| Literature DB >> 33442458 |
Anaïs Brayette1, Marie Essig2, Paul Carrier1, Marilyne Debette-Gratien1, Anaïs Labrunie3, Sophie Alain4, Marianne Maynard5, Nathalie Ganne-Carrié6, Eric Nguyen-Khac7, Pauline Pinet8, Victor De Ledinghen9, Christophe Renou10, Philippe Mathurin11, Claire Vanlemmens12, Vincent Di Martino12, Anne Gervais13, Juliette Foucher9, Fouchard-Hubert Isabelle14, Julien Vergniol9, Isabelle Hourmand-Ollivier15, Daniel Cohen16, Xavier Duval13, Thierry Poynard17, Marc Bardou18, Armand Abergel19, Manh-Thong Dao15, Thierry Thévenot12, Jean-Baptiste Hiriart9, Valérie Canva11, Guillaume Lassailly11, Christine Aurières20, Nathalie Boyer20, Dominique Thabut17, Pierre-Henri Bernard21, Matthieu Schnee22, Dominique Larrey23, Bertrand Hanslik24, Séverine Hommel25, Jérémie Jacques1, Véronique Loustaud-Ratti26.
Abstract
BACKGROUND: The recommended monitoring tools for evaluating nucleot(s)ide analogue renal toxicity, such as estimated glomerular filtration rate (eGFR) and phosphatemia, are late markers of proximal tubulopathy. Multiple early markers are available, but no consensus exists on their use. AIM: To determine the 24 mo prevalence of subclinical proximal tubulopathy (SPT), as defined with early biomarkers, in treated vs untreated hepatitis B virus (HBV)-monoinfected patients.Entities:
Keywords: Biomarkers; Hepatitis B virus; Nucleoside analogues; Proximal tubulopathy; Renal insufficiency
Year: 2020 PMID: 33442458 PMCID: PMC7772739 DOI: 10.4254/wjh.v12.i12.1326
Source DB: PubMed Journal: World J Hepatol
Figure 1Data were obtained from 214 patients between December 2011 and December 2013; 18 were excluded from the analysis. eGFR: Estimated glomerular filtration rate; ETV: Entecavir; HBV: Hepatitis B virus; IFN: Interferon alpha; TDF: Tenofovir disoproxil; SPT: Subclinical proximal tubulopathy.
Characteristics of the patients with no subclinical proximal tubulopathy at on day 0
| Male | 72 (52.2%) | 19 (67.9%) | 39 (46.4%) | 14 (53.8%) | 0.05 | 0.51 | |
| Age in yr | 37.5 (29; 47); ( | 45.5 (31; 57.5); ( | 36.5 (29; 45); ( | 35.5 (24; 42) ( | 0.08 | 0.22 | |
| BMI in kg/m2 | 24.5 (21.3; 27.8); ( | 25 (22.2; 29); ( | 24.8 (21.7; 28.7); ( | 21.8 (19; 26.5); ( | 0.91 | 0.02 | |
| Ethnicity | |||||||
| -African | 65 (47.1%) | 7 (25.0%) | 44 (52.4%) | 14 (53.8%) | 0.003 | 0.05 | |
| -Asian | 16 (11.6%) | 7 (25.0%) | 4 (4.8%) | 5 (19.2%) | |||
| -White | 57 (41.3%) | 14 (50.0%) | 36 (42.9%) | 7 (26.9%) | |||
| Phases of infection | |||||||
| -HbeAg + chronic infection | 6 (4.3%) | 3 (10.7%) | 3 (3.6%) | 0 (0.0%) | < 0.0001 | < 0.0001 | |
| -HbeAg + chronic hepatitis | 15 (10.9%) | 6 (21.4%) | 3 (3.6%) | 6 (23.1%) | |||
| -HbeAg-chronic infection | 60 (43.5%) | 1 (3.6%) | 57 (67.9%) | 2 (7.7%) | |||
| -HbeAg-chronic hepatitis | 57 (41.3%) | 18 (64.3%) | 21 (25.0%) | 18 (69.2%) | |||
| Diabetes | 9 (6.5%) | 5 (17.9%) | 4 (4.8%) | 0 (0.0%) | 0.04 | 0.57 | |
| High blood pressure | 25 (18.1%) | 9 (32.1%) | 12 (14.3%) | 4 (15.4%) | 0.04 | 1.00 | |
| Renal insufficiency | 1 (0.7%) | 0 (0%) | 1 (1.2%) | 0 (0%) | 1.00 | 1.00 | |
| Viral load | |||||||
| -PCR < 2000 UI/mL | 69 (61.6%) | 3 (15.8%) | 60 (77.9%) | 6 (37.5%) | < 0.0001 | < 0.0001 | |
| -PCR ≥ 2000 et < 20000 UI/mL | 22 (19.6%) | 6 (31.6%) | 16 (20.8%) | 0 (0%) | |||
| -PCR ≥ 20000 UI/mL and < 7 (log) | 13 (11.6%) | 6 (31.6%) | 1 (1.3%) | 6 (37.5%) | |||
| PCR > 7 (log) | 8 (7.1%) | 4 (21.1%) | 0 (0%) | 4 (2.5%) | < 0.0001 | < 0.0001 | |
| ALAT UI/L | 25 (17; 36); ( | 40 (25; 57); ( | 19 (15; 26); ( | 46 (28; 70); ( | |||
| Fibrosis | |||||||
| -F0/F1 | 103 (84.4%) | 13 (56.5%) | 73 (94.8%) | 17 (77.3%) | < 0.0001 | 0.0067 | |
| -F2 | 5 (4.1%) | 2 (8.7%) | 2 (2.6%) | 1 (4.5%) | |||
| -F2/F3 | 8 (6.6%) | 6 (26.1%) | 2 (2.6%) | 0 (0%) | |||
| -F3 | 1 (0.8%) | 0 (0.0%) | 0 (0%) | 1 (4.5%) | |||
| -F3/F4 | |||||||
| -F4 | 5 (4.1%) | 2 (8.7%) | 0 (0%) | 3 (13.6%) | |||
| Fibrosis F0/F1 | |||||||
| -F0/F1 | 103 (84.4%) | 13 (56.5%) | 73 (94.8%) | 17 (77.3%) | < 0.0001 | 0.02 | |
| -≥ F2 | 19 (15.6%) | 10 (43.5%) | 4 (5.2%) | 5 (22.7%) | |||
| Previous HBV therapy | 14 (10.1%) | 5 (17.9%) | 0 (0.0%) | 9 (34.6%) | 0.0007 | < 0.0001 | |
| Nephrotoxic drugs | 12 (6.1%) | 4 (10.5%) | 6 (5.2%) | 2 (4.8%) | 0.22 | 1.00 | |
Chi2 test.
Mann-Whitney test.
Fisher’s exact test.
Evaluated by liver biopsy or FibroScan.
METAVIR classification. BMI: Body mass index; ALAT: Alanine aminotransferase; ETV: Entecavir; HbeAG: Hepatitis B e-antigen; HBV: Hepatitis B virus; Max: Maximum; Min: Minimum; Q1: First quartile; Q3: Third quartile; TDF: Tenofovir disoproxil.
Clinical characteristics of the patients with no subclinical proximal tubulopathy at on day 0
| Phosphatemia, mmoL/L | 1.1 (1.0; 1.2); ( | 1.1 (1.0; 1.1); ( | 1.0 (1.0; 1.2); ( | 1.0 (0.9; 1.2); ( | 0.40 | 0.98 |
| Plasma creatinine, μmoL/L | 73 (58; 85); ( | 78.4 (66; 84); ( | 71 (58; 87); ( | 76.9 (57.5; 87); ( | 0.23 | 0.77 |
| eGFR (MDRD), mL/min/1.73 m² | 94.5 (82.6; 107.6); ( | 91 (84.2; 101); ( | 94.8 (80.7; 108.1); ( | 95.4 (84.3; 108.4); ( | 0.37 | 0.65 |
| 25(OH)D3, ng/mL | 15.9 (9.9; 22.2); ( | 16.8 (12.6; 24.8); ( | 14.8 (9.4; 21); ( | 15.3 (9.8; 22.7); ( | 0.27 | 0.95 |
| TmPi/eGFR, mmoL/L | 1 (0.9; 1.1); ( | 1 (0.9; 1.2); ( | 1 (0.9; 1.1); ( | 1 (0.8; 1.2); ( | 0.24 | 0.86 |
| FEUA, % | 5.8 (4.5; 7.1); ( | 5.9 (4.7; 7.5); ( | 5.8 (4.4; 7); ( | 5.5 (4.5; 6.7); ( | 0.64 | 0.95 |
Student’s test.
Mann-Whitney test. 25(OH)D3: 25-hydroxyvitamin D3; eGFR: Estimated glomerular filtration rate; ETV: Entecavir; FEUA: Fractional excretion rate of uric acid; Max: Maximum; Min: Minimum; Q1: First quartile; Q3: Third quartile; TDF: Tenofovir disoproxil.
Subclinical proximal tubulopathy prevalence at month 24 in the entecavir, naive and tenofovir disoproxil groups
| Missing values | 45 | 9 | 22 | 14 | |||
| SPT prevalence at M24; ( | 29 (31.2%); (22.0-41.6) | 4 (21.1%); (6.1-45.6) | 19 (30.7%); (19.6-43.7) | 6 (50.00%); (21.1-78.9) | 0.42 | 0.32 | |
Chi2 test.
Fisher’s exact test. CI: Confidence interval; ETV: Entecavir; SPT: Subclinical proximal tubulopathy; TDF: Tenofovir disoproxil.
Potential confounding factors at baseline susceptible to influence the prevalence of subclinical proximal tubulopathy at month 24 between the different groups in univariate analysis
| Fibrosis | ≥ F2 | 1.09 (0.32-3.67) | 0.89 | 0.89 |
| Group | ETV | 0.41 (0.09-1.83) | 0.24 | 0.043 |
| TDF | 2.28 (0.98-5.30) | 0.05 | ||
| Sex | Female | 0.85 (0.38-1.87) | 0.68 | 0.68 |
| Ethnicity | African | 0.91 (0.41-2.04) | 0.83 | 0.63 |
| Asian | 0.36 (0.05-2.84) | 0.33 | ||
| Diabetes | Yes | 0.63 (0.08-4.67) | 0.65 | 0.65 |
| Previous hypertension | Yes | 1.26 (0.50-3.17) | 0.63 | 0.63 |
| Viral load | Low | 0.94 (0.30-2.89) | 0.91 | 0.46 |
| Elevated | 2.38 (0.77-7.34) | 0.13 | ||
| Very elevated | 1.40 (0.40-4.93) | 0.60 | ||
| Previous HBV therapy | Yes | 1.11 (0.33-3.74) | 0.86 | 0.86 |
| Age at inclusion | 1.02 (0.98-1.05) | 0.35 | ||
| BMI at inclusion | 0.98 (0.89-1.08) | 0.67 | ||
| ALAT at inclusion | 1.00 (0.99-1.01) | 0.67 |
ALAT: Alanine aminotransferase; BMI: Body mass index; ETV: Entecavir; HBV: Hepatitis B virus; HR: Hazard ratio; TDF: Tenofovir disoproxil.
Figure 2Kaplan Meier curves for free subclinical proximal tubulopathy survival among the different groups (entecavir, naive, tenofovir disoproxil). ETV: Entecavir; TDF: Tenofovir disoproxil.