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Quality of Life Measurement in Treatment Naïve Patients With Hepatitis C Virus (HCV) Genotype 1 (GT1) Suffering From Fatigue and Receiving Ombitasvir, Paritaprevir, and Ritonavir and Dasabuvir (Viekirax®/Exviera®)

Quality of Life Measurement Using Wrist Actigraphy in HCV Genotype 1 Infected, Treatment naïve Patients Suffering From Fatigue and Receiving Ombitasvir, Paritaprevir, and Ritonavir Tablets and Dasabuvir Tablets (Viekirax®/Exviera®; 3D Regimen): The HEMATITE Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03002818
Acronym
HEMATITE
Enrollment
41
Registered
2016-12-26
Start date
2017-03-01
Completion date
2018-04-25
Last updated
2019-10-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Hepatitis C Virus (HCV)

Keywords

Chronic Hepatitis C (HCV), Genotype 1, Paritaprevir, Ritonavir, ombitasvir, Dasabuvir, Sustained Virological Response

Brief summary

This is an observational, prospective, open-label, single-arm, multicenter, real-life study designed to observe the impact of paritaprevir/ritonavir/ombitasvir with dasabuvir regimen (Viekirax®/Exviera®, 3D regimen) on total daytime physical activity and fatigue in participants with HCV GT1.

Interventions

None listed

Sponsors

AbbVie
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

* Treatment-naïve participants * Mono-infected participants with chronic HCV GT1 * Non-cirrhotic participants * Participants with debilitating fatigue (Fatigue Severity Scale \[FSS\] greater than or equal to 4)

Exclusion criteria

* Participants with sources of fatigue other than HCV (especially, severe depression, cancer and hormonal disorders causing clinically significant fatigue) * Participants with conditions that do not allow to adhere to protocol and use of the device at investigator's discretion * Participants who are wheelchair dependent

Design outcomes

Primary

MeasureTime frameDescription
Change From Baseline at Day 168 in Mean Daytime Physical ActivityBaseline, Day 168Mean daytime physical activity for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link), which measures activity via a 3-axis algorithm. For total daytime physical activity, the measured counts of the activity tracker data minus total sleep counts were used as day-counts. Higher day-counts signify more activity.

Secondary

MeasureTime frameDescription
Change From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreBaseline, Days 28, 84, 168The FSS is a 9-item questionnaire assessing the functional impact of fatigue during the past two weeks on multiple life domains using scales from 1 (strongly disagree) to 7 (strongly agree). The fatigue score is the mean score of the 9 items, with lower scores indicating less fatigue severity. Clinically significant fatigue is usually defined as score equal or above 4. Changes were calculated by the formula Baseline minus Day 28, Day 84, or Day 168. Therefore the resulting negative values reflect deterioration and resulting positive values reflect improvement.
Change From Baseline Over Time in Sleep EfficiencyBaseline, Days 28, 84, 168Sleep efficiency for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link). Sleep efficiency was defined as the percent of time scored as sleep during the sleep period, from 0% to 100%. Changes were calculated by the formula Baseline minus Day 28, Day 84, or Day 168. Therefore the resulting negative values reflect deterioration and resulting positive values reflect improvement.
Correlation Coefficients of FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline, Days 28, 84, 168The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.
Change From Baseline Over Time in Mean Daytime Physical ActivityBaseline, Days 28, 84, 168Mean daytime physical activity for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link), which measures activity via a 3-axis algorithm. For total daytime physical activity, the measured counts of the activity tracker data minus total sleep counts were used as day-counts. Higher day-counts signify more activity.
Correlation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline, Days 28, 84, 168The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.
Correlation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: mITT PopulationBaseline, Days 28, 84, 168The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.
Percentage of Participants With Sustained Virologic Response 12 Weeks (SVR12) Post-TreatmentDay 168 (or 12 weeks after the last dose of study drug)SVR12 defined as hepatitis C virus ribonucleic acid (HCV RNA) not detectable 12 weeks after the last actual dose of paritaprevir/ritonavir/ombitasvir with dasabuvir regimen (Viekirax®/Exviera®, 3D regimen).
Correlation Coefficients of FSS and Mean Daytime Physical Activity: mITT PopulationBaseline, Days 28, 84, 168The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.

Countries

Switzerland

Participant flow

Participants by arm

ArmCount
HCV Genotype 1 Participants
Participants receiving paritaprevir/ritonavir/ombitasvir with dasabuvir (Viekirax®/Exviera®, 3D regimen)
41
Total41

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyDecision of the investigator1

Baseline characteristics

CharacteristicHCV Genotype 1 Participants
Age, Continuous49.4 years
STANDARD_DEVIATION 12.7
Fatigue Severity Scale (FSS)
mITT Population
5.94 score on a scale
STANDARD_DEVIATION 0.67
Fatigue Severity Scale (FSS)
sdITT Population
5.95 score on a scale
STANDARD_DEVIATION 0.61
Mean Daytime Physical Activity
mITT Population
1513166 day-counts
STANDARD_DEVIATION 410686
Mean Daytime Physical Activity
sdITT Population
1469569 day-counts
STANDARD_DEVIATION 405329
Race/Ethnicity, Customized
Caucasian
41 Participants
Sex: Female, Male
Female
27 Participants
Sex: Female, Male
Male
14 Participants
Sleep Efficiency
mITT Population
89.8 percent of time asleep
STANDARD_DEVIATION 3.76
Sleep Efficiency
sdITT Population
89.4 percent of time asleep
STANDARD_DEVIATION 4.58

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 41
other
Total, other adverse events
9 / 41
serious
Total, serious adverse events
0 / 41

Outcome results

Primary

Change From Baseline at Day 168 in Mean Daytime Physical Activity

Mean daytime physical activity for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link), which measures activity via a 3-axis algorithm. For total daytime physical activity, the measured counts of the activity tracker data minus total sleep counts were used as day-counts. Higher day-counts signify more activity.

Time frame: Baseline, Day 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (MEAN)Dispersion
HCV Genotype 1 ParticipantsChange From Baseline at Day 168 in Mean Daytime Physical ActivityChange at Day 168: sdITT Population-108266 day-countsStandard Deviation 313859
HCV Genotype 1 ParticipantsChange From Baseline at Day 168 in Mean Daytime Physical ActivityChange at Day 168: mITT Population-98373 day-countsStandard Deviation 325138
Comparison: sdITT (n=26): Change at Day 168 minus Baselinep-value: 0.09195% CI: [-235037, 18504]one-sample t-test
Comparison: mITT (n=24): Change at Day 168 minus Baselinep-value: 0.15295% CI: [-235667, 38921]one-sample t-test
Comparison: sdITT (n=26): Baseline vs. Day 168p-value: 0.091paired t-test
Comparison: mITT (n=24): Baseline vs. Day 168p-value: 0.152paired t-test
Secondary

Change From Baseline Over Time in Fatigue Severity Scale (FSS) Score

The FSS is a 9-item questionnaire assessing the functional impact of fatigue during the past two weeks on multiple life domains using scales from 1 (strongly disagree) to 7 (strongly agree). The fatigue score is the mean score of the 9 items, with lower scores indicating less fatigue severity. Clinically significant fatigue is usually defined as score equal or above 4. Changes were calculated by the formula Baseline minus Day 28, Day 84, or Day 168. Therefore the resulting negative values reflect deterioration and resulting positive values reflect improvement.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (MEAN)Dispersion
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 28: sdITT Population0.69 score on a scaleStandard Deviation 1.01
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 28: mITT Population0.85 score on a scaleStandard Deviation 1.06
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 84: sdITT Population1.68 score on a scaleStandard Deviation 1.54
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 84: mITT Population1.76 score on a scaleStandard Deviation 1.64
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 168: sdITT Population2.60 score on a scaleStandard Deviation 1.62
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Fatigue Severity Scale (FSS) ScoreChange at Day 168: mITT Population2.82 score on a scaleStandard Deviation 1.52
Comparison: sdITT: mean change Baseline minus Day 16895% CI: [2.063, 3.137]
Comparison: mITT: mean change Baseline minus Day 16895% CI: [2.212, 3.428]
Comparison: sdITT (n=37): Baseline vs. Day 168p-value: <0.001Paired Wilcoxon Test
Comparison: mITT (n=24): Baseline vs. Day 168p-value: <0.001Paired Wilcoxon Test
Comparison: sdITT (n=35): Baseline vs. Day 28p-value: <0.001Paired Wilcoxon Test
Comparison: mITT (n=22): Baseline vs. Day 28p-value: <0.001Paired Wilcoxon Test
Comparison: sdITT (n=36): Baseline vs. Day 84p-value: <0.001Paired Wilcoxon Test
Comparison: mITT (n=23): Baseline vs. Day 84p-value: <0.001Paired Wilcoxon Test
Secondary

Change From Baseline Over Time in Mean Daytime Physical Activity

Mean daytime physical activity for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link), which measures activity via a 3-axis algorithm. For total daytime physical activity, the measured counts of the activity tracker data minus total sleep counts were used as day-counts. Higher day-counts signify more activity.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (MEAN)Dispersion
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 28: sdITT Population26990 day-countsStandard Deviation 211108
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 28: mITT Population21422 day-countsStandard Deviation 215104
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 84: sdITT Population-6448 day-countsStandard Deviation 198441
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 84: mITT Population-13020 day-countsStandard Deviation 197825
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 168: sdITT Population-108266 day-countsStandard Deviation 313859
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Mean Daytime Physical ActivityChange at Day 168: mITT Population-98373 day-countsStandard Deviation 325138
Comparison: sdITT (n=34): Baseline vs. Day 28p-value: 0.461paired t-test
Comparison: mITT (n=24): Baseline vs. Day 28p-value: 0.63paired t-test
Comparison: sdITT (n=32): Baseline vs. Day 84p-value: 0.855paired t-test
Comparison: mITT (n=24): Baseline vs. Day 84p-value: 0.75paired t-test
Secondary

Change From Baseline Over Time in Sleep Efficiency

Sleep efficiency for 2 eligible weeks (10 working days) prior to the assessment day was derived from a wrist-worn activity tracker (ActiGraph GT9X Link). Sleep efficiency was defined as the percent of time scored as sleep during the sleep period, from 0% to 100%. Changes were calculated by the formula Baseline minus Day 28, Day 84, or Day 168. Therefore the resulting negative values reflect deterioration and resulting positive values reflect improvement.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (MEAN)Dispersion
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 28: mITT Population-0.44 percent of time asleepStandard Deviation 2.68
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 84: mITT Population0.01 percent of time asleepStandard Deviation 2.98
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 28: sdITT Population-0.87 percent of time asleepStandard Deviation 2.5
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 84: sdITT Population-0.06 percent of time asleepStandard Deviation 2.81
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 168: sdITT Population0.61 percent of time asleepStandard Deviation 3.28
HCV Genotype 1 ParticipantsChange From Baseline Over Time in Sleep EfficiencyChange at Day 168: mITT Population0.74 percent of time asleepStandard Deviation 3.37
Comparison: sdITT: mean change Baseline minus Day 16895% CI: [-0.651, 1.871]
Comparison: mITT: mean change Baseline minus Day 16895% CI: [-0.608, 2.088]
Comparison: sdITT (n=37): Baseline vs. Day 168p-value: 0.381Paired Wilcoxon Test
Comparison: mITT (n=24): Baseline vs. Day 168p-value: 0.304Paired Wilcoxon Test
Comparison: sdITT (n=35): Baseline vs. Day 28p-value: 0.014Paired Wilcoxon Test
Comparison: mITT (n=22): Baseline vs. Day 28p-value: 0.278Paired Wilcoxon Test
Comparison: sdITT (n=36): Baseline vs. Day 84p-value: 0.881Paired Wilcoxon Test
Comparison: sdITT (n=23): Baseline vs. Day 84p-value: 0.775Paired Wilcoxon Test
Secondary

Correlation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: mITT Population

The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (NUMBER)
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: mITT PopulationBaseline minus Day 280.135 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: mITT PopulationBaseline minus Day 84-0.065 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: mITT PopulationBaseline minus Day 1680.169 Spearman correlation coefficient
Secondary

Correlation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: sdITT Population

The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (NUMBER)
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline minus Day 280.228 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline minus Day 84-0.044 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of Change From Baseline Over Time in FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline minus Day 1680.195 Spearman correlation coefficient
Secondary

Correlation Coefficients of FSS and Mean Daytime Physical Activity: mITT Population

The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (NUMBER)
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: mITT PopulationBaseline0.253 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: mITT PopulationDay 280.386 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: mITT PopulationDay 84-0.058 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: mITT PopulationDay 1680.128 Spearman correlation coefficient
Secondary

Correlation Coefficients of FSS and Mean Daytime Physical Activity: sdITT Population

The relationship between the parameters FSS and mean total daytime physical activity as well as for the changes of these parameters between baseline and follow-up visits was analyzed. Given a lake of normal distribution for the FSS data Spearman correlation coefficients were calculated.

Time frame: Baseline, Days 28, 84, 168

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets. Participants with an assessment at given time point.

ArmMeasureGroupValue (NUMBER)
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: sdITT PopulationBaseline0.300 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: sdITT PopulationDay 280.131 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: sdITT PopulationDay 84-0.022 Spearman correlation coefficient
HCV Genotype 1 ParticipantsCorrelation Coefficients of FSS and Mean Daytime Physical Activity: sdITT PopulationDay 1680.195 Spearman correlation coefficient
Secondary

Percentage of Participants With Sustained Virologic Response 12 Weeks (SVR12) Post-Treatment

SVR12 defined as hepatitis C virus ribonucleic acid (HCV RNA) not detectable 12 weeks after the last actual dose of paritaprevir/ritonavir/ombitasvir with dasabuvir regimen (Viekirax®/Exviera®, 3D regimen).

Time frame: Day 168 (or 12 weeks after the last dose of study drug)

Population: ITT population: participants who received 3D regimen treatment at least once; scale down ITT (sdITT) population: excluded participants who discontinued or had missing tracker data for all study visits; modified ITT (mITT) population: excluded participants with only partial tracker data sets.

ArmMeasureGroupValue (NUMBER)
HCV Genotype 1 ParticipantsPercentage of Participants With Sustained Virologic Response 12 Weeks (SVR12) Post-TreatmentITT Population97.6 percentage of participants
HCV Genotype 1 ParticipantsPercentage of Participants With Sustained Virologic Response 12 Weeks (SVR12) Post-TreatmentsdITT Population97.3 percentage of participants
HCV Genotype 1 ParticipantsPercentage of Participants With Sustained Virologic Response 12 Weeks (SVR12) Post-TreatmentmITT Population95.8 percentage of participants

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026