| Literature DB >> 35902484 |
Fardin Nabizadeh1,2, Kasra Pirahesh3, Nazanin Rafiei4, Fatemeh Afrashteh5, Mona Asghari Ahmadabad6, Aram Zabeti7, Omid Mirmosayyeb8.
Abstract
INTRODUCTION: In 1995, the use of autologous hematopoietic stem-cell transplantation (AHSCT), which was previously used to treat hematological tumors, was introduced for severe autoimmune diseases such as multiple sclerosis (MS). AHSCT has proven its safety over the past few years due to technical advances and careful patient selection in transplant centers. While most studies have reported that AHSCT led to decreased Expanded Disability Status Scale (EDSS) scores, some patients reported increased EDSS scores following the procedure. Given the contradictory results, we aimed to conduct a comprehensive systematic review and meta-analysis to investigate the efficacy and safety of AHSCT.Entities:
Keywords: Autologous hematopoietic stem-cell transplantation; Efficacy; Multiple sclerosis; Safety
Year: 2022 PMID: 35902484 PMCID: PMC9333355 DOI: 10.1007/s40120-022-00389-x
Source DB: PubMed Journal: Neurol Ther ISSN: 2193-6536
Fig. 1PRISMA flow diagram depicting the flow of information through the different phases of a systematic review
Demographic and clinical characteristic of included studies
| Study | Year | Country | Type of study | Sample size | Mean age, years | Gender | Mean disease duration, years | Type of MS | Regimen | Cell dosage | Mean EDSS baseline | NOS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Boffa et al. (2021) [ | 2021 | Italy | Cohort | 210 | 34.8 | 148 female, 62 male | 11 | 122 RRMS, 86 SPMS, 2 PPMS | Intermediate | 3.8 × 106 CD34/kg | 6 (4.5–6.5) median | 8 |
| Burt et al. (2021) [ | 2021 | USA | Cohort | 511 | 36.7 | 317 female, 194 male | 7.2 | 414 RRMS, 93 SPMS | Intermediate | NR | 4 (1–8) median | 6 |
| Das et al. (2021) [ | 2021 | UK | Cohort | 20 | 28 median | 10 female, 10 male | 5 months median | NR | Intermediate | NR | 5 (1.5–9.5) median | 7 |
| Haußler et al. (2021) [ | 2021 | Germany | Cohort | 19 | 35.1 | 12 female, 7 male | 5.4 | 12 RRMS, 3 PPMS, 4 SPMS | Intermediate | NR | 4.52 | 8 |
| Murrieta-Álvarez et al. (2021) [ | 2021 | Mexico | Cohort | 978 | NR | NR | NR | NR | Low | NR | NR | 7 |
| Nicholas et al. (2021) [ | 2021 | UK | Cohort | 120 | 42.3 | 58 female, 62 male | 8.9 | 58 RRMS, 40 SPMS, 22 PPMS | Intermediate | 7.17 × 106 CD34/kg | 6.0 (5.5–6.5) median | 8 |
| Alping et al. (2020) [ | 2020 | Sweden | Cohort | 139 | 33.5 | 95 female, 44 male | 7.3 | 1 PPMS, 127 RRMS, 10 SPMS | Intermediate | NR | 3.5 (1.6) | 8 |
| Dayama et al. (2020) [ | 2020 | India | Cohort | 20 | 31.5 | 13 female, 7 male | NR | 9 RRMS, 11 SPMS | Intermediate | 6.07 × 106 CD34/kg | 5.5 (1–7) median | 8 |
| Giedraitiene et al. (2020) [ | 2020 | Lithuania | Cohort | 24 | 37.8 | 18 female, 6 male | 8.6 year | RRMS | Low | NR | 5.9 (0.8) | 8 |
| Kvistad et al. (2020) [ | 2020 | Norway | Cohort | 30 | 30.8 | 23 female. 7 male | 5.2 | NR | Intermediate | 4.05 × 106 CD34/kg | 3 (1.4) | 7 |
| Wiberg et al. (2020) [ | 2020 | Sweden | Cohort | 16 | 26 median | 12 female, 4 male | 4 | NR | Intermediate | NR | 3.5 (2.25–4) median | 8 |
| Zhukovsky et al. (2020) [ | 2020 | Sweden | Cohort | 69 | 30 median | 49 female, 20 male | 6.4 | NR | Intermediate | NR | 3 (2–4) median | 8 |
| Bose et al. (2019) [ | 2019 | Canada | Cohort | 23 | 33 median | 14 female, 9 male | NR | 12RRMS, 2 SPMS | Intermediate | NR | 5 (4–6) median | 7 |
| Burt et al. (2019) [ | 2019 | USA | RCT | 55 | 35.6 (8.4) | 34 female, 21 male | 63.1 (44.8) months | RRMS | Intermediate | NR | 3.4 (1.2) | 8 |
| Guillaume-Jugnot et al. (2019) [ | 2019 | France | Cohort | 14 | 25 median | 3 female, 11 male | 10.5 median | NR | Low | 5.24 × 106 CD34/kg | 6.5 (6–7) median | 8 |
| Mariottini et al. (2019) [ | 2019 | Italy | Cohort | 11 | 35 median | 8 female, 3 male | 13 | RRMS | Intermediate | NR | 3.25 (2.0–4.5) median | 6 |
| Ruiz-Argüelles et al. (2019) [ | 2019 | Mexico | Cohort | 617 | 46 median | 401 female, 216 male | NR | 259 RRMS, 228 SPMS, 130 PPMS | Low | 5.68 × 106 CD34/kg | 5·5 (4–6·5) median | 6 |
| Tolf et al. (2019) [ | 2019 | Sweden | Case series | 10 | 27 median | NR | 28 months median | RRMS | Intermediate | NR | 6.5 (2‐8.5) median | 6 |
| Darlington et al. (2018) [ | 2018 | Canada | Cohort | 14 | 32 | 9 female, 5 male | 6.1 | NR | Intermediate | 10 × 106 CD34/kg | 6 (3.5–6.5) median | 6 |
| Moore et al. (2018) [ | 2018 | Australia | RCT | 35 | Ranged 18–60 | NR | 103 months | 20 RRMS, 15 SPMS | Intermediate | 7.41 × 106 CD34/kg | 6 (2–7) median | 8 |
| Casanova et al. (2017) [ | 2017 | Spain | Cohort | 31 | 36.7 | 27 female, 11 male | 9.5 | 22 RRMS, 9 SPMS | Intermediate | 3.8 × 106 CD34/kg | 5.3 (1.2) | 7 |
| Karnell et al. (2017) [ | 2017 | USA | Cohort | 23 | 36.3 | 16 female, 7 male | NR | NR | Low | NR | 4.3 (3–5.5) | 7 |
| Massey et al. (2017) [ | 2017 | Australia | RCT | 40 | NR | NR | NR | 26 RRMS, 14 SPMS | Intermediate | NR | 6 (2–7) median | 8 |
| Muraro et al. (2017) [ | 2017 | Multicenter | Cohort | 281 | 37 median | 163 female, 118 male | 81 months median | PMS | High | NR | 5.62 (5.58) | 8 |
| Nash et al. (2017) [ | 2017 | UK, USA | RCT | 24 | 37 median | 16 female, 8 male | 4.9 | RRMS | High | NR | 4.5 (4.0–5.0) median | _ |
| Atkins et al. (2016) [ | 2016 | Canada | RCT | 24 | 34 | 14 female, 10 male | 6.1 | 12 RRMS, 12 SPMS | High | NR | 6.1 (2.5) | 8 |
| De Oliveira et al. (2016) [ | 2016 | Brazil | Cohort | 18 | 42 median | 19 female, 8 male | 10.3 | NR | Intermediate | NR | 6.1 (0.58) | 7 |
| Shevchenko et al. (2015) [ | 2015 | Russia | Cohort | 99 | 34.6 | 60 female, 40 male | NR | 43 RRMS, 35 SPMS, 18 PPMS, 3 PRMS | Intermediate | 2.1 × 106 CD34/kg | 3.5 (1.5–8.5) median | 8 |
| Sousa et al. (2015) [ | 2015 | Brazil | RCT | 16 | 38.1 | 8 female, 8 male | 8.8 | 8 SPMS, 6 RRMS, 2 PPMS | Intermediate | 8.5 × 106 CD34/kg | 5.09 (1.31) | _ |
| Arruda et al. (2014) [ | 2014 | Brazil | RCT | 24 | 38.4 | 16 female, 8 male | 8.1 | 1 PPMS, 5 RPMS, 18 SPMS | Intermediate | NR | 5.4 (1.2) | _ |
| Bonechi et al. (2014) [ | 2014 | Italy | Cohort | 19 | 28 (median) | 16 female, 3 male | 10 for RRMS, 20 for SPMS median | 11 RRMS, 8 SPMS | Intermediate | NR | 6.5 (6.25–6.5) median | 6 |
| Abrahamsson et al. (2013) [ | 2013 | UK | Cohort | 12 | 34 | 3 female, 9 male | 5.7 | 1 SPMS, 11 RRMS | Low | NR | 3.6 (1.2) | 7 |
| Chen et al. (2011) | 2011 | China | Cohort | 25 | 37.3 | 19 female, 6 male | 4 median | 19 SPMS, 1 PPMS, 2 RPMS, 3 RRMS | Intermediate | 4.19 × 106 CD34/kg | 8.0 (3.0–9.5) median | 8 |
| Bowen et al. (2011) [ | 2011 | USA | Cohort | 26 | 41 median | 12 female, 14 male | 7 median | 17 SPMS, 8PPMS, 1 RRMS | High | NR | 7 (5–8) median | 8 |
| Evdoshenko et al. (2011) [ | 2011 | Russia | Cohort | 23 | 34.5 | 12 female, 11 male | 6.8 | 5 PPMS, 12 SPMS, 6 RRMS | Intermediate | NR | 5.09 (1.31) | 7 |
| Mancardi et al. (2011) | 2011 | Italy | Cohort | 74 | 35.7 | NR | 11.2 | 41 SPMS, 33 RRMS | Intermediate | NR | 6.5 (3.5–9) median | 8 |
| Guimarães et al. (2010) [ | 2010 | Brazil | Cohort | 34 | NR | 18 female, 16 male | NR | SPMS, RRMS, PPMS | Intermediate | NR | NR | 8 |
| Hamerschlak et al. (2010) [ | 2010 | Brazil | Cohort | 41 | 42 median | 24 female, 17 male | 8 median | RRMS, PRMS, SPMS | Intermediate | 8.8 × 106 CD34/kg | NR | 8 |
| Krasulova et al. (2010) [ | 2010 | Czech | Cohort | 26 | 33 | 15 female, 11 male | 7 median | 11 RRMS, 15 SPMS | Intermediate | 3 × 106 CD34/kg | 6 (2.5–7.5) median | 8 |
| Xu et al. (2010) [ | 2010 | China | Cohort | 37 | 35.00 ± 8.48 | 27 female, 9 male | 72.39 ± 66.44 | SPMS | Intermediate | NR | 6.58 ± 1.22 | 8 |
| Farge et al. (2009) [ | 2009 | France | Cohort | 345 | 35 median | 210 female, 135 male | 77 months median | NR | Intermediate | NR | NR | 7 |
| Gualandi et al. (2007) [ | 2007 | Italy | Cohort | 22 | NR | NR | NR | RRMS, SPMS | Intermediate | 2 × 106 CD34/kg | NR | 7 |
| Ni et al.(2006) [ | 2006 | China | Cohort | 22 | 37 median | 14 female, 7 male | 2.5 median | PMS | Intermediate | NR | NR | 6 |
| Saccardi et al. (2006) [ | 2006 | Italy | Cohort | 183 | 34 median | 105 female, 78 male | 6.7 | 99 SPMS, 32 PPMS, 19 RPMS, 11 RRMS | High | NR | 6.5 (3.5–9) median | 8 |
| Su et al. (2006) [ | 2006 | China | Cohort | 15 | 36 median | 10 female, 5 male | 3 median | SPMS | Intermediate | 2.21 × 106 CD34/kg | 6 (4.5–7.5) median | 7 |
| Samjin et al. (2006) | 2006 | Netherlands | Cohort | 14 | 36 median | 8 female, 6 male | 5.28 | SPMS | High | 1.0 × 106 CD34+ cells/kg | 6.03 | 8 |
| Daumer et al. (2005) [ | 2005 | Germany | Cohort | 285 | 35 median | NR | NR | 269 RRMS, 16 SPMS | High | NR | NR | 6 |
| Blanco et al. (2004) [ | 2004 | Spain | Cohort | 14 | NR | NR | 5 RRMS, 9 SPMS | Intermediate | NR | 3 (0.5–2) median | 7 | |
| Saiz et al. (2004) [ | 2004 | Spain | Cohort | 14 | 30 median | 12 female, 2 male | 8.4 | 6 RRMS, 9 SPMS | Intermediate | NR | 6 (4.5–6.5) median | 7 |
| Fassas et al. (2002) [ | 2002 | Greece | Cohort | 85 | 39 median | 52 female, 33 male | 7 median | NR | Intermediate | NR | 6.5 (4.5–8.5) median | 8 |
RCT randomized controlled trial, NR not reported, EDSS Expanded Disability Status Scale, RRMS relapsing–remitting multiple sclerosis, SPMS secondary progressive multiple sclerosis, PPMS primary progressive multiple sclerosis, PRMS progressive relapsing multiple sclerosis, NOS Newcastle–Ottawa Scale
Fig. 2Forest plot of EDSS score before and after treatment
Fig. 3Forest plot of ARR score before and after treatment
Fig. 4Clinical outcomes of AHSCT
| Current data encourage a broader application of autologous hematopoietic stem-cell transplantation (AHSCT) for treating patients with multiple sclerosis (MS). |
| Our analysis showed a significant decrease in the Expanded Disability Status Scale (EDSS) score and annualized relapse rate after treatment compared with the pretreatment period. |
| Our meta-analysis showed that 68% of patients with MS experience no evidence of disease activity (NEDA) after AHSCT. |