1
|
Fujimaki K, Hummel K, Magonde I, Dammert K, Hamaguchi Y, Mintzas K, Saker J, Valina O, Otte KM. Performance evaluation of the new Sysmex XR-Series haematology analyser. Pract Lab Med 2024; 39:e00370. [PMID: 38404527 PMCID: PMC10884972 DOI: 10.1016/j.plabm.2024.e00370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 02/06/2024] [Accepted: 02/14/2024] [Indexed: 02/27/2024] Open
Abstract
Background The new XR-Series haematology analyser from Sysmex provides increased throughput and automation, along with a new reagent in WDF channel for optimised WBC differential. Methods An analytical performance study for the XR analyser was conducted to evaluate the WDF channel parameters in comparison to the instrument specifications. Additionally, 7460 samples were measured on XR and XN analysers to compare selected parameters and flags, and 930 randomly selected samples were further evaluated with microscopy. Results All investigated aspects of the analytical performance study for the XR fell within the manufacturer specifications. The correlation coefficients between the two systems for the parameters tested were greater than 0.983 for the main CBC and DIFF parameters, greater than 0.909 for the Extended Inflammation Parameters, and greater than 0.932 for the parameters used in the workflow rulesets of the Extended IPU. Similarly high sensitivities for the detection of abnormal cells were observed for the 'Blasts/Abn Lympho?' flag (XN: 100%, XR: 99.0%) and WPC abnormal flags ('Blasts?' or 'Abn Lympho?') (XN: 97.0%, XR: 96.0%). XN with WPC channel had a 26% reduction of false positive smears compared to XR with 22% reduction, a statistically non-significant difference. Conclusion The XR analyser had very good analytical performance, and highly comparable results to the predecessor XN analyser in all investigated parameters, flags and workflow aspects.
Collapse
|
2
|
Zhang S, He Y, Wu W, Tan H, Xie S, Liu M, Chen W, Sun D. Comparison of the performance of two automatic cell morphology analyzers for peripheral-blood leukocyte morphology analysis: Mindray MC-100i and Sysmex DI-60. Int J Lab Hematol 2023; 45:860-868. [PMID: 37575073 DOI: 10.1111/ijlh.14145] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 07/24/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION To compare the morphological classification ability of peripheral-blood leukocytes of the automatic cell morphology analyzers MC-100i and DI-60. METHODS (1) MC-100i and DI-60 were used to analyze leukocytes in 432 venous blood samples collected from three tertiary hospitals across China. The preclassification results were compared with the results reported by senior morphological experts (postclassification results) to evaluate the accuracy, sensitivity, specificity, and consistency of leukocyte preclassification for both instruments. (2) In 200 of the 432 blood samples, morphological experts conducted manual microscopic examination for various types of leukocytes. The correlation between the MC-100i and DI-60 leukocyte postclassification results and the expert microscopist results were analyzed. RESULTS (1) MC-100i preclassified leukocytes and nucleated red blood cells (RBCs). Compared with the postclassification results, the total leukocyte preclassification accuracy of MC-100i was 97.16%, while that of DI-60 was 87.24%. The sensitivity of MC-100i to abnormal cells (including blasts, promyelocytes, neutrophilic myelocytes, neutrophilic metamyelocytes, reactive lymphocytes, abnormal promyelocytes, plasma cells, abnormal lymphocytes and nucleated RBCs) was 90.24%, which was significantly higher than the 50.72% sensitivity of DI-60. (2) Comparing the postclassification results with manual microscopy, except for reactive lymphocytes and basophils, the MC-100i and DI-60 results had good correlations with various leukocyte types and nucleated RBCs (r > 0.85), and MC-100i was better than DI-60 in the recognition of basophils. CONCLUSION Both MC-100i and DI-60 have good detection ability for five normal types of leukocytes in peripheral blood. MC-100i has significantly better detection sensitivity for abnormal cells in peripheral blood than DI-60.
Collapse
Affiliation(s)
- Shihong Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yongjian He
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wenjing Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hongxia Tan
- Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shuhua Xie
- Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Min Liu
- Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wei Chen
- Department of Laboratory Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dehua Sun
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| |
Collapse
|
3
|
Bachar N, Benbassat D, Brailovsky D, Eshel Y, Glück D, Levner D, Levy S, Pecker S, Yurkovsky E, Zait A, Sever C, Kratz A, Brugnara C. An artificial intelligence-assisted diagnostic platform for rapid near-patient hematology. Am J Hematol 2021; 96:1264-1274. [PMID: 34264525 PMCID: PMC9290600 DOI: 10.1002/ajh.26295] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 07/12/2021] [Indexed: 12/02/2022]
Abstract
Hematology analyzers capable of performing complete blood count (CBC) have lagged in their prevalence at the point‐of‐care. Sight OLO (Sight Diagnostics, Israel) is a novel hematological platform which provides a 19‐parameter, five‐part differential CBC, and is designed to address the limitations in current point‐of‐care hematology analyzers using recent advances in artificial intelligence (AI) and computer vision. Accuracy, repeatability, and flagging capabilities of OLO were compared with the Sysmex XN‐Series System (Sysmex, Japan). Matrix studies compared performance using venous, capillary and direct‐from‐fingerprick blood samples. Regression analysis shows strong concordance between OLO and the Sysmex XN, demonstrating that OLO performs with high accuracy for all CBC parameters. High repeatability and reproducibility were demonstrated for most of the testing parameters. The analytical performance of the OLO hematology analyzer was validated in a multicenter clinical laboratory setting, demonstrating its accuracy and comparability to clinical laboratory‐based hematology analyzers. Furthermore, the study demonstrated the validity of CBC analysis of samples collected directly from fingerpricks.
Collapse
Affiliation(s)
- Neta Bachar
- S.D. Sight Diagnostics LTD Tel Aviv‐Jaffa Israel
| | | | | | - Yochay Eshel
- S.D. Sight Diagnostics LTD Tel Aviv‐Jaffa Israel
| | - Dan Glück
- S.D. Sight Diagnostics LTD Tel Aviv‐Jaffa Israel
| | | | - Sarah Levy
- S.D. Sight Diagnostics LTD Tel Aviv‐Jaffa Israel
| | | | | | - Amir Zait
- S.D. Sight Diagnostics LTD Tel Aviv‐Jaffa Israel
| | - Cordelia Sever
- TriCore Reference Laboratories Albuquerque New Mexico USA
| | - Alexander Kratz
- Department of Pathology and Cell Biology Columbia University College of Physicians and Surgeons New York New York USA
- New York‐Presbyterian Hospital New York New York USA
| | - Carlo Brugnara
- Department of Laboratory Medicine Boston Children's Hospital Boston Massachusetts USA
- Department of Pathology Harvard Medical School Boston Massachusetts USA
| |
Collapse
|
4
|
Evaluation of the New Beckmann Coulter Analyzer DxH 900 Compared to Sysmex XN20: Analytical Performance and Flagging Efficiency. Diagnostics (Basel) 2021; 11:diagnostics11101756. [PMID: 34679454 PMCID: PMC8535162 DOI: 10.3390/diagnostics11101756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 11/17/2022] Open
Abstract
Efficiency and accuracy in automated hematology analyzers are very important for clinical laboratories. The purpose was to evaluate the flags and results reported by the newest Beckman Coulter analyzer DxH 900 compared to the Sysmex XN20 system. Samples were analyzed on the XN20 (Sysmex, Kobe, Japan) and on the Beckman Coulter DxH 900 (Beckman Coulter, Miami, Florida, USA). Slide reviews were performed microscopically. Morphologic criteria were used to identify abnormal cells as recommended by International Consensus Group for Hematology (ICSH): blasts, immature granulocytes (IG%), abnormal lymphocytes (ALs) and plasma cells. Results: there was a strong correlation between the analyzers in almost all clinical parameters tested. Both DxH 900 and XN20 showed an excellent degree of association for the leukocyte differential compared to the reference method (manual microscopy). When it comes to IG%, XN20 showed a positive bias for higher results. Related to platelets, there are no differences between the two methods for PLT count. For mean platelet volume (MPV), DxH 900 provided 100% results of the samples analyzed while XN20 while in the XN20 analyzer, 16% of the results were missing. From our results we came to the conclusion that both analyzers, DxH 900 and XN20 were clinically accurate and efficient. Abnormal Lymphocyte detection highlighted the differences between the two technologies as only minimal agreement was obtained. DxH 900 demonstrated higher sensitivity in detecting IG with good correlation with microscopic review. The DxH 900 for platelet clumps identification provides an excellent flag (PLT Clumps) with the highest sensitivity observed in our evaluation.
Collapse
|
5
|
Hoffmann JJML. Basophil counting in hematology analyzers: time to discontinue? Clin Chem Lab Med 2020; 59:cclm-2020-1528. [PMID: 33554563 DOI: 10.1515/cclm-2020-1528] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 12/02/2020] [Indexed: 02/24/2024]
Abstract
Basophils (basophilic granulocytes) are the least abundant cells in blood. Nowadays, basophils are included in the complete blood count performed by hematology analyzers and therefore reported in practically all patients in whom hematologic investigations are requested. However, hematology analyzers are not reliable enough to report clinically useful results. This is due to a combination of very high analytical imprecision and poor specificity, because the chemical and physical methods used for basophil counting in hematology analyzers are ill-defined and thus basophils are not well recognized by the analyzers. As a result, false basophil counts are quite common. In view of increasing analytical performance demands, hematology laboratories should stop reporting basophil counts produced by hematology analyzers. Suggestions for alternative pathways are presented for those situations where basophils are of clinical relevance.
Collapse
|
6
|
Kulik K, Kwiecień I, Chełstowska B, Rutkowska E, Rzepecki P. Evaluation and comparison of the new Mindray BC-6200 hematology analyzer with ADVIA 2120i. Int J Lab Hematol 2020; 43:395-402. [PMID: 33270987 DOI: 10.1111/ijlh.13418] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/29/2020] [Accepted: 11/09/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND The Mindray BC-6200 is a new automatic hematology analyzer that quantifies the parameters of blood morphology and leukocyte differential in five populations (5-Diff). The aim of the study was to evaluate the BC-6200 and compare it with the Siemens ADVIA 2120i analyzer. MATERIALS AND METHODS The comparison between BC-6200 and ADVIA 2120i analyzers was performed using 390 whole blood samples collected on K3 EDTA. For the BC-6200, the carryover effect, precision, and linearity were evaluated. 138 samples were used to assess the sensitivity and flag ability, suggesting the presence of abnormal cells such as blasts, immature granulocytes, or atypical lymphocytes. Flagging results were compared with microscopic evaluation of blood smears. RESULTS The BC-6200 analyzer showed a high correlation (r ≥ .97) with ADVIA 2120i for most of the compared parameters except RDW (r = .8350), MPV (r = .7634), Mon# (r = .8366), Baso# (r = .9205), and NRBC (r = .3768). The BC-6200 had better correlation with microscopic evaluation for NRBC (r = .8902) compared with ADVIA 2120i (r = .5677). The BC-6200 has shown high efficiency for flagging blasts (80.4%), immature granulocytes (80.5%), and atypical lymphocytes (69.0%). CONCLUSION The new Mindray BC-6200 hematology analyzer provides high measurements precision and good correlation with ADVIA 2120i for most of the morphology and 5-diff parameters.
Collapse
Affiliation(s)
- Katarzyna Kulik
- Laboratory of Hematology and Flow Cytometry, Military Institute of Medicine, Warsaw, Poland
| | - Iwona Kwiecień
- Laboratory of Hematology and Flow Cytometry, Military Institute of Medicine, Warsaw, Poland
| | - Beata Chełstowska
- Collegium Medicum, Medical Department of Cardinal Stefan Wyszyński University (UKSW), Warsaw, Poland
| | - Elżbieta Rutkowska
- Laboratory of Hematology and Flow Cytometry, Military Institute of Medicine, Warsaw, Poland
| | - Piotr Rzepecki
- Department of Internal Diseases and Hematology, Military Institute of Medicine, Warsaw, Poland
| |
Collapse
|
7
|
Koudriavtseva T, Stefanile A, Fiorelli M, Lapucci C, Lorenzano S, Zannino S, Conti L, D'Agosto G, Pimpinelli F, Di Domenico EG, Mandoj C, Giannarelli D, Donzelli S, Blandino G, Salvetti M, Inglese M. Coagulation/Complement Activation and Cerebral Hypoperfusion in Relapsing-Remitting Multiple Sclerosis. Front Immunol 2020; 11:548604. [PMID: 33193314 PMCID: PMC7655134 DOI: 10.3389/fimmu.2020.548604] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 08/25/2020] [Indexed: 01/08/2023] Open
Abstract
Introduction Multiple sclerosis (MS) is a demyelinating disease of the central nervous system with an underlying immune-mediated and inflammatory pathogenesis. Innate immunity, in addition to the adaptive immune system, plays a relevant role in MS pathogenesis. It represents the immediate non-specific defense against infections through the intrinsic effector mechanism “immunothrombosis” linking inflammation and coagulation. Moreover, decreased cerebral blood volume (CBV), cerebral blood flow (CBF), and prolonged mean transit time (MTT) have been widely demonstrated by MRI in MS patients. We hypothesized that coagulation/complement and platelet activation during MS relapse, likely during viral infections, could be related to CBF decrease. Our specific aims are to evaluate whether there are differences in serum/plasma levels of coagulation/complement factors between relapsing-remitting (RR) MS patients (RRMS) in relapse and those in remission and healthy controls as well as to assess whether brain hemodynamic changes detected by MRI occur in relapse compared with remission. This will allow us to correlate coagulation status with perfusion and demographic/clinical features in MS patients. Materials and Methods This is a multi-center, prospective, controlled study. RRMS patients (1° group: 30 patients in relapse; 2° group: 30 patients in remission) and age/sex-matched controls (3° group: 30 subjects) will be enrolled in the study. Patients and controls will be tested for either coagulation/complement (C3, C4, C4a, C9, PT, aPTT, fibrinogen, factor II, VIII, and X, D-dimer, antithrombin, protein C, protein S, von-Willebrand factor), soluble markers of endothelial damage (thrombomodulin, Endothelial Protein C Receptor), antiphospholipid antibodies, lupus anticoagulant, complete blood count, viral serological assays, or microRNA microarray. Patients will undergo dynamic susceptibility contrast-enhanced MRI using a 3.0-T scanner to evaluate CBF, CBV, MTT, lesion number, and volume. Statistical Analysis ANOVA and unpaired t-tests will be used. The level of significance was set at p ≤ 0.05. Discussion Identifying a link between activation of coagulation/complement system and cerebral hypoperfusion could improve the identification of novel molecular and/or imaging biomarkers and targets, leading to the development of new effective therapeutic strategies in MS. Clinical Trial Registration Clinicaltrials.gov, identifier NCT04380220.
Collapse
Affiliation(s)
- Tatiana Koudriavtseva
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Annunziata Stefanile
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Marco Fiorelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Caterina Lapucci
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Svetlana Lorenzano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Silvana Zannino
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Laura Conti
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Giovanna D'Agosto
- Clinical Pathology and Microbiology Unit, IRCC San Gallicano Institute, Rome, Italy
| | - Fulvia Pimpinelli
- Clinical Pathology and Microbiology Unit, IRCC San Gallicano Institute, Rome, Italy
| | | | - Chiara Mandoj
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Diana Giannarelli
- Biostatistics, Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Sara Donzelli
- Oncogenomic and Epigenetic Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Giovanni Blandino
- Oncogenomic and Epigenetic Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Marco Salvetti
- Department of Neuroscience Mental Health and Sensory Organs (NEMOS), Sapienza University, Sant'Andrea Hospital, Rome, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Department of Neurology, Radiology and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| |
Collapse
|
8
|
Sukhacheva E. Comments re article on comparison of performance and abnormal cell flagging of two automated hematology analyzers: Sysmex XN 3000 and Beckman Coulter DxH 800. Int J Lab Hematol 2019; 42:e96-e97. [PMID: 31769170 PMCID: PMC7317592 DOI: 10.1111/ijlh.13132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 10/18/2019] [Accepted: 10/28/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Elena Sukhacheva
- Medical and Scientific Affairs, Beckman Coulter Eurocenter, Nyon, Switzerland
| |
Collapse
|
9
|
Petrone J, Jackups R, Eby CS, Shimer G, Anderson J, Frater JL. Blast flagging of the Sysmex XN‐10 hematology analyzer with supervised cell image analysis: Impact on quality parameters. Int J Lab Hematol 2019; 41:601-606. [DOI: 10.1111/ijlh.13069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/01/2019] [Accepted: 05/15/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Jessica Petrone
- Department of Pathology and Immunology Washington University School of Medicine St. Louis Missouri
| | - Ronald Jackups
- Department of Pathology and Immunology Washington University School of Medicine St. Louis Missouri
| | - Charles S. Eby
- Department of Pathology and Immunology Washington University School of Medicine St. Louis Missouri
| | - Gail Shimer
- Clinical Hematology Laboratory Barnes‐Jewish Hospital St. Louis Missouri
| | - Jeanne Anderson
- Clinical Hematology Laboratory Barnes‐Jewish Hospital St. Louis Missouri
| | - John L. Frater
- Department of Pathology and Immunology Washington University School of Medicine St. Louis Missouri
| |
Collapse
|
10
|
Nudelman MJ, Goel K, Jegatheesan P, Song D, Huang A, Govindaswami B. Haematocrit in <35 weeks preterm infants who received at least 60 seconds of delayed cord clamping: a retrospective observational study. BMJ Paediatr Open 2019; 3:e000531. [PMID: 31646196 PMCID: PMC6782040 DOI: 10.1136/bmjpo-2019-000531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 08/29/2019] [Accepted: 09/01/2019] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To describe haematocrit at birth in preterm infants who received ≥60 s of delayed cord clamping (DCC). DESIGN Retrospective observational study. SETTING A California public hospital with an American Academy of Pediatrics level 4 neonatal intensive care unit, with 3500-4000 deliveries annually. PARTICIPANTS 467 preterm infants born at <35 weeks' gestational age (GA) between January 2013 and December 2018. PRIMARY AND SECONDARY OUTCOME MEASURES Haematocrit reference ranges for 0-4 hours after birth and paired haematocrit differences between 0-4 and 4-24 hours. METHODS Haematocrits were obtained when clinically indicated and collected from arterial, venous and capillary sources. Haematocrits obtained after packed red blood cell transfusions were excluded. We summarised the first available haematocrit between 0 and 4 hours by GA strata. We used mixed-effects linear regression to describe the associations between haematocrit and predictor variables including GA, male sex and hours after an infant's birth. We also compared paired haematocrits at 0-4 and 4-24 hours after birth. RESULTS The median GA of the 467 included infants was 33.3 weeks, birth weight was 1910 g and DCC duration was 60 s. The mean (95% CI) first haematocrit at 0-4 hours was 46.6 (45.0% to 48.1%), 51.2 (49.6% to 52.8%), 50.6 (49.1% to 52.1%), 54.3 (52.8% to 55.8%) and 55.6 (54.6% to 56.6%) for infants 23-29, 30-31, 32, 33 and 34 weeks' GA strata, respectively. The subanalysis of 174 infants with paired haematocrits at 0-4 and 4-24 hours showed that for each additional hour after birth, the mean (95% CI) haematocrit increased by 0.2 (0.1% to 0.3%), 0.2 (0.1% to 0.4%) and 0.1 (0.0% to 0.2%) for infants in 23-29, 30-31 and 32 weeks' GA strata, respectively. The subanalysis showed no change between the paired haematocrits in the 33 and 34 weeks' GA strata. CONCLUSIONS Our study describes haematocrit in preterm infants who received ≥60 s DCC as standard of care. Haematocrit during the first 0-4 hours in our study is higher than the previously described reference ranges prior to DCC becoming routine clinical practice. The paired second haematocrit at 4-24 hours is higher than haematocrit at 0-4 hours.
Collapse
Affiliation(s)
- Matthew Jr Nudelman
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States.,Stanford, School of Medicine, Palo Alto, California, United States.,University of California, San Francisco, San Francisco, California, United States
| | - Keshav Goel
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States
| | - Priya Jegatheesan
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States.,Stanford, School of Medicine, Palo Alto, California, United States
| | - Dongli Song
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States.,Stanford, School of Medicine, Palo Alto, California, United States
| | - Angela Huang
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States
| | - Balaji Govindaswami
- Pediatrics / Newborn Medicine, Santa Clara Valley Medical Center: Hospital and Clinics, San Jose, California, United States.,Stanford, School of Medicine, Palo Alto, California, United States
| |
Collapse
|