The prognostic impact of smoking and BMI in interstitial lung diseases: real-world data from primary care.

<bold>Objectives:</bold> To detect the impact of the principal clinical, demographic, and anthropometric parameters on survival from the three main fibrosing interstitial lung diseases (ILDs) categories, using primary care data from the Optimum Care Patient Research Database (OPCRD). <bold>Methods:</bold> We extracted incident cases of hypersensitivity pneumonitis (HP), connective tissue disease related ILDs (CTD-ILDs), and idiopathic pulmonary fibrosis (IPF) for the years 2000-2023. We used the Cox regression to calculate crude and mutually adjusted hazard ratios for mortality. We adjusted the analysis for age, sex, ethnicity, smoking status, and body mass index (BMI). <bold>Results:</bold> We extracted 39,007 incident ILD cases between 2000 and 2023 from the OPCRD (n=5,037 HP, n=10,422 CTD-ILDs, n=23,548 IPF). We found that both a low baseline BMI, and obesity were related with a worse prognosis. Either current or ex-smokers had a poorer survival compared with non-smokers. We did not detect any impact of ethnicity on ILDs survival (Table 1). We obtained substantially overlapping results also analysing each ILD category separately. <bold>Conclusion:</bold> Low baseline BMI and obesity stand out as modifiable prognostic factors, offering insights for primary care interventions. Furthermore, the observed impact of smoking status underscores the importance of targeted interventions and smoking cessation programs in managing ILDs.

Authors

Institutions

Publication Details

Journal
Epidemiology
Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa3104
Citations
2
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
0.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The prognostic impact of smoking and BMI in interstitial lung diseases: real-world data from primary care.

Vydia Navaratnam, Martina Bonifazi, Tamera J. Corte, Francesca Gonnelli et al.
2 citations
Epidemiology
Pulmonary Hypertension Research and Treatments
0.84
article

The prognostic impact of smoking and BMI in interstitial lung diseases: real-world data from primary care.

Vydia Navaratnam, Martina Bonifazi, Tamera J. Corte, Francesca Gonnelli, Ursie Smith, David Price, Richard Hubbard, Victoria Carter, Neva Eleangovan
article en
2 citations

Abstract

<bold>Objectives:</bold> To detect the impact of the principal clinical, demographic, and anthropometric parameters on survival from the three main fibrosing interstitial lung diseases (ILDs) categories, using primary care data from the Optimum Care Patient Research Database (OPCRD). <bold>Methods:</bold> We extracted incident cases of hypersensitivity pneumonitis (HP), connective tissue disease related ILDs (CTD-ILDs), and idiopathic pulmonary fibrosis (IPF) for the years 2000-2023. We used the Cox regression to calculate crude and mutually adjusted hazard ratios for mortality. We adjusted the analysis for age, sex, ethnicity, smoking status, and body mass index (BMI). <bold>Results:</bold> We extracted 39,007 incident ILD cases between 2000 and 2023 from the OPCRD (n=5,037 HP, n=10,422 CTD-ILDs, n=23,548 IPF). We found that both a low baseline BMI, and obesity were related with a worse prognosis. Either current or ex-smokers had a poorer survival compared with non-smokers. We did not detect any impact of ethnicity on ILDs survival (Table 1). We obtained substantially overlapping results also analysing each ILD category separately. <bold>Conclusion:</bold> Low baseline BMI and obesity stand out as modifiable prognostic factors, offering insights for primary care interventions. Furthermore, the observed impact of smoking status underscores the importance of targeted interventions and smoking cessation programs in managing ILDs.

Epidemiology
Marche Polytechnic University (IT), University of Nottingham (GB), Royal Prince Alfred Hospital (AU), Government of Western Australia Department of Health (AU), The Patients Association (GB)
Good health and well-being
Openalex Percentile: Top 23%
Pulmonary Hypertension Research and Treatments
0.84
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.