Evidence map›Paper›PMID 40660298›Full record

ArticleStem cell research & therapy2025

Efficacy of autologous cell therapy on limb salvage in patients with chronic limb-threatening ischemia: 16-year single-center experience.

Dominika Sojakova, Michal Kahle, Jitka Husakova, Vladimira Fejfarova, Karol Sutoris, Radka Jarosikova, Edward B Jude, Michal Dubsky

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Article in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Dominika SojakovaDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Michal KahleDepartment of Data Science, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Jitka HusakovaDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Vladimira FejfarovaDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Karol SutorisTransplantation Surgery Department, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Radka JarosikovaDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Edward B JudeDiabetes Center, Tameside and Glossop Integrated Care NHS Foundation Trust, Ashton-under-Lyne and University of Manchester, Manchester, UK.
Michal DubskyDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic. mids@ikem.cz.ORCID http://orcid.org/0000-0002-2078-0177

Funding

European Union Next-Generation EU Programme EXCELES, Project No. LX22NPO5104
6 · The paper itself

Abstract

backgroundsAutologous cell therapy (ACT) could be a treatment option for patients with chronic limb-threatening ischemia (CLTI) when standard vascular intervention is impossible. This study aimed to analyze risk factors affecting therapeutic success and identify patients with diabetes most responsive to ACT.

methodsIn this prospective study, 129 treatments were provided to 118 limbs in 107 no-option CLTI patients with diabetes. Bone marrow was obtained, and stem cells were processed and injected into the calf muscles of the affected limb. After 16 years, we analyzed the influence of baseline factors related to patients (diabetes parameters, comorbidities, medications), limb ischemia (TcPO

resultsMajor amputation was performed in 41 out of 118 limbs (31.8%). The use of immunosuppressive therapy (HR 2.48, CI 1.30-4.73), higher stages of GLASS FP (femoropopliteal) score (HR 1.58, CI 1.31-1.90) in the univariate model, and signs of clinical infection (HR 2.21, CI 1.01-4.839) in the multivariable model significantly impacted LS. Shorter AFS was associated with a higher GLASS FP score (HR 1.28, CI 1.13-1.46), dialysis (HR 2.05, CI 1.33 - 3.16 ), hypoalbuminemia (HR 0.93, CI 0.89-0.98), signs of clinical infection (HR 1.99, CI 1.26-3.15) in the univariable model, and immunosuppression (HR 2.31, CI 1.09-4.95) in the multivariable model.

conclusionDecisions to manage patients with no-option CLTI should be based on involvement of the peripheral circulation, the presence of infection and co-morbidities. Those with minimal impairment of the FP segment, with the best possible nutritional status and without signs of infection would benefit the most. Furthermore, we should be careful with dialysis patients and those on immunosuppressive therapy.

Indexed as

Cell- and Tissue-Based TherapyChronic Limb-Threatening IschemiaIschemiaLimb SalvageAgedAged, 80 and overAmputation, SurgicalFemaleHumansMaleMiddle AgedProspective StudiesTransplantation, AutologousAmputationAmputation-free survivalIschemiaPeripheral artery diseaseStem cell therapy

Identifiers

PMID40660298
PMCPMC12261576

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.