Novel cell population data from a haematology analyzer can predict timing and efficiency of stem cell transplantation

Golubeva, V I; Mikhalevich, Juliana; Novikova, Yulia; Tupizina, Olga; Trofimova, Svetlana A.; Zueva, Yekaterina

doi:10.1016/j.transci.2013.12.004

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…All blood samples were analyzed on a UniCel® DxH 800 hematology analyzer (Beckman Coulter, Inc.) within 2 h of collection. This instrument has a unique capability to measure specific cell volume parameters and the distribution of cell volumes within a group of cells, as previously reported [22,23].…”

Section: Clinical Trial Protocolmentioning

confidence: 87%

Monocyte distribution width enhances early sepsis detection in the emergency department beyond SIRS and qSOFA

et al. 2020

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Background: The initial presentation of sepsis in the emergency department (ED) is difficult to distinguish from other acute illnesses based upon similar clinical presentations. A new blood parameter, a measurement of increased monocyte volume distribution width (MDW), may be used in combination with other clinical parameters to improve early sepsis detection. We sought to determine if MDW, when combined with other available clinical parameters at the time of ED presentation, improves the early detection of sepsis. Methods: A retrospective analysis of prospectively collected clinical data available during the initial ED encounter of 2158 adult patients who were enrolled from emergency departments of three major academic centers, of which 385 fulfilled Sepsis-2 criteria, and 243 fulfilled Sepsis-3 criteria within 12 h of admission. Sepsis probabilities were determined based on MDW values, alone or in combination with components of systemic inflammatory response syndrome (SIRS) or quick sepsis-related organ failure assessment (qSOFA) score obtained during the initial patient presentation (i.e., within 2 h of ED admission). Results: Abnormal MDW (> 20.0) consistently increased sepsis probability, and normal MDW consistently reduced sepsis probability when used in combination with SIRS criteria (tachycardia, tachypnea, abnormal white blood count, or body temperature) or qSOFA criteria (tachypnea, altered mental status, but not hypotension). Overall, and regardless of other SIRS or qSOFA variables, MDW > 20.0 (vs. MDW ≤ 20.0) at the time of the initial ED encounter was associated with an approximately 6-fold increase in the odds of Sepsis-2, and an approximately 4-fold increase in the odds of Sepsis-3. Conclusions: MDW improves the early detection of sepsis during the initial ED encounter and is complementary to SIRS and qSOFA parameters that are currently used for this purpose. This study supports the incorporation of MDW with other readily available clinical parameters during the initial ED encounter for the early detection of sepsis.

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Section: Clinical Trial Protocolmentioning

confidence: 87%

Monocyte distribution width enhances early sepsis detection in the emergency department beyond SIRS and qSOFA

et al. 2020

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“…Lee et al reported that SD-V-NE, SD-V-MO, SD-C-NE, SD-C-MO, MN-C-NE, MN-C-MO, SD-AL2-NE, and SD-AL2-MO were significantly increased in a G-CSF administered group, as compared with in the control group [13]. Golubeva et al reported that MN-V-NE and SD-V-NE correlated with the CD34+ cell count [5]; however, only SD-V-NE significantly correlated with the CD34+ cell count in our study. These markers can be regarded as reflecting a left shift of leukocytes, rather than a direct measurement of stem cells in a sample.…”

Section: Discussionmentioning

confidence: 99%

“…The timing of the initiation of the apheresis schedule is important for maximizing the HSC yield in an apheresis product [4]. The most accurate and recommended method to predict the HSC yield is measuring the CD34+ cell count in peripheral blood (PB); however, this requires an additional 1–2 hours of analysis time, a flow-cytometer and reagents, and experienced technicians [5]. Therefore, surrogate markers obtained by an easy and inexpensive method can aid in daily HSC monitoring and allow fast medical decision-making for apheresis initiation.…”

Section: Introductionmentioning

confidence: 99%

Identification of cell morphology parameters from automatic hematology analyzers to predict the peripheral blood CD34-positive cell count after mobilization

et al. 2017

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Optimal timing of apheresis initiation is important for maximizing the hematopoietic stem cell (HSC) yield. This study aimed to identify useful parameters from automatic hematology analyzers for predicting the peripheral blood CD34+ cell count after mobilization. We prospectively enrolled 53 healthy donors and 72 patients, and evaluated 43 cell morphology parameters from Unicel DxH800 (Beckman Coulter, USA) and Advia 2120i (Siemens Healthcare Diagnostics, USA). The correlation of each parameter with the CD34+ cell count in pre-apheresis blood samples was analyzed. The delta neutrophil index (DNI) from Advia 2120i, standard deviation of volume of neutrophils and monocytes (SD-V-NE and SD-V-MO), standard deviation of conductivity of neutrophils and monocytes (SD-C-NE and SD-C-MO), mean conductivity of neutrophils and monocytes (MN-C-NE and MN-C-MO), and standard deviation of axial light loss of neutrophils and monocytes (SD-AL2-NE and SD-AL2-MO) from DxH800 showed significant correlations with the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO showed good or fair area under the curve values for the prediction of the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO from DxH800 will provide rapid, useful information for the initiation of apheresis after mobilization.

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“…To treat hematologic and non-hematologic malignancies, autologous HSC transplantation is frequently used to rescue hematopoiesis after high-dose chemotherapy. Upon congenital and acquired marrow failures, this method is also widely used to continuously meet mature blood cell replenishment requirements [ 61 ]. iPSCs are also better than other stem cells for assessing candidate antitumor drug toxicities [ 62 ].…”

Section: Factors Influencing Stem Cell Therapiesmentioning

confidence: 99%

“…Treatment outcomes are affected by transplanted cell numbers and transplantation timing. Transplantation of an insufficient number of HSCs in patients with oncohematological diseases results in inefficient hematopoietic component replacement, and diseases easily relapse [ 61 ]. However, a too-large number of transplanted cells may increase the risk of teratoma formation or ectopic engraftment.…”

Section: Factors Influencing Stem Cell Therapiesmentioning

confidence: 99%

Stem cells in cancer therapy: opportunities and challenges

et al. 2017

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Metastatic cancer cells generally cannot be eradicated using traditional surgical or chemoradiotherapeutic strategies, and disease recurrence is extremely common following treatment. On the other hand, therapies employing stem cells are showing increasing promise in the treatment of cancer. Stem cells can function as novel delivery platforms by homing to and targeting both primary and metastatic tumor foci. Stem cells engineered to stably express various cytotoxic agents decrease tumor volumes and extend survival in preclinical animal models. They have also been employed as virus and nanoparticle carriers to enhance primary therapeutic efficacies and relieve treatment side effects. Additionally, stem cells can be applied in regenerative medicine, immunotherapy, cancer stem cell-targeted therapy, and anticancer drug screening applications. However, while using stem cells to treat human cancers appears technically feasible, challenges such as treatment durability and tumorigenesis necessitate further study to improve therapeutic performance and applicability. This review focuses on recent progress toward stem cell-based cancer treatments, and summarizes treatment advantages, opportunities, and shortcomings, potentially helping to refine future trials and facilitate the translation from experimental to clinical studies.

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Novel cell population data from a haematology analyzer can predict timing and efficiency of stem cell transplantation

Cited by 12 publications

References 34 publications

Monocyte distribution width enhances early sepsis detection in the emergency department beyond SIRS and qSOFA

Monocyte distribution width enhances early sepsis detection in the emergency department beyond SIRS and qSOFA

Identification of cell morphology parameters from automatic hematology analyzers to predict the peripheral blood CD34-positive cell count after mobilization

Stem cells in cancer therapy: opportunities and challenges

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