Background and rationale {6a}

Hepatitis C (HCV) virus is a hepatotropic virus which infects and multiplies in hepatocytes. A large proportion of those who acquire HCV infection fails to clear the virus naturally and progress to develop chronic HCV infection [1]. Unchecked HCV hepatitis, in a sizeable proportion, may progress to liver cirrhosis and hepatocellular carcinoma [2], both of which are potentially fatal conditions. The HCV infection is treated with orally acting drugs called direct-acting antivirals (DAAs). These DAAs are effective against certain genotypes (genotype-specific regimen) or all genotypes (pan-genotypic regimen) [3].

Globally, an estimated 71 million people live with HCV infection, accounting for approximately 399,000 annual deaths [4]. Pondering the huge public health importance of HCV-related morbidity and mortality, the World Health Assembly endorsed the Global Health Sector Strategy (GHSS) for 2016–2021 on viral hepatitis, which proposes to eliminate viral hepatitis as a public health threat by 2030 [5].

Our recent work systematic review of Indian data on HCV seroprevalence showed that it ranges between 0.4% and 1.0% in the country [6]. We also estimated that approximately 5.0 million people, not belonging to the groups at high risk of acquiring HCV infection, are anti-HCV positive [7]. Over 88% of the HCV burden in India is buried in low-risk general population [7]. Unsafe injections are the most common route of HCV transmission in these low-risk general population [8].

To abide with the targets set by WHO to achieve the elimination of HCV, Government of India has recently launched a public-funded program named “National Viral Hepatitis Control Program (NVHCP)”. However, the wider objective of the program is to prevent and control all viral hepatitis (Hepatitis A, Hepatitis B, Hepatitis C, and Hepatitis E) but it focuses primarily on HCV. The national guidelines for laboratory testing, diagnosis, and treatment are already in place, and the treatment has been started for a large number of patients.

Data from disease modelling has shown that the mass treatment of HCV will be cost-effective and cost saving [9]. Further, at the current costs, the pan-genotypic anti-HCV regimen is cost neutral to genotype-specific regimen [10]. The cost-effectiveness may further be enhanced if the treatment duration can be reduced from 12 to 8 weeks.

HCV infection is treated with DAAs. These DAAs are orally administered and are highly safe and effective. Sofosbuvir/velpatasvir for 12 weeks is the most widely used DAAs for HCV treatment. This combination successfully clears the virus in ~95% in the non-cirrhotic population. One of the major bottlenecks in successful HCV treatment is the need for “12 weeks duration” of treatment. Long-duration of treatment poses logistic issues of maintaining the drug supply, poor drug compliance, and increased cost of therapy. Hence, efforts are made to reduce the treatment duration without compromising effectiveness.

Few small observational studies, which have used different DAA combinations, have shown that the treatment outcome with 8 weeks of duration is comparable to 12 weeks of therapy [11–17]. Till date, we do not have any randomized controlled trial comparing the 8 versus 12 weeks of sofosbuvir/velpatasvir combination for HCV treatment. The results of the proposed study may reduce the treatment duration as well as the cost of therapy.

Objectives {7}

Study setting {9}

Five tertiary care teaching hospitals located in various parts of India will participate in the study for data collection. Each of the participating centres will enrol at least 80 participants. Total sample size is 880 participants (440 x 2 arms). The participating centres are (i) Department of Gastroenterology, King George Medical University, Lucknow, India (www.kgmu.org) (ii) Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India (www.sgpgims.ac.in) (iii) Department of Gastroenterology, Institute of Medical Sciences, Banaras Hindu University, Lucknow, India (www.bhu.ac.in/ims/) (iv) Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India (www.aiims.edu) and (vi) Department of Gastroenterology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi, India (http://gbpant.delhigovt.nic.in).

Our protocol is registered with Clinical Trial Registry of India (http://ctri.nic.in; CTRI/2022/03/041368).

The data analysis will be conducted by the Centre for Chronic Conditions and, Injuries, Public Health Foundation of India, Gurgaon, India (www.phfi.org/iiph-delhi/).

Eligibility criteria {10}

Interventions

Outcomes {12}

Primary outcome measure. The proportion of participants who have undetectable HCV RNA after 12 weeks of stopping the antiviral drugs (SVR12). Quantitative assay of HCV RNA will be done using COBAS® AmpliPrep/COBAS® TaqMan® HCV quantitative Test, v2.0 (Roche, Branchburg, NJ, USA), with the lower limit of detection of 15 IU/mL. We have chosen SVR12 as a primary outcome measure because it has been widely accepted as a standard measure to define the success of HCV treatment. We will primarily do a per-protocol analysis.

Secondary outcome measure. The proportion of participants who complete planned 8 weeks or 12 weeks of treatment. We have selected this outcome to know whether the shorter course of treatment will improve adherence to anti-HCV treatment.

Participant timeline {13}

The proposed timeline is summarized in Fig 1.

Download:

• PPT
  PowerPoint slide
• PNG
  larger image
• TIFF
  original image

Fig 1. Proposed time line for the enrolment, interventions, and assessment of the participants in study.

https://doi.org/10.1371/journal.pone.0285725.g001

Sample size {14}

We assumed the virological response in the reference group (12 weeks) is 95% and in the experiment group (8 weeks) as 90%, with a non-inferiority margin of 5%, power 90% and level of significance 2.5%, with a one-tailed alternative hypothesis. The required sample size is estimated as 400 participants in each arm. Assuming a 10% loss to follow-up, we raised the estimated sample size to 440 participants in each arm and a total study size of 880. We calculated sample size for per-protocol analysis.

Recruitment {15}

We will be actively looking for HCV-positive patients visiting our OPD. All the participating centres are high-volume centres and likely enrol the required number of participants without much difficulty.

Sequence generation {16a}

Computer-generated sequence, block randomization, a block size of 4, 6, and 8, 1:1 ratio of allocation in two arms.

Concealment mechanism {16b}

The sequence will be generated by the statistician (AA) and the generated sequence will be known to him only. Each of the generated sequence will be given a unique code. Participants in either of the five institute will have access to the serially listed unique codes but not the allocated treatment arm.

Implementation {16c}

The allocation to a treatment arm in five canters will be coordinated between the trial coordinator, study centre investigator, and the statistician through WhatsApp or another similar medium. All the information about the patient’s enrolment will be kept updated on excel sheet shared via google drive. Once a patient is found eligible and consented to participation in any centre, the study site PI will ask for the treatment arm by sharing the next available unique code. The treatment arm will be disclosed by the statistician.

Who will be blinded {17a}

It is an open label study and no one will be blinded after the allocation of treatment arm.

Procedure for unblinding if needed {17b}

Not applicable for our study.

Plans for assessment and collection of outcomes {18a}

All the data will be captured in a predefined data collection form (DCF). The outcome will be assessed with serological testing of quantitative HCV RNA assay. Blood specimen collected in Co-PI’s centres will be stored, at -80° C and transported periodically to the PI’s institute (Sanjay Gandhi Postgraduate Institute of Medical Sciences). All the serological testing (HCV RNA and HCV genotyping) will be done in SGPGI only. The HCV RNA will be measured in serum with a standard commercially available quantitative assay with a lower limit of detection at <15 IU/mL.

HCV genotyping will be done with two-step, in -house method.

Plans to promote participant retention and complete follow-up {18b}

We have adopted the following mechanisms to improve the adherence and timeliness in follow-up (i) bottles of the drug will be labelled with their date for next visit and contact number (ii) a trial coordinator will be in touch with all the participants till they have completed their follow-up (iii) a phone call will be given, by the trial coordinator to the study participants, about a weeks before each of their planned visit.

For those who were lost to follow-up, we will contact them on the phone on at least five different days over a period of 30 days.

Data management {19}

All the data will be captured in a predefined data collection form (DCF). The data will be originally entered in a physical DCF. The research staff of each centre will be trained about screening, enrolment, consent, blood sample collection, and storage before the enrolment of the first participant from their centre. Scanned copy of the DCF will be shared with the trial coordinator. Each centre will enter the data from DCF to a common excel sheet which will be shared via google drive. The data, entered in the excel sheet, will be cross-checked by the trial coordinator. Trial coordinator will also monitor the follow-up of the study participants as well as the collection of blood specimen. The trial coordinator will also contact the participants from all the five participating centres to verify and cross-check the data.

Confidentiality {27}

Research data will be stored using each participant’s identification details. The data will be started in form of physical copy of the data collection as well as in excel sheet. The data will be kept protected and assessable to the PI (Dr Amit Goel), four Co-PI, and the statistician only. Dall the relevant document will be stored for seven years according to the research guidelines after the study is completed. Details of the patient’s identity will not be reported in the publication.

Plans for collection, laboratory evaluation and storage of biological specimens for genetic or molecular analysis in this trial/future use {33}

In addition to the PI’s institute (SGPGI), four other participating centres will also collect blood specimens from each participant. The blood specimens will be collected at baseline, at 4 weeks after start of treatment and for SVR12. Blood specimen collected in Co-PI’s centres will be stored, at -80° C, after proper labelling and serum separation. The stored specimen will be transported in dry ice, periodically to the PI’s institute (SGPGI). All the serological testing (HCV RNA and HCV genotyping) will be done in SGPGI only. The HCV RNA will be measured in serum with a standard commercially available quantitative assay which will have lower limit of detection at <15 IU/mL.

HCV genotyping will be done with two-step, in -house method. In brief, HCV RNA will be extracted using QIAamp Viral RNA Mini Kits (QIAGEN, Hilden, Germany) from serum and subjected to reverse-transcription using high-capacity cDNA RT Kit with RNAse inhibitor (Thermo Fisher Scientific, Massachusetts, United States) followed by amplification of DNA with PCR using primers corresponding to 5’UTR and NS5B regimens. The amplification products will be cleaned and subjected to Sanger sequencing using the BigDye Terminator version 3.1 dye chemistry on an ABI 3130 Genetic Analyzer (Applied Biosystems, Foster City, CA, USA) in both directions. The merged sequences will be aligned with reference sequences of various HCV genotypes retrieved from the GenBank database [http://www.ncbi.nlm.nih.gov/nucleotide], and a phylogenetic tree will be generated using MEGA 7 software and UPGMA method to identify the genotype.

The left-over sera will be stored at -80° C for future studies, if any.

Statistical methods for primary and secondary outcomes {20a}

Categorical data will be expressed as proportion and ratio. Numerical data will be checked for nature of distribution and will be expressed as either mean±SD (if normally distributed) or median with interquartile range (if not normal distributed). The groups will be compared using non-parametric test of significance. The level of significance will be kept at p<0.05.

Interim analyses {21b}

One interim analyses of the data will be done when the 12-week follow-up of the 50% of the required sample size is completed. If the proportion of participants who have achieved SVR12, between the two arms differ by more than 10%, then the study will be considered for pre-mature termination. The results will be communicated to the institute’s research committee. Their permission will be taken before the continuation of the study. We will use O’Brien and Fleming approach to conserve alpha in the interim analysis [18].

Methods for additional analyses (e.g. subgroup analyses) {20b}

We will attempt subgroup analysis based on (i) HCV genotype 3 versus non-3 genotype and (ii) HCV viral load <6.0 million IU/mL versus ≥6 million IU/mL.

Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data {20c}

The primary analysis will be per protocol analysis and will be aimed to include all participants in the arm they were originally allocated to. Missing value imputation will be used to handle missing data using all available baseline information. Sensitivity analyses will be performed to investigate the potential impact of missing data by using a pre-specified conservative multiple imputation strategy and a complete case analysis. We will do imputation only if more than 10% of values are missing [19].

Plans to give access to the full protocol, participant level-data and statistical code {31c}

Full-protocol and patient level data can be accessed from the PI (AG). The access will be provided after obtaining necessary approval from the institute’s ethic committee.

Composition of the coordinating center and trial steering committee {5d}

The trial will be coordinated by the PI who is working in Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India. The entire trial will be supervised by the PI and coordinated by the trial coordinator, who will also be stationed in Sanjay Gandhi Postgraduate Institute of Medical Sciences.

Composition of the data monitoring committee, its role and reporting structure {21a}

We do not have any data monitoring committee. The data will be supervised by the PI.

Adverse event reporting and harms {22}

Data on all the self-reported adverse effects (AE) will be collected. The severity of AE will be graded from 1 to 5 according to the criteria laid by Common Terminology Criteria for Adverse Events (CTCAE) v5.0 [20]. Any AE of grade 3 or more will be reported as severe adverse effect (SAE) and will lead to discontinuation of drugs. Though we do not expect any adverse events because we are neither using a new drug nor altered the dose or route of administration. We have only reduced the treatment duration.

Frequency and plans for auditing trial conduct {23}

We have no plan for auditing of trial conduct. Though, the trial will be constantly monitored by the PI.

Plans for communicating important protocol amendments to relevant parties (e.g. trial participants, ethical committees) {25}

Any amendment in protocol will be communicate din writing to both, the institute etic committee and the funding agency.

Ethics approval and consent to participate {24}

Study was approved from the Institutional Ethics Committee of Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow IEC Code: 2021-310-EMP-124 on 7^th March 2022 through letter no PGI/BE/84/2022. Study is also approved by AIIMS, New Delhi as well as KGMU, Lucknow. It is under review in two other centres. Written, informed consent to participate will be obtained from all participants.

Consent for publication {32}

Written informed consent will be taken by the participants. The information about the possible publication of anonymized data is given in patient information documents (PID). The sample format of consent form and PID can be provided if needed.