1,720,982 research outputs found
Biological variation estimates of complete blood count parameters in healthy subjects
No full textBackground: the complete blood count (CBC) is the test more frequently requested in clinical practice. Therefore, estimating the biological variation (BV) of CBC parameters is essential for assessing the analytical performance of hematological analyzers and for enabling accurate data interpretation and appropriate clinical management. This study was aimed to define BV estimates and reference change value (RCV) of CBC parameters. Methods: the study population consisted of 21 healthy volunteers, who had BV of CBC parameters assessed with Sysmex XN. The study protocol, the analytical measurements and the statistical analysis were carried out according to current recommendations of the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM). Results: Within-subject BV ranged between 0,3% for mean cell hemoglobin (MCH) and 19,7% for immature granulocytes (IG), whilst between-subjects BVs ranged between 0,9% for mean corpuscolar haemoglobin concentration (MCHC) and 66,6% for microcytic red blood cells (Micro-R). The RCV ranged between 2,3% for MCH and 73,5% for IG. Conclusion: This study has allowed the estimation of BV of many CBC parameters, some of which have not been currently explored, thus leading the way to use RCV calculated according to time of monitoring and/or differentiated by sex
Validation rules for blood smear revision after automated hematological testing using Mindray CAL-8000
No full textThis article was aimed to test the use of validation rules for blood smear review after automated hematological testing using Mindray CAL-8000 (two hematological analyzers and one autoslider)
A specific abnormal scattergram of peripheral blood leukocytes suggestive for the presence of proerythroblast
No full textA specific abnormal scattergram of peripheral blood leukocytes suggestive for the presence of proerythroblast
Cell population data and reflex testing rules of cell analysis in pleural and ascitic fluids using body fluid mode on sysmex XN-9000
No full textBACKGROUND: Although optical microscopy (OM) remains the reference technique for analysis of ascitic (AF) and pleural (PF) fluids, novel hematological analyzers are equipped with modules for body fluids (BFs) analysis. This study was aimed to analyze the performance of XN-BF module in Sysmex XN-9000, and to develop validation rules for automated cell counts in BFs.METHODS: The evaluation of XN-BF module included assessment of carryover, Limit of Blank (LoB), Limit of Detection (LoD), Limit of Quantitation (LoQ), linearity, data comparison with OM, and development of rules for assisting the validation of automated analysis of BFs and activating reflex testing.RESULTS: The carryover was negligible. The LoB, LoD, LoQ and linearity were always excellent. The comparison with OM was characterized by Pearson's correlations ranging from r=0.50 to r=0.99 (p<0.001), modest bias and high diagnostic concordance (Area Under the Curve between 0.85-0.99). The use of instrument-specific cut-offs further increased diagnostic concordance. The implementation of reflex testing rules based on XN-BF data increased sensitivity and specificity of BFs classification to 0.98 and 0.95.CONCLUSIONS: Our results suggest that the XN-BF module on Sysmex-9000 may be a suitable alternative to OM for screening BF samples, especially when specific validation rules are used
Automated cerebrospinal fluid cell counts using the new body fluid mode of Sysmex UF-1000i
No full textBackground: We evaluated the new body fluid module on Sysmex UF1000i (UF1000i-BF) for analysis of white blood cell (WBC) and red blood cell (RBC) in cerebrospinal fluid (CSF). Methods: WBC and RBC counting were compared between UF1000i-BF and Fuchs-Rosenthal counting chamber in 67 CSF samples. This study also included the evaluation of between-day precision, limit of blank (LoB), limit of detection (LoD), functional sensitivity (limit of quantitation, LoQ), carryover and linearity. Diagnostic agreement for differentiation between normal and increased WBC counts (>= 5.0 x 10(6)/L) was also assessed. Results: The agreement between UF1000i-BF and manual WBC counts was otpiaml in all CSF samples (r = 0.99; y = 1.05x + 0.09). A modest overestimation was noticed in samples with WBC = 18 x 10(6)/L (r = 0.98; y = 1.01x + 8.90). Between-day precision was good, with coefficient of variations (CVs) lower than 7.2% for both WBC and RBC. The LoBs were 0.1 x 10(6) WBC/L and 1.2 x 10(6) RBC/L, the LoDs were 0.7 x 10(6) WBC/L and 5.5 x 10(6) RBC/L, the LoQswere 2.4x10(6) WBC/L and 18.0 x 10(6) RBC/L, respectively. Linearity was excellent (r = 1.00 for bothWBC and RBC). Carryover was negligible. Excellent diagnostic agreement was obtained at 4.5 x 10(6) WBC/L cut-off (sensitivity, 100%; specificity, 97.4%). Conclusion: The UF1000i-BF provides rapid and accurate WBC and RBC counts in clinically relevant values of CSF cells. The use of UF1000i-BF may hence allow to replace routine optical counting, except for samples displaying abnormal WBC counts or abnormal scattergram distribution, for which differential cell counts may still be required. (C) 2015 Wiley Periodicals, Inc
Biological variation of platelet parameters determined by the Sysmex XN haematology analyzer
No full textThis study was aimed to define the short- and medium-term biological variation (BV) estimates, the index of individuality and the reference change value (RCV) of platelet count, platelet distribution width, mean platelet volume, platelet larger cell ratio, plateletcrit and immature platelet fraction
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Lack of harmonization in high fluorescent cell automated counts with body fluids mode in ascitic, pleural, synovial, and cerebrospinal fluids
No full textINTRODUCTION. Cellular analysis in body fluids (BFs) provides important diagnostic information in various pathological settings. This study was hence aimed at comparing automated cell count obtained with Mindray BC-6800 (BC-BF) vs Sysmex XN-series (XN-BF) and evaluating other quantitative and qualitative information provided by these analyzers in ascitic (AF), pleural (PF), synovial (SF), and cerebrospinal (CSF) fluids. METHODS: Three hundred and fifty-one samples (99 AFs, 45 PFs, 75 SFs, and 132 CSFs) were analyzed in parallel with BC-BF, XN-BF, and optical microscopy (OM). The study also included the assessment of diagnostic agreement among BC-BF, XN-BF, and OM. RESULTS: The comparison of BC-BF vs XN-BF yielded slopes of Passing and Bablok regression always comprised between 0.9 and 1.0 except for EO-BF and HF-BF, whilst the intercepts ranged from -0.4 for MN-BF and 12.0 for PMN-BF. The bias was comprised between -103.3% and 67.1% for HF-BF and EO-BF, respectively. A significant bias was found for TC-BF, WBC-BF, HF-BF (negative bias) and for PMN-BF and EO-BF (positive bias). The agreement (Cohen's kappa) between XN-BF and BC-BF was always ≥0.7, ranging between 0.87 in CSFs and 0.94 in AFs, and that with OM was similar (ie, 0.85 and 0.96). CONCLUSION: The cytometric analysis of BF samples using BC-BF and XN-BF is clinically favorable when appropriately combined with OM. Quantitative and qualitative parameters displayed optimal agreement, whilst instrument-specific cut-offs should be defined and implemented for HF-BF and EO-BF. Further efforts should be made for achieving better harmonization in cytometric analysis of BF samples
Short- and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural parameters (cell population data) in blood samples obtained from healthy people
No full textBACKGROUND: Recent studies showed that some cell population data (CPD) parameters of neutrophils may be useful for diagnosing myelodysplastic syndromes and sepsis, for the differential diagnosis of acute promyelocytic leukemia, and some CPD parameters of lymphocytes may be a valuable tool for preliminary screening of B cell lymphoproliferative disease. Notwithstanding the knowledge, no information has been made available about their analytical quality specification. This study was aimed to define short- and medium-term biological variation (BV) estimates and reference change value (RCV) of leukocyte count, extended leukocyte differential and CPD. METHODS: The study population consisted of 43 healthy volunteers, who participated in the assessment of medium-term (21 volunteers; blood sampling once a week for 5 consecutive weeks) and short-term (22 volunteers; blood sampling once a day for 5 consecutive days) BV, using Sysmex XN. Outlier analysis was carried out before CV-ANOVA, to determine BV estimates and their confidence intervals. RESULTS: The medium-term and short-term within-subject BV (CVI) was comprised between 0.6-19.7% and 0.2-21.9%, whereas the medium-term and short-term between-subjects BV (CVG) was comprised between 1.2-61.5% and 1.1-58.5%. The RCVs were found to be similar for all the parameters, in both arms of the study, except for some CPD parameters. CONCLUSION: This study allowed accurately estimating the BV of many leukocyte parameters, some of which have not been currently explored. The kinetics of some leukocyte turnover suggests the use of short-term BV data for calculating analytical goals and RCV
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