| Literature DB >> 31608211 |
Shahnaz Sali1, Mohammad Darvishi2, Mojtaba GhasemiAdl3, Meisam Akhlaghdoust4, Azin Mirzazadeh5, Somayeh Elikaei Behjati6, Hossein Sheikh-Zeinolabedini6, Shervin Shokouhi1, Soheil Tavakolpour1,3.
Abstract
Background and Aims: The perinatal transmission of hepatitis B virus (HBV) remains an important global health problem. Here, a systematic review and meta-analysis were conducted to evaluate the evidence regarding the efficacy and maternal/fetal safety of treating pregnant women with lamivudine, telbivudine (LdT), and tenofovir (TDF).Entities:
Keywords: Antiviral therapy; Hepatitis B virus; Lamivudine; Nucleos(t)ide analogues; Pregnancy; Telbivudine; Tenofovir
Year: 2019 PMID: 31608211 PMCID: PMC6783676 DOI: 10.14218/JCTH.2019.00021
Source DB: PubMed Journal: J Clin Transl Hepatol ISSN: 2225-0719
Fig. 1.The study selection process.
Characteristics of the included studies
| Author, year | Region | Participants, mothers: infants | Interventions, mothers | Hepatitis B immune globulin and vaccine# | Maternal age in years | Baseline HBV DNA level, Log10 IU/mL | Baseline alanine aminotransferase, U/L | Treatment start, gestational week | Treatment discontinuation. postpartum week | Duration up to delivery, week | Study design |
| Li, 2003 | China | 43:43 | Lamivudine | N/A | N/A | 7.49 ± 0.54 | N/A | 28 | 4 | 12 | RCT |
| 52:52 | Control | N/A | 7.05 ± 1.29 | ||||||||
| Zonneveld, 2003 | Netherlands | 8:8 | Lamivudine | Yes | 21.25 ± 2.65 | 9.30 | 32.4 ± 16.3 | 34 | At delivery | 6 | Cohort study |
| 24:25 | Control | 23 (16–34) | 9.39 | N/A | |||||||
| Su, 2004 | China | 38:12 | Lamivudine | Yes | N/A | N/A | N/A | N/A | N/A | N/A | Cohort study |
| 10:10 | Control | N/A | N/A | N/A | |||||||
| Ni, 2005 | Taiwan | 29:29 | Lamivudine | N/A | 14.7 ± 5.6 | 10.95 | 214 ± 195 | N/A | N/A | N/A | Prospective, open-label, nonrandom |
| 29:29 | Control | 14.0 ± 5.8 | 9.32 | 165 ± 123 | |||||||
| Xu, 2009 | United Kingdom | 89:56 | Lamivudine | Yes | 26 (19–32) | 2220.0 ± 1610.9 MEq/mL* | 0.4 (0.1–5.3) × ULN | 32 | 4 | 8 | RCT |
| 61:59 | Control | 25 (20–36) | 2692.7 ± 1627.0 MEq/mL* | 0.4 (0.1–6) × ULN | |||||||
| Han, 2011 | China | 135:132 | Telbivudine | Yes | 27 (20–38) | 8.10 ± 0.56 | 35.7 ± 43 | 20–32 | 4 | 8–20 | Cohort study |
| 94:94 | Control | 26 (20–35) | 7.98 ± 0.61 | 42.5 ± 40.1 | |||||||
| Yu, 2011 | China | 94:94 | Lamivudine | Yes | 27.68 ± 3.65 | 6.97 ± 1.95 | 394.36 ± 372.18 | 24–32 | After childbirth, till satisfactory efficacy or drug resistance mutation appeared | 8–16 | Cohort study |
| 91:91 | Control | 26.33 ± 3.24 | 7.20 ± 0.94 | 294.03 ± 233.83 | |||||||
| Yu, 2012 | China | 94:94 | Lamivudine | Yes | 26.64 ± 4.17 | 7.63 ± 0.54 | ≥40 | 24–32 | Variable after delivery | 8–16 | Cohort study |
| 91:91 | Control | 25.78 ± 3.89 | 7.71 ± 0.71 | 45.0 | |||||||
| Pan, 2012 | China | 53:54 | Telbivudine | Yes | 27 (21–34) | 8.08 (rage 6.6–9.4) | 60.40 (41.40–422.00) | Second trimester | Variable after delivery | 12–27 | Cohort study |
| 35:35 | Control | 27 (21–33) | 8.08 (range 6.76–9.08) | 63.20 (42.40–262.50) | |||||||
| Celen, 2013 | Turkey | 21:21 | Tenofovir | Yes | 28.2 ± 4.1 | >7 | 56 (22–71) | 18–27 | 4 | 13–22 | Retrospective study |
| 24:23 | Control | 26.9 ± 2.9 | >7 | 52 (19–77) | |||||||
| Zhang, 2014 | China | 55:54 | Lamivudine | Yes | 28.42 ± 7.11 | 7.62 ± 0.37 | 39.65 ± 26.37 | 28–30 | 4 | 10–12 | Prospective, open-label, nonrandom |
| 374:370 | Control | 28.97 ± 64.59 | 7.58 ± 0.45 | 29.53 ± 20.72 | |||||||
| Zhang, 2014 | China | 263:262 | Telbivudine | Yes | 29.78 ± 6.31 | 7.69 ± 0.44 | 30.06 ± 28.86 | 28–30 | 4 | 10–12 | Prospective, open-label, nonrandom |
| 374:370 | Control | 28.97 ± 4.59 | 7.58 ± 0.45 | 29.53 ± 20.72 | |||||||
| Ayres, 2014 | Australia | 21:18 | Lamivudine | Yes | N/A | >7 | N/A | 32 | 2 | 8 | Cohort study |
| 5:3 | Control | ||||||||||
| Greenup, 2014 | Australia | 58:43 | Tenofovir | Yes | 30 ± 8.5 | 7.9 ± 08 | 28 (22–36) | 32 | 12 | 8 | Cohort study |
| 20:10 | Control | 28 ± 5 | 8 ± 04 | 25 (17–31) | |||||||
| Greenup, 2014 | Australia | 52:44 | Lamivudine | Yes | 28 ± 5.3 | 7.7 ± 06 | 22 (18–30) | 32 | 12 | 8 | Cohort study |
| 20:10 | Control | 28 ± 5 | 8 ± 04 | 25 (17–31) | |||||||
| Nguyen, 2014 | Australia | 44:44 | Telbivudine | N/A | 29.1 ± 4.9 | 8.0 | 23.5 (20–31.3) | 32 | 4 | 8 | Cohort study |
| 14:14 | Control | 27.1 ± 4.0 | 25.5 (18–35) | ||||||||
| Nguyen, 2014 | Australia | 43:43 | Lamivudine | N/A | 30.9 ± 4.5 | 8.0 | 29.0 (17.5–40.5) | 32 | 2–12 | 8 | Cohort study |
| 14:14 | Control | 27.1 ± 4.0 | 25.5 (18–35) | ||||||||
| Han, 2015 | China | 362:365 | Telbivudine | Yes | 27 (20–38) | 8 (6–9.1) | 19.9 (5.2–513.5) | N/A | N/A | N/A | Prospective, open-labeled, nonrandom |
| 92:92 | Control | 26 (20–35) | 7.93 (6–9.5) | 26.55 (8.1–262.5) | |||||||
| Chen, 2015 | Taiwan | 62:65 | Tenofovir | Yes | 32.41 ± 3.12 | 8.25 ± 0.45 | 23.27 ± 36.2 | 30 | 4 | 10 | Prospective, open-labeled, nonrandom |
| 56:56 | Control | 32.45 ± 3.2 | 8.24 ± 0.35 | 16.59 ± 14.43 | |||||||
| Tekin Koruk, 2015 | Turkey | 29:20 | Tenofovir | Yes | 27.4 ± 4.7 | N/A | N/A | 22.2 ± 8.5 (1–36) | N/A | ∼18 | Retrospective |
| 54:54 | Control | 28.7 ± 4.9 | 1.98 ± 2.21 | 26.7 ± 22.9 | |||||||
| Tekin Koruk, 2015 | Turkey | 4:4 | Lamivudine | Yes | 28.8 ± 5.1 | N/A | N/A | 22.2 ± 8.5 (1–36) | N/A | ∼18 | Retrospective |
| 54:54 | Control | 28.7 ± 4.9 | 1.98 ± 2.21 | 26.7 ± 22.9 | |||||||
| Tekin Koruk, 2015 | Turkey | 31:36 | Telbivudine | Yes | N/A | N/A | 22.2 ± 8.5 (1–36) | N/A | ∼18 | Retrospective | |
| 54:54 | Control | 28.7 ± 4.9 | 1.98 ± 2.21 | 26.7 ± 22.9 | |||||||
| Wu, 2015 | China | 279:280 | Telbivudine | Yes | 27 (17–38 | 7.26 ± 0.50 | 111 (45–282) | 24–32 | N/A | 8–16 | Cohort study |
| 171:130 | Control | 28 (18–40) | 7.40 ± 0.65 | 134 (44–330) | |||||||
| Liu, 2016 | China | A: 50:50 | Telbivudine | Yes | 27.88 ± 3.73 | 7.67 ± 0.79 | 46.64 ± 58.74 | before the third trimester | 4 | N/A | Cohort study |
| 78:78 | Control | 27.46 ± 3.47 | 7.56 ± 0.57 | 30.87 ± 28.99 | |||||||
| Pan, 2016 | China | 97:95 | Tenofovir | Yes | 27.4 ± 3.0 | 8.2 ± 0.5 | 23.0 ± 22.4 | 30–32 | 4 | 8–10 | RCT |
| 100:88 | Control | 26.8 ± 3.0 | 8.0 ± 0.7 | 20.5 ± 15.4 | |||||||
| Samadi Kochaksaraei, 2016 | Canada | 23:24 | Tenofovir | Yes | 30 (28–34) | 7.7 (3.2–8.1) | 30 (18–50) | 28–32 | 12 | 8–12 | Cohort study |
| 138:146 | Control | 32 (29–36) | 2.3 (1.6–3.1) | 17 (12–24) | |||||||
| Tan, 2016 | China | A: 34:34 | Telbivudine | Yes | 29 | 2 (1.82–6.99) | A: 18 (9–500) | A: <14 | 28 | N/A | Cohort study |
| 316:320 | Control | 29 | 7.67 (6–8.91) | 22 (5–623) | |||||||
| Chen, 2017 | China | 43:43 | Telbivudine | Yes | 28.1 ± 6.7 | 7.2 ± 0.7 | 89.3 ± 104.2 | 13–32 | At delivery | 8–27 | Cohort study |
| A: 79:79 | Control | A: 27.2 ± 5.5 | A: 4.2 ± 0.8 | A: 47.8 ± 57.9 | |||||||
| Hu, 2017 | China | 149:128 | Telbivudine | Yes | 25.9 ± 3.7 | 7.43 ± 1.26 | N/A | 28–32 | 3–4 | 8–12 | Cohort study |
| 179:156 | Control | 26.4 ± 3.4 | 7.37 ± 1.49 | N/A | |||||||
| Pan, 2017 | China | A: 66:66 | lamivudine | Yes | 27.65 ± 4.08 | 7.22 ± 0.61 | 68.6 ± 103.6 | 13–26 | At delivery | 14–27 | Retrospective cohort |
| 89:89 | Control | 27.08 ± 4.22 | 7.33 ± 0.47 | 28.0 ± 35.4 | |||||||
| Sun, 2017 | China | A: 62:62 | Telbivudine | Yes | 28.9 ± 11.8 | 7.79 ± 0.22 | 125.3 ± 57.6 | 12 | 12 | 28 | Cohort study |
| 65:65 | Control | 27.5 ± 12.9 | 7.74 ± 0.22 | 128.5 ± 48.7 | |||||||
| Wakano, 2017 | Japan | 2:2 | Tenofovir | Yes | 28–37 | 9.0 | N/A | 28–32 | 4–8 | 8–12 | Cohort study |
| 3:3 | Control | 9.0 | N/A | ||||||||
| Wakano, 2017 | Japan | 3:3 | Lamivudine | Yes | 28–37 | 9.0 | N/A | 28–32 | 4–8 | 8–12 | Cohort study |
| 3:3 | Control | 9.0 | N/A | ||||||||
| Yi, 2017 | China | A: 41:41 | Telbivudine | Yes | 31.54 ± 4.21 | 1.50 ± 0.62 | 15.19 ± 8.53 | Third trimester | 28 | Up to 12 | Cohort study |
| 176:176 | Control | 28.27 ± 3.65 | 7.94 ± 0.62 | 18.85 ± 9.83 | |||||||
| Chang, 2019 | Taiwan | 110:115 | Tenofovir | Yes | 32.84 ± 3.57 | 8.25 ± 0.48 | 20.88 ± 28.94 | 30–32 | Variable after delivery | 8–10 | Cohort study |
| 91:93 | Control | 32.69 ± 3.36 | 8.29 ± 0.49 | 19.10 ± 23.85 | |||||||
| Han, 2019 | China | 139:137 | Telbivudine | Yes | 26 (20–43) | 7.73 (6.04∼9.30) | 117 (56–1166) | 12–34 | Variable after delivery | 6–28 | prospective nonintervention study |
| 102:99 | Control | 26 (18–42) | 7.72 (6.03∼9.00) | 164 (53–1025) | |||||||
| Lin, 2018 | China | 59:58 | Tenofovir | Yes | 28.31 ± 3.56 | Not mentioned | 54.62 ± 105.7 | 24 | 28 | ∼16 | Cohort study |
| 52:52 | Control | 28.06 ± 3.42 | 7.44 ± 0.80 | 57.5 ± 103.3 | |||||||
| Zeng, 2019 | China | A: 58:58 | A: Telbivudine | Yes | A:27.2 ± 10.8 | A: 7.88 ± 0.65 | A: 127.3 ± 72.2 | 20–28 | 12 | N/A | Retrospective study |
| 36:36 | Control | 25.7 ± 10.9 | 7.69 ± 0.53 | 132.3 ± 78.3 | |||||||
| Jourdain, 2018 | China | 168:147 | Tenofovir | Yes | 25.5 (22.6–29.1) | 7.6 ± 1.5 | N/A | 28.3 (27.9–28.6) | 8 | N/A | RCT |
| 163:147 | Control | 26.7 (23.5–30.5) | 7.3 ± 1.7 | 28.1 (27.9–28.6) | |||||||
| Sheng, 2018 | China | 91:79 | Telbivudine | Yes | 27.8 ± 4.17 | 8.15 ± 0.82 | 26.53 ± 8.32 | 24–32 | 12 | 8–16 | Prospective open label multicenter study |
| 21:21 | Control | 26.8 ± 3.66 | 8.09 ± 1.04 | 23.62 ± 6.51 | |||||||
| Liu, 2019 | China | A: 396:400 | A: Telbivudine | Yes | A: 27.78 ± 3.56 | A: 7.89 ± 0.66 | A: 45.79 ± 66.34 | 22–28 | 12 | 12–18 | Prospective, multicenter study |
| 136:136 | Control | 27.14 ± 4.72 | 7.71 ± 0.79 | 41.16 ± 62.46 | |||||||
| Foaud, 2019 | Egypt | 34:34 | Lamivudine | Yes | 27 ± 2.9 | 3.9 103 (474–1.8 105) | N/A | Third trimester | 12 | ∼12 | Prospective observation study |
| 39:39 | Control | 27.4 ± 4.6 | N/A |
The control group in this Table represents the pregnant women who did not receive any type of oral hepatitis B virus therapy during the pregnancy. Their infants may be treated with hepatitis B immune globulin and/or vaccine.
Abbreviation: RCT, randomized controlled trial.
Fig. 2.Forest plots of infant HBsAg positivity at birth.
Abbreviation: HBsAg, hepatitis B surface antigen.
Fig. 3.Forest plots of infant HBV DNA positivity at birth.
Abbreviation: HBV, hepatitis B virus.
Fig. 4.Forest plots of mother-to-child transmission of HBV infection after 6–12 months.
Abbreviation: HBV, hepatitis B virus.
Fig. 5.Forest plots of the rate of making HBV DNA undetectable (A) and creatine kinase elevation, postpartum hemorrhage (B) in mothers following NA therapy during pregnancy.
Abbreviations: HBV, hepatitis B virus; NA, nucleos(t)ide analogue.
Fig. 6.Funnel plot analysis to examine publication bias for mother-to-child transmission.
Some of the most important reported outcomes in the selected published meta-analysis studies
| Study | No of studies | HBsAg positivity | HBV DNA positivity | MTCT | HBV DNA suppression | CK elevation | Postpartum hemorrhage | Congenital malformation | Preterm birth | Fetal/infant death |
| Hyun | 10 | 0.87 [0.31, 2.40] | 0.16 [0.07, 0.39] | 0.23 [0.10, 0.52] | 8.49 [0.98, 73.28] | 0.76 [0.27, 2.16] | 1.60 [0.30, 8.47] | 2.39 [0.84, 6.81] | 1.28 [0.20, 8.25] | |
| Chen | 5 | 0.16 [0.07, 0.37] | 0.21 [0.07, 0.61] | 254.46 [28.39, 2280.79] | 9.56 [1.17, 78.09] | 0.73 [0.26, 2.07] | 1.85 [0.42, 8.18] | 2.35 [0.80, 6.94] | 1.54 [0.25, 9.56] | |
| Shi | 10 | 0.38 [0.15, 0.94] | 0.22 [0.12, 0.40] | HBsAg: 0.31 [0.15, 0.63] | ||||||
| Lu | 7 | HBsAg:0.09 [0.04, 0.22] | 87.96 [17.03, 454.32] | 7.71 [1.99, 29.80] | ||||||
| Brown | 26 | 0.26 [0.16, 0.44] | 0.31 [0.20, 0.49] | HBsAg: 0.3 [0.2, 0.4] | LAM: 57.1 [3.5, 921.4] | Not reported but the difference is not significant | Not reported but the difference is not significant | 0.88 [0.21, 3.62] | 0.73 [0.35, 1.53] |
Data of the Hyun et al.,13 Chen et al.,49 Shi et al.,50 and Lu et al.51 studies were reported according to OR [95% confidence interval]. Data of the study conducted by Brown et al.12 were reported according to RR [95% confidence interval].
Abbreviations: CK, creatine kinase; HBV, hepatitis B virus; HBsAg, hepatitis B surface antigen; LAM, lamivudine; LdT, telbivudine; MTCT, mother-to-child transmission; OR, odds ratio; RR, relative risk; TDF, tenofovir.