Literature DB >> 31050687

Quality of life in patients with chronic hepatitis C infection: Severe comorbidities and disease perception matter more than liver-disease stage.

Sabrina Cossais1, Michaël Schwarzinger1,2, Stanislas Pol3,4, Hélène Fontaine3,4, Dominique Larrey5, Georges-Philippe Pageaux5, Valérie Canva6, Philippe Mathurin6,7, Yazdan Yazdanpanah1,8, Sylvie Deuffic-Burban1,7.   

Abstract

BACKGROUND AND AIMS: This study evaluated the clinical and non-clinical determinants of health-related quality of life (HRQoL) associated with untreated chronic hepatitis C (CHC) in France.
METHODS: From 01/2014 to 01/2015, untreated CHC patients were invited to complete a questionnaire including EQ-5D utility instrument and two visual analogue scales (VAS) measuring overall health and fatigue in three French centers (Paris, Lille and Montpellier). Answers were analyzed in mixed models (taking into account the clustering effects of centers and physicians).
RESULTS: Five hundreds and five patients were enrolled: 52% males; the mean age was 54; 41% had BMI>25; 64% had genotype 1; 36% were at the stage of severe fibrosis (F3-F4); 38% had severe comorbidities other than liver-related. In the univariate analysis, EQ-5D utility was associated with socio-demographic variables as age, place of birth, education, and employment; CHC-related variables as conditions of HCV screening and severity of fibrosis; CHC-unrelated variables as comorbidities other than CHC, being overweight, and psychiatric disorders; feelings about CHC disease as perception of progression, lack of information on CHC and its treatments, and entourage's feeling. In multivariate analysis, EQ-5D utility was affected by not being in employment (0.72 vs. 0.80), having severe comorbidities other than CHC (0.72 vs. 0.79), being overweight (0.73 vs. 0.78), and feeling worried about CHC progression (0.66 vs. 0.72-0.84). Similar results were found for the VAS.
CONCLUSIONS: The presence of severe comorbidities and worrying about CHC progression, but not stage of fibrosis, seem to alter significantly EQ-5D health utility in CHC French patients.

Entities:  

Mesh:

Year:  2019        PMID: 31050687      PMCID: PMC6499434          DOI: 10.1371/journal.pone.0215596

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The impact of chronic hepatitis C (CHC) infection on health-related quality of life (HRQoL) has received increasing interest over the past ten years [1,2]. HRQoL has been especially shown to be impaired in patients with CHC [3-6]. With the advent of highly effective, and well tolerated, new direct-acting antivirals (DAAs), clinicians and patients emphasize that all those with HCV should receive these new treatments, not only to decrease HCV morbidity and mortality and/or HCV transmission, but also to improve patients' HRQoL. Indeed, higher HRQoL has been found after a sustained virological response [7,8]. The hypothesis is that, because of the impact of these treatments on HRQoL, and despite their high costs, they could be cost-effective even in those patients who are at the early stages of the disease. However, few studies have measured HRQoL [7,9,10]. HRQoL may be affected in a subgroup of HCV-infected patients although not all of them. A recent study conducted in France, the UK, and Germany generated a utility value set for CHC patients, stratified by stage of liver disease [8]. Patient characteristics such as male gender [11,12], being unemployed, being an intravenous drug user, comorbidities, a liver disease stage above F2 [4,13-15], genotype 3, and not having achieved sustained virological response (SVR), decreased HRQoL. Associations were also found between HRQoL and knowledge of diagnosis [16,17] and or being naïve to treatment or not (in relation to adverse events of previous treatment) [18-20]. Beyond the level of disease severity, HRQoL for CHC patients may be impaired by the difficulty of accepting the disease and its social impacts. These non-clinical aspects had not been widely assessed. The availability of new DAAs may change not only the HRQoL of CHC patients, but also their perception of the disease. The objective of the present study was to evaluate the HRQoL and their determinants in untreated patients with CHC, before the initiation of new DAAs in France, in a period during which patients were aware of DAAs availability.

Methods

Study design and participants

The French ethics committee, Commission nationale de l'informatique et des libertés de France (CNIL) approved by written the study (N/Ref.: MMS/FLR/AR146546). A cross-sectional study was conducted between January 2014 and January 2015 in three reference centers (Paris, Lille and Montpellier). Patients with CHC were eligible for this study if they were 18–70 years old, had not received a liver transplant, and were not receiving treatment for CHC. All patients meeting the inclusion criteria were invited by their physician to participate. The individual in this manuscript has given written informed consent (as outlined in PLOS consent form) to publish these case details. All participants completed a questionnaire administered face to face by a clinical research fellow, except at Lille, where it was self-administered. The questionnaire proposed 50 questions including measures of HRQoL and patients’ characteristics: comorbidities, circumstances of HCV discovery, CHC clinical history and its evolution, information and perception of CHC (using four-point Likert scales [21]), impact of CHC on daily life including dependence on alcohol (according to a CAGE (Cut-down, Annoyed, Guilty, Eye-opener) questionnaire [22]), and positioning in relation to HCV treatments. Fibrosis stage and genotype were obtained from medical records.

Measure of quality of life

HRQoL was assessed using EQ-5D, for which a time trade-off (TTO) French utility value set is available [23]. This questionnaire contains five generic questions on mobility, self-care, habitual activities, pain/discomfort and anxiety/depression that were declined on three levels (EQ-5D-3L): no problems, some problems, and extreme problems. HRQoL was also evaluated through two visual analogue scales (VAS), a vertical line of 100 mm: one assessing overall health [24] defined between 0 (worst) and 100 (best imaginable health), and one assessing overall fatigue [25] defined between 0 (none) and 100 (worst fatigue). The patient placed a mark between these two extremities according to his overall health and his level of fatigue felt the day of the interview.

Statistical analysis

Chi-square tests were used to compare patients’ characteristics according to their stage of fibrosis (F0-F1, F2 and F3-F4). HRQoL was evaluated through the estimation of mean EQ5D utility index [23], and mean VAS values on general health [24] and fatigue [25]. Determinants of the EQ-5D utility index, overall health, and overall fatigue, were analyzed with mixed models taking into account the cluster effect (hepatology centers and physicians). Variables associated with the outcome in the univariate analysis (p<0.20) were introduced in the multivariate analysis. To avoid the inclusion of highly correlated variables in the multivariate analysis, we performed a principal component analysis on all 12 subjective Likert scales on knowledge, attitude, belief, and perception. Accordingly, four variables added little information and were removed: perceived future progression of CHC, severity of CHC disease, knowledge about the availability of new treatments, and knowledge about the chances of healing using older treatments. Next, a step-by-step backward elimination procedure with a significance threshold of 0.05 was used to identify the variables independently associated with each outcome studied, while four socio-demographic variables (gender, age, place of birth, education) were forced in all multivariate models. Data were analyzed using SAS version 9.4.

Results

Demographic characteristics and clinical data

A total of 505 HCV-mono-infected patients were enrolled in the study (Table 1); 481 had complete records. The detailed socio-demographic and clinical characteristics of patients are presented according to fibrosis stage. Forty-one percent of patients had minimal fibrosis (F0-F1), whereas 35% were at an advanced stage F3-F4. Overall, 52% were men; the majority of patients were over 50 years old (72%), born in France (74%), had a bachelor's degree level of education (54%), were in employment (55%), and had children (75%). The distribution of gender, age, education and parenthood varied according to fibrosis stage. In particular, women represented 58% of F0-F1, 46% of F2 and 36% of F3-F4 (p<0.0001).
Table 1

Patient characteristics, n (%).

VariableClassTotalF0-F1F2F3-F4P value
GenderMale252 (52.4)81 (41.5)62 (53.5)109 (64.1)< .0001
 Female229 (47.6)114 (58.5)54 (46.5)61 (35.9)
Age18–49133 (27.7)75 (38.5)22 (19.0)36 (21.2)0.006
 50–54102 (21.2)36 (18.5)25 (21.6)41 (24.1)
 55–59104 (21.6)39 (20.0)26 (22.4)39 (22.9)
 60–6476 (15.8)23 (11.8)22 (19.0)31 (18.2)
 65–7066 (13.7)22 (11.3)21 (18.1)23 (13.5)
Place of birthFrance354 (73.6)136 (69.7)88 (75.9)130 (76.5)0.284
 Abroad127 (26.4)59 (30.3)28 (24.1)40 (23.5)
EducationNo bachelor level223 (46.4)75 (38.5)58 (50.0)90 (52.9)0.015
 Bachelor level258 (53.6)120 (61.5)58 (50.0)80 (47.1)
WorkYes263 (54.7)111 (56.9)69 (59.5)83 (48.8)0.148
 No218 (45.3)84 (43.1)47 (40.5)87 (51.2)
ChildrenYes361 (75.1)134 (68.7)96 (82.8)131 (77.1)0.016
 No120 (24.9)61 (31.3)20 (17.2)39 (22.9)
CentersParis Cochin221 (45.9)104 (53.3)52 (44.8)65 (38.2)0.001
 Lille112 (23.3)52 (26.7)26 (22.4)34 (20.0)
 Montpellier148 (30.8)39 (20.0)38 (32.8)71 (41.8)
PhysicianA28 (5.8)19 (9.7)2 (1.7)7 (4.1)< .0001
 B72 (14.9)31 (15.9)22 (19.0)19 (11.2)
 C12 (2.5)2 (1.0)2 (1.7)8 (4.7)
 D17 (3.5)7 (3.6)5 (4.3)5 (2.9)
 E24 (4.9)15 (7.7)1 (0.9)8 (4.7)
 F121 (25.2)54 (27.7)37 (31.9)30 (17.7)
 G45 (9.4)21 (10.8)8 (6.9)16 (9.4)
 H14 (2.9)7 (3.6)1 (0.9)6 (3.5)
 I148 (30.8)39 (20.0)38 (32.8)71 (41.8)
Screening contextHealth check-up259 (54.1)107 (54.9)61 (52.6)91 (54.2)0.271
 Medical follow-up40 (8.4)19 (9.7)12 (10.3)9 (5.4)
 Blood donation106 (22.1)46 (23.6)26 (22.4)34 (20.2)
 Persistent fatigue74 (15.6)23 (11.8)17 (14.7)34 (20.2)
Genotype1311 (64.7)127 (65.1)82 (70.7)102 (60.0)0.416
 2.394 (19.5)39 (20.0)17 (14.7)38 (22.4)
 4.5.676 (15.8)29 (14.9)17 (14.7)30 (17.7)
Treatment historyNaïve240 (49.9)131 (67.2)51 (44.0)58 (34.1)< .0001
 Non-naïve241 (50.1)64 (32.8)65 (56.0)112 (65.9)
Severe comorbiditiesaYes180 (37.4)67 (34.4)42 (36.2)71 (41.8)0.329
No301 (62.6)128 (65.6)74 (63.8)99 (58.2)
OverweightbYes200 (41.6)66 (33.9)57 (49.1)77 (45.3)0.014
No281 (58.4)129 (66.1)59 (50.9)93 (54.7)
Psychiatric disordersYes53 (11.0)16 (8.2)14 (12.1)23 (13.5)0.247
 No428 (89.0)179 (91.8)102 (88)147 (86.5)
Injection or nasal drug useYes201 (41.8)64 (32.8)50 (43.1)87 (51.2)0.002
No280 (58.2)131 (67.2)66 (56.9)83 (48.8)
Alcohol Use Disordersc Yes152 (31.6)41 (21.0)28 (24.1)83 (48.8)< .0001
No329 (68.4)154 (79.0)88 (75.9)87 (51.2)
Perceived progression of CHC between infection and todayVery comforting56 (12.2)37 (20.2)10 (8.9)9 (5.6)< .0001
Rather comforting250 (54.6)115 (62.8)75 (66.4)60 (37.0)
Rather worrying112 (24.3)23 (12.6)22 (19.5)67 (41.4)
Very worrying40 (8.7)8 (4.4)6 (5.3)26 (16.1)
Perceived future progression of CHCVery comforting96 (20.1)51 (26.4)21 (18.3)24 (14.1)0.081
Rather comforting158 (33.1)62 (32.1)39 (33.9)57 (33.5)
Rather worrying164 (34.3)56 (29.0)44 (38.3)64 (37.7)
Very worrying60 (12.6)24 (12.5)11 (9.6)25 (14.7)
Level of informationdInformed407 (85.2)166 (85.6)96 (83.5)145 (85.8)0.845
 Uninformed71 (14.9)28 (14.4)19 (16.5)24 (14.2)
Personal research on CHCeYes338 (70.3)142 (72.8)84 (72.4)112 (65.9)0.297
No143 (29.7)53 (27.2)32 (27.6)58 (34.1)
Severity of CHC diseasefNot serious32 (6.7)17 (8.8)11 (9.6)4 (2.4)0.020
Rather serious251 (52.6)104 (53.6)64 (55.7)83 (49.4)
Very serious194 (40.7)73 (37.6)40 (34.8)81 (48.2)
Knowledge of the availability of new treatmentsg Very knowledgeable103 (21.8)46 (24.0)31 (27.0)26 (15.7)0.119
Fairly well informed243 (51.4)93 (48.4)53 (46.1)97 (58.4)
Uninformed127 (26.8)53 (27.6)31 (27.0)43 (25.9)
Knowledge of chances of healing with older treatmentsYes295 (62.1)118 (61.1)70 (61.4)107 (63.7)0.87
No180 (37.9)75 (38.9)44 (38.6)61 (36.3)
Knowledge of chances of healing with new treatmentsYes341 (71.9)132 (69.1)89 (77.4)120 (71.4)0.291
No133 (28.1)59 (30.9)26 (22.6)48 (28.6)
Living with CHC in societyDifficult to live in society261 (56.7)109 (59.6)66 (57.4)86 (53.1)0.474
Easy to live in society199 (43.3)74 (40.4)49 (42.6)76 (46.9)
Need to talk with people with CHCVery often9 (1.9)3 (1.6)2 (1.8)4 (2.5)0.722
Often46 (9.9)21 (11.2)10 (8.8)15 (9.2)
Occasionally141 (30.4)53 (28.3)31 (27.2)57 (35.0)
Not at all268 (57.8)110 (58.8)71 (62.3)87 (53.4)
Speak freely about CHC with friendsYes326 (68.3)123 (64.1)75 (65.2)128 (75.3)0.051
No151 (31.7)69 (35.9)40 (34.8)42 (24.7)
Entourage uncomfortable since their knowledge of the CHCYes, they are uncomfortable73 (15.4)24 (12.6)19 (16.7)30 (17.9)0.032
None is uncomfortable307 (64.9)118 (61.8)72 (63.2)117 (69.6)
No, because nobody knows93 (19.7)49 (25.7)23 (20.2)21 (12.5)

N = 481 excluding genotype and stage of fibrosis unknown

aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol

bBMI> 25 kg/m2

cPatients hospitalized for alcohol dependence or currently receiving substitution treatment

d"Uninformed" regroups "rather uninformed" and "very badly informed"

eExcept the physician’s information

f”Not serious” regroups "Not serious at all" and "Rather not matter"

g“Uninformed” regroups "Rather uninformed" and "Very badly informed"

N = 481 excluding genotype and stage of fibrosis unknown aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol bBMI> 25 kg/m2 cPatients hospitalized for alcohol dependence or currently receiving substitution treatment d"Uninformed" regroups "rather uninformed" and "very badly informed" eExcept the physician’s information f”Not serious” regroups "Not serious at all" and "Rather not matter" g“Uninformed” regroups "Rather uninformed" and "Very badly informed" Regarding the information about CHC, the majority of patients were in Paris (46%), had been screened for HCV through routine health check-ups (54%), and had a genotype-1 virus (65%). The distribution of centers and physicians, and the treatment history, varied according to fibrosis stage: the majority of F0-F1 and F2 patients were enrolled in Paris (53% and 45%, respectively), whereas the majority of F4 patients were enrolled in Montpellier (42%) (p = 0.001); 67% F0-F1 and 34% of F3-F4 were treatment-naïve (p<0.0001). Regarding diseases other than CHC, 37% of patients reported severe comorbidities, 42% were overweight (BMI>25 kg/m2), and 11% had psychiatric disorders. Thirty-two percent of patients had alcohol dependence and 42% reported a personal history of injection or nasal drug use. The percentages of patients who were overweight, patients who engaged in drug use, and especially patients with alcohol dependence, increased with fibrosis stage: 21% of F0-F1 vs. 49% of F3-F4 had alcohol dependence (p<0.0001).

Perception of the disease, level of information, and living with CHC

For 67% of patients (Table 1), the perceived progression of CHC between infection and the day of interview was very or rather comforting (83% among F0-F1 vs. 43% among F3-F4, p<0.0001). When looking ahead to years to come, 53% perceived CHC progression as very or rather comforting (58% among F0-F1 vs. 48% among F3-F4, p = 0.08). By contrast, the disease was perceived as very serious in 41% of patients (38% among F0-F1 vs. 48% among F3-F4, p = 0.02). Regarding knowledge of treatments, 73% felt informed about the availability of new treatments, 62% reported having knowledge about the chances of recovery with older treatments (72% with regard to new treatments), without any difference according to stage of fibrosis. For 57% of patients it was difficult to live with CHC in society. Thirty-two percent of patients said they spoke freely about their CHC disease with their friends (36% among the F0-F1 vs. 25% for F3-F4, p = 0.05). Finally, 15% of patients felt that their entourage had been uncomfortable since finding out about their CHC status (13% among the F0-F1 vs. 18% for F3-F4), whereas 20% reported that members of their entourage did not know about their CHC (26% for F0-F1 vs. 12% for F3-F4).

Estimation of utilities and their determinants

The mean EQ-5D utility was 0.80, while mean VAS values were 68.8 for overall health and 44.7 for overall fatigue. In univariate analyses (Table 2), mean EQ-5D utility decreased with: older age (≥0.80 before 65 years old vs. 0.72 at 65–70 years old); lower levels of education (0.85 in patients with bachelor level vs. 0.75 in those without); being unemployed (0.86 for those working vs. 0.73 for those not working); having children (0.84 in patients without children vs. 0.79 in those with children). Mean EQ-5D utility also varied according to reference center, according to physician, and according to screening context. It also decreased both as the stage of fibrosis advanced (0.83 in F0-F1 and 0.82 in F2 vs. 0.76 in F3-F4) and in the presence of other diseases.
Table 2

Determinants of HRQoL: Univariate analysis.

VariableClassEQ-5DP valueVAS HealthP valueVAS fatigueP value
GenderMale0.810.19769.00.94742.90.226
 Female0.7968.846.1
Age18–490.810.02868.20.74744.80.717
 50–540.8168.147.2
 55–590.8469.343.7
 60–640.8071.741.2
 65–700.7267.444.5
Place of birthFrance0.800.92270.20.01945.20.339
 Abroad0.8065.042.3
EducationNo bachelor level0.75< .000165.70.00347.50.038
 Bachelor level0.8571.642.0
WorkYes0.86< .000172.9< .000141.60.017
 No0.7364.047.9
ChildrenYes0.790.02968.20.20245.70.090
 No0.8471.240.3
CentersParis0.86< .000172.30.00539.40.002
 Lille0.7565.449.3
 Montpellier0.7666.248.6
PhysicianA0.830.00266.30.17351.10.009
 B0.7365.447.2
 C0.7064.058.5
 D0.8670.040.0
 E0.8775.830.0
 F0.8672.142.8
 G0.8372.235.5
 H0.9172.432.5
 I0.7666.248.6
Screening contextHealth check-up0.820.01569.20.05042.60.076
 Medical follow-up0.8776.039.2
 Blood donation0.7568.446.6
 Persistent fatigue0.7964.551.0
Fibrosis stageF0-F10.830.01973.30.00242.00.316
 F20.8266.446.4
 F3-F40.7665.845.9
Genotype10.810.57670.00.22744.20.961
 2.30.7867.744.9
 4.5.60.8065.645.1
Treatment-naïveNaïve0.810.29970.30.15341.60.029
 Non-naïve0.7967.547.3
Severe comorbiditiesaYes0.75< .000165.30.00746.90.175
No0.8370.943.1
OverweightbYes0.770.00768.00.43247.80.039
No0.8269.542.2
Psychiatric disordersYes0.730.0159.20.00158.30.001
No0.8170.142.8
Injection or nasal drug useYes0.820.17368.30.62345.90.354
No0.7969.343.4
Alcohol Use DisorderscYes0.790.31268.00.56346.90.227
No0.8169.343.4
Perceived progression of CHC between infection and todayVery comforting0.88< .000180.2< .000131.3< .0001
Rather comforting0.8471.942.2
Rather worrying0.7361.054.3
Very worrying0.6655.351.1
Perceived future progression of CHCVery comforting0.87< .000176.3< .000133.5< .0001
Rather comforting0.8371.140.8
Rather worrying0.7967.147.9
Very worrying0.6655.563.4
Level of informationdInformed0.820.00170.40.00143.40.038
Uninformed0.7259.851.3
Personal research on CHCeYes0.810.32468.60.68345.40.285
No0.7969.542.3
Severity of CHC diseasefNot serious0.800.02570.10.17236.00.131
Rather serious0.8370.543.9
Very serious0.7766.746.7
Knowledge of the availability of new treatmentsgVery knowledgeable0.810.00872.9< .000142.40.066
Fairly well informed0.8370.942.8
Uninformed0.7561.349.7
Knowledge of chances of healing with older treatmentsYes0.820.00570.50.03243.80.515
No0.7766.245.6
Knowledge of chances of healing with new treatmentsYes0.820.00870.50.00744.00.577
No0.7664.645.7
Living with CHC in societyDifficult to live in society0.770.00564.80.00351.0< .0001
Easy to live in society0.8372.039.6
Need to talk with people with CHCVery often0.820.30757.50.03951.30.005
Often0.7867.344.2
Occasionally0.7865.951.2
Not at all0.8271.140.8
Speak freely about CHC with friendsYes0.800.50669.70.20144.20.758
No0.8167.045.1
Entourage uncomfortable since their knowledge of the CHCYes, they areuncomfortable0.710.00159.2< .000158.2< .0001
Noone is uncomfortable0.8372.241.2
No, because nobody knows0.8065.644.4

aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol

bBMI>25 kg/m2

cPatients hospitalized for alcohol dependence or currently receiving substitution treatment

d“Uninformed” groups together “rather uninformed” and “very badly informed”

eExcept the physician’s information

f“Not serious” groups together “not serious at all” and “mostly not serious”

g“Uninformed” groups together “rather uninformed” and “very badly informed”

aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol bBMI>25 kg/m2 cPatients hospitalized for alcohol dependence or currently receiving substitution treatment d“Uninformed” groups together “rather uninformed” and “very badly informed” eExcept the physician’s information f“Not serious” groups together “not serious at all” and “mostly not serious” g“Uninformed” groups together “rather uninformed” and “very badly informed” Mean EQ-5D utility decreased along with worse perceptions of CHC progression between infection and the day of enrollment (from 0.88 when very reassuring to 0.66 when very worrying), and of future progression of CHC (from 0.87 when very reassuring to 0.66 when very worrying). Moreover, it also decreased both when patients were not informed about CHC (from 0.82 to 0.72), and with a worse perception of CHC disease (from 0.80 to 0.77). Mean EQ-5D utility also increased with the level of knowledge of the availability of new treatments (from 0.75 to 0.83) and of the chances of healing with new treatments (from 0.76 to 0.82); the utilities were higher when patients were informed. Finally, mean EQ-5D was lower when the perception of life in society with CHC was difficult (0.77 vs. 0.83 when easy), and also when the feeling of the entourage was uncomfortable (0.71 vs. 0.83 when no one was uncomfortable). Regarding VAS, similar associations were found (Table 2) except that age was not associated either with general health and fatigue, or with the severity of the CHC disease. Moreover, as general health and fatigue deteriorated, the need to talk with people with CHC increased. Finally, genotype, drug use and alcohol dependence did not affect either mean EQ-5D utilities or mean VAS values for overall health and fatigue. In multivariate analysis (Table 3), after adjustment on socio-demographic variables (gender, age, place of birth, education) and cluster effects (center and physician), EQ-5D utility remained significantly associated with being unemployed (0.80 for patients working vs. 0.72 for those not working), with the presence of severe comorbidities (0.79 without vs. 0.72 with comorbidities), with being overweight (0.78 without vs. 0.73 with overweight), and with a CHC progression perceived as rather or very worrying (from 0.84 for patients feeling CHC progression was very reassuring, to 0.66 for patients feeling it was very worrying).
Table 3

Determinants of HRQoL: Multivariate analysis.

VariableClassEQ5D (N = 420)P valueVAS health (N = 416)P valueVAS fatigue (N = 416)P value
GenderMale0.78 (0.73–0.82)0.02260.9 (56.7–65.1)0.51250.1 (42.1–58.2)0.059
Female0.74 (0.69–0.78)59.6 (55.8–63.5)55.0 (47.5–62.6)
Age18–490.74 (0.70–0.79)0.61757.8 (53.4–62.2)0.15553.4 (45.3–61.6)0.573
50–540.74 (0.69–0.80)57.7 (53.1–62.3)56.2 (47.9–64.6)
55–590.78 (0.73–0.83)58.6 (53.7–63.4)52.5 (43.7–61.3)
60–640.76 (0.71–0.82)62.9 (57.4–68.5)49.8 (40.3–59.3)
65–700.75 (0.69–0.81)64.3 (58.3–70.4)50.9 (41.1–60.7)
Place of birthFrance0.75 (0.71–0.79)0.52862.8 (59.2–66.3)0.01753.9 (46.5–61.4)0.350
Abroad0.76 (0.71–0.81)57.8 (53.2–62.4)51.2 (42.8–59.6)
EducationNo bachelor level0.74 (0.69–0.78)0.04159.9 (55.9–63.9)0.68953.3 (45.5–61.1)0.567
Bachelor level0.78 (0.73–0.82)60.7 (56.6–64.7)51.8 (44.0–59.7)
WorkYes0.80 (0.75–0.84)0.00163.8 (59.5–68.0)0.001
No0.72 (0.67–0.76)56.8 (52.9–60.7)
Fibrosis stageF0-F162.7 (58.2–67.1)0.039
F256.9 (52.3–61.5)
F3-F461.2 (57.0–65.4)
Severe comorbiditiesaYes0.72 (0.67–0.77)< .000157.7 (53.7–61.8)0.008
No0.79 (0.75–0.84)62.8 (58.9–66.7)
OverweightbYes0.73 (0.69–0.78)0.01755.3 (47.6–63.1)0.031
No0.78 (0.74–0.82)49.8 (41.9–57.7)
Psychiatric disordersYes57.0 (51.2–62.7)0.02358.3 (48.6–67.9)0.004
No63.6 (60.8–66.4)46.9 (40.1–53.7)
Perceived progression of CHC between infection and todayVery comforting0.84 (0.78–0.90)< .000171.2 (65.2–77.1)< .000141.6 (31.4–51.8)< .0001
Rather comforting0.82 (0.77–0.86)64.8 (61.2–68.4)50.5 (43.0–58.0)
Rather worrying0.72 (0.67–0.77)54.2 (49.6–58.7)61.1 (53.0–69.3)
Very worrying0.66 (0.59–0.73)51.0 (44.4–57.5)57.1 (46.6–67.6)
Need to talk with people with CHCVery often57.4 (38.6–76.1)0.027
Often47.2 (37.9–56.6)
Occasionally56.7 (49.7–63.7)
Not at all49.1 (42.9–55.3)
Entourageuncomfortable since their knowledge of CHCYes, they are uncomfortable57.1 (51.8–62.3)0.00359.5 (50.4–68.7)0.001
Noone is uncomfortable64.7 (61.0–68.3)46.7 (39.2–54.1)
No, because nobody knows59.1 (54.2–64.0)51.5 (42.6–60.4)

aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol

bBMI>25 kg/m2

aDiabetes, non-liver related transplant, psychiatric disorders, drug addiction / alcohol bBMI>25 kg/m2 Regarding VAS for health and fatigue, similar results were found, except that VAS deteriorated significantly in the presence of psychiatric disorders and for patients feeling that their entourage felt uncomfortable since finding out about their CHC status. Moreover, general health was significantly lower for patients in F2 (56.9) compared to those in F0-F1 (62.7) and F3-F4 (61.2).

Discussion

This is the first study conducted in France to assess QoL in a large sample of patients affected by CHC. We found that EQ-5D utility values, as well as overall health and fatigue assessed by VAS, were mainly influenced by socio-demographic characteristics (unemployment), by comorbidities (including overweight), and by individual perceptions about CHC progression, rather than by the clinical characteristics of CHC (fibrosis stage, genotype, treatment-naïve status). Although the stage of fibrosis significantly affects EQ-5D in univariate analysis, it was not found to be an independent factor of HRQoL. Similarly, Hsu et al [17,18] did not find an association between HRQoL and the stage of fibrosis, and emphasized the greater impact of socio-demographic variables on HRQoL. It was not surprising to find that unemployment, overweight, psychiatric disorders, and comorbidities decrease HRQoL. Unemployment was also found to be significantly associated with decreased HRQoL by Pol et al [13]. Multiple studies found an association between each of those comorbidities and decreased HRQoL [26-28]. In our study, over a third of patients reported comorbidities such as diabetes, arterial hypertension, chronic kidney disease, or hemophilia. During the interview, patients reporting comorbidities were systematically asked to directly compare the severity of CHC with that of other comorbidities (N = 222). Forty-four percent felt that CHC was more severe than their other comorbidities, 36% felt CHC was as severe, but 20% felt CHC was less severe than other comorbidities (not shown). These results suggest that the eradication of HCV after treatment will not necessarily improve the HRQoL of those patients with comorbidities and emphasize a need for active therapeutic interventions regarding these comorbidities. Patients perception on CHC disease was found to be associated with HRQoL. This perception was principally related to the stage of fibrosis. Patients who saw their disease progress to F3-F4 at the moment of this study were obviously more worried than those at F0-F2. However, despite minimal fibrosis, F0-F1 patients were also found to be worried (17% seeing CHC disease as rather or very worrying). Indeed, as stated by others, HRQoL also decreases along with patients' anxiety regarding the evolution of their disease [29] which may be unrelated to fibrosis stage. For example, we found that HRQoL was also impacted by the feeling of the entourage. In a large proportion of patients, the entourage was unware of the CHC status or, when knowing it, felt uncomfortable. In these cases, these feelings may contribute to a sense of isolation on the part of the patient; again regardless to the fibrosis stage. Our study has some limitations. First, it was conducted in only three reference centers. These were deliberately chosen to yield a geographically comprehensive representation of patients in France. Despite this limitation, patients’ characteristics were representative of CHC patients in France, with a majority of men, an average age of around 54, and two-thirds of patients with genotype 1 [30]. Second, we used the EQ-5D instrument to assess the self-reported HRQoL of patients because it is a commonly used generic measure of health that is recommended for analyzing cost-effectiveness [31,32]. However, it was reported not to be very sensitive to variations in HRQoL [32-33]. Therefore we added more sensitive measurement instruments with two visual analogue scales on overall health and fatigue. As in previous studies, the main results based on EQ-5D utility were similar to those obtained with the more sensitive VAS scores. Finally, our study took place over the year 2014; one may consider that the patients knowledge of new DAA at that time where less than today. Thus, a study conducted today may in particular result into patients with higher quality of lives. In conclusion, factors such as the perceived progression of CHC, the need among patients to share the experience of their disease by talking with other CHC sufferers, and a patient's entourage being uncomfortable in the knowledge of their CHC diagnosis, significantly impact HRQoL, but not the fibrosis stage. These variables should be considered when providing care to HCV patients and deciding which subgroup of patients should be treated. The presence of comorbidities, frequent in patients with HCV disease, was also associated with HRQoL. This may imply that the eradication of HCV does not necessarily improve the HRQoL of patients who continue to live with other diseases.
  29 in total

Review 1.  Quality of life in hepatitis C.

Authors:  Edna Strauss; Maria Cristina Dias Teixeira
Journal:  Liver Int       Date:  2006-09       Impact factor: 5.828

2.  Detecting alcoholism. The CAGE questionnaire.

Authors:  J A Ewing
Journal:  JAMA       Date:  1984-10-12       Impact factor: 56.272

3.  Chronic hepatitis C virus infection: does it really impact health-related quality of life? A study in rural Egypt.

Authors:  Michaël Schwarzinger; Sahar Dewedar; Claire Rekacewicz; Khaled Mahmoud Abd Elaziz; Arnaud Fontanet; Fabrice Carrat; Mostafa Kamal Mohamed
Journal:  Hepatology       Date:  2004-12       Impact factor: 17.425

4.  Health-related quality of life in active injecting drug users with and without chronic hepatitis C virus infection.

Authors:  Olav Dalgard; Atle Egeland; Kjell Skaug; Kostas Vilimas; Tore Steen
Journal:  Hepatology       Date:  2004-01       Impact factor: 17.425

5.  Improved cognitive function as a consequence of hepatitis C virus treatment.

Authors:  H H Thein; P Maruff; M D Krahn; J M Kaldor; D J Koorey; B J Brew; G J Dore
Journal:  HIV Med       Date:  2007-11       Impact factor: 3.180

6.  Quality of life in hemodialysis patients: hepatitis C virus infection makes sense.

Authors:  Baris Afsar; Rengin Elsurer; Siren Sezer; Nurhan F Ozdemir
Journal:  Int Urol Nephrol       Date:  2009-05-09       Impact factor: 2.370

7.  Impairment of health-related quality of life in patients with chronic hepatitis C is associated with insulin resistance.

Authors:  Takuya Kuwashiro; Toshihiko Mizuta; Yasunori Kawaguchi; Shinji Iwane; Hirokazu Takahashi; Noriko Oza; Satoshi Oeda; Hiroshi Isoda; Yuichiro Eguchi; Iwata Ozaki; Keizo Anzai; Kazuma Fujimoto
Journal:  J Gastroenterol       Date:  2013-03-16       Impact factor: 7.527

8.  Predicted effects of treatment for HCV infection vary among European countries.

Authors:  Sylvie Deuffic-Burban; Pierre Deltenre; Maria Buti; Tommaso Stroffolini; Julie Parkes; Nikolai Mühlberger; Uwe Siebert; Christophe Moreno; Angelos Hatzakis; William Rosenberg; Stefan Zeuzem; Philippe Mathurin
Journal:  Gastroenterology       Date:  2012-08-02       Impact factor: 22.682

9.  Impact of chronic liver disease and cirrhosis on health utilities using SF-6D and the health utility index.

Authors:  Amy A Dan; Jillian B Kallman; Ragini Srivastava; Zahra Younoszai; Amy Kim; Zobair M Younossi
Journal:  Liver Transpl       Date:  2008-03       Impact factor: 5.799

10.  "They treated me like a leper". Stigmatization and the quality of life of patients with hepatitis C.

Authors:  Susan Zickmund; Evelyn Y Ho; Masahiro Masuda; Laura Ippolito; Douglas R LaBrecque
Journal:  J Gen Intern Med       Date:  2003-10       Impact factor: 5.128

View more
  7 in total

1.  Clinical and Patient-Reported Outcomes of Direct-Acting Antivirals for the Treatment of Chronic Hepatitis C Among Patients on Opioid Agonist Treatment: A Real-world Prospective Cohort Study.

Authors:  Bernd Schulte; Christiane S Schmidt; Jakob Manthey; Lisa Strada; Stefan Christensen; Konrad Cimander; Herbert Görne; Pavel Khaykin; Norbert Scherbaum; Stefan Walcher; Stefan Mauss; Ingo Schäfer; Uwe Verthein; Jürgen Rehm; Jens Reimer
Journal:  Open Forum Infect Dis       Date:  2020-08-13       Impact factor: 3.835

2.  Association of exercise participation levels with cardiometabolic health and quality of life in individuals with hepatitis C.

Authors:  Kate Hallsworth; Shion Gosrani; Sarah Hogg; Preya Patel; Aaron Wetten; Rachael Welton; Stuart McPherson; Matthew D Campbell
Journal:  BMJ Open Gastroenterol       Date:  2021-03

3.  Treatment-Resistant Depression in a Real-World Setting: First Interim Analysis of Characteristics, Healthcare Resource Use, and Utility Values of the FondaMental Cohort.

Authors:  Antoine Yrondi; Djamila Bennabi; Emmanuel Haffen; Delphine Quelard; Ludovic Samalin; Julia Maruani; Etienne Allauze; Damien Pierre; Thierry Bougerol; Vincent Camus; Thierry D'Amato; Olivier Doumy; Jérôme Holtzmann; Christophe Lançon; Fanny Moliere; Rémi Moirand; Isabel Nieto; Raphaëlle Marie Richieri; Mathilde Horn; Laurent Schmitt; Florian Stephan; Jean-Baptiste Genty; Guillaume Vaiva; Michel Walter; Philippe Courtet; Marion Leboyer; Pierre-Michel Llorca; Sophie Marguet; Nathalie Dennis; Dominique Schaetz; Wissam El-Hage; Bruno Aouizerate
Journal:  Brain Sci       Date:  2020-12-10

4.  Quality of life and unmet needs in patients with chronic liver disease: A mixed-method systematic review.

Authors:  Lea Ladegaard Grønkjær; Mette Munk Lauridsen
Journal:  JHEP Rep       Date:  2021-09-28

5.  Chronic hepatitis D associated with worse patient-reported outcomes than chronic hepatitis B.

Authors:  Maria Buti; Maria Stepanova; Adriana Palom; Mar Riveiro-Barciela; Fatema Nader; Luisa Roade; Rafael Esteban; Zobair Younossi
Journal:  JHEP Rep       Date:  2021-03-17

6.  Increased cardiovascular risk and reduced quality of life are highly prevalent among individuals with hepatitis C.

Authors:  Stuart McPherson; Shion Gosrani; Sarah Hogg; Preya Patel; Aaron Wetten; Rachael Welton; Kate Hallsworth; Matthew Campbell
Journal:  BMJ Open Gastroenterol       Date:  2020-08

7.  Quality of life among patients with autoimmune hepatitis in remission: A comparative study.

Authors:  Atsushi Takahashi; Masanori Abe; Tetsuya Yasunaka; Teruko Arinaga-Hino; Kazumichi Abe; Akinobu Takaki; Takuji Torimura; Mikio Zeniya; Kaname Yoshizawea; Jong-Hon Kang; Yoshiyuki Suzuki; Nobuhiro Nakamoto; Ayano Inui; Atsushi Tanaka; Hajime Takikawa; Hiromasa Ohira
Journal:  Medicine (Baltimore)       Date:  2020-10-23       Impact factor: 1.817

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.