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1.
BMC Public Health ; 13: 38, 2013 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-23320567

RESUMO

BACKGROUND: We investigated gender differences in treatment outcome during first line antiretroviral treatment (ART) in a hospital setting in Tanzania, assessing clinical, social demographic, virological and immunological factors. METHODS: We conducted a cohort study involving HIV infected patients scheduled to start ART and followed up to 1 year on ART. Structured questionnaires and patients file review were used to collect information and blood was collected for CD4 and viral load testing. Gender differences were assessed using Kruskal-Wallis test and chi-square test for continuous and categorical data respectively. Survival distributions for male and female patients were estimated using the Kaplan-Meier method and compared using Cox proportional hazards models. RESULTS: Of 234 patients recruited in this study, 70% were females. At baseline, women had significantly lower education level; lower monthly income, lower knowledge on ARV, less advanced HIV disease (33% women; 47% men started ART at WHO stage IV, p = 0.04), higher CD4 cell count (median 149 for women, 102 for men, p = 0.02) and higher BMI (p = 0.002). After 1 year of standard ART, a higher proportion of females survived although this was not significant, a significantly higher proportion of females had undetectable plasma viral load (69% women, 45% men, p = 0.003), however females ended at a comparable CD4 cell count (median CD4, 312 women; 321 men) signifying a worse CD4 cell increase (p = 0.05), even though they still had a higher BMI (p = 0.02). The unadjusted relative hazard for death for men compared to women was 1.94. After correcting for confounding factors, the Cox proportional hazards showed no significant difference in the survival rate (relative hazard 1.02). CONCLUSION: We observed women were starting treatment at a less advanced disease stage, but they had a lower socioeconomical status. After one year, both men and women had similar clinical and immunological conditions. It is not clear why women lose their immunological advantage over men despite a better virological treatment response. We recommend continuous follow up of this and more cohorts of patients to better understand the underlying causes for these differences and whether this will translate also in longer term differences.


Assuntos
Fármacos Anti-HIV/uso terapêutico , Progressão da Doença , Infecções por HIV/tratamento farmacológico , Infecções por HIV/patologia , Disparidades nos Níveis de Saúde , Adulto , Contagem de Linfócito CD4/estatística & dados numéricos , Feminino , Seguimentos , Infecções por HIV/imunologia , Infecções por HIV/virologia , Humanos , Masculino , Modelos de Riscos Proporcionais , Fatores Sexuais , Fatores Socioeconômicos , Inquéritos e Questionários , Tanzânia , Fatores de Tempo , Resultado do Tratamento , Carga Viral/estatística & dados numéricos
3.
Onderstepoort J Vet Res ; 79(2): 460, 2012 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-23327383

RESUMO

One-health approaches have started being applied to health systems in some countries in controlling infectious diseases in order to reduce the burden of disease in humans, livestock and wild animals collaboratively. However, one wonders whether the problem of lingering and emerging zoonoses is more affected by health policies, low application of one-health approaches, or other factors. As part of efforts to answer this question, the Southern African Centre for Infectious Disease Surveillance (SACIDS) smart partnership of human health, animal health and socio-economic experts published, in April 2011, a conceptual framework to support One Health research for policy on emerging zoonoses. The main objective of this paper was to identify which factors really affect the burden of disease and how the burden could affect socio-economic well-being. Amongst other issues, the review of literature shows that the occurrence of infectious diseases in humans and animals is driven by many factors, the most important ones being the causative agents (viruses, bacteria, parasites, etc.) and the mediator conditions (social, cultural, economic or climatic) which facilitate the infection to occur and hold. Literature also shows that in many countries there is little collaboration between medical and veterinary services despite the shared underlying science and the increasing infectious disease threat. In view of these findings, a research to inform health policy must walk on two legs: a natural sciences leg and a social sciences one.


Assuntos
Controle de Doenças Transmissíveis , Efeitos Psicossociais da Doença , Política de Saúde , Comunicação Interdisciplinar , Zoonoses , África Austral , Animais , Doenças Transmissíveis Emergentes/prevenção & controle , Doenças Transmissíveis Emergentes/veterinária , Humanos , Fatores Socioeconômicos
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