Baseline Xpert MTB/RIF ct values predict sputum conversion during the intensive phase of anti-TB treatment in HIV infected patients in Kampala, Uganda: a retrospective study

被引:10
|
作者
Namugenyi, Juliet [1 ]
Musaazi, Joseph [1 ]
Katamba, Achilles [2 ]
Kalyango, Joan [2 ,3 ]
Sendaula, Emmanuel [2 ]
Kambugu, Andrew [1 ]
Fehr, Jan [4 ,5 ]
Castelnouvo, Barbara [1 ]
Manabe, Yukari C. [1 ,6 ]
Ssengooba, Willy [7 ,8 ]
Sekaggya-Wiltshire, Christine [1 ,8 ]
机构
[1] Makerere Univ, Infect Dis Inst, Coll Hlth Sci, Kampala, Uganda
[2] Makerere Univ, Sch Med, Coll Hlth Sci, Clin Epidemiol Unit, Kampala, Uganda
[3] Makerere Univ, Dept Pharm, Coll Hlth Sci, Kampala, Uganda
[4] Univ Zurich Hosp, Div Infect Dis, Zurich, Switzerland
[5] Univ Zurich Hosp, Hosp Epidemiol, Zurich, Switzerland
[6] Johns Hopkins Univ, Divi Infect Dis, Sch Med, Dept Med, Kampala, Uganda
[7] Makerere Univ, Dept Med Microbiol, Coll Hlth Sci, Kampala, Uganda
[8] Makerere Univ, Makerere Lung Inst, Coll Hlth Sci, Kampala, Uganda
基金
美国国家卫生研究院;
关键词
Mycobacterium tuberculosis; HIV; Xpert MTB; RIF; Baseline ct values; Time to positivity; Colony count; PULMONARY TUBERCULOSIS; CULTURE; PERFORMANCE; DIAGNOSIS; MORTALITY; ASSAY;
D O I
10.1186/s12879-021-06220-6
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BackgroundIn resource-limited settings, sputum smear conversion is used to document treatment response. Many People living with HIV (PLHIV) are smear-negative at baseline. The Xpert MTB/RIF test can indirectly measure bacterial load through cycle threshold (ct) values. This study aimed to determine if baseline Xpert MTB/RIF could predict time to culture negativity in PLHIV with newly diagnosed TB.MethodsA subset of 138 PLHIV from the 'SOUTH' study on outcomes related to TB and antiretroviral drug concentrations were included. Bacterial load was estimated by Mycobacterium Growth Indicator Tubes (MGIT) culture time-to-positivity (TTP) and Lowenstein Jensen (LJ) colony counts. Changes in TTP and colony counts were analyzed with Poisson Generalised Estimating Equations (GEE) and multilevel ordered logistic regression models, respectively, while time to culture negativity analysed with Cox proportional hazard models. ROC curves were used to explore the accuracy of the ct value in predicting culture negativity.ResultsA total of 81 patients (58.7%) were males, median age 34 (IQR 29 - 40) years, median CD4 cell count of 180 (IQR 68 - 345) cells/mu L and 77.5% were ART naive. The median baseline ct value was 25.1 (IQR 21.0 - 30.1). A unit Increase in the ct value was associated with a 5% (IRR=1.05 95% CI 1.04 - 1.06) and 3% (IRR=1.03 95% CI 1.03 - 1.04) increase in TTP at week 2 and 4 respectively. With LJ culture, a patient's colony grade was reduced by 0.86 times (0R=0.86 95% CI 0.74 - 0.97) at week 2 and 0.84 times (OR=0.84 95% CI 0.79 - 0.95 P=0.002) at week 4 for every unit increase in the baseline ct value. There was a 3% higher likelihood of earlier conversion to negativity for every unit increase in the ct value. A ct cut point >= 28 best predicted culture negativity at week 4 with a sensitivity of 91. 7% & specificity 53.7% while a cut point >= 23 best predicted culture negativity at week 8.ConclusionBaseline Xpert MTB/RIF ct values predict sputum conversion in PLHIV on anti-TB treatment. Surrogate biomarkers for sputum conversion in PLHIV are still a research priority.
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页数:9
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