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      Incidence and predictors of tuberculosis among adult people living with human immunodeficiency virus at the University of Gondar Referral Hospital, Northwest Ethiopia

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          Abstract

          Background

          Tuberculosis (TB) is the leading killer of people living with HIV (PLHIV). Many of these deaths occur in developing countries. This study aimed at determining the incidence and predictors of tuberculosis among PLHIV.

          Methods

          A five year retrospective follow up study was conducted among adult PLHIV. The Cox proportional hazards model was used to identify predictors.

          Results

          A total of 470 patients were followed and produced 1724.13 Person-Years (PY) of observation, and 136 new TB cases occurred during the follow up period. The overall incidence density of TB was 7.88 per 100 PY. It was high (95.9/100PY) in the first year of enrolment. The cumulative proportion of TB- free survivals was 79% and 67% at the end of the first and fifth years, respectively. Baseline WHO clinical stage III (AHR = 2.88, 95% CI = 1.53-5.43), WHO clinical stage IV (AHR = 3.82, 95% CI = 1.86-7.85), CD4 count <50 cell/ul (AHR = 2.13, 95% CI = 1.28-3.53) and ambulatory or bed ridden functional status (AHR = 1.64, 95%CI = 1.13-2.38) were predictors of time to TB occurrence.

          Conclusions

          TB incidence rate among PLHIV, especially in the first year of enrollment was high. Advanced WHO clinical stage, limited functional status, and low CD4 count (<50 cell cell/ul) were found to be the independent predictors of TB occurrence. Early care seeking and initiation of HAART to improve the CD4 count and functional status are important to reduce the risk of TB infection.

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          Most cited references14

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          Paradoxical reactions during tuberculosis treatment in patients with and without HIV co-infection.

          It has been suggested that deterioration of tuberculosis (TB) during appropriate treatment, termed a paradoxical reaction (PR), is more common and severe in HIV positive individuals on highly active antiretroviral therapy (HAART). A study was undertaken to determine the frequency of PR and its associated features in a population of HIV+TB+ patients and a similar sized group of HIV-TB+ individuals. PR occurred in 28% of 50 HIV+TB+ patients and 10% of 50 HIV-TB+ patients. Disseminated TB was present in eight of 13 HIV+TB+ patients and four of five HIV-TB+ patients with PR. In 28 HIV+TB+ patients starting HAART, PR was significantly associated with commencing HAART within 6 weeks of starting antituberculosis treatment (p = 0.03) and was more common in those with disseminated TB (p = 0.09). No association was found between development of PR and baseline CD4 count or CD4 response to HAART. PR is common in HIV infected and uninfected individuals with TB. Early introduction of HAART and the presence of disseminated TB appear to be important in co-infected patients.
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            Common mental disorders in TB/HIV co-infected patients in Ethiopia

            Background- The relationship between TB/HIV co-infection and common mental disorders (CMD) has been scarcely investigated. In this study, we compared the occurrence of CMD in TB/HIV co-infected and non-co-infected HIV patients in Ethiopia. Methods- We conducted a cross sectional study in three hospitals in Ethiopia from February to April, 2009. The study population consisted of 155 TB/HIV co-infected and 465 non-co-infected HIV patients. CMD was assessed through face to face interviews by trained clinical nurses using the Kessler 10 scale. Several risk factors for CMD were assessed using a structured questionnaire. Results- TB/HIV co-infected patients had significantly (p = 0.001) greater risk of CMD (63.7%) than the non-co-infected patients (46.7%). When adjusted for the effect of potential confounding variables, the odds of having CMD for TB/HIV co-infected individuals was 1.7 times the odds for non-co-infected patients [OR = 1.7, (95%CI: 1.0, 2.9)]. Individuals who had no source of income [OR = 1.7, (95%CI: 1.1, 2.8)], and day labourers [OR = 2.4, 95%CI: 1.2, 5.1)] were more likely to have CMD as compared to individuals who had a source of income and government employees respectively. Patients who perceived stigma [OR = 2.2, 95%CI: 1.5, 3.2)] and who rate their general health as "poor" [OR = 10.0, 95%CI: 2.8, 35.1)] had significantly greater risk of CMD than individual who did not perceive stigma or who perceived their general health to be "good". Conclusion- TB/HIV control programs should develop guidelines to screen and treat CMD among TB/HIV co-infected patients. Screening programs should focus on individuals with no source of income, jobless people and day labourers.
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              Tuberculosis and HIV co-infection: its impact on quality of life

              Background- Very little is known about the quality of life of tuberculosis (TB) and HIV co-infected patients. In this study in Ethiopia, we compared the quality of life HIV positive patients with and without TB. Methods- A cross sectional study was conducted from February to April, 2009 in selected hospitals in Oromiya Regional state, Ethiopia. The study population consisted of 467 HIV patients and 124 TB/HIV co-infected patients. Data on quality of life was collected by trained nurses through face to face interviews using the short Amharic version of the World Health Organization Quality of Life Instrument for HIV clients (WHOQOL HIV). Depression was assessed using a validated version of the Kessler scale. Data was collected by trained nurses and analyzed using SPSS 15.0 statistical software. Results TB/HIV co-infected patients had a lower quality of life in all domains as compared to HIV infected patients without active TB. Depression, having a source of income and family support were strongly associated with most of the Quality of life domains. In co-infected patients, individuals who had depression were 8.8 times more likely to have poor physical health as compared to individuals who had no depression, OR = 8.8(95%CI: 3.2, 23). Self-stigma was associated with a poor quality of life in the psychological domain. Conclusion- The TB control program should design strategies to improve the quality of life of TB/HIV co-infected patients. Depression and self-stigma should be targeted for intervention to improve the quality of life of patients.
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                Author and article information

                Journal
                BMC Infect Dis
                BMC Infect. Dis
                BMC Infectious Diseases
                BioMed Central
                1471-2334
                2013
                28 June 2013
                : 13
                : 292
                Affiliations
                [1 ]Department of Health Officer, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia
                [2 ]Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, P.O.Box 196, Gondar, Ethiopia
                [3 ]Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, The University of Bahirdar, P.O.Box 79, Bahirdar, Ethiopia
                Article
                1471-2334-13-292
                10.1186/1471-2334-13-292
                3698213
                23806088
                e2f2905a-8462-4464-b7f2-941d1ee9b3a2
                Copyright ©2013 Addis Alene et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 August 2012
                : 20 June 2013
                Categories
                Research Article

                Infectious disease & Microbiology
                tuberculosis,hiv infection,incidence,predictors,gondar
                Infectious disease & Microbiology
                tuberculosis, hiv infection, incidence, predictors, gondar

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