ArticleEuropean geriatric medicine2018
Addition of clinical risk scores improves prediction performance of American Society of Anesthesiologists (ASA) physical status classification for postoperative mortality in older patients: a pilot study.
Article in European geriatric medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery.The Cochrane database of systematic reviews · 2021Pooled it
- Predictive Factors for 24-h Survival After Perioperative Cardiopulmonary Resuscitation: Single-Center Retrospective Cohort Study.Journal of clinical medicine · 2025Article
- Comparison of Prognostic Value of 10 Biochemical Indices at Admission for Prediction Postoperative Myocardial Injury and Hospital Mortality in Patients with Osteoporotic Hip Fracture.Journal of clinical medicine · 2022Article
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7 authors.
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Abstract
purposeMany methods for preoperative risk stratifications used in everyday practice do not take into account all of the comorbidities and complex physiological status of older patients. Therefore, anaesthesiologists and surgeons must consider multiple ways of preoperative diagnostics. Determining which of the preoperative clinical risk scores [Revised Lee score, the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) calculator and Surgical Outcome Risk Tool (SORT)] best improves routinely used American Society of Anaesthesiologists (ASA) physical status classification.
methodsThe prospective pilot study included 78 patients who were being prepared for extensive non-cardiac surgeries under general anaesthesia. Preoperatively, anaesthesiologist determined ASA score according to guidelines. Then, the data of patients have been processed on the interactive calculators of Revised Lee score, ACS NSQIP and SORT.
resultsMean age of included patients was 71.4 ± 6.9 years. When it comes to postoperative mortality prediction, three risk scores (ASA, ACS NSQIP and SORT) have been statistically significant, respectively, P = 0.016, P < 0.0001, P < 0.0001. Results showed that AUC being higher in ACS NSQIP and SORT (0.813; 0.797). Out of all three additional risk scores, ACS NSQIP showed to add the most to the specificity and sensitivity of ASA score, with combined AUC = 0.841.
conclusionsACS NSQIP and SORT increase the accuracy of ASA score. Revised Lee score cannot be considered a good indicator of postoperative mortality risk since it is primarily the score which indicates risk for cardiovascular complications. Further studies, with a greater number of patients, are needed.
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