking pharmacokinetics with pharmacodynamics in PID and other patient populations are required.
OBJECTIVE: To develop an adherence prediction model for CKD patients.
METHODS: This multi-centre, cross-sectional study was conducted in 10 tertiary hospitals in Malaysia using simple random sampling of CKD patients with ≥1 medication (sample size = 1012). A questionnaire-based collection of patient characteristics, adherence (defined as ≥80% consumption of each medication for the past one month), and knowledge of each medication (dose, frequency, indication, and administration) was performed. Continuous data were converted to categorical data, based on the median values, and then stratified and analysed. An adherence prediction model was developed through multiple logistic regression in the development group (n = 677) and validated on the remaining one-third of the sample (n = 335). Beta-coefficient values were then used to determine adherence scores (ranging from 0 to 7) based on the predictors identified, with lower scores indicating poorer medication adherence.
RESULTS: Most of the 1012 patients had poor medication adherence (n = 715, 70.6%) and half had good medication knowledge (n = 506, 50%). Multiple logistic regression analysis determined 4 significant predictors of adherence: ≤7 medications (constructed score = 2, p
METHODS: Subsidised and self-paying patients were identified at public and private healthcare institutions in three states of Malaysia. Patients were then purposively selected for semi-structured, face-to-face interviews according to their medication adherence status (including adherent and non-adherent patients), which was measured using the Medication Event Monitoring System (MEMS). Adherence was defined as having 80% or more for the percentage of days in which the dose regimen was executed as prescribed. The interview was conducted from January to August 2016 and during the interviews, patients were asked to provide reasons for their medication adherence or non-adherence. The patient interviews were audio recorded and transcribed verbatim. Data were analysed using thematic analysis with NVivo 11 software.
RESULTS: Thirteen subsidised and 12 self-paying patients were interviewed. The themes found among subsidised and self-paying patients were similar. The factors that influenced adherence to medication include the 'perceived importance of quality of life' and 'perceived benefit or value of the medications'. A unique factor reported by patients in this study included 'perceived value of the money spent on medications'; more specifically, patients adhered to their medications because they valued the money spent to buy/receive the medications.
CONCLUSION: Medication adherence among subsidised and self-paying patients was influenced by many factors, including a unique factor relating to their perceptions of the value of money spent on medications.
METHODS: This was a cross-sectional study of patients with chronic diseases in two tertiary hospitals in Selangor, Malaysia. Patients who agreed to participate in the study were asked to answer questions in the following areas: 1) perceived group and higher authority cultural orientations; 2) religiosity: organizational and non-organizational religious activities, and intrinsic religiosity; 3) perceived social support; and 4) self-reported medication adherence. Patients' medication adherence was modeled using multiple logistic regressions, and only variables with a P-value of <0.25 were included in the analysis.
RESULTS: A total of 300 patients completed the questionnaire, with the exception of 40 participants who did not complete the cultural orientation question. The mean age of the patients was 57.6±13.5. Group cultural orientation, organizational religious activity, non-organizational religious activity, and intrinsic religiosity demonstrated significant associations with patients' perceived social support (r=0.181, P=0.003; r=0.230, P<0.001; r=0.135, P=0.019; and r=0.156, P=0.007, respectively). In the medication adherence model, only age, duration of treatment, organizational religious activity, and disease type (human immunodeficiency virus) were found to significantly influence patients' adherence to medications (adjusted odds ratio [OR] 1.05, P=0.002; OR 0.99, P=0.025; OR 1.19, P=0.038; and OR 9.08, P<0.05, respectively).
CONCLUSION: When examining religious practice and cultural orientation, social support was not found to have significant influence on patients' medication adherence. Only age, duration of treatment, organizational religious activity, and disease type (human immunodeficiency virus) had significant influence on patients' adherence.
METHODS: As an exploratory study, its approach is to investigate at an in-depth level of understanding of safe use elements from the involved stakeholders: consumers and practitioners. We had a total of 4 focus group discussion sessions (1 FGD session with consumer and 3 FGD sessions with practitioners) as a method of collecting data from the participants. The FGDs were conducted in local native Malaysian and then being translated by researchers without changing their meanings. Thematic analysis was done which involves methodically reading through the verbatim transcripts and consequently segmenting and coding the text into categories that highlight what the participants have discussed.
RESULTS: From the result, we found that both practitioners and consumers agreed a safe FHP must be in compliance with the guidelines from the Ministry of Health Malaysia (MOH). There are other safe use elements highlighted including halal certification, trusted over-the-counter outlets, and published reports on the safety, efficacy, and quality.
CONCLUSIONS: In conclusion, both practitioners and consumers agreed that the most important safe-use element is compliance with MOH guidelines, but the depth of discussion regarding the safety elements among these stakeholders holds a very huge gap. Thus, initiatives must be planned to increase the knowledge and understanding about the MOH guidelines towards achieving a sustainable ecosystem in the safe use of FHPs.
METHODS: A retrospective cohort study was conducted on hospitalised adult COVID-19 patients admitted between June and August 2021 in general COVID-19 wards, treated with methylprednisolone. Clinical outcomes evaluated include in-hospital mortality, thirty-day mortality, clinical efficacy (C-reactive protein (CRP), total white blood cells (TWBC) and oxygen requirement) as well as the safety of methylprednisolone.
RESULTS: Of 278 patients, 1(0.4%) received weight-based dosing of 1 mg/kg/day, 101(36.3%) received weight-based dosing of 2 mg/kg/day, 130(46.8%) received fixed dosing methylprednisolone 250 mg/day and 46(16.5%) received fixed dosing methylprednisolone 500 mg/day. There was a significant difference in in-hospital mortality rates following different methylprednisolone doses whereby in-hospital mortality occurred in 22.5% (n = 23) of patients with 1 or 2 mg/kg/day methylprednisolone, 32.3% (n = 42) with 250 mg/day and 39.1% (n = 18) with 500 mg/day (p = 0.023). On the other hand, no significant difference in thirty-day mortality, clinical efficacy and safety was observed between different dosing regimens (p > 0.05).
CONCLUSION: The use of methylprednisolone weight-based dosing in hospitalised COVID-19 patients should be considered due to the positive outcome associated with lower in-hospital mortality.
METHODS: We conducted a retrospective cohort study by retrieving 4 years (2018-2021) of TB patients' records at 10 public health clinics in Sarawak, Malaysia. Adult patients (≥18 years) with drug-susceptible TB were selected. Treatment interruption was defined as ≥2 weeks of cumulative interruption during treatment. The Chi-square test, Mann-Whitney U test, Kaplan-Meier and Cox proportional hazards regression were used to analyse the data, with p
AIM: The aim of this study was to determine the characteristics of medication complexity and polypharmacy and determine their relationship with drug-related problems (DRP) and control of iron overload in transfusion-dependent thalassaemia patients.
METHOD: Data were derived from a cross-sectional observational study on characteristics of DRPs conducted at a Malaysian tertiary hospital. The medication regimen complexity index (MRCI) was determined using a validated tool, and polypharmacy was defined as the chronic use of five or more medications. The receiver operating characteristic curve analysis was used to determine the optimal cut-off value for MRCI, and logistic regression analysis was conducted.
RESULTS: The study enrolled 200 adult patients. The MRCI cut-off point was proposed to be 17.5 (Area Under Curve = 0.722; sensitivity of 73.3% and specificity of 62.0%). Approximately 73% and 64.5% of the patients had polypharmacy and high MRCI, respectively. Findings indicated that DRP was a full mediator in the association between MRCI and iron overload.
CONCLUSION: Transfusion-dependent thalassaemia patients have high MRCI and suboptimal control of iron overload conditions in the presence of DRPs. Thus, future interventions should consider MRCI and DRP as factors in serum iron control.
OBJECTIVES: This study aimed to identify risk factors of TB treatment interruption and construct a predictive scoring model that enables objective risk stratification for better prediction of treatment interruption.
METHODS: A multicentre retrospective cohort study was conducted at public health clinics in Sarawak, Malaysia over 11 months from March 2022 to January 2023, involving adult patients aged ≥18 years with drug-susceptible TB diagnosed between 2018 and 2021. Cumulative missed doses or discontinuation of TB medications for ≥2 weeks, either consecutive or non-consecutive, was considered as treatment interruption. The model was developed and internally validated using the split-sample method. Multiple logistic regression analysed 18 pre-defined variables to identify the predictors of TB treatment interruption. The Hosmer-Lemeshow test and area under the receiver operating characteristic curve (AUC) were employed to evaluate model performance.
RESULTS: Of 2953 cases, two-thirds (1969) were assigned to the derivation cohort, and one-third (984) formed the validation cohort. Positive predictors included smoking, previously treated cases, and adverse drug reactions, while concurrent diabetes was protective. Based on the validation dataset, the model demonstrated good calibration (P = 0.143) with acceptable discriminative ability (AUC = 0.775). A cutoff score of 2.5 out of 11 achieved a sensitivity of 81 % and a specificity of 64.4 %. Risk stratification into low (0-2), medium (3-5), and high-risk (≥6) categories showed ascending interruption rates of 5.3 %, 18.1 %, and 41.3 %, respectively (P
METHODS: Patients were recruited from four hospitals. Clinical data were recorded and blood samples were taken for PK and genetic studies. Population PK parameters were estimated by nonlinear mixed-effects modelling in Monolix®. Models were evaluated using the difference in objective function value, goodness-of-fit plots, visual predictive check and bootstrap analysis. Monte Carlo simulation was conducted to evaluate different dosing regimens for IVIG.
RESULTS: A total of 30 blood samples were analysed from 10 patients. The immunoglobulin G concentration data were best described by a one-compartment model with linear elimination. The final model included both volume of distribution (Vd) and clearance (CL) based on patient's individual weight. Goodness-of-fit plots indicated that the model fit the data adequately, with minor model mis-specification. Genetic polymorphism of the FcRn gene and the presence of bronchiectasis did not affect the PK of IVIG. Simulation showed that 3-4-weekly dosing intervals were sufficient to maintain IgG levels of 5 g L-1 , with more frequent intervals needed to achieve higher trough levels.
CONCLUSIONS: Body weight significantly affects the PK parameters of IVIG. Genetic and other clinical factors investigated did not affect the disposition of IVIG.
PARTICIPANTS AND METHODS: A cross-sectional study was conducted involving physicians and newly diagnosed breast cancer patients from three public/teaching hospitals in Malaysia. The Control Preference Scale (CPS) was administered to patients and physicians, and the Krantz Health Opinion Survey (KHOS) was completed by the patients alone. Binary logistic regression was used to determine the association between sociodemographic characteristics, the patients' involvement in treatment decision-making, and patients' preference for behavioral involvement and information related to their disease.
RESULTS: The majority of patients preferred to share decision-making with their physicians (47.5%), while the second largest group preferred being passive (42.6%) and a small number preferred being active (9.8%). However, the physicians perceived that the majority of patients preferred active decision-making (56.9%), followed by those who desired shared decision-making (32.8%), and those who preferred passive decision-making (10.3%). The overall concordance was 26.5% (54 of 204 patient-physician dyads). The median of preference for information score and behavioral involvement score was 4 (interquartile range [IQR] =3-5) and 2 (IQR =2-3), respectively. In univariate analysis, the ethnicity and educational qualification of patients were significantly associated with the patients' preferred role in the process of treatment decision-making and the patients' preference for information seeking (p>0.05). However, only educational qualification (p=0.004) was significantly associated with patients' preference for information seeking in multivariate analysis.
CONCLUSION: Physicians failed to understand patients' perspectives and preferences in treatment decision-making. The concordance between physicians' perception and patients' perception was quite low as the physicians perceived that more than half of the patients were active in treatment decision-making. In actuality, more than half of patients perceived that they shared decision-making with their physicians.