Displaying publications 1 - 20 of 737 in total

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  1. Isbell M, Bekker LG, Grinsztejn B, Kates J, Kamarulzaman A, Lewin SR, et al.
    BMJ Glob Health, 2022 Nov;7(11).
    PMID: 36446447 DOI: 10.1136/bmjgh-2022-010854
    Matched MeSH terms: HIV Infections*
  2. Rajasuriar R, Hearps AC, Crowe SM, Anzinger JJ, Palmer CS
    Ann Transl Med, 2018 Jul;6(13):277.
    PMID: 30094263 DOI: 10.21037/atm.2018.06.20
    Matched MeSH terms: HIV Infections
  3. Rokiah I
    Family Physician, 1993;5:14-22.
    Matched MeSH terms: HIV Infections
  4. Md Shajahan MY, Yen BYW
    Family Physician, 1993;5:23-27.
    Matched MeSH terms: HIV Infections
  5. Rokiah I
    Family Physician, 1993;5:5-13.
    Matched MeSH terms: HIV Infections
  6. Ismail T, Lee C
    Med J Malaysia, 2011 Mar;66(1):76-82.
    PMID: 23765154 MyJurnal
    Opportunistic pneumonias are major causes of morbidity and mortality in HIV infected individuals. The majority of new HIV infections in Malaysia are adults aged 20 to 39 years old and many are unaware of their HIV status until they present with an opportunistic infection. HIV associated opportunistic pneumonias can progress rapidly without appropriate therapy. Therefore a proper diagnostic evaluation is vital and prompt empiric treatment of the suspected diagnosis should be commenced while waiting for the results of the diagnostic studies. Tuberculosis, Pneumocystis pneumonia (PCP) and recurrent bacterial pneumonias are common causes of AIDS-defining diseases and are discussed in this article.
    Matched MeSH terms: HIV Infections*
  7. Naing C, Sandhu NK, Wai VN
    Medicine (Baltimore), 2016 Apr;95(14):e3205.
    PMID: 27057848 DOI: 10.1097/MD.0000000000003205
    Malaria and human immunodeficiency virus (HIV) infections are globally important public health concerns. The objectives of this study were (i) to determine the prevalence of malaria and HIV co-infections in people living in endemic countries, and (ii) to assess the effect of co-infection on anemia.Studies were searched on electronic databases including PubMed, Embase, Medline, Google Scholar, and African Journals Online. Observational studies, assessing the prevalence of co-infection and reporting its association with anemia, were included. The methodological quality of included studies was assessed using a tool called the risk of bias assessment for non-randomized studies. Heterogeneity among studies was investigated with the I-square test. Pooled prevalence of the co-infection and its 95% confidence interval (CI) were estimated using the random-effect model, reflected on heterogeneity among studies. Summary odds ratio (OR), summary standardized mean difference (SMD), and their corresponding 95% CIs were estimated, as appropriate. Subgroup analysis and meta-regression were performed for robustness of results. Publication bias was assessed by visualization of a funnel plot.Twenty-three studies were included in the present study. Overall, the pooled prevalence of co-infection was 19% (95% CI: 15-23%, I: 98.1%), showing 26% (95% CI: 20-32%, I: 98.7%) in adults, 12% (95% CI: 7-17%, I: 95.0) in pregnant women, and 9% (95% CI: 6-11%, I: 68.6%) in children. Anemia was comparable between the monoinfected and co-infected adults (summary OR: 1.49, 95% CI: 0.93-2.37) and increased by 49% in co-infected pregnant women (summary OR: 1.49, 95% CI: 1.14-1.94). The mean hemoglobin concentration was significantly lower in the co-infected group than the monoinfected group (summary SMD: -0.47, 95% CI: -0.61 to -0.33). The results of meta-regression on the prevalence of co-infection using the publication year and total population as covariates showed the I value remained high implying a de facto random distribution of heterogeneity. An asymmetrical funnel plot indicated the presence of publication bias. Due to heterogeneity of the studies in this review, the results have to be interpreted with caution.The findings of this study suggest that the prevalence of malaria and HIV co-infection, particularly in pregnant women, requires special attention from healthcare personnel. Better understanding of the co-infection is crucial for designing treatment strategies. Future well-powered, prospective designs assessing the interaction between malaria and HIV are recommended.
    Matched MeSH terms: HIV Infections*
  8. J Sykepleien, 1993 Jan 19;81(1):20.
    PMID: 8466793
    Matched MeSH terms: HIV Infections/epidemiology*
  9. Rajasuriar R, Palmer C, Abdel-Mohsen M, Kamaruzzaman SB
    AIDS, 2019 02 01;33(2):345-347.
    PMID: 30562173 DOI: 10.1097/QAD.0000000000002064
    Matched MeSH terms: HIV Infections*
  10. Cheo SW, Ahmad Akbar RZ, Abd Rahman F, Abdul Rashid WNF', Tan YA, Low QJ
    QJM, 2020 Nov 01;113(11):809-812.
    PMID: 32275748 DOI: 10.1093/qjmed/hcaa122
    Matched MeSH terms: HIV Infections*
  11. Rajasuriar R, Wong PL
    Lancet HIV, 2023 Mar;10(3):e145-e146.
    PMID: 36774942 DOI: 10.1016/S2352-3018(23)00027-9
    Matched MeSH terms: HIV Infections*
  12. Copenhaver MM, Tunku N, Ezeabogu I, Potrepka J, Zahari MM, Kamarulzaman A, et al.
    AIDS Res Treat, 2011;2011:131045.
    PMID: 21860786 DOI: 10.1155/2011/131045
    HIV-infected prisoners in Malaysia represent a critical target population for secondary HIV risk reduction interventions and care. We report on the process and outcome of our formative research aimed at systematically selecting and adapting an EBI designed to reduce secondary HIV risk and improve adherence to antiretroviral therapy among soon-to-be-released HIV-infected prisoners. Our formative work involved a critical examination of established EBIs and associated published reports complemented by data elicited through structured interviews and focus groups with key stakeholders, members of the target population, and their family members. Based on all information, we adapted the Holistic Health Recovery Program targeting people living with HIV (HHRP+), an EBI, to consist of eight 2-hour sessions that cover a range of specified topics so that participants may individually apply intervention content as needed to accommodate their particular substance abuse, HIV risk, and antiretroviral adherence issues. This study provides a complete example of the process of selecting and adapting an EBI-taking into account both empirical evidence and input from target organization stakeholders and target population members and their families-for use in real world prison settings where high-risk populations are concentrated.
    Matched MeSH terms: HIV Infections*
  13. Kumar MRR, Arunagirinathan N, Vignesh R, Balakrishnan P, Solomon S, Sunil SS
    J Res Med Sci, 2017;22:69.
    PMID: 28616056 DOI: 10.4103/jrms.JRMS_884_16
    Matched MeSH terms: HIV Infections*
  14. Root R
    Med Anthropol Q, 2006 Sep;20(3):321-44.
    PMID: 16937620
    Minah Karan, the stigmatizing label appended to Malay factory women in the 1980s, signaled a dangerous female sexuality that risked spreading beyond the factory gates and infecting Malaysia's idea(l)s of its traditional kampung culture. This article narrates how Minah Karan, as the former antihero of development, was reconstituted in the 1990s, with the government's labeling of factories as "high-risk settings" for HIV/AIDS. This is an ethnoetiology based not on any evidential epidemiological data but on the racial and gendered "mixing" that transpires behind factory walls: a fear that the "mixing of the sexes" means ipso facto "sexual mixing" among the races. The article demonstrates how importation of the high-risk label articulates at the local level the new and contested linkages, economic, religious, and scientific, constitutive of globalization. The pragmatic nature and imperatives of this high-risk process are discerned in factory women's accounts of how they negotiate the interactional imperatives of factory work, because transnational structures of productivity violate the social boundaries that have long connoted political stability, moral integrity, ethnic community, and individual safety. The article concludes by questioning whether ethnoetiologies, especially when they concern sexual networks, become social etiologies, because this would locate ethnoetiologies as central to conventional public health praxis rather than as ethnographic exotica in the margins.
    Matched MeSH terms: HIV Infections/ethnology*; HIV Infections/transmission
  15. Kamarulzaman A
    Med J Malaysia, 2005 Mar;60(1):1-4.
    PMID: 16250272
    Matched MeSH terms: HIV Infections/epidemiology*; HIV Infections/prevention & control; HIV Infections/transmission
  16. Walsh K
    J Clin Diagn Res, 2014 Oct;8(10):XL01.
    PMID: 25478434 DOI: 10.7860/JCDR/2014/10464.5010
    Comment on: Verma RK, Wong S, Chakravarthi S, Barua A. An Assessment of the Level of Awareness, Attitudes, and Opinions of the Medical Students Concerning HIV and AIDS in Malaysia. J Clin Diagn Res. 2014;8(4):HC10–13
    Matched MeSH terms: HIV Infections
  17. Cheong IKS
    Family Physician, 1993;5:35-36.
    Matched MeSH terms: HIV Infections
  18. Ho BKW
    Family Physician, 1994;6:29-35.
    Matched MeSH terms: HIV Infections
  19. Berry J
    Posit Aware, 2013 Sep-Oct;25(6):22-3.
    PMID: 24847583
    Matched MeSH terms: HIV Infections/therapy*
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