OBJECTIVES: Our objectives were to assess trends in late presentation and advanced HIV disease (AHD) and determine associated risk factors. METHODS: We conducted a retrospective cohort analysis of patients who had received care and treatment at the AIDS Prevention Initiative Nigeria Plus (APIN)/Harvard School of Public Health-President's Emergency Plan for AIDS Relief (PEPFAR) programme at the Jos University Teaching Hospital, Jos, Nigeria from 2005 to 2010. We used the European Consensus Definition to assess trends in late presentation (CD4 count < 350 cells/μL or AIDS-defining illness) and AHD (CD4 count < 200 cells/μL or AIDS-defining illness) and evaluated associated risk factors using logistic regression methods. RESULTS: Among 14,487 eligible patients, 12,401 (85.6%) were late presenters and 9127 (63.0%) presented with AHD. Late presentation decreased from 88.9% in 2005 to 80.1% in 2010 (P < 0.001). Similarly, AHD decreased from 67.8% in 2005 to 53.6% in 2010 (P < 0.001). In logistic regression models adjusting for sociodemographic and biological variables, male sex [adjusted odds ratio (aOR) = 1.80; 95% confidence interval (CI) 1.60-2.04], older age (aOR = 1.37; 95% CI 1.22-1.54), civil service employment (aOR = 1.48; 95% CI 1.00-2.21), referral from out-patient (aOR = 2.18; 95% CI 1.53-3.08) and in-patient (aOR = 1.55; 95% CI 1.11-2.17) services, and hepatitis B virus (aOR = 1.43; 95% CI 1.26-1.63) and hepatitis C virus (aOR = 1.18; 95% CI 1.02-1.37) coinfections were associated with late presentation. Predictors of AHD were male sex (aOR = 1.67; 95% CI 1.54-1.82), older age (aOR = 1.26; 95% CI 1.16-1.36), unemployment (aOR = 1.34; 95% CI 1.00-1.79), referral from out-patient (aOR = 2.40; 95% CI 1.84-3.14) and in-patient (aOR = 1.97; 95% CI 1.51-2.57) services and hepatitis B virus coinfection (aOR = 1.30; 95% CI 1.19-1.42). CONCLUSIONS: Efforts to reduce the proportion of patients who first seek care at late stages of disease are needed. The identified risk factors should be utilized in formulating targeted public health interventions to improve early diagnosis and presentation for HIV care.
OBJECTIVES: Our objectives were to assess trends in late presentation and advanced HIV disease (AHD) and determine associated risk factors. METHODS: We conducted a retrospective cohort analysis of patients who had received care and treatment at the AIDS Prevention Initiative Nigeria Plus (APIN)/Harvard School of Public Health-President's Emergency Plan for AIDS Relief (PEPFAR) programme at the Jos University Teaching Hospital, Jos, Nigeria from 2005 to 2010. We used the European Consensus Definition to assess trends in late presentation (CD4 count < 350 cells/μL or AIDS-defining illness) and AHD (CD4 count < 200 cells/μL or AIDS-defining illness) and evaluated associated risk factors using logistic regression methods. RESULTS: Among 14,487 eligible patients, 12,401 (85.6%) were late presenters and 9127 (63.0%) presented with AHD. Late presentation decreased from 88.9% in 2005 to 80.1% in 2010 (P < 0.001). Similarly, AHD decreased from 67.8% in 2005 to 53.6% in 2010 (P < 0.001). In logistic regression models adjusting for sociodemographic and biological variables, male sex [adjusted odds ratio (aOR) = 1.80; 95% confidence interval (CI) 1.60-2.04], older age (aOR = 1.37; 95% CI 1.22-1.54), civil service employment (aOR = 1.48; 95% CI 1.00-2.21), referral from out-patient (aOR = 2.18; 95% CI 1.53-3.08) and in-patient (aOR = 1.55; 95% CI 1.11-2.17) services, and hepatitis B virus (aOR = 1.43; 95% CI 1.26-1.63) and hepatitis C virus (aOR = 1.18; 95% CI 1.02-1.37) coinfections were associated with late presentation. Predictors of AHD were male sex (aOR = 1.67; 95% CI 1.54-1.82), older age (aOR = 1.26; 95% CI 1.16-1.36), unemployment (aOR = 1.34; 95% CI 1.00-1.79), referral from out-patient (aOR = 2.40; 95% CI 1.84-3.14) and in-patient (aOR = 1.97; 95% CI 1.51-2.57) services and hepatitis B virus coinfection (aOR = 1.30; 95% CI 1.19-1.42). CONCLUSIONS: Efforts to reduce the proportion of patients who first seek care at late stages of disease are needed. The identified risk factors should be utilized in formulating targeted public health interventions to improve early diagnosis and presentation for HIV care.
Authors: Muktar H Aliyu; Meridith Blevins; Karen M Megazzini; Deidra D Parrish; Carolyn M Audet; Naomi Chan; Chisom Odoh; Usman I Gebi; Mukhtar Y Muhammad; Bryan E Shepherd; C William Wester; Sten H Vermund Journal: Int Health Date: 2015-05-25 Impact factor: 2.473
Authors: George A Yendewa; Eva Poveda; Sulaiman Lakoh; Sahr A Yendewa; Darlinda F Jiba; Angel Salgado-Barreira; Foday Sahr; Robert A Salata Journal: Open Forum Infect Dis Date: 2018-08-23 Impact factor: 3.835
Authors: Mia Liisa van der Kop; Lehana Thabane; Patricia Opondo Awiti; Samuel Muhula; Lennie Bazira Kyomuhangi; Richard Todd Lester; Anna Mia Ekström Journal: BMC Infect Dis Date: 2016-04-18 Impact factor: 3.090