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Time to detection of anemia and its predictors among children living with HIV at Debre Tabor and University of Gondar Compressive Specialized Hospitals, 2020: a multicentre retrospective follow-up study

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dc.contributor.author Ermias, Sisay Chanie
dc.contributor.author Dejen, Getanh Feleke
dc.contributor.author Sintayehu, Asnakew
dc.contributor.author Fisha, Alebel
dc.contributor.author Gebre, Eyesus
dc.contributor.author Aragaw, Tesfaw
dc.contributor.author Wubet, Alebachew Bayih
dc.contributor.author Agimasie, Tigabu
dc.contributor.author Yared, Asmare Anyalem
dc.contributor.author Abraham, Tsedalu Amare
dc.contributor.author Demeke, Mesfin Belay
dc.contributor.author Fentaw, Teshome Dagnaw
dc.contributor.author Biruk, Beletew Abate
dc.date.accessioned 2021-09-13T07:53:42Z
dc.date.available 2021-09-13T07:53:42Z
dc.date.issued 2021-03-30
dc.identifier.citation DOI: 10.1186/s12887-021-02616-0 en_US
dc.identifier.uri http://etd.dbu.edu.et:80/handle/123456789/670
dc.description.abstract Background: Even though antiretroviral therapy access for HIV infected children increased dramatically, anemia have been continued as a challenge regardless of a cluster of differentiation (CD4) count and viral load. Hence, this study aimed to assess the time to detection of anemia and its predictors among children living with HIV at Debre Tabor and university of Gondar compressive specialized hospital, 2020. Methods: A retrospective follow-up study was conducted from January 2010 to December 2018. A total of 372 children under the age of 15 who had received ART were included in the study. Data were collected from children’s medical charts and ART registration logbook using a standard checklist. Besides, the data were entered into Epi data 4.2.2 and then exported to Stata 14.0 for further analysis. The Cox regression model, the variables having P-value ≤.05 with 95% CIs in multivariable analysis were declared as statistically significant for anemia. Result: The mean (±SD) of follow-up periods were 56.6 ± 1.7 SD months. The overall median survival time free from anemia was 137 months, and the incidence rate of anemia was 6.9 per 100 PYO (95% CI: 5.3, 7.8). Moreover, WHO clinical staging of III/IV [AHR: 4.2, 95% CI: 1.80, 11.1], low CD4 count below threshold [AHR: 1.9, 95% CI: 1.09, 3.37], cotrimoxazole preventive therapy non-users, and poor level of adherence [(AHR: 2.4, 95% CI: 1.20, 4.85] were the main predictors of the time to detection of anemia. Conclusion: The incidence rate of anemia in our retrospective cohort was high. The risk of anemia is present in children living with HIV infection but the risk for anemia is increased based on (WHO clinical staging III and IV, CD4 count below the threshold level, CPT non-users, and poor level of adherence). Since many of these risk factors are present routinely, even within one single patient, our clinical monitoring for anemia quarterly was fully justified as was our routine switch from standard therapies such as AZT to another regimen upon lab confirmation of anemia. Additional methods to improve cotrimoxazole preventative therapy and level of adherence are also needed. en_US
dc.language.iso en en_US
dc.publisher BMC Pediatrics 21(151);2021 en_US
dc.relation.ispartofseries 21(151);2021;
dc.title Time to detection of anemia and its predictors among children living with HIV at Debre Tabor and University of Gondar Compressive Specialized Hospitals, 2020: a multicentre retrospective follow-up study en_US
dc.type Article en_US


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