Literature DB >> 31005947

Next-generation reference intervals for pediatric hematology.

Jakob Zierk1, Johannes Hirschmann2, Dennis Toddenroth2, Farhad Arzideh3, Rainer Haeckel4, Alexander Bertram5, Holger Cario6, Michael C Frühwald7, Hans-Jürgen Groß8, Arndt Groening5, Stefanie Grützner9, Thomas Gscheidmeier8, Torsten Hoff10, Reinhard Hoffmann11, Rainer Klauke12, Alexander Krebs13, Ralf Lichtinghagen12, Sabine Mühlenbrock-Lenter10, Michael Neumann14, Peter Nöllke15, Charlotte M Niemeyer15, Oliver Razum16, Hans-Georg Ruf11, Udo Steigerwald14, Thomas Streichert17, Antje Torge18, Wolfgang Rascher19, Hans-Ulrich Prokosch2, Manfred Rauh19, Markus Metzler19.   

Abstract

Background Interpreting hematology analytes in children is challenging due to the extensive changes in hematopoiesis that accompany physiological development and lead to pronounced sex- and age-specific dynamics. Continuous percentile charts from birth to adulthood allow accurate consideration of these dynamics. However, the ethical and practical challenges unique to pediatric reference intervals have restricted the creation of such percentile charts, and limitations in current approaches to laboratory test result displays restrict their use when guiding clinical decisions. Methods We employed an improved data-driven approach to create percentile charts from laboratory data collected during patient care in 10 German centers (9,576,910 samples from 358,292 patients, 412,905-1,278,987 samples per analyte). We demonstrate visualization of hematology test results using percentile charts and z-scores (www.pedref.org/hematology) and assess the potential of percentiles and z-scores to support diagnosis of different hematological diseases. Results We created percentile charts for hemoglobin, hematocrit, red cell indices, red cell count, red cell distribution width, white cell count and platelet count in girls and boys from birth to 18 years of age. Comparison of pediatricians evaluating complex clinical scenarios using percentile charts versus conventional/tabular representations shows that percentile charts can enhance physician assessment in selected example cases. Age-specific percentiles and z-scores, compared with absolute test results, improve the identification of children with blood count abnormalities and the discrimination between different hematological diseases. Conclusions The provided reference intervals enable precise assessment of pediatric hematology test results. Representation of test results using percentiles and z-scores facilitates their interpretation and demonstrates the potential of digital approaches to improve clinical decision-making.

Entities:  

Keywords:  hematology; laboratory test result display; pediatric reference intervals

Mesh:

Substances:

Year:  2019        PMID: 31005947     DOI: 10.1515/cclm-2018-1236

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  7 in total

1.  CALIPER Hematology Reference Standards (II).

Authors:  Victoria Higgins; Houman Tahmasebi; Mary Kathryn Bohn; Alexandra Hall; Khosrow Adeli
Journal:  Am J Clin Pathol       Date:  2020-08-05       Impact factor: 2.493

2.  Reference Interval Estimation from Mixed Distributions using Truncation Points and the Kolmogorov-Smirnov Distance (kosmic).

Authors:  Jakob Zierk; Farhad Arzideh; Lorenz A Kapsner; Hans-Ulrich Prokosch; Markus Metzler; Manfred Rauh
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

3.  Influence of Turkish origin on hematology reference intervals in the German population.

Authors:  Franz X Mayr; Alexander Bertram; Holger Cario; Michael C Frühwald; Hans-Jürgen Groß; Arndt Groening; Stefanie Grützner; Thomas Gscheidmeier; Reinhard Hoffmann; Alexander Krebs; Hans-Georg Ruf; Antje Torge; Joachim Woelfle; Oliver Razum; Manfred Rauh; Markus Metzler; Jakob Zierk
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

4.  Diagnosis, Manifestations, Laboratory Investigations, and Prognosis in Pediatric and Adult Cushing's Disease in a Large Center in China.

Authors:  Xueqing Zheng; He Wang; Wentai Zhang; Shanshan Feng; Yifan Liu; Shuo Li; Xinjie Bao; Lin Lu; Huijuan Zhu; Ming Feng; Renzhi Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-19       Impact factor: 5.555

5.  refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data.

Authors:  Christopher M Rank; Jakob Zierk; Tatjana Ammer; André Schützenmeister; Hans-Ulrich Prokosch; Manfred Rauh
Journal:  Sci Rep       Date:  2021-08-06       Impact factor: 4.379

6.  Haemoglobin and red blood cell reference intervals during infancy.

Authors:  Sara Marie Larsson; Lena Hellström-Westas; Andreas Hillarp; Pia Karlsland Åkeson; Magnus Domellöf; Ulrica Askelöf; Cecilia Götherström; Ola Andersson
Journal:  Arch Dis Child       Date:  2021-10-21       Impact factor: 3.791

7.  Acute kidney injury in children hospitalized for community acquired pneumonia.

Authors:  Pierluigi Marzuillo; Vincenza Pezzella; Stefano Guarino; Anna Di Sessa; Maria Baldascino; Cesare Polito; Emanuele Miraglia Del Giudice; Felice Nunziata
Journal:  Pediatr Nephrol       Date:  2021-03-20       Impact factor: 3.714

  7 in total

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