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. 2026 Mar 11;6(3):e0006082. doi: 10.1371/journal.pgph.0006082

Sensitivity and specificity of Dried Blood Spot and Plasma Separation Card samples for Hepatitis C Virus RNA Testing

Agnes Malobela 1,*, Marie Amougou-Atsama 2, Panagiotis Iliopoulos 3, Jean-Claude Mugisha 4, Nino Berishvili 5, Manana Sologashvili 6, Emmanuel Fajardo 1, Francois Lamoury 1, Aurélien Macé 1, Maxwell Chirehwa 7, Richard Njouom 2, Angelos Hatzakis 3, Jules Kabahizi 4, Claude Mambo Muvunyi 8, Penny Buxton 9, Sadaf Mohiuddin 9, Maia Alkhazashvili 5, Elena Ivanova Reipold 1,*
Editor: Guillaume Fontaine10
PMCID: PMC12978484  PMID: 41811908

Abstract

Dried blood spots (DBS) and plasma separation cards (PSC) have the potential to improve access to hepatitis C virus (HCV) testing. This multicenter study evaluated the performance of two HCV RNA assay platforms using capillary or venous DBS and PSC.

Participants were enrolled in Cameroon, Rwanda, Georgia, and Greece. DBS and PSC prepared from capillary and venous blood samples were collected from three target populations; individuals at risk of HCV infection, persons living with HCV, and individuals previously treated for HCV. The diagnostic accuracy of DBS and PSC for detecting HCV RNA was assessed using the cobas HCV nucleic assay on the cobas 4800 and cobas 6800 platforms (Roche), with plasma samples tested using these platforms serving as the reference standard.

A total of 936 participants were enrolled. Capillary, venous DBS and venous PSC demonstrated high diagnostic accuracy. Sensitivity and specificity were 97.2% (95% CI: 95.2–98.3) and 88.6% (95%CI: 85.4 –91.2) for capillary DBS, 96.1% (95%CI: 93.9 –97.5) and 87.8% (95%CI: 85.4 –90.4) for venous DBS and 95.2% (95%CI: 92.8 –96.8) and 99.6% (95%CI: 98.5 –99.9) for venous PSC, on the cobas 4800. The cobas 6800 platform had a sensitivity and specificity of 97.3% (95%CI: 95.4 –98.5) and 95.9% (95%CI: 93.7 –97.3) on venous DBS, 96.7% (95%CI: 94.6 –98.0) and 99.8% (95%CI: 98.8 – 100) on venous PSC, and 96.9% (95%CI: 94.8 –98.1) and 99.8% (95%CI: 98.8 – 100) on capillary PSC. The diagnostic accuracy of capillary and venous DBS and PSC for detecting HCV RNA was high on the two platforms evaluated.

This study demonstrates that DBS and PSC sample types can be an alternative to plasma to screen for HCV infection, thus facilitating access to testing.

Importance

Although the use of point-of-care rapid antibody tests for hepatitis C virus (HCV) is increasing, people who test positive must still undergo a confirmatory test before receiving treatment. Confirmatory testing for HCV RNA can be performed using plasma, serum, or capillary whole blood, depending on the available diagnostic platforms and testing algorithms. Plasma samples are more commonly used; however, their collection, storage, transport, and handling can pose significant challenges in low-resource settings. To improve access to HCV testing, there is a need for alternative sample types. Blood samples dried on filter paper cards (dried blood spots, or DBS) can be collected at the community level, have low biohazard risk, can withstand exposure to ambient temperatures, and are easily stored and shipped. Plasma Separation Cards (PSC), which collect plasma rather than whole blood, have similar properties. This study demonstrated that the diagnostic accuracy of DBS and PSC for detecting HCV RNA using the Roche cobas 4800 and 6800 platforms was high, confirming that they could be viable alternatives to plasma sampling for HCV testing.

Introduction

An estimated 58 million people had chronic hepatitis C virus (HCV) infection worldwide in 2019 [1]. Due to limited access to HCV screening and diagnosis services, many persons living with HCV living in low- and middle-income countries (LMICs) are unaware of their status [2,3]. As part of efforts to tackle access to HCV testing barriers, the decentralized use of rapid HCV antibody (Ab) testing has increased in recent years [4]. Nevertheless, any person receiving an HCV Ab positive (Ab+) test result must receive an HCV RNA confirmation test. There are existing confirmatory tests that may use capillary blood for HCV confirmation testing such as the GeneXpert Cepheid assay [5–7]. This requires infrastructure to collect, store, transport, and handle plasma samples, as well as laboratories manned by highly-qualified technicians and equipped with technology to run nucleic acid amplification tests (NAAT) [1]. Hence, in some LMICs, HCV RNA testing might be available only in major cities and centralized laboratories.

Production of scientific evidence to simplify HCV diagnostic algorithms is paramount for further decentralization of HCV testing and integration with other routine care provision, with the aim of reaching global targets for HCV elimination by 2030 [4,8]. To simplify testing, alternatives to plasma samples are required. Whole blood collected and dried in a filter paper card (i.e., Dried Blood Spots or DBS) is a viable sampling alternative, as DBS can be collected at community level, have low biohazard risk, can withstand prolonged exposure to ambient temperatures, and can be easily stored and shipped to NAAT-equipped testing sites [9]. The use of cobas Plasma Separation Cards (PSC) (Roche, Switzerland) is another alternative. PSC share many features with DBS, but they collect plasma rather than whole blood. PSC may help overcome certain limitations of DBS such as interference from pro-viral DNA and intracellular RNA in whole blood, and inadequate lower limits of detection due to suboptimal volumes of viral RNA [10].

The diagnostic accuracy of various HCV RNA tests performed on DBS has been evaluated [11–13]. A systematic review of HCV RNA test performance from DBS samples demonstrated a pooled sensitivity of 98% and specificity of 98% [11]. Catlett et al (2022) also reported higher sensitivity and specificity for HCV RNA detection using DBS, particularly when analyses were restricted to samples above the limit of quantification [14].

The performance of PSC for HCV RNA and serological markers detection was demonstrated as comparable to that of conventional plasma and serum samples [ 12,15]. The utility of PSC for the determination of serological markers for HCV and for hepatitis B virus (HBV) among rural and economically-disadvantaged populations has been reported [13,16]. However, many of these diagnostic accuracy studies have been conducted at a single center and have not considered the impact of handling DBS or PSC at ambient temperatures.

To assess how viable DBS and PSC are as alternative sampling methods to increase HCV testing uptake by populations in LMICs, there is a need to consider the effect of the environment from the point of sample collection to the point of testing. To the best of our knowledge no studies have evaluated both DBS and PSC concurrently, however both DBS and PSC are considered in the literature as plausible alternatives for HCV RNA detection [12,17,18]. We conducted a multicenter study in four LMICs with differing HCV epidemiological profiles with the aim of evaluating the diagnostic accuracy of the cobas 4800 and cobas 6800 HCV RNA testing assays (Roche) performed on DBS and PSC samples transported at ambient temperatures, when compared with the standard HCV RNA method using plasma samples. This study was designed to use manufacturer-validated protocols for collection, handing and use of DBS and PSC samples and generated data contributed to the World Health Organization (WHO) updated recommendations on HCV simplified delivery and diagnostics [1].

Materials and methods

Study design

This diagnostic accuracy study was designed, conducted and reported in accordance with the Standards for Reporting of Diagnostic Accuracy Studies (STARD) guidelines [ 19]. This study was registered on clinicaltrials.gov (NCT03896087), and it was part of a large-scale evaluation of the accuracy of different HCV RNA assays and platforms using DBS. The clinical study was initially registered on 14 March 2019 on ClinicalTrials.gov with Registration number NCT03896087 available here: Study Details | Evaluation of Dried Blood Spot for HCV RNA Testing | ClinicalTrials.gov.

Inclusivity in global research

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in the Supporting Information (S1 Checklist).

Ethics approval and consent to participate

The study was conducted in accordance with the Declaration of Helsinki, and approved by institutional review boards in Cameroon, Comite National d’ethique de la recherche pour la sante Humaine (CNERSH) - (N°2019/04/1157/CE/CNERSH/SP), Georgia, National Centre for Disease Control and Public Health Institutional Review Board - (IRB# 2018–047 and IRB# 2019–019 for Protocol N°8160–2/1), Greece, The Institutional Review Board of the Hellenic Scientific Society for the Study of AIDS and Sexually Transmitted Diseases (EEEEAIDS) - (Protocol N°121) and Rwanda by the Rwanda National Ethics Committee (RNEC) - (N°121/RNEC/2020 and N°328/RNEC/2019). Written informed consent was obtained from all participants involved in the study.

Study period and sites

The study was conducted between May 2019 and October 2020 in four sites located in four countries with differing HCV prevalence. These were: the Centre Pasteur du Cameroun (CPC) in Yaoundé (Cameroon) with recruitment beginning on 17 June 2019 and ending on 18 Oct 2019; HEPA Plus, a harm reduction center in Tbilisi (Georgia) with recruitment beginning on 07 May 2019 and ending on 25 Sep 2019; the Hellenic Scientific Society for the Study of AIDS and Sexually Transmitted Diseases (EEEEAIDS) in Athens (Greece) with recruitment beginning on 05 Sep 2019 and ending on 17 Dec 2019; the Rwanda Military Hospital (RMH) in Kigali (Rwanda) with recruitment beginning on 05 April 2020 and ending on 24 Sep 2020. The countries were selected according to their potential capacity for scaling up DBS protocols. Site selection considered (i) the use of high-throughput molecular platforms already in use for HIV viral load testing, along with the overall capacity of the system to absorb additional volumes and (ii) governmental readiness to adopt DBS protocols off-label before regulatory approval.

CPC and RMH primarily serve the general population, whereas Hepa Plus and EEEEAIDS provide services to people who inject drugs (PWID). Sample collection was performed by trained laboratory technicians (Cameroon and Rwanda) or by trained nurses and doctors in community-based harm reduction centres (Georgia, Greece).

Study population and sample size

Three groups were included:

  • ‘HCV at-risk’: Adults with past and/or current exposure to risk factors, as per WHO [20] and Centres for Disease Control and Prevention (CDC) [21] guidelines.

  • ‘Anti-HCV Ab+’: Adults with a documented positive anti-HCV antibody serology result who had not initiated HCV treatment.

  • ‘HCV treated’: Adults previously treated with direct-acting antiviral (DAA) therapy and attending follow-up or test of cure visits.

A total sample of >815 participants was calculated to achieve 85% sensitivity, 95% specificity, and 80% power,(±5% precision), including at least 400 HCV RNA-positive and 415 HCV RNA-negative individuals. Sample size calculations were informed by the systematic reviews conducted by Lange et al. and Tejada-Strop et al. Lange et al. reported pooled sensitivity and specificity estimates for HCV RNA testing using DBS of 98% (95% CI: 95–99) and 98% (95% CI: 95–99), respectively [11]. In contrast, Tejada-Strop et al. reported sensitivity values as low as 88% [22]. Based on these findings, a conservative assumption of an average sensitivity of 85% and specificity of 95% was applied for the present study. To estimate sensitivity with a 95% confidence interval and a ± 5% margin of error at 80% power, a minimum of 400 participants with detectable HCV RNA was required. For specificity, 415 HCV RNA–negative samples were needed to achieve a 95% confidence interval with a ± 3% margin of error and 80% power.

Recruitment and consent

Participants were consecutively recruited from clinical databases of “anti-HCV Ab+” group (Cameroon, Georgia and Rwanda) or walk-in clients at study sites (Georgia and Greece). Authorized staff screened anonymized registers to identify eligible individuals. Informed consent was obtained before enrolment, and participants retained the right to withdraw at any time. In Greece, in addition to inviting PWID visiting the EEEEAIDS to participate, participants were also recruited through a parallel cross-sectional study researching the prevalence of HIV and HCV among PWID in Athens [23].

Sample collection and processing

Information on consenting participants’ demographics, exposure to risk factors, medical history, HIV status, and HBV and HCV serology test results (if known) were documented prior to specimen collection.

At each site, capillary blood obtained by fingerstick was used to prepare six capillary DBS (70µl each) and one capillary PSC (140µl each) per participant. DBS and PSC capillary specimens were collected using graduated EDTA-coated capillary tubes. For DBS, 50–100 µL tubes were used (approximately 70 µL per spot), while 140 µL EDTA capillary tubes were used for PSC collection. The collection procedures were identical for both specimen types. Due to the limited volume of capillary blood that can be taken from one participant within one visit, the sample types evaluated differed by assay platform. Capillary and venous DBS, as well as venous PSC, were assessed only on the cobas 4800, whereas capillary PSC, venous PSC, and venous DBS were evaluated exclusively on the cobas 6800.

All samples were left at room temperature to dry overnight, and then sealed with desiccants, a humidity card and stored at room temperature. Each participant also provided 25 mL of venous blood, which was collected in EDTA (lavender cap) tubes. At each site’s laboratory, eleven venous DBS and three venous PSC were prepared from these 25 mL venous blood using automatic pipetting. Within six hours from collection, and following the preparation of the DBS and PSC, venous blood was centrifuged and, subsequently, aliquots of 1 mL of plasma were prepared and stored at −70°C or lower.

Sample transport

All DBS and PSC were stored at ambient temperature, in order to simulate real-life conditions, and sent to a central laboratory in Australia within 7 days of collection. A temperature monitoring device was included in each shipment, and a humidity card was included in each sealed bag containing DBS and PSC. Plasma aliquots were shipped in dry ice within one month of collection.

Upon arrival at the central laboratory in Australia, DBS and PSC samples were stored at 2–8°C and plasma aliquots were stored at −70°C or lower until testing.

Sample testing

Within one week of arrival in Australia, capillary and venous DBS and venous PSC were tested for HCV RNA on the cobas 4800 platform at the Royal Hobart Hospital in Hobart (Tasmania), and venous DBS and capillary and venous PSC were tested for HCV RNA on the cobas 6800 platform at the National Reference Serology Laboratory in Melbourne (Victoria).

The tests were performed according to the manufacturers’ instructions [24]. At least one negative and one positive manufacturer-supplied control were included in each run of each test.

Samples yielding invalid or discordant results were retested using a second aliquot or, when available, an alternative DBS or PSC specimen from the same participant. Only one repeat test was performed per sample. The reference standard results were available to the performers of the index tests, and vice versa. However, while the index tests were performed within 7 days of arrival in Australia, the reference tests on plasma were performed in batches within more than one month of sample collection.

Statistical analysis

The primary endpoints of the analysis were sensitivity and specificity, which were calculated by comparing the results of the HCV RNA tests performed on DBS and PSC in both cobas platforms, with the results of HCV RNA tests performed on plasma samples using the same platforms. Sensitivity and specificity were calculated with 95% confidence intervals (95% CI) using the detection thresholds of the reference assay, with a limit of detection of 15 IU/mL for both cobas 4800 and cobas 6800.

The number of DBS PSC results that were discordant with those of the reference plasma samples, and the results of repeating testing of these samples, were recorded.

To evaluate the quantitative performance of the HCV RNA assays performed on DBS and PSC using the cobas platforms, assay results within the linear range were compared with the results of each assay performed on a paired plasma specimen using log10 transformed values. Data were displayed using scatter plots, and analyzed using Deming regression, with the assumption that the measurement errors from both assays were independent and normally distributed. Bland-Altman plots were generated to assess bias and agreement.

Descriptive statistics were used to describe the study population. All analyses were performed using the statistical software R (R Foundation for Statistical Computing, Vienna, Austria, version 3.6). P-values <0.05 were considered statistically significant.

Management of invalid results

Invalid results were excluded from the sensitivity and specificity analyses. The rate of invalid results was calculated using the indeterminate results in the first testing, by calculating the total numbers of tests without a positive or negative result (result indeterminate) on each cobas platform (S4 Table).

Results

Characteristics of the study population

HCV RNA testing was performed on samples provided by 936 consenting participants (Figs 1 and 2). Their median age was 47 years (18–98) and 67% were male (Table 1). Of the total, 84% (n = 720) had an anti-HCV Ab+ profile at the point of enrollment. Almost one in five participants (n = 159, 17%) had received treatment for HCV in the past 12 months. In Georgia and Greece, over 99% of participants (n = 485, 52% of total sample) had a history of non-prescription, injecting drug use. In Cameroon and Rwanda, 0% and 5% (n = 9, 1% of total sample) of participants had a history of drug consumption, respectively.

Fig 1. Study population and study flow diagram.

Fig 1

 + , positive; − , negative; Ab, antibody; HCV, hepatitis C virus on the Roche cobas 6800.

Fig 2. Eligible capillary, venous plasma separation card and venous dried blood spots, along with paired samples analysed for sensitivity and specificity on the Roche cobas 6800.

Fig 2

The figure displays the number of eligible capillary, venous plasma separation card and venous dried blood spots, as well as the number of paired samples analysed to assess sensitivity and specificity. *Indeterminate on initial testing.

Table 1. Participants characteristics by site/country.

Georgia

(n = 270)
Cameroon

(n = 249)
Greece

(n = 218)
Rwanda

(n = 199)
Total

(n = 936)
Sex
 Female 18 (6.7) 144 (57.8) 34 (15.4) 113 (56.8) 309 (33.0)
 Male 252 (93.3) 105 (42.2) 184 (84.4) 86 (43.2) 627 (67.0)
Median age (range), years 43 (18–69) 63 (21–98) 40.5 (19–69) 55 (22–95) 47 (18–98)
Positive anti-HCV antibody 181 (67.0) 249 (100) 155 (76.4) 135 (100.0) 720 (84.0)
Persons living with HIV 3 (1.1) 2 (0.8) 17 (7.8) 15 (7.6) 37 (4.0)
Source of infection
 HCV positive mother 0 (0.0) 3 (1.2) 0 (0.0) 30 (15.1) 33 (3.5)
 Injecting non-prescription drug 269 (99.6) 0 (0.0) 216 (99.1) 9 (4.5) 494 (52.8)
Treated for HCV in past 12 months
 No 270 (100) 182 (73.1) 185 (84.9) 136 (68.7) 773 (82.7)
 Yes 0 (0.0) 67 (26.9) 32 (14.7) 60 (30.3) 159 (17.0)
Detectability of HCV RNA in plasma†
 Undetectable 148 (54.8) 97 (39.0) 121 (55.5) 109 (54.8) 475 (50.8)
 Detectable 122 (45.2) 152 (61.0) 97 (44.5) 89 (44.7) 460 (49.2)

Data are number (%) unless otherwise indicated.

† Plasma samples tested using the Roche platforms were used as the clinical reference standard.

HCV, hepatitis C virus; HIV, human immunodeficiency virus.

Diagnostic accuracy of DBS and PSC samples by platform

The cobas 4800 platform had a sensitivity and specificity of 97% (95% CI: 95 – 98) and 89% (95% CI: 85 – 91) using capillary DBS samples, 96% (95% CI: 94 – 98) and 88% (95% CI: 85 – 90) using venous DBS samples, and 95% (95% CI: 93 – 97) and 100% (95% CI: 99 – 100) using venous PSC samples (Table 2). The cobas 6800 platform had a sensitivity and specificity of 97% (95% CI: 95 – 99) and 96% (95% CI: 94 – 97) using venous DBS samples, 97% (95% CI: 95 – 98) and 100% (95% CI: 99 – 100) using venous PSC samples, and 97% (95% CI: 95 – 98)and 100% (95% CI: 99 – 100) using capillary PSC samples (Table 3). Site-disaggregated performance of the cobas 4800 and the cobas 6800 is shown in S2 and S3 Tables.

Table 2. Diagnostic accuracy of capillary DBS, venous DBS and venous PSC for detecting HCV RNA using the Roche HCV nucleic acid assay and Roche cobas 4800 platform.

Sample type Sensitivity (%),

(95% CI)
Specificity (%),

(95% CI)
Capillary DBS 97.2

(95.2 – 98.3)
88.6

(85.4 – 91.2)
Venous DBS 96.1

(93.9 – 97.5)
87.8

(84.5 – 90.4)
Venous PSC 95.2

(92.8 – 96.8)
99.6

(98.5 – 99.9)

+, positive; − , negative; 95% CI, 95% confidence interval; DBS, dried blood spot; PSC, plasma separation card.

Table 3. Diagnostic accuracy of venous DBS, capillary PSC and venous PSC for detecting HCV RNA using the Roche HCV nucleic acid assay and the Roche cobas 6800 platform.

Sample type Sensitivity (%)

(95% CI)
Specificity (%)

(95% CI)
Venous DBS 97.3

(95.4 – 98.5)
95.9

(93.7 – 97.3)
Capillary PSC 96.9

(94.8 – 98.1)
99.8

(98.8 – 100)
Venous PSC 96.7

(94.6 – 98.0)
99.8

(98.8 – 100)

+, positive; − , negative; 95% CI, 95% confidence interval; DBS, dried blood spot; PSC, plasma separation card.

Repeat testing of discordant results

A total of 154 samples (out of 162 that required re-testing) (S1 Table) across four countries underwent repeat testing to investigate discrepancies observed during initial HCV RNA testing. Across all sample types—venous dried blood spots (vDBS), capillary dried blood spots (cDBS), venous plasma separation cards (vPSC), and capillary plasma separation cards (cPSC)—the majority of repeat results were target not detected (S1 Table), consistent with prior reports of variability at low viral loads when using alternative specimens such as DBS and PSC.

Among vDBS samples (n = 89) (S1 Table), most initial discrepancies involved detected but non-quantifiable results or viral loads below the assay limit of quantification. Upon repeat testing, 93% (82/89) were target not detected, with only a small number 2% (2/89) producing a quantifiable viral load. Similarly, cDBS samples (n = 47) showed high concordance on repeat testing: 85% (40/47) were target not detected, confirming that many initial low-positive results likely reflected borderline viral levels near the assay’s detection threshold.

PSC samples showed similar trends but with greater variability. Repeat testing of venous PSC (vPSC) samples (n = 18) also reflected low reproducibility of initial borderline results. Although a small number of prior results were quantifiable (22–16,500 IU/mL), more than half (56%) were Target Not Detected on repeat, while 22% remained <titer and 22% produced quantifiable viral loads. For cPSC (n = 8), no repeat samples were available, limiting interpretation.

Overall, these results reinforce that discrepant low-positive results from DBS and PSC specimens are frequently not reproducible upon repeat testing. This pattern is consistent with known assay performance characteristics at low viral loads and aligns with prior literature demonstrating reduced reproducibility around the limit of quantification. These findings support cautious interpretation of isolated low-positive results when using DBS or PSC in clinical or surveillance settings.

HCV RNA levels according to sample type on the cobas 4800

On the cobas 4800, median capillary and venous DBS VL (approximately 4.1 log IU/mL; S1B and S1C Fig) and median venous PSC VL (approximately 4.3 log IU/mL; S2A Fig) were lower than the median plasma VL (5.9 log IU/mL for all sites; S1A Fig).

The mean difference between VL measured on venous DBS samples and plasma samples using the cobas 4800 platform was > 0.5 log; however, 95.1% of capillary DBS samples had a VL within 1.96 standard deviations (SD) of the plasma VL (Fig 3C). There was a strong positive linear correlation between capillary DBS VL and plasma VL (r2: 0.95, p < 0.001; Fig 3D). Similarly, there was a strong linear correlation between the VL measured on venous PSC and VL measured on plasma samples (r2: 0.93, p < 0.001, Fig 4B).

Fig 3. Bland-Altman analysis and correlation between HCV RNA levels in capillary DBS and venous DBS and plasma samples, measured using the cobas 4800 platform.

Fig 3

(A) Bland-Altman analysis on venous DBS; (B) Linear correlation on venous DBS; (C) Bland-Altman analysis on capillary DBS; (D) Linear correlation on capillary DBS. DBS, dried blood spot; HCV, hepatitis C virus; VL, viral load.

Fig 4. Bland-Altman analysis and correlation between HCV RNA levels in venous PSC and plasma samples, measured using the Roche cobas 4800 platform.

Fig 4

(A) Bland-Altman analysis; (B) Linear correlation. PSC, plasma separation cards; HCV, hepatitis C virus; VL, viral load.

HCV RNA levels according to sample type on the cobas 6800

On the cobas 6800, the median plasma VL was 6.1 log IU/mL for all sites but Greece, where the median plasma VL was 5.9 log IU/mL (S3A Fig). The median venous DBS VL was 4.3 log IU/mL, also for all sites but Greece, where a slightly lower median VL of 4.2 log IU/mL was detected (S3C Fig). The median capillary and venous PSC VL were also lower than the median plasma VL, both at approximately 4.5 IU/mL log (S4A and S4B Fig).

The mean difference between VL measured on venous DBS and plasma samples using the cobas 6800 platform was > 0.5 log; however, 96.5% of venous DBS had a VL within 1.96 SD of the plasma VL (Fig 5A). There was a strong positive linear correlation between the VL measured on venous DBS and VL measured on plasma samples (r2: 0.94, p < 0.001, Fig 5B).

Fig 5. Bland-Altman analysis and correlation between HCV RNA levels in venous DBS and venous PSC and in plasma samples measured using the cobas 6800 platform.

Fig 5

(A) Bland-Altman analysis on venous DBS; (B) Linear correlation on venous DBS; (C) Bland-Altman analysis on venous PSC; (D) Linear correlation on venous PSC. DBS, dried blood spot; PSC, plasma separation card; HCV, hepatitis C virus; VL, viral load.

Invalid rates

Invalid rates were low (<2.0%) with both DBS and PSC and on both cobas platforms (S4 Table).

Discussion

This study represents, to the best of our knowledge, the first large multicentre evaluation of the clinical diagnostic accuracy of DBS and PSC for HCV RNA detection in real-world settings. It is also the first multicentre validation of DBS and PSC-based HCV RNA testing on the Roche cobas 4800 and 6800 platforms conducted in routine clinical environments in LMICs, capturing real-world operational challenges such as temperature fluctuations, prolonged transport times, and manual punching procedures. The study demonstrated diagnostic accuracy of the Roche cobas 4800 platform (i.e., sensitivity and specificity of 97% (95% CI: 95 – 98) and 89% (95% CI: 85 – 91) using capillary DBS, 96% (95% CI: 94 – 98) and 88% (95% CI: 85 – 90) using venous DBS, and 95% (95% CI: 93 – 97) and 100% (95% CI: 99 – 100), using venous PSC) and of the Roche cobas 6800 platform (sensitivity and specificity of 97% (95% CI: 95 – 98) and 96% (95% CI: 94 – 97) using venous DBS, 97% (95% CI: 95 – 98) and 100% (95% CI: 99 – 100) using venous PSC, and 97% (95% CI: 95 – 98) and 100% (95% CI: 99 – 100) using capillary PSC). These findings suggest that using DBS and the Roche cobas PSC as sampling approaches holds promise as a substitute for plasma sampling in laboratory and clinical resource-constrained settings in LMIC. More often, plasma samples are utilised, which can be challenging to collect, store, transport and handle in low-resource countries. Inclusion of capillary whole blood–based molecular assays aligns with efforts to expand confirmatory testing accessibility in resource-limited or community-based settings. Our findings are similar to those of Vermehren et al. [25], who reported high sensitivity and strong correlation of the cobas 4800 and cobas 6800/8800 tests with other established Roche assays used in clinical practice.

In our study, the cobas 6800 performed relatively well with a high sensitivity and specificity on all sample types tested. However, the cobas 4800 had a lower specificity for capillary DBS (89%; 95% CI: 85 – 91) and venous DBS (88%; 95% CI: 85 – 90) in comparison with PSC and with the cobas 6800. These lower specificities might have been the result of cross-contamination during the preparation of capillary and venous DBS at the sites’ laboratories due to the use of perforators (i.e., the DBS were not pre-punched).

Building on Catlett et al. (2022) [14], who reported variable DBS performance at low HCV viral loads, our multicountry, real-world evaluation of the Roche cobas 4800 and 6800 assays confirms non-reproducibility of low-positive DBS results in routine LMIC settings and extends the evidence base through additional validation of plasma separation cards. Across all participating countries, repeat testing of DBS and PSC samples demonstrated a consistent pattern of non-reproducibility among initially low-positive or non-quantifiable results. Collectively, these findings show that most low-level DBS results fail to reproduce on repeat testing, reinforcing known limitations near the limit of detection and underscoring the importance of confirmatory testing when clinically feasible [26–28]. Samples that were initially reported as undetectable but later yielded high quantifiable viral loads (S1 Table) may reflect mislabeling errors that led to discrepancies between plasma and DBS or PSC results upon repeat testing. Other potential contributing factors for low level of viral load, may include inadequate cleaning of the DBS puncher, which can introduce cross-contamination—though this would not apply to PSC samples, which do not require punching.

Turnaround times between DBS collection and testing (>14 days), combined with exposure to variable temperatures (3.8–55.6°C) during shipment to Australia, may also have negatively affected specificity. Previous studies similarly reported declines in HCV RNA concentrations in DBS stored at ambient temperatures beyond six days [17,18].

On the other hand, using the cobas 4800, venous PSC showed a similar sensitivity (95%; 95% CI: 93 – 97) and a greater specificity (100%; 95% CI: 99 – 100) than capillary DBS (97% (95% CI: 95 – 98) and 89% (95% CI: 85 – 91) and venous DBS (96% (95% CI: 94 – 98) and 88% (95% CI: 85 – 90). This finding is consistent with prior smaller studies suggesting that PSC offers improved sample stability relative to DBS [ 29]. The enhanced stability of PSC likely reflects its design: plasma is separated through a porous membrane and collected on a polyester fleece impregnated with RNA stabilizers, with fewer cellular contaminants than DBS [10,18].

Finally, the strong positive linear correlations of VL measured in DBS and PSC on the cobas 4800 in comparison to plasma samples show that DBS and PSC can be used to quantify HCV VL. However, the somewhat lower VL in DBS and PSC compared with VL in plasma should be considered if DBS or PSC samples are to be used in clinical settings to guide initiation of HCV treatment in HCV-prevalent geographies where scarce health resources for HCV care warrant that clinical decision-making be based on highly-accurate diagnostic approaches. Although DBS is appropriate for genotyping and HCV RNA detection, a systematic review in 2014 already pointed out the need to carry out further investigations to assess the use of DBS for HCV RNA VL measurement [20,30]. Despite our observation with regards to lower VL level in DBS than in PSC, it should be noted that the WHO, in its 2022 updated recommendations on simplified HCV service delivery, indicated that a lower sensitivity level (with a limit of detection of 3000 IU/mL or lower) can be considered to diagnose viremic infection if an assay that can be used at the point of care and is suitable for DBS is able to improve access and/or affordability [1].

DBS holds promise to increase the demand for HCV RNA diagnostics by expanding testing access to rural, remote populations and simplifying sample collection, storage, and transportation [31]. The implementation of DBS is feasible in LMICs due to the relatively simplified sample collection process and minimal training requirements, as has been demonstrated by the use of DBS for early infant HIV diagnosis [32] or for HIV antiretroviral drug resistance [33] various LMICs. DBS can be performed at lower levels of the health system, thereby increasing the potential pool of at-risk persons that can access HCV testing. Nevertheless, as of 2021, the only WHO prequalified platform for dried samples of HCV VL is the Abbott HCV RealTime [31,34,35]. As DBS might play an increasingly large role in HCV RNA testing in LMICs and prequalification is a requirement for some LMICs to access diagnostic equipment, further efforts to build robust evidence on the diagnostic performance of other platforms using DBS are necessary. Additionally, DBS-based HCV antibody testing offers a practical and cost-effective first-line screening strategy, particularly in decentralized or resource-limited settings. Evidence shows high diagnostic performance for anti-HCV detection from DBS, with pooled sensitivity and specificity >95% [11,36]. By performing HCV RNA testing only on DBS samples that are antibody-positive, programmes can substantially reduce molecular testing costs while minimizing patient recall and loss to follow-up [14,37]. This reflex approach streamlines workflows, avoids additional blood draws, and supports scalable HCV elimination efforts across diverse populations.

In addition to using DBS to help increase awareness of HCV status in remote settings, DBS holds potential to increase testing uptake among minoritized, hard-to-reach populations such as PWID and persons who engage in sex work or in same-sex relations, who may see their rights to HCV care jeopardized in countries where they suffer the effects of stigma and of state criminalization. These populations could also see their access to HCV testing improved if the ability to self-sample could be provided. The feasibility of DBS self-sampling in home settings has been demonstrated [38] and it is an approach that – in addition to facilitating sample collection at people’s own convenience and in private – could help ensure populations can continue to access HCV testing during future pandemics or health emergency scenarios when visiting healthcare centers is challenging. DBS self-sampling should be considered as a complementary approach to the delivery of rapid HCV tests for self-testing [39], by organizations providing HCV screening and testing in community-based, mobile units targeting minoritized, hard-to-reach populations [39]. The high diagnostic accuracy of venous PSC tested using the cobas 4800 platform demonstrates the suitability of PSC for HCV RNA testing. However, PSC have higher costs than DBS, and are a commodity licensed by Roche, which will likely determine their utilization in LMICs. Additionally, while the WHO and the European Association for the Study of the Liver (EASL) guidelines support the use of DBS as an alternative to serum or plasma for HCV RNA testing, these organizations have not yet released recommendations for the use of PSC [1,40]. Future socio-economic evaluations and market studies are necessary to advice on PSC production, distribution and utilization methods that could help bring down current costs of PSC. Although the use of dried blood spots (DBS) and plasma separation cards (PSC) remains outside the instructions for use (IFU) of most commercial assays [41–43], the evidence generated through clinical performance evaluations such as this study plays a critical role in bridging the gap between research and routine diagnostic practice. Notably, Roche’s PSC has received regulatory approval for use with hepatitis C virus (HCV) RNA and HIV-1 viral load testing, highlighting the potential for broader clinical adoption of these alternative sampling approaches when supported by robust performance data [10,17,18]. Demonstrating robust concordance and acceptable sensitivity and specificity using alternative sample types provides valuable data for manufacturers seeking to extend assay claims and for regulatory authorities considering broader sample-type approval [44,45]. These findings also support advocacy efforts to encourage inclusion of DBS and PSC in kit inserts and regulatory submissions [6,46,47], thereby facilitating their adoption into routine clinical diagnostics. Ultimately, the goal is to integrate these simplified sampling approaches into standard-of-care testing pathways—without relying solely on research frameworks—to enhance diagnostic access and equity in decentralized and resource-limited settings [48].

Despite all the evidence regarding the feasibility and accuracy of DBS for confirmation of chronic HCV infection, their adoption and scale-up by LMICs is slow. The reasons for the dearth of settings with operational experience with DBS is not known. A reason might be that plasma sampling would still be necessary to assess VL levels or to carry out tests to confirm sustained virological response following patients’ completion of HCV treatment. Hence, further evaluations are needed to establish whether DBS or PSC samples can be used as an alternative to plasma for VL monitoring to identify treatment curation as well as treatment failure in individuals with low-level viremia.

At the time of writing, and to the best of our knowledge, although these data have been shared with Roche, there is no public indication that they are being considered for regulatory registration purposes. Furthermore, there is currently no indication that the studies will be repeated, despite software updates to the cobas 4800 and 6800 systems, as such efforts would require additional resources. Building on Catlett et al. (2022), who reported variable DBS performance at low HCV viral loads, our multicountry, real-world evaluation of the Roche cobas 4800 and 6800 assays confirms non-reproducibility of low-positive DBS results in routine LMIC settings and extends the evidence base through additional validation of plasma separation cards.

This study has several limitations. First, due to the limited volume of capillary blood that could be collected from a single participant during one visit, the sample types evaluated on each assay differed: capillary DBS were assessed only on the cobas 4800 platform, while capillary PSC were evaluated only on the cobas 6800 platform. Therefore, further studies comparing the performance of both PSC sample types on the cobas 4800 and both DBS types on the cobas 6800 would be valuable. One of the major challenges with DBS testing is occasional discordance at very low viral levels. These assays are highly sensitive and may detect virus that is not clinically relevant. Consequently, some DBS samples that are initially HCV RNA detectable but not quantifiable may test HCV RNA undetectable upon repeat testing. For this reason, additional analyses using the limit of quantification (i.e., HCV RNA detectable and quantifiable) can be informative. Moreover, it is generally recognized that assay performance improves at a threshold of 1,000 IU/mL. Unfortunately, the study was conducted six years ago, and no funds remain to support additional testing or post-hoc analyses. Despite this limitation, we hope the current findings still provide meaningful evidence to inform the field. Some samples (particularly those from Cameroon) were tested with significant delay due to issues with reagent shipments, which may have influenced quantitative results. The use of a pre-punched filter paper could have reduced the possibility of cross contamination, leading to an underestimation of the rate of false positive results likely to occur in clinical settings. Finally, different types of healthcare workers with varying levels of experience collected the samples at the different sites (e.g., nurses in Georgia and doctors in Greece), which may have affected the quality and amount of capillary blood by fingerstick deposited onto the DBS and PSC spots.

In conclusion, the cobas 4800 and cobas 6800 platforms performed well with DBS and PSC for the detection of HCV RNA and quantification of HCV VL. Specimens collected using DBS and PSC can serve to confirm chronic viremic HCV infection in decentralized, health resource-constrained settings. As DBS and PSC can be prepared following minimal investment in training and equipment, these sampling approaches are a feasible alternative to plasma sampling in LMICs. Utilization of DBS and PSC could impact uptake of HCV screening and accelerate access to direct-acting antivirals for the general population and for minoritized, hard-to-reach populations at increased risk of seeing their rights to HCV screening and care neglected in jurisdictions that criminalize drug consumption, sex work, or same-sex relations.

Supporting information

S1 Table. Summary of Repeat Testing Outcomes for Discordant DBS and PSC Samples.

DBS, dried blood spot; PSC, plasma separation card. vDBS, venous dried blood spot; cDBS, capillary dried blood spot; vPSC, venous plasma separation card; cPSC, capillary plasma separation card; Detectable, quantifiable viral load; < titer, detectable, non‑quantifiable, i.e., detectable signal below assay limit of quantification; Undetectable, no viral RNA detected. Indeterminate, invalid/error/no result.

(DOCX)

pgph.0006082.s001.docx (15.6KB, docx)
S2 Table. Diagnostic accuracy of dried blood spot and Plasma Separation Card samples for detecting hepatitis C virus RNA using the Roche cobas 4800 system, according to site.

CI, confidence interval; DBS, dried blood spot; PSC, plasma separation card.

(DOCX)

pgph.0006082.s002.docx (15.8KB, docx)
S3 Table. Diagnostic accuracy of dried blood spot and Plasma Separation Card samples for detecting hepatitis C virus RNA using the Roche cobas 6800 system, according to site.

CI, confidence interval; DBS, dried blood spot; PSC, plasma separation card.

(DOCX)

pgph.0006082.s003.docx (15.9KB, docx)
S4 Table. Proportion of invalid results according to assay, sample type, and site.

DBS, dried blood spot; PSC, plasma separation card.

(DOCX)

pgph.0006082.s004.docx (15.2KB, docx)
S1 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 4800 HCV assay.

(A) Plasma; (B) capillary DBS; (C) venous DBS. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. DBS, dried blood spot.

(TIF)

pgph.0006082.s005.TIF (179.7KB, TIF)
S2 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 4800 HCV assay.

(A) venous PSC. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. PSC, plasma separation card; HCV, hepatitis C virus.

(TIF)

pgph.0006082.s006.TIF (121KB, TIF)
S3 Fig. Distribution of viral load tested using the Roche cobas 6800 HCV assay.

(A) Plasma; (B) capillary PSC; (C) venous DBS. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. DBS, dried blood spot; PSC, plasma separation card; HCV, hepatitis C virus.

(TIF)

pgph.0006082.s007.TIF (172.4KB, TIF)
S4 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 6800 HCV assay.

(A) capillary PSC; (B) venous PSC. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. Abbreviations: PSC, plasma separation card dried; HCV, hepatitis C virus.

(TIF)

pgph.0006082.s008.TIF (158KB, TIF)

Acknowledgments

We thank the staff in Cameroon, Greece, Georgia, Rwanda and the National Reference Laboratory in Australia who were part of the DBS evaluation study team for conducting recruitment and testing. We also thank Luca Felica, Faustin Gasaza, and Samuel Mukendi from Abbott Molecular Diagnostics for conducting local training in the study sites. We thank Roche Molecular Systems Inc., for donating the test kits and reagents for this study. In addition, we thank Rachel Wright, PhD and Guillermo Z. Martínez-Pérez, PhD for writing assistance, language editing, and proofreading of later drafts.

Dried blood spots (DBS) and plasma separation cards (PSC) offer an alternative to plasma for hepatitis C virus (HCV) RNA testing. This multicenter study confirmed their high diagnostic accuracy on Roche cobas platforms, supporting their use in expanding HCV testing access.

Data Availability

The datasets analysed during the current study are available in the Figshare repository. Where applicable, data-sharing agreements with participating countries were established. https://figshare.com/articles/dataset/Roche_DBS_and_Plasma_Separation_Data_Set_-_HCV_RNA_Detection/29543879.

Funding Statement

This research was funded by UNITAID, grant number UA-HCV01. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Roche Diagnostics provided the reagents for testing at the Australian site - National Reference Laboratory, Victoria, Australia. FIND staff; EIR, FMJL, AM (Agnes Malobela), AM (Aurélien Mace), EF were funded through UNITAID, grant number UA-HCV01.

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0006082.r001

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29 Oct 2025

PGPH-D-25-01945

Sensitivity and Specificity of Dried Blood Spot and Plasma Separation Card Samples for Hepatitis C Virus RNA Testing

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1. Does this manuscript meet PLOS Global Public Health’s publication criteria?>

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: 1. Thank you for the opportunity to review manuscript titled: ‘Sensitivity and specificity of dried blood spot and plasma separated card samples for hepatitis C RNA testing’. The manuscript is well written, provided good background and important data, which will add value to the literature to help highlight the importance of these alternate sample types and the impact these specimens can provide on diagnostics and treatment, particularly in low-to-middle income countries.

2. Reference is made to obtaining an HCV RNA confirmation result from plasma [only] post HCV antibody reactive result. Throughout the manuscript I recommended including the range of HCV RNA methodologies, which also includes capillary whole blood (CEPHEID Genexpert) to inform the reader of the scope of confirmatory options currently available.

3. On line 129, double checking that you wanted to reference ‘HIV’ for high-throughput molecular platforms and not ‘HCV’.

4. From line 131 reference is made to DBS protocols being “off-label” and “regulatory pathways”. Could you include a short summary of how research findings like this helps inform manufacturers of assay performance using sample types not currently approved within their instructions for use (IFU)/kit inserts; and how this could help form an advocacy piece for the manufacture to include DBS and PSC in their product kit inserts for regulatory registration purposes? Make clear the end goal to have these alternate sample types part of routine clinical care without the need for research frameworks to implement.

5. Please provide the reference to the “parallel cross-sectional study researching the prevalence of HIV and HCV among PWID in Athens” on line 163.

6. Was an EDTA transfer pipette used to collect the capillary PSC specimens? If so, please highlight different collection techniques between capillary DBS and PSC for real-world collections.

7. If a result was invalid, did this sample undergo a repeat test if additional sample was available? This testing pathway is unclear to the reader.

Reviewer #2: Overall, this is a very important study and it is great to see these results finally published. There are a number of strengths, including the large sample size, the wide array of different testing options collected from the same participants, and the range of different settings where testing was performed. This work will provide a major contribution to the literature in this area and fills a gap that has not been attended to by the manufacturers.

Major comments

1) Abstract – It is a bit odd that different parameters are presented for the 4800 and 6800 in the abstract. For the 4800, the information on capillary DBS, venous DBS, and venous PSC are presented. However, for the 6800, the estimates for venous DBS, venous PSC, and capillary PSC are presented. It would be useful if the estimates for all four sample types for both assay types were presented in the abstract for more ready comparison.

2) Methods – The section on study population is a bit unclear. The authors provide the definitions for these three groups, but it is not clear as to the exact inclusion criteria for the study. It would be helpful to have a clearer explanation of the inclusion criteria in this section, rather than a description of the different categories. Alternatively, the authors could provide some of the details about sampling and recruitment in the different settings here as this impacts the inclusion of participants. I understand that it is a bit tricky as there is some overlap in the two sections, but I don’t think that the current study population section as written provides a clear description of the inclusion criteria for enrollment.

3) Methods (sample size determination) – It would be helpful to report what the estimated prevalence was to inform these sample size calculations. I imagine that it was not estimated that there was going to be 49% (400 of 815). So, please provide some more information on the assumptions behind the sample size calculations.

4) Methods – Need to mention how many samples required repeat testing in the results.

5) Methods – Apologies if I missed it, but the authors need to explain somewhere why there was information on capillary DBS, venous DBS, and venous PSC for the 4800 and venous DBS, venous PSC, and capillary PSC samples for the 6800. Why was there no capillary PSC for the 4800 and no capillary DBS for the 6800? This needs to be explained.

6) Methods/results – These are incredibly important data. One of the major issues with DBS testing is that sometimes there is discordance at very low levels. These assays are very sensitive (and probably pick-up virus which is not clinically relevant). As such, sometimes there will be DBS samples which are HCV RNA detectable, but not quantifiable that upon repeat testing are HCV RNA undetectable. As such, it has been useful to conduct additional analyses using the limit of quantification (HCV RNA detectable and quantifiable). Further, it is often well-accepted that these assays have better performance at a threshold of 1000 IU/mL. I would like the authors to consider also providing the sensitivity and specificity for these comparisons using a detectable and quantifiable limit and for samples that are > and <1,000 IU/mL. This is important as we know that the sensitivity and specificity for DBS testing is much better when using these thresholds (Catlett, JID 2022). This is such an important study and these data will be helpful for advocating in the use of DBS testing across a range of countries. I would mention in the methods that this was a post-hoc analysis if this analysis was not pre-specified, but it is still incredibly important information. It would be a shame to not have these analyses to inform the field. I think it is unlikely that this type of study will be done again.

7) Results – I think that this section needs to be expanded. I think the results of the initial tests need to be better explained. What proportion were initially HCV detectable and then on re-testing were HCV undetectable (and vice versa)? This is important and partly relates to the previous point about the limit of detection perhaps being too sensitive. It would be helpful to have a table which outlines this information.

8) Results – It would be helpful if the authors provided a table which highlighted the discrepant results. This somewhat relates to the previous comment. It is important to describe what was the cause of the discrepant results. Were these primarily samples that were detectable and not quantifiable and then undetected with laboratory-based testing? It would be very useful to explain the cause of heterogeneity (including with the HCV RNA levels for the discrepant results).

9) Results – It is somewhat hard to read the diagnostic accuracy tables (Tables 2 and 3). It would be much better if these were presented more in line with standard 2 x 2 tables with the corresponding sensitivity and specificity).

10) Discussion – One thing that could be covered in the discussion is the lack of willingness by manufacturers to either use these data or to generate data from their own studies to facilitate the required studies so that DBS can be added as a sample type to their instructions for use. This has been a major barrier to more widespread uptake of DBS testing in many countries.

11) Discussion – One thing that is missing from the discussion is the need to also have assays for HCV antibody testing from DBS. It is a much more cost-effective strategy to first perform HCV antibody testing and then to perform HCV RNA testing on those DBS samples that were HCV antibody positive. It would be good for the authors to discuss this.

12) Discussion – Apologies if I have missed it, but could the authors please provide some thoughts on the next steps forward now that these data are available? Will these data be used by Roche to support listing of DBS as a sample type? I understand that the software for the 4800 and 6800 have been updated, so perhaps these studies would need to be redone in order for them to use the data to update the instructions for use. Also, I think it would be worth commenting on the fact that the PSC is now an approved indication for the Roche platforms, which provides important capacity for this to be used in broader clinical applications globally.

Minor comments

13) Abstract – It would be helpful if the authors included the 95% confidence intervals for the sensitivity and specificity estimates.

14) Introduction – There is a more recent systematic review of dried blood spot testing by Catlett et al (Catlett B, et al JID 2022) that the authors might want to reference for completeness. This review also noted a higher sensitivity and specificity for detection than the study noted in the introduction by Lange et al . I would also note the sensitivity and specificity for greater than the limit of quantification.

15) Introduction (lines 87-88) – I think it might be worth the authors also mentioning that there are very few studies that have included a comparison of DBS and PSC in the same study. This is a major strength of the current study.

16) Results – I would use injecting drug use instead of injectable drug consumption.

17) Results – I would round all the percentages in the tables to the nearest whole number to improve readability.

18) Discussion – I think it would be helpful for the authors to compare their findings to the systematic review by Catlett et al (JID 2022).

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Reviewer #2: Yes: Jason Grebely

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0006082.r003

Decision Letter 1

Guillaume Fontaine

15 Feb 2026

Sensitivity and Specificity of Dried Blood Spot and Plasma Separation Card Samples for Hepatitis C Virus RNA Testing

PGPH-D-25-01945R1

Dear Ms Malobela,

We are pleased to inform you that your manuscript 'Sensitivity and Specificity of Dried Blood Spot and Plasma Separation Card Samples for Hepatitis C Virus RNA Testing' has been provisionally accepted for publication in PLOS Global Public Health.

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Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Guillaume Fontaine, PhD, RN

Academic Editor

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Reviewer Comments (if any, and for reference):

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Summary of Repeat Testing Outcomes for Discordant DBS and PSC Samples.

    DBS, dried blood spot; PSC, plasma separation card. vDBS, venous dried blood spot; cDBS, capillary dried blood spot; vPSC, venous plasma separation card; cPSC, capillary plasma separation card; Detectable, quantifiable viral load; < titer, detectable, non‑quantifiable, i.e., detectable signal below assay limit of quantification; Undetectable, no viral RNA detected. Indeterminate, invalid/error/no result.

    (DOCX)

    pgph.0006082.s001.docx (15.6KB, docx)
    S2 Table. Diagnostic accuracy of dried blood spot and Plasma Separation Card samples for detecting hepatitis C virus RNA using the Roche cobas 4800 system, according to site.

    CI, confidence interval; DBS, dried blood spot; PSC, plasma separation card.

    (DOCX)

    pgph.0006082.s002.docx (15.8KB, docx)
    S3 Table. Diagnostic accuracy of dried blood spot and Plasma Separation Card samples for detecting hepatitis C virus RNA using the Roche cobas 6800 system, according to site.

    CI, confidence interval; DBS, dried blood spot; PSC, plasma separation card.

    (DOCX)

    pgph.0006082.s003.docx (15.9KB, docx)
    S4 Table. Proportion of invalid results according to assay, sample type, and site.

    DBS, dried blood spot; PSC, plasma separation card.

    (DOCX)

    pgph.0006082.s004.docx (15.2KB, docx)
    S1 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 4800 HCV assay.

    (A) Plasma; (B) capillary DBS; (C) venous DBS. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. DBS, dried blood spot.

    (TIF)

    pgph.0006082.s005.TIF (179.7KB, TIF)
    S2 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 4800 HCV assay.

    (A) venous PSC. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. PSC, plasma separation card; HCV, hepatitis C virus.

    (TIF)

    pgph.0006082.s006.TIF (121KB, TIF)
    S3 Fig. Distribution of viral load tested using the Roche cobas 6800 HCV assay.

    (A) Plasma; (B) capillary PSC; (C) venous DBS. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. DBS, dried blood spot; PSC, plasma separation card; HCV, hepatitis C virus.

    (TIF)

    pgph.0006082.s007.TIF (172.4KB, TIF)
    S4 Fig. Distribution of hepatitis C virus load tested using the Roche cobas 6800 HCV assay.

    (A) capillary PSC; (B) venous PSC. The line in the middle of each box represents the median viral load; the top and bottom of each box represent the 75th and 25th centiles, respectively. Abbreviations: PSC, plasma separation card dried; HCV, hepatitis C virus.

    (TIF)

    pgph.0006082.s008.TIF (158KB, TIF)
    Attachment

    Submitted filename: PLOS Global Health Issues Addressed_Feb 2026.pdf

    pgph.0006082.s010.pdf (71.6KB, pdf)

    Data Availability Statement

    The datasets analysed during the current study are available in the Figshare repository. Where applicable, data-sharing agreements with participating countries were established. https://figshare.com/articles/dataset/Roche_DBS_and_Plasma_Separation_Data_Set_-_HCV_RNA_Detection/29543879.


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