Clinical phenotypes predict exacerbations of COPD: the TIE cohort study

Clinical COPD phenotypes based on comorbidities, dyspnoea, age, FEV<sub>1</sub>, and BMI predict AECOPDs but do not perform better than AECOPD history. However, they perform better than AECOPD history in predicting mortality.

Authors

Institutions

Publication Details

Journal
Respiratory Medicine
Published
2025-05-26
DOI
https://doi.org/10.1016/j.rmed.2025.108182
Citations
1
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical phenotypes predict exacerbations of COPD: the TIE cohort study

Karin Lisspers, Andreï Malinovschi, Christer Janson, Marieann Högman et al.
1 citations
Respiratory Medicine
Chronic Obstructive Pulmonary Disease (COPD) Research
1.52
article

Clinical phenotypes predict exacerbations of COPD: the TIE cohort study

Karin Lisspers, Andreï Malinovschi, Christer Janson, Marieann Högman, Amir Farkhooy, Maria Hårdstedt, Björn Ställberg, Jens Ellingsen, Andreas Palm, Kristina Bröms
article en
1 citations

Abstract

Clinical COPD phenotypes based on comorbidities, dyspnoea, age, FEV<sub>1</sub>, and BMI predict AECOPDs but do not perform better than AECOPD history. However, they perform better than AECOPD history in predicting mortality.

Respiratory MedicineVol. 244
Uppsala University (SE), Uppsala University Hospital (SE), Center for Clinical Research Dalarna (SE)
Riksförbundet HjärtLung, Uppsala Universitet, Bror Hjerpstedts stiftelse, HjärtLung Uppsala, Länsföreningen
Openalex Percentile: Top 18%
Chronic Obstructive Pulmonary Disease (COPD) Research
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Clinical phenotypes predict exacerbations of COPD: the TIE cohort study — Karin Lisspers, Andreï Malinovschi, et al. · Respiratory Medicine (2025) | TGRS Research Map | TGRS