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Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry

BACKGROUND: Predictors of survival for interstitial lung disease (ILD) in the Indian population have not been studied. The primary objective of the study was to assess the Modified-Gender Age and Physiology (M-GAP) score to predict survival in patients with ILD seen in clinical practice. We also ana...

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Autores principales: Singh, Sheetu, Bairwa, Mohan, Collins, Bridget F., Sharma, Bharat Bhushan, Joshi, Jyotsana M, Talwar, Deepak, Singh, Nishtha, Pilania, Khushboo, Bhattacharya, Parthasarathi, Gupta, Neeraj, Chetambath, Ravindran, Ghoshal, Aloke G., Kant, Surya, Koul, Parvaiz A, Dhar, Raja, Swarnakar, Rajesh, Singh, Virendra, Raghu, Ganesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066940/
https://www.ncbi.nlm.nih.gov/pubmed/33402631
http://dx.doi.org/10.4103/lungindia.lungindia_414_20
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author Singh, Sheetu
Bairwa, Mohan
Collins, Bridget F.
Sharma, Bharat Bhushan
Joshi, Jyotsana M
Talwar, Deepak
Singh, Nishtha
Pilania, Khushboo
Bhattacharya, Parthasarathi
Gupta, Neeraj
Chetambath, Ravindran
Ghoshal, Aloke G.
Kant, Surya
Koul, Parvaiz A
Dhar, Raja
Swarnakar, Rajesh
Singh, Virendra
Raghu, Ganesh
author_facet Singh, Sheetu
Bairwa, Mohan
Collins, Bridget F.
Sharma, Bharat Bhushan
Joshi, Jyotsana M
Talwar, Deepak
Singh, Nishtha
Pilania, Khushboo
Bhattacharya, Parthasarathi
Gupta, Neeraj
Chetambath, Ravindran
Ghoshal, Aloke G.
Kant, Surya
Koul, Parvaiz A
Dhar, Raja
Swarnakar, Rajesh
Singh, Virendra
Raghu, Ganesh
author_sort Singh, Sheetu
collection PubMed
description BACKGROUND: Predictors of survival for interstitial lung disease (ILD) in the Indian population have not been studied. The primary objective of the study was to assess the Modified-Gender Age and Physiology (M-GAP) score to predict survival in patients with ILD seen in clinical practice. We also analyzed the role of demographic and radiological characteristics in predicting the survival of patients with ILD. MATERIALS AND METHODS: In the ILD India registry, data were collected from 27 centers across 19 cities in India between March 2012 and June 2015. A single follow-up was conducted at 18 centers who agreed to participate in the follow-up in 2017. M-GAP score (range 0–5) was calculated with the following variables: age (≤60 years 0, 61–65 years 1, and >65 years 2), gender (female 0, male 1), and forced vital capacity% (>75% 0, 50%–75% 1, and >75% 2). A score of 0–3 and score of 4 and 5 were classified into Stage 1 and 2, respectively. Other predictors of survival, such as the history of tuberculosis, smoking, and the presence of honeycombing on computed tomography scan, were also evaluated. RESULTS: Nine hundred and seven patients were contacted in 2017. Among them, 309 patients were lost to follow-up; 399 were alive and 199 had died. M-GAP was significantly associated with survival. Similarly, other predictors of survival were ability to perform spirometry (hazard ratio [HR]: 0.49, 95% confidence interval [CI]: 0.34–0.72), past history of tuberculosis (HR: 1.57, 95% CI: 1.07–2.29), current or past history of smoking (HR: 1.51, 95% CI: 1.06–2.16), honeycombing (HR: 1.81, 95% CI: 1.29–2.55), a diagnosis of connective tissue disease -ILD (HR: 0.41, 95% CI: 0.22–0.76), and sarcoidosis (HR: 0.24, 95% CI: 0.08–0.77). CONCLUSION: In a subgroup of patients with newly diagnosed ILD enrolled in ILD India registry and who were available for follow-up, M-GAP score predicted survival. Honeycombing at the time of diagnosis, along with accurate history of smoking, and previous history of tuberculosis were useful indices for predicting survival.
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spelling pubmed-80669402021-04-27 Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry Singh, Sheetu Bairwa, Mohan Collins, Bridget F. Sharma, Bharat Bhushan Joshi, Jyotsana M Talwar, Deepak Singh, Nishtha Pilania, Khushboo Bhattacharya, Parthasarathi Gupta, Neeraj Chetambath, Ravindran Ghoshal, Aloke G. Kant, Surya Koul, Parvaiz A Dhar, Raja Swarnakar, Rajesh Singh, Virendra Raghu, Ganesh Lung India Original Article BACKGROUND: Predictors of survival for interstitial lung disease (ILD) in the Indian population have not been studied. The primary objective of the study was to assess the Modified-Gender Age and Physiology (M-GAP) score to predict survival in patients with ILD seen in clinical practice. We also analyzed the role of demographic and radiological characteristics in predicting the survival of patients with ILD. MATERIALS AND METHODS: In the ILD India registry, data were collected from 27 centers across 19 cities in India between March 2012 and June 2015. A single follow-up was conducted at 18 centers who agreed to participate in the follow-up in 2017. M-GAP score (range 0–5) was calculated with the following variables: age (≤60 years 0, 61–65 years 1, and >65 years 2), gender (female 0, male 1), and forced vital capacity% (>75% 0, 50%–75% 1, and >75% 2). A score of 0–3 and score of 4 and 5 were classified into Stage 1 and 2, respectively. Other predictors of survival, such as the history of tuberculosis, smoking, and the presence of honeycombing on computed tomography scan, were also evaluated. RESULTS: Nine hundred and seven patients were contacted in 2017. Among them, 309 patients were lost to follow-up; 399 were alive and 199 had died. M-GAP was significantly associated with survival. Similarly, other predictors of survival were ability to perform spirometry (hazard ratio [HR]: 0.49, 95% confidence interval [CI]: 0.34–0.72), past history of tuberculosis (HR: 1.57, 95% CI: 1.07–2.29), current or past history of smoking (HR: 1.51, 95% CI: 1.06–2.16), honeycombing (HR: 1.81, 95% CI: 1.29–2.55), a diagnosis of connective tissue disease -ILD (HR: 0.41, 95% CI: 0.22–0.76), and sarcoidosis (HR: 0.24, 95% CI: 0.08–0.77). CONCLUSION: In a subgroup of patients with newly diagnosed ILD enrolled in ILD India registry and who were available for follow-up, M-GAP score predicted survival. Honeycombing at the time of diagnosis, along with accurate history of smoking, and previous history of tuberculosis were useful indices for predicting survival. Wolters Kluwer - Medknow 2021 2020-12-31 /pmc/articles/PMC8066940/ /pubmed/33402631 http://dx.doi.org/10.4103/lungindia.lungindia_414_20 Text en Copyright: © 2020 Indian Chest Society https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Singh, Sheetu
Bairwa, Mohan
Collins, Bridget F.
Sharma, Bharat Bhushan
Joshi, Jyotsana M
Talwar, Deepak
Singh, Nishtha
Pilania, Khushboo
Bhattacharya, Parthasarathi
Gupta, Neeraj
Chetambath, Ravindran
Ghoshal, Aloke G.
Kant, Surya
Koul, Parvaiz A
Dhar, Raja
Swarnakar, Rajesh
Singh, Virendra
Raghu, Ganesh
Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title_full Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title_fullStr Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title_full_unstemmed Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title_short Survival predictors of interstitial lung disease in India: Follow-up of Interstitial Lung Disease India registry
title_sort survival predictors of interstitial lung disease in india: follow-up of interstitial lung disease india registry
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066940/
https://www.ncbi.nlm.nih.gov/pubmed/33402631
http://dx.doi.org/10.4103/lungindia.lungindia_414_20
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