alexa Hierarchy of Determinants Underlying Death among HIV-Infected Patients in French Guiana
ISSN 2155-6113

Journal of AIDS & Clinical Research
Open Access

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Research Article

Hierarchy of Determinants Underlying Death among HIV-Infected Patients in French Guiana

Matthieu Hanf1,2*, Antoine Adenis1, Bernard Carme1,2, Pierre Couppié2,3 and Mathieu Nacher1,2

1Centre d’Investigation Clinique Epidémiologie Clinique Antilles Guyane CIC-EC INSERM CIE 802, Cayenne General Hospital, Cayenne, French Guiana , France

2Department of Parasitology and Mycology-Team EA 3593, Université des Antilles et de la Guyane, Cayenne, French Guiana, France

3Department of Dermatology, Cayenne General Hospital, Cayenne, French Guiana, France

*Corresponding Author:
Matthieu HANF
Centre d’Investigation Clinique
Epidémiologie Clinique Antilles Guyane CIC-EC INSERM CIE 802
Cayenne General Hospital, EHPAD
Avenue des Flamboyants, BP 6006 97300 Cayenne
French Guiana, France
E-mail: [email protected]

Received Date: August 28, 2012; Accepted Date: September 24, 2012; Published Date: September 26, 2012

Citation: Hanf M, Adenis A, Carme B, Couppié P, Nacher M (2012) Hierarchy of Determinants Underlying Death among HIV-Infected Patients in French Guiana. J AIDS Clinic Res 3:172. doi:10.4172/2155-6113.1000172

Copyright: © 2012 Hanf M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited..

Abstract

Objective: In order to determine how risk factors of death among HIV-infected patients in French Guiana interact with one another and to define high risk population segments, an alternative statistical method to Cox proportional hazards models was used. Patients and methods: Data from HIV+ patients followed in the three main hospitals of French Guiana were used. Data were extracted from the prospective French Hospital Database for HIV (FHDH). To examine the nature of the relationships between time of death since the first consultation and a set of predictor variables (age at enrolment, gender, nationality, CD4 count at enrolment, presence or absence of HAART at enrolment, a declared addiction, and mode of acquisition of the virus) a survival tree analysis was used. Survival rates at 5 years and 10 years and their 95% confidence interval were also calculated. Results: This analysis permitted to reveal a new specific subgroup of HIV+ patients particularly at risk in French Guiana not already mentioned in the literature: the HIV+ female patients with a declared addiction. Conclusions: Prevention and care in this vulnerable segment of the HIV+ population identified by this methodology should be reinforced

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