Pub Date : 2025-10-29DOI: 10.1016/j.tmrv.2025.150933
Aswath P Chandrasekar
{"title":"The Science Behind Clinical Practice: What is a CAR-T Cell?","authors":"Aswath P Chandrasekar","doi":"10.1016/j.tmrv.2025.150933","DOIUrl":"https://doi.org/10.1016/j.tmrv.2025.150933","url":null,"abstract":"","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":" ","pages":"150933"},"PeriodicalIF":2.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145643193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150929
Alejandra López-Arredondo , Saúl Karr de León , Anna-Maria Lampousi , Marion E.G. Brunck
The therapeutic value of granulocyte transfusions (GTX) remains debated. We conducted a systematic review and meta-analysis of intervention studies evaluating GTX efficacy in treating neutropenic infections. MEDLINE, EMBASE, and Cochrane Central were searched from inception to March 2025 to identify interventional studies evaluating the efficacy of GTX for neutropenic infections. Studies were qualitatively summarized. Summary risk ratios (RR) with 95% confidence intervals (CIs) were estimated for randomized controlled trials (RCTs), and non-randomized controlled trials (NRCTs) using random-effects models. Certainty of evidence was evaluated using GRADE. There were 110 studies meeting inclusion criteria: 16 RCTs, 14 NRCTs, and 80 uncontrolled trials. The most frequent underlying disease was leukemia, and the most frequently reported pathogen was Candida. In RCTs, GTX showed no significant all-cause mortality reduction over standard-of-care in pediatric/adult patients or neonates, both associations with low certainty of evidence. In contrast, prospective NRCTs including pediatric/adult patients showed that GTX led to lower all-cause mortality (RR 0.40; 95% CI: 0.23-0.68, I2: 64%), particularly among recipients of high-dose GTX (≥1 × 1010cells/transfusion), with very low-certainty evidence. Results support a dose-response relationship and highlight heterogeneity in patients, treatment settings, and infections. This work recommends carefully designed future RCTs, including strict patient stratification.
{"title":"Efficacy of Granulocyte Transfusions in Treating Neutropenic Infections: A Systematic Review and Meta-Analysis of Intervention Studies","authors":"Alejandra López-Arredondo , Saúl Karr de León , Anna-Maria Lampousi , Marion E.G. Brunck","doi":"10.1016/j.tmrv.2025.150929","DOIUrl":"10.1016/j.tmrv.2025.150929","url":null,"abstract":"<div><div>The therapeutic value of granulocyte transfusions (GTX) remains debated. We conducted a systematic review and meta-analysis of intervention studies evaluating GTX efficacy in treating neutropenic infections. MEDLINE, EMBASE, and Cochrane Central were searched from inception to March 2025 to identify interventional studies evaluating the efficacy of GTX for neutropenic infections. Studies were qualitatively summarized. Summary risk ratios (RR) with 95% confidence intervals (CIs) were estimated for randomized controlled trials (RCTs), and non-randomized controlled trials (NRCTs) using random-effects models. Certainty of evidence was evaluated using GRADE. There were 110 studies meeting inclusion criteria: 16 RCTs, 14 NRCTs, and 80 uncontrolled trials. The most frequent underlying disease was leukemia, and the most frequently reported pathogen was <em>Candida</em>. In RCTs, GTX showed no significant all-cause mortality reduction over standard-of-care in pediatric/adult patients or neonates, both associations with low certainty of evidence. In contrast, prospective NRCTs including pediatric/adult patients showed that GTX led to lower all-cause mortality (RR 0.40; 95% CI: 0.23-0.68, I<sup>2</sup>: 64%), particularly among recipients of high-dose GTX (≥1 × 10<sup>10</sup>cells/transfusion), with very low-certainty evidence. Results support a dose-response relationship and highlight heterogeneity in patients, treatment settings, and infections. This work recommends carefully designed future RCTs, including strict patient stratification.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150929"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145356906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150935
Natalia Alejandra Angeloni , Neill KJ Adhikari , François Lamontagne
Traditional randomized controlled trials (RCTs) can provide rigorous evidence but are often slow and resource-intensive, requiring separate trials for each intervention. Adaptive platform trials (APTs) have been promoted as a solution, offering a framework that tests multiple therapies under a single protocol, with arms added or dropped as evidence accumulates. However, their advantages come with trade-offs that warrant scrutiny. In this review, we critically appraise 3 landmark APTs. The I-SPY2 trial accelerated Phase II oncology research by utilizing Bayesian adaptive randomization and surrogate endpoints; however, much of its efficiency stemmed from relying on intermediate outcomes, which may not reliably predict survival. RECOVERY demonstrated the power of scale on a pragmatic UK-wide platform, but its success reflected health system infrastructure, political leadership, and the unique circumstances of the COVID-19 pandemic as much as its design. REMAP-CAP, a perpetual platform trial for pneumonia, rapidly switched to pandemic mode in 2020 and tested COVID-19 therapies using Bayesian models and response-adaptive randomization (RAR); however, the RAR amplified random noise in some domains, exposing patients to interventions later shown to be ineffective. A recent systematic review confirmed wide heterogeneity in APTs and suboptimal reporting. APTs are not inherently better than classical RCTs. Gains in speed may depend on less rigorous endpoints, complex adaptive methods, or streamlined oversight, each of which introduces new risks of error. As APTs spread to new fields such as transfusion medicine, clinicians and researchers must learn to recognize both the potential benefits and the pitfalls of this design.
{"title":"A Practical Review of Adaptive Platform Trials","authors":"Natalia Alejandra Angeloni , Neill KJ Adhikari , François Lamontagne","doi":"10.1016/j.tmrv.2025.150935","DOIUrl":"10.1016/j.tmrv.2025.150935","url":null,"abstract":"<div><div>Traditional randomized controlled trials (RCTs) can provide rigorous evidence but are often slow and resource-intensive, requiring separate trials for each intervention. Adaptive platform trials (APTs) have been promoted as a solution, offering a framework that tests multiple therapies under a single protocol, with arms added or dropped as evidence accumulates. However, their advantages come with trade-offs that warrant scrutiny. In this review, we critically appraise 3 landmark APTs. The I-SPY2 trial accelerated Phase II oncology research by utilizing Bayesian adaptive randomization and surrogate endpoints; however, much of its efficiency stemmed from relying on intermediate outcomes, which may not reliably predict survival. RECOVERY demonstrated the power of scale on a pragmatic UK-wide platform, but its success reflected health system infrastructure, political leadership, and the unique circumstances of the COVID-19 pandemic as much as its design. REMAP-CAP, a perpetual platform trial for pneumonia, rapidly switched to pandemic mode in 2020 and tested COVID-19 therapies using Bayesian models and response-adaptive randomization (RAR); however, the RAR amplified random noise in some domains, exposing patients to interventions later shown to be ineffective. A recent systematic review confirmed wide heterogeneity in APTs and suboptimal reporting. APTs are not inherently <em>better</em> than classical RCTs. Gains in speed may depend on less rigorous endpoints, complex adaptive methods, or streamlined oversight, each of which introduces new risks of error. As APTs spread to new fields such as transfusion medicine, clinicians and researchers must learn to recognize both the potential benefits and the pitfalls of this design.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150935"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150930
Zaina Inam , HyoJeong Han , Jennifer Webb , Meghan Delaney
Sickle cell disease (SCD) and transfusion dependent β-thalassemia (TDT) are complex disorders, often resulting in lifelong morbidity and reduced life expectancy. Allogeneic hematopoietic stem cell transplant (HSCT) is curative, with matched-related donor (MRD) transplant having the highest success. MRD availability is limited for both disorders, and HCT carries the risk of transplant-related complications, such as graft-versus-host disease (GHVD) and graft failure. Gene therapy (GT) offers an alternative curative option by modifying autologous hematopoietic stem and progenitor cells (HSPCs), making the treatment available to all, while eliminating the risk of GVHD. The U.S. Food and Drug Administration (FDA) has approved GTs for both SCD and TDT: lovotibeglogene autotemcel (Lyfgenia) and exagamglogene autotemcel (Casgevy) in 2023 for SCD and betibeglogene autotemcel (Zynteglo) in 2022 and exagamglogene autotemcel (Casgevy) in 2024 for TDT. This article appraises the studies the FDA approvals were based upon, with comments on transfusion and stem collection regimens. The latter aspects highlighting variability in practice and the need for additional studies to optimize pretransfusion regimens and the collection process for successful GT.
{"title":"Gene Therapies for Hemoglobinopathies: Efficacy, Cell Collection & Transfusion Support","authors":"Zaina Inam , HyoJeong Han , Jennifer Webb , Meghan Delaney","doi":"10.1016/j.tmrv.2025.150930","DOIUrl":"10.1016/j.tmrv.2025.150930","url":null,"abstract":"<div><div>Sickle cell disease (SCD) and transfusion dependent β-thalassemia (TDT) are complex disorders, often resulting in lifelong morbidity and reduced life expectancy. Allogeneic hematopoietic stem cell transplant (HSCT) is curative, with matched-related donor (MRD) transplant having the highest success. MRD availability is limited for both disorders, and HCT carries the risk of transplant-related complications, such as graft-versus-host disease (GHVD) and graft failure. Gene therapy (GT) offers an alternative curative option by modifying autologous hematopoietic stem and progenitor cells (HSPCs), making the treatment available to all, while eliminating the risk of GVHD. The U.S. Food and Drug Administration (FDA) has approved GTs for both SCD and TDT: lovotibeglogene autotemcel (Lyfgenia) and exagamglogene autotemcel (Casgevy) in 2023 for SCD and betibeglogene autotemcel (Zynteglo) in 2022 and exagamglogene autotemcel (Casgevy) in 2024 for TDT. This article appraises the studies the FDA approvals were based upon, with comments on transfusion and stem collection regimens. The latter aspects highlighting variability in practice and the need for additional studies to optimize pretransfusion regimens and the collection process for successful GT.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150930"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145508137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150931
Matt Ellington , Ed Barnard , Laura Green , Tom Woolley , Rebecca Cardigan
Traumatic hemorrhage is a major cause of morbidity and mortality, in both military and civilian settings. Early hemostatic resuscitation including red cell and plasma administration is a mainstay of treatment. Prehospital blood transfusion benefits trauma patients, but delivery is logistically challenging. Dried plasma, stored in ambient conditions and reconstituted rapidly, without specialist equipment, offers a pragmatic solution to the logistical barriers to prehospital transfusion. This review outlines mechanisms of action, and approaches to evaluating efficacy of plasma, summarizes advances in drying technologies and their sequelae on plasma quality, and critically appraises 4 published studies.
{"title":"TMR Paper for Issue on “Technologies in Transfusion Medicine” Dried Plasma – Where Are We and Where Next?","authors":"Matt Ellington , Ed Barnard , Laura Green , Tom Woolley , Rebecca Cardigan","doi":"10.1016/j.tmrv.2025.150931","DOIUrl":"10.1016/j.tmrv.2025.150931","url":null,"abstract":"<div><div>Traumatic hemorrhage is a major cause of morbidity and mortality, in both military and civilian settings. Early hemostatic resuscitation including red cell and plasma administration is a mainstay of treatment. Prehospital blood transfusion benefits trauma patients, but delivery is logistically challenging. Dried plasma, stored in ambient conditions and reconstituted rapidly, without specialist equipment, offers a pragmatic solution to the logistical barriers to prehospital transfusion. This review outlines mechanisms of action, and approaches to evaluating efficacy of plasma, summarizes advances in drying technologies and their sequelae on plasma quality, and critically appraises 4 published studies.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150931"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145515164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150932
Lucia W.J.M. Streng, Floor A. Harms, Egbert G. Mik
Hemoglobin-based red blood cell transfusion (RBC) triggers are inadequate for personalized transfusion decisions because they are population-based and therefore unable to identify individual patients that will benefit from RBC transfusion. Therefore, physiological transfusion triggers are sought after to provide tools for a more individualize approach. Since mitochondria are the ultimate destination of oxygen it seems reasonable to suggest that measuring oxygen at the mitochondrial level might provide insight in the need for RBC transfusion. Mitochondrial oxygen tension (mitoPO2) is a novel clinical parameter that can be measured by an optical technology. This narrative review provides a brief introduction on mitoPO2 monitoring and uses 5 recent studies to explore the potential of mitoPO2 as tool for assessing need for transfusion and/or monitoring the effect of transfusion. A mathematical model shows an ideal behavior of mitoPO2 on critical hematocrit and from 4 recent clinical studies we learn that mitoPO2 is an independent parameter that can be used in transfusion-related studies. Further investigation into the potential role of mitoPO2 in transfusion medicine is needed.
{"title":"Monitoring Mitochondrial Oxygen Tension: mitoPO2 as Physiologic Transfusion Trigger?","authors":"Lucia W.J.M. Streng, Floor A. Harms, Egbert G. Mik","doi":"10.1016/j.tmrv.2025.150932","DOIUrl":"10.1016/j.tmrv.2025.150932","url":null,"abstract":"<div><div>Hemoglobin-based red blood cell transfusion (RBC) triggers are inadequate for personalized transfusion decisions because they are population-based and therefore unable to identify individual patients that will benefit from RBC transfusion. Therefore, physiological transfusion triggers are sought after to provide tools for a more individualize approach. Since mitochondria are the ultimate destination of oxygen it seems reasonable to suggest that measuring oxygen at the mitochondrial level might provide insight in the need for RBC transfusion. Mitochondrial oxygen tension (mitoPO<sub>2</sub>) is a novel clinical parameter that can be measured by an optical technology. This narrative review provides a brief introduction on mitoPO<sub>2</sub> monitoring and uses 5 recent studies to explore the potential of mitoPO<sub>2</sub> as tool for assessing need for transfusion and/or monitoring the effect of transfusion. A mathematical model shows an ideal behavior of mitoPO<sub>2</sub> on critical hematocrit and from 4 recent clinical studies we learn that mitoPO<sub>2</sub> is an independent parameter that can be used in transfusion-related studies. Further investigation into the potential role of mitoPO<sub>2</sub> in transfusion medicine is needed.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150932"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.tmrv.2025.150927
R.P.B. Tonino , M.R. Schipperus , J.J. Zwaginga
Chronic transfusion-dependent anemia presents ongoing challenges in optimizing symptom control and functional outcomes, particularly in an older, often comorbid patient group. Conventional transfusion strategies based on fixed hemoglobin thresholds may inadequately address the individual variability in oxygen delivery needs and symptom burden. Wearable biosensor technologies enable continuous monitoring of physiological parameters such as heart rate, respiratory rate, and physical activity in real-world settings. These tools offer the potential to detect early deterioration and support more responsive, patient-centered transfusion decisions and improve hemovigilance. This review evaluates current evidence on the feasibility, acceptability, and clinical relevance of biosensor use in transfusion medicine. Findings from recent pilot studies demonstrate high data quality, favorable tolerability, and preliminary indications of physiological response following transfusion. However, the clinical utility of biosensor-guided transfusion strategies remains unproven, with key challenges including data interpretation, workflow integration, and validation of clinically meaningful endpoints. As the field moves toward personalized supportive care, biosensors may offer a novel means to optimize transfusion timing, preserve functional capacity, and enhance quality of life.
{"title":"Toward Personalized Transfusion Strategies: The Emerging Role of Wearable Biosensors in Chronic Anemia Management","authors":"R.P.B. Tonino , M.R. Schipperus , J.J. Zwaginga","doi":"10.1016/j.tmrv.2025.150927","DOIUrl":"10.1016/j.tmrv.2025.150927","url":null,"abstract":"<div><div>Chronic transfusion-dependent anemia presents ongoing challenges in optimizing symptom control and functional outcomes, particularly in an older, often comorbid patient group. Conventional transfusion strategies based on fixed hemoglobin thresholds may inadequately address the individual variability in oxygen delivery needs and symptom burden. Wearable biosensor technologies enable continuous monitoring of physiological parameters such as heart rate, respiratory rate, and physical activity in real-world settings. These tools offer the potential to detect early deterioration and support more responsive, patient-centered transfusion decisions and improve hemovigilance. This review evaluates current evidence on the feasibility, acceptability, and clinical relevance of biosensor use in transfusion medicine. Findings from recent pilot studies demonstrate high data quality, favorable tolerability, and preliminary indications of physiological response following transfusion. However, the clinical utility of biosensor-guided transfusion strategies remains unproven, with key challenges including data interpretation, workflow integration, and validation of clinically meaningful endpoints. As the field moves toward personalized supportive care, biosensors may offer a novel means to optimize transfusion timing, preserve functional capacity, and enhance quality of life.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150927"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-11DOI: 10.1016/j.tmrv.2025.150928
Lorna Cain, Asha Aggarwal, Louise J Geneen, Carolyn Dorée, Lise J Estcourt, Rebecca Cardigan, Michael Desborough
Transfusion of ABO identical platelets is recommended in national guidelines, though transfusion of ABO non-identical platelets has been widely adopted to ensure availability and reduce wastage. When ABO non-identical platelets are necessitated, there is a lack of consensus on prioritisation of major or minor compatibility. We conducted a systematic review and meta-analysis (PROSPERO CRD42023450792) of randomised and non-randomised studies to assess whether there is a difference when comparing ABO-identical and non-identical (major, minor, bi-directional mismatch) platelet transfusions. From 4177 potential references, 18 studies met our criteria: 3 randomised controlled trials (RCTs), 8 prospective and 7 retrospective observational studies. Evidence was very low certainty as to whether there was a difference from transfusion of ABO identical or non-identical platelets, where data were available, for clinically significant (WHO grade 2+ and 3+) bleeding, mortality, acute transfusion reactions, platelet refractoriness. Platelet increments were the most frequently reported outcomes. Overall, there was a paucity of evidence for clinical outcome data including bleeding risk for ABO identical compared to non-identical transfusion. We make recommendations for designing and reporting future platelet ABO matching studies based on our observations in this review. Future studies should consider the effect of repeated exposure to ABO identical or non-identical transfusions and known confounders.
{"title":"ABO matching for platelet transfusions for prevention or treatment of bleeding: A systematic review with meta-analysis.","authors":"Lorna Cain, Asha Aggarwal, Louise J Geneen, Carolyn Dorée, Lise J Estcourt, Rebecca Cardigan, Michael Desborough","doi":"10.1016/j.tmrv.2025.150928","DOIUrl":"https://doi.org/10.1016/j.tmrv.2025.150928","url":null,"abstract":"<p><p>Transfusion of ABO identical platelets is recommended in national guidelines, though transfusion of ABO non-identical platelets has been widely adopted to ensure availability and reduce wastage. When ABO non-identical platelets are necessitated, there is a lack of consensus on prioritisation of major or minor compatibility. We conducted a systematic review and meta-analysis (PROSPERO CRD42023450792) of randomised and non-randomised studies to assess whether there is a difference when comparing ABO-identical and non-identical (major, minor, bi-directional mismatch) platelet transfusions. From 4177 potential references, 18 studies met our criteria: 3 randomised controlled trials (RCTs), 8 prospective and 7 retrospective observational studies. Evidence was very low certainty as to whether there was a difference from transfusion of ABO identical or non-identical platelets, where data were available, for clinically significant (WHO grade 2+ and 3+) bleeding, mortality, acute transfusion reactions, platelet refractoriness. Platelet increments were the most frequently reported outcomes. Overall, there was a paucity of evidence for clinical outcome data including bleeding risk for ABO identical compared to non-identical transfusion. We make recommendations for designing and reporting future platelet ABO matching studies based on our observations in this review. Future studies should consider the effect of repeated exposure to ABO identical or non-identical transfusions and known confounders.</p>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":" ","pages":"150928"},"PeriodicalIF":2.5,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-24DOI: 10.1016/j.tmrv.2025.150926
Na Li , Ruchika Goel , Sheharyar Raza , Kiarash Riazi , Jie Pan , Huong Quynh Nguyen , Andrew W. Shih , Adam D’Souza , Rounak Dubey , Aaron A.R. Tobian , Donald M. Arnold
Transfusion medicine is vital to healthcare and affects clinical outcomes, patient safety, and system resilience while addressing challenges such as blood shortages, donor variability, and rising costs. The integration of artificial intelligence (AI) and machine learning (ML) presents new opportunities to improve clinical decision-making and operational effectiveness in this field. This structured narrative review identified and evaluated studies applying AI and ML in transfusion medicine. A search of PubMed and Scopus for articles published between January 2018 and April 2025 yielded 565 publications. Studies were included if they applied AI or ML techniques, focused on transfusion management or decision support, and were evaluated using electronic health records or expert review. Four exemplar studies were selected, each representing a distinct AI paradigm: supervised, unsupervised, reinforcement, and generative learning. These studies were critically appraised for methodological rigor, clinical relevance, and potential for implementation in practice. The reviewed studies reflected a clear shift from traditional analytic methods toward more advanced computational approaches to improve prediction accuracy, optimize resource allocation, and support clinical decision-making. Three overarching themes emerged: the need to balance model complexity with interpretability and clinical feasibility; the impact of data quality and preprocessing on model performance and fairness; and the barriers to broader applicability and cross-institutional deployment. As technological barriers continue to decline, future challenges will increasingly center on privacy regulations, infrastructure constraints, and aligning model complexity with practical utility. Thoughtful integration of these considerations through scalable, clinical-grade, and transparent solutions will be critical in realizing the full potential of AI and ML in transfusion medicine.
{"title":"Artificial Intelligence and Machine Learning in Transfusion Practice: An Analytical Assessment","authors":"Na Li , Ruchika Goel , Sheharyar Raza , Kiarash Riazi , Jie Pan , Huong Quynh Nguyen , Andrew W. Shih , Adam D’Souza , Rounak Dubey , Aaron A.R. Tobian , Donald M. Arnold","doi":"10.1016/j.tmrv.2025.150926","DOIUrl":"10.1016/j.tmrv.2025.150926","url":null,"abstract":"<div><div>Transfusion medicine is vital to healthcare and affects clinical outcomes, patient safety, and system resilience while addressing challenges such as blood shortages, donor variability, and rising costs. The integration of artificial intelligence (AI) and machine learning (ML) presents new opportunities to improve clinical decision-making and operational effectiveness in this field. This structured narrative review identified and evaluated studies applying AI and ML in transfusion medicine. A search of PubMed and Scopus for articles published between January 2018 and April 2025 yielded 565 publications. Studies were included if they applied AI or ML techniques, focused on transfusion management or decision support, and were evaluated using electronic health records or expert review. Four exemplar studies were selected, each representing a distinct AI paradigm: supervised, unsupervised, reinforcement, and generative learning. These studies were critically appraised for methodological rigor, clinical relevance, and potential for implementation in practice. The reviewed studies reflected a clear shift from traditional analytic methods toward more advanced computational approaches to improve prediction accuracy, optimize resource allocation, and support clinical decision-making. Three overarching themes emerged: the need to balance model complexity with interpretability and clinical feasibility; the impact of data quality and preprocessing on model performance and fairness; and the barriers to broader applicability and cross-institutional deployment. As technological barriers continue to decline, future challenges will increasingly center on privacy regulations, infrastructure constraints, and aligning model complexity with practical utility. Thoughtful integration of these considerations through scalable, clinical-grade, and transparent solutions will be critical in realizing the full potential of AI and ML in transfusion medicine.</div></div>","PeriodicalId":56081,"journal":{"name":"Transfusion Medicine Reviews","volume":"39 4","pages":"Article 150926"},"PeriodicalIF":2.5,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}