Journal articles: 'Sysmex XN-1000'

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Velizarova, Milena, Teodora Yacheva, Mariana Genova, and Dobrin Svinarov. "Evaluation of automated hematology analyzer DYMIND DH76 compared to SYSMEX XN 1000 system." Journal of Medical Biochemistry 40, no. 4 (2021): 367–77. http://dx.doi.org/10.5937/jomb0-28836.

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Background: DYMIND DH76 (DYMIND BIOTECH, China) is a new automated hematology system designed to provide CBC count, including a 5-part WBC differential count, and its analytical performance should be assessed before adoption for clinical use. Methods: The analyzer was evaluated according to the International Council for Standardization in Haematology guideline. The purposes of this study were to assess its analytical performance in comparison to SYSMEX XN 1000 hematology analyzer currently used in our laboratory, as well as to compare the automated and manual WBC differential. Results: Within-run precision in all concentration ranges was very good with coefficients of variation (CVs) between 0.02% and 2.5% except for platelets over 500×109/L (CV 9.5%). Within-batch imprecision showed CVs lower the declared deviation ranges. Accuracy (defined as trueness) was excellent for all CBC and white cell differential parameters, compared with the state of the art%. Linearity was confirmed with excellent regression coefficients (0.999-1.000), even in the lowest values, and carryover was ≤ 1%. Comparison between DYMIND DH76 and SYSMEX XN 1000 was also very good with correlation coefficients (R2) for WBC (1.000), RBC (0.999), hemoglobin (0.999) and PLT over 50×109/L (0.994) and R2 was lower but still acceptable (0.910) for PLT<50×109/L. R2 for neutrophils, lymphocytes, eosinophils, basophils, and monocytes were 0.974, 0.982, 0.957, 0.625, and 0.836, respectively, in the comparison between the manual and DYMIND DH76 automated differential WBC counts. Conclusions: With excellent analytical performance and acceptable comparative analysis, DYMIND DH76 hematology analyser covered the predefined international standards and requirements and is fully appropriate for clinical application.

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Ranoko, Merylin, Aryati Aryati, and Arifoel Hajat. "CORRELATION BETWEEN WDF, WNR, AND RET ABNORMAL SCATTERGRAM DETECTED BY SYSMEX XN-1000 AND PARASITEMIA OF MALARIA PATIENTS IN MERAUKE HOSPITAL." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 26, no. 1 (November 22, 2019): 91. http://dx.doi.org/10.24293/ijcpml.v26i1.1521.

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Malaria remains a health problem in Indonesia. Microscopic examination with Giemsa staining is the gold standard for diagnosing malaria. The density of parasites correlates with the degree of severity and response to therapy of malaria. Malaria-causing plasmodium can be detected by Sysmex XN-1000 which is marked by abnormalities in the WDF, WNR and RET scattergram. This research aimed to determine the correlation of WDF, WNR and RET abnormal scattergram detected by Sysmex XN-1000 and the parasitemia index of malaria at the Merauke General Hospital. This was a cross-sectional study with observational approach conducted between November 2017 – February 2018 at the Merauke General Hospital. Positive malaria samples were stained with Giemsa, their parasitemia index was calculated, routine complete blood count using Sysmex XN-1000 was performed, and the scattergram abnormalities were then analyzed. There were 65 positive malaria samples as follows: P.falciparum (35%), P.vivax (60%), P.ovale (3.1%), and P.malariae (1.5%), but the species did not correlate with parasitemic index (p=0.691). Abnormalities of WDF and WNR scattergram were predominantly found than RET scattergram (80% vs. 27.7%). P.vivax predominantly caused abnormalities of the WDF and WNR scattergram in 36 of 39 samples (92.3%), whereas P.falciparum predominantly caused abnomalities of the RET scattergram in 14 of 23 samples (60.9%). There was 95% positivity of an abnormality in WDF/WNR/RET scattergram with a cut-off of > 5,0165.5/µL. There was correlation between WDF, WNR, RET scattergram detected by Sysmex XN-1000 and the parasitemia index.

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Sunilkumar, KB, and Preeta Naik. "Usefulness of automated hematology analyzer Sysmex XN 1000 in detection of Malaria." Indian Journal of Pathology and Oncology 3, no. 4 (2016): 658. http://dx.doi.org/10.5958/2394-6792.2016.00122.8.

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Pei, Lulu X., Tebogo T. Leepile, Kelsey M. Cochrane, Kaitlyn L. I. Samson, Jordie A. J. Fischer, Brock A. Williams, Hou Kroeun, Lizl Bonifacio, and Crystal D. Karakochuk. "Can Automated Hematology Analyzers Predict the Presence of a Genetic Hemoglobinopathy? An Analysis of Hematological Biomarkers in Cambodian Women." Diagnostics 11, no. 2 (February 3, 2021): 228. http://dx.doi.org/10.3390/diagnostics11020228.

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Genetic hemoglobinopathies are the most common single-gene disorder worldwide. Some automated hematology analyzers have the capability of flagging individuals who may have hematological disorders based on complete blood count (CBC) biomarkers. We aimed to evaluate the accuracy of a hematology analyzer in identifying genetic hemoglobinopathies in Cambodian women and to determine which hematological biomarkers are the best predictors. A CBC was completed using a Sysmex XN-1000 analyzer and hemoglobinopathies were determined with capillary hemoglobin electrophoresis for 808 nonpregnant Cambodian women. Sysmex XN-1000 Interpretive Program (IP) messages, which flag potential hematological disorders, were produced from CBC results. Then, 2 × 2 tables were used to determine sensitivity and specificity of the IP message “Hemoglobin defect” to detect a genetic hemoglobinopathy. Receiver operating characteristic (ROC) analyses assessed the diagnostic ability of six CBC biomarkers to predict a genetic hemoglobinopathy. In total, 74% of women had a hemoglobinopathy (predominantly Hb E and α-thalassemia). “Hb defect” IP message sensitivity and specificity for genetic hemoglobinopathy detection were 10.4% and 98.6%, respectively. Variable selection strategies yielded a two-variable model including mean corpuscular volume (MCV) and red blood cell (RBC) count (AIC = 99.83, AUCROC = 0.98 (95% CI: 0.97, 0.99)) for the prediction of a homozygous EE disorder. Sensitivity and specificity values do not justify the use of Sysmex XN-1000 IP flag messages for identification of genetic hemoglobinopathies in Cambodian women. Development of an algorithm based on MCV and RBC biomarkers may optimize the screening ability of automated hematology analyzers.

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Raharjo, Budiono, and Solichul Hadi. "HIGH FLUORESCENT LYMPHOCYTE COUNT EXAMINATION IN DENGUE HEMORRHAGIC PATIENTS WITH SYSMEX XN-1000 HEMATOLOGY ANALYZER." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 25, no. 2 (April 13, 2019): 207. http://dx.doi.org/10.24293/ijcpml.v25i2.1443.

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Sysmex XN-1000 hematology analyzer is an automated 5-part diff analyzer (eosinophils, basophils, neutrophils, lymphocytes, and monocytes). In the calculated area, the type of difference between the Sysmex hematology device and other hematology devices is Immature Granulocyte (IG), Nucleated Red Blood Cell (NRBC), and High Fluorescent Lymphocytes Count (HFLC). The cells calculated in the HFLC area are atypical lymphocytes. In patients with dengue hemorrhagic fever, it is often found atypical lymphocytes called blue plasma lymphocytes. The purpose of this study was to determine the description of HFLC in patients with dengue fever using the hematology analyzer Sysmex XN-1000. A descriptive retrospective study was conducted during April-May 2017. The subjects of the study were adult patients diagnosed with dengue hemorrhagic fever with WHO criteria. Of the 47 samples of Dengue Hemorrhagic Fever (DHF) patients, the average HFLC results were between 2.0-32.3%, which was 11.5%, while the average range of normal HFLC values was between 0.0-1.4% and was 0.3%. In cases of DHF, there is an increase in HFLC. This is likely to be attributed to atypical lymphocyte increase in dengue hemorrhagic fever. Further research with more varied samples still needs to be done.

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Briggs, Carol, Ian Longair, Punamar Kumar, Deepak Singh, and Samuel J. Machin. "Performance evaluation of the Sysmex haematology XN modular system." Journal of Clinical Pathology 65, no. 11 (July 31, 2012): 1024–30. http://dx.doi.org/10.1136/jclinpath-2012-200930.

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BackgroundThe Sysmex XN haematology instrument performs automatic reflex testing, depending on sample results. A nucleated red blood cell (NRBC) count is provided on all samples. The instrument has a smaller footprint (34%) than previous Sysmex XE analysers.MethodsAn evaluation comparing all results to the Sysmex XE-2100 and manual microscopic differential and morphology (n=390) was performed followed by a workflow study of 1000 samples to compare speed of operation and number of blood films reviews required from both systems.ResultsThe new features on the instrument are: (1) white cell and NRBC channel, all samples include the NRBC count; (2) white cell precursor channel: false positive flags for blasts, abnormal lymphocytes and atypical lymphocytes are reduced significantly without a statistical increase of false negatives; (3) low white cell count mode: suggested setting of <0.5×109/l. An extended count is more precise and provides an accurate differential. Fluorescent platelet count is performed in a dedicated channel. If the red cell or platelet size histograms are abnormal or if the platelet count is low, then a fluorescent platelet count is automatically performed. Good correlation with the XE-2100 and manual differential was found and the improved results compared to the reference flow cytometric analysis for platelet counts, especially below 30×109/l (XE-2100, R2=0.500; XN, R2=0.875).ConclusionThe XN showed reduced sample turnaround time of 10% and reduced number of blood films for examination, 49% less than the XE-2100 without loss of sensitivity with more precise and accurate results on low cell counts.

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Favresse, J., M. A. van Dievoet, H. De Wolf, H. Rodriguez-Villalobos, and J. P. Defour. "Characterization of Candida spp. interference on the Sysmex XN-1000 body fluid mode." International Journal of Laboratory Hematology 40, no. 2 (February 6, 2018): e28-e32. http://dx.doi.org/10.1111/ijlh.12780.

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Sale, Silvia, Addolorata Emanuela Carone, Maurizio Fumi, Ylenia Pancione, and Vincenzo Rocco. "Detection of Apoptotic Lymphocytes Through Sysmex XN-1000 As a Diagnostic Marker for Mononucleosis Syndrome." Journal of Clinical Laboratory Analysis 30, no. 5 (April 19, 2016): 779–93. http://dx.doi.org/10.1002/jcla.21938.

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Jain, Rubal, Ujjawal Khurana, Bhavna Dhingra Bhan, Garima Goel, and Neelkamal Kapoor. "Mucopolysaccharidosis: A case report highlighting hematological aspects of the disease." Journal of Laboratory Physicians 11, no. 01 (January 2019): 097–99. http://dx.doi.org/10.4103/jlp.jlp_126_18.

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AbstractA 1½-year-old female child presented with swelling in thoracolumbar region and delayed developmental milestones. The routine hemogram analysis on Sysmex XN 1000 showed flags of white blood cell (WBC) abnormal scattergram and lymphocytosis. The peripheral smear examination showed Alder–Reilly (AR) granules leading to a suspicion of underlying Mucopolysaccharidosis (MPS). Further clinical workup, radiographic studies, chemical test lead to the confirmatory diagnosis of MPS. A flag of abnormal WBC scattergram and AR anomaly are the hematological findings that can be seen in a case of MPS.

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Xu, Weiyi, Qian Yu, Lixia Xie, Baode Chen, and Ling Zhang. "Evaluation of Sysmex XN-1000 hematology analyzer for cell count and screening of malignant cells of serous cavity effusion." Medicine 96, no. 27 (July 2017): e7433. http://dx.doi.org/10.1097/md.0000000000007433.

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Fleming, Chérina, Henk Russcher, Rob Brouwer, Jan Lindemans, and Robert de Jonge. "Evaluation of Sysmex XN-1000 High-Sensitive Analysis (hsA) Research Mode for Counting and Differentiating Cells in Cerebrospinal Fluid." American Journal of Clinical Pathology 145, no. 3 (February 17, 2016): 299–307. http://dx.doi.org/10.1093/ajcp/aqv093.

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Raya, A. González, R. Coca Zuñiga, M. Cantero Sanchez, G. Callejón Martín, A. Lendinez Ramirez, E. Martín Sálido, and M. L. Hortas Nieto. "Comparison of various blood parameters between the ABL90 flex blood gas analyzer and the SYSMEX XN-1000 hematology analyzer." Clinica Chimica Acta 493 (June 2019): S659—S660. http://dx.doi.org/10.1016/j.cca.2019.03.1390.

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Eliseeva, N. A., L. I. Saveliev, E. A. Philinkova, and S. V. Tsvirenko. "Reference intervals for complete blood count parameters in newborns during first day of life for the analyzer Sysmex XN-1000." Laboratornaya sluzhba 8, no. 3 (2019): 31. http://dx.doi.org/10.17116/labs2019803131.

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Jones, Amanda S., Hitesh Tailor, Ri Liesner, Samuel J. Machin, and Carol J. Briggs. "The value of the white precursor cell channel (WPC) on the Sysmex XN-1000 analyser in a specialist paediatric hospital." Journal of Clinical Pathology 68, no. 2 (November 25, 2014): 161–65. http://dx.doi.org/10.1136/jclinpath-2014-202640.

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Becker, P. H., O. Fenneteau, and L. Da Costa. "Performance evaluation of the Sysmex XN-1000 hematology analyzer in assessment of the white blood cell count differential in pediatric specimens." International Journal of Laboratory Hematology 38, no. 1 (September 26, 2015): 54–63. http://dx.doi.org/10.1111/ijlh.12436.

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Favresse, Julien, Lidvine Boland, Marie Schellen, Caroline Fervaille, Fabien Wuestenberghs, Alessandra Camboni, Bernard Chatelain, François Mullier, Jean‐Philippe Defour, and Hugues Jacqmin. "Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer." International Journal of Laboratory Hematology 42, no. 5 (March 12, 2020): 544–51. http://dx.doi.org/10.1111/ijlh.13187.

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Tabe, Yoko, Hiroyuki Takemura, Konobu Kimura, Aya Konishi, Takashi Horii, Takashi Miida, and Akimichi Ohsaka. "Novel Flowcytometry-Based Approach for Detection of Tumor Cells in Body Fluid Using Automated Hematology Analyzer." Blood 126, no. 23 (December 3, 2015): 5600. http://dx.doi.org/10.1182/blood.v126.23.5600.5600.

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Abstract Introduction: Nucleated cells differential analysis of body fluid (BF) samples is important diagnostic tool for several diseases including cancer metastasis. Detection of tumor cells in BF requires the manual morphological scanning of slides by the cytopathologists, which is time-consuming, labor-intensive and not always reliable because of a relatively low overall sensitivity rates (ranging 40-90%) with the higher false-negative rates for lymphomas and mesotheliomas. This study aimed to develop the scattergram gating analysis for detection of tumor cells in BF using the automated hematology analyzer Sysmex XN-1000 (Sysmex, Kobe, Japan). Methods: We used a total of 220 BF samples (53 cerebrospinal fluids, 73 pleural or ascitic fluids, and 94 peritoneal dialysis effluent) obtained from patients with cytological diagnoses (papanicolaou stain) including negative and positive of tumor cells, and chronic inflammation with an elevated lymphocyte and histiocyte fractions. As a reference method, morphological manual differential (200 cells counts) was performed by two experienced technologists using cytospin slides stained with the May-Grunwald Giemsa. The BF mode of XN-1000 (XN-BF) determines the differential cell counts of BF samples using side scatter and fluorescence intensity in WDF channel after the nuclear DNA/RNA stain by nucleic acid dye. The polymorphonuclear cells, mononuclear cells and high fluorescence cells (HF-BF), corresponding with a high amount of nucleic acids, are differentiated. Mesothelial cells and macrophages are theoretically categorized as HF-BF cells and included in the total nucleated cell count but not in the WBC count. We selected the tumor cells positive (n=18) and chronic inflammation positive samples (n=108) by morphological manual differential, and reviewed their scattergram patterns determined by XN-BF. Then the novel scattergram gating strategy targeting the tumor cells was evaluated. The gating criteria were based on the WDF scatter plots; #1: detect the cells with larger size and higher fluorescence signal in comparison with general leukocytes, which mainly derived from clustered tumor cells, #2: detect the middle sized mononuclear cells with less granules rather than neutrophils and similar fluorescence signal to monocytes, which targeting hematological malignant cells and solid tumor cells. BF samples that meet at least one criterion were interpreted as positive for tumor cells. Results: The malignant BF samples containing tumor cells showed the different scattergram patterns from the benign ones with chronic inflammation; the malignant BF formed the isolated cellular clusters in our gating system, and the inflammatory BF showed the continuous expansion into the HF-BF area. Our scattergram gating analysis achieved an overall sensitivity of 72.2% and specificity of 98.0% in detecting tumor cells positive samples when screening against all samples outcomes. The positive predictive value was 76.5% and the negative predictive value was 97.5%. For the samples with absence of tumor cells and inflammatory observations (n=94), no false positive was detected. Of notes, each of our gating criterion detected the different type of tumor cells. For example, the scattergram gating analysis #1 achieved an overall sensitivity of 72.7% and specificity of 99.0% in detecting adenocarcinoma with the positive predictive value of 80.0% and the negative predictive value of 98.6%. Conclusions: A simple measurement of BF by automated hematology analyzer in which cells are minimally handled has a potential to reduce costs and allow routine cell screening in clinical applications. For the BF malignancy diagnostics, the scattergram gating analysis is promising to (i) augment diagnostic routines without requiring additional sample preparation procedure, (ii) limit operator bias, and (iii) provide a standardized measurement. Disclosures No relevant conflicts of interest to declare.

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Lagerberg, Johan W., and Dirk Korte. "Improved accuracy in counting residual white blood cells in red cell concentrates using new blood bank mode software of SYSMEX XN‐1000 hematology analyzer." Transfusion 60, no. 10 (October 2020): 2456–57. http://dx.doi.org/10.1111/trf.15985.

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Astuti, Dian W., Sony Wibisono, Arifoel Hajat, and Sidarti Soehita. "CORRELATIONS BETWEEN MEAN PLATELET VOLUME AND IMMATURE PLATELET FRACTION TO HEMOGLOBIN A1C IN PATIENTS WITH TYPE 2 DIABETES MELLITUS." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 24, no. 1 (March 29, 2018): 6. http://dx.doi.org/10.24293/ijcpml.v24i1.1148.

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Pasien diabetes melitus tipe 2 berkebahayaan mengalami komplikasi makro dan mikrovaskuler, yang dipengaruhi oleh kendaliglikemik. Reaktivitas trombosit berperan pada timbulnya komplikasi ini, terutama komplikasi kardiovaskuler. Tujuan penelitian iniadalah membandingkan MPV dan IPF di kendali glikemik baik dan buruk dan menentukan adanya kenasaban MPV dan IPF terhadapHbA1c. Penelitian bersifat analitik observasional dengan rancang bangun potong lintang. Sampel darah EDTA dari 43 orang pasienDM tipe 2, dikumpulkan selama Januari-Februari 2016. HbA1c diperiksa dengan Dimension RxL, sedangkan MPV dan IPF diperiksadengan Sysmex XN-1000. Rerata nilai MPV 10,36±0,84 fL, rerata nilai IPF 4,22±2,29%. Uji perbedaan nilai MPV menurut kendaliglikemik didapatkan p=0,494, uji perbedaan IPF didapatkan p=0,462. Uji kenasaban Pearson antara IPF dan MPV didapatkanr=0,877 (p<0,0001), MPV dan HbA1c didapatkan r=0,018 (p=0,907), IPF dan HbA1c didapatkan r=0,128 (p=0,414). Penelitian inimenunjukkan rerata MPV berada dalam rentang normal, sedangkan rerata IPF meningkat, namun tak terdapat perbedaan bermaknanilai MPV dan IPF di kendali glikemik baik dan buruk. MPV dan IPF pada penelitian ini tak bernasab dengan HbA1c.

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Saadalla, Abdulrahman, Jose Jara Aguirre, Amy M. Wockenfus, Brandon R. Kelley, Rebecca L. Swanson, Matthew T. Howard, and Brad S. Karon. "Evaluation of automated synovial fluid total cell count and percent polymorphonuclear leukocytes on a Sysmex XN-1000 analyzer for identifying patients at risk of septic arthritis." Clinica Chimica Acta 510 (November 2020): 416–20. http://dx.doi.org/10.1016/j.cca.2020.07.058.

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Santosa, Qodri, AG Soemantri, Soeharyo Hadisaputro, and Ariawan Soejoenoes. "Iron Status of Newborns and Umbilical Cord Blood Hepcidin Levels in Gender Differences." Jurnal Kedokteran Brawijaya 31, no. 1 (February 29, 2020): 58. http://dx.doi.org/10.21776/ub.jkb.2020.031.01.12.

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<p>Fetal gender might affect the iron status of newborns. Hepcidin has an important role in the process of maternofetal iron transport. This study aims to compare the newborn iron status and the umbilical cord hepcidin levels between male and female gender. A cross-sectional study was conducted with subjects of 84 clinically healthy newborns. Written informed consent and ethical approval were carried out. Newborn iron status observed included (i) hematologic markers (RBC count, Hb, hematocrit, mean corpuscular volume (MCV) and red cell distribution width), and (ii) biochemical markers (serum iron (SI), serum ferritin (SF), soluble transferrin receptor (sTfR) and cord blood hepcidin). Hematologic markers were checked using Sysmex, XN-1000, while Hepcidin and sTfR were using ELISA. Serum iron was checked using IRON Flex®. Statistical analysis was tested with the independent t-test and the Mann-Whitney. All newborns and their mothers were in normal condition. The mean sTfR levels of newborns were significantly higher in the male group than females (38.3±9.06 vs. 34.3±8.16 nmol/L) with p=0.033. High sTfR levels reflect a low iron status. In conclusion, fetal gender differences influence the iron status of newborns, and male newborns have a potentially higher iron deficiency.</p>

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Berhili, A., S. Lamrabet, M. Bensalah, O. Bouayadi, A. Elyagoubi, E. Sebbar, O. Nassiri, B. Mouhoub, I. Elmezgueldi, and R. Seddik. "Enumeration of CD34+ haemopoietic stem cells: comparative study of the performance of the SYSMEX XN-1000 hematology analyzer in a dual-platform approach versus a single-platform approach." Journal of Hematopathology 14, no. 1 (January 8, 2021): 23–29. http://dx.doi.org/10.1007/s12308-020-00430-8.

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Harlianti, Rina, Yuneldi Anwar, and Ratna Akbari Ganie. "NITRIC OXIDE AND ABSOLUTE NEUTROPHIL COUNT CORRELATION WITH OUTCOME IN ACUTE ISCHEMIC STROKE PATIENTS." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 25, no. 3 (April 13, 2019): 328. http://dx.doi.org/10.24293/ijcpml.v25i3.1391.

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Nitric Oxide (NO) has a dual role as neuroprotector and neurotoxic in the pathophysiology of brain ischemia. Patients with acute ischemic stroke often have increased leukocyte count when admitted to hospital. Patients with acute ischemic stroke with high leukocyte count often have poor clinical outcomes. This study aims to determine the correlation of Nitric Oxide (NO) levels and Absolute Neutrophil Count with patients with outcome of acute ischemic stroke patients. The study was a longitudinal prospective study, conducted from June to October 2017, sampling was done three times day 1,3,7. Nitric oxide and absolute neutrophil count were examined. NO examination using Chemwell Analyzer and Absolute neutrophil count using SYSMEX XN-1000. 21 patients participated in the study (14 males (66.67%), 7 females (33.33%), Anova test had no difference in absolute neutrophil counts on day 1,3,7 (p = 0,001) and kruskall test. There was no difference between the levels of Nitric oxide days 1,3,7 (p = 0.716). Spearman's correlation test results there were no relation between absolute neutrophil count and outcomes in acute ischemic stroke (p = 0.001) and no nitric oxide relationship with outcome (p > 0.05). The absolute neutrophil count can be an outcome in acute ischemic stroke patients, so it is recommended that the clinician observes the absolute neutrophil count and can be used as a prognosis in acute ischemic stroke patients and to perform more specific nitric oxide examinations (eNOS, nNOS, iNOS) in ischemic stroke patients

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Ianni, Barbara, Holly McDaniel, Elena Savilo, Christine Wade, Becky Micetic, Scott Johnson, and Richard Gerkin. "Defining Normal Healthy Term Newborn Automated Hematologic Reference Intervals at 24 Hours of Life." Archives of Pathology & Laboratory Medicine 145, no. 1 (April 16, 2020): 66–74. http://dx.doi.org/10.5858/arpa.2019-0444-oa.

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Context.— Automated analyzers have advanced the field of clinical hematology, mandating updated complete blood count (CBC) reference intervals (RIs) to be clinically useful. Contemporary newborn CBC RI publications are mostly retrospective, which some authors have cited as one of their cardinal limitations and recommended future prospective studies. Objective.— To prospectively establish accurate hematologic RIs for normal healthy term newborns at 24 hours of life given the limitations of the current medical literature. Design.— This prospective study was conducted at an academic tertiary care center, and hematology samples were collected from 120 participants deemed to be normal healthy term newborns. Distributions were assessed for normality and tested for outliers. Reference intervals were values between the 2.5th percentile and 97.5th percentile. Results.— The novel RIs obtained for this study population are as follows: absolute immature granulocyte count, 80/μL to 1700/μL; immature granulocyte percentage, 0.6% to 6.1%; reticulocyte hemoglobin equivalent, 31.7 to 38.4 pg; immature reticulocyte fraction, 35.9% to 52.8%; immature platelet count, 4.73 × 103/μL to 19.72 × 103/μL; and immature platelet fraction, 1.7% to 9.8%. Conclusions.— This prospective study has defined hematologic RIs for this newborn population, including new advanced clinical parameters from the Sysmex XN-1000 Automated Hematology Analyzer. These RIs are proposed as the new standard and can serve as a strong foundation for continued research to further explore their value in diagnosing and managing morbidities such as sepsis, anemia, and thrombocytopenia.

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Kurniawan, Roy Bagus, Puspa Wardhani, Heny Arwati, Aryati Aryati, Trieva Verawaty Butarbutar, Christophorus Oetama Adiatmaja, Amarensi Milka Betaubun, and Nur Chamidah. "Association of Parasite Density and Hematological Parameters of Plasmodium vivax- and Plasmodium falciparum-infected Patients Attending Merauke General Hospital, Papua, Indonesia." Open Access Macedonian Journal of Medical Sciences 8, B (October 10, 2020): 825–31. http://dx.doi.org/10.3889/oamjms.2020.4881.

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BACKGROUND: Plasmodium falciparum and Plasmodium vivax are frequent causes of malaria. Although they are blood parasites, their biological characteristics are dissimilar, and their species-related consequences on hematological parameters have not been widely investigated. They might be valuable to distinguish both species infection, notably for an endemic region with limited diagnostic resources. AIM: This study aimed to know the species-specific effect on hematological parameters and its correlation to the parasite density in P. vivax- and P. falciparum-infected patients attending Merauke General Hospital, Papua, Indonesia. MATERIALS AND METHODS: Malaria patients confirmed by blood film microscopy from January 1 to July 31, 2019, were recruited, and their hematological parameters were measured using Sysmex XN-1000 instrument. All obtained data were analyzed statistically. RESULTS: From 100 malaria-positive patients, 87 patients, consisting of 57 P. vivax and 30 P. falciparum patients, met criteria. Anemia and parasite density >50,000 parasites/μL were significantly higher in P. falciparum than P. vivax patients (p < 0.05) though hemoglobin concentration and parasite density were insignificantly different. Interestingly, basophil count was significantly higher in P. falciparum compared to P. vivax patients (p = 0.04). The eosinophil count was significantly higher in P. vivax (p = 0.01) than P. falciparum patients and indicated a significant positive correlation (p = 0.04, r = +0.28) with the parasite density. CONCLUSION: There were significant differences between basophil and eosinophil count between P. vivax and P. falciparum infections. Eosinophil count showed a significant positive correlation with parasite density.

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Saracevic, Andrea, Lora Dukic, and Ana-Maria Simundic. "Haemolysis and lipemia interfere with resistin and myeloperoxidase BioVendor ELISA assays." Biochemia medica 29, no. 2 (April 14, 2019): 315–21. http://dx.doi.org/10.11613/bm.2019.020703.

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Introduction: The aim of our study was to investigate the influence of haemolysis and lipemia on resistin (RES) and myeloperoxidase (MPO) measurement by BioVendor enzyme-linked immunosorbent assays (ELISA). Materials and methods: Blood was taken from healthy volunteers into lithium heparin tubes. Plasma samples were spiked with Lipofundin® emulsion (B. Braun Melsungen AG, Germany) for lipemia interference testing. Haemolysed samples were obtained by drawing aliquots of heparinized blood through a 26 gauge needle. Index of haemolysis (H), lipemia (L) and triglyceride concentration were measured on Abbott Architect c8000. Haemoglobin concentration was measured on Sysmex XN-1000. Concentrations of RES and MPO in all samples were determined with RES and MPO ELISA kits (BioVendor, Czech Republic). All measurements were performed in triplicate. Biases from the native samples were calculated for both analytes and compared with an arbitrary value (e.g. ± 10%). Results: Triglyceride concentration in the investigated samples ranged from 0.57 to 38.23 mmol/L, which corresponds to L index from - 0.01 to 13.77. Haemoglobin concentration in all samples ranged from 0 to 8 g/L which correspond to H index from 0.05 to 8.77. Both MPO and RES showed significant biases at 1 g/L haemoglobin (58.7% and 66.7%, respectively). Also, both MPO and RES showed significant biases at 4.66 mmol/L triglycerides (33.8% and - 12.2%, respectively). Conclusions: Resistin BioVendor assays are affected by haemolysis and lipemia already at low degree of interferent. Haemolysis was found to interfere at 1 g/L haemoglobin for both assays, while lipemia interferes at 4.66 mmol/L of triglycerides.

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Hlapčić, Iva, Anita Somborac-Bačura, Lada Rumora, Tihana Žanić Grubišić, Ivana Rako, Dunja Rogić, Andrea Vukić Dugac, and Sanja Popović-Grle. "Platelet indices in stable chronic obstructive pulmonary disease – association with inflammatory markers, comorbidities and therapy." Biochemia medica 30, no. 1 (February 15, 2020): 60–73. http://dx.doi.org/10.11613/bm.2020.010701.

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Chronic obstructive pulmonary disease (COPD) is a complex inflammatory condition that can affect haemostasis. This study aimed to determine differences in platelet-related parameters between controls and COPD subjects. The hypothesis was that platelet indices are disturbed in COPD patients, and this would be accompanied by increased C-reactive protein (CRP), fibrinogen (Fbg) and white blood cells (WBC). Therefore, platelet count (Plt), platelet-related parameters – mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (Pct), their ratios (MPV/Plt, MPV/Pct, PDW/Plt, PDW/Pct), platelet to lymphocyte ratio (PLR), Plt index as well as CRP, Fbg and WBC were assessed. Materials and methods: Study included 109 patients with stable COPD and 95 control subjects, recruited at Clinical Department for Lung Diseases Jordanovac, University Hospital Centre Zagreb (Zagreb, Croatia). Complete blood count was performed on Sysmex XN-1000, CRP on Cobas c501, and Fbg on BCS XP analyser. Data were analysed with MedCalc statistical software. Results: Platelet (P = 0.007) and PLR (P = 0.006) were increased, while other platelet indices were decreased in COPD patients compared to controls. Combined model that included PLR, PDW and WBC showed great diagnostic performances, and correctly classified 75% of cases with an AUC of 0.845 (0.788 – 0.892), P < 0.001. Comorbidities (cardiovascular or metabolic diseases) had no effect on investigated parameters, while inhaled corticosteroids/long-acting β2-agonists (ICS/LABA) therapy increased MPV and PDW values in COPD patients. Conclusion: Platelet indices were altered in COPD patients and they could be valuable as diagnostic markers of COPD development, especially if combined with already known inflammatory markers.

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Hossain, Md Shahadat, Md Mahbur Rashid Sarker, and Faisal Kabir. "Hereditary Haemoglobin Disorders of Anaemic Patients Attending in a Rural Tertiary Level Hospital." KYAMC Journal 6, no. 1 (June 4, 2017): 545–49. http://dx.doi.org/10.3329/kyamcj.v6i1.32778.

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Background: Regularly patients attending in the hospital with severe illness for medical treatment. A large number of patients came with features of anaemia. Many of them show hereditary haemoglobin disorders.Objective: This study was done to find out the pattern of hereditary haemoglobin disorders of anaemic patients attending in the hospital for medical treatment in a tertiary level rural hospital.Method: This descriptive type of retrospective study was performed with 151 cases of anaemic patients whose whole blood show abnormality in haemolobin on capillary haemoglobin electrophoresis. Haemoglobin as well as haematocrit and red blood cells indices were performed by using fully automated haematology lab automation (Sysmex XN-1000). Then haemoglobin electrophoresis was performed to see haemoglobin disorder by using Capillary-2 Haemoglobin Electrophoresis, Sebia, France.Results: All of the 151 cases of hereditary haemoglobin disorders were categorized into four groups. Of those Haemoglobin-E ß thalassaemia was 64.90%, ß thalassaemia minor was 17.22%, Haemoglobin-E haemoglobinopathies was 11.92% and ß thalassaemia major was 5.96% of cases. Among 151 patients; 106 (70.20%) patients were severely anaemic, 30 (19.87%) patients were moderately anaemic and 15 (9.93%) patients were mildly anaemic. Among 98 patients of haemoglobin-E ß thalassaemia, 87 (88.76%) patients were severely anaemic.Conclusion: All anaemic patients especially who suffers from anaemia for a long period of time should be checked for haemoglobin disorders by routine haematological investigation and peripheral blood film examination. The patients with persistent anaemia and whose blood shows hypochromic microcytic anaemia should be advised for haemoglobin electrophoresis.KYAMC Journal Vol. 6, No.-1, Jul 2015, Page 545-549

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Janani K, Muthuvel E, and Sudha Vasudevan. "Variations in platelet indices in hypercholesterolemia patients in a tertiary care hospital." International Journal of Research in Pharmaceutical Sciences 11, SPL2 (August 6, 2020): 302–7. http://dx.doi.org/10.26452/ijrps.v11ispl2.2732.

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Hypercholesterolemia is defined as high levels of cholesterol in the blood. Platelet indices include: Plateletcrit (PCT), Platelet Distribution Width (PDW) and Mean platelet volume (MPV). Hypercholesterolemia is associated with the increased risk of developing cardiovascular diseases like atherosclerosis which in turn results in platelet activation and thrombotic events. This study is aimed to evaluate the variations in platelet indices in adults with hypercholesterolemia which may be significant in indicating cardiovascular diseases. It is a retrospective case-control study which includes 50 patients with a total cholesterol level of more than 170mg/dl as the study group and 50 healthy controls with normal lipid profile parameters. Data were collected from the lipid profile register in the Biochemistry department of Saveetha Medical College for 3 months duration. The fasting blood samples were run in the machine ‘vitros 5600 dry chemistry’. The lipid profile values included in this study were Total cholesterol, HDL and TGL. The platelet indices were collected from the automated haematology analyzer 'Sysmex XN 1000' from the Pathology Department, Saveetha Medical College. The data collected were tabulated and analysed using SPSS software. Statistical tool used is the independent T-test. The mean value of the platelet parameters such as MPV, PCT and PDW in the study group was 10.397061, .3000, and 12.452 respectively and that of the control group was 9.907480, .2882, 11.174 respectively. On comparing the platelet parameters such as MPV, PCT and PDW between the study and the control group it was observed that there was a significant variation in MPV and PDW. In the independent sample test, the p-value of MPV, PCT and PDW were 0.21, 0.481 and 0.008, respectively. Thus MPV and PDW shows a significant variation between the study and the control group as it is higher in hypercholesterolemia patients (p-value is <0.05).

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Cheema, Asma Naseer, Rubya Khanum, and Shireen Hamid. "Impact of Iron deficiency on diagnosis of Beta Thalassemia Trait." Professional Medical Journal 27, no. 04 (April 10, 2020): 849–52. http://dx.doi.org/10.29309/tpmj/2020.27.04.4297.

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Objectives: We aimed to evaluate the effect of low serum ferritin levels on HbA2 values in BTT patients. Study Design: Cross-sectional study. Setting: Pathology department of University Medical & Dental College Faisalabad. Period: August, 2018 to July, 2019. Materials & Methods: One hundred and thirty seven subjects were included in the study after written informed consent. Those with serum ferritin < 10µg/L were taken as iron deficient. Based on serum ferritin levels, we divided our study participants into two groups (Group A Vs Group B). As ferritin is considered an acute-phase protein, 25/137 participants with leukocytosis were excluded from statistical analysis. We measured serum Ferritin on Cobas 6000 e611 and we assessed the red cell parameters on Sysmex (seven part differential XN 1000). Hb variants were analysed through High performance liquid chromatography (HPLC) based technique of BioRad D10. Results: After excluding 25 subjects with high Total leukocyte count (TLC), we are left with 112 subjects. We observed 26 participants in group A with Iron deficiency and 38 in group B with no Iron deficiency. Mean±SD serum ferritin in iron deficient group was 7.25±1.95 as compared to non-iron deficient group (87.63±7.35). Mean HbA2 value in group A was 4.56±0.04 and in group B it was 5.80±1.06 with significant statistical difference of P=0.0188. We also observed significant difference in the mean values of other Red cell indices (MCV, HCT MCHC, MCH) except for RBC count and RDW. Conclusion: This study shows that ID may reduce HbA2 levels. Overall, it does not essentially preclude the identification of BTT. It is recommended that Iron deficiency should be considered before measuring HbA2 levels in BTT.

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Mishra, Shruti, Kishore Kumar, Ashutosh Panigrahi, Prabodh Das, Somanath Padhi, and Gaurav Chhabra. "The Utility of Leucocyte Cell Population Data and Scattergram in Rapid Identification of Acute Promyelocytic Leukemia." Blood 136, Supplement 1 (November 5, 2020): 19–20. http://dx.doi.org/10.1182/blood-2020-142498.

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Introduction: Acute promyelocytic leukemia (APL) is one of the hematological emergencies requiring early detection and treatment. The hematology laboratory plays a pivotal role in management. The correct morphological identification of APL is made even before the confirmation by the cytogenetic or molecular analysis. Automated hematology analyzers are the backbone of the hematology laboratories. Other than providing routine counts and differentials, they are also capable of producing sufficient information in the form of leucocyte cell population data (CPD) scatter plots depicting the leucocyte subpopulation. These data are primarily underutilized, particularly in assessing the lineage of various hematopoietic neoplasm. Here we analyzed the utility of leucocyte CPD and the pattern of scatter plot in Sysmex XN 1000 analyzer for the detection of acute promyelocytic leukemia. Materials and Results: We included 100 controls and 100 AML cases. Leucocyte CPD parameters were compared along with scatter plots from the WDF channel from Sysmex XN1000 analyzer were recorded and analyzed. Immunophenotyping and molecular analysis confirmed the diagnosis in all but two cases, where the patients expired within a few hours of admission in the emergency. Out of a total of 100 cases, 22 were labeled as APL, 63 as AML, and 15 as AML M4/M5. Among the APL cases, in 19 cases, immune-phenotyping was done on peripheral blood, and the remaining three bone marrow aspirate samples were used. The scatter-plot analysis of APL cases showed a characteristic pattern which differentiated this entity from other acute myeloid leukemias. In the case of APL, on Side Fluorescence Light Scatter (SFL) Vs. Side scatter (SSC), the abnormal promyelocytes occupy the space above neutrophils and to monocytes' right, where the immature precursors of myeloid are usually found. In cases where the total leukocyte count was within the normal range, a hiatus between these abnormal promyelocytes and neutrophils are seen. This finding was consistent in all cases irrespective of the morphological variation. On the other hand, other variants of acute myeloid leukemias along with monoblastic leukemias, the scatter plots show the blasts in the monocytic region with extension to the ceiling. On comparison, the myeloblast and monoblasts lie more towards the y-axis than abnormal promyelocytes. All the CPD parameters were compared against the control group and the AML group. The cell population data showed a significant difference in all the parameters representing the side fluorescence, size and granulations except LY-WX (width of dispersion of side scatter) when compared to normal healthy controls. Amidst all the AML cases, APL significantly differed from other cases in NE-SFL, LY-WY, and MO-WZ. AML M4/M5 and APL also varied in LY-Y, NE-WY, NE-WZ, and MO-WY. AMLs excluding AML M4/M5 showed additional variation in MO-Y and MO-Z. Discussion: APL cases have a characteristic scatter plot patter on SFL Vs. SSC. The scatter-plot shows a tear-drop like a collection of cells. These cells have high side scatter and high lateral fluorescence owing to the large size of the cells, apple-core like the nucleus, and dense granulations. The differences in the CPD parameters among APL cases and controls and other acute myeloid leukemia can be attributed to these morphological features of the abnormal promyelocytes. Haider et al. found a significant difference between NE-SFL and other myeloid leukemia. [1] This was in corroboration with our findings. Another research done by Park et al. showed that NE-SFL and MO-WX had the highest sensitivity and specificity in differentiating APL from other AML. [2] Conclusion: We conclude that the new age automated cell counters provide numerous data that remains unexplored and can be utilized further along with the information from the scatter plots to make a rapid diagnosis of Acute Promyelocytic Leukemias. References: Haider R.Z., Ujjan I.U., Shamsi T.S. Cell Population Data - Driven Acute Promyelocytic Leukemia Flagging Through Artificial Neural Network Predictive Modeling. Translational Oncology, 2020;13(1):11-16. Park SH, et al. Cell population data NE-SFL and MO-WX from Sysmex XN-3000 can provide additional information for exclusion of Acute Promyelocytic Leukemia from other Acute Myeloid Leukemias: A Preliminary Study. Ann Lab Med 2016;36:607-610. Figure Disclosures No relevant conflicts of interest to declare.

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Iqbal, Suhail, and Aditi Sharma. "Platelet count and MPV in women with PIH in their third trimester." International Journal of Reproduction, Contraception, Obstetrics and Gynecology 8, no. 1 (December 26, 2018): 44. http://dx.doi.org/10.18203/2320-1770.ijrcog20185179.

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Background: One of the most common and potential life-threatening complications of pregnancy is pregnancy induced hypertension. Though platelet count during pregnancy is within the normal non-pregnant reference values, there is a tendency for the platelet count to fall in late pregnancy. The frequency and intensity of maternal thrombocytopenia varies and is dependent on the intensity and severity of PIH.Methods: This prospective study was conducted in the Department of obstetrics and gynecology in Jhalawar medical college from January 2018 to April 2018.Total 120 pregnant women during third trimester (32-40 weeks) aged 18 to 35 years were selected. Among them 63 were preeclamptic patients and 63 were healthy normotensive control. Subjects and healthy pregnant women (control) visiting the Obstetrics and Gynecology department of Jhalawar Medical College were registered in the study and followed during their pregnancy. Both, subjects and control participants were subject to platelet count manually and MPV was determined by an automated analyser (sysmex XN-1000™) performed using standard methods on.Results: The mean platelet count of the subject group (131.4937±62.05999 lakh/mm3) was significantly lower than that of the control group (324.9683±230.78764 lakh/mm3). This shows that there is thrombocytopenia found in patients with P.I.H in their third trimester. On the other hand, the p value of “mean platelet volume” in patients with preeclampsia was (p<0.0001) which shows that there is no significant difference in MPV of cases (7.1438±2.62 femtolitre) and control (7.8976±3.08 femtolitre) (p>0.142), regular monitoring of platelet counts in women with Pregnancy Induced Hypertension must be subject of the management protocols.Conclusions: In present study we observed that the number of thrombocytopenic subjects was higher in cases of preeclampsia as compared to the control group. These extrapolations indicate that there might be some important mechanism which interferes with platelets life span thus reducing the number of functional platelets in circulation. The platelet count has an association at prediction of increasing grade of PIH. There is an inverse relationship between the severity of PIH and platelet count. The depleted platelet counts are concluded to be consistently associated with clinical groups of severe preeclampsia and the risk of consumptive coagulopathy.

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Semikina, E., A. Potapov, V. Tsvetkova, A. Anoushenko, and S. Akulova. "P068 Erythrocyte and reticulocyte parameters in children with inflammatory bowel diseases." Journal of Crohn's and Colitis 14, Supplement_1 (January 2020): S169—S170. http://dx.doi.org/10.1093/ecco-jcc/jjz203.197.

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Abstract Background Anaemia is a frequent extraintestinal manifestation of inflammatory bowel diseases (IBD) and its severity leads to a deterioration in patient’s condition. Timely diagnosis and pathogenetic therapy are important for the effective treatment. The aim of this study was to evaluate the current cell indexes obtained from automatic blood analyser to identify the pathogenetic features of anaemia in children with IBD. Methods A total of 1400 blood samples were analysed in 420 children with IBD (177—Crohn’s disease (CD) and 243—ulcerative colitis (UC)) followed up in our centre in 2018–2019. A blood test was performed by flow hemocytometry on an automatic blood analyser Sysmex XN 1000. The evaluated parameters were: MCV, MCH, MCHC, RET, IFR and RET-He. Anaemia was established with haemoglobin level <110 g/l. Clinical activity was evaluated according PUCAI (UC) and PCDAI (CD) scores. Results Anaemia was detected in 31.7% of patients with UC and in 26.8% of patients with CD. Decreasing of Hb level was observed in both diseases with an increasing in the clinical activity. The average Hb levels in CD in remission, moderate and severe activity were 132.15 ± 17.07, 120.51 ± 18.28 and 105.06 ± 12.46 g/l, respectively; in children with UC with remission, minimal, moderate and severe activity 124.86 ± 16.01; 114.53 ± 15.56; 109.71 ± 20.34 and 96.09 ± 16.52 g/l, respectively. In patients with CD, anaemia was predominantly hypochromic: the average values of MCV, MCH and RET-He indicates a leading role the bioavailable iron deficiency and corresponded to those in CD remission: 82.8 ± 7.0 fl, 27.35 ± 3.02 pg and 31.28 ± 3.82 pg; in low/moderate CD activity: 78.93 ± 7.49 fl, 25.29 ± 3.51 pg, 28.62 ± 5.1 pg; in high CD activity: 74.7 ± 6.74 fl, 22.99 ± 2.69 pg, 27.14 ± 4.99 pg, respectively. RET count in CD was moderate and equal 58–68 cell/ml. With an increase in the UC process activity, hypochromia was not enhanced: MCV in the range 79–82 fl, MCH—25–26 pg. RET-He in remission of UC were 30.22 ± 3.95 pg; in minimal activity—28.93 ± 4.96 pg; in moderate activity—27.99 ± 4.62 pg and only with high activity of UC there was a decreasement to 25.21 ± 4.99 pg. In UC the level of RET and IFR increases with increasing severity of the disease: 57.75 ± 17.48‰, 63.31 ± 31.12‰, 77.29 ± 41.81‰, 111.29 ± 78,9‰ and IFR 11.62 ± 5.235%, 15.69 ± 8.065%, 18.97 ± 8.385%, 26.97 ± 9.785%, respectively. This suggests that anaemia in UC is mainly associated with blood loss. Conclusion Anaemia in different forms of IBD in children has different pathogenetic mechanisms. Evaluation of current parameters of red blood cells by modern automatic blood count analyser is cheap and informative for the differential diagnosis of anaemic syndrome in children with IBD.

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Frelinger, Andrew L., Rachael F. Grace, Anja J. Gerrits, Sabrina L. Carmichael, Emma E. Forde, and Alan D. Michelson. "The Platelet Phenotype of Children with ITP Is Consistent over Time and Is Associated with Both Concurrent and Subsequent Bleeding Severity." Blood 128, no. 22 (December 2, 2016): 2550. http://dx.doi.org/10.1182/blood.v128.22.2550.2550.

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Abstract Background. Immune thrombocytopenia (ITP) is an autoimmune bleeding disorder that results in thrombocytopenia and the risk of bleeding. Severe bleeding, while uncommon, is partially associated with the degree of thrombocytopenia. However it remains unclear why some thrombocytopenic patients with ITP have significant bleeding while others have minimal or no bleeding manifestations. We hypothesized that differences in platelet function between ITP patients contribute to the variation in bleeding tendency and these differences can be used to identify children at the highest risk for bleeding. We recently reported (Frelinger et al. Blood 2015;126:873-879) that platelet tests related to platelet age (immature platelet fraction [IPF], forward light scatter [FSC]) and activation through the PAR1 thrombin receptor (TRAP-stimulated P-selectin, activated GPIIb-IIIa, and GPIba) are associated with concurrent bleeding severity in ITP, independent of the platelet count. Aims. 1) Determine the association of platelet function tests with subsequent bleeding severity. 2) Determine the consistency of the platelet function phenotype over time. Methods. At two study visits separated by at least 1 month, bleeding severity (graded by the Buchanan and Adix Score) and platelet function tests were evaluated in a single center cross-sectional study of patients ≥6 months of age with a diagnosis of ITP or Evans syndrome. Platelet function was assessed by whole blood flow cytometric analysis of platelet surface P-selectin, activated GPIIb-IIIa (measured by monoclonal antibody PAC1), and GPIbα with and without in vitro agonist (ADP or thrombin receptor activating peptide [TRAP]) stimulation. Complete blood cell counts, including IPF, were obtained in a Sysmex XN-1000. Results. Fifteen patients (9.5 ± 5.2 [mean ± SD] years of age, 4 male) were evaluated with a median interval between visits of 10.1 months (interquartile range 2.3 - 23.9 months). Bleeding severity was lower at Visit 2 compared to Visit 1 (Visit 1: Grade 0, n=4, Grade 1, n=4, Grade 2, n=6, Grade 3, n=1 vs. Visit 2: Grade 0, n=7, Grade 1, n=6, Grade 2, n=1, Grade 3, n=1, p = 0.0107). At Visit 2 mean platelet count was higher and IPF was lower than at Visit 1 (111 vs. 69 x 109 platelets/L, p = 0.06 and 10.7 vs. 14.3% IPF, p = 0.04). Nevertheless, platelet count and IPF at Visit 1 were both strongly correlated with platelet count and IPF, respectively, at Visit 2. At each visit, % P-selectin-positive platelets with 20 µM ADP, % PAC1-positive with 20 µM ADP, and GPIba mean fluorescence with 1.5 and 20 µM TRAP, were associated by univariate analysis with the concurrent bleeding score (Figure). Platelet function in patients with ITP was consistent over time as demonstrated by: a) significant correlations between platelet count, IPF, and circulating or agonist-stimulated platelet surface P-selectin, activated GPIIb-IIIa, and GPIba at Visit 1 vs. Visit 2; b) significant associations between platelet markers at each visit with bleeding scores at each visit; and c) a significant association of platelet markers at Visit 1 with bleeding scores at Visit 2 (Figure). Conclusions. Platelet function tests identify a platelet phenotype in children with ITP that is consistent over time and is associated with bleeding severity at both concurrent and subsequent visits. These results suggest the platelet phenotype contributes to the bleeding risk in children with ITP and supports further evaluation of platelet function testing to help guide patient management. Figure Univariate association of platelet tests with bleeding score at concurrent and subsequent visits. Tests significantly associated with bleeding score in all comparisons are highlighted. Figure. Univariate association of platelet tests with bleeding score at concurrent and subsequent visits. Tests significantly associated with bleeding score in all comparisons are highlighted. Disclosures Frelinger: Sysmex: Research Funding. Grace:Agios Pharmaceuticals: Other: Scientific Advisor, Research Funding. Michelson:Sysmex: Research Funding.

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Wang, Jing, Shengmei Zhao, Zhenguo Su, and Xiangdong Liu. "Analytical comparison between two hematological analyzer systems: Mindray BC‐5180 vs Sysmex XN‐1000." Journal of Clinical Laboratory Analysis 33, no. 8 (June 20, 2019). http://dx.doi.org/10.1002/jcla.22955.

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Ratnasari, Nina, Arifoel Hajat, and S. Ugroseno Yudho Bintoro. "Diagnostic Value of Determination Blast Cell Population Lineage Using WPC Scattergram Hematology Analyzer." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 26, no. 3 (September 30, 2020). http://dx.doi.org/10.24293/ijcpml.v26i3.1585.

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The diagnosis of hematology malignancies requires examination that includes morphology, immunophenotyping, and cytogenetics. Immunophenotyping is the most trusted examination in determining hematology malignancies lineage, but it is only available in large hospitals and the costs are relatively expensive, so the determination of lineage depends on bone marrow aspiration examination. Therefore it is necessary to have an easier and more reliable alternative to assist BMA morphology. White Precursor Cell (WPC) scattergram Sysmex XN-1000 has the capability to differentiate malignancy lineage. The purpose of this study was to determine the diagnostic value of determining lineage generated by WPC scattergram compared to the lineage from BMA examination. BMA blood samples were simultaneously examined by BMA morphology interpretation using microscope and WPC scattergram Sysmex XN-1000 examination. The hematology malignancies lineage resulting from BMA and WPC scattergram examination was then analyzed statistically to determine the suitability, sensitivity, and specificity. The results of determining the lineage of blast cell population based on WPC scattergram resulted in a suitability with a sensitivity of 93.75% and specificity of 94.74% for determining the hematological malignancy of myeloid lineage and 94.74% and 93.75% for lymphoid lineage, with a diagnostic accuracy of 94.91%. Based on this study it can be concluded that the WPC scattergram can determine the lineage of hematological malignancies with a suitability and high diagnostic value of lineage based on BMA morphology.

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Pearson, Lauren N., Robert L. Schmidt, Kenneth Cahoon, and Christopher E. Pelt. "Reliability of Total Nucleated Cell Counts in the Setting of Hip Arthroplasty." Journal of Applied Laboratory Medicine, November 12, 2020. http://dx.doi.org/10.1093/jalm/jfaa183.

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Abstract Background Total nucleated cell (TNC) count and differential are used to classify joint effusions as inflammatory or noninflammatory. Further diagnostic evaluation and management is contingent on this classification. TNC count can be measured by automated analyzers or by manual assessment using a hemocytometer. Studies have raised concerns regarding the accuracy of TNC counts measured by automated instruments, particularly in the setting of joint arthroplasty. The objective of this study was to determine whether metallosis, a complication of total hip arthroplasty in which metal debris accumulates in periprosthetic tissues and synovial fluid, is associated with inaccurate TNC counts in synovial fluid. Methods We compared the accuracy of cell counts measured by the Sysmex XN-1000 and Beckman Coulter Iris iQ200 with the gold standard of manual assessment using a hemocytometer in synovial fluid from patients with suspected metallosis and in fluid obtained from controls from patients with native joints and a history of arthroplasty for other indications. Results TNC counts produced by automated analyzers were associated with increased levels of discordance (relative to manual counts) in patients with metallosis. Metallosis was not associated with increased levels of discordance for RBC counts or WBC differentials. The Sysmex XN flagged all but 1 metallosis sample for manual verification of the results. Conclusions Automated methods are generally reliable for analysis of synovial fluid. TNC counts can be inaccurate in the context of metallosis following total hip arthroplasty. Laboratories should correlate automated cell counts with a microscopic assessment of the specimen, as recommended by instrument manufacturers.

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Fleming, Chérina, Rob Brouwer, Jan Lindemans, and Robert de Jonge. "Validation of the body fluid module on the new Sysmex XN-1000 for counting blood cells in cerebrospinal fluid and other body fluids." Clinical Chemistry and Laboratory Medicine 50, no. 10 (January 1, 2012). http://dx.doi.org/10.1515/cclm-2011-0927.

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Sari, Agri Febria, Rikarni Rikarni, and Deswita Sari. "Analysof Reticulocyte Hemoglobin Equivalent Levels in Patients with Chronic Kidney Disease Stage IV and V." Jurnal Profesi Medika : Jurnal Kedokteran dan Kesehatan 15, no. 1 (June 9, 2021). http://dx.doi.org/10.33533/jpm.v15i1.2718.

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Reticulocyte hemoglobin equivalent (RET-He) represents hemoglobin content in reticulocyte. Reticulocyte hemoglobin equivalent test can be used to asses iron status of chronic kidney disease (CKD). Iron deficiency happens in 40% CKD and could lead to anemia manifestation. Level of RET-He gives real-time assesment of iron availability for hemoglobin production and the level will getting lower when iron storage for erythropoiesis decreasing. Reticulocyte hemoglobin equivalent is more stabil than feritin and transferin saturation in assessing iron status. Aim of this study is to determine RET-He level in patients with CKD stage IV and V. This study is a cross sectional descripstive study. Subjects were 96 CKD stage IV and V patients that met inclusion and exclusion criterias. Subjects conducted blood tests at Central Laboratory Installation Dr. M. Djamil Hospital Padang from July to September 2020. Examination of RET-He level was analyzed by Sysmex XN-1000 flowcytometry fluorescense method. Data was presented in frequency distribution table. The RET-He level below cutoff (<29,2 pg) indicates the need for iron suplementation therapy for CKD stage IV and V patients. Samples with RET-He level below cutoff were 48 (50%) and 48 (50%) were above cutoff.

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Kartikasari, Nathalya Dwi, Paulus Budiono Notopuro, Widodo Widodo, and Yetti Hernaningsih. "Hemoglobin, Hematocrit, Leukocyte, and Platelet Changes Due To Ultrafiltrationhemodialysis in Chronic Kidney Disease Patients." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 26, no. 3 (September 30, 2020). http://dx.doi.org/10.24293/ijcpml.v26i3.1565.

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Managing anemia in Chronic Kidney Disease (CKD) patients with hemodialysis (HD) is a challenge to physicians. The present consensus does not address the proper time of blood sampling in HD patients, but higher ultrafiltration (UF) volume (a process of removing fluid excess during HD) may alter hematologic parameters. The objective of this study was to compare some parameters of the Complete Blood Count (CBC); hemoglobin (Hb), hematocrit (Hct), leukocyte (WBC), and platelet counts (Plt) before and after HD. This method was a cross-sectional study performed in the HD Unit, Dr.Soetomo Hospital, including 51 CKD patients selected consecutively, divided into two groups based on the UF volume (2 L and >2 L). Complete blood count pre- and post-HD were measured using Sysmex XN 1000. The results were 25 males and 26 females in this study, age ranged from 20 to 74-year-old, and 36 patients with UF volume >2 L. Only HD with UF >2 L showed significant increases for Hb (9.35g/dL to 10.00 g/dL), Hct (29.80% to 31.15 %), and Plt (209.00x103/µL to 213.00x103/µL) but WBC did not change significantly. These changes were believed to be caused by ultrafiltration. The conclusion was Hb, Hct, and Plt increased significantly with UF ≥2 L in HD CKD patients.

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Kouassi, Kafui Codjo, Micheline A. H. N. Tettekpoe, Gnatoulma Katawa, Agboka Hounogbe, and Damintoti S. Karou. "Depistage De L’anemie En Urgence Au Chu Campus : Validation Du Degre De Concordance Entre Les Resultats De L’hemocue® Hb 301 Et Ceux Du Sysmex Xn-1000®." European Scientific Journal ESJ 16, no. 33 (November 30, 2020). http://dx.doi.org/10.19044/esj.2020.v16n33p355.

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Berhili, A., S. Lamrabet, M. Bensalah, O. Bouayadi, A. Elyagoubi, E. Sebbar, O. Nassiri, B. Mouhoub, I. Elmezgueldi, and R. Seddik. "Enumeration of CD34+ haemopoietic stem cells: comparative study of the performance of the SYSMEX XN-1000 hematology analyzer in a dual-platform approach versus a single-platform approach." Journal of Hematopathology, January 8, 2021. http://dx.doi.org/10.1007/s12308-020-00430-8.

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Jarc, Eva, Irena Preložnik Zupan, Jadranka Buturović Ponikvar, Nada Snoj, and Helena Podgornik. "Primerjava eritrocitnih in retikulocitnih parametrov pri ugotavljanju pomanjkanja železa." Slovenian Medical Journal 86, no. 1-2 (March 1, 2017). http://dx.doi.org/10.6016/zdravvestn.2403.

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Background: Te increased prevalence of iron defciency anemia represents a global public health issue which can be reduced by early diagnosis of pre-iron defcient states. Clinical utility of biochemical indices for iron defciency diagnosis is limited due to the inﬂuence of inﬂammation. Erythrocyte and reticulocyte indices, reticulocyte hemoglobin content, and percentage of hypochromic red cells have been extensively used in diagnosing diﬀerent iron-defcient conditions. Te aim of our study was to compare the utility of erythrocyte and reticulocyte indices provided by diﬀerent hematology analyzers for the diagnosis of iron defciency.Methods: 186 people, 25 patients with iron defciency anemia, 103 patients with chronic kidney disease, and 58 healthy donors were included in our study. Teir whole blood samples were analyzed using two diﬀerent automated analyzers, XN-1000, Sysmex and Advia 120, Siemens Bayer Diagnostics, to compare reticulocyte and erythrocyte indices.Results: Linear correlation between indices for hemoglobin reticulocyte content (Ret-He and CHr) has been confrmed while correlation between both erythrocyte indices (Hypo-He and %HYPO) can be described by 2nd degree polynomial. Cut-oﬀ value for the diagnosis of iron defciency for Ret-He was established at < 28.2 pg and for Hypo-He at > 1.6 % and showed high diagnostic sensitivity (RetHe = 76 %; Hypo-He = 72 %) and specifcity (100 %).Conclusions: Reticulocyte indices Ret-He and CHr are directly comparable and can be used for latent iron defciency evaluation. Although erythrocyte indices Hypo-He and %HYPO are not exchangeable, both can be used for long-term iron defciency evaluation. Additionally, we determined reference intervals for Hypo-He and Ret-He.

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Lim, Erfina, and Jusak Nugraha. "CORRELATION OF SERUM CYTOKINE INTERLEUKIN-6, TNF- α PROCALCITONIN AND LEUKOCYTE COUNT IN PATIENTS WITH SUSPECTED SEPSIS." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 26, no. 2 (November 22, 2019). http://dx.doi.org/10.24293/ijcpml.v26i2.1463.

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Introduction. Sepsis is a cause of non-cardiac death in the hospital. Early and rapid diagnosis of sepsis patients is a challenge to increase the expectancy of life. IL-6 and TNF-α are groups of proinflammatory cytokines that initiate an initial inflammatory response. Procalcitonin is a specific marker of bacterial infection. This study aimed to analyze the correlation of serum cytokine IL-6, TNF-α, procalcitonin and leukocyte count in suspected sepsis patients.Methods. This was a cross-sectional observational study. The study subjects consisted of 45 patients with suspected sepsis who were examined for procalcitonin level > 0.5 ng/mL. Procalcitonin examination by ELFA (VIDAS) , IL-6 and TNF- α used U-CyTech Human Elisa kit (Bioscience, INC) and leukocyte counts with SYSMEX-XN 1000.Results. The levels of IL-6 ranged 0 pg/mL – 73.29 ng/mL (mean 29.43 ng/mL). The values for TNF- α were 0 pg/mL – 390.5 pg/mL (mean 27.62 pg/mL). The mean value of leukocytes was 20,139/ μL. There was no correlation between leukocyte counts with IL-6 ( p = 0.798 and r = 0.040), TNF- α (p = 0.304 and r = -0.160), Procalcitonin ( p = 0.323 and r = 0.154). There was no correlation between IL-6 levels with TNF-α levels (p = 0.871 and r = -0.025), procalcitonin levels ( p = 0.466 and r = 0.112). There was a weak negative correlation between TNF- α level and procalcitonin levels ( p=0.006 and r = -0.403)Conclusion. There was a weak negative correlation between the level of procalcitonin with TNF- α in suspected sepsis patients.

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Indriastuti, Endah, Yetti Hernaningsih, Yulia Nadar Indrasari, and Andrianto Andrianto. "Immature Platelet Fraction as A Potential Marker To Differentiate Types of Acute Coronary Syndrome." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 27, no. 1 (December 7, 2020). http://dx.doi.org/10.24293/ijcpml.v27i1.1609.

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Acute Coronary Syndrome (ACS) includes ST-Elevation Myocardial Infarction (STEMI), non-ST Elevation MyocardialInfarction (NSTEMI), and Unstable Angina (UA). Platelet plays an essential role in ACS pathogenesis. Immature PlateletFraction (IPF) and platelet indices can predict platelet activations. Platelet indices consist of platelet count, Mean PlateletVolume (MPV), Platelet Distribution Width (PDW), plateletcrit (Pct). This study aimed to analyze the differences of IPF andplatelet indices among ACS patients. This study was an observational analytical cross-sectional study conducted inDr. Soetomo Hospital during May-September 2019. The subjects consisted of 30-STEMI, 25-NSTEMI, and 24-UA patients.The EDTA-samples were measured for platelet indices and IPF using Sysmex XN-1000. The differences between IPF andplatelet indices among STEMI, NSTEMI, and UA patients were analyzed using Kruskal-Wallis and Mann-Whitney test. The IPFvalues were significantly higher in STEMI patients than NSTEMI and UA patients. The IPF values of NSTEMI patients werehigher than UA patients. The MPV, PDW, and P-LCR were significantly higher in STEMI and NSTEMI compared to UA. TheMPV, PDW, and P-LCR values of NSTEMI patients were significantly higher than UA patients. The significant differencesbetween STEMI and NSTEMI toward UA might be caused by the more severe thrombotic conditions in myocardial infarctionpatients than UA. The IPF values were significantly different among each type of ACS patients gave an opportunity using thisparameter to differentiate the ACS types. The MPV, PDW, and P-LCR were significantly higher in myocardial infarctionpatients than UA patients, which also allowed them to use those parameters to differentiate both conditions.

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Abeysuriya, Visula, Suranjith L. Seneviratne, Primesh de Mel, Choong Shi Hui Clarice, Chandima de Mel, Lal Chandrasena, Christina Yip, Eng-Soo Yap, and Sanjay de Mel. "The immature platelet fraction, a predictive tool for early recovery from dengue-related thrombocytopenia: a prospective study." Transactions of The Royal Society of Tropical Medicine and Hygiene, September 9, 2021. http://dx.doi.org/10.1093/trstmh/trab135.

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Abstract Background There is a paucity of predictive factors for early recovery from thrombocytopenia related to dengue. The immature platelet fraction (IPF%) is reflective of megakaryopoiesis and may correlate with recovery from dengue-related thrombocytopenia. Our objective was to assess the predictive value of IPF% on days 2 and 3 of illness for recovery from dengue-related thrombocytopenia. Methods A prospective study was conducted among patients with dengue admitted to our institution (Nawaloka Hospital PLC) from December 2019 to October 2020. Dengue was diagnosed based on positive non-structural antigen 1 or IgM. IPF% data were extracted from the Sysmex-XN-1000 automated hematology analyzer. Clinical data were obtained from electronic medical records. Statistical analyses were performed using SPSS version 20. Results We included 240 patients. An IPF% on day 2 of illness of >7.15% had a sensitivity of 80.0% and specificity of 70.4% for prediction of platelet recovery (defined as platelet count ≥60×109/L) on day 7 of illness. An IPF% of >7.25% on day 3 of illness had a sensitivity of 88.9% and specificity of 47.1% for predicting platelet recovery >60×109/L on day 8 of illness. The IPF% was significantly lower in patients with severe dengue. Platelet recovery was observed within 48 h after the peak IPF% was reached, regardless of severity. Conclusion We propose that IPF% values on days 2 and 3 of illness are a promising predictive tool for early recovery from dengue-related thrombocytopenia.

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Hlapčić, Iva, Andrea Vukić Dugac, Sanja Popović-Grle, Ivona Markelić, Ivana Rako, Dunja Rogić, and Lada Rumora. "Influence of disease severity, smoking status and therapy regimes on leukocyte subsets and their ratios in stable chronic obstructive pulmonary disease." Archives of Medical Science, November 15, 2020. http://dx.doi.org/10.5114/aoms.2020.100720.

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IntroductionBlood cells are involved in systemic inflammation in chronic obstructive pulmonary disease (COPD). We aimed to assess differences in leukocyte subsets and their ratios between COPD patients and healthy individuals as well as their association with disease severity, smoking status and therapy in COPD.Material and methodsOne hundred and nine patients in the stable phase of COPD and 95 controls participated in the study. After blood sampling, white blood cells (WBC), neutrophils (NEUTRO), monocytes (MO), lymphocytes (LY) and basophils (BA) were determined on a Sysmex XN-1000 analyser, and ratios were calculated afterwards.ResultsWhite blood cells, NEUTRO, MO and BA were higher in COPD patients than in controls. Also, COPD patients had increased neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), monocyte to lymphocyte ratio (MLR), basophil to lymphocyte ratio (BLR), basophil to monocyte ratio (BMR) and monocyte/granulocyte to lymphocyte ratio (M/GLR). Smoking has an impact on leukocyte counts, with BA, BLR and BMR being higher in COPD smokers vs. ex-smokers. Patients with very severe COPD were distinguished from moderate COPD by NLR, dNLR and M/GLR. In addition, those parameters were associated with lung function and dyspnoea, and NLR and dNLR also with multicomponent COPD indices BODCAT and DOSE. Great potential of dNLR, NLR and M/GLR in identifying COPD patients was observed regarding their odds ratios (OR) of 5.07, 2.86, 2.60, respectively (p < 0.001). Common COPD therapy did not affect any of the parameters investigated.ConclusionsLeukocyte subsets and their ratios could be implemented in COPD assessment, especially in evaluating disease severity and prediction.

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Journal articles on the topic 'Sysmex XN-1000'

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