Volume 17, Issue 4S3 19534
Poster Session – Abstract P002
Open Access

Factors associated with the continuum of care of HIV-infected patients in Belgium

Dominique Van Beckhoven

Dominique Van Beckhoven

Epidemiology of Infectious Diseases Unit, Scientific Institute of Public Health, Brussels, Belgium

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Patrick Lacor

Patrick Lacor

AIDS Reference Center, Universitair Ziekenhuis Brussel, Brussels, Belgium

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Michel Moutschen

Michel Moutschen

AIDS Reference Center, CHU de Liège, Liege, Belgium

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Denis Piérard

Denis Piérard

AIDS Reference Laboratory, Universitair Ziekenhuis Brussel, Brussels, Belgium

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André Sasse

André Sasse

Epidemiology of Infectious Diseases Unit, Scientific Institute of Public Health, Brussels, Belgium

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Dolorès Vaira

Dolorès Vaira

AIDS Reference Laboratory, Liège University, Liege, Belgium

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Sigi Van den Wijngaert

Sigi Van den Wijngaert

Laboratory of Microbiology, CHU Saint-Pierre, Brussels, Belgium

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Bernard Vandercam

Bernard Vandercam

AIDS Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium

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Marc Van Ranst

Marc Van Ranst

AIDS Reference Laboratory, KU Leuven, Leuven, Belgium

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Eric Van Wijngaerden

Eric Van Wijngaerden

AIDS Reference Center, UZ Leuven, Leuven, Belgium

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Linos Vandekerckhove

Linos Vandekerckhove

UZ Gent, AIDS Reference Center, Ghent, Belgium

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Chris Verhofstede

Chris Verhofstede

UZ Gent, AIDS Reference Laboratory, Ghent, Belgium

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Ruth Verbrugge

Ruth Verbrugge

Epidemiology of Infectious Diseases Unit, Scientific Institute of Public Health, Brussels, Belgium

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Rémy Demeester

Rémy Demeester

AIDS Reference Center, CHU de Charleroi, Charleroi, Belgium

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Stéphane De Wit

Stéphane De Wit

AIDS Reference Center, CHU Saint-Pierre, Brussels, Belgium

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Eric Florence

Eric Florence

AIDS Reference Center, Instituut Tropische Geneeskunde, Antwerp, Belgium

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Katrien Fransen

Katrien Fransen

AIDS Reference Laboratory, Instituut Tropische Geneeskunde, Antwerp, Belgium

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Marie-Luce Delforge

Marie-Luce Delforge

AIDS Reference Laboratory, University Hospital ULB Erasme, Brussels, Belgium

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Jean-Christophe Goffard

Jean-Christophe Goffard

AIDS Reference Center, University Hospital ULB Erasme, Brussels, Belgium

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Patrick Goubau

Patrick Goubau

AIDS Reference Laboratory, Université Catholique de Louvain, Brussels, Belgium

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BREACH

BREACH

Belgian Research on AIDS and HIV Consortium, Belgium

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First published: 02 November 2014
Citations: 15

Abstract

Introduction

We studied factors associated with the continuum of HIV care in Belgium.

Methods

Data of the national registration of new HIV diagnosis and of the national cohort of HIV-infected patients in care were combined to obtain estimates of and factors related with proportions of HIV-infected patients in each step of the continuum of care from diagnosis to suppressed viral load (VL). Factors associated with ignorance of HIV seropositivity were analyzed among patients co-infected with HIV and STI in the Belgian STI sentinel surveillance network. Associated factors were identified by multivariate logistic regression.

Results

Among 4038 individuals diagnosed with HIV between 2007 and 2010, 90.3% were linked to care. Of 11684 patients in care in 2010, 90.8% were retained in care up to the following year, 88.3% of those were on ART, of whom 95.3% had suppressed VL (<500 cp/ml) (Figure 1). In multivariate analyses, factors associated with ignoring HIV+ status were being younger (p<0.001), being heterosexual compared to MSM, and of a region of origin other than Belgium, Sub-Saharan Africa and Europe. Non-Belgian regions of origin were associated with lower entry and retention in care (p<0.001 for both). Preoperative HIV testing was associated with lower entry in care (p=0.003). MSM had a higher retention in care (p<0.001), whilst IDU had lower retention (p=0.004). Low CD4 at first clinical contact and clinical reasons for HIV testing were independently associated with being on ART (p<0.001 for both); whilst prenatal HIV diagnosis was associated with lower proportion on ART (p=0.016) and lower proportion with suppressed VL among those on ART (p=0.005). Older age was associated with both being on ART and having suppressed VL among those on ART (p=0.007 and p<0.001 respectively), independently of time since HIV diagnosis (Table 1).

Conclusions

Regions of origin and risk groups (MSM/heterosexual/IDU) are the main factors associated with ignorance of HIV seropositivity, entry and retention in care, but once the HIV patient is retained in care, no effect of these factors on the proportions on ART and with suppressed VL are observed. The association of prenatal HIV diagnosis and proportions on ART and with suppressed VL could be biased by transitory CD4 disturbances during pregnancy and ART discontinuation after pregnancy. The higher probabilities of older patients to be on ART and have suppressed VL once retained in care could be influenced by factors not studied here like comorbidities, adherence or duration on ART.

Details are in the caption following the image

The continuum of HIV care in Belgium.

Table 1. Adjusted OR for factors associated with each step of the continuum of HIV care
Risk factors Adjusted OR (95% CI)a Undiagnosed HIV + Adjusted OR (95% CI)a No entry in care Adjusted OR (95% CI)a No retention Adjusted OR (95% CI)a On ART Adjusted OR (95% CI)a Suppressed VL (<500 cp/ml)
Sex
Male 1 1 1 1 1
Female 1.32 (0.39–4.44) 0.88 (0.58–1.34) 0.87 (0.70–1.07) 0.76 (0.55–1.04)b 1.02 (0.73–1.42)
Age at diagnosis
<40 yrs 1 1 1 1 1
≥40 yrs 0.42 (0.27–0.64) 0.98 (0.69–1.39) 1.05 (0.86–1.28) 1.31 (1.04–1.65)b 1.75 (1.27–2.42)
Way of transmission
Heterosexual 1 1 1 1 1
MSM 0.39 (0.16–0.95) 0.86 (0.52–1.44) 0.61 (0.47–0.78) 0.80 (0.58–1.09)b 1.06 (0.72–1.56)
IDU / 1.50 (0.55–4.11) 1.88 (1.22–2.88) 2.42 (0.69–8.46)b 1.46 (0.52–4.11)
Region of origin
Belgium 1 1 1 1 1
Sub-Saharan Africa 1.02 (0.33–3.14) 3.11 (1.84–5.26) 1.41 (1.12–1.78) 0.90 (0.66–1.23)b 0.73 (0.51–1.03)b
Europe 0.83 (0.41–1.69) 2.74 (1.59–4.71) 1.86 (1.38–2.52) 0.97 (0.67–1.40)b 0.97 (0.57–1.66)b
Other 2.25 (1.26–4.04) 3.23 (1.79–5.83) 1.54 (1.10–2.17) 0.90 (0.59–1.37)b 0.89 (0.51–1.48)
Reason for testing
Patient's request / 1 1 1 1
Clinical arguments / 0.98 (0.64–1.50) 0.95 (0.74–1.21) 1.76 (1.34–2.31)b 0.92 (0.63–1.35)
Prenatal / 1.14 (0.51–2.52) 1.16 (0.75–1.78) 0.49 (0.30–0.81)b 0.42 (0.23–0.78)
Preoperative / 3.22 (1.50–6.89) 1.21 (0.72–2.04) 1.14 (0.56–2.31)b 0.85 (0.35–2.04)
Other / 0.92 (0.55–1.54) 1.13 (0.86–1.49) 1.54 (1.11–2.14)b 1.03 (0.65–1.63)
CD4 at first visit
CD4 ≥350 / / 1 1 1
CD4 <350 / / 1.16 (0.89–1.51) 8.02 (5.80–11.11) 1.16 (0.78–1.70)
  • Note: Rem: p<0.05, statistically significant variables presented in italic.
  • a Adjusted for sex, age at diagnosis, nationality and ay of transmission
  • b additionally adjusted for CD4 value at first visit.

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