Abstract
Early mortality after initiation of antiretroviral therapy (ART) occurs in 9–39% of patients in sub-Saharan Africa. A significant proportion of deaths are attributable to tuberculosis (TB). Low baseline CD4 T-cell count and low body mass index (BMI) are strongly associated with early mortality. We hypothesized that initiation of ART concurrent with presumptive anti-TB chemotherapy in high-risk patients would reduce mortality within the first 6 months by treating unrecognized TB. From October 2011 to December 2012, ART-naive, smear-negative participants with a CD4 T-cell count < 50 cells/μL and BMI < 18 kg/m2 were randomly assigned to undergo either empiric four-drug anti-TB treatment followed 2 weeks later by efavirenz-based ART (N = 23) (ART + TB) or ART only (N = 20). This open-label, 1:1 randomized, controlled trial took place in Uganda, Mozambique, and Gabon and was stopped prematurely by the sponsor for slow recruitment. Overall, the 43 participants had a median CD4 of 22 (interquartile range [IQR]: 9–35) cells/μL and a median BMI of 17.5 (IQR: 16.6–18.0) kg/m2. The mortality was 14% (95% confidence interval [CI]: 5.3–27.9); two (10.0%) participants (ART-only group), and four (17.4%; ART + TB group). The associated hazard ratio (HR) for all-cause mortality was 1.6 (95% CI: 0.30–8.90). Despite limited enrollment, the study did not suggest that empiric TB treatment in severely immunosuppressed patients with low BMI decreased mortality and, had an HR in the opposite direction than expected. Notably, two participants in the ART + TB group died with autopsy-confirmed drug-induced hepatotoxicity. Improved TB diagnostics sensitive in immunosuppressed patients presenting late to care are urgently needed for more targeted interventions.
Introduction
In sub-Saharan Africa (SSA), there are 24.7 million people living with human immunodeficiency virus (HIV); 71% of the global total.1 The scale-up of antiretroviral therapy (ART) in SSA has been massive, with an estimated 11.7 million HIV-infected patients on ART by the end of 2013. Early in the roll-out of life-saving ART, incidence rates of early mortality after ART in SSA ranged from 9% to 39%2 and were significantly higher than in developed countries.3 Risk factors for early mortality include low CD4 T-cell count (< 50 cells/μL)4,5 with a combined hazard ratio (HR) across studies of 2.5 (95% confidence interval [CI]: 1.9–3.2).4 Low body mass index (BMI < 18 kg/m2) has also been associated with early mortality.6–13 Unfortunately, only 45% of HIV-infected people know their status, which contributes to the still significant proportion (30%) with a CD4 count < 100 cells/μL at presentation despite raising the CD4 threshold for initiating treatment particularly in men.14,15
Tuberculosis (TB) is a common cause of ART-associated death16–18 among HIV-infected people in SSA, particularly in east and southern Africa.19 In populations with a high prevalence of HIV, there is a high burden of undiagnosed TB.12,20 ART is the most effective way to prevent TB in adults with HIV.21 However, TB unmasking often occurs in patients starting ART, suggesting that early reactivation or subclinical disease exists at the time of ART initiation.22,23 In highly immunosuppressed patients, TB may be disseminated, smear-negative, and therefore difficult to diagnose with traditional clinical screening, including (sputum) smears.24 In this trial in SSA, the primary objective was to assess the effect of presumptive anti-TB treatment on severely immunosuppressed, underweight, HIV-infected patients starting ART on 6-month mortality and to evaluate anti-TB medication-related toxicity. We hypothesized that initiation of presumptive anti-TB chemotherapy with ART would reduce mortality within the first 6 months.
Methods
Study design and participants.
This was a multicenter, open-label, 1:1 randomized, controlled trial that took place in Gabon, Mozambique, and Uganda. One group was assigned to start efavirenz (EFV)–based ART (within 2 weeks from randomization), and the other group was assigned to TB treatment at randomization, followed by ART initiation within 2 weeks. Recruitment began in October 2011 with HIV-positive men and women, 18 years of age and above, who had CD4 < 50 cells/μL and BMI < 18 kg/m2. Because of very slow recruitment accrual, the CD4 threshold was changed to < 75 cells/μL, and the BMI threshold increased to < 19 kg/m2 in April 2012.
The participants were recruited from inpatient and outpatient settings and prescreened by assessing age and BMI. Participants underwent formal screening with chest X-ray imaging, sputum microscopy for acid fast bacilli, and mycobacterial cultures. Participants were excluded if they were < 18 years of age, BMI ≥ 19 kg/m2, had smear-positive pulmonary TB, fulfilled the diagnostic criteria for smear-negative pulmonary or extrapulmonary TB per the 2007 World Health Organization (WHO) recommendations,24 had a history of previous TB treatment of more than 1 month, or a history of using antiretroviral drugs. In addition, participants were excluded who had symptomatic known or suspected underlying liver disease with transaminases > 5 times the upper limit of normal, known or suspected drug resistance to more than one first-line TB drug, cryptococcal meningitis or other severe opportunistic disease, danger signs (respiratory rate > 30 per minute, heart rate > 120 beats per minute, temperature > 39°C, or unable to ambulate), as well as those who were pregnant or breastfeeding, taking other medications incompatible with anti-TB chemotherapy or ART, unable to swallow TB medications, or unable to follow-up for regularly scheduled visits.
Eligible participants were screened with a cryptococcal antigen (CrAg) and if positive, screened for neurologic signs (e.g., headache, neck pain, behavior change, change in mental status, cranial nerve palsy) which, if present, led to exclusion and referral for further treatment of cryptococcal disease. If asymptomatic CrAg positive, then the participant was treated with fluconazole 800 mg daily for 4 weeks after which the participant was randomized. All others were randomized to either initiation of four-drug anti-TB treatment with ART (EFV-based) starting within 2 weeks of randomization, or ART (EFV-based) only (plus pyridoxine 50 mg) given within 2 weeks after randomization. Generic, fixed-dose, EFV-based ART combinations (stavudine [d4T] or zidovudine [AZT]/lamivudine [3TC]/EFV) were administered according to country-specific national guidelines. Anti-TB treatment was the internationally accepted regimen of isoniazid (INH) 5 mg/kg, rifampin (RIF) 10 mg/kg, pyrazinamide 10 mg/kg, and ethambutol 15 mg/kg with pyridoxine 50 mg orally for 8 weeks (intensive phase) followed by INH and RIF (plus pyridoxine 50 mg) for an additional 16 weeks (continuation phase) in fixed-dose combinations whenever possible based on weight. Community or family-based directly observed therapy (CB-DOTS) was taught, encouraged, and enforced where feasible. Self-reported adherence was assessed. Follow-up visits were scheduled every 2 weeks for the first 8 weeks and then monthly thereafter, with targeted medical history, physical examination with particular questions to assess drug toxicity, and visual assessment (using Snellen and Ishihara charts). Women were also assessed for pregnancy. Participants suspected to have TB during follow-up provided sputum for smear and mycobacterial culture, and underwent a repeat chest X-ray. Patients in the ART-only group were switched to ART + TB treatment upon receiving positive pretreatment or in-treatment Mycobacterium tuberculosis culture results.
The study took place in Uganda at Mulago National Tertiary Referral Hospital and the Infectious Diseases Institute at Makerere University in Kampala, in Mozambique at Beira Central Hospital, and Ponta Gêa Health Center, Beira, and in Gabon, at the inpatient and outpatient clinics of the Albert Schweitzer Hospital and the General Hospital in Lambaréné. Written informed consent was obtained from each participant or his or her surrogate. The institutional review board at each participating site approved the study. The study was registered at clinicaltrials.gov (#NCT01417988).
Sample size determination.
The effective sample size was 167 patients per group based on a baseline mortality (HIV-infected patient with CD4 cell count < 50 cells/μL and BMI < 18 kg/m2) of 30%, an effect size of 2, 20% loss-to-follow-up and pretreatment cultures becoming positive for M. tuberculosis, α = 0.05, and β = 0.2. The planned analysis included three interim analyses using an alpha-sparing approach to maintain an overall α = 0.05 at the final analysis.
Randomization.
Randomization sequences were generated by block randomization stratified by country at the data analysis center in Amsterdam, the Netherlands. Block sizes varied randomly between four and eight. A single treatment allocation was provided to the site by fax, each time an eligible patient was identified. The patient, the treating physician, and the data analyst were aware of the allocated treatment group.
Statistical analysis.
The primary outcome was all-cause mortality after 24 weeks of treatment with ART (26 weeks after randomization), assessed by Kaplan–Meier survival analysis with an intention-to-treat approach (all patients randomized). The survival curves of the two treatment groups were compared using a log-rank test. The magnitude of the effect of treatment group was assessed in a Cox Proportional Hazard analysis without additional covariates, given the small number of enrolled patients and outcome events (deaths). The proportional hazard assumption was assessed by plotting the Schoenfeld residuals, and assessing the presence of a non-zero slope.
Secondary endpoints included safety and tolerability of treatment regimens (e.g., frequency of grade 3 or 4 adverse events, frequency of serious adverse events) per Division of AIDS criteria.
Results
Screening and enrollment.
Participants were recruited from October 2011 and enrollment was stopped by the sponsor in December 2012 due to poor study recruitment with study activities ending in June 2013, after all enrolled participants had been followed for 26 weeks. The study prescreened 163 patients, of whom 39 were excluded for age or BMI criteria that were assessed at the routine clinic visit. Of the remaining 124 screened participants, 53 fulfilled a single exclusion criteria and 27 fulfilled at least two criteria (see Figure 1 ). These included diagnosis with smear-positive TB in 6.5% (8/124) and smear-negative TB in 30.6% (38/124) (Figure 1). In total, 44 participants were eligible for and consented to randomization (26 Uganda, 13 Gabon, and five Mozambique). One patient from Uganda withdrew consent at the randomization visit (and was subsequently not randomized), leaving 43 patients enrolled and randomized (Figure 1). Twenty-three patients were randomized to the ART + TB treatment group while 20 were randomized to the ART-only group. Despite using a block-randomization procedure, the groups were not of equal size. This was due to a fault in the automated message communicating the randomization result to the sites (randomization itself working without problems), resulting in the initial eight patients all receiving a message to be allocated to the ART + TB treatment group. Although corrected quickly, full restoration of the 1:1 randomization sequence could only have happened at the end of the randomization process of all intended patients. Table 1 shows the baseline characteristics of the enrolled patients. There were no significant differences between the two arms. Overall, 43 participants were recruited with a median CD4 of 22 (interquartile range [IQR]: 9–35) cells/μL and the median BMI of 17.5 (IQR: 16.6–18.0) kg/m2. Thirty participants were enrolled under the revised inclusion criteria (CD4 < 75 cells/μL or BMI < 19 kg/m2).
Figure 1.
Patient flow diagram.
Table 1.
Baseline characteristics of the study participants
Total (N = 43) | ART only (N = 20) | ART + TB treatment (N = 23) | |
---|---|---|---|
Sex, n (%) | |||
Male | 18 (41.9) | 8 (40) | 10 (43.5) |
Female | 25 (58.1) | 12 (60) | 13 (56.5) |
Age, median (IQR) | 32.0 (29.0–39.0) | 34.0 (29.0–40.5) | 32.0 (30.0–37.0) |
BMI (kg/m2), median (IQR) | 17.5 (16.6–18.0) | 18.0 (17.1–18.6) | 16.7 (15.9–17.8) |
WHO staging, n (%) | |||
1 | 1 (2.3) | 0 | 1 (4.3) |
2 | 13 (30.2) | 8 (40) | 5 (21.7) |
3 | 19 (44.1) | 8 (40) | 11 (47.8) |
4 | 10 (23.3) | 4 (20) | 6 (26.1) |
CD4+ (cells/mm3), median (IQR) | 22 (9–35) | 20 (8–33) | 23 (13–35) |
Hemoglobin (g/dL), median (IQR) | 9.9 (8.5–11.5) | 10.7 (8.4–12.1) | 9.7 (8.6–10.4) |
ART = antiretroviral therapy; BMI = body mass index; IQR = interquartile range; TB = tuberculosis; WHO = World Health Organization.
All-cause mortality.
Overall, 14% (6/43) (95% CI: 5.3–27.9) of the participants died; 2/20 (10.0%) in ART-only group, and 4/23 (17.4%) in ART + TB group. The Kaplan–Meier survival curve is shown in Figure 2 . The associated HR for all-cause mortality, comparing the ART + TB treatment group with the ART-only group, was 1.6 (95% CI: 0.30–8.90).
Figure 2.
Survival analysis. Kaplan–Meier survival curves of the two treatment groups were compared by a log-rank test. ART-only group shown as a solid line and ART + TB group in the dashed line. ART = antiretroviral therapy; TB = tuberculosis.
Adverse events.
Among the 43 enrolled patients, 329 adverse events were reported. Most of these events were liver enzyme elevations (N = 42); of these, the majority were grade 1 (36/42, 85.7%) or grade 2 (4/42, 9.5%). Other frequently reported events were gastrointestinal complaints (N = 28), anemia (N = 19), leukopenia (N = 13), and neuropathy (N = 16). Ten patients reported a total of 18 serious adverse events, including death in six patients. The event descriptions for the six deaths are reported in Table 2. Two of the patients in the ART + TB treatment group died with postmortem confirmed evidence of drug-induced hepatotoxicity. In addition, one patient who was on active anti-TB treatment in the same group had postmortem evidence of disseminated TB at the time of death.
Table 2.
Causes of mortality
Group | Cause of death narrative |
---|---|
ART only | 28 year-old woman (CD4 = 31 cells/mm3, BMI = 17 kg/m2) was enrolled after recent discharge from the hospital where she was noted to be febrile 39°C and was treated empirically with erythromycin and metronidazole. Eight days after enrollment, she returned with generalized hypertonia with only elevated cerebrospinal fluid protein (60 mg/dL) and serum hyponatremia (119 mmol/L) and was diagnosed with presumed viral meningoencephalitis with SIADH. Two days later, she showed improvement in her hyponatremia and clinical condition, and she was started on ART. She then died 2 days later |
ART only | 45 year-old woman (BMI 18.7 kg/m2) presented with diarrhea 14 days after enrollment and started on ART for which she was given loperamide. Liver function tests were normal with a CBC notable for hemoglobin 9.3 g/dL. Patient then missed her 2-month follow-up and was tracked at home and found to be exhausted and bed bound. She had discontinued her ART 4 weeks after initiation. Another home visit 3 weeks later showed a dehydrated lethargic patient with watery diarrhea and anorexia. Patient refused to be hospitalized and died at home |
ART + TB | 38 year-old woman admitted to hospital 2 months after enrollment and presented with severe anemia (hemoglobin 5.8 g/dL), thrombocytopenia (28,000 cells/mm3), and leukopenia (700 cell/mm3) in the setting of several weeks of asthenia. Despite broad spectrum antibiotics in addition to her ART and anti-TB regimen, she died on hospital day 2. Post-mortem examination showed pulmonary and disseminated tuberculosis. |
ART + TB | 22 year-old woman (CD4 = 23 cell/μL, BMI = 14.7 kg/m2) with initially low WBCs (2,000 cell/mm3), hemoglobin (7.8 g/dL) presented to a scheduled study visit 14 days after initiation of anti-TB drugs with diarrhea, anorexia and vomiting, fever 37.7°C, jaundice and tender hepatomegaly (AST = 111 U/L, ALT = 127 U/L, total bilirubin = 6.6 mg/dL), and pancytopenia. Two days after discontinuation of drugs and hydration, she improved clinically. She was found dead on hospital day 3. Drug-induced hepatotoxicity confirmed by postmortem examination with a 2,200-g deep yellow liver and bone marrow evidence of pancytopenia |
ART + TB | 32 year-old woman (CD4 = 14 cells/mm3, BMI = 16.4 kg/m2) with hypoalbuminemia, and leukopenia (1,500 cells/mm3) admitted to the hospital 24 days after enrollment and initiation of anti-TB meds with diarrhea and drug-induced hepatotoxicity (AST = 131 U/L, ALT = 124 U/L, bilirubin = 7.2 mg/dL). Despite discontinuation of her anti-TB medications, broad-spectrum antibiotics and intravenous fluids and improvement in her transaminases, the patient died of pancytopenia, acute renal injury (creatinine = 4.9 mg/dL), electrolyte derangement including severe hypokalemia (1.5 mmol/L), and progressive neurologic decline 30 days after admission. Postmortem examination was notable for jaundiced liver of 1,440 g, edematous colon, and consolidation of the lungs |
ART + TB | 32 year-old woman enrolled in the study and developed diarrhea 1 week after anti-TB meds initiated. ART initiated at week 5. Eight weeks after enrollment, she developed worsening diarrhea and leukopenia (WBC = 2.7 × 103 cells/mm3 decreasing to 1.12 × 103 cells/mm3 1 week later) for which she was hospitalized, and then cough. Ultimately, she died despite intravenous fluids and antibiotics |
ALT = alanine transaminase; ART = antiretroviral therapy; AST = aspartate transaminase; BMI = body mass index; CBC = complete blood count; SIADH = syndrome of inappropriate antidiuretic hormone secretion; TB = tuberculosis; WBC = white blood cell.
Discussion
This trial did not reach the required sample size to answer the question of whether presumptive TB treatment of HIV-infected patients with low CD count and low BMI prevents early mortality while on ART. The results showed a HR in the opposite direction than expected. Given the consecutive enrollment of patients at multiple sites, it is unlikely that this HR is a severely biased estimate. This is the third study that has examined the effect of empiric TB treatment in severely immunosuppressed HIV-infected patients. In the REMEMBER (Reducing Early Mortality and Early Morbidity by Empiric Tuberculosis Treatment Regimens) open-label trial, HIV-infected outpatients with a CD4 < 50 cells/μL were individually randomized to receive either ART and preemptive TB therapy (“empiric”) or ART and INH prophylactic treatment (“IPT”).25 Empiric TB therapy did not reduce mortality at 24 weeks compared with IPT, with no difference in adverse events across arms. In the TB Fast Track cluster randomized trial,26 outpatients with CD4 ≤ 150 cells/μL were triaged according to an algorithm that included urine lipoarabinomannan screening, clinical symptoms, hemoglobin (< 10 g/dL), and BMI (≤ 18.5 kg/m2) and, if any of the three criteria were positive, were considered at high risk for TB and empirically treated. This study also found no difference in 6-month all-cause mortality rates (intervention versus control, 19 versus 21.5 per 100 person-years) with and adjusted rate ratio of 0.87 (95% CI: 0.61–1.24). Our participants were the most ill, with all having at least one poor prognostic factor as defined in the REMEMBER trial, which had only 33% in that stratification category.
Several factors contributed to poor participant recruitment in our study. First, clinician attitudes in urban settings and thresholds for empiric TB treatment initiation in patients with low CD4 changed during the course of our clinical trial.27 These treatment decisions were likely driven by data from SSA showing TB as a key cause of mortality after ART initiation2,4,28 and high rates of prevalent TB in patients initiating ART in a high-burden setting. In this study, 6.5% of the screened patients had smear-positive TB before ART, slightly lower than previously reported rates of prevalent TB in HIV-infected patients in SSA (15–25% in South Africa29,30 and 10–15% for other sub-Saharan African countries23,31). However, 30.6% were diagnosed with smear-negative TB, corroborating an unusually high rate of empiric TB treatment initiation. Second, WHO prequalification and endorsement of Xpert MTB/RIF during the study further increased the rate of detection of sputum smear-negative patients at the time of ART initiation.32,33 New diagnostics such as urinary lipoarabinomannan (LAM)34–36 and Xpert MTB/RIF or Ultra37 may obviate the need for empiric treatment among hospitalized patients particularly if higher sensitivity can be achieved with a combination of LAM point-of-care (POC) and Xpert rapid diagnostics. A pragmatic four-country randomized controlled trial in 2,659 hospitalized adults suspected to have TB–HIV coinfection (48% on ART with a mean CD4 of 84 (IQR: 26–208) cells/μL showed a statistically significant effect of LAM testing on the proportion of patients starting anti-TB treatment, 52% versus 47% (P =0.024) participants, and on 8 week mortality (adjusted HR: 0.81, CI: 0.69–0.95, P = 0.009).38
The rationale of our trial was based on available epidemiologic data in 2010; however, the context changed over the period of the study, especially in the shifting demographics of HIV patients in urban settings. With increasing availability of ART, countries with a more mature epidemic that received external funding for HIV prevention care and treatment in the first wave of funding had a lower proportion of ART eligible patients who fulfilled the Prevention of Early Mortality by Presumptive Tuberculosis Therapy inclusion criteria, particularly low BMI. In rural areas, patients who fulfilled these inclusion criteria existed, but rural sites are challenging for clinical trial follow-up. In a recently published observational cohort study of patients initiating ART in rural Uganda that occurred in the same period, the mean BMI was relatively low at 20.6 kg/m2.31
The proportion of patients who died (14%) was lower than previously reported for this patient population. However, the most ill patients with danger signs were eliminated through extensive screening (including cryptococcal antigen and preenrollment work up). Despite this, we reported a high risk of toxicity, particularly hepatotoxicity, in the relatively small number of participants recruited. Although the majority of these did not require intervention, two participants in the ART–TB arm died with autopsy evidence of hepatotoxicity. The risk of toxicity of presumptive TB therapy in late-stage HIV disease thus underscores the need for improved TB diagnostics in this population.
Our study was underpowered to definitively test whether empiric anti-TB treatment in severely immunosuppressed, malnourished patients can prevent early mortality. Together with the other two trials of empiric TB treatment, there is not a clear benefit to empiric TB treatment in severely immunocompromised HIV-infected patients who initiate ART and prescreening is cumbersome. Improved TB diagnostics available at POC remains an urgent priority in severely immunosuppressed HIV patients who present late to care.
ACKNOWLEDGMENTS
We would like to acknowledge the study coordinators at the sites: Prossy Nakanwagi, Davy Kombila, Arlinda Zango, and Geoffrey Madeira, as well as the study staff and the participants. We are also grateful for the support of Mahomed Riaz Mobaracaly and Jeannet Bos in Mozambique, Alex Coutinho at the Infectious Diseases Institute in Uganda, and the late Joep Lange, Director of the AIGHD, whose vision and support of research and people living with HIV was unwavering.
Footnotes
Financial support: This clinical trial was funded by European Developing Countries Trials Program (EDCTP) (grant no. IP.2009.33011.007). Funding was withdrawn when EDCTP decided against trial continuation. Additional support for Yukari C. Manabe and William Worodria was provided from the National Institutes of Health Fogarty International Center (D43TW009771).
Authors' addresses: Yukari C. Manabe, Johns Hopkins University, Medicine, Baltimore, MD, E-mail: ymanabe@jhmi.edu. William Worodria, Department of Medicine, Mulago Hospital, Kampala, Uganda, E-mail: worodria@yahoo.com. Frank van Leth, Department of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands, E-mail: f.vanleth@aighd.org. Harriet Mayanja-Kizza, Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda, E-mail: hmk@chs.mak.ac.ug. Afsatou Ndama Traore, Department of Microbiology, University of Venda, Thohoyandou, South Africa, E-mail: afsatou.traore@univen.ac.za. Josefo Ferro, Department of Medicine, Catholic University of Mozambique, Beira, Mozambique, E-mail: josefoferro@yahoo.com.br. Nadine Pakker, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands, E-mail: n.pakker@aighd.org. Matthias Frank, Institute of Tropical Medicine, University of Tübingen, Tübingen, Germany, E-mail: matthias.frank@uni-tuebingen.de. Martin P. Grobusch, Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, University of Amsterdam, Amsterdam, The Netherlands, E-mail: m.p.grobusch@amc.uva.nl. Robert Colebunders, Clinical Sciences, Prince Leopold Institute of Tropical Medicine, Antwerp, Belgium, E-mail: bcoleb@itg.be. Frank Cobelens, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands, and Department of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands, E-mail: f.cobelens@aighd.org.
References
- 1.UNAIDS The Gap Report 2014. 2014. http://www.unaids.org/en/resources/documents/2014/20140716_UNAIDS_gap_report Accessed March 30, 2015.
- 2.Gupta A, Nadkarni G, Yang WT, Chandrasekhar A, Gupte N, Bisson GP, Hosseinipour M, Gummadi N. Early mortality in adults initiating antiretroviral therapy (ART) in low- and middle-income countries (LMIC): a systematic review and meta-analysis. PLoS One. 2011;6:e28691. doi: 10.1371/journal.pone.0028691. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Braitstein P, Brinkhof MW, Dabis F, Schechter M, Boulle A, Miotti P, Wood R, Laurent C, Sprinz E, Seyler C, Bangsberg DR, Balestre E, Sterne JA, May M, Egger M. Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries. Lancet. 2006;367:817–824. doi: 10.1016/S0140-6736(06)68337-2. [DOI] [PubMed] [Google Scholar]
- 4.Lawn SD, Harries AD, Anglaret X, Myer L, Wood R. Early mortality among adults accessing antiretroviral treatment programmes in sub-Saharan Africa. AIDS. 2008;22:1897–1908. doi: 10.1097/QAD.0b013e32830007cd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Etard JF, Ndiaye I, Thierry-Mieg M, Gueye NF, Gueye PM, Laniece I, Dieng AB, Diouf A, Laurent C, Mboup S, Sow PS, Delaporte E. Mortality and causes of death in adults receiving highly active antiretroviral therapy in Senegal: a 7-year cohort study. AIDS. 2006;20:1181–1189. doi: 10.1097/01.aids.0000226959.87471.01. [DOI] [PubMed] [Google Scholar]
- 6.Russell EC, Charalambous S, Pemba L, Churchyard GJ, Grant AD, Fielding K. Low haemoglobin predicts early mortality among adults starting antiretroviral therapy in an HIV care programme in South Africa: a cohort study. BMC Public Health. 2010;10:433. doi: 10.1186/1471-2458-10-433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Stringer JS, Zulu I, Levy J, Stringer EM, Mwango A, Chi BH, Mtonga V, Reid S, Cantrell RA, Bulterys M, Saag MS, Marlink RG, Mwinga A, Ellerbrock TV, Sinkala M. Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. JAMA. 2006;296:782–793. doi: 10.1001/jama.296.7.782. [DOI] [PubMed] [Google Scholar]
- 8.Toure S, Kouadio B, Seyler C, Traore M, Dakoury-Dogbo N, Duvignac J, Diakite N, Karcher S, Grundmann C, Marlink R, Dabis F, Anglaret X. Aconda Study Group Rapid scaling-up of antiretroviral therapy in 10,000 adults in Cote d'Ivoire: 2-year outcomes and determinants. AIDS. 2008;22:873–882. doi: 10.1097/QAD.0b013e3282f768f8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ferradini L, Jeannin A, Pinoges L, Izopet J, Odhiambo D, Mankhambo L, Karungi G, Szumilin E, Balandine S, Fedida G, Carrieri MP, Spire B, Ford N, Tassie JM, Guerin PJ, Brasher C. Scaling up of highly active antiretroviral therapy in a rural district of Malawi: an effectiveness assessment. Lancet. 2006;367:1335–1342. doi: 10.1016/S0140-6736(06)68580-2. [DOI] [PubMed] [Google Scholar]
- 10.Moh R, Danel C, Messou E, Ouassa T, Gabillard D, Anzian A, Abo Y, Salamon R, Bissagnene E, Seyler C, Eholie S, Anglaret X. Incidence and determinants of mortality and morbidity following early antiretroviral therapy initiation in HIV-infected adults in west Africa. AIDS. 2007;21:2483–2491. doi: 10.1097/QAD.0b013e3282f09876. [DOI] [PubMed] [Google Scholar]
- 11.Zachariah R, Fitzgerald M, Massaquoi M, Pasulani O, Arnould L, Makombe S, Harries AD. Risk factors for high early mortality in patients on antiretroviral treatment in a rural district of Malawi. AIDS. 2006;20:2355–2360. doi: 10.1097/QAD.0b013e32801086b0. [DOI] [PubMed] [Google Scholar]
- 12.Moore D, Liechty C, Ekwaru P, Were W, Mwima G, Solberg P, Rutherford G, Mermin J. Prevalence, incidence and mortality associated with tuberculosis in HIV-infected patients initiating antiretroviral therapy in rural Uganda. AIDS. 2007;21:713–719. doi: 10.1097/QAD.0b013e328013f632. [DOI] [PubMed] [Google Scholar]
- 13.Johannessen A, Naman E, Ngowi BJ, Sandvik L, Matee MI, Aglen HE, Gundersen SG, Bruun JN. Predictors of mortality in HIV-infected patients starting antiretroviral therapy in a rural hospital in Tanzania. BMC Infect Dis. 2008;8:52. doi: 10.1186/1471-2334-8-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.IeDEA and ART Cohort Collaborations. Avila D, Althoff KN, Mugglin C, Wools-Kaloustian K, Koller M, Dabis F, Nash D, Gsponer T, Sungkanuparph S, McGowan C, May M, Cooper D, Chimbetete C, Wolff M, Collier A, McManus H, Davies MA, Costagliola D, Crabtree-Ramirez B, Chaiwarith R, Cescon A, Cornell M, Diero L, Phanuphak P, Sawadogo A, Ehmer J, Eholie SP, Li PC, Fox MP, Gandhi NR, Gonzalez E, Lee CK, Hoffmann CJ, Kambugu A, Keiser O, Ditangco R, Prozesky H, Lampe F, Kumarasamy N, Kitahata M, Lugina E, Lyamuya R, Vonthanak S, Fink V, d'Arminio Monforte A, Luz PM, Chen YM, Minga A, Casabona J, Mwango A, Choi JY, Newell ML, Bukusi EA, Ngonyani K, Merati TP, Otieno J, Bosco MB, Phiri S, Ng OT, Anastos K, Rockstroh J, Santos I, Oka S, Somi G, Stephan C, Teira R, Wabwire D, Wandeler G, Boulle A, Reiss P, Wood R, Chi BH, Williams C, Sterne JA, Egger M. Immunodeficiency at the start of combination antiretroviral therapy in low-, middle-, and high-income countries. J Acquir Immune Defic Syndr. 2014;65:e8–e16. doi: 10.1097/QAI.0b013e3182a39979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lahuerta M, Wu Y, Hoffman S, Elul B, Kulkarni SG, Remien RH, Nuwagaba-Biribonwoha H, El-Sadr W, Nash D. Multi-Level determinants of Late ART Initiation in Sub-Saharan Africa Team and Identifying Optimal Models of HIV Care in Sub-Saharan Africa Collaboration Advanced HIV disease at entry into HIV care and initiation of antiretroviral therapy during 2006–2011: findings from four sub-Saharan African countries. Clin Infect Dis. 2014;58:432–441. doi: 10.1093/cid/cit724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lawn SD, Harries AD, Meintjes G, Getahun H, Havlir DV, Wood R. Reducing deaths from tuberculosis in antiretroviral treatment programmes in sub-Saharan Africa. AIDS. 2012;26:2121–2133. doi: 10.1097/QAD.0b013e3283565dd1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wong EB, Omar T, Setlhako GJ, Osih R, Feldman C, Murdoch DM, Martinson NA, Bangsberg DR, Venter WD. Causes of death on antiretroviral therapy: a post-mortem study from South Africa. PLoS One. 2012;7:e47542. doi: 10.1371/journal.pone.0047542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cox JA, Lukande RL, Nelson AM, Mayanja-Kizza H, Colebunders R, Van Marck E, Manabe YC. An autopsy study describing causes of death and comparing clinico-pathological findings among hospitalized patients in Kampala, Uganda. PLoS One. 2012;7:e33685. doi: 10.1371/journal.pone.0033685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Murray CJ, Ortblad KF, Guinovart C, Lim SS, Wolock TM, Roberts DA, Dansereau EA, Graetz N, Barber RM, Brown JC, Wang H, Duber HC, Naghavi M, Dicker D, Dandona L, Salomon JA, Heuton KR, Foreman K, Phillips DE, Fleming TD, Flaxman AD, Phillips BK, Johnson EK, Coggeshall MS, Abd-Allah F, Abera SF, Abraham JP, Abubakar I, Abu-Raddad LJ, Abu-Rmeileh NM, Achoki T, Adeyemo AO, Adou AK, Adsuar JC, Agardh EE, Akena D, Al Kahbouri MJ, Alasfoor D, Albittar MI, Alcala-Cerra G, Alegretti MA, Alemu ZA, Alfonso-Cristancho R, Alhabib S, Ali R, Alla F, Allen PJ, Alsharif U, Alvarez E, Alvis-Guzman N, Amankwaa AA, Amare AT, Amini H, Ammar W, Anderson BO, Antonio CA, Anwari P, Arnlov J, Arsenijevic VS, Artaman A, Asghar RJ, Assadi R, Atkins LS, Badawi A, Balakrishnan K, Banerjee A, Basu S, Beardsley J, Bekele T, Bell ML, Bernabe E, Beyene TJ, Bhala N, Bhalla A, Bhutta ZA, Abdulhak AB, Binagwaho A, Blore JD, Basara BB, Bose D, Brainin M, Breitborde N, Castaneda-Orjuela CA, Catala-Lopez F, Chadha VK, Chang JC, Chiang PP, Chuang TW, Colomar M, Cooper LT, Cooper C, Courville KJ, Cowie BC, Criqui MH, Dandona R, Dayama A, De Leo D, Degenhardt L, Del Pozo-Cruz B, Deribe K, Des Jarlais DC, Dessalegn M, Dharmaratne SD, Dilmen U, Ding EL, Driscoll TR, Durrani AM, Ellenbogen RG, Ermakov SP, Esteghamati A, Faraon EJ, Farzadfar F, Fereshtehnejad SM, Fijabi DO, Forouzanfar MH, Fra Paleo U, Gaffikin L, Gamkrelidze A, Gankpé FG, Geleijnse JM, Gessner BD, Gibney KB, Ginawi IA, Glaser EL, Gona P, Goto A, Gouda HN, Gugnani HC, Gupta R, Gupta R, Hafezi-Nejad N, Hamadeh RR, Hammami M, Hankey GJ, Harb HL, Haro JM, Havmoeller R, Hay SI, Hedayati MT, Pi IB, Hoek HW, Hornberger JC, Hosgood HD, Hotez PJ, Hoy DG, Huang JJ, Iburg KM, Idrisov BT, Innos K, Jacobsen KH, Jeemon P, Jensen PN, Jha V, Jiang G, Jonas JB, Juel K, Kan H, Kankindi I, Karam NE, Karch A, Karema CK, Kaul A, Kawakami N, Kazi DS, Kemp AH, Kengne AP, Keren A, Kereselidze M, Khader YS, Khalifa SE, Khan EA, Khang YH, Khonelidze I, Kinfu Y, Kinge JM, Knibbs L, Kokubo Y, Kosen S, Defo BK, Kulkarni VS, Kulkarni C, Kumar K, Kumar RB, Kumar GA, Kwan GF, Lai T, Balaji AL, Lam H, Lan Q, Lansingh VC, Larson HJ, Larsson A, Lee JT, Leigh J, Leinsalu M, Leung R, Li Y, Li Y, De Lima GM, Lin HH, Lipshultz SE, Liu S, Liu Y, Lloyd BK, Lotufo PA, Machado VM, Maclachlan JH, Magis-Rodriguez C, Majdan M, Mapoma CC, Marcenes W, Marzan MB, Masci JR, Mashal MT, Mason-Jones AJ, Mayosi BM, Mazorodze TT, Mckay AC, Meaney PA, Mehndiratta MM, Mejia-Rodriguez F, Melaku YA, Memish ZA, Mendoza W, Miller TR, Mills EJ, Mohammad KA, Mokdad AH, Mola GL, Monasta L, Montico M, Moore AR, Mori R, Moturi WN, Mukaigawara M, Murthy KS, Naheed A, Naidoo KS, Naldi L, Nangia V, Narayan KM, Nash D, Nejjari C, Nelson RG, Neupane SP, Newton CR, Ng M, Nisar MI, Nolte S, Norheim OF, Nowaseb V, Nyakarahuka L, Oh IH, Ohkubo T, Olusanya BO, Omer SB, Opio JN, Orisakwe OE, Pandian JD, Papachristou C, Caicedo AJ, Patten SB, Paul VK, Pavlin BI, Pearce N, Pereira DM, Pervaiz A, Pesudovs K, Petzold M, Pourmalek F, Qato D, Quezada AD, Quistberg DA, Rafay A, Rahimi K, Rahimi-Movaghar V, Ur Rahman S, Raju M, Rana SM, Razavi H, Reilly RQ, Remuzzi G, Richardus JH, Ronfani L, Roy N, Sabin N, Saeedi MY, Sahraian MA, Samonte GM, Sawhney M, Schneider IJ, Schwebel DC, Seedat S, Sepanlou SG, Servan-Mori EE, Sheikhbahaei S, Shibuya K, Shin HH, Shiue I, Shivakoti R, Sigfusdottir ID, Silberberg DH, Silva AP, Simard EP, Singh JA, Skirbekk V, Sliwa K, Soneji S, Soshnikov SS, Sreeramareddy CT, Stathopoulou VK, Stroumpoulis K, Swaminathan S, Sykes BL, Tabb KM, Talongwa RT, Tenkorang EY, Terkawi AS, Thomson AJ, Thorne-Lyman AL, Towbin JA, Traebert J, Tran BX, Dimbuene ZT, Tsilimbaris M, Uchendu US, Ukwaja KN, Uzun SB, Vallely AJ, Vasankari TJ, Venketasubramanian N, Violante FS, Vlassov VV, Vollset SE, Waller S, Wallin MT, Wang L, Wang X, Wang Y, Weichenthal S, Weiderpass E, Weintraub RG, Westerman R, White RA, Wilkinson JD, Williams TN, Woldeyohannes SM, Wong JQ, Xu G, Yang YC, Yano Y, Yentur GK, Yip P, Yonemoto N, Yoon SJ, Younis M, Yu C, Jin KY, El Sayed Zaki M, Zhao Y, Zheng Y, Zhou M, Zhu J, Zou XN, Lopez AD, Vos T. Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:1005–1070. doi: 10.1016/S0140-6736(14)60844-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lawn SD, Myer L, Bekker LG, Wood R. Burden of tuberculosis in an antiretroviral treatment programme in sub-Saharan Africa: impact on treatment outcomes and implications for tuberculosis control. AIDS. 2006;20:1605–1612. doi: 10.1097/01.aids.0000238406.93249.cd. [DOI] [PubMed] [Google Scholar]
- 21.Suthar AB, Lawn SD, del Amo J, Getahun H, Dye C, Sculier D, Sterling TR, Chaisson RE, Williams BG, Harries AD, Granich RM. Antiretroviral therapy for prevention of tuberculosis in adults with HIV: a systematic review and meta-analysis. PLoS Med. 2012;9:e1001270. doi: 10.1371/journal.pmed.1001270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Manabe YC, Breen RA, Perti T, Girardi E, Sterling TR. Unmasked tuberculosis and tuberculosis immune reconstitution inflammatory disease: a disease spectrum after highly active antiretroviral therapy initiation. J Infect Dis. 2008;199:437–444. doi: 10.1086/595985. [DOI] [PubMed] [Google Scholar]
- 23.Mtei L, Matee M, Herfort O, Bakari M, Horsburgh CR, Waddell R, Cole BF, Vuola JM, Tvaroha S, Kreiswirth B, Pallangyo K, von Reyn CF. High rates of clinical and subclinical tuberculosis among HIV-infected ambulatory subjects in Tanzania. Clin Infect Dis. 2005;40:1500–1507. doi: 10.1086/429825. [DOI] [PubMed] [Google Scholar]
- 24.WHO Improving the Diagnosis and Treatment of Smear-Negative Pulmonary and Extrapulmonary Tuberculosis among Adults and Adolescents. 2007. http://www.who.int/tb/publications/2006/tbhiv_recommendations.pdf Available at. Accessed June 24, 2015.
- 25.Hosseinipour MC, Bisson GP, Miyahara S, Sun X, Moses A, Riviere C, Kirui FK, Badal-Faesen S, Lagat D, Nyirenda M, Naidoo K, Hakim J, Mugyenyi P, Henostroza G, Leger PD, Lama JR, Mohapi L, Alave J, Mave V, Veloso VG, Pillay S, Kumarasamy N, Bao J, Hogg E, Jones L, Zolopa A, Kumwenda J, Gupta A. Empirical tuberculosis therapy versus isoniazid in adult outpatients with advanced HIV initiating antiretroviral therapy (REMEMBER): a multicountry open-label randomised controlled trial. Lancet. 2016;387:1198–1209. doi: 10.1016/S0140-6736(16)00546-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Grant A, Charalambous S, Tlali M, Johnson S, Dorman S, Hoffmann C, Karat A, Vassall A, Churchyard G, Fielding KL. Empirical TB Treatment in Advanced HIV Disease: Results of the TB Fast Track Trial. Boston, MA: CROI; 2016. [Google Scholar]
- 27.Katagira W, Walter ND, den Boon S, Kalema N, Ayakaka I, Vittinghoff E, Worodria W, Cattamanchi A, Huang L, Davis JL. Empiric TB treatment of severely ill patients with HIV and presumed pulmonary TB improves survival. J Acquir Immune Defic Syndr. 2016;72:297–303. doi: 10.1097/QAI.0000000000000970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Castelnuovo B, Manabe YC, Kiragga A, Kamya M, Easterbrook P, Kambugu A. Cause-specific mortality and the contribution of immune reconstitution inflammatory syndrome in the first 3 years after antiretroviral therapy initiation in an urban African cohort. Clin Infect Dis. 2009;49:965–972. doi: 10.1086/605500. [DOI] [PubMed] [Google Scholar]
- 29.Lawn SD, Kerkhoff AD, Pahlana P, Vogt M, Wood R. Diagnostic yield of tuberculosis using sputum induction in HIV-positive patients before antiretroviral therapy. Int J Tuberc Lung Dis. 2012;16:1354–1357. doi: 10.5588/ijtld.12.0174. [DOI] [PubMed] [Google Scholar]
- 30.Bassett I, Chetty S, Wang B, Giddy J, Losina E, Mazibuko M, Allen J, Walensky RP, Freedberg KA. Intensive TB Screening for HIV-Infected Patients Ready to Start ART in Durban, South Africa: Limitations of WHO Guidelines. Toronto, Canada: CROI; 2009. [Google Scholar]
- 31.Pac L, Horwitz MM, Namutebi AM, Auerbach BJ, Semeere A, Namulema T, Schwarz M, Bbosa R, Muruta A, Meya DB, Manabe YC. Implementation and operational research: integrated pre-antiretroviral therapy screening and treatment for tuberculosis and cryptococcal antigenemia. J Acquir Immune Defic Syndr. 2015;68:e69–e76. doi: 10.1097/QAI.0000000000000527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.WHO Rapid Implementation of the Xpert MTB/RIF Diagnostic Test: Technical and Operational ‘How-to’ Practical considerations. 2011. http://whqlibdoc.who.int/publications/2011/9789241501569_eng.pdf?ua=1 Available at. Accessed February 5, 2015.
- 33.Boehme CC, Nicol MP, Nabeta P, Michael JS, Gotuzzo E, Tahirli R, Gler MT, Blakemore R, Worodria W, Gray C, Huang L, Caceres T, Mehdiyev R, Raymond L, Whitelaw A, Sagadevan K, Alexander H, Albert H, Cobelens F, Cox H, Alland D, Perkins MD. Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study. Lancet. 2011;377:1495–1505. doi: 10.1016/S0140-6736(11)60438-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lawn SD, Kerkhoff AD, Vogt M, Wood R. Clinical significance of lipoarabinomannan detection in urine using a low-cost point-of-care diagnostic assay for HIV-associated tuberculosis. AIDS. 2012;26:1635–1643. doi: 10.1097/QAD.0b013e3283553685. [DOI] [PubMed] [Google Scholar]
- 35.Peter JG, Theron G, van Zyl-Smit R, Haripersad A, Mottay L, Kraus S, Binder A, Meldau R, Hardy A, Dheda K. Diagnostic accuracy of a urine lipoarabinomannan strip-test for TB detection in HIV-infected hospitalised patients. Eur Respir J. 2012;40:1211–1220. doi: 10.1183/09031936.00201711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Nakiyingi L, Moodley VM, Manabe YC, Nicol MP, Holshouser M, Armstrong DT, Zemanay W, Sikhondze W, Mbabazi O, Nonyane BA, Shah M, Joloba ML, Alland D, Ellner JJ, Dorman SE. Diagnostic accuracy of a rapid urine lipoarabinomannan test for tuberculosis in HIV-infected adults. J Acquir Immune Defic Syndr. 2014;66:270–279. doi: 10.1097/QAI.0000000000000151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Alland D, Rowneki M, Smith L, Ryan JL, Chancellor M, Simmons AM, Persing D, Kwiatkowski R, Jones M, Chakravorty S. Xpert MTB/RIF Ultra: A New Near-Patients TB Test with Sensitivity Equal to Culture. Conference on Retroviruses and Opportunistic Infections. Oral Abstract 91; Seattle, WA: IAS–USA/CROI Foundation. 2015. [Google Scholar]
- 38.Peter JG, Zijenah LS, Chanda D, Lesosky M, Gina P, Mehta N, Calligaro G, Lombard CJ, Kadzirange G, Bandason T, Chansa A, Liusha N, Mangu C, Mtafya B, Msila H, Rachow A, Hoelscher M, Mwaba P, Theron G, Dheda K. Effect on mortality of point-of-care, urine-based lipoarabinomannan testing to guide tuberculosis treatment initiation in HIV-positive hospital inpatients: A pragmatic, parallel-group, multicountry, open-label, randomised controlled trial. Lancet. 2016;387:1187–1197. doi: 10.1016/S0140-6736(15)01092-2. [DOI] [PubMed] [Google Scholar]