ArticleFrontiers in neurology2023
Development and external validation of a nomogram for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for postoperative pulmonary complications: a systematic review and meta-analysis.British journal of anaesthesia · 2025Pooled it
- Risk factors for postoperative pneumonia following intracranial aneurysm surgery: a propensity score matching analysis.Perioperative medicine (London, England) · 2026Article
- Constructing a nomogram for short-term prognosis in postoperative patients with aneurysmal subarachnoid hemorrhage: a two-center retrospective study.Scientific reports · 2025Article
- Association between albumin to Globulin ratio and pneumonia in patients with aneurysmal subarachnoid hemorrhage.Scientific reports · 2025Article
- Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk.Scientific reports · 2025Article
- The prognostic significance of uric acid to albumin ratio in patients with aneurysmal subarachnoid hemorrhage following surgical clipping or endovascular interventions: insights from a large cohort study.Frontiers in neurology · 2025Article
- The correlation between inflammatory markers and postoperative pulmonary infection in patients with aneurysmal subarachnoid hemorrhage and the construction of prediction model.Frontiers in neurology · 2025Article
- Association between estimated pulse wave velocity and the risk of mortality in patients with subarachnoid hemorrhage: a retrospective cohort study based on the MIMIC database.BMC neurology · 2024Article
- Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.Neurosurgical review · 2024Article
- Development and performance assessment of novel machine learning models for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage patients: external validation in MIMIC-IV.Frontiers in neurology · 2024Article
- New grading scale based on early factors for predicting delayed cerebral ischemia in patients with aneurysmal subarachnoid hemorrhage: a multicenter retrospective study.Frontiers in neurology · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: Postoperative pneumonia (POP) is a common complication after aneurysmal subarachnoid hemorrhage (aSAH) associated with increased mortality rates, prolonged hospitalization, and high medical costs. It is currently understood that identifying pneumonia early and implementing aggressive treatment can significantly improve patients' outcomes. The primary objective of this study was to explore risk factors and develop a logistic regression model that assesses the risks of POP. Methods: An internal cohort of 613 inpatients with aSAH who underwent surgery at the Neurosurgical Department of First Affiliated Hospital of Wenzhou Medical University was retrospectively analyzed to develop a nomogram for predicting POP. We assessed the discriminative power, accuracy, and clinical validity of the predictions by using the area under the receiver operating characteristic curve (AUC), the calibration curve, and decision curve analysis (DCA). The final model was validated using an external validation set of 97 samples from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Results: Among patients in our internal cohort, 15.66% ( Conclusion: We found that GCS, MVT, albumin, CRP, smoking, and DCI are independent predictors for the development of POP in patients with aSAH. Overall, our nomogram represents a reliable and convenient approach to predict POP in the patient population.
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