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The Undiagnosed Chronically-Infected HCV Population in France. Implications for Expanded Testing Recommendations in 2014

  • Cécile Brouard ,

    c.brouard@invs.sante.fr

    Affiliation: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France

  • Yann Le Strat,

    Affiliation: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France

  • Christine Larsen,

    Affiliation: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France

  • Marie Jauffret-Roustide,

    Affiliations: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France, Cermes3 (Inserm U988/CNRS UMR8211/EHESS/Université Paris-Descartes), Paris, France

  • Florence Lot,

    Affiliation: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France

  • Josiane Pillonel

    Affiliation: Infectious Diseases Department, French Institute for Public Health Surveillance (InVS), Saint-Maurice, France

The Undiagnosed Chronically-Infected HCV Population in France. Implications for Expanded Testing Recommendations in 2014

  • Cécile Brouard, 
  • Yann Le Strat, 
  • Christine Larsen, 
  • Marie Jauffret-Roustide, 
  • Florence Lot, 
  • Josiane Pillonel
PLOS
x

Abstract

Background

Recent HCV therapeutic advances make effective screening crucial for potential HCV eradication. To identify the target population for a possible population-based screening strategy to complement current risk-based testing in France, we aimed to estimate the number of adults with undiagnosed chronic HCV infection and age and gender distribution at two time points: 2004 and 2014.

Methods

A model taking into account mortality, HCV incidence and diagnosis rates was applied to the 2004 national seroprevalence survey.

Results

In 2014, an estimated 74,102 individuals aged 18 to 80 were undiagnosed for chronic HCV infection (plausible interval: 64,920-83,283) compared with 100,868 [95%CI: 58,534-143,202] in 2004. Men aged 18-59 represented approximately half of the undiagnosed population in 2014. The proportion of undiagnosed individuals in 2004 (43%) varied from 21.9% to 74.1% in the 1945-1965 and 1924-1944 birth cohorts. Consequently, age and gender distributions between the chronically-infected (diagnosed and undiagnosed) and undiagnosed HCV populations were different, the 1945-1965 birth cohort representing 48.9% and 24.7%, respectively.

Conclusions

Many individuals were still undiagnosed in 2014 despite a marked reduction with respect to 2004. The present work contributed to the 2014 recommendation of a new French complementary screening strategy, consisting in one-time simultaneous HCV, HBV and HIV testing in men aged 18-60. Further studies are needed to assess the cost-effectiveness and feasibility of such a strategy. We also demonstrated that data on the undiagnosed HCV population are crucial to help adapt testing strategies, as the features of the chronically-infected HCV population are very distinct.

Introduction

In the last decade, the management of Hepatitis C Virus (HCV) infection has significantly evolved. The greatest advance concerns the development of direct-acting antiviral agents (DAAs) which have revolutionized HCV treatment. Ongoing clinical trials demonstrate sustained virologic response rates exceeding 90% and minimal side effects with interferon-free all-oral combinations [1,2]. These DAAs may improve HCV treatment adherence and compliance provided that they are made widely available despite their projected high costs. Treatment as a prevention strategy could then become feasible in injecting drug users (IDUs) who constitute the main reservoir of HCV transmission in western countries. A marked reduction of HCV prevalence over the medium-term could be possible if even only a small proportion of IDUs were treated [35].

Improving care for HCV-infected patients also involves the development and widespread use of non-invasive methods to assess liver fibrosis, including the measurement of serum biomarkers and of liver stiffness using elastography. These two methods are now recommended for first-line evaluation of liver fibrosis in patients with chronic hepatitis C [6]. By reducing the need for liver biopsy, they improve linkage to care and therefore treatment initiation.

New screening tools are also available upstream of hepatitis C management. Rapid diagnostic tests using non-traditional biological matrices, such as gingival crevicular fluid and total capillary blood, are rapidly evolving and present satisfactory diagnostic accuracy [7]. By providing patients with testing opportunities in locations other than biological laboratories (point-of-care testing), rapid diagnostic tests help extend first-line HCV screening, especially towards the hard-to-reach populations including IDUs, migrants and those with a low socio-economic status [8].

In this context, the eradication of HCV infection would seem to be achievable since the disease meets most scientific and socio-political criteria for disease eradicability [3,9]. However, eradication would not be possible without a significant improvement in screening effectiveness [10]. Indeed, HCV infection is under-diagnosed since HCV infection is often asymptomatic for many years. In the United States (US), it has been estimated that almost half of the HCV-infected population were unaware of their status in the 2001–2008 period [11]. This under-diagnosis constitutes a missed opportunity for infected individuals to benefit from early access to care and therefore to limit their risk of morbidity and mortality. At the group level, under-diagnosis limits a general reduction in viral transmission. To improve the identification of people living with chronic HCV infection, some western countries, like the U.S. and Canada, have recently implemented expanded HCV screening recommendations for one-time testing in specific birth cohorts in addition to existing risk-based strategies [12,13]. This population-based testing strategy concerns the birth cohort of people born between 1945 and 1965 in the US, and between 1945 and 1975 in Canada, because these age-groups have the highest HCV antibodies prevalence [12,13].

Complementing existing risk-based testing strategies [14] with additional population-based screening is currently a topical issue also in France. Indeed, despite the country providing some of the best hepatitis care and highest screening rates [1517] in Europe—most probably the result of three national action plans for prevention implemented by the French Ministry of Health since 1999 [18]—several indicators demonstrate that there is still a great deal of room for improvement. First, only 57% of chronically-infected HCV patients in France were aware of their status in 2004 [19]. Second, among diagnosed people, less than 20% were diagnosed for risk exposure, the majority (57%) being diagnosed during systematic screening (i.e. during a check-up, blood donation, etc.) [20,21]. The high proportion of patients with cirrhosis or hepatocellular carcinoma at the time of HCV diagnosis (12%) also suggests that there are limitations with using the risk-based testing strategy [20]. HCV screening effectiveness in France, just as in the US and Canada, may be improved by complementing current risk-based testing with population-based testing. To identify the population to be targeted (age-group and/or gender), data on the characteristics of undiagnosed persons are essential.

Accordingly, this work aimed to estimate the number of adults with undiagnosed chronic HCV infection in France in 2014 and their age and gender distributions in order to help adapt existing testing strategies. The secondary objective was to study the differences between these estimates and those for 2004. This research was conducted in the context of the first French report for recommendations on the management of patients infected with hepatitis C or B virus, published in May 2014 [22].

Materials and Methods

We defined undiagnosed chronically-infected HCV individuals as persons with positive HCV RNA unaware of their infection. The number, proportion, and demographic distribution of these individuals were estimated from the most recent national seroprevalence survey conducted in 2004 [19] and updated for 2014 (except the proportion).

2004 seroprevalence data

A cross-sectional survey among a random sample of residents of mainland France, aged 18–80 years old, was conducted in 2004 to estimate the prevalence of hepatitis B and C virus infections [19]. Selected individuals received an invitation letter for a free medical checkup. Overall, 14,416 people were included after written informed consent. An anti-HCV antibody screening test was first carried out for all participants. HCV RNA detection was then performed for those individuals diagnosed anti-HCV positive. Data were collected for demographic characteristics, potential exposure to HCV and any prior HCV screening and results. Awareness of HCV infection was assessed using these two last variables.

2014 model-based estimates

An epidemiologic model was applied to undiagnosed chronically-infected HCV cases aged 18 to 80 in 2004 to estimate the number of undiagnosed persons aged 18–80, and their age and gender distribution in 2014. Analyses were performed for each year from 2004 to 2014, for each gender and age-group (18–29, 30–39, 40–49, 50–59, 60–69 and 70–80) (Fig 1). Each year, new individuals entered in the pool of the undiagnosed chronically-infected population either because they were new infections evolving to chronicity or because they were prevalent undiagnosed cases turning 18. There were also outgoing cases from the pool of the undiagnosed chronically-infected population for three reasons: i) diagnoses between 2004 and 2014 of prevalent cases in 2004 (cases already infected in 2004) and incident cases over the period; ii) deaths; iii) undiagnosed cases turning 81.

Data.

Multiple data sources were compiled to feed the model (Table 1). To include uncertainties of the model parameters, we studied several scenarios to estimate a plausible interval around the estimated number of undiagnosed HCV persons in 2014.

New infections evolving to chronicity: we assumed that new infections arose mainly among active IDUs (defined as people who injected drugs at least once during the previous month) and that a few cases occurred in the general population (not active IDUs). In the absence of accurate incidence rate estimates among IDUs in France, we reviewed the incidence rates from western countries, which varied from 2% to 33%, with a median and average value of 12% [2330]. Since this parameter had a strong impact on the final estimate, we used a low estimate at 6% and a high estimate at 18%. We assumed that the incidence rate was 3.5 times higher for those aged under 30 years compared with those aged 30 or over [3133]. We obtained the annual number of incident infections in active IDUs by multiplying the incidence rate by the estimated number of active French IDUs susceptible to HCV infection. The latter were assessed using: i) the number of active IDUs in France, estimated at 81,000 in 2006 by the French Monitoring Centre for Drugs and Drug Addiction [34], and assumed to range from 70,000 (low estimate) to 90,000 (high estimate) in 2011 [35]; ii) the age and gender distribution of active IDUs estimated through two editions of a national seroprevalence survey (ANRS-Coquelicot study), conducted in 2004 and 2011, among drug users enrolled in specialized services (S1 and S2 Tables) [36,37] and iii) HCV seroprevalence among active IDUs by age-group and gender in France (S3 and S4 Tables) [36,37]. Since our work focused on the chronically-infected HCV population, we subsequently removed the number of spontaneous clearances, estimated at 30% (low estimate) and 40% (high estimate) [38,39], from the estimated number of new HCV infections in active IDUs.

The number of new HCV infections evolving to chronicity in the general population was estimated in the same way using the HCV seroprevalence in the general population (S6 Table) [19], the age and gender distribution of the general population [40], the HCV incidence rate estimated in repeat blood donors (constituting a proxy of HCV incidence in the general population) (S5 Table) [41] and the rate of spontaneous viral clearance (between 30% and 40% [38,39]).

Prevalent undiagnosed cases who turned 18 between 2004 and 2014: this number was assessed using the estimated numbers of men and women aged of 18 undiagnosed for HCV chronic infection in 2004 [19].

Diagnoses: The number of prevalent undiagnosed cases in 2004 who were then diagnosed between 2004 and 2014 was estimated for each year, assuming that the proportion of chronically-infected HCV cases aware of their status in 2004 [19] increased by 1% per year [16]. Among incident cases in the general population, the yearly number of diagnosed cases was estimated using the proportion of chronically-infected HCV cases aware of their status in 2004 [19] and the distribution of the delays between infection and diagnosis of cases reported by hepatology wards in university hospitals to the national HCV surveillance system between 2004 and 2007 [21]. The estimated number of diagnoses of incident cases among active IDUs was based on the proportion of diagnosed among anti-HCV IDUs, on age at first injection of drugs [36,37] and on the distribution of the delay between infection and diagnosis for HCV cases for whom intravenous drug use was the suspected transmission mode [21].

Deaths in prevalent and incident cases: The competitive mortality rate was derived from the French life tables [40]. For active IDU incident cases, an excess mortality rate of 5.27 and 9.74, respectively, for men and women based on a French cohort study [42], was applied to competitive mortality values to take into account higher mortality than in the general population, due to IDU at-risk behaviors (overdose, suicide, road accidents, etc. [43]).

Undiagnosed cases turning 81 between 2004 and 2014 were excluded from the final estimated number since our study population focused on the 18 to 80 year-old population.

Finally, eight scenarios combining low and high estimates of the number of active IDUs in 2011, HCV incidence rate in IDUs and HCV spontaneous clearance rate were studied (Table 2). From these scenarios, we obtained the final estimate (mid-point) and a plausible interval.

thumbnail
Table 2. Estimated numbers and distributions by gender and age-group of undiagnosed chronically-infected HCV population according to eight scenarios in 2014, mainland France.

http://dx.doi.org/10.1371/journal.pone.0126920.t002

Data analyses were performed using SUDAAN software (RTI International, Research Triangle Park, North Carolina), Stata 12.1 (Stata Corporation, College Station, TX) and Excel.

The protocol of the 2004 seroprevalence survey, that included collection of a written informed consent to participate in this study for all participants, was reviewed and approved by a national institutional and ethical review board (Comité consultatif de protection des personnes dans la recherche biomédicale, October 25, 2002, no. 02–035).

Results

2004 seroprevalence data

Among 232,196 chronically-infected individuals with HCV [95%CI: 167,869–296,523] [19], we estimated that 100,868 [95%CI: 58,534–143,202] (43.4%) were undiagnosed in 2004. The proportion of undiagnosed individuals was higher in men than in women (48.3% vs. 40.1%, p<0.001). This figure was observed for the 18–39 and 40–59 year old age-groups (46.8% vs. 28.4%, p<0.001 and 33.5% vs. 17.4%, p<0.001, respectively) (Fig 2). Conversely, for the 60–80 year old age-group, we estimated that women were more frequently undiagnosed than men (77.8% vs. 67.3% respectively, p<0.001). For both genders, the 60–80 age-group (1924–1944 birth cohort) had the highest proportion of undiagnosed individuals (74.1%) while the 40–59 year old group (1945–1965 birth cohort) had the lowest (21.9%).

thumbnail
Fig 2. Estimated proportion of undiagnosed among chronically-infected HCV population by gender and age-group in 2004, mainland France.

http://dx.doi.org/10.1371/journal.pone.0126920.g002

As a result, age and gender distributions between the chronically-infected (diagnosed and undiagnosed) HCV population and the undiagnosed population were quite different. Women represented 54.9% of the undiagnosed population vs. 59.5% of the infected population. Most of those undiagnosed were in the 60–80 year old age-group (1924–1944 birth cohort, 57.6%), the 40–59 (1945–1965 birth cohort) and 30–59 year old (1945–1975 birth cohort) age-groups representing, respectively, 24.7% and 41.0%. For the chronically-infected HCV population (Fig 3a and 3b) the latter two groups accounted for 48.9% and 63.7%, respectively.

thumbnail
Fig 3. Age and gender estimated distributions of HCV chronically-infected population according to diagnosis and year, mainland France.

http://dx.doi.org/10.1371/journal.pone.0126920.g003

Among the 100,868 chronically-infected undiagnosed persons in 2004, 32.4% reported having a blood transfusion before 1992 (the year when systematic anti-HCV screening in blood donations was introduced), 6.0% reported intravenous drug use at least once during their lifetime and 13.9% were born in moderate or high HCV endemic countries [44].

2014 model-based estimates

Over the 2004–2014 period, the estimated number of new infections evolving to chronicity varied according to the different scenarios studied, from 9,469 (scenario 1) to 36,708 (scenario 8). The estimated number of diagnoses rose from 22,158 to 30,340 and the estimated number of deaths from 12,211 to 12,898 (Table 2). The estimated number of prevalent cases who turned 18 years old and the number of cases who turned 81 in the period 2004–2014 were, respectively, 2,106 and 13,140, irrespective of the scenario.

In 2014, the estimated number of undiagnosed chronically-infected HCV individuals varied from 64,920 to 83,283 according to the scenario (plausible interval), with a midpoint estimate at 74,102, a decrease of 27% compared with 2004. The decline was particularly marked for the 60–80 age-group (-47%). In 2014, conversely to 2004, the undiagnosed population was mainly comprised of men (59.1%). The 60–80 year old age-group remained predominant (41.2%), especially the 70–80 that represented 36.9% of the undiagnosed (Fig 3c). In the undiagnosed population in 2014, there were few women under 60 years old whereas men aged 18 to 59 accounted for 45.4%.

Discussion

To identify the population to be targeted by a possible population-based screening strategy as a complement to current risk-based testing in France, this work provides estimates for the numbers and age and gender distributions of the undiagnosed chronically-infected HCV population in mainland France. In 2014, an estimated 74,102 individuals aged 18 to 80 were undiagnosed for chronic HCV infection (plausible interval: 64,920–83,283) compared with 100,868 [95%CI: 58,534–143,202] in 2004. The proportion of undiagnosed individuals in 2004 was estimated at 43% but varied greatly according to age and gender. In 2004, chronically-infected women in the 18–59 age-group were undiagnosed less frequently than their male counterparts, most likely thanks to HCV testing concomitant with mandatory HBV and HIV antenatal screening. Fewer than a quarter of the 40–59 year old age-group were undiagnosed, this proportion reaching nearly three quarters among the 60–80 year old group, leading to a predominance of the eldest among those undiagnosed in 2004. One may assume that the majority of the 60–80 year old group had been infected in the distant past, most probably through blood transfusion, and did not consider themselves at risk. Indeed, almost one third of the undiagnosed HCV population in 2004 reported a history of blood transfusion before 1992. The actual proportion was probably higher since a history of blood transfusion may sometimes be unknown to patients and/or physicians.

The decision to update data for the undiagnosed HCV population for 2014 was based on our expectation that the number of undiagnosed among the 18–80 year old age-group would be substantially smaller than that in 2004. Indeed, this decision was justified as a reduction of 27% was estimated. This reduction was largely due to the decrease seen in the 60–80 year old group (approximately 50%), either because of death or because they turned 81. Almost half of the undiagnosed HCV population in 2014 was male aged between 18 and 59 years old.

This finding contributes to the recommendation of a new French complementary screening strategy included in the first French report on the management of patients infected with hepatitis C or B virus in 2014 [22]. This new recommendation promotes the expansion of HCV screening to include one-time simultaneous HCV, HBV and HIV testing in men aged 18–60, independently of risk exposure. It is based on the fact that there are similarities between these three viruses, in terms of epidemiology, transmission modes and the predominance of males in the undiagnosed populations (more than 70% for HIV in 2010 [45] and almost 80% for HBV in 2004 [22,46]). Moreover, combined testing (as opposed to using different testing strategies) for these three viruses may improve acceptability by general practitioners. The real-world application of testing recommendations by primary care physicians is of critical importance. For example, the application of the 2009-recommendation for routine HIV testing among the 15–70 year old general population in France has been poor, partly because of feasibility problems [47]. Several studies have also highlighted the poor uptake of the American recommendation for HCV birth cohort screening by physicians in the US [12,48,49].

The present work has limitations. The first involves potential participation bias in the 2004 national prevalence survey. However, the impact of such a bias on estimates is difficult to assess as it is unclear whether HCV-diagnosed individuals were less or more inclined to go to centers for a medical checkup [19,50]. The second limitation involves the simple epidemiologic model and the large number of data sources for the 2014 update. Since uncertainty was unknown for several parameters, global variance could not be easily calculated. Our alternative was to propose different scenarios adding uncertainties for parameters which had the greatest impact on estimates. We calculated a midpoint estimate and a plausible interval likely to contain the true value. Moreover, this approach was based on several assumptions. For example, pending HCV incidence estimate from ANRS-Coquelicot survey [37], we assumed, from literature, that the incidence rate in French IDUs was between 6% and 18% during the 2004–2014 period [2330]. This rate range is consistent with a previous estimate (11%) for the North-Eastern region of France in 2000 [31]. For diagnosis, we assumed an annual increase of 1% in the proportion of chronically-infected HCV individuals aware of their status. This hypothesized 1%, used in previous models in France [16], is probably the lowest minimum, since data for the 1994 to 2004 period highlighted an increase from 24% to 56% in the proportion of those aware [21] and because HCV screening activity has continued to increase since the 2000’s [20]. This may have led to an overestimation of the number of undiagnosed individuals in 2014. To take into account the number of deaths, we used competitive mortality (except for incident cases among active IDUs). This assumption seems reasonable since severe liver disease was unlikely in this undiagnosed (and therefore asymptomatic) population. Finally, due to sparse data, we did not take into account migrations. However, if anything, this may have led to a slightly underestimation of the number of undiagnosed population in 2014, as migrants represented less than 15% of undiagnosed population in 2004 and migrant flows did not significantly change until 2014 [40].

One of the main strengths of this work is that it relies on a national survey performed on a large and randomly selected sample of 15,000 individuals, all tested for HCV and, concomitantly, interviewed about social, demographic, behavioral characteristics, at-risk exposure and awareness of HCV status [19]. An epidemiologic model enabled us to update data on the number of undiagnosed population for 2014. Another specificity of our work is that it focuses on the chronically-infected population (HCV RNA positive) which constitutes the target screening. This is unlike the large number of other studies based on anti-HCV positive populations which include both past and active infections. Finally, for the first time in France, this work provides estimates of the undiagnosed population, which are essential to help adapt testing strategies as HCV prevalence data alone are not sufficient, and may even misguide public health policy making. As illustrated in Fig 3, demographic characteristics of French chronically-infected HCV (diagnosed and undiagnosed) and undiagnosed populations were markedly different since the proportion of undiagnosed individuals was strongly associated with age and gender. The 1945–1965 birth cohort represented almost half of the chronically-infected HCV population but only a quarter of the undiagnosed population, since this birth cohort was the most diagnosed. The situation may be similar in the US where the highest diagnosis rate was also observed in the 1945–1965 birth cohort both in the general population [11] and among veterans [51].

According to our 2014 estimates, elderly undiagnosed people are numerous in France (nearly 45,000 in the 60–90 age-group). However, elderly people with HCV are rarely treated due to higher rates of side effects leading to discontinuation of therapy. The development of interferon-free regimens could change this paradigm and lead to reassess the age bracket testing recommendation [10].

Conclusions

This original work contributed, in 2014, to recommend a new French screening strategy [22]. It may also help to feed models to assess if population-based screening would be cost-effective in a low-prevalence setting, taking feasibility into account. The latter would constitute one element of several screening strategies which include reinforcement of targeted screening and community testing outside clinical settings for hard-to-reach populations. However, improvement in the identification of HCV-infected population cannot be effective without expanding access to treatment for people diagnosed positive, notably given the perspective of the possible eradication of HCV infection in France [10].

Supporting Information

S1 Table. Estimated age-and-gender distribution of French active IDUs in 2004, ANRS Coquelicot survey.

doi:10.1371/journal.pone.0126920.s001

(DOC)

S2 Table. Estimated age-and-gender distribution of French active IDUs in 2011, ANRS Coquelicot survey.

doi:10.1371/journal.pone.0126920.s002

(DOC)

S3 Table. Estimated HCV seroprevalence among French active IDUs, by age-group and gender in 2004, ANRS Coquelicot survey.

doi:10.1371/journal.pone.0126920.s003

(DOC)

S4 Table. Estimated HCV seroprevalence among French active IDUs, by age-group and gender in 2011, ANRS Coquelicot survey.

doi:10.1371/journal.pone.0126920.s004

(DOC)

S5 Table. Estimated HCV incidence (per 100,000 person-years) in repeat blood donors by age-group, gender in France, 2004–2012.

doi:10.1371/journal.pone.0126920.s005

(DOC)

S6 Table. Estimated HCV seroprevalence in the French general population by age-group and gender, 2004, mainland France.

doi:10.1371/journal.pone.0126920.s006

(DOC)

Acknowledgments

To C. Meffre, E. Delarocque-Astagneau and J-C. Desenclos for conducting 2004 seroprevalence survey, to C. Semaille for her support at the initiation of this project, to L. Weill-Barillet, X. Pascal for providing ANRS-Coquelicot data, to G. La Ruche for his critical review and to J. Sweeney for his professional editing of the manuscript.

Author Contributions

Conceived and designed the experiments: CB JP YLS. Analyzed the data: CB JP YLS. Contributed reagents/materials/analysis tools: MJR CL. Wrote the paper: CB JP. Helped in interpreting the results: YLS MJR CL FL. Commented on the various drafts of the manuscript: YLS MJR CL FL.

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