Trial reportBMC geriatrics2023
Development and validation of a nomogram model for prediction of stroke-associated pneumonia associated with intracerebral hemorrhage.
Trial report in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Association between stress hyperglycemia and pneumonia in patients with stroke: a systematic review and meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Development of risk prediction model for new-onset atrial fibrillation in elderly patients undergoing video-assisted thoracoscopic surgery: a retrospective cohort study.Journal of thoracic disease · 2026Article
- Article
- [Pathogen Profile and Risk Factors for Hospital-Acquired Infection in Stroke Patients].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- The Analysis of Risk Factors of Stroke-Associated Pneumonia in Patients with Acute Stroke Based on Lasso Regression and the Construction of a Nomogram Prediction Model.Infection and drug resistance · 2026Article
- Association of delayed swallow screening with stroke-associated pneumonia and in-hospital outcomes in acute stroke patients in the neurocritical care unit.Frontiers in medicine · 2026Article
- Electroacupuncture-Induced Phrenic Nerve Stimulation for Poststroke Pneumonia: A Propensity Score Matching Analysis.BioMed research international · 2026Article
- Prognostic Relevance of ACSL4 as a Serological Marker and Its Mediating Roles in Acute Supratentorial Intracerebral Hemorrhage: An Observational Analytical Study.International journal of general medicine · 2026Article
- Predicting stroke-associated infection in acute ischemic stroke patients treated by thrombolysis.Frontiers in cellular neuroscience · 2026Article
- Practicability of Activating Transcription Factor 3 as a Serological Marker for Severity Appraisal and Outcome Anticipation in Acute Supratentorial Intracerebral Hemorrhage: A Two-center Observational Analytical Study.Brain and behavior · 2025Observational
- Construction and verification of a risk prediction model for patients with kinesophobia after cerebral hemorrhage surgery.BMC neurology · 2025Article
- Influence of laboratory and radiographic parameters on the clinical presentation and outcome of surgically treated patients with primary brain abscesses.Acta neurochirurgica · 2025Article
- Construction of a prediction model for pneumonia in children undergoing neurosurgery based on regular clinical laboratory tests and baseline information.Frontiers in pediatrics · 2025Article
- Association between the atherogenic index of plasma and risk of large-artery atherosclerotic ischemic stroke.Frontiers in neurology · 2025Article
- Development and Validation of a Predictive Nomogram for Myelosuppression Risk in Chronic Hepatitis B Patients Treated with Peginterferon.Infection and drug resistance · 2025Article
- Predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage.European journal of neurology · 2025Article
- Serum Transcription Factor EB Levels in Relation to Poor Neurological Prognosis and Mediation Effect of Stroke-Associated Pneumonia in Acute Intracerebral Hemorrhage: Evidence from a Two-Center Prospective Cohort Study.International journal of general medicine · 2025Article
- Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning.Frontiers in neurology · 2025Article
- Influencing factors and prognosis in patients with spontaneous intracerebral hemorrhage combined with pulmonary infection running head: pulmonary infection in ICH patients.Frontiers in neurology · 2025Article
- A novel prediction method for intracerebral hemorrhage-associated pneumonia: A single center analysis.PloS one · 2025Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to establish risk factors for stroke-associated pneumonia (SAP) following intracerebral hemorrhage (ICH) and develop an efficient and convenient model to predict SAP in patients with ICH.
methodsOur study involved 1333 patients consecutively diagnosed with ICH and admitted to the Neurology Department of the First Affiliated Hospital of Wenzhou Medical University. The 1333 patients were randomly divided (3:1) into the derivation cohort (n = 1000) and validation Cohort (n = 333). Variables were screened from demographics, lifestyle-related factors, comorbidities, clinical symptoms, neuroimaging features, and laboratory tests. In the derivation cohort, we developed a prediction model with multivariable logistic regression analysis. In the validation cohort, we assessed the model performance and compared it to previously reported models. The area under the receiver operating characteristic curve (AUROC), GiViTI calibration belt, net reclassification index (NRI), integrated discrimination index (IDI) and decision curve analysis (DCA) were used to assess the prediction ability and the clinical decision-making ability.
resultsThe incidence of SAP was 19.9% and 19.8% in the derivation (n = 1000) and validation (n = 333) cohorts, respectively. We developed a nomogram prediction model including age (Odds Ratio [OR] 1.037, 95% confidence interval [CI] 1.020-1.054), male sex (OR 1.824, 95% CI 1.206-2.757), multilobar involvement (OR 1.851, 95% CI 1.160-2.954), extension into ventricles (OR 2.164, 95% CI 1.456-3.215), dysphagia (OR 3.626, 95% CI 2.297-5.725), disturbance of consciousness (OR 2.113, 95% CI 1.327-3.362) and total muscle strength of the worse side (OR 0.93, 95% CI 0.876-0.987). Compared with previous models, our model was well calibrated and showed significantly higher AUROC, better reclassification ability (improved NRI and IDI) and a positive net benefit for predicted probability thresholds between 10% and 73% in DCA.
conclusionsWe developed a simple, valid, and clinically useful model to predict SAP following ICH, with better predictive performance than previous models. It might be a promising tool to assess the individual risk of developing SAP for patients with ICH and optimize decision-making.
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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.