| Literature DB >> 30871566 |
Mingshu Li1,2, Jun Chen3, Zhixiong Fang4, Yi Li5, Qian Lin6.
Abstract
BACKGROUND: Whether sofosbuvir is suitable for hepatitis C virus (HCV) infected patients with severe renal impairment is inconclusive. This systematic review aims to evaluate the safety and effectiveness of SOF-based regimen in the setting of stage 4 and 5 chronic kidney disease (CKD).Entities:
Keywords: Dose; HCV infection; Meta-analysis; Sofosbuvir; Stage 4–5 chronic kidney disease
Mesh:
Substances:
Year: 2019 PMID: 30871566 PMCID: PMC6419462 DOI: 10.1186/s12985-019-1140-x
Source DB: PubMed Journal: Virol J ISSN: 1743-422X Impact factor: 4.099
Fig. 1Flow diagram of literature search and selection
Characteristics of studies and patients
| Studies | Geographical origin | No. of patients | No. of dialysis recipients | History of Cirrhosis (%) | mean/median baseline RNA | Genotype | SOF-based regimen | Dose of SOF | SVR12/24 (PP) | NOS score |
|---|---|---|---|---|---|---|---|---|---|---|
| Aggarwal (2017) [ | USA | 14 | 14 | 20% (F3,F4) | 8,375,588.6 IU/ML | GT1–60%, GT2–6.7%, GT3–20%, GT4–13.3% | SOF + SMV, SOF + RBV, SOF/LDV ± RBV, SOF + PR, SOF + DCV | 200 mg QD | 92.8% 13/14 | 4 |
| Akhil (2018) [ | India | 22 | 22 | NA | 2,642,495 IU/ML | GT1–63.63%, GT3–27.27%, | SOF + RBV 12 W | 400 mg QD | 80% 16/20 | 4 |
| Beinhardt (2016) [ | Austria | 10 | 10 | 40% (30% decompensation) | 6.1 ± 0.8 | GT1a-20%, GT1b-40%, GT3a-20%, | SOF + PR, | 400 mg QD | 90% 9/10 | 4 |
| Bera (2017) [ | India | 25 | 25 | 20% | 6.4 ± 0.57 | GT3–72%, GT1–24%, | SOF + DCV 12–24 W | 400 mg/48 h | 100% 16/16 | 4 |
| Bhamidimarri (2015) [ | USA | 15 | 12 | 60% | 9.7 × 106 IU/ML | GT1a-67%, | SOF + SMV 12–24 W | 200 mg QD or 400 mg/48 h | 87% 13/15 | 4 |
| Butt (2108) [ | USA | 137 | NA | NA | NA | NA | SOF/LDV ± RBV 12–16 W | 400 mg QD | 95% 103/108 | 3 |
| Choudhary (2017) [ | India | 16 | 16 | 12.50% | 7 (5–8) | GT1–69%, | SOF + PR, SOF + DCV ± RBV12 W | 400 mg/48 h | 80% 8/10 | 4 |
| Desnoyer (2016) [ | France | 12 | 12 | 83% | 6.59 (6.13–6.86) | GT1–92% | SOF + SMV, SOF + DCV, SOF/LDV, SOF + RBV 12–24 W | 400 mg QD or 400 mg TIW | 83% 10/12 | 5 |
| Dumortier (2017) [ | France | 50 | 35 | 54% | 2,603,063 IU/ML | GT1–56%, GT2–12%, | SOF + RBV, SOF + PR, SOF + DCV ± RBV, SOF + SMV ± RBV 12–24 W | 400 mg QD or 400 mg/48 h or 400 mg TIW | 91% 43/47 | 5 |
| Taneja (2018) [ | India | 65 | 54 | 32.3%(9% decompensation) | 1.65 × 106 (1.2 × 103–1.73 × 108) | GT1–65%; GT2–1%, GT3–34% | SOF + DCV | 200 mg QD | 100% 65/65 | 5 |
| Goel (2018) [ | India | 41 | 31 | 12% | 5.9 (4.12–9.9) | GT3–54%, GT1–42%, GT4–5% | SOF + DCV 12–24 W | 200 mg QD | 100% 36/36 | 4 |
| Yingli (2017) [ | China | 33 | 33 | NA | 1.7–7.8 | GT1b-21%, | SOF + DCV | 200 mg QD | 100% 33/33 | 4 |
| Lawitz (2017) [ | USA and New Zealand | 18 | 0 | 11% | NA | GT1a-78%, | SOF/LDV | 400 mg QD | 100% 18/18 | 4 |
| Manoj (2018) [ | India | 64 | 11 | NA | NA | NA | SOF + RBV, | 400 mg QD | 100% 64/64 | 5 |
| Mehta (2018) [ | India | 38 | 38 | NA | 5.75 (5.05–6.36) | GT1a-42%, GT1b-58% | SOF + DCV, | 400 mg QD or 400 mg/48 h | 86.8% 33/38 | 5 |
| Nazario (2017) [ | USA | 41 | 38 | 49% | NA | GT1a-66%; GT2–2%, | SOF + SMV, SOF/LDV, | 400 mg QD | 100% 41/41 | 3 |
| Saab (2017) [ | USA | 12 | 12 | NA | 30,499,500 ± 29,655,754 | GT1a-42%, GT1b-25%, GT2–17%, | SOF + RBV, SOF/LDV ± RBV | 400 mg QD | 70% 7/10 | 4 |
| Saxena (2015) [ | USA | 18 | 5 | 75% | NA | NA | SOF + PR, | 400 mg QD | 85% 11/13 | 5 |
| Singh (2017) [ | USA | 36 | 30 | 27.8% (16.7% decompensation) | 9.9 × 105 IU/ML | G1–72%, | SOF/LDV, | 400 mg QD | 97.2% 35/36 | 4 |
| Surendra (2018) [ | India | 21 | 21 | 0 | NA (63% > 800,000 IU/ML) | GT1a-63%, GT1b-37% | SOF/LDV | 400 mg/48 h | 100% 19/19 | 5 |
| Cox-North (2017) [ | USA | 29 | NA | 44%(14% decompensation) | NA | GT1–72%, | SOF/LDV ± RBV, | 400 mg QD | 100% 28/28 | 4 |
SMV simeprevir, PR Peg-interferon/ribavirin, DCV daclatasvir, LDV ledipasvir
Fig. 2Forest plots showing the results of pooled SVR12/24
Fig. 3Forest plots showing the results of meta-analysis comparing SVR12/24 in patients with cirrhosis versus patients without cirrhosis
Fig. 4Forest plots showing the results of pooled SAE rate
Serious adverse events
| Study | No. of patients | No. of patients/events with SAE | Description of SAE (comments from investigator) |
|---|---|---|---|
| Beinhardt (2016) [ | 10 | 5 (5/5 on dialysis) | 1 pt.: recurring peritonitis |
| 1 pt.: renal anemia | |||
| 1 pt.: graft failure after orthotopic liver transplantation (LOT) | |||
| 1 pt.: cirrhosis due to HCV recurrence after OLT | |||
| 1 PT: pneumonia | |||
| Goel (2018) [ | 41 | 2 (0/2 on dialysis) | 1 pt.: acute mild pancreatitis after renal transplantation |
| 1 pt.: worsening of ascites | |||
| Lawitz (2017) [ | 18 | 4 (0/4 on dialysis) | 1 pt.: acute kidney injury and noncardiac chest pain |
| 1 pt.: dehydration and hypotension | |||
| 1 pt.: acute renal failure | |||
| 1 pt.: hypotension and synocope (no SAEs were considered related to study drug) | |||
| Saxena (2015) [ | 18 | 3 | NA |
| Cox-North (2017) [ | 29 | 1 (1/1 on dialysis) | 1 pt.: cardiac event (unable to draw any conclusions about the safety of SOF regimens in those with underlying cardiac disease) |
Kidney function before and after treatment
| Study | No. of patients | Mean/Median eGFR (mL/min/1. 73m2)/ | Mean/Median eGFR (mL/min/1. 73m2)/ | |
|---|---|---|---|---|
| Dumortier (2017) [ | 15 non-HD patients | eGFR 29.0 (20–34) | eGFR 27.0 (17–38) | In non-HD patients, median eGFR was not significantly modified during treatment. |
| Taneja (2018) [ | 11 pre-dialysis patients | eGFR 24.84 ± 3.96 | eGFR 24.39 ± 3.63 | 0.82 |
| Creatinine2.52 ± 0.35 | Creatinine 2.56 ± 0.36 | 0.81 | ||
| Singh(2017) [ | 36 | eGFR 12.02 ± 6.89 | eGFR 12.33 ± 6.10 | 0.77 |
| Cox-North (2017) [ | NA patients not receiving dialysis | eGFR 22.2 | eGFR 20 | 1.0 |