Comparison of DLCO and Spirometry for Monitoring of Disease in Patients of ILD

Background: The relative utility of DLCO and spirometry in monitoring interstitial lung disease (ILD) progression remains debated. This study aimed to evaluate the correlation between these parameters and their relationship with disease progression. Methods: A cross-sectional study of 54 patients with confirmed ILD was conducted at M.M. Institute of Medical Sciences and Research. Spirometry, DLCO measurements, and HRCT were performed at baseline, 3 months, and 6 months. Clinical parameters, including dyspnea grade and 6-minute walk test, were assessed. Results: The study population comprised 22 males (40.7%) and 32 females (59.2%), with interstitial pneumonia (42.6%) and IPF (22.2%) as predominant diagnoses. Mean FVC% predicted declined from 54.33±13.37 to 51.05±13.02 over 6 months, while DLCO remained relatively stable (35.74±16.49 to 35.37±16.12). Strong correlation was observed between baseline DLCO and FVC values (κ=0.87). Patients with DLCO <70 showed significantly lower FVC% predicted compared to those with DLCO >70 (54.8±1.8 vs 80.9±1.6, p=0.001). Reticular pattern was the predominant radiological finding (57.41%). Conclusion: DLCO and spirometry provide complementary information in ILD monitoring, with FVC showing earlier changes over the 6-month period. The strong correlation between these parameters suggests their combined utility in assessing disease severity and progression.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-25
DOI
https://doi.org/10.5281/zenodo.14246199
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of DLCO and Spirometry for Monitoring of Disease in Patients of ILD

Zenodo (CERN European Organization for Nuclear Research)
Liver Disease Diagnosis and Treatment
article

Comparison of DLCO and Spirometry for Monitoring of Disease in Patients of ILD

article en

Abstract

Background: The relative utility of DLCO and spirometry in monitoring interstitial lung disease (ILD) progression remains debated. This study aimed to evaluate the correlation between these parameters and their relationship with disease progression. Methods: A cross-sectional study of 54 patients with confirmed ILD was conducted at M.M. Institute of Medical Sciences and Research. Spirometry, DLCO measurements, and HRCT were performed at baseline, 3 months, and 6 months. Clinical parameters, including dyspnea grade and 6-minute walk test, were assessed. Results: The study population comprised 22 males (40.7%) and 32 females (59.2%), with interstitial pneumonia (42.6%) and IPF (22.2%) as predominant diagnoses. Mean FVC% predicted declined from 54.33±13.37 to 51.05±13.02 over 6 months, while DLCO remained relatively stable (35.74±16.49 to 35.37±16.12). Strong correlation was observed between baseline DLCO and FVC values (κ=0.87). Patients with DLCO <70 showed significantly lower FVC% predicted compared to those with DLCO >70 (54.8±1.8 vs 80.9±1.6, p=0.001). Reticular pattern was the predominant radiological finding (57.41%). Conclusion: DLCO and spirometry provide complementary information in ILD monitoring, with FVC showing earlier changes over the 6-month period. The strong correlation between these parameters suggests their combined utility in assessing disease severity and progression.

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN), Sher-i-Kashmir Institute of Medical Sciences (IN), Chest Diseases Hospital (KW)
Good health and well-being
Openalex Percentile: Top 47%
Liver Disease Diagnosis and Treatment
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.