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Journal articles on the topic 'Hematology'

To see the other types of publications on this topic, follow the link: Hematology.

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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1

Clark, Sherrie G., and Natalie Coffer. "Normal Hematology and Hematologic Disorders in Potbellied Pigs." Veterinary Clinics of North America: Exotic Animal Practice 11, no. 3 (September 2008): 569–82. http://dx.doi.org/10.1016/j.cvex.2008.03.003.

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2

May, Jori E., Patrick C. Irelan, Kailee Boedeker, Emily Cahill, Steven Fein, David A. Garcia, Lisa K. Hicks, et al. "Systems-based hematology: highlighting successes and next steps." Blood Advances 4, no. 18 (September 22, 2020): 4574–83. http://dx.doi.org/10.1182/bloodadvances.2020002947.

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Abstract Systems-based hematology is dedicated to improving care delivery for patients with blood disorders. First defined by the American Society of Hematology in 2015, the idea of a systems-based hematologist arose from evolving pressures in the health care system and increasing recognition of opportunities to optimize the quality and cost effectiveness of hematologic care. In this review, we begin with a proposed framework to formalize the discussion of the range of initiatives within systems-based hematology. Classification by 2 criteria, project scope and method of intervention, facilitates comparison between initiatives and supports dialogue for future efforts. Next, we present published examples of successful systems-based initiatives in the field of hematology, including efforts to improve stewardship in the diagnosis and management of complex hematologic disorders (eg, heparin-induced thrombocytopenia and thrombophilias), the development of programs to promote appropriate use of hematologic therapies (eg, blood products, inferior vena cava filters, and anticoagulation), changes in care delivery infrastructure to improve access to hematologic expertise (eg, electronic consultation and disorder-specific care pathways), and others. The range of projects illustrates the broad potential for interventions and highlights different metrics used to quantify improvements in care delivery. We conclude with a discussion about future directions for the field of systems-based hematology, including extension to malignant disorders and the need to define, expand, and support career pathways.

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Tahmasebi, Houman, Victoria Higgins, Mary Kathryn Bohn, Alexandra Hall, and Khosrow Adeli. "CALIPER Hematology Reference Standards (I)." American Journal of Clinical Pathology 154, no. 3 (June 20, 2020): 330–41. http://dx.doi.org/10.1093/ajcp/aqaa059.

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Abstract Objectives Accurate hematologic test interpretation based on normative reference standards is critical to ensure appropriate clinical decision making. However, healthy pediatric reference data for most hematology parameters are lacking. To address this gap, this study establishes age- and sex-specific hematologic reference standards in the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort of healthy children and adolescents. Methods Fresh whole blood samples collected from a total of 566 healthy children and adolescents (birth to <21 years) with informed consent were analyzed for 47 hematologic parameters on the Beckman Coulter DxH 900. Age- and sex-specific reference standards were calculated based on the Clinical and Laboratory Standards Institute guidelines. Results Reference value distributions for most hematology parameters demonstrated dynamic changes across the pediatric age range with significant age-specific differences observed for 39 of the 47 parameters examined. Sex-specific differences were also observed for eight hematologic parameters, primarily during and after puberty. Conclusions This study establishes a robust database of pediatric reference standards for 47 hematologic parameters in the CALIPER cohort for the first time. These comprehensive reference value data sets report potentially important and physiologically relevant trends in hematologic markers, clearly demonstrating the need for pediatric reference standards for hematologic test interpretation.

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Prabhat, Daksha, Tejaswini Waghmare, and Tasneem Rangwala. "Utility of Hematology Histograms." Annals of Pathology and Laboratory Medicine 6, no. 5 (May 24, 2019): A309–319. http://dx.doi.org/10.21276/apalm.2527.

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5

Francis, J. L. "Hematology." Blood Coagulation & Fibrinolysis 2, no. 4 (August 1991): 575. http://dx.doi.org/10.1097/00001721-199108000-00011.

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6

&NA;. "Hematology." American Journal of Clinical Oncology 16, no. 2 (April 1993): 184. http://dx.doi.org/10.1097/00000421-199304000-00027.

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7

Beirne, O. Ross. "Hematology." Journal of Oral and Maxillofacial Surgery 66, no. 8 (August 2008): 3. http://dx.doi.org/10.1016/j.joms.2008.05.016.

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8

MESSICK, J. "Hematology." Veterinary Clinics of North America: Small Animal Practice 33, no. 6 (November 2003): xiii. http://dx.doi.org/10.1016/s0195-5616(03)00124-4.

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Manspeizer, Heather E. "Hematology." Journal of Cardiothoracic and Vascular Anesthesia 15, no. 2 (April 2001): 269. http://dx.doi.org/10.1016/s1053-0770(01)70009-2.

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10

Messick, Joanne B. "Hematology." Veterinary Clinics of North America: Small Animal Practice 42, no. 1 (January 2012): xi—xii. http://dx.doi.org/10.1016/j.cvsm.2011.11.002.

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11

&NA;. "Hematology." Pathology 22 (1990): 14–17. http://dx.doi.org/10.3109/00313029009060105.

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&NA;. "Hematology." Pathology 23 (1991): 10. http://dx.doi.org/10.3109/00313029109060094.

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13

&NA;. "Hematology." Pathology 25, Suppl 1 (1993): 11–12. http://dx.doi.org/10.3109/00313029309107645.

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14

Babior, Bernard. "Hematology." Current Opinion in Hematology 10, no. 4 (July 2003): 257. http://dx.doi.org/10.1097/00062752-200307000-00001.

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15

Miller, Kenneth B. "Hematology." JAMA: The Journal of the American Medical Association 270, no. 2 (July 14, 1993): 216. http://dx.doi.org/10.1001/jama.1993.03510020084026.

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16

Furie, B. "Hematology." JAMA: The Journal of the American Medical Association 265, no. 23 (June 19, 1991): 3128–30. http://dx.doi.org/10.1001/jama.265.23.3128.

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17

Lusher, J. M. "Hematology." JAMA: The Journal of the American Medical Association 275, no. 23 (June 19, 1996): 1814–15. http://dx.doi.org/10.1001/jama.275.23.1814.

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18

Lusher, Jeanne M. "Hematology." JAMA: The Journal of the American Medical Association 275, no. 23 (June 19, 1996): 1814. http://dx.doi.org/10.1001/jama.1996.03530470042025.

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19

Baron, Joseph M. "Hematology." JAMA: The Journal of the American Medical Association 267, no. 10 (March 11, 1992): 1399. http://dx.doi.org/10.1001/jama.1992.03480100109042.

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20

Roth, Gerald J. "Hematology." JAMA 294, no. 4 (July 27, 2005): 495. http://dx.doi.org/10.1001/jama.294.4.495.

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Miller, K. B. "Hematology." JAMA: The Journal of the American Medical Association 270, no. 2 (July 14, 1993): 216–17. http://dx.doi.org/10.1001/jama.270.2.216.

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22

Furie, Bruce. "Hematology." JAMA: The Journal of the American Medical Association 265, no. 23 (June 19, 1991): 3128. http://dx.doi.org/10.1001/jama.1991.03460230078019.

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23

Baron, Joseph M. "Hematology." JAMA: The Journal of the American Medical Association 255, no. 18 (May 9, 1986): 2501. http://dx.doi.org/10.1001/jama.1986.03370180127052.

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24

Beutler, Ernest. "Hematology." JAMA: The Journal of the American Medical Association 258, no. 16 (October 23, 1987): 2250. http://dx.doi.org/10.1001/jama.1987.03400160104024.

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25

Syahniar, Rike, Khayrul Fikri, Matahari Arumdini, and Rayhana Rayhana. "PROFIL HEMATOLOGI PASIEN ANAK DENGAN TIFOID SERTA KORELASINYA TERHADAP LAMA RAWAT INAP." Media Kesehatan Politeknik Kesehatan Makassar 15, no. 1 (June 29, 2020): 98. http://dx.doi.org/10.32382/medkes.v15i1.1210.

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ABSTRACTLeukopenia, thrombocytopenia and anemia are haematological abnormalities that are usually found in typhoid fever patients. This study aims to determine the relationship between platelet counts, leukocyte counts, hematocrit values and haemoglobin in pediatric typhoid patients. This research is a descriptive and analytic study using the parameters of hematology and length of stay in children at the Jakarta Cempaka Putih Islamic Hospital. The data used are secondary data in the form of medical records of patients from January to June 2018 who were diagnosed with typhoid fever. Data analysis using the Kolmogorov Smirnov and Chi-square test. The average age and length of stay of the patients were 9 years and 4.6 days. Bivariate analysis showed no relationship between length of stay with platelet count (p = 1.000), leukocytes (p = 0.969), hematocrit value (p = 1.000) and haemoglobin (p=0.549). There was no significant relationship between overall hematological parameters and length of hospital stay.Keywords: Length of stay, parameters of hematology, typhoid fever. AbstrakLeukopenia, trombositopenia dan anemia merupakan kelainan hematologis yang biasanya ditemukan pada pasien demam tifoid. Penelitian ini bertujuan untuk mengetahui hubungan antara jumlah trombosit, jumlah leukosit, nilai hematokit dan hemoglobin pada pasien tifoid anak. Penelitian ini merupakan deskriptif dan analitik menggunakan variabel parameter hematologi dan lama rawat pada anak di Rumah Sakit Islam Jakarta Cempaka Putih. Data yang digunakan yaitu data sekunder berupa rekam medik pasien periode Januari – Juni 2018 yang di diagnosis demam tifoid. Analisis data menggunakan uji Kolmogorov Smirnov dan Chi-square. Rata-rata usia dan lama rawat inap pasien yaitu 9 tahun dan 4,6 hari. Analisis bivariat menunjukkan tidak terdapat hubungan antara lama rawat dengan jumlah trombosit (p=1.000), leukosit (p=0.969),nilai hematokrit (p=1.000) dan hemoglobin (p=0.549). Tidak terdapat hubungan yang bermakna antara keseluruhan parameter hematologi dengan lama rawat inapKata kunci: Demam tifoid, lama rawat, parameter hematologi

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26

Kesuma, Suryanata, Mahdiah Syumarliyanty, and Agus Rudi Hartono. "Evaluasi Analitik Hematology Analyzer Diatron Abacus 3 Pada Parameter Hematologi Rutin Di Laboratorium Hematologi Poltekkes Kemenkes Kalimantan Timur." JOURNAL OF MUHAMMADIYAH MEDICAL LABORATORY TECHNOLOGIST 4, no. 1 (June 19, 2021): 1. http://dx.doi.org/10.30651/jmlt.v4i1.6467.

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Entering the era of globalization, manual tools in clinical laboratories have been replaced by full automatic devices. One of them is the Diatron Abacus Hematology analyzer 3. A relatively new hematology analyzer is required for analytical evaluation. Analytical evaluation is an evaluation of Diatron Abacus 3 on Sysmex KX 21 as a standard in RSUD I.A Moeis Samarinda, and it is very important to do this to assess the performance of the tool. Analytical evaluation is done by determining the value of accuracy, precision, and total error and linearity of measurement results from routine hematological examination parameters, which are erythrocytes, leukocytes, platelets, hemoglobin, and hematocrit. To determine the results of the hematology analyzer evaluation of Abacus 3 Diatron Analyzers on Routine Hematology Parameters in the Hematology Laboratory of the Health Ministry of Health, East Kalimantan. This type of research is observational descriptive, using a total sampling technique, and a sample of 40 complete K3EDTA blood specimens. Data processing using Microsoft Excel and SPSS 20 applications, analyzed using descriptive statistics. The observations were still included in the criteria for acceptance, accuracy or inaccuracy (d%) in erythrocytes 1.8%, leukocytes 8.0%, platelets -5.3%, hemoglobin 2.3% and hematocrit -1.7%; Precision or impression (CV%) in erythrocytes 4.2%, leukocytes 11.1%, platelets 6%, hemoglobin 3.9% and hematocrit 4.5%; Total errors in erythrocytes were 8.7%, leukocytes 17.9%, platelets 23.6%, hemoglobin 8.8% and hematocrit 9.1; Linearity of the measurement results against the routine hematological cell count values performed using Abacus 3 and Sysmex KX 21 has a positive relationship. Acceptance values are still included in the LOA on all parameters examined and still meet the criteria; the accuracy/bias value is smaller than the true value of the parameter being examined, except for leukocytes, which is greater; the precision on the five parameters is greater than the CV% Abacus 3 insert kit; The total error obtained by the TE value is greater than the TEA in the parameters examined, except for smaller platelets; Linearity of the measurement results against the calculated hematology cell routine values performed using Abacus 3 and Sysmex KX 21 have a positive relationship, meaning an increase in measurement values using Abacus 3 is followed by an increase in measurement values using Sysmex KX 21.

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27

Garnica, Marcia, Marcia Rejane Valetim, Paulo Furtado, Maria Claudia Moreira, Ricardo Bigni, Simone Vinhas, Paulo Cesar Dias, Ilza Fellows, and Wolney Martins. "COVID-19 in hematology: data from a hematologic and transplant unit." Hematology, Transfusion and Cell Therapy 42, no. 4 (October 2020): 293–99. http://dx.doi.org/10.1016/j.htct.2020.08.004.

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28

Özalp Gerçeker, Gülçin, Figen Yardımcı, and Yeşim Aydınok. "Central Line–Associated Bloodstream Infections in Children With Hematologic and Oncologic Diseases: First Prevalence Results From a University Hospital." Journal of Pediatric Oncology Nursing 36, no. 5 (April 26, 2019): 327–36. http://dx.doi.org/10.1177/1043454219844226.

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Central line–associated bloodstream infections (CLABSIs) are still a major cause of morbidity and mortality in pediatric hematology-oncology patients in many countries. This cross-sectional study was a retrospective review of CLABSI in inpatient pediatric hematology-oncology cases with long-term central venous catheter at the Pediatric Hematology Department from January 2013 to June 2014. Characteristics of CLABSI events in pediatric patients with hematologic malignancies and related nonmalignant hematologic conditions are documented. CLABSI developed in 61.8% ( n = 21) of the 34 hospitalized patients included in the study. The CLABSI rate was 7.8 per 1,000 inpatient central venous catheter days. Coagulase-negative staphylococci was the predominant pathogen in 47.6% of the patients with CLABSI. The high rate of CLABSI requires prevention strategies to reduce CLABSI immediately. This study provides guidance in prioritizing strategies for reducing rates of infection.

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29

Hwa, Yi L., Ariela L. Marshall, Jessica L. Shelly, Lisa K. Colborn, Grzegorz S. Nowakowski, and Martha Q. Lacy. "Development of a Hematology-Specific Fellowship Curriculum for Advanced Practice Providers Utilizing a Needs-Based Assessment." Blood 132, Supplement 1 (November 29, 2018): 2236. http://dx.doi.org/10.1182/blood-2018-99-112715.

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Abstract Background: As our healthcare system faces increasing complexity, it is important for all healthcare providers to practice at the full scope of their training. However, there are limited current options for subspecialty training in hematology for advanced practice providers (APPs), a group of health care providers including both nurse practitioners and physician assistants. We are unaware of any existing postgraduate fellowship for APPs focused on education in both malignant and nonmalignant hematologic disorders. We hope that by creation of the first such fellowship, we can better prepare APP graduates with the subspecialty-specific knowledge required to become highly skilled and competent clinicians in hematology. Methods: Using surveyhero.com, we conducted a web-based needs assessment survey which was distributed to 68 APPs currently working in the hematology and blood & marrow transplant (BMT) teams at three Mayo Clinic sites (Rochester, Scottsdale, and Jacksonville). This survey included questions regarding hematology-specific education the respondents had received in their APP schools, as a way to assess participant's perceptions about the readiness to practice in hematology after completion of APP education, and to identify the learning/training needs that are most important for APPs to practice in hematology. Results: Of 68 APPs, 49 (72%; 34 NPs,15 PAs) completed the survey. 57% of respondents were new APP graduates when hired and 35% had no prior work experience in hematology/BMT. All APPs held a Master's or higher degree (doctorate 31%). Thirty-nine (80%) reported <5% of their APP school curriculum was hematology-focused. The majority (92%) felt that the level of subspecialty training they received in APP schools did not adequately prepare them with the full confidence to practice in hematology. Forty-four (90%) APPs believed subspecialty training could help them to become more competent providers for patients with hematologic disorders. Forty-seven (96%) APPs agreed that being confident and knowledgeable in their practice positively impacted their job satisfaction, and most APPs (84%) felt structured hematology training would attract them to stay within the specialty. The educational subjects that APPs identified as most important included variety of malignant and benign hematologic disorders as well as hematopathology, bone marrow transplant, palliative care, transfusion medicine, infectious disease and pharmacology related to hematology practice. The top three effective learning strategies reported by the APP respondents were active learning from direct patient care, cased based teaching, and educational experience during hospital rounds. Conclusions and Discussions: This needs-based assessment educational project revealed to us the significant gaps in subspecialty training of APP education in hematology and confirmed the necessity of this fellowship. The findings of the survey helped us to optimize the fellowship curriculum in order to meet the learning needs of future APP trainees. Development of the subspecialty fellowship program is a step forward in the future training of APPs. We believe our fellowship has the potential to serve as the postgraduate training model for other institutions nationwide. Disclosures Lacy: Celgene: Research Funding.

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30

Carradice, Duncan, and Graham J. Lieschke. "Zebrafish in hematology: sushi or science?" Blood 111, no. 7 (April 1, 2008): 3331–42. http://dx.doi.org/10.1182/blood-2007-10-052761.

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Abstract After a decade of the “modern era” of zebrafish hematology research, what have been their major contributions to hematology and what challenges does the model face? This review argues that, in hematology, zebrafish have demonstrated their suitability, are proving their utility, have supplied timely and novel discoveries, and are poised for further significant contributions. It presents an overview of the anatomy, physiology, and genetics of zebrafish hematopoiesis underpinning their use in hematology research. Whereas reverse genetic techniques enable functional studies of particular genes of interest, forward genetics remains zebrafish's particular strength. Mutants with diverse and interesting hematopoietic defects are emerging from multiple genetic screens. Some mutants model hereditary blood diseases, occasionally leading to disease genes first; others provide insights into developmental hematology. Models of malignant hematologic disorders provide tools for drug-target and pharmaceutics discovery. Numerous transgenic zebrafish with fluorescently marked blood cells enable live-cell imaging of inflammatory responses and host-pathogen interactions previously inaccessible to direct observation in vivo, revealing unexpected aspects of leukocyte behavior. Zebrafish disease models almost uniquely provide a basis for efficient whole animal chemical library screens for new therapeutics. Despite some limitations and challenges, their successes and discovery potential mean that zebrafish are here to stay in hematology research.

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Allen, Cecily, Michael Streiff, Rakhi P. P. Naik, Melissa Knauert, and George Goshua. "Consecutive Inpatient Hematology Consultation Service Utilization across 11 Years in the Medical Intensive Care Unit." Blood 142, Supplement 1 (November 28, 2023): 2323. http://dx.doi.org/10.1182/blood-2023-184891.

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INTRODUCTION The current understanding of hematology consultation service utilization is limited to four studies in the outpatient setting and zero in the inpatient setting. While training programs in non-hematology specialties (i.e., cardiology, infectious diseases, nephrology) invest in dual-trained specialty-intensivists, investments into dual-trained hematologist-intensivists are systematically underdeveloped. Despite the high clinical volume of hematology patients admitted to the Medical Intensive Care Unit (MICU), there is currently no characterization of hematology MICU service needs. We sought to begin to fill this gap by examining the volume of consecutive consultations, time to consultation, consult patient characteristics, type, and number of consult question per patient and consult categories originating in the MICU at the largest hospital in the United States (2023 Becker's Hospital Review). METHODS We conducted a retrospective observational study of consecutive patients 18 years of age or older who had an incident (i.e., de novo) hematology consultation while admitted to the MICU from February 2013 through March 2023 at a single academic center. Inclusion criteria included (1) age of ≥ 18, and (2) initial consultation generated during MICU admission. To ensure only incident hematology consultations originating in the MICU were examined, patients with consultation placed on the medical floor with subsequent transfer to the MICU, and re-consultations in the MICU for the same patient, were excluded. Each consult note was manually reviewed to determine the exact consultation query. Descriptive statistics collected for each patient included (1) baseline demographics, (2) labs from day of consultation, (3) time to consultation, (4) binary hospital discharge status (alive or dead), and (5) number and type of consult queries within each consult. For the latter, number of queries per each consult were also recorded (i.e., anemia and thrombocytopenia would be two independent queries), and each query was further adjudicated as pertaining to either classical or malignant hematology. Descriptive statistics were tabulated using Microsoft Excel and GraphPad 9.4.1. RESULTS Across 11 years of consecutive, incident consultations requested from the MICU, there were a total of 594 hematology consults with 776 total consultation queries. At time of consultation request, the median age of patients was 60 years, 47% were of female sex, and mean time to hematology consultation was 30 hours after initial MICU admission (Table 1). Of the queries, 75% pertained to classical and 25% to malignant hematology. Of the 776 consult queries, the top three overall hematology consultation queries were for thrombocytopenia (n=105), coagulopathy (n = 86), and lymphoproliferative disorders (n=77). The top three classical hematology queries were for thrombocytopenia (n=105), coagulopathy (n=86), and thrombosis (n = 76). The top three malignant hematology queries were for lymphoproliferative disorders (n=77), acute leukemia (n=48), and plasma cell dyscrasias (n=25) (Table 1). CONCLUSIONS To our knowledge, our study is the first to describe the volume of incident inpatient hematology consultations originating from the MICU. We found that classical hematology queries constitute three quarters of consultation volume, yet the existing literature on hematologic critical care focus only on quality improvement metrics for hematologic malignancies in the ICU. The development of quality metrics for classical hematology critical care management and identification of research are needed, particularly in the context of the identified national workforce shortage in classical hematology. Future work to examine intensivists' consultation queries originating from other intensive care units (i.e., surgical, cardiac, and neurological), would allow a data-driven evaluation of the service need for dual-trained hematologist-intensivists in the United States. The volume and complexity of classical hematology consults that arise in the ICU, as demonstrated in this study, in addition to frequent ICU consultations and admission for hematologic malignancies, highlights an area of both research and clinical practice that could support developing dual trained hematologist-intensivist to help protocolize and deliver safe and expedient care for all consult queries.

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Endrianti, Revie, Surya Ridwanna, Sonny Feisyal Rinaldi, and Mohammad Firman Solihat. "VERIFIKASI METODE HEMATOLOGY ANALYZER SYSMEX XN-330 DI LABORATORIUM KLINIK LABORA." Jurnal Kesehatan Siliwangi 4, no. 1 (August 31, 2023): 61–69. http://dx.doi.org/10.34011/jks.v4i1.1491.

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Agar pemeriksaan hematologi memberikan hasil yang cepat dan akurat maka diperlukan alat otomatis yang memiliki tingkat kecepatan dan keakuratan yang cukup tinggi. Pengunaan alat hematology analyzer ini dapat mengurangi kesalahan pada proses pemeriksaan sampel serta memerlukan waktu pemeriksaan yang lebih singkat dibandingkan dengan metode pemeriksaan secara manual. Menurut jurnal Jy Vis & A. Huisman tahun 2016, dikatakan selama proses penerapan hematology analyzer yang baru, laboratorium klinik wajib melakukan proses verifikasi untuk memastikan kinerja analitik yang memenuhi standar. Dalam standar ISO 15189 menyatakan bahwa prosedur pemeriksaan tervalidasi yang digunakan tanpa modifikasi harus dilakukan verifikasi independen oleh laboratorium sebelum digunakan pada pemeriksaan rutin. Tujuan penelitian ini memastikan repeatability, akurasi dan uncertainty untuk pemeriksaan hematologi rutin dengan menggunakan alat hematology analyzer Sysmex XN-330. Jenis penelitian ini menggunakan jenis eksperimen, didapatkan dari pengumpulan data yang diperoleh dari pengukuran bahan kontrol dan kalibrator. Hasil presisi (repeatability) pada penelitian ini mengukur Coeffisient Variation (CV%) dibandingankan dengan Coeffisient Variation (CV%) pabrikan, menunjukan hasil yang dapat diterima dan dapat dikatakan lulus uji. Hasil akurasi pada penelitian ini mengukur bias (d%) dibandingankan dengan bias (d%) pabrikan, menunjukan hasil akurasi yang dapat diterima dan dapat dikatakan lulus uji. Hasil uncertainty gabungan dengan variasi nilai yang dihasilkan dengan symbol ± menunjukkan ketidakpastian yang terkait dengan besaran ukur tertentu dan bukan kesalahannya.

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Banaszak, Lauren G., Matthew James Brunner, Chad Guenther, and Eliot C. Williams. "A Comprehensive Microscopy and Peripheral Blood Smear Curriculum for Hematology Fellows." Blood 142, Supplement 1 (November 28, 2023): 7202. http://dx.doi.org/10.1182/blood-2023-185126.

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Background: Peripheral blood smear (PBS) analysis is an essential skill for the practicing hematologist and allows for the timely diagnosis of a variety of hematologic disorders. In most cases, PBS analysis can be performed faster than advanced laboratory tests, allowing for the prompt treatment of life-threatening diseases, such as acute promyelocytic leukemia and thrombotic microangiopathies. For these reasons, the Accreditation Council for Graduate Medical Education requires that hematology fellows achieve competency in PBS interpretation in order to graduate. However, most hematology training programs lack a structured PBS curriculum and formalized method of skills assessment. Consensus recommendations were recently developed by a multi-institutional focus group as to the ideal structure and components of PBS curricula within hematology training programs (Chase et al., Blood Advances, 2023). Herein, we report our initial experience implementing a longitudinal PBS curriculum for hematology fellows based on these consensus guidelines and demonstrate the effectiveness of this curriculum using a novel assessment tool. Methods: We developed a longitudinal PBS curriculum for hematology fellows at the University of Wisconsin-Madison. The curriculum included an introductory course for first-year fellows on the use of a microscope, slide handling, and PBS review using a hands-on and collaborative approach (Figure 1A). The introductory course included five two-hour sessions spanning the first two months of fellowship. The first three sessions were led by a faculty member and senior fellow and included training on how to use the microscope as well as identification of normal blood cell morphology and blood cell morphologies and hematologic diagnoses deemed high-priority by consensus recommendations using a slide library. For the final two sessions, the fellows were provided with a set of unknowns and asked to work as a group to identify the pathologic findings and underlying diagnosis. The introductory course was supplemented with ongoing experience and education on PBS interpretation through hematology consult, ward, and clinic rotations throughout fellowship under the direction of hematology faculty skilled in PBS analysis. A novel assessment tool was distributed to participants before and after the introductory course in order to assess the effectiveness of the curriculum. The assessment tool was a ten-question image-based questionnaire in which fellows were prompted to identify high-priority morphologies or hematologic diagnoses after being provided with a clinical vignette and associated PBS for review. Results: To date, four hematology fellows have participated in the PBS curriculum. Prior to the introductory course, no participants expressed feeling very or extremely confident in analyzing and interpreting PBS. After the introductory course, 25% of participants expressed feeling very confident in analyzing and interpreting PBS, whereas the remaining 75% felt somewhat confident. 75% of participants strongly agreed that the course improved their ability to use a microscope, and 100% of participants strongly agreed that the course improved their ability to analyze and interpret PBS. Participation in the course led to improved ability of participants to identify high-priority blood cell morphologies and diagnoses as determined by the assessment tool (Figure 1B, 8.25/10 pre-course compared to 9/10 post-course). Conclusions: Our longitudinal PBS curriculum was perceived positively by hematology fellows and led to improved confidence and independence in using a microscope and PBS interpretation. Additionally, participation in the introductory course improved identification of high-priority PBS morphologic abnormalities and hematologic diagnoses. Our curriculum and assessment tool serve as proof of concept that can now be improved upon and potentially adopted on a larger scale to promote competency in PBS interpretation among hematology trainees.

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Brandow, Amanda M. "Neonatal Hematology." Journal of Pediatric Hematology/Oncology 35, no. 8 (November 2013): 631. http://dx.doi.org/10.1097/mph.0000000000000029.

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Speer, Brian L. "Hematology Notes." AAV Today 1, no. 2 (1987): 55. http://dx.doi.org/10.2307/30134361.

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Dondelinger, Robert M. "Hematology Analyzers." Biomedical Instrumentation & Technology 43, no. 4 (July 1, 2009): 300–304. http://dx.doi.org/10.2345/0899-8205-43.4.300.

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Blann, A. D. "Molecular Hematology." British Journal of Biomedical Science 68, no. 1 (January 2011): 52. http://dx.doi.org/10.1080/09674845.2011.11978206.

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James, Stacy H. "Hematology Pharmacology." AACN Advanced Critical Care 20, no. 2 (April 1, 2009): 177–92. http://dx.doi.org/10.4037/15597768-2009-2009.

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Alterations in hemostasis and coagulation are common problems during critical illness. For that reason, it is essential that advanced practice and critical care nurses have an understanding of the medications used to treat these potentially deadly disorders. The antithrombotic drugs, including anticoagulants, antiplatelet agents, and fibrinolytics, are among the most frequently used drug therapies in the United States. These agents prevent and treat the thrombotic diseases, a leading cause of morbidity and mortality. Anticoagulants, the indirect and direct thrombin inhibitors as well as the vitamin K antagonists, are critical in treating venous thrombosis and preventing serious thrombotic complications with atrial fibrillation. The antiplatelet drugs work to decrease platelet aggregation and are especially effective in preventing and managing arterial thrombus. On the other end of the spectrum, the procoagulants are used to help prevent and control blood loss. These agents include human blood stimulators, human factor concentrates, including recombinant activated factor VIIa, and desmopressin.

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van der Kolk, J. H. (Han). "Comparative hematology." Veterinary Quarterly 37, no. 1 (January 1, 2017): 206. http://dx.doi.org/10.1080/01652176.2017.1336871.

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Blomberg, David J. "Laboratorv Hematology." Critical Care Medicine 15, no. 6 (June 1987): 628. http://dx.doi.org/10.1097/00003246-198706000-00035.

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Vidyasagar, Dharmapuri. "Neonatal Hematology." Critical Care Medicine 42, no. 4 (April 2014): e317-e318. http://dx.doi.org/10.1097/ccm.0000000000000237.

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Thomas, Gregory A. "Pediatric Hematology." Journal of Pediatric Hematology/Oncology 22, no. 3 (May 2000): 291. http://dx.doi.org/10.1097/00043426-200005000-00022.

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Diaz-Miron, Jose, Jacob Miller, and Adam M. Vogel. "Neonatal hematology." Seminars in Pediatric Surgery 22, no. 4 (November 2013): 199–204. http://dx.doi.org/10.1053/j.sempedsurg.2013.10.009.

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Bjerrum, Ole Weis. "Clinical Hematology." European Journal of Haematology 79, no. 2 (August 2007): 183–84. http://dx.doi.org/10.1111/j.1600-0609.2007.00898.x.

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Straub, O. C., R. J. Lorenz, L. Chevrier, W. J. C. Donnelly, J. C. FLENSBURG, G. Gentile, M. Mammerickx, L. M. Markson, and A. A. Ressang. "Bovine Hematology." Zentralblatt für Veterinärmedizin Reihe B 25, no. 1 (May 13, 2010): 14–28. http://dx.doi.org/10.1111/j.1439-0450.1978.tb00720.x.

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Saggese, Miguel D. "Introduction: Hematology." Journal of Exotic Pet Medicine 18, no. 2 (April 2009): 86. http://dx.doi.org/10.1053/j.jepm.2009.04.005.

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Kaushansky, Kenneth. "Celebrate hematology." Blood 100, no. 13 (December 15, 2002): 4257–58. http://dx.doi.org/10.1182/blood-2002-09-2984.

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Domellöf, Magnus. "Neonatal hematology." Acta Paediatrica 95, no. 6 (June 1, 2006): 765. http://dx.doi.org/10.1080/08035250600694874.

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Domellöf, Magnus. "Neonatal hematology." Acta Paediatrica 95, no. 6 (January 2, 2007): 765. http://dx.doi.org/10.1111/j.1651-2227.2006.tb02335.x.

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Manno, Catherine S. "Pediatric Hematology." Pediatric Clinics of North America 60, no. 6 (December 2013): xv—xvi. http://dx.doi.org/10.1016/j.pcl.2013.10.002.

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