ArticleChest2018
Outcomes and Mortality Prediction Model of Critically Ill Adults With Acute Respiratory Failure and Interstitial Lung Disease.
Article in Chest, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Comparison of video laryngoscopy with direct laryngoscopy in critically ill patients: a systematic review and meta-analysis of randomized controlled trials.European journal of medical research · 2025Pooled it
- Admission-Based Machine-Learning Models for Predicting Mechanical Ventilation and Mortality in Fibrotic Interstitial Lung Disease: A Multicenter Cohort Study with External Validation.Balkan medical journal · 2026Article
- Outcomes After Acute Respiratory Failure in Patients With Interstitial Lung Disease.CHEST pulmonary · 2026Article
- Characteristics and Outcomes of Diffuse Interstitial Pneumonias Discovered in the ICU: A Retrospective Monocentric Study-The "IPIC" (Interstitial Pneumonia in Intensive Care) Study.Diagnostics (Basel, Switzerland) · 2025Article
- Management strategies and outcomes predictors of interstitial lung disease exacerbation admitted to an intensive care setting: A narrative review.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025Review
- AORI-HAP: a multidimensional risk index to predict in-hospital adverse outcomes in asthma exacerbations.Frontiers in medicine · 2025Article
- Mechanical ventilation in patients with idiopathic pulmonary fibrosis in Korea: a nationwide cohort study.The Korean journal of internal medicine · 2024Observational
- Association between coagulation disorder scores and in-hospital mortality in ARF patients: a retrospective analysis from the MIMIC-IV database.Frontiers in medicine · 2023Article
- Cyclophosphamide for interstitial lung disease-associated acute respiratory failure: mortality, clinical response and radiological characteristics.BMC pulmonary medicine · 2021Article
- Efficacy of extracorporeal membrane oxygenation for acute respiratory failure with interstitial lung disease: a case control nationwide dataset study in Japan.Respiratory research · 2021Article
- Interstitial Lung Disease Worsens Short- and Long-Term Outcomes of Systemic Rheumatic Disease Patients Admitted to the ICU: A Multicenter Study.Journal of clinical medicine · 2021Article
- Development and validation of a nomogram to predict the mortality risk in elderly patients with ARF.PeerJ · 2021Article
- Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury.Frontiers in medicine · 2021Article
- Frailty after lung transplantation is associated with impaired health-related quality of life and mortality.Thorax · 2020Article
- Prognosis and causes of death of patients with acute exacerbation of fibrosing interstitial lung diseases.BMJ open respiratory research · 2020Article
- Prognostic impact of pre-existing interstitial lung disease in non-HIV patients withERJ open research · 2020Article
- Article
- Prognostic effects of clinical and CT imaging features on critically ill patients with interstitial lung disease hospitalized in respiratory intensive care unit.Scientific reports · 2019Article
- Presentations and outcomes of interstitial lung disease and the anti-Ro52 autoantibody.Respiratory research · 2019Article
- Outcome and prognostic factors of interstitial lung disease patients with acute respiratory failure in the intensive care unit.Therapeutic advances in respiratory diseaseObservational
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundWe aimed to examine short- and long-term mortality in a mixed population of patients with interstitial lung disease (ILD) with acute respiratory failure, and to identify those at lower vs higher risk of in-hospital death.
methodsWe conducted a single-center retrospective cohort study of 126 consecutive adults with ILD admitted to an ICU for respiratory failure at a tertiary care hospital between 2010 and 2014 and who did not undergo lung transplantation during their hospitalization. We examined associations of ICU-day 1 characteristics with in-hospital and 1-year mortality, using Poisson regression, and examined survival using Kaplan-Meier curves. We created a risk score for in-hospital mortality, using a model developed with penalized regression.
resultsIn-hospital mortality was 66%, and 1-year mortality was 80%. Those with connective tissue disease-related ILD had better short-term and long-term mortality compared with unclassifiable ILD (adjusted relative risk, 0.6; 95% CI, 0.3-0.9; and relative risk, 0.6; 95% CI, 0.4-0.9, respectively). Our prediction model includes male sex, interstitial pulmonary fibrosis diagnosis, use of invasive mechanical ventilation and/or extracorporeal life support, no ambulation within 24 h of ICU admission, BMI, and Simplified Acute Physiology Score-II. The optimism-corrected C-statistic was 0.73, and model calibration was excellent (P = .99). In-hospital mortality rates for the low-, moderate-, and high-risk groups were 33%, 65%, and 96%, respectively.
conclusionsWe created a risk score that classifies patients with ILD with acute respiratory failure from low to high risk for in-hospital mortality. The score could aid providers in counseling these patients and their families.
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Registered trials
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.