Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Predicting Factors of Interstitial Lung Disease in Dermatomyositis and Polymyositis

Authors: Ashish Kumar Jaiswal; Vidushi Jain;

Predicting Factors of Interstitial Lung Disease in Dermatomyositis and Polymyositis

Abstract

The aim of this study was to define the predicting factors and evaluate the prognosis of interstitial lung disease in dermatomyositis/polymyositis. For the period 2018–2022, we retrospectively reviewed the clinical information and laboratory data of 56 patients who were diagnosed as definite and probable dermatomyositis and polymyositis. Interstitial lung disease is common (41.9%) in these patients. Dyspnoea and cough were the two most common initial presentations. Anti-Jo1 antibody was more common in those with interstitial lung disease. Univariate and multivariate analyses identified primary idiopathic dermatomyositis subtype, cough and dyspnoea at onset to be the three independent clinical predicting factors of interstitial lung disease. High serum lactate dehydrogenase level (>400 U/l) was inversely associated with development of interstitial lung disease (OR 0.088, p=0.031). Serum lactate dehydrogenase level and presence of anti- Jo1 antibody can serve as laboratory indicators of lung complications. Patients with malignancy and older age at onset (more than 60 years) had poorer prognosis for dermatomyositis/polymyositis (p=0.047 and p=0.035, respectively). Interstitial lung disease did not affect the survival of dermatomyositis/polymyositis patients.

The aim of this study was to define the predicting factors and evaluate the prognosis of interstitial lung disease in dermatomyositis/polymyositis. For the period 2018–2022, we retrospectively reviewed the clinical information and laboratory data of 56 patients who were diagnosed as definite and probable dermatomyositis and polymyositis. Interstitial lung disease is common (41.9%) in these patients. Dyspnoea and cough were the two most common initial presentations. Anti-Jo1 antibody was more common in those with interstitial lung disease. Univariate and multivariate analyses identified primary idiopathic dermatomyositis subtype, cough and dyspnoea at onset to be the three independent clinical predicting factors of interstitial lung disease. High serum lactate dehydrogenase level (>400 U/l) was inversely associated with development of interstitial lung disease (OR 0.088, p=0.031). Serum lactate dehydrogenase level and presence of anti- Jo1 antibody can serve as laboratory indicators of lung complications. Patients with malignancy and older age at onset (more than 60 years) had poorer prognosis for dermatomyositis/polymyositis (p=0.047 and p=0.035, respectively). Interstitial lung disease did not affect the survival of dermatomyositis/polymyositis patients.

Related Organizations
Keywords

Dermatomyositis; Polymyositis; Interstitial Lung Disease; Predicting Factor; Lactate Dehydrogenase Level

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities