Observational studyMedicine2019
Predicting in-hospital death in patients with type B acute aortic dissection.
Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic factors and prediction models for acute aortic dissection: a systematic review.BMJ open · 2021Pooled it
- Retrospective cohort development and internal validation of a prediction model for 30-day mortality after TEVAR in type B aortic dissection.International journal of surgery (London, England) · 2026Article
- Predicting adverse events after thoracic endovascular aortic repair for patients with type B aortic dissection.Scientific reports · 2024Article
- A prediction model to predict in-hospital mortality in patients with acute type B aortic dissection.BMC cardiovascular disorders · 2023Article
- Article
- Early Prediction Model of Acute Aortic Syndrome Mortality in Emergency Departments.International journal of general medicine · 2022Article
- Prognostic dynamic nomogram integrated with metabolic acidosis for in-hospital mortality and organ malperfusion in acute type B aortic dissection patients undergoing thoracic endovascular aortic repair.BMC cardiovascular disorders · 2021Article
- Impact of Hypertension History and Blood Pressure at Presentation on Cardiac Remodeling and Mortality in Aortic Dissection.Frontiers in cardiovascular medicine · 2021Article
- Serum amyloid a protein as a potential biomarker in predicting acute onset and association with in-hospital death in acute aortic dissection.BMC cardiovascular disorders · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The outcome of patients with acute type B aortic dissection (BAAD) is largely dictated by whether or not the case is "complicated." The purpose of this study was to investigate the risk factors leading to in-hospital death among patients with BAAD and then to develop a predictive model to estimate individual risk of in-hospital death.A total of 188 patients with BAAD were enrolled. Risk factors for in-hospital death were investigated with univariate and multivariable logistic regression analysis. Significant risk factors were used to develop a predictive model.The in-hospital mortality rate was 9% (17 of 188 patients). Univariate analysis revealed 7 risk factors to be statistically significant predictors of in-hospital death (P < .1). In multivariable analysis, the following variables at admission were independently associated with increased in-hospital mortality: hypotension (odds ratio [OR], 4.85; 95% confidence interval [CI], 1.12-18.90; P = .04), ischemic complications (OR, 8.24; 95% CI, 1.25-33.85; P < .001), renal dysfunction (OR, 12.32; 95% CI, 10.63-76.66; P < .001), and neutrophil percentage ≥80% (OR, 5.76; 95% CI, 2.58-12.56; P = .03). Based on these multivariable results, a reliable and simple prediction model was developed, a total score of 4 offered the best point value.Independent risk factors associated with in-hospital death can be predicted in BAAD patients. The prediction model could be used to identify the prognosis for BAAD patients and assist physicians in their choice of management.
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