Evidence map›Paper›PMID 38940720›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2024

Predictive factors of mortality in patients with idiopathic pulmonary fibrosis treated with antifibrotics: a novel prognostic scoring system.

Gülru Polat, Özer Özdemir, Sinem Ermin, Damla Serçe Unat, Fatma Demirci Üçsular

Abstract read
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Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Prognostic significance of HALP score in İdiopathic Pulmonary Fibrosis-related mortality.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
  4. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gülru PolatDepartment of Pulmonology, University of Health Sciences, Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.
Özer ÖzdemirDepartment of Pulmonology, University of Health Sciences, Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.
Sinem ErminDepartment of Pulmonology, University of Health Sciences, Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.
Damla Serçe UnatDepartment of Pulmonology, University of Health Sciences, Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.
Fatma Demirci ÜçsularDepartment of Pulmonology, University of Health Sciences, Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAny test that provides sufficient prognostic information to guide treatment decisions in idiopathic pulmonary fibrosis (IPF) is not available. The aim of our study was to determine the predictive factors of mortality in patients with IPF treated with antifibrotics.

methodsPatients with diagnosis of IPF who were treated with antifibrotics between 2016 - 2021 were included in the study. Demographic, clinical and laboratory characteristics of the patients was derived from hospital records retrospectively. Kaplan Meier and multivariate cox regression analysis were achieved for detection of mortality predictors.

resultsStudy population was composed of 119 IPF patients with a male predominance of 80.7% (n=96). Mean age of the patients was 67.9 ± 7.07 years. On univariate analysis, sex was not a significant predictor of mortality (HR 1.79; 95% CI: 0.87 - 3.69, p =0.11).  BMI ≤ 26,6 m2/kg, DLCO ≤ 3.11 ml/mmHg/min, age over 62 years, 6DWT ≤ 382 meters, NLR ≤ 2.67 and PDW ≤ 16.7% were found to be significant for predicting mortality. On multivariate cox regression analysis four parameters remained significant for prediction of mortality: RDW > 14%, NLR ≤ 2.67, BMI ≤ 26,6 m2/kg and DLCO ≤ 3.11 ml/mmHg/min (respectively, HR: 2.0. 95% CI: 1.02 - 3.91, p=0.44; HR: 2.68. 95% CI: 1.48 - 4.85, p=0.001, HR: 2.07. 95% CI: 1.14 - 3.76, p=0.02, HR: 3.46. 95% CI: 1.85 - 6.47, p<0.001). A scoring system with these parameters discriminated patients with worse prognosis with a sensitivity of 89.1 % and a specificity of 65.8 % when total point was over 2 (AUC0.83, p<0.001). Conclusions In this study, DLCO, BMI, RDW and NLR levels significantly predicted mortality in IPF patients. Along with GAP index, scoring system with these simple parameters may give information about the prognosis of an IPF patient treated with antifibrotics.

Identifiers

PMID38940720
PMCPMC11275550

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.