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Research Article

Post-transfusion Hepatitis C Virus Infection and the Hidden Burden of Warm Blood Transfusion in a Resource-Limited Setting: An Analytical Cross-Sectional Study from Mbujimayi, Democratic Republic of Congo

[version 1; peer review: awaiting peer review]
PUBLISHED 06 Jul 2026
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Abstract

Background

Blood transfusion remains a cornerstone of clinical care but continues to pose risks when biosafety standards are not rigorously applied. In the Democratic Republic of the Congo (DRC), more than 90% of transfusions are delivered as warm transfusions, in which blood is released before full infectious marker screening is completed. This study aimed to quantify the additional risk of hepatitis C virus (HCV) transmission associated with this practice in Mbujimayi.

Methods

We conducted a prospective analytical cross-sectional study in four high transfusion-volume hospitals of Mbujimayi. A total of 223 previously transfused individuals (≥ 2 months post-transfusion) were enrolled and stratified into exposed (warm transfusion) and unexposed (cold transfusion) groups. Anti-HCV antibodies were detected using an HCV Scan rapid immunochromatographic assay performed on serum. Crude (cOR) and adjusted (aOR) odds ratios with 95% confidence intervals were estimated using bivariate analyses and multivariable logistic regression in IBM SPSS Statistics version 27, p < 0.05 was considered statistically significant.

Results

The post-transfusion HCV seroprevalence was 4.9% (11/223). After adjustment, two factors remained independently associated with HCV seropositivity: receiving more than one transfusion (aOR = 5.41; 95% CI: 1.22–24.02; p = 0.027) and unemployment (aOR = 4.66; 95% CI: 1.18–18.41; p = 0.028). Among those exposed to warm transfusion, repeated transfusions increased the likelihood of HCV infection tenfold (aOR = 10.03; 95% CI: 3.85–26.16; p < 0.001).

Conclusion

Warm transfusion, the prevailing modality in the DRC, constitutes a significant additional route of HCV transmission. Strengthening voluntary non-remunerated blood donation, ensuring uninterrupted screening for transfusion-transmitted infections, and enforcing systematic use of pre-tested blood units are critical strategies to reduce this preventable burden.

Keywords

Hepatitis C virus; Warm blood transfusion; Blood safety; Transfusion-transmitted infections; Additional risk; Mbujimayi

Introduction

Blood transfusion is an essential therapeutic procedure that prolongs survival and improves the quality of life of patients managed for hematological, surgical and obstetric conditions. Despite these clinical benefits, transfusion remains associated with the transmission of major bloodborne infections, particularly the human immunodeficiency virus (HIV), hepatitis B virus (HBV) and hepatitis C virus (HCV), and therefore represents a persistent public health challenge in many regions of the world.1 Within national health systems, blood transfusion services are expected to ensure the safety, adequacy, accessibility and effectiveness of the blood supply at every level of care.2

Each year, transfusion saves millions of lives, and blood remains one of the most vital components of medical and surgical care because no artificial substitute is available.3 Nevertheless, the procedure carries inherent risks: several infectious agents, including HBV, HCV, HIV, Treponema pallidum and Plasmodium spp., can be transmitted from an infected donor to the recipient, the donor being the primary source of transfusion-transmitted infections (TTIs).4,5

HCV infection is recognized as a major global public health problem. It is estimated to affect more than 200 million individuals worldwide, corresponding to approximately 3% of the global population, and is responsible for a substantial proportion of chronic liver disease. The virus is mainly transmitted through blood and body fluids. In countries where systematic donor screening is not performed, the risk of HCV acquisition through transfusion ranges between 20% and 40%, depending on the local prevalence of the infection and the cumulative number of transfusions received. Approximately 92 million blood donations are collected annually worldwide,6,7 of which around 1.6 million are discarded because of the presence of infectious markers.8

The risks of transfusion are intrinsically linked to its biological nature. On the one hand, the transfer of a biological fluid from one individual to another is a direct route of transmission for several infectious diseases, a risk that became central to transfusion safety with the emergence of the HIV and HCV epidemics. On the other hand, the crossing of the immunological boundary between donor and recipient exposes patients to alloimmunization and its complications.2,912

Several determinants modulate the infectious risk associated with transfusion: the prevalence of the pathogen among blood donors, the haematogenic dynamics of the agent, regulatory screening requirements, blood-product preparation techniques, the immunological status of the recipient, and post-transfusion surveillance. Acute hepatitis is common in many parts of the world, and chronic morbidity frequently arises after HBV or HCV infection. In Latin America, hepatitis A, B and D have all been documented,1317 while hepatitis E has been associated with both endemic and epidemic icteric outbreaks.2,10,11

In the DRC, the seroprevalence of HCV in rural areas is estimated at 3.5%.18 Several studies have provided indirect estimates of the transfusion-related risk of acquiring HCV, with marked geographical variability: 1/2,380 in Lubumbashi19 and 105/5,016 in Bukavu.20 In Mbujimayi, a survey of 522 blood donors reported an HCV seroprevalence of 2.1%.21 Nationally, the prevalence among donors is also estimated at approximately 2.1% and tends to be higher among replacement donors.22

In a context of constrained resources, transfusions are often performed under economic pressure, with limited adherence to standard biosafety procedures. Warm transfusion—defined here as the administration of a blood unit before complete validation of mandatory infectious screening—may therefore favour immuno-allergic reactions and the transmission of severe infections such as HCV, with potentially life-threatening consequences. The DRC is characterized by a low proportion of voluntary blood donors (approximately 17%), and more than 90% of transfusions are performed under warm conditions, that is, in circumstances where the probability of complete and reliable testing of the donated unit is reduced.

Despite these alarming structural features, robust national data quantifying the additional risk of HCV transmission attributable specifically to warm transfusion remain scarce. Generating such evidence is essential to inform transfusion policy, guide donor recruitment strategies and prioritise investments in laboratory infrastructure. Accordingly, the general objective of this study was to estimate the additional risk of HCV transmission associated with warm blood transfusion in Mbujimayi and to identify the sociodemographic and clinical factors independently associated with post-transfusion HCV seropositivity, in order to contribute to the improvement of transfusion safety in resource-limited African settings.

Materials and Methods

Study setting

The study was carried out in the city of Mbujimayi, capital of the Kasaï-Oriental Province in the DRC. Four hospitals with high transfusion activity were purposively selected: the General Reference Hospital of Mpokolo and the Centre Hospitalier Saint Pierre (Mpokolo Health Zone), and the Centre Hospitalier Bethesda and the Centre Hospitalier Notre-Dame (Bonzola Health Zone). These facilities were chosen because of their high patient attendance and large transfusion volume, which made them representative of the city’s transfusion practice. Patients who had received at least one warm transfusion were considered exposed, and those who had received a cold transfusion (i.e., a unit fully validated by the routine TTI screening panel before issue) were considered unexposed.

Study design and population

We conducted a prospective analytical cross-sectional study designed to estimate the additional risk of HCV transmission in patients who had received a warm transfusion compared with those who had received a cold transfusion. The study population consisted of patients with a documented history of blood transfusion in the four selected hospitals, regardless of age or sex, who had been residing in the corresponding health zones.

Sample size and sampling procedure

The minimum sample size was estimated using Epi Info™ 7 (StatCalc module). With a 95% confidence interval, a statistical power of 80%, an exposed-to-unexposed ratio of 1:1 and an expected HCV prevalence of 7% among the unexposed, the minimum required sample size was 218 participants, equally distributed between exposed and unexposed groups. To strengthen the analysis, 223 participants were ultimately enrolled by consecutive sampling of eligible individuals attending the participating facilities during the data collection period. The participants’ ages ranged from 1 to 50 years.

Eligibility criteria

Were included all individuals who: (i) resided in one of the targeted health zones; (ii) had received at least one blood transfusion in one of the selected hospitals; (iii) had been transfused at least two months before the survey, in order to allow anti-HCV seroconversion; and (iv) provided written informed consent (or assent with parental consent in the case of minors). Individuals who had been transfused less than two months before the survey, those residing outside the targeted health zones, and those declining to participate were not included.

Data collection

Field investigators were nurses and laboratory technicians selected on the basis of their availability, professional qualifications and prior field experience. They underwent a structured training session focused on the standardized administration of the questionnaire and on the correct manipulation and reading of rapid diagnostic tests. A senior supervisor was assigned to monitor data quality and logistic flows throughout the study. Each participant was administered a structured questionnaire collecting sociodemographic, clinical and transfusion-related data, after which a venous blood sample was obtained for HCV serology.

Biological sampling and laboratory analysis

Approximately 2 mL of venous blood was drawn aseptically from the antecubital vein using a sterile syringe and dispensed into a sterile dry tube. The sample was allowed to clot and was then centrifuged at 1,500 rpm for 10 minutes to separate the serum, which was stored in cryotubes until testing. Sera were brought back to room temperature before assay.

Anti-HCV antibodies were detected using the HCV Scan® rapid diagnostic test (Abbott Diagnostics Korea; catalog numbers 02FK10, 02FK16, and 02FK17), an immunochromatographic assay relying on recombinant HCV particles that agglutinate in the presence of anti-HCV antibodies in serum or plasma. HCV testing was performed on all 223 participants in the study, and every test yielded a valid result. Ten μl of whole blood or plasma were deposited on the cassette, and the result was read after 15–20 minutes. The result was considered positive when both the control and the patient bands turned red, negative when only the control band appeared, and invalid if the control band failed to appear. Testing procedures and result interpretation strictly followed the manufacturer’s instructions.

Statistical analysis

Data were entered into Microsoft Excel 2019 and analyzed using IBM SPSS Statistics version 27 (IBM Corporation, Armonk, NY, USA). Descriptive statistics included frequencies and percentages for categorical variables, and median with interquartile range (IQR) for continuous variables. Comparisons between exposed and unexposed participants were performed using Pearson’s chi-squared test with Fisher’s exact test, as appropriate. Bivariate analyses were performed using HCV infection and warm blood transfusion as dependent variables; crude odds ratios (cOR) and their 95% confidence intervals were calculated for each predictor variable. Variables with a p-value <0.20 in the bivariate analysis were included in a multivariate binomial logistic regression model to identify predictive factors. Adjusted odds ratios (aOR) with 95% confidence intervals were reported, and a p value <0.05 was considered statistically significant.

Results

Prevalence of post-transfusion HCV infection

Among 223 previously transfused participants tested in Mbujimayi, 11 had reactive anti-HCV serology, yielding an overall post-transfusion HCV seroprevalence of 4.9% (95% CI: 2.5–8.6).

Sociodemographic and clinical characteristics

The participants’ median age was 11 years (Q1–Q3: 6–17), reflecting the predominance of paediatric transfusion in the participating facilities. The cohort was almost evenly distributed by sex, with 112 males (50.2%) and 111 females (49.8%). With regard to education, 40 participants (17.9%) were illiterate, 94 (42.2%) had completed primary education, 70 (31.4%) secondary education and 19 (8.5%) university education. Most participants were single (n = 184; 82.5%), while 37 (16.6%) were married and 2 (0.9%) widowed.

Geographically, 100 participants (44.8%) came from the Kanshi commune, 99 (44.4%) from Bipemba and 24 (10.8%) from Dibindi. Pupils accounted for the largest occupational category (54.7%), followed by individuals without a remunerated occupation (18.8%). Concerning the source of transfused blood, 114 participants (51.1%) had received units from voluntary non-remunerated donors, 97 (43.5%) from family/replacement donors and 12 (5.4%) from paid donors. Clinical jaundice was documented in 5 participants (2.2%). Malaria was the leading clinical indication for transfusion (64.1%), followed by sickle-cell disease (17.5%) and surgical conditions (9.4%). Most participants (78.5%) had received a single transfusion, whereas 21.5% had been multi-transfused ( Table 1).

Table 1. Sociodemographic and clinical characteristics of the study population (N = 223).

Variablesn% [95% CI]Median (IQR)
Age (years)11 (6–17)
 1–11 years11652.0 [45.3–58.7]
  > 11 years10748.0 [41.3–54.7]
Sex
 Female11149.8 [43.0–56.5]
 Male11250.2 [43.5–57.0]
Educational level
 Illiterate4017.9 [13.1–23.6]
 Primary9442.2 [35.6–48.9]
 Secondary7031.4 [25.4–37.9]
 University198.5 [5.2–13.0]
Marital status
 Single18482.5 [76.9–87.3]
 Married3716.6 [11.9–22.1]
 Widowed20.9 [0.1–3.2]
Place of residence (commune)
 Bipemba9944.4 [37.8–51.2]
 Dibindi2410.8 [7.0–15.6]
 Kanshi10044.8 [38.2–51.6]
Occupation
 Trader83.6 [1.6–6.9]
 Pupil12254.7 [47.9–61.9]
 Teacher31.3 [0.3–3.9]
 Student177.6 [4.5–11.9]
 Civil servant52.2 [0.7–5.2]
 Self-employed 94.0 [1.9–7.5]
 Housewife177.6 [4.5–11.9]
 Unemployed4218.8 [13.9–24.6]
Type of donor
 Voluntary non-remunerated 11451.1 [44.4–57.8]
 Family/replacement9743.5 [36.9–50.3]
 Paid125.4 [2.8–9.2]
Jaundice
 Yes52.2 [0.7–5.2]
 No21897.8 [94.4–99.5]
Indication for transfusion
 Sickle-cell disease3917.5 [12.7–23.1]
 Obstetric/gynaecological146.3 [3.5–10.3]
 Unknown31.3 [0.3–3.9]
 Surgical219.4 [5.9–14.0]
 Malaria14364.1 [57.5–70.4]
 Trauma31.3 [0.3–3.9]
Number of transfusions received
 One17578.5 [72.5–83.7]
 Two2712.1 [8.1–17.1]
 Three146.3 [3.5–10.3]
 Four52.2 [0.7–5.2]
 Five20.9 [0.1–3.2]
HCV serostatus
 Reactive114.9 [2.5–8.6]
 Non-reactive 21295.1 [91.4–97.5]

Factors associated with post-transfusion HCV infection

Bivariate analysis identified three variables as significantly associated with HCV seropositivity: the cumulative number of transfusions received (p < 0.001), the presence of jaundice (p < 0.001) and the type of blood donor (p = 0.015). Specifically, multi-transfusion (more than one episode) was associated with an 11-fold increase in the odds of HCV reactivity (cOR = 11.47; 95% CI: 2.91–45.16); the presence of jaundice was associated with a 15-fold increase (cOR = 15.48; 95% CI: 2.29–104.50); and receiving blood from non-voluntary donors carried an approximately 9-fold increased odds (cOR = 8.76; 95% CI: 1.10–69.66) compared with voluntary donations.

After adjustment in the multivariable logistic regression model, the only independent predictor of HCV seropositivity that retained statistical significance was multi-transfusion: participants who had received more than one transfusion were more than five times as likely to be HCV-seropositive as those transfused once (aOR = 5.41; 95% CI: 1.22–24.02; p = 0.027). The associations with jaundice (aOR = 4.59; 95% CI: 0.59–35.92; p = 0.147) and donor type (aOR = 5.78; 95% CI: 0.66–51.03; p = 0.114) lost statistical significance, although the magnitude of the point estimates remained suggestive of a clinically relevant association ( Table 2).

Table 2. Bivariate and multivariable analysis of factors associated with post-transfusion HCV infection.

VariablesPost-transfusion HCV infectioncOR [95% CI]paOR [95% CI]p
HCV+ (n = 11) HCV–(n = 212)
Age
 1–11 years5 (45.5)111 (52.4)0.76 [0.23–2.56]0.655
  > 11 years6 (54.5)101 (47.6)1
Number of transfusions
 One3 (27.3)172 (81.1)11
 More than one8 (72.7)40 (18.9)11.47 [2.91–45.16]< 0.0015.41 [1.22–24.02]0.027
Educational level
 Illiterate/primary7 (63.6)127 (59.9)1.17 [0.33–4.12]0.806
 Secondary/university4 (36.4)85 (40.1)1
Jaundice
 Yes2 (18.2)3 (1.4)15.48 [2.29–104.50]< 0.0014.59 [0.59–35.92]0.147
 No9 (81.8)209 (98.6)11
Marital status
 Single/widowed9 (81.8)177 (83.5)0.89 [0.18–4.30]0.885
 Married2 (18.2)35 (16.5)1
Indication
 Other indications2 (18.2)39 (18.4)1
 Malaria/sickle-cell 9 (81.8)173 (81.6)1.01 [0.21–4.88]0.986
Type of donor
 Other (family/paid)10 (90.9)99 (46.7)8.76 [1.10–69.66]0.0155.78 [0.66–51.03]0.114
 Voluntary1 (9.1)113 (53.3)11

Exposure-stratified analysis (warm vs cold transfusion)

When the analysis was restricted to the comparison between recipients of warm and cold transfusions, two factors emerged as independently associated with HCV seropositivity: lack of remunerated occupation (aOR = 4.66; 95% CI: 1.18–18.41; p = 0.028) and the cumulative number of warm transfusions (aOR = 10.03; 95% CI: 3.85–26.16; p < 0.001). In other words, participants who had received more than one warm transfusion were approximately ten times more likely to be HCV-seropositive than those exposed to a single warm transfusion ( Table 3).

Table 3. Bivariate and multivariable analysis of factors associated with Warm-blood transfusion.

VariablesWarm-blood transfusioncOR [95% CI]paOR [95% CI]p
Yes (n = 109) No (n = 114)
Age
 1–11 years61 (52.6)55 (47.4)1.363 [0.805–2.310]0.249
  > 11 years48 (44.9)59 (55.1)1
Number of transfusions
 One69 (39.4)106 (60.6)11
 More than one40 (83.3)8 (16.7)7.681 [3.392–17.395]<0.00110.029 [3.846–26.156]<0.001
Occupation
Housewife. Unemployed105 (53.0)93 (47.0)5.927 [1.963–7.897]<0.0014.663 [1.181–18.409]0.028
Civil Servant and Business Owner4 (16.0)21 (84.0)
Educational level
 Illiterate/primary68 (50.7)66 (49.3)1.206 [0.705–2.064]0.494
Secondary/university41 (46.1)48 (53.9)1
Jaundice
 Yes4 (80.0)1 (20.0)0.232 [0.026–2.112]0.1594.59 [0.59–35.92]0.147
 No105 (48.2)113 (51.8)11
Marital status
 Single/widowed97 (52.2)89 (47.8)2.271 [1.077–4.788]0.0281.927 [0.669–5.554]0.224
 Married12 (32.4)25 (67.6)11
Indication
 Malaria/sickle-cell 87 (47.8)95 (52.2)1.264 [0.641–2.494]0.498
 Other indications22 (53.7)19 (46.3)1

Discussion

The present analysis was designed to quantify the additional infectious risk that warm transfusion adds to the routine therapeutic use of blood in a high-burden. Resource-limited African setting. The post-transfusion HCV seroprevalence of 4.9% documented in Mbujimayi must be interpreted as a substantial. Preventable epidemiological signal rather than as a marginal observation. In a cohort whose median age was only 11 years. Almost one in twenty patients had already acquired anti-HCV reactivity after a single therapeutic exposure. Indicating that even a limited number of warm transfusions is sufficient to introduce a clinically meaningful viral burden into a young population.

Two independent determinants of HCV seropositivity emerged from the multivariable model: cumulative exposure to transfusion and absence of a remunerated occupation. These two predictors converge on a single underlying mechanism structural vulnerability. Multi-transfusion mechanically multiplies the probability of encountering an undetected viremic donor. Particularly in a system where rapid tests with limited sensitivity are sometimes the only screening tool available. Unemployment. in turn. Captures a wider socioeconomic reality: unemployed patients are less able to mobilize voluntary donors from their network. Are more frequently exposed to family or paid donors of uncertain serological status. and depend on facilities where pre-tested cold units are less consistently available. Interpreted together. These findings suggest that in our setting. The HCV transmission risk is shaped less by individual biological factors than by the interaction between repeated exposure to inadequately validated blood and socioeconomic precarity.

The strength of the association observed in the exposure-stratified analysis reinforces this interpretation. The ten-fold increase in odds of HCV reactivity among recipients of more than one warm transfusion (aOR = 10.03) is more than twice the magnitude of the association observed in the overall multivariable model (aOR = 5.41). This gradient is biologically plausible: each additional warm transfusion adds an independent probability of receiving a unit released before complete laboratory validation. and these probabilities accumulate multiplicatively across episodes. The clinical implication is that the pre-transfusion decision is not neutral: deciding to transfuse a patient with a unit of unverified serological status is. in this setting. an act that meaningfully contributes to the patient’s lifetime infectious risk.

The loss of statistical significance for jaundice and donor type after adjustment deserves a careful interpretative reading. Although these variables ceased to be statistically significant. The magnitude of their adjusted odds ratios (aOR = 4.59 for jaundice; aOR = 5.78 for non-voluntary donors) remained clinically substantial. With wide confidence intervals reflecting the limited statistical power of a 4.9% prevalence in a sample of 223 participants. Rather than indicating an absence of association. These confidence intervals signal an imprecise estimation of an association that is most likely real. Embedded in the broader pathway connecting repeated exposure. Donor type and viremic risk. The presence of jaundice in 18.2% of seropositive participants. Compared with only 1.4% of seronegative participants. is in itself an important clinical alert: post-transfusion icterus. When observed in this context. Should systematically trigger HCV testing rather than be attributed to the underlying disease.

The fact that 51.1% of donors were voluntary and non-remunerated could. at first sight. Appear reassuring; yet our data show that even within this preferred donor category. Residual transmission cannot be excluded. Since one of the eleven seropositive recipients had received voluntary blood. This nuance is consistent with the residual-risk literature and underscores that voluntary non-remuneration. While necessary is not sufficient on its own. The combination of voluntary donor recruitment. Donor fidelization. Systematic and high-sensitivity TTI screening and the formal prohibition of releasing unvalidated units constitutes the only operational pathway through which the residual risk can be brought towards acceptable levels.

The predominance of malaria (64.1%) and sickle-cell disease (17.5%) as transfusion indications interprets a critical structural reality: in Mbujimayi transfusion is a recurrent therapeutic act for populations who experience repeated transfusion needs across their lifetime. Children with sickle-cell disease in particular. Are structurally exposed to multi-transfusion. and our results indicate that these patients are also those at highest cumulative HCV risk. This converges with the known epidemiology of HCV in chronically transfused populations and reframes haemoglobinopathy programs not only as hematological care pathways but also as priority targets for transfusion-safety interventions. Including HCV monitoring. Vaccination against hepatitis B and access to direct-acting antiviral therapy.

Several elements published in the broader literature provide context for these findings. The 4.9% prevalence we report is markedly higher than the residual-risk estimates documented in better-resourced or better-organized transfusion systems ranging from 0.042% - 3.6%.13,1820,2331 but lower than the prevalences (7.1–59.3%) reported among multi-transfused thalassemic or chronic-care populations elsewhere.1,3237 Our finding therefore positions Mbujimayi in the upper range of post-transfusion HCV risk among populations transfused for acute conditions. a position that is consistent with the structural fragility of warm-transfusion practice. The similarity with prevalences reported in Pakistan9,15 and in Lubumbashi blood donors38 further supports the interpretation that the burden we observe reflects an entrenched. System-level vulnerability rather than a circumstantial finding.

Taken together the elements above support a single interpretative conclusion: in Mbujimayi. the additional risk imposed by warm transfusion is not theoretical. It translates into a measurable. Dose-dependent increase in HCV seropositivity. Amplified by socioeconomic vulnerability and concentrated in the very populations that depend most on transfusion for survival. Our data therefore make a case for a policy shift that treats access to fully validated cold blood units as a clinical priority equal to the transfusion act itself. Particularly in pediatric and chronic-care settings.

Limitations of the study

Several limitations should be acknowledged. First. the cross-sectional design precludes any inference of causality; the temporal sequence between exposure and outcome is inferred but not formally demonstrated. Second. the baseline HCV serological status of participants prior to transfusion was unknown. so a fraction of the observed seropositivity may reflect pre-existing infection unrelated to the incident transfusion. Third. screening was performed using a rapid immunochromatographic assay whose sensitivity and specificity are inferior to those of fourth-generation enzyme immunoassays or HCV RNA detection. Potentially leading to misclassification. Fourth. the study was restricted to two health zones of Mbujimayi and to four hospitals. Which limits the external validity of the findings to other Congolese settings. Finally. the relatively limited sample size (n = 223) reduces the precision of the adjusted estimates for low-frequency exposures. as reflected in the wide confidence intervals.

Conclusion

The continuously increasing demand for blood exposes recipients to infectious complications. of which HCV transmission is a major component. Rigorous donor selection combined with systematic. Sensitive and validated TTI screening remains the most effective strategy for preventing post-transfusion infections. Although transfusion saves millions of lives every year. Unvalidated blood continues to represent a tangible threat to recipients in low-resource settings. Access to safe blood should be regarded as a universal right and must be guaranteed by an uninterrupted quality-assured screening continuum.

In Mbujimayi. warm transfusion remains a non-negligible additional route of HCV transmission. Particularly when biosafety standards are not enforced. When voluntary blood donation remains insufficient. When blood-storage capacity is limited and when the supply of pre-tested units is unreliable. Although the post-transfusion HCV seroprevalence of 4.9% observed here is high. The absence of baseline serological data prevents the entire burden from being attributed solely to the transfusion act. Future longitudinal studies. Including baseline and follow-up serology with confirmatory HCV RNA testing. Are required to refine the magnitude of the transfusion-attributable risk and to evaluate the impact of policy interventions targeting voluntary donor recruitment and universal cold-unit release.

Ethical approval and consent to participate

Ethical authorization was granted by the ethics committee of the Official University of Mbujimayi, registered in number 002/2024/CERUOM/NKL. Informed consent to participate was obtained in writing from all participants, in both in both French and Tshiluba (the local national language), ensuring that they were fully aware of the study’s purpose, potential risks, and benefits. For participants under 18 years of age, written informed consent was obtained from a parent and/or legal guardian. The ethical principles outlined in the Declaration of Helsinki were followed throughout the study. The data were stored on a laptop computer with a password-protected and locked cabinet, and only the lead investigator and study supervisor had access to the data.

Consent for publication

Not applicable.

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Ntambwe G, Baloji D, Muepu V et al. Post-transfusion Hepatitis C Virus Infection and the Hidden Burden of Warm Blood Transfusion in a Resource-Limited Setting: An Analytical Cross-Sectional Study from Mbujimayi, Democratic Republic of Congo [version 1; peer review: awaiting peer review]. F1000Research 2026, 15:1086 (https://doi.org/10.12688/f1000research.183575.1)
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