Browsing by Author "Nsubuga, Fred"
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- ItemFactors Associated with Virological Non suppression among HIV-Positive Patients on Antiretroviral Therapy in Uganda(BMC Infectious Diseases, 2017) Bulage, Lilian; Ssewanyana, Isaac; Nankabirwa, Victoria; Nsubuga, Fred; Kihembo, Christine; Pande, Gerald; Ario, Alex R.; Matovu, Joseph K. B.; Wanyenze, Rhoda K.; Kiyaga, CharlesBackground: Despite the growing number of people on antiretroviral therapy (ART), there is limited information about virological non-suppression and its determinants among HIV-positive (HIV+) individuals enrolled in HIV care in many resource-limited settings. We estimated the proportion of virologically non-suppressed patients, and identified the factors associated with virological non-suppression. Methods: We conducted a descriptive cross-sectional study using routinely collected program data from viral load (VL) samples collected across the country for testing at the Central Public Health Laboratories (CPHL) in Uganda. Data were generated between August 2014 and July 2015. We extracted data on socio-demographic, clinical and VL testing results. We defined virological non-suppression as having ≥1000 copies of viral RNA/ml of blood for plasma or ≥5000 copies of viral RNA/ml of blood for dry blood spots. We used logistic regression to identify factors associated with virological non-suppression. Results: The study was composed of 100,678 patients; of these, 94,766(94%) were for routine monitoring, 3492(4%) were suspected treatment failures while 1436(1%) were repeat testers after suspected failure. The overall proportion of non-suppression was 11%. Patients on routine monitoring registered the lowest (10%) proportion of non-suppressed patients. Virological non-suppression was higher among suspected treatment failures (29%) and repeat testers after suspected failure (50%). Repeat testers after suspected failure were six times more likely to have Virological non-suppression (ORadj = 6.3, 95%CI = 5.5–7.2) when compared with suspected treatment failures (ORadj = 3.3, 95%CI = 3.0–3.6). The odds of virological non-suppression decreased with increasing age, with children aged 0–4 years (ORadj = 5.3, 95%CI = 4.6–6.1) and young adolescents (ORadj = 4.1, 95%CI = 3.7–4.6) registering the highest odds. Poor adherence (ORadj = 3.4, 95%CI = 2.9–3.9) and having active TB (ORadj = 1.9, 95%CI = 1.6–2.4) increased the odds of virological non-suppression. However, being on second/third line regimens (ORadj = 0.86, 95%CI = 0.78–0.95) protected patients against Virological non-suppression. Conclusion: Young age, poor adherence and having active TB increased the odds of Virological non-suppression while second/third line ART regimens were protective against non-suppression. We recommend close follow up and intensified targeted adherence support for repeat testers after suspected failure, children and adolescents.
- ItemFactors contributing to measles transmission during an outbreak in Kamwenge District, Western Uganda, April to August 2015(BMC Infectious Diseases, 2018) Nsubuga, Fred; Bulage, Lilian; Ampeire, Immaculate; Matovu, Joseph K. B.; Kasasa, Simon; Tanifum, Patricia; Riolexus, Alex Ario; Zhu, Bao-PingBackground: In April 2015, Kamwenge District, western Uganda reported a measles outbreak. We investigated the outbreak to identify potential exposures that facilitated measles transmission, assess vaccine effectiveness (VE) and vaccination coverage (VC), and recommend prevention and control measures. Methods: For this investigation, a probable case was defined as onset of fever and generalized maculopapular rash, plus ≥1 of the following symptoms: Coryza, conjunctivitis, or cough. A confirmed case was defined as a probable case plus identification of measles-specific IgM in serum. For case-finding, we reviewed patients’ medical records and conducted in-home patient examination. In a case-control study, we compared exposures of case-patients Nand controls matched by age and village of residence. For children aged 9 m-5y, we estimated VC using the percent of children among the controls who had been vaccinated against measles, and calculated VE using the formula, VE = 1 - ORM-H, where ORM-H was the Mantel-Haenszel odds ratio associated with having a measles vaccination history. Results: We identified 213 probable cases with onset between April and August, 2015. Of 23 blood specimens collected, 78% were positive for measles-specific IgM. Measles attack rate was highest in the youngest age-group, 0-5y (13/10,000), and decreased as age increased. The epidemic curve indicated sustained propagation in the community. Of the 50 case-patients and 200 controls, 42% of case-patients and 12% of controls visited health centers during their likely exposure period (ORM-H = 6.1; 95% CI = 2.7–14). Among children aged 9 m-5y, VE was estimated at 70% (95% CI: 24–88%), and VC at 75% (95% CI: 67–83%). Excessive crowding was observed at all health centers; no patient triage-system existed. Conclusions: The spread of measles during this outbreak was facilitated by patient mixing at crowded health centers, suboptimal VE and inadequate VC. We recommended emergency immunization campaign targeting children <5y in the affected sub-counties, as well as triaging and isolation of febrile or rash patients visiting health centers.
- ItemA large and persistent outbreak of typhoid fever caused by consuming contaminated water and street-vended beverages: Kampala, Uganda, January – June 2015(BMC Public Health, 2017) Kabwama, Steven Ndugwa; Bulage, Lilian; Nsubuga, Fred; Pande, Gerald; Oguttu, David Were; Mafigiri, Richardson; Kihembo, Christine; Kwesiga, Benon; Masiira, Ben; Okullo, Allen Eva; Kajumbula, Henry; Matovu, Joseph K. B.; Makumbi, Issa; Wetaka, Milton; Kasozi, Sam; Kyazze, Simon; Dahlke, Melissa; Hughes, Peter; Sendagala, Juliet Nsimire; Musenero, Monica; Nabukenya, Immaculate; Hill, Vincent R.; Mintz, Eric; Routh, Janell; Gómez, Gerardo; Bicknese, Amelia; Zhu, Bao-PingBackground: On 6 February 2015, Kampala city authorities alerted the Ugandan Ministry of Health of a “strange disease” that killed one person and sickened dozens. We conducted an epidemiologic investigation to identify the nature of the disease, mode of transmission, and risk factors to inform timely and effective control measures. Methods: We defined a suspected case as onset of fever (≥37.5 °C) for more than 3 days with abdominal pain, headache, negative malaria test or failed anti-malaria treatment, and at least 2 of the following: diarrhea, nausea or vomiting, constipation, fatigue. A probable case was defined as a suspected case with a positive TUBEX® TF test. A confirmed case had blood culture yielding Salmonella Typhi. We conducted a case-control study to compare exposures of 33 suspected case-patients and 78 controls, and tested water and juice samples. Results: From 17 February–12 June, we identified 10,230 suspected, 1038 probable, and 51 confirmed cases. Approximately 22.58% (7/31) of case-patients and 2.56% (2/78) of controls drank water sold in small plastic bags (ORM-H = 8.90; 95%CI = 1.60–49.00); 54.54% (18/33) of case-patients and 19.23% (15/78) of controls consumed locally made drinks (ORM-H = 4.60; 95%CI: 1.90–11.00). All isolates were susceptible to ciprofloxacin and ceftriaxone. Water and juice samples exhibited evidence of fecal contamination. Conclusion: Contaminated water and street-vended beverages were likely vehicles of this outbreak. At our recommendation authorities closed unsafe water sources and supplied safe water to affected areas.