Table · dataset · 2026
Identification of clinical phenotypes and development of a predictive model for rapid lung function decline in COPD patients
Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.34041811.v1
<p>Chronic obstructive pulmonary disease (COPD) exhibits significant clinical heterogeneity.
Description
This study integrates phenotype identification with longitudinal lung function analysis to develop a prediction tool for rapid decline in a large Chinese cohort.</p> <p>This study included 38,863 COPD patients from a national multicenter screening program. Latent class analysis identified clinical phenotypes.
Among 1,215 patients with baseline and 24-month follow-up spirometry, rapid decline was defined as annual FEV<sub>1</sub> decline ≥40 mL or FEV<sub>1</sub>% predicted decline >1.5%. LASSO regression and the Boruta algorithm selected predictive variables. Six machine learning models were constructed and evaluated for discrimination, calibration, and utility.
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SHAP analysis was employed for interpretation.</p> <p>Three distinct phenotypes were identified: Phenotype 1 (GOLD Stage 2, non-smoking females, 25.8%), Phenotype 2 (GOLD Stage 1, smoking males, 44.8%), and Phenotype 3 (GOLD Stage 3, severe smokers, 29.4%). Phenotype 2 exhibited the highest rapid decline rate (55.8%). The CatBoost model achieved optimal performance (AUC 0.712) using six variables: region, fuel type, income level, wheezing, hip circumference, and baseline FEV<sub>1</sub>.
SHAP identified baseline FEV<sub>1</sub> as the top predictor. At a threshold of 0.365, the model attained 95.5% sensitivity and 86.4% negative predictive value, with significant net benefit.</p> <p>Three clinical phenotypes were identified among COPD patients. Phenotype 2 exhibits the highest risk of rapid progression, representing a key target group for intervention.
The predictive model, based on six simple indicators, serves as a valuable tool for screening high-risk rapid decliners.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34041811.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Machine learning · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Disease 75% · Longitudinal study 65%
Provenance · 11 source records, 105 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| Swinburne Figshare | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| SUNScholarData | oai:figshare.com:article/34041811 | 11 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34041811 | 10 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34041811 | 10 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34041811 | 10 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34041811 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:320211 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · grantsdata jst go jp | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare swinburne edu au | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · scholardata sun ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:group:3102 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · scholardata sun ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · grantsdata jst go jp | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · figshare swinburne edu au | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:4611 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · figshare swinburne edu au | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · scholardata sun ac za | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].anzsrc:group:4611 | mapping · grantsdata jst go jp | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |