ArticlePeerJ2021
Development and validation of a nomogram to predict the mortality risk in elderly patients with ARF.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Construction and validation of a prediction model for short-term mortality risk in elderly patients with sepsis: a retrospective study.BMC infectious diseases · 2025Article
- The red blood cell distribution width to albumin ratio was a potential prognostic biomarker for acute respiratory failure: a retrospective study.BMC medical informatics and decision making · 2024Article
- Development of a prognostic nomogram for sepsis associated-acute respiratory failure patients on 30-day mortality in intensive care units: a retrospective cohort study.BMC pulmonary medicine · 2023Article
- Development, validation, and visualization of a web-based nomogram to predict 5-year mortality risk in older adults with hypertension.BMC geriatrics · 2022Article
- Vincristine Promotes Transdifferentiation of Fibroblasts Into MyofibroblastsFrontiers in pharmacology · 2022Article
- Article
- A novel nomogram for predicting 3-year mortality in critically ill patients after coronary artery bypass grafting.BMC surgery · 2021Article
- Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute respiratory failure (ARF) is a life-threatening complication in elderly patients. We developed a nomogram model to explore the risk factors of prognosis and the short-term mortality in elderly patients with ARF.
methodsA total of 759 patients from MIMIC-III database were categorized into the training set and 673 patients from our hospital were categorized into the validation set. Demographical, laboratory variables, SOFA score and APS-III score were collected within the first 24 h after the ICU admission. A 30-day follow-up was performed for all patients.
resultsMultivariate logistic regression analysis showed that the heart rate, respiratoryrate, systolic pressure, SPO
conclusionOur nomogram performed better than APS-III and SOFA scores and should be useful as decision support on the prediction of mortality risk in elderly patients with ARF.
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