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World J Hepatol. Oct 27, 2026; 18(10): 124709
Published online Oct 27, 2026. doi: 10.4254/wjh.124709
Impact of hepatitis delta virus infection on waiting list outcomes: A competing-risks analysis
Angela Peltec, Diana Buga, Discipline of Gastroenterology, Department of Internal Medicine, “Nicolae Testemitanu” State University of Medicine and Pharmacy, Chisinau 2019, Moldova
Adrian Hotineanu, Surgery Department No. 2, “Nicolae Testemitanu” State University of Medicine and Pharmacy, Chisinau 2019, Moldova
Heiner Wedemeyer, Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover 30625, Germany
ORCID number: Angela Peltec (0000-0002-2616-5634); Diana Buga (0009-0007-5219-765X); Adrian Hotineanu (0009-0001-8791-0810); Heiner Wedemeyer (0000-0003-2906-0480).
Author contributions: Peltec A designed and conducted the study and wrote the paper; Buga D contributed to the analysis and wrote the paper; Hotineanu A provided clinical advice; Wedemeyer H supervised the study.
AI contribution statement: Certain sections of this manuscript were revised with the assistance of AI tools exclusively for language improvement. All AI-generated suggestions were thoroughly checked and validated by the authors, who assume full responsibility for the scientific content of the manuscript.
Institutional review board statement: This study was reviewed and approved by the Research Ethics Committee of the Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova (approval No. 40).
Informed consent statement: Written informed consent was obtained from all participants included in the prospective phase of the study. For the retrospective phase, anonymized clinical data from the National Transplant Registry were used in accordance with institutional review board approval.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement- checklist of items.
Data sharing statement: The statistical code and de-identified dataset supporting the findings of this study are available from the corresponding author upon reasonable request, subject to compliance with national data protection regulations.
Corresponding author: Angela Peltec, PhD, Associate Professor, Discipline of Gastroenterology, Department of Internal Medicine, “Nicolae Testemitanu” State University of Medicine and Pharmacy, Str. Testemitanu 29, Chisinau 2019, Moldova. angela.peltec@usmf.md
Received: June 23, 2026
Revised: July 27, 2026
Accepted: September 23, 2026
Published online: October 27, 2026
Processing time: 120 Days and 10.3 Hours

Abstract
BACKGROUND

Liver transplantation is the gold standard for end-stage liver disease, but the shortage of donor organs results in extended waiting lists and considerable mortality before a graft becomes available. Model for end-stage liver disease (MELD)-based allocation has reduced waiting-list mortality and shortened waiting times across many national programs, but its predictive accuracy is not uniform. Hepatitis D virus (HDV) infection promotes faster progression of fibrosis and leads to earlier decompensation. Whether HDV status provides independent prognostic information beyond the MELD score in predicting waiting-list outcomes remains insufficiently investigated.

AIM

To assess the impact of hepatitis delta infection on waiting-list outcomes through a competing-risks analysis.

METHODS

We conducted an ambispective national cohort study of adults listed for liver transplantation (1 January 2013-31 December 2025). The retrospective phase covered 2013-2017 and the prospective phase 2018-2025. Two separate etiologic analyses were performed, comparing HDV infection first with hepatitis B virus (HBV) monoinfection and then with non-delta viral infection, comprising HBV monoinfection, HBV/hepatitis C virus (HCV) coinfection, and HCV monoinfection. Death on the waiting list and transplantation were treated as competing events. Cumulative incidence functions (CIF) were estimated using the Aalen-Johansen method. Multivariable cause-specific Cox and Fine-Gray subdistribution hazard models were fitted for death and for transplantation.

RESULTS

Of 313 adults, 174 (55.6%) had delta infection. The delta group had a more advanced baseline profile. The 5-year CIF of waiting-list death did not differ between the delta and non-delta viral groups (45.9% vs 42.9%; Gray’s test, P = 0.696), whereas transplantation was more frequent in the delta group (43.1% vs 21.7%; P = 0.001). In cause-specific models for the viral cohort, HDV approximately doubled the hazard of both waiting-list death [cause-specific hazard ratio (csHR) = 2.12, 95%CI: 1.38-3.24, P < 0.01] and transplantation [csHR = 2.71, 95%CI: 1.58-4.64, P < 0.01]. On the subdistribution scale for the viral cohort, HDV was not independently associated with waiting-list death [subdistribution hazard ratio (sHR) = 1.19, 95%CI: 0.84-1.68; P = 0.22] but was associated with transplantation [sHR = 2.09, 95%CI: 1.20-3.64; P < 0.01].

CONCLUSION

HDV increased the cause-specific hazard of waiting-list death, but this effect was attenuated by more frequent transplantation. HDV status may aid risk stratification in endemic settings, although current evidence is insufficient to justify a formal MELD exception.

Key Words: Hepatitis delta virus infection; Liver transplantation; Waiting list; Competing-risks analysis; Fine-Gray model; Model for end-stage liver disease score; Outcome

Core Tip: This national competing-risks study shows that hepatitis D virus infection approximately doubled the cause-specific hazards of both waiting-list death and liver transplantation. However, the cumulative incidence of waiting-list death was not increased because patients with hepatitis D underwent transplantation more frequently. This divergence between cause-specific and subdistribution effects highlights how transplantation modifies the observed mortality risk. Hepatitis D status may therefore improve clinical risk stratification in endemic settings, although the current evidence does not support a formal model for end-stage liver disease exception.



INTRODUCTION

Liver transplantation is the gold standard treatment for end-stage liver disease. However, demand for donor organs has long exceeded supply, resulting in prolonged waiting times and considerable mortality before a graft becomes available[1,2]. Once decompensation occurs, median survival without transplantation falls below two years[3]. Allocation policy changed in 2002, when the model for end-stage liver disease (MELD) was adopted to estimate short-term mortality[4,5]. The sodium-adjusted MELD-Na and, more recently, MELD 3.0 have refined this score by incorporating hyponatremia, sex and albumin[6,7].

MELD-based allocation has reduced waiting-list mortality across many national programs, but its predictive accuracy is not uniform. Etiology, comorbidity and frailty modulate the relationship between score and outcome[8], leaving residual etiology-specific risk that the score does not capture. This is particularly relevant in hepatitis D virus (HDV)-related advanced chronic liver disease, in which rapid clinical deterioration and portal-hypertensive complications may occur despite comparable MELD values.

Hepatitis delta virus infection promotes faster progression of fibrosis, leads to earlier decompensation, and increases the risk of hepatocellular carcinoma about threefold compared with hepatitis B virus (HBV) monoinfection[9-12]. HDV prevalence among HBsAg-positive individuals is highest in Eastern Europe, the Mediterranean region, Central Asia and sub-Saharan Africa[13,14]. The Republic of Moldova has one of the highest age-standardized burdens of cirrhosis worldwide[15], and more than half of patients on the national liver transplant waiting list have HDV-related end-stage liver disease[16,17]. Whether HDV status provides independent prognostic information beyond MELD in predicting waiting-list outcomes remains insufficiently investigated.

On the waiting list, death and transplantation are competing events, as transplantation removes a patient from the risk of subsequent waitlist death. Transplantation is also an informative event, because transplanted patients tend to be the most severely ill[18]. In this setting, the Kaplan–Meier method may overestimate waiting-list mortality[19]. Therefore, competing-risks analysis is more appropriate, with cumulative incidence functions (CIF) compared using Gray’s test[20] and covariate effects assessed using cause-specific Cox and Fine-Gray subdistribution hazard models[18,21]. We applied this methodology to the complete national cohort of adults listed for liver transplantation between 2013 and 2025, to assess the prognostic role of HDV infection with respect to both waiting-list mortality and access to transplantation.

MATERIALS AND METHODS
Study design and setting

This was an ambispective national cohort study of adult patients with advanced chronic liver disease listed for liver transplantation between January 1, 2013 and December 31, 2025. Clinical assessment was performed at the Hepatology Department and Outpatient Clinic of the Republican Clinical Hospital “Timofei Mosneaga”, Chisinau, Republic of Moldova. The study was approved by the Research Ethics Committee of the Nicolae Testemitanu State University of Medicine and Pharmacy (No. 40). Written informed consent was obtained from prospectively enrolled patients, while the retrospective phase used anonymized archival data under institutional approval.

Cohort and eligibility criteria

Eligible patients were aged 18 years or older at listing, had a diagnosis of liver cirrhosis based on standard clinical, biochemical and imaging criteria, were registered on the national waiting list between 1 January 2013 and 31 December 2025, and had complete data for calculation of MELD-Na at listing. Patients with documented human immunodeficiency virus co-infection, missing listing date or no follow-up were excluded. After exclusion of five pediatric records from the 318 initially identified records, the final analytical cohort comprised 313 adult patients (Figure 1). Patients were stratified by era of inclusion into an early retrospective period (2013–2017, n = 177) and a later prospective period (2018–2025, n = 136). Among the 266 patients with viral liver disease, two comparisons were performed. Patients with non-viral liver disease were excluded from these analyses to reduce etiological heterogeneity and to allow a more direct assessment of the effect of HDV infection within a viral-disease population. First, patients with HDV infection (n = 174) were compared with those with HBV monoinfection (n = 30) to provide an etiologically specific assessment. Because the HBV monoinfection group was relatively small, an additional broader comparison was performed between patients with HDV infection (n = 174) and those with non-delta viral infection (n = 92), including HBV monoinfection (n = 30), HBV/HCV coinfection (n = 10), and HCV monoinfection (n = 52).

Figure 1
Figure 1 Flow diagram of the national liver transplant cohort. Of 318 patients screened, five pediatric patients were excluded, resulting in a final study cohort of 313 adults. Patients were classified into three etiological groups: The delta group (anti- hepatitis delta virus (HDV) positive with detectable HDV RNA; n = 174, 55.6%), the non-delta viral group (n = 92, 29.4%), and the non-viral group (n = 47, 15.0%). The non-delta viral group included only anti-HDV-negative patients with hepatitis B virus (HBV) monoinfection (HBsAg positive with detectable HBV DNA; n = 30, 9.6%), HBV/hepatitis C virus (HCV) coinfection (n = 10, 3.2%), or HCV monoinfection (anti-HCV positive with detectable HCV RNA; n = 52, 16.6%). HCV: Hepatitis C virus; HBV: Hepatitis B virus.
Variables and outcomes

Baseline variables collected at listing included demographics (age, sex, residence), body mass index (BMI), hematology, standard liver biochemistry (alanine and aspartate aminotransferases, gamma-glutamyltransferase, total bilirubin, albumin, international normalized ratio, sodium, creatinine), virological and immunological markers (HBsAg, anti-HDV, HDV RNA, HBV DNA, anti-HCV), prognostic scores (MELD, MELD-Na, MELD 3.0), and markers of decompensation (ascites, hepatic encephalopathy, bleeding from esophageal varices) and complications. All clinical, laboratory, and virological data were collected at the time of listing. The primary outcomes were waiting-list death and liver transplantation.

Statistical analysis

Continuous variables were summarized as mean ± SD or median (interquartile range) according to distribution (Shapiro-Wilk test) and compared using the student t test or the Mann-Whitney U test; categorical variables were compared using the χ2 or Fisher exact test. Baseline differences between groups were additionally assessed using standardized mean differences (SMDs) to quantify the magnitude of between-group differences independently of sample size and to complement significance testing, particularly given the unequal group sizes. An absolute SMD > 0.10 was considered indicative of meaningful imbalance.

Waiting-list outcomes were analyzed within a competing-risks framework. Death and transplantation were the events of interest, each competing for the other. Patients who remained active on the waiting list without experiencing the event of interest were followed until their last available follow-up. In the cause-specific Cox analysis, occurrence of a competing event ended follow-up for the outcome being analyzed. Thus, transplantation ended follow-up when modeling waiting-list death, whereas death ended follow-up when modeling transplantation. Patients who remained alive and active on the waiting list at the end of the study contributed follow-up through December 31, 2025, without being classified as having experienced death or transplantation.

CIFs were estimated using the Aalen-Johansen estimator and compared between groups using Gray’s test. Group-specific estimates with 95%CIs were reported at 1 and 5 years. Because cause-specific and subdistribution hazard models address complementary questions, both approaches were applied to each outcome. Cause-specific Cox models assessed the association of HDV with the instantaneous rate of each event among patients remaining at risk, whereas Fine-Gray models assessed its association with cumulative incidence in the presence of competing events. Both models were adjusted for HDV status, age, sex, MELD-Na, and era. Bilirubin, international normalized ratio, creatinine, and sodium were not entered separately because they are components of the MELD-Na score.

The proportional-hazards assumption was assessed using scaled Schoenfeld residuals for the cause-specific Cox models and an HDV-by-time interaction for the Fine-Gray models. Robustness of the findings was evaluated in prespecified sensitivity analyses, including incremental covariate adjustment, restriction of the comparator group to HBV monoinfection or to non-delta viral disease, replacement of MELD-Na with MELD 3.0, and additional adjustment for hepatocellular carcinoma and antiviral therapy. Baseline data were nearly complete, with ≤ 0.6% missingness for any variable. Therefore, complete-case analysis was used. No patients were lost to follow-up. Statistical tests were two-sided, with P < 0.05 considered statistically significant. Analyses were performed using R version 4.5.2 and SPSS version 27.0.

RESULTS
Baseline characteristics

Of the 313 adults, 174 (55.6%) had HDV infection, 92 (29.4%) had non-delta viral infection, of whom 30 (9.6%) had HBV monoinfection and the remaining 47 (15.0%) had non-viral cirrhosis. Compared with patients with HBV monoinfection, those with HDV infection had more pronounced manifestations of portal hypertension and hepatocellular injury at baseline. They were younger (48 years vs 52 years, P = 0.037), included a higher proportion of women (45% vs 20%, P = 0.019), and had a lower BMI (24.8 kg/m2 vs 27.1 kg/m2, P = 0.004). The HDV group also had lower platelet counts (median, 72 × 109/L vs 98 × 109/L, P = 0.005) and higher alanine aminotransferase (ALT) levels (58.1 U/L vs 43.3 U/L, P = 0.009) (Table 1).

Table 1 Baseline characteristics of the delta and hepatitis B virus monoinfection groups, n (%)/median (interquartile range).
Characteristic
Delta (n = 174)
HBV monoinfection (n = 30)
SMD
P value
Age (years)48.0 (42.0-54.0)52.0 (47.0-57.8)0.420.037
Female sex78 (45)6 (20)0.550.019
Rural residence107 (61)14 (47)0.300.185
BMI (kg/m2)24.8 (22.8-27.1)27.1 (24.7-30.4)0.540.004
ALT (U/L)58.1 (39.3-93.1)43.3 (26.9-64.2)0.270.009
AST (U/L)76.8 (55.5-116.6)61.1 (44.2-90.5)0.270.067
Platelets (× 109/L) 72.0 (49.0-103.5)98.0 (68.5-161.3)0.440.005
Albumin (g/L)28.0 (24.9-31.9)29.4 (24.0-35.6)0.070.643
Total bilirubin (μmol/L)40.6 (23.5-60.5)45.0 (21.8-79.1)0.230.477
INR1.5 (1.3-1.7)1.4 (1.2-1.7)0.140.252
Creatinine (μmol/L)66.8 (57.7-75.0)71.2 (57.1-79.2)0.210.327
Sodium (mmol/L)138.0 (135.0-140.1)139.0 (136.0-140.8)0.090.466
Ascites110 (63)15 (50)0.270.242
Hepatic encephalopathy68 (39)10 (33)0.120.676
Esophageal variceal hemorrhage35 (20)5 (17)0.090.660
Hepatocellular carcinoma31 (18)8 (27)0.210.375
MELD15.0 (12.0-17.0)15.5 (11.0-17.0)0.010.992
MELD-Na15.0 (12.0-18.8)15.5 (11.0-18.0)0.070.510
MELD 3.016.5 (13.0-20.0)16.5 (12.0-19.0)0.100.652
Waiting-list time (days)247.5 (102.5-631)281 (135.2-762.2)0.130.593
Waiting-list death78 (44.8)19 (63.3)0.380.094
Transplantation72 (41.4)6 (20.0)0.480.043
Delisted1 (0.6)0 (0.0)0.111.000
Active in waiting list23 (13.2)5 (16.7)0.100.826

Given the small size of the HBV monoinfection group (n = 30), patients with HDV infection (n = 174) were additionally compared with the broader non-delta viral infection group (n = 92) (Table 2). A similar baseline pattern was observed. Patients with HDV infection were younger [48.0 (42.0–54.0) years vs 53.0 (48.0–58.0) years, P < 0.001], had a lower BMI [24.8 (22.8–27.1) kg/m2 vs 26.4 (24.5–28.1) kg/m2, P < 0.001], and were more frequently from rural areas [107/174 (61%) vs 38/92 (41%), P = 0.003]. They also had lower platelet counts [72.0 (49.0–103.5) × 109/L vs 97.8 (71.5–124.2) × 109/L, P < 0.001] and albumin levels [28.0 (24.9–31.9) g/L vs 30.8 (25.7–36.0) g/L, P = 0.004], together with higher ALT [58.1 (39.3–93.1) U/L vs 48.3 (27.0–77.6) U/L, P = 0.005] and aspartate aminotransferase [76.8 (55.5–116.6) U/L vs 65.2 (44.0–93.0) U/L, P = 0.034] levels. The frequencies of ascites, hepatic encephalopathy, esophageal variceal hemorrhage, and hepatocellular carcinoma were also comparable (Table 2). Overall, these findings indicate a less favorable baseline clinical and biochemical profile in patients with HDV infection, and crude outcome estimates were therefore interpreted alongside multivariable models adjusted for relevant clinical and demographic covariates.

Table 2 Baseline characteristics of the delta and non-delta viral infection groups, n (%)/median (interquartile range).
Characteristic
Delta group (n = 174)
Non-delta viral group (n = 92)
SMD
P value
Age (years)48.0 (42.0-54.0)53.0 (48.0-58.0)0.58< 0.001
Female sex78 (45)30 (33)0.250.072
Rural residence107 (61)38 (41)0.410.003
BMI (kg/m2)24.8 (22.8-27.1)26.4 (24.5-28.1)0.40< 0.001
ALT (U/L)58.1 (39.3-93.1)48.3 (27.0-77.6)0.190.005
AST (U/L)76.8 (55.5-116.6)65.2 (44.0-93.0)0.230.034
Platelets (×109/L)72.0 (49.0-103.5)97.8 (71.5-124.2)0.30< 0.001
Albumin (g/L)28.0 (24.9-31.9)30.8 (25.7-36.0)0.340.004
Total bilirubin (μmol/L)40.6 (23.5-60.5)34.2 (20.6-56.5)0.070.198
INR1.5 (1.3-1.7)1.4 (1.2-1.6)0.180.063
Creatinine (μmol/L)66.8 (57.7-75.0)69.3 (60.3-80.9)0.290.070
Sodium (mmol/L)138.0 (135.0-140.1)139.1 (136.0-141.0)0.220.065
Ascites110 (63)46 (50)0.270.051
Hepatic encephalopathy68 (39)25 (27)0.260.067
Esophageal variceal hemorrhage35 (20)25 (27)0.170.190
Hepatocellular carcinoma31 (18)18 (20)0.040.854
MELD15.0 (12.0-17.0)14.0 (10.0-17.0)0.150.249
MELD-Na15.0 (12.0-18.8)15.0 (10.0-17.2)0.220.074
MELD 3.016.5 (13.0-20.0)15.0 (11.0-18.2)0.290.029
Waiting-list time (days)247.5 (102.5-631)601.5 (173.5-1936.5)0.60< 0.001
Waiting-list death78 (44.8)42 (45.7)0.021.00
Transplantation72 (41.4)20 (21.7)0.430.002
Delisted1 (0.6)5 (5.4)0.290.035
Active in waiting list23 (13.2)25 (27.2)0.350.008
Severity scores and crude waiting-list outcomes

Baseline MELD and MELD-Na did not differ significantly between the delta and HBV monoinfection groups or between the delta and non-delta viral groups. MELD 3.0 at listing was higher in the delta group than in the non-delta viral group (16.5 vs 15.0, P = 0.029).

Median waiting-list time did not differ significantly between patients with HDV infection and those with HBV monoinfection [247.5 (102.5-631.0) days vs 281.0 (135.2-762.2) days, P = 0.593]. Waiting-list mortality was numerically lower in the HDV group (45% vs 63%), although the difference was not statistically significant (P = 0.094). Transplantation was more frequent among patients with HDV infection (41% vs 20%, P = 0.043), but this comparison should be interpreted cautiously because of the small HBV monoinfection group (n = 30) (Table 1).

When patients with HDV infection were compared with those with non-delta viral infection, median waiting-list time was significantly shorter among patients with HDV infection than among those with non-delta viral infection [247.5 (102.5-631.0) days vs 601.5 (173.5-1936.5) days, P < 0.001]. Waiting-list mortality was comparable in the two groups (44.8% vs 45.7%, P = 1.000). Transplantation was more frequent among patients with HDV infection (41.4% vs 21.7%, P = 0.002), while a higher proportion of patients with non-delta viral infection remained active on the waiting list at the end of follow-up (27.2% vs 13.2%, P = 0.008) and delisting was more frequent in that group (5.4% vs 0.6%, P = 0.035) (Table 2).

Cumulative incidence of waiting list events

In the overall cohort, the CIF for waiting-list death reached 19.5% at 1 year and 42.6% (95%CI: 37.3-48.0) at 5 years. For transplantation, the corresponding values were 25.4% at 1 year and 34.4% (95%CI: 29.1-39.8) at 5 years. During the first 12 months the two cumulative incidences were broadly comparable. From the second year onward, however, mortality progressively exceeded transplantation. This divergence may reflect a mismatch between the rate of clinical deterioration and the availability of timely transplantation during longer follow-up. These estimates are consistent with the 35%-45% 5-year waiting-list mortality reported by the European Liver Transplant Registry among patients with viral cirrhosis[22], supporting the external relevance of the present national cohort.

The 5-year cumulative incidence of waiting-list death was 45.9% (95%CI: 38.1-53.8) in the delta group and 42.9% (95%CI: 32.1-53.7) in the non-delta viral group, without a significant difference (Gray’s test, P = 0.696), whereas the cumulative incidence of transplantation was 43.1% (95%CI: 35.4-50.9) vs 21.7% (95%CI: 13.0-30.4) (P = 0.001) (Figure 2A and Table 3). In the comparison with HBV monoinfection group, the 5-year cumulative incidence of death was numerically higher in the monoinfected group (66.4%, 95%CI: 47.3-85.5, vs 45.9% in the delta group; P = 0.065) and the cumulative incidence of transplantation was lower (20.7%, 95%CI: 5.5-35.9, vs 43.1%; P = 0.030); given the small size of this subgroup (n = 30), the wide confidence intervals indicate that these estimates should be regarded as exploratory (Figure 2B and Table 3).

Figure 2
Figure 2 Cumulative incidence of waiting-list death and liver transplantation. A: In the delta group and non-delta viral group. Cumulative incidence functions were estimated using the Aalen-Johansen method for 266 patients with viral liver disease and stratified by infection status as delta group and non-delta viral group, with waiting-list death and liver transplantation treated as competing events. Shaded areas represent 95%CI. The cumulative incidence of waiting-list death was similar between groups (Gray’s test, P = 0.696), whereas transplantation occurred significantly more frequently in the hepatitis delta virus group (Gray’s test, P = 0.001); B: In the delta group and hepatitis B virus monoinfection group. Cumulative incidence functions were estimated using the Aalen-Johansen method in 204 patients and stratified by infection status, with waiting-list death and liver transplantation treated as competing events. Shaded areas represent 95%CI. Owing to the small number of patients in hepatitis B virus monoinfection group (n = 30), the confidence intervals are wide, particularly for waiting-list death; therefore, mortality findings in this subgroup should be interpreted cautiously and regarded as exploratory. HDV: Hepatitis delta virus; HBV: Hepatitis B virus.
Table 3 Cumulative incidence of waiting-list death and transplantation at 1 and 5 years, by group, 95%CI.
Group
Death 1 year
Death 5 years
Gray P
Transplantation 1 year
Transplantation 5 years
Gray P value
Delta group vs non-delta viral group
Delta group23.7 (17.1-30.2)45.9 (38.1-53.8)0.69631.7 (24.6-38.8)43.1 (35.4-50.9)0.001
Non-delta viral group15.7 (8.1-23.3)42.9 (32.1-53.7)19.2 (10.9-27.5)21.7 (13.0-30.4)
Delta group vs HBV monoinfection group
Delta group23.7 (17.1-30.2)45.9 (38.1-53.8)0.06531.7 (24.6-38.8)43.1 (35.4-50.9)0.030
HBV monoinfection group27.7 (10.9-44.5)66.4 (47.3-85.5)20.7 (5.5-35.9)20.7 (5.5-35.9)
Independent predictors of waiting-list mortality

In the multivariable cause-specific Cox model for waiting-list death, HDV infection was independently associated with mortality [cause-specific hazard ratio (csHR) = 2.01, 95%CI: 1.40-2.89; P < 0.01], indicating a twofold higher cause-specific hazard of death after adjustment for age, sex, MELD-Na score, and era of inclusion (Figure 3 and Table 4). Female sex was associated with a lower cause-specific hazard of death (csHR = 0.53, 95%CI: 0.37-0.77), and MELD-Na predicted mortality (csHR = 1.07 per point, 95%CI: 1.03-1.11). In the corresponding Fine-Gray model, the subdistribution hazard of death associated with HDV was not significantly increased [subdistribution hazard ratio (sHR) = 1.20, 95%CI: 0.89-1.62], whereas MELD-Na remained associated with the cumulative incidence of death (sHR = 1.04 per point, 95%CI: 1.01-1.07) (Table 5). Although the contrast between the two hazard scales may appear paradoxical, it is consistent with the structure of competing-risks analysis. Because transplantation removes patients from the risk set for death, an elevated cause-specific hazard can coexist with an unchanged cumulative incidence when the competing event occurs more frequently in the same group. Age and era of inclusion were not independently associated with waiting-list death on either scale.

Figure 3
Figure 3 Multivariable cause-specific and subdistribution hazard models for waiting-list death and liver transplantation. The forest plot presents adjusted cause-specific hazard ratios from Cox regression and adjusted subdistribution hazard ratios from Fine-Gray regression in 313 patients (all cohort). Hepatitis D virus (HDV) infection was associated with an approximately twofold higher cause-specific hazard of death, whereas the corresponding subdistribution hazard ratio was closer to unity, indicating attenuation of the cumulative incidence of death by the competing effect of more frequent transplantation in patients with HDV. For transplantation, HDV infection was associated with hazard ratios above unity in both models, indicating higher instantaneous and cumulative transplantation rates. Female sex was associated with a lower hazard of waiting-list death. Age and model for end-stage liver disease-sodium were modeled per one-year and one-point increase, respectively. Circles indicate cause-specific hazard ratios, triangles indicate subdistribution hazard ratios, and horizontal bars represent 95%CI. Estimates are shown on a logarithmic scale, with the dashed vertical line at 1 indicating no association. HDV: Hepatitis delta virus; MELD-Na: Model for end-stage liver disease–sodium.
Table 4 Multivariable cause-specific Cox models.
Covariate
Death, csHR (95%CI)
Transplantation, csHR (95%CI)
HDV infection2.01 (1.40-2.89)a2.41 (1.56-3.73)a
Age (year)1.01 (1.00-1.03)1.01 (0.99-1.03)
Female sex0.53 (0.37-0.77)a1.05 (0.71-1.56)
MELD-Na (per point)1.07 (1.03-1.11)a1.06 (1.02-1.11)a
Era II vs I1.00 (0.69-1.45)1.30 (0.86-1.95)
Table 5 Multivariable fine-gray subdistribution hazard models.
Covariate
Death, sHR (95%CI)
Transplantation, sHR (95%CI)
HDV infection1.20 (0.89-1.62)1.89 (1.25-2.86)a
Age (year)1.01 (0.99-1.02)1.00 (0.98-1.02)
Female sex0.59 (0.44-0.81)a1.24 (0.86-1.79)
MELD-Na (per point)1.04 (1.01-1.07)a1.04 (1.00-1.08)
Era II vs I0.79 (0.57-1.09)1.15 (0.79-1.68)
Independent predictors of access to transplantation

In the multivariable models for transplantation, HDV infection was independently associated with greater access to transplantation on both scales (csHR = 2.41, 95%CI: 1.56-3.73; sHR = 1.89, 95%CI: 1.25-2.86), indicating that HDV candidates reached transplantation both earlier and more frequently than non-delta candidates (Figure 3, Tables 4 and 5). MELD-Na predicted higher transplantation probability (csHR = 1.06 per point, 95%CI: 1.02-1.11), which is the expected behavior of a score designed around the principle of allocating organs to the sickest first. Female sex was not independently associated with access to transplantation (csHR = 1.05, 95%CI: 0.71-1.56; sHR = 1.24, 95%CI: 0.86-1.79). The sex-related difference observed in this cohort therefore concerned mortality rather than allocation. Women had a lower cause-specific hazard of waiting-list death, corresponding to a higher risk in men, a pattern that persisted after adjustment for biochemical severity.

Sensitivity analyses

When the comparator was restricted, the delta group remained more severely affected on granular markers of disease severity despite similar MELD scores (Table 6). The association between HDV infection and cause-specific waiting-list mortality was unchanged when the comparator was restricted to non-delta viral infection (csHR = 2.12, 95%CI: 1.38-3.24) and when MELD-Na was replaced by MELD 3.0 (csHR = 2.03, 95%CI: 1.41-2.92); the comparison with HBV monoinfection was limited by the small size of that subgroup (n = 30) and remained exploratory (Figure 4 and Table 6). The greater access to transplantation associated with HDV infection was likewise reproduced with the restricted comparators: vs viral non-delta cirrhosis, csHR = 2.71 (95%CI: 1.58-4.64) and sHR = 2.09 (95%CI: 1.20-3.64); vs HBV monoinfection, csHR = 2.18 (95%CI: 0.95-5.02) and sHR = 2.38 (95%CI: 1.02-5.56), the latter estimated with a reduced model because of the small subgroup size (Table 7). Estimates were stable across incremental adjustment (csHR: 1.88-2.11; sHR: 1.16-1.20; Table 8). In an extended model additionally including hepatocellular carcinoma, antiviral therapy, albumin and ascites, hepatocellular carcinoma was an independent predictor of waiting-list death (csHR = 2.38, 95%CI: 1.48-3.84) and the HDV effect persisted (csHR = 1.90, 95%CI: 1.30-2.77; Table 9).

Figure 4
Figure 4 Sensitivity analysis of the association between hepatitis delta virus infection and competing waiting-list outcomes across alternative comparison cohorts. Adjusted cause-specific and Fine-Gray hazard ratios with 95%CI are shown for waiting-list death and liver transplantation in the full cohort (313 patients-all patient included in study), the viral nondelta cohort (266 patients-patients from delta and nondelta viral groups), and the hepatitis B virus (HBV) mono cohort (204 patients-delta and HBV monoinfection group). Hepatitis delta virus infection was associated with higher cause-specific mortality in the full and viral non-delta cohorts and with higher transplantation hazards across all comparisons. The dashed vertical line indicates a hazard ratio of 1. HBV: Hepatitis B virus.
Table 6 Hepatitis delta virus effect on waiting-list death, by comparator and model.
Comparison and model
n
csHR (95%CI)
sHR (95%CI)
Delta group vs non-delta viral group 2662.12 (1.38-3.24)b1.19 (0.84-1.68)
Delta group vs HBV monoinfection group2040.82 (0.49-1.35)0.60 (0.40-0.91)a
Model with MELD 3.03132.03 (1.41-2.92)b1.20 (0.89-1.62)
Table 7 Hepatitis delta virus effect on access to transplantation, by comparator and model.
Comparison and model
n
csHR (95%CI)
sHR (95%CI)
Delta group vs all non-delta (primary)3132.41 (1.56-3.73)b1.89 (1.25-2.86)b
Delta group vs non-delta viral group2662.71 (1.58-4.64)b2.09 (1.20-3.64)b
Delta group vs HBV monoinfection group2042.18 (0.95-5.02)2.38 (1.02-5.56)a
Table 8 Incremental adjustment of the hepatitis delta virus effect on waiting-list death.
Model
Covariates added
sHR (95%CI)
csHR (95%CI)
M0HDV1.17 (0.87-1.57)1.88 (1.32-2.66)b
M1+ age1.17 (0.87-1.58)1.93 (1.35-2.74)b
M2+ sex1.20 (0.89-1.61)2.11 (1.48-3.03)b
M3+ MELD-Na1.17 (0.87-1.57)2.01 (1.40-2.88)b
M4+ era1.20 (0.89-1.62)2.01 (1.40-2.89)b
M5+ albumin + ascites1.16 (0.86-1.57)1.99 (1.37-2.87)b
Table 9 Extended multivariable models for waiting-list death.
Covariate
csHR (95%CI)
sHR (95%CI)
HDV infection1.90 (1.30-2.77)b1.14 (0.84-1.55)
Age (year)1.01 (0.99-1.03)1.00 (0.99-1.02)
Female sex0.60 (0.41-0.88)b0.63 (0.46-0.86)b
MELD-Na per point1.07 (1.03-1.11)b1.03 (1.00-1.07)
Era II vs I0.86 (0.57-1.31)0.75 (0.53-1.08)
Albumin (per g/L)1.01 (0.97-1.04)0.99 (0.97-1.02)
Ascites1.50 (1.02-2.21)a1.31 (0.95-1.80)
Hepatocellular carcinoma2.38 (1.48-3.84)b1.33 (0.91-1.93)
Antiviral therapy0.92 (0.48-1.76)0.88 (0.49-1.57)
Proportional-hazards diagnostics

The proportional-hazards assumption showed no evidence of violation for either cause-specific model (global scaled Schoenfeld residual test, P = 0.82 for waiting-list death and P = 0.41 for transplantation; HDV-specific P = 0.48 and P = 0.06, respectively; Figure 5 and Table 10). Thus, there was no statistically significant evidence that the effect of HDV on the instantaneous cause-specific hazard of either waiting-list death or transplantation changed over time. Although the HDV-specific P value for transplantation (P = 0.06) was close to the conventional significance threshold, it did not indicate a formal violation of the proportional-hazards assumption.

Figure 5
Figure 5 Assessment of the proportional hazard assumption for the cause-specific Cox model. A: For Waiting-list death. Scaled Schoenfeld residuals are plotted against Kaplan-Meier-transformed follow-up time for each covariate. Open circles represent the residuals, solid lines show smoothed time-varying effects, and dashed lines indicate 95% confidence bands. Approximately horizontal trends support the proportional hazards assumption. No significant time-dependent effect was observed for hepatitis delta virus infection (P = 0.479) or for the model overall (global test, P = 0.819). Minor fluctuations late in follow-up should be interpreted cautiously because of the smaller number of patients at risk and greater uncertainty; B: For liver transplantation. Most covariates showed no relevant variation in their effects over follow-up. Hepatitis D virus (HDV) infection displayed a modest upward trend, consistent with a stronger transplantation effect after the first year and a Schoenfeld test that approached, but did not reach, statistical significance (P = 0.061). This finding suggests a possible temporal variation in the HDV-associated transplantation hazard without providing formal evidence of non-proportionality. HDV: Hepatitis delta virus; MELD-Na: Model for end-stage liver disease–sodium.
Table 10 Proportional-hazards diagnostics-scaled schoenfeld residuals (cause-specific Cox models).
Covariate
Waiting-list death (P value)
Transplantation (P value)
HDV 0.4790.061
Age (year)0.5370.334
Female sex0.8940.377
MELD-Na (per point)0.9380.556
Era 2018-20250.2300.971
Global0.8190.408

For the Fine-Gray models, the HDV-by-time interaction was non-significant for transplantation (P = 0.55) but significant for waiting-list death (P = 0.036), indicating that the subdistribution effect of HDV on waiting-list mortality varied over time (Table 11). Consequently, the overall subdistribution hazard ratio for HDV should be interpreted as an average effect across follow-up rather than as a constant effect throughout the waiting-list period.

Table 11 Subdistribution proportionality for hepatitis delta virus (fine-gray hepatitis delta virus × time interaction).
Model
Hepatitis delta virus × time coefficient
P value
Waiting-list death-0.220.036
Transplantation-0.070.550

Splitting follow-up at one year showed that the adverse association between HDV infection and waiting-list death persisted throughout follow-up. HDV was associated with a higher cause-specific hazard of death both during the first year (csHR = 1.81, 95%CI: 1.05-3.14) and thereafter (csHR = 2.16, 95%CI: 1.35–3.44), with no evidence of attenuation over time. In contrast, although HDV was also associated with a higher cause-specific hazard of transplantation during both periods, this association was substantially stronger after the first year, increasing from a csHR of 1.81 (95%CI: 1.11-2.97) during the first year to 4.95 (95%CI: 2.13-11.50) thereafter (Table 12). The marked increase in transplantation among patients with HDV after the first year provides a plausible explanation for the time-varying subdistribution effect observed in the Fine-Gray mortality model. Although the underlying cause-specific mortality hazard associated with HDV remained elevated, the progressively stronger competing effect of transplantation altered the cumulative incidence of waiting-list death over time.

Table 12 Cause-specific hepatitis delta virus hazard ratio by follow-up interval (split at 1 year).
Follow-up interval
Waiting-list death, csHR (95%CI)
Transplantation, csHR (95%CI)
< 1 year1.81 (1.05-3.14)1.81 (1.11-2.97)
≥ 1 year2.16 (1.35-3.44)4.95 (2.13-11.50)

The convergence of the cumulative incidence curves for waiting-list death may therefore reflect the progressively stronger competing effect of transplantation rather than attenuation of the underlying mortality hazard associated with HDV. As patients with HDV were increasingly transplanted during follow-up, they were removed from the population remaining at risk of waiting-list death, thereby reducing the extent to which their persistently higher cause-specific mortality hazard was expressed in the cumulative incidence of death. To determine whether the higher incidence of transplantation in the HDV group was driven primarily by very early transplantation after listing, sensitivity analyses were performed after excluding transplantations occurring within 30 and 90 days of listing. The association between HDV infection and transplantation remained significant after both exclusions (sHR = 2.14, 95%CI: 1.35–3.39 and sHR = 1.95, 95%CI: 1.18-3.24, respectively; Table 13). These findings indicate that the higher transplantation incidence among patients with HDV was not attributable solely to very early transplantation and support a sustained competing effect of transplantation throughout follow-up.

Table 13 Hepatitis delta virus subdistribution hazard ratios after excluding early transplantation.
Model
Excluded, n
HDV-death, sHR (95%CI)
HDV-transplantation, sHR (95%CI)
Full model (reference)01.20 (0.85-1.70)1.89 (1.22-2.92)a
Excluding transplant < 30 days131.18 (0.83-1.69)2.14 (1.35-3.39)a
Excluding transplant < 90 days331.32 (0.92-1.90)1.95 (1.18-3.24)a
DISCUSSION

Using competing-risks methodology in the complete national liver transplant cohort, we assessed whether HDV infection provided prognostic information beyond standard severity markers. In the model for waiting-list death, HDV infection was independently associated with a twofold higher cause-specific hazard of death after adjustment for age, sex, MELD-Na score, and era of inclusion (csHR = 2.01, 95%CI: 1.40-2.89), whereas the corresponding subdistribution hazard was not significantly increased (sHR = 1.20, 95%CI: 0.89-1.62). In the unadjusted cumulative incidence analysis, the 5-year cumulative incidence of waiting-list mortality was comparable between the HDV and non-delta viral groups (45.9% vs 42.9%; Gray’s test, P = 0.696). However, this crude comparison was influenced by differences in baseline characteristics and, importantly, by the competing event of transplantation. Patients with HDV underwent transplantation more frequently, thereby being removed earlier from the population remaining at risk of waiting-list death, whereas patients in the non-delta viral group were older and were transplanted less often. Consequently, the unadjusted cumulative incidence of death was similar between the groups despite an underlying adverse effect of HDV. After adjustment for age, sex, MELD-Na score, and era of inclusion, HDV infection was independently associated with a higher risk of waiting-list mortality.

In contrast, HDV infection was independently associated with greater access to transplantation (csHR = 2.41; sHR = 1.89). Female sex was independently associated with a lower cause-specific hazard of waiting-list death (csHR = 0.53), corresponding to a higher mortality risk in men, without a significant difference in access to transplantation.

The excess cause-specific mortality of HDV candidates is compatible with the biological aggressiveness of the infection rather than with a systematic disadvantage imposed by the allocation system, which in fact granted HDV candidates more frequent access to transplantation. These observations may inform future consideration of HDV status within frameworks analogous to existing MELD exception policies, such as those for hepatocellular carcinoma, portopulmonary hypertension, and hepatopulmonary syndrome. In each of these conditions, exception points compensate for a survival risk that standard MELD-Na fails to capture. The excess cause-specific waiting-list mortality observed in HDV candidates suggests that a similar rationale may apply; however, a formal exception policy would require external validation in independent cohorts, larger samples, and assessment of absolute risk prediction before it could be recommended. Published series from other HDV-endemic countries of Eastern Europe have mainly reported prevalence, natural history or post-transplant outcomes, whereas waiting-list outcomes analyzed within a competing-risks framework have rarely been described in the region. The present study evaluates the prognostic value of HDV infection after adjustment for biochemical disease severity, using data from a complete national liver transplant cohort.

The attenuation of the MELD-Na association on the subdistribution scale (sHR = 1.04 per point) relative to the cause-specific scale (csHR = 1.07 per point) likely reflects the competing effect of transplantation, as higher-priority candidates are removed from the waiting list earlier, rather than a lack of prognostic value of MELD-Na. Conditional on remaining listed, their cause-specific hazard of death is certainly higher, but the subdistribution hazard is attenuated because transplantation competes directly with death. Because transplantation competes with waiting-list death, Fine-Gray models are appropriate for analysing waiting-list outcomes in organ allocation studies.

The lower cause-specific hazard of waiting-list death among women (csHR = 0.53), corresponding to a higher risk in men, should be interpreted with caution, although the association persisted after adjustment for MELD-Na score, age, etiology, and era. Similar sex-related differences in waiting-list outcomes have been reported in other cohorts and contributed to the development of the sex adjustment incorporated into MELD = 3.0[7]. Potential explanations include differences in body size and donor-recipient size matching, timing of referral, and factors related to allocation pathways that are not fully captured by MELD-based prioritization. These findings support the need for further evaluation of sex-specific access to transplantation within the national allocation system.

The main practical implication is that these data may inform future consideration of HDV status as a potential modifier of waiting-list prioritization, within a framework analogous to existing MELD exception policies. A complementary prognostic tool combining MELD-Na with HDV status could further improve risk stratification in HDV-endemic settings. This possibility is being explored separately through the derivation of a Delta Prognostic Score.

The national allocation system uses the descriptive categories “urgent” and “super-urgent”, but during the study period these did not correspond to a formally codified allocation status applied according to explicit clinical criteria, and they were therefore not modeled as a covariate. Because early transplantation could nevertheless reflect urgent prioritization, transplantations performed within 30 and 90 days of listing were excluded in a sensitivity analysis. The number of such procedures was small (13 and 33, respectively), and the association between HDV infection and transplantation persisted, indicating that the greater access to transplantation observed in HDV candidates was not driven by urgent cases but occurred within the elective allocation pathway.

Although the study is based on a complete national liver transplant cohort, its single-center design limits the generalizability of the findings, and external validation in other HDV-endemic populations remains necessary. The national transplant system is distinctive in that it combines national and international transplant pathways. Therefore, findings about allocation in Moldova should be interpreted carefully before applying them to larger transplant systems. Residual confounding cannot be excluded, in particular because the primary comparator group was etiologically heterogeneous; this was mitigated, but not eliminated, by the restricted-comparator analyses. The retrospective phase relied on archival records, and although the ambispective design allowed harmonization of variables, some misclassification of secondary outcomes, particularly delisting, cannot be excluded. MELD-Na was modeled as a baseline exposure at listing, without incorporating dynamic changes during the waiting period. Finally, the subdistribution hazard ratio does not carry the same clinical interpretation as a cause-specific hazard, a distinction that is relevant when the results are used to inform allocation policy.

CONCLUSION

In this national cohort, HDV infection was associated with an approximately twofold higher cause-specific hazard of waiting-list death. This excess did not translate into higher absolute waiting-list mortality, because delta candidates underwent transplantation earlier and more frequently. HDV status may be used as an additional factor in transplant risk stratification, especially in HDV-endemic settings. A formal MELD exception is not supported, given the similar absolute mortality and the lack of external validation.

ACKNOWLEDGEMENTS

The authors thank the National Agency of Transplantation of the Republic of Moldova and the team of the Hepatobiliary Surgery and Hepatology Department, Republican Clinical Hospital Timofei Mosneaga, Chisinau, for support with data collection and clinical follow-up.

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Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country of origin: Moldova

Peer-review report’s classification

Scientific quality: Grade B, Grade C

Novelty: Grade B, Grade B

Creativity or innovation: Grade C, Grade C

Scientific significance: Grade C, Grade C

P-Reviewer: He J, Lecturer, PhD, China; Sima J, Academic Fellow, China S-Editor: Liu H L-Editor: A P-Editor: Wang WB

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