意大利和西班牙注射吸毒者中HCV和HIV合并感染的个体横断面数据联合建模

E. Del Fava, Z. Shkedy, Niel Hens, M. Aerts, B. Suligoi, L. Camoni, F. Vallejo, L. Wiessing, M. Kretzschmar
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引用次数: 18

摘要

本文分析的目的是使用联合建模方法研究注射吸毒者(IDUs)中丙型肝炎病毒(HCV)和人类免疫缺陷病毒(HIV)的联合感染,该方法利用当前状态数据的多变量统计方法。使用边际模型,我们在个体水平上估计了HCV和HIV感染之间的关联度量,即比值比和相关系数,并将其与一些危险因素(如注射生涯的长度、首次注射的年龄、是否共用注射器以及当前注射的频率)进行回归。此外,我们拟合随机效应模型,考虑到个体感染的异质性。在我们的分析中,我们使用了来自两个独立血清学调查的横断面数据,一个是2005年在意大利(IT)进行的856名受试者,另一个是2001年至2003年在三个西班牙(ES)城市进行的589名受试者。我们发现个体感染呈正相关,例如,ORIT=2.56, 95%可信区间(CI) (1.43, 6.68), ORES= 2.42, 95%可信区间(CI)(1.41, 4.30)。我们发现HCV和HIV感染的比值比和相关性随着注射生涯的延长而增加。此外,如果注射吸毒者从未共用注射器或报告注射频率低,则发现它们显着呈阳性。个体随机效应的方差为正,σb2=0.34(0.14, 0.62),表明感染的个体异质性显著。我们的研究结果表明,注射吸毒者中HCV和HIV感染之间的显著关联与感染获得的显著个体异质性有关。事实上,在报告曾经共用注射器的注射吸毒者中,这些感染之间的关联并不显著,这可以解释为他们的行为具有较高的同质性,因此,在他们获得感染的过程中。
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Joint Modeling of HCV and HIV Co-Infection among Injecting Drug Users in Italy and Spain Using Individual Cross-Sectional Data
The aim of the analysis presented in this paper is to study co-infection with hepatitis C virus (HCV) and human immunodeficiency virus (HIV) in injecting drug users (IDUs) using a joint modeling approach that makes use of multivariate statistical methods for current status data. Using marginal models, we estimate association measures between HCV and HIV infections at individual level, i.e., odds ratios and correlation coefficients, and we regress them against some risk factors, e.g., the length of the injecting career, the age at first injection, the ever sharing of syringes, and the frequency of current injecting. In addition, we fit random-effects models that take into account the individual heterogeneity in the acquisition of the infections. For our analysis, we use cross-sectional data from two independent serological surveys, one carried out in Italy (IT) in 2005 on 856 subjects, and the other in three Spanish (ES) cities, between 2001 and 2003, on 589 subjects. We found that the infections are positively associated within individuals, e.g., ORIT=2.56 with 95% confidence interval (CI) (1.43, 6.68) and ORES= 2.42, with 95% CI (1.41, 4.30). We found that the odds ratio and the correlation between HCV and HIV infections increase positively with the length of the injecting career. Moreover, they are found to be significantly positive in case IDUs have never shared syringes or report low injecting frequencies. The variance of the individual random effects is positive, e.g., σb2=0.34 (0.14, 0.62), indicating that there is significant individual heterogeneity in the acquisition of the infections. Our results show that a significant association between HCV and HIV infections within IDUs is related to significant individual heterogeneity in the acquisition of the infections. Indeed, the association between these infections in IDUs who report ever sharing syringes is not significant, which can be explained by a higher homogeneity in their behaviors and, therefore, in their acquisition of the infections.
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