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The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations
BACKGROUND: Gastroesophageal reflux disease (GERD) is a common comorbidity in patients with interstitial lung disease (ILD). We built and validated a model using the national inpatient sample (NIS) database to assess the contributory role of GERD in ILD-related hospitalizations mortality. METHODS: I...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061884/ https://www.ncbi.nlm.nih.gov/pubmed/36998050 http://dx.doi.org/10.1186/s12931-023-02407-4 |
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author | Alqalyoobi, Shehabaldin Little, Bertis Brit Oldham, Justin M. Obi, Ogugua Ndili |
author_facet | Alqalyoobi, Shehabaldin Little, Bertis Brit Oldham, Justin M. Obi, Ogugua Ndili |
author_sort | Alqalyoobi, Shehabaldin |
collection | PubMed |
description | BACKGROUND: Gastroesophageal reflux disease (GERD) is a common comorbidity in patients with interstitial lung disease (ILD). We built and validated a model using the national inpatient sample (NIS) database to assess the contributory role of GERD in ILD-related hospitalizations mortality. METHODS: In this retrospective analysis, we extracted ILD-related hospitalizations data between 2007 and 2019 from the NIS database. Univariable logistic regression was used for predictor selection. Data were split into the training and validation cohorts (0.6 and 0.4, respectively). We used decision tree analysis (classification and regression tree, CART) to create a predictive model to explore the role of GERD in ILD-related hospitalizations mortality. Different metrics were used to evaluate our model. A bootstrap-based technique was implemented to balance our training data outcome to improve our model metrics in the validation cohort. We conducted a variance-based sensitivity analysis to evaluate GERD's importance in our model. FINDINGS: The model had a sensitivity of 73.43%, specificity of 66.15%, precision of 0.27, negative predictive value (NPV) of 93.62%, accuracy of 67.2%, Matthews Correlation Coefficient (MCC) of 0.3, F1 score of 0.4, and area under the curve (AUC) for the receiver operating characteristic (ROC) curve of 0.76. GERD did not predict survival in our cohort. GERD contribution to the model was ranked the eleventh among twenty-nine variables included in this analysis (importance of 0.003, normalized importance of 5%). GERD was the best predictor in ILD-related hospitalizations who didn’t receive mechanical ventilation. INTERPRETATIONS: GERD is associated with mild ILD-related hospitalization. Our model-performance measures suggest overall an acceptable discrimination. Our model showed that GERD does not have a prognostic value in ILD-related hospitalization, indicating that GERD per se might not have any impact on mortality in hospitalized ILD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02407-4. |
format | Online Article Text |
id | pubmed-10061884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100618842023-03-31 The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations Alqalyoobi, Shehabaldin Little, Bertis Brit Oldham, Justin M. Obi, Ogugua Ndili Respir Res Research BACKGROUND: Gastroesophageal reflux disease (GERD) is a common comorbidity in patients with interstitial lung disease (ILD). We built and validated a model using the national inpatient sample (NIS) database to assess the contributory role of GERD in ILD-related hospitalizations mortality. METHODS: In this retrospective analysis, we extracted ILD-related hospitalizations data between 2007 and 2019 from the NIS database. Univariable logistic regression was used for predictor selection. Data were split into the training and validation cohorts (0.6 and 0.4, respectively). We used decision tree analysis (classification and regression tree, CART) to create a predictive model to explore the role of GERD in ILD-related hospitalizations mortality. Different metrics were used to evaluate our model. A bootstrap-based technique was implemented to balance our training data outcome to improve our model metrics in the validation cohort. We conducted a variance-based sensitivity analysis to evaluate GERD's importance in our model. FINDINGS: The model had a sensitivity of 73.43%, specificity of 66.15%, precision of 0.27, negative predictive value (NPV) of 93.62%, accuracy of 67.2%, Matthews Correlation Coefficient (MCC) of 0.3, F1 score of 0.4, and area under the curve (AUC) for the receiver operating characteristic (ROC) curve of 0.76. GERD did not predict survival in our cohort. GERD contribution to the model was ranked the eleventh among twenty-nine variables included in this analysis (importance of 0.003, normalized importance of 5%). GERD was the best predictor in ILD-related hospitalizations who didn’t receive mechanical ventilation. INTERPRETATIONS: GERD is associated with mild ILD-related hospitalization. Our model-performance measures suggest overall an acceptable discrimination. Our model showed that GERD does not have a prognostic value in ILD-related hospitalization, indicating that GERD per se might not have any impact on mortality in hospitalized ILD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02407-4. BioMed Central 2023-03-30 2023 /pmc/articles/PMC10061884/ /pubmed/36998050 http://dx.doi.org/10.1186/s12931-023-02407-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Alqalyoobi, Shehabaldin Little, Bertis Brit Oldham, Justin M. Obi, Ogugua Ndili The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title | The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title_full | The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title_fullStr | The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title_full_unstemmed | The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title_short | The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
title_sort | prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061884/ https://www.ncbi.nlm.nih.gov/pubmed/36998050 http://dx.doi.org/10.1186/s12931-023-02407-4 |
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