Displaying all 11 publications

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  1. Iqbal MS, Iqbal MZ, Iqbal MW, Bahari MB
    Value Health, 2015 Nov;18(7):A620.
    PMID: 26533480 DOI: 10.1016/j.jval.2015.09.2170
    Objectives: To evaluate the prevalence and patterns of CAM use among diabetes patients in Pakistan. In addition, the study also focused on the perceived effectiveness of CAM over conventional therapies, information seeking behavior and CAM disclosure to healthcare providers.
    Methods: A prospective, cross-sectional and self-administered questionnaire based study was conducted in tertiary care public hospitals in Pakistan. A prevalence based sample of 350 diabetes patients attending the tertiary hospital in Punjab, Pakistan were selected for the study. All obtained data were analyzed using descriptive and inferential statistics.
    Results: Overall, 327 questionnaires were completed and included in the analysis, showing that 52.8% of diabetics had used CAM, with most (62.4%) believing that CAM therapies assist body’s natural forces to heal. CAM usage was significantly associated with gender (P=0.001), level of education (P=0.001), employment status (P=0.03) and monthly income (P<0.001).
    Conclusions: Diabetes treatment and management requires compliance to effective therapies at early stages. Healthcare providers should engage diabetics in an open non-judgmental dialogue to ascertain better understanding of diabetes and its management options.
  2. Iqbal MZ, Iqbal MS, Khan AH, Sulaiman SA, Iqbal MW
    Value Health, 2014 Nov;17(7):A353.
    PMID: 27200693 DOI: 10.1016/j.jval.2014.08.744
    Conference abstract:
    OBJECTIVES.. To evaluate doctors’ adherence to Malaysian Clinical Practice Guideline (CPG) 2009 in the management of diabetes mellitus with co-morbidities in Malaysia.
    METHODS. Cross-sectional study was done at a tertiary-care hospital in Malaysia. Total 51 physicians and 1020 patients’ prescriptions written by same physicians (20 prescriptions per physician) were analyzed. All patients had diabetes mellitus with co-morbidities. Depending on the recommendations of CPG 2009, the prescriptions were clustered as adherent and non-adherent prescriptions. All obtained data were analyzed using descriptive and inferential statistics.
    RESULTS. A statistically significant negative association (Ф= 0.094, p-value=0.003) was observed between diabetes mellitus control and co-morbidities. CPG adherent had statistically weak negative association (Ф= - 0.081, p-value=0.010) with patients having co-morbidities (41.6%). No statistically significant association was observed between CPG adherence and any other co-morbidity. Majority of the patients received guidelines-compliant pharmacotherapy. The overall good level of physician adherence with CPG 2009 was observed in the management of diabetes mellitus with co-morbidities.
    CONCLUSIONS. The study explored several features of prescription pattern of the physicians involved in the management of diabetes mellitus with co-morbidities and recognized the need for improvement in their prescription pattern for treating the diabetes mellitus.
  3. Mustafa S, Iqbal MW, Rana TA, Jaffar A, Shiraz M, Arif M, et al.
    Comput Intell Neurosci, 2022;2022:4348235.
    PMID: 35909861 DOI: 10.1155/2022/4348235
    Malignant melanoma is considered one of the deadliest skin diseases if ignored without treatment. The mortality rate caused by melanoma is more than two times that of other skin malignancy diseases. These facts encourage computer scientists to find automated methods to discover skin cancers. Nowadays, the analysis of skin images is widely used by assistant physicians to discover the first stage of the disease automatically. One of the challenges the computer science researchers faced when developing such a system is the un-clarity of the existing images, such as noise like shadows, low contrast, hairs, and specular reflections, which complicates detecting the skin lesions in that images. This paper proposes the solution to the problem mentioned earlier using the active contour method. Still, seed selection in the dynamic contour method has the main drawback of where it should start the segmentation process. This paper uses Gaussian filter-based maximum entropy and morphological processing methods to find automatic seed points for active contour. By incorporating this, it can segment the lesion from dermoscopic images automatically. Our proposed methodology tested quantitative and qualitative measures on standard dataset dermis and used to test the proposed method's reliability which shows encouraging results.
  4. Shahab M, Iqbal MW, Ahmad A, Alshabrmi FM, Wei DQ, Khan A, et al.
    Comput Biol Med, 2024 Mar;170:108056.
    PMID: 38301512 DOI: 10.1016/j.compbiomed.2024.108056
    The Nipah virus (NPV) is a highly lethal virus, known for its significant fatality rate. The virus initially originated in Malaysia in 1998 and later led to outbreaks in nearby countries such as Bangladesh, Singapore, and India. Currently, there are no specific vaccines available for this virus. The current work employed the reverse vaccinology method to conduct a comprehensive analysis of the entire proteome of the NPV virus. The aim was to identify and choose the most promising antigenic proteins that could serve as potential candidates for vaccine development. We have also designed B and T cell epitopes-based vaccine candidate using immunoinformatics approach. We have identified a total of 5 novel Cytotoxic T Lymphocytes (CTL), 5 Helper T Lymphocytes (HTL), and 6 linear B-cell potential antigenic epitopes which are novel and can be used for further vaccine development against Nipah virus. Then we performed the physicochemical properties, antigenic, immunogenic and allergenicity prediction of the designed vaccine candidate against NPV. Further, Computational analysis indicated that these epitopes possessed highly antigenic properties and were capable of interacting with immune receptors. The designed vaccine were then docked with the human immune receptors, namely TLR-2 and TLR-4 showed robust interaction with the immune receptor. Molecular dynamics simulations demonstrated robust binding and good dynamics. After numerous dosages at varied intervals, computational immune response modeling showed that the immunogenic construct might elicit a significant immune response. In conclusion, the immunogenic construct shows promise in providing protection against NPV, However, further experimental validation is required before moving to clinical trials.
  5. Iqbal MS, Iqbal MZ, Barua A, Veettil SK, Wei LY, Kit LW, et al.
    Value Health, 2014 Nov;17(7):A594.
    PMID: 27202037 DOI: 10.1016/j.jval.2014.08.2046
    OBJECTIVES. Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) appears to be the main reason of hospitalization in COPD patients. Since substantial economic burden of COPD have not been previously studied in Malaysia, this study aimed at estimating and identifying different costs and related burden of illness in patients receiving treatment of AECOPD in a tertiary care hospital in Malaysia.
    METHODS. A prospective follow-up study was performed in Department of Accident and Emergency and Respiratory Medicine of the hospital. Data were derived on the basis of per exacerbation episode. Relationship between direct medical costs and disease severity was analyzed using various descriptive and inferential statistical approaches.
    RESULTS. Median actual direct medical costs and out-of-pocket costs were RM 457.68 (US$ 141.97) and RM 28.25 (US$ 8.76) per exacerbation respectively. Drug cost (41%) was the leading cost driver, followed by unit cost of treatment per bed (33.6%) and lab investigation cost (25.4%). However, food cost (44.2%) represented the largest proportion in out-of-pocket costs. More than 90% of actual direct medical costs were supported by the Government of Malaysia in the patients studied.
    CONCLUSIONS. Impacts of AECOPD in health care resources are worthy of attention. Cost information from pharmacoeconomic studies is important in decision making for health care professionals and policy makers in order to improve health care outcome and minimize costs.
  6. Iqbal MS, Iqbal MZ, Barua A, Veettil SK, Ling TK, Yong NB, et al.
    Value Health, 2014 Nov;17(7):A594.
    PMID: 27202038 DOI: 10.1016/j.jval.2014.08.2045
    Objectives: The cost of acute exacerbations of asthma had not been well studied in literature. The aim of this study was to identify and quantify the (average) cost of moderate and severe exacerbations of asthma in patients attending tertiary-care setup in Malaysia. The related burden of exacerbations was also calculated.
    Methods: The costs including lab investigation charges, unit costs of treatment per bed, medication charges, food costs, transportation costs and loss of productivity were calculated per asthma episode. Data was analysed by Statistical Package for the Social Sciences (SPSS) version 18.0 using various descriptive and inferential statistical tests.
    Results: A median medical cost of acute exacerbation of asthma under Ministry of Health’s (MOH) perspective was USD 105.00 (RM338.47) per episode. Medication cost comprised the majority (52.38%) of the total medical costs. A median medical cost of acute exacerbation of asthma under patient’s perspective was USD 1.55 (RM4.99) per episode. ConclusionsAsthma exacerbation and length of stay in the hospital were proportional to the direct medical costs. In Malaysia, a substantial proportion of the direct medical cost of asthma treatment is heavily subsidised for the locals.
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