Welcome to Lung Function Tracker (LUNGTRACKER.V1.1)
Click here to see the total app user
This tool is intended for visualization of lung function data only and not for clinical diagnostics. The resulting plot should be interpreted together with other clinical and medical data. Lung tracker does not take responsibility for any healthcare decisions related to the use of this tool.
This freely available tool is designed to monitor and visualize lung function change over time in children and adults. Please enter individual-level data as age, height, sex, ethnicity and spirometry measures (FEV1 and FVC in liters) or upload excel file to return lung function level and potential change (if repeated data are entered) along with individual-level reference curves
(based on GLI lung function data:
GLI Data
and WHO height curves:
WHO Height Curves
.
Lung function can be mapped and plotted for any age across the life-course (4-90 years).
Click here
for more information about the Lung tracker tool and
here
for the related publication.
Melén E, Faner R et al. Lung function trajectories: relevance and implementation in clinical practice. Lancet. Published online March 12, 2024.
Click here to see the total app user
This tool is intended for visualization of lung function data only and not for clinical diagnostics. The resulting plot should be interpreted together with other clinical and medical data. Lung tracker does not take responsibility for any healthcare decisions related to the use of this tool.
Disclaimer
The Lung Tracker is freely available for software implementation to visualize lung function data.
This tool is intended for research and educational purposes and should not be used for patient treatment. The resulting plot should be interpreted in conjunction with other clinical and medical data.
For treatment and diagnostic purposes, please utilize the GLI reference equations as implemented by medical device companies.
Lung function tracker
This documentation outlines the usage of web-based calculators for single- or multi-record individual lung function and individual reference lines. The lung function tracker provides both an all-age raw value chart (spanning from 4 to 90 years of age) and an all-age GLI-based z scores chart (spanning from 4 to 90 years of age). Furthermore, users can set the minimum and maximum range for the figure or focus on the lung function growth chart, which covers the age range from 4 to 25 years, with a fixed age range for the output. Additionally, the lung function tracker is specifically designed to illustrate individual lung function trajectories, making it suitable for use with one participant at a time.
Manual Data Entry
Fill out the form on the left side of the page, providing measurements obtained from the individual. Refer to the list below for the mandatory input values for each test. The system will prompt you if any required information is missing or if errors are detected.
Data Upload via Excel or Text File
Prepare your Excel or Text file (.csv, .xls, .xlsx or .txt) containing the mandatory and lung function parameters for the participants. Upload the file to the dedicated input field located on the left side of the calculator page. All the test points (outlined below) are utilized for the lung function tracker. Therefore, when preparing your Excel or Text file, ensure to include the mandatory variables: age, height, sex,ethnicity and at least one lung function parameters. Refer to the variables documentation below for details on optional input values. Ethnicity is a crucial variable for calculating reference lines, and valid values are specified below. Please use the column names in your Excel or text file as specified below.
Usage Guidelines:
Whenever applicable, use fractional ages (to one decimal place) to enhance calculation accuracy, and avoid duplicating the age information. Additionally, you have the option to label the figure with either the percentile or standard deviation,placing the lower limit on the left side of the page. Please be aware that for modern browsers like Chrome, Firefox, Safari, IE 10+, and Edge, no data will be written to the server. However, for IE 9 and below, a results file will be generated and automatically deleted within 24 hours. Keep in mind that missing values on non-mandatory variables are replaced by NA values and will be skipped in the output. The general data provided for the lung function tracker is regularly updated at the bottom of the table. It becomes visible in the output when downloaded using the “Download” button. You can conveniently print the table contents along with the plots in PDF format.
Mandatory variables include Age, Height, Sex, Ethnicity, and at least one lung function parameter at each measurement.
| Variable | Description | Type | Range |
|---|---|---|---|
| Age | Age (years) at the time of each measurement | decimal | 4-90 |
| Height | Height (cm) at the time of each measurement | decimal | 50-230 |
| Sex | Participant’s sex (Male=1, Female=2) | string | 1,2 |
| Ethnicity | Ethnicity 1=(Caucasian), 2=(African American),3=(North East Asian), 4=(South East Asian), 5=(Other or Mixed) | string | 1,2,3,4,5 |
| FEV1 | Forced Expiratory Volume (1 sec) measured during spirometry (L) | decimal | 0-10 |
| FVC | Forced Vital Capacity measured during spirometry (L) | decimal | 0-10 |
Example data input file format:
| Age | Height | Sex | Ethnicity | FEV1 | FVC |
|---|---|---|---|---|---|
| 6.75 | 120.9 | 1 | 1 | 1.16 | 1.24 |
| 11.7 | 142 | 1 | 1 | 1.8 | 1.94 |
| 14 | 150 | 1 | 1 | 2.01 | 2.16 |
Outlined here are the contributors, both individuals and organizations, who played a key role in the development of LUNGTRACKER.
Citation
Erik Melén, Rosa Faner, James P Allinson, Dinh Bui, Andrew Bush, Adnan Custovic, Judith Garcia-Aymerich, Stefano Guerra, Robab Breyer-Kohansal, Jenny Hallberg, Lies Lahousse, Fernando D Martinez, Simon Kebede Merid, Pippa Powell, Hilary Pinnock, Sanja Stanojevic, Lowie E G W Vanfleteren, Gang Wang, Shyamali C Dharmage, Jadwiga Wedzicha, Alvar Agusti, CADSET Investigators. Lung function trajectories: relevance and implementation in clinical practice. Lancet. Published online March 12, 2024.
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Credits
- Conceptualisation: Erik Melén, Rosa Faner, Shyamali C. Dharmage, Jadwiga Wedzicha, Alvar Agusti.
- Concept feedback and development: James P. Allinson, Dinh Bui, Andrew Bush, Adnan Custovic, Judith Garcia-Aymerich, Stefano Guerra, Robab Breyer-Kohansal, Jenny Hallberg, Lies Lahousse, Fernando D. Martinez, Simon Kebede Merid, Pippa Powell, Hilary Pinnock, Sanja Stanojevic, Lowie E.G.W. Vanfleteren, Gang Wang.
- Software: Simon Kebede Merid, Gang Wang, Richard Francis, Jenny Hallberg, Sanja Stanojevic, Erik Melén.
- Programming: Simon Kebede Merid, Gang Wang.
- CONTACT EMAIL: Simon Kebede Merid, Gang Wang, Erik Melén.
Funding
This work was supported by ERS CADSET collaboration, Swedish Research Council, Swedish Heart-Lung Foundation, European Research Council, Karolinska Institutet, and Södersjukhuset.
