Incidence, predictors and validation of risk scores to predict postoperative mortality after noncardiac vascular surgery, a prospective cohort study
| Autor: | Ana Isabel Lopes, Leonor Mendes, Diana Leite, Joao Moreira, Tânia Amaral, Fernando Abelha, Sofia Ferraz, Pedro A. Reis |
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| Rok vydání: | 2019 |
| Předmět: |
Male
medicine.medical_specialty Myocardial Infarction Comorbidity Risk Assessment 03 medical and health sciences 0302 clinical medicine Postoperative Complications Predictive Value of Tests Risk Factors Internal medicine medicine Odds Ratio Humans Myocardial infarction Prospective Studies Prospective cohort study Aged business.industry Incidence (epidemiology) Incidence Reproducibility of Results General Medicine Perioperative Odds ratio Vascular surgery Acute Kidney Injury Middle Aged medicine.disease Confidence interval Logistic Models Elective Surgical Procedures 030220 oncology & carcinogenesis 030211 gastroenterology & hepatology Surgery Female Morbidity business Vascular Surgical Procedures Kidney disease |
| Zdroj: | International journal of surgery (London, England). 73 |
| ISSN: | 1743-9159 |
| Popis: | Noncardiac vascular surgery (VS) patients have comorbidities that increase the risk of death after surgery. Assessing that risk is important to allocate the necessary resources and improve quality of care. We aimed to evaluate the incidence and predictors of 30-day post-operative mortality (POM) after VS and compare the performance of existing risk scores.Prospective cohort study including consecutive patients submitted to elective VS at a tertiary university hospital. We collected patients' demographics/perioperative data and calculated Surgical Apgar, age-adjusted Charlson Comorbidity Index (CCI), Vascular-Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (V-POSSUM) and Preoperative Score to Predict Postoperative Mortality (POSPOM). We performed multivariate logistic regression to assess independent factors with Odds Ratio (OR) and 95% confidence interval (CI) calculation and Cox-regression for time-to-event analysis. We tested the predictive ability of the scores using the area under ROC curve (AUROC).POM was 6.2% (n = 19/306), not different from expected by V-POSSUM (6.5%) or POSPOM (5.6%). Post-operative myocardial infarction (MI) and acute kidney injury (AKI) were associated with higher POM (OR 4.8, p = 0.011 and OR 5.4, p = 0.001, respectively). On multivariate analysis, Chronic kidney disease (CKD) (OR 4.0, p = 0.021), Age (OR 1.1, p = 0.002), Peripheral arterial disease (PAD) (OR 8.0, p = 0.006), intra-operative red blood cells (RBC) Transfusion (OR 1.9, p 0.001) and Atrial fibrillation (OR 8.4, p = 0.002) were considered independent predictors of POM (CAPTA score). The AUROC of our model was 0.882, better V-POSSUM (0.858), POSPOM (0.784), CCI (0.732) or Surgical Apgar (0.649).Observed POM was similar to predicted by V-POSSUM or POSPOM. Age, PAD, CKD, atrial fibrillation and intraoperative RBC transfusion were independent risk factors for POM. Score V-POSSUM performed better than POSPOM, CCI or Surgical Apgar. |
| Databáze: | OpenAIRE |
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