Incidence and risk factors for medical care interruption in people living with HIV in a French provincial city

PLoS One. 2020 Oct 15;15(10):e0240417. doi: 10.1371/journal.pone.0240417. eCollection 2020.

Abstract

Objectives: The aim of our study was to identify HIV-positive patients at risk of medical care interruption (MCI) in a provincial city of a high-income country.

Methods: We estimated the incidence rate of MCI in 989 individuals followed in an HIV clinic in Caen University Hospital, Normandy, France, between January 2010 and May 2016. We enrolled patients over 18 years old who were seen at the clinic at least twice after HIV diagnosis. Patients were considered to be in MCI if they did not attend care in or outside the clinic for at least 18 months, regardless of whether or not they came back after interruption. We investigated sociodemographic, clinical and immunovirological characteristics at HIV diagnosis and during follow-up through a Cox model analysis.

Results: The incidence rate of MCI was estimated to be 3.0 per 100 persons-years (95% confidence interval [CI] = 2.6-3.5). The independent risk factors for MCI were a linkage to care >6 months after HIV diagnosis (hazard ratio [HR] = 1.14; 95% CI = 1.08-1.21), a hepatitis C coinfection (HR = 1.76; 95% CI = 1.07-2.88), being born in Sub-Saharan Africa (HR = 2.18; 95% CI = 1.42-3.34 vs. in France) and not having a mailing address reported in the file (HR = 1.73; 95% CI = 1.07-2.80). During follow-up, the risk of MCI decreased when the patient was older (HR = 0.28; 95% CI = 0.15-0.51 when >45 vs. ≤ 30 years old) and increased when the patient was not on antiretroviral therapy (HR = 2.78; 95% CI = 1.66-4.63).

Conclusions: Our findings show that it is important to link HIV-positive individuals to care quickly after diagnosis and initiate antiretroviral therapy as soon as possible to retain them in care.

MeSH terms

  • Adult
  • Anti-Retroviral Agents / therapeutic use
  • Female
  • France / epidemiology
  • HIV Infections / diagnosis*
  • HIV Infections / drug therapy
  • HIV Infections / epidemiology
  • Hospitals, University
  • Humans
  • Incidence
  • Male
  • Multivariate Analysis
  • Patient Dropouts / statistics & numerical data*
  • Proportional Hazards Models
  • Risk Factors

Substances

  • Anti-Retroviral Agents

Grants and funding

The author(s) received no specific funding for this work.