Loading...
Loading...
Loading...
User Input Table
Loading...
Welcome to Lung Function Tracker (LUNGTRACKER.V2.0)
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 trajectory and individual reference lines. The lung tracker function offers individual lung function trajectory charts that display raw values or GLI-based z-scores, covering ages 4 to 90. It is specifically designed for visualizing the lung function trajectory of a single participant at a time. Additionally, the lung tracker provides a growth chart for lung function, spanning ages 4 to 25, with a fixed age range for output. Users also have the flexibility to customize the age range for their output plots.The report also incorporates a height chart, providing additional contextual data to support comprehensive analysis.
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(year),age(month), height, sex,ethnicity, measure spirometry type 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 ensure that the column names in your Excel or Text file match exactly as specified below.
Usage Guidelines:
Whenever possible, use fractional ages (in years and months) for pediatric cases to improve calculation accuracy while avoiding duplication of age information. Additionally, you can label the figure with either percentiles or standard deviation scores, placing the lower limit accordingly. Users can also select the graph display option—pre, post, both, or best—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_year,Age_month, Height, Sex, Ethnicity, measure spirometry type, and at least one lung function parameter at each measurement.
| Variable | Description | Type | Range |
|---|---|---|---|
| Age_year | Age (years) at the time of each measurement | Integer | 4-90 |
| Age_month | Age (month) at the time of each measurement | Integer | 0-11 |
| 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 (Race-neutral=1, Caucasian=2, African American=3,North East Asian=4, South East Asian=5, Other or Mixed=6) | String | 1,2,3,4,5,6 |
| FEV1 | Forced Expiratory Volume (1 sec) measured during spirometry (L) | Decimal | 0-10 |
| FVC | Forced Vital Capacity measured during spirometry (L) | Decimal | 0-10 |
| spirometry | measure spirometry type | Binary | pre or post |
Example data input file format:
| Age_year | Age_month | Height | Sex | Ethnicity | FEV1 | FVC | Spirometry |
|---|---|---|---|---|---|---|---|
| 6 | 8 | 120.9 | 1 | 1 | 1.16 | 1.24 | pre |
| 6 | 8 | 120.9 | 1 | 1 | 1.1 | 1.2 | post |
| 11 | 4 | 142 | 1 | 1 | 1.8 | 1.94 | pre |
| 11 | 4 | 142 | 1 | 1 | 1.6 | 1.7 | post |
| 14 | 0 | 150 | 1 | 1 | 2.01 | 2.16 | pre |
| 14 | 0 | 150 | 1 | 1 | 1.98 | 2 | post |
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.
Publication metrics
Dimensions Badge
Altmetric
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.
