Acute leukemia detection rate by automated blood count parameters and peripheral smear review

The Role of Erythrocyte Sedimentation Rate (ESR) in Myeloproliferative and Lymphoproliferative Diseases: Comparison between DIESSE CUBE 30 TOUCH and Alifax Test 1

(1) Background: The erythrocyte sedimentation rate (ESR) is widely diffused in hematology laboratories to monitor inflammatory statuses, response to therapies (such as antibiotics), and oncologic diseases. However, ESR is not a specific diagnostic marker but needs to be contextualized and compared with clinical and other laboratory findings. This study aimed to investigate the performance of two automated instruments, namely the DIESSE CUBE 30 TOUCH (DIESSE, Siena, Italy) and the Alifax Test 1 (Alifax Srl, Polverara, Italy), in comparison with the gold standard, the Westergren method, in lymphoproliferative and myeloproliferative patients. (2) Methods: 97 EDTA samples were selected from the hematology department of Roma Tor Vergata Hospital and analyzed. Statistical analysis was applied. (3) A good correlation between CUBE 30 TOUCH and the gold standard was observed in the overall sample (R2 = 0.90), as well as in patients with lymphoproliferative diseases (R2 = 0.90) and myeloproliferative diseases (R2 = 0.90). The correlation between Test 1 and the gold standard was observed in the overall sample (R2 = 0.68), as well as in patients with lymphoproliferative diseases (R2 = 0.79) and myeloproliferative diseases (R2 = 0.53). (4) Conclusions: The CUBE 30 TOUCH appears to be a more trustworthy tool for evaluating ESR in these pathologies.

High molecular risk variants, severe thrombocytopenia and large unstained cells count affect the outcome in primary myelofibrosis

Apart from the driver mutations, high molecular risk (HMR) variants and other factors have been reported to influence the prognosis of primary myelofibrosis (PMF). The aim of our study was to investigate the impact of laboratory and molecular characteristics at the time of diagnosis (TOD) on the PMF outcome. The study group consisted of 82 patients recruited from three Polish university centers. Among the driver mutations, only CALR type 1 positively influenced the overall survival (OS). The risk of progression to accelerated or blastic disease phase (AP/BP) did not depend on the driver mutation type, but was closely associated with the presence of HMR variants (p = 0.0062). The risk of death (ROD) was higher in patients with HMR variants (OR[95%CI] = 4.33[1.52;12.34], p = 0.0044) and in patients with a platelet count at the TOD between 50-100 G/L (HR[95%CI] = 2.66[1.11;6.35]) and < 50 G/L (HR[95%CI] = 8.44[2.50;28.44]). Median survival time was 7.8, 2.2 and 1.4 years in patients with large unstained cells (LUC) count of [0.0-0.2], (0.2-0.4] and > 0.4 G/L at the TOD, respectively. We found an unexpected, hitherto undescribed, association between LUC count at the TOD and PMF prognosis. Our analysis led to the following conclusions: in PMF patients at the TOD 1) the presence of HMR variants, especially combined, is associated with an increased risk of progression to the AP and BP, and shorter OS, 2) severe thrombocytopenia confers worse prognosis than the moderate one, 3) LUC count is closely related with the disease phase, and associated with the ROD and OS.

Role of large unstained cells in predicting successful stem cell collection in autologous stem cell transplantation

INTRODUCTION

Sufficient stem cell collection is mandatory for Autologous stem cell transplantation (ASCT). Peripheral CD34+ stem CD34 + stem cell counting by flow cytometry is the gold standard method in both the predicting and timing of successful stem cell collection. Large unstained cells (LUC) are large peroxidase-negative cells that are displayed on certain automatic cell counters and present large lymphocytes, virocytes, blasts, abnormal cells and hematopoietic stem cells. In this study, we evaluated the role of LUC parameters in the timing and prediction of successful stem cell collection.

METHODS

Patients with a diagnosis of multiple myeloma, lymphoma and testis tumor who proceed to ASCT were included in this study. Preapheresis LUC parameters were analyzed with Siemens ADVIA® 2120i system., Kruskal Wallis, Mann-Whitney U, Spearman Rho and receiver-operator curve (ROC) tests were used for analyses.

RESULTS

Ninety patients were evaluated. Peripheral CD34 + cell count was positively correlated with both LUC count (p = 0014) and LUC percentage (p = 0,01). LUC percentage in peripheral blood was positively correlated with mobilized stem cell count in the yield (p = 0.003). We found a LUC count of > 0.485 × 10⁹/L as a cut-off value for detecting > 20 × 10⁶/L CD34 +cells in the peripheral blood with a sensitivity of 64.6% and specificity of 75%. We defined > 2.15% as a cut-off value for LUC percentage to collect > 5 × 10⁶/kg of stem cells with a sensitivity of 64% and specificity of 63%. Additionally, total nucleated cell (TNC) count was negatively correlated with LUC percentage (p = 0.014) and positively correlated with LUC count (p = 0.001).

CONCLUSION

LUC parameters are readily available, simple and cheap tools that can be useful in both timing of CD34 count by flow cytometry in peripheral blood and in the prediction of successful mobilization. LUCs can also be an indicator of graft composition.

Parameters of the complete blood count predict in hospital mortality

INTRODUCTION

Mortality rates are used to evaluate the quality of hospital care after adjusting for disease severity and, commonly also, for age, comorbidity, and laboratory data with only few parameters of the complete blood count (CBC).

OBJECTIVE

To identify the parameters of the CBC that predict independently in-hospital mortality of acutely admitted patients.

POPULATION

All patients were admitted to internal medicine, cardiology, and intensive care departments at the Laniado Hospital in Israel in 2018 and 2019.

VARIABLES

Independent variables were patients' age, sex, and parameters of the CBC. The outcome variable was in-hospital mortality.

ANALYSIS

Logistic regression. In 2018, we identified the variables that were associated with in-hospital mortality and validated this association in the 2019 cohort.

RESULTS

In the validation cohort, a model consisting of nine parameters that are commonly available in modern analyzers had a c-statistics (area under the receiver operator curve) of 0.86 and a 10%-90% risk gradient of 0%-21.4%. After including the proportions of large unstained cells, hypochromic, and macrocytic red cells, the c-statistic increased to 0.89, and the risk gradient to 0.1%-29.5%.

CONCLUSION

The commonly available parameters of the CBC predict in-hospital mortality. Addition of the proportions of hypochromic red cells, macrocytic red cells, and large unstained cells may improve the predictive value of the CBC.

Comparison of Different Small Clinical Hematology Laboratory Configurations With Focus on Remote Smear Imaging

CONTEXT.—

Stand-alone clinical sites (eg, infusion centers) are becoming increasingly common. These sites require timely hematology analysis. Here we compare performance and costs of currently available analysis configurations with special focus on a proposed alternative using a minimal hematology analyzer plus a digital imaging device, allowing for remote oversight and interpretation.

OBJECTIVES.—

To determine whether low-volume laboratories might realize savings while gaining function by substituting commonly used configurations with a proposed alternative.

DESIGN.—

To evaluate the performance of the proposed alternative configuration, blood counts with automated differentials produced by a Sysmex XE5000 (complete blood count reference method) were compared with cell counts from the Sysmex pocH-100i, CellaVision DM96 preclassified differentials, and DM96 reclassified differentials (differential reference method) by using standard regression analyses, 95% CIs, and truth tables. Financial cost modeling used staffing practices, test volumes, and smear production rates observed at remote clinics performing on-site hematology analysis within the University of California at San Diego Health system.

RESULTS.—

Differential blood count parameters showed excellent correlation between the XE5000 and preclassification DM96 with R² > 0.95. For blasts/abnormal cells, immature granulocytes, and nucleated red blood cells, the DM96 showed higher sensitivity and similar specificity to the XE5000. Cost modeling revealed that decreased personnel costs through remote monitoring of results facilitated by the DM96 would lead to lower operational costs relative to more conventional analysis configurations.

CONCLUSIONS.—

A digital imaging instrument with an inexpensive hematology analyzer provides similar information to a complex hematology analyzer and allows remote review of the blood smear findings by experts, leading to significant cost savings.