ArticleBMC pulmonary medicine2022
Development and validation of a prognostic nomogram among patients with acute exacerbation of chronic obstructive pulmonary disease in intensive care unit.
Article in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predictive value of neutrophil-lymphocyte ratio for all-cause mortality in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.BMC pulmonary medicine · 2025Pooled it
- The safety and efficacy of non-typeable Haemophilus influenzae and Moraxella catarrhalis vaccine in chronic obstructive pulmonary disease: a systematic review and meta-analysis of randomized controlled trials.Frontiers in medicine · 2025Pooled it
- Prognostic risk prediction model for patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD): a systematic review and meta-analysis.Respiratory research · 2024Pooled it
- Decreased CD3 + CD4+ T lymphocyte count predicts 28-day all-cause mortality in severe AECOPD patients admitted to the ICU: a retrospective cohort study.Scientific reports · 2026Article
- Predictive models for mortality readmission events and cardiovascular complications in patients with COPD: a systematic review and meta-analysis.ERJ open research · 2026Article
- Development and Internal Validation of a Nutrition-Related Indicator-Based Prediction Model for in-Hospital Mortality in Hospitalized Patients with AECOPD.International journal of chronic obstructive pulmonary disease · 2026Article
- Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data.Fujita medical journal · 2025Article
- Development and Validation of an In-Hospital Mortality Prediction Model for Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2024Article
- Comprehensive Nomograms Using Routine Biomarkers Beyond Eosinophil Levels: Enhancing Predictability of Corticosteroid Treatment Outcomes in AECOPD.Journal of inflammation research · 2024Article
- High-Flow Nasal Cannula versus Noninvasive Ventilation in AECOPD Patients with Respiratory Acidosis: A Retrospective Propensity Score-Matched Study.Canadian respiratory journal · 2023Article
- A risk nomogram for predicting prolonged intensive care unit stays in patients with chronic obstructive pulmonary disease.Frontiers in medicine · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) contributes significantly to mortality among patients with COPD in Intensive care unit (ICU). This study aimed to develop a nomogram to predict 30-day mortality among AECOPD patients in ICU.
methodsIn this retrospective cohort study, we extracted AECOPD patients from Medical Information Mart for Intensive Care III (MIMIC-III) database. Multivariate logistic regression based on Akaike information criterion (AIC) was used to establish the nomogram. Internal validation was performed by a bootstrap resampling approach with 1000 replications. The discrimination and calibration of the nomogram were evaluated by Harrell's concordance index (C-index) and Hosmer-Lemeshow (HL) goodness-of-fit test. Decision curve analysis (DCA) was performed to evaluate its clinical application.
resultsA total of 494 patients were finally included in the study with a mean age of 70.8 years old. 417 (84.4%) patients were in the survivor group and 77 (15.6%) patients were in the non-survivor group. Multivariate logistic regression analysis based on AIC included age, pO
conclusionThe nomogram developed in this study could help clinicians to stratify AECOPD patients and provide appropriate care in clinical setting.
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