edit
Edit Data
Charts
Charts
Z-Scores
Z-Scores
♀
Sex: Female
Click to change
♂
Sex: Male
Click to change
Date of Birth
Date of Birth: Not Set{{dob.format("D MMM YYYY")}}
Click to change
Hb
Hemoglobin
g/dl, Click to view
Hct
Hematocrit
%, Click to view
Plt
Platelet Count
/nl, Click to view
Ery
Red Cell Count
10³/nl, Click to view
Leu
White Cell Count
/nl, Click to view
MCH
Mean Corpuscular Hemoglobin
pg, Click to view
MCHC
Mean Corp. Hb Concentration*
g/dl, Click to view
MCV
Mean Corpuscular Volume
fl, Click to view
RDW
Red Cell Distribution Width
%, Click to view
Download
Save Chart(s) or URL
Save chart(s) as PDF or copy URL
{{measurementText(index)}}
Measurement Date
{{ageText(index)}}

Quick guide

Use the boxes on the left to enter patient test results. The two top-most boxes define the test date or the age at testing.

Patient data (i.e. sex and age) can be entered using the top-left tabs.

Navigate between test result entry (this page), graphical result display using percentile charts, and graphical result display using z-scores with the tabs at the top.

Add or remove measurements using the plus or minus symbols.

This Quick Guide disappears automatically once you add measurements.

— 2.5th and 97.5th, — 10th and 90th, — 25th and 75th, — 50th percentile, and ● — Patient
— +3z and -3z, — +2z and -2z, — +1z and -1z, — ±0z, and ● — Patient 
Note that percentiles and z-scores (and the corresponding colors) do not match,
i.e. ±3z ≈ 0.1th/99.9th percentile ±2z ≈ 2.3th/97.7th percentile ±1z ≈ 15.9th/84.1th percentile

Enter Patient's Date of Birth

Enter Measurement Date

Day

Month

Year

Individual .pdf files

Download percentile charts (including entered patient test results) as individual .pdf files:

Combined .pdf

Download all percentile charts (including entered patient test results) as a combined .pdf file:

Copy URL

Copy a link to this web application (including entered patient test results):

About

This is an online tool accompanying the publication

Next-generation reference intervals for pediatric hematology (PubMed https://doi.org/10.1515/cclm-2018-1236)

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 Rascher1, Hans-Ulrich Prokosch2, Manfred Rauh1, and Markus Metzler1 (Show AffiliationsHide Affiliations)

1 Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
2 Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
3 Department of Statistics, University of Bremen, Bremen, Germany
4 Bremer Zentrum für Laboratoriumsmedizin, Klinikum Bremen Mitte, Bremen, Germany
5 MVZ wagnerstibbe, amedes Gruppe, Hannover, Germany
6 Department of Pediatrics and Adolescent Medicine, University Medical Centre, Ulm, Germany
7 Department of Pediatric Oncology/Hematology, Klinikum Augsburg, Augsburg, Germany
8 Core Facility of Clinical Chemistry, University Medical Centre Ulm, Ulm, Germany
9 Department of Transfusion Medicine and Haemostasis, Klinikum Augsburg, Augsburg, Germany
10 Central Laboratory, Gesundheit Nord - Bremen Hospital Group, Bremen, Germany
11 Institute for Laboratory Medicine and Microbiology, Klinikum Augsburg, Augsburg, Germany
12 Institute of Clinical Chemistry, MHH, Hannover, Germany
13 MVZ Labor PD Dr. Volkmann und Kollegen, Karlsruhe, Germany
14 Division of Laboratory Medicine, University Hospital of Würzburg, Würzburg, Germany
15 Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, University of Freiburg, Freiburg, Germany
16 Department of Epidemiology & International Public Health, School of Public Health, Bielefeld University, Bielefeld, Germany
17 Department of Clinical Chemistry, University Hospital of Cologne, Cologne, Germany
18 Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany

A PEDREF subproject

This tool is a subproject of the PEDREF — Next-generation pediatric reference intervals initiative, a collaborative pediatric reference intervals initiative of the Department of Pediatrics, University Hospital Erlangen and our collaborators supported by the DGKL's Working Group on Guide Limits.

Disclaimer

This web application visualizes the reference intervals from the abstract/upcoming publication above. While great care was taken in the programming of this web application and the creation of the reference intervals, there is no warranty for the program and/or reference intervals. In particular, this is not a medical device/product but an ongoing research project, and there is no responsibility for any medical decisions based on this web application.

This tool was programmed by Johannes Hirschmann and Jakob Zierk. It uses Vue.js, momentjs, jpgraph, and icons from Brankic1979.

Application programming interface (API)

It is possible to access the charts and z-scores generated by this application using a web/HTTPS-based Application Programming Interface. (Show APIHide API)

https://www.pedref.org/hematology/z-score.php returns the z-score of a single analyte. Specify (as GET Query String parameters) patient sex (sex, male or female), patient age (age, in days, integer), analyte (analyte, see codes below), and value (value, floating point).

https://www.pedref.org/hematology/chart.php returns a percentile chart (.png) of a single analyte. Specify (as GET Query String parameters) patient sex (sex, male or female), patient age (age, in days, list of integers, ;-separated), analyte (analyte, see codes below), and value (value, list of floating point numbers, ;-separated). If mode=ZChart is specified (optional parameter), a z-chart is returned.

Analyte codes are Hb (Hemoglobin), Ht (Hematocrit), Thr (Platelets), Ery (Red cell count), Leu (White cell count), MCH, MCHC, MCV, RDW.

Contact

If you have any questions or problems, contact us. (Legal Info / Impressum)