M. G. Huisman

Timed Up & Go: A Screening Tool for Predicting 30-Day Morbidity in Onco-Geriatric Surgical Patients? A Multicenter Cohort Study

Objective To determine the predictive value of the “Timed Up & Go” (TUG), a validated assessment tool, on a prospective cohort study and to compare these findings to the ASA classification, an instrument commonly used for quantifying patients’ physical status and anesthetic risk. Background In the onco-geriatric surgical population it is important to identify patients at increased risk of adverse post-operative outcome to minimize the risk of over- and under-treatment and improve outcome in this population. Methods 263 patients ≥70 years undergoing elective surgery for solid tumors were prospectively recruited. Primary endpoint was 30-day morbidity. Pre-operatively TUG was administered and ASA-classification was registered. Data were analyzed using multivariable logistic regression analyses to estimate odds ratios (OR) and 95% confidence intervals (95%-CI). Absolute risks and area under the receiver operating characteristic curves (AUC’s) were calculated. Results 164 (62.4%) patients (median age: 76) underwent major surgery. 50 (19.5%) patients experienced major complications. 50.0% of patients with high TUG and 24.8% of patients with ASA≥3 experienced major complications (absolute risks). TUG and ASA were independent predictors of the occurrence of major complications (TUG:OR 3.43; 95%-CI = 1.13–10.36. ASA1 vs. 2:OR 5.67; 95%-CI = 0.86–37.32. ASA1 vs. 3&4:OR 11.75; 95%-CI = 1.62–85.11). AUCTUG was 0.66 (95%-CI = 0.57–0.75, p<0.001) and AUCASA was 0.58 (95%-CI = 0.49–0.67, p = 0.09). Conclusions Twice as many onco-geriatric patients at risk of post-operative complications, who might benefit from pre-operative interventions, are identified using TUG than when using ASA.

Screening for predictors of adverse outcome in onco-geriatric surgical patients: A multicenter prospective cohort study

AIMS The aim of this study was to investigate the predictive ability of screening tools regarding the occurrence of major postoperative complications in onco-geriatric surgical patients and to propose a scoring system. METHODS 328 patients ≥ 70 years undergoing surgery for solid tumors were prospectively recruited. Preoperatively, twelve screening tools were administered. Primary endpoint was the incidence of major complications within 30 days. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated using logistic regression. A scoring system was derived from multivariate logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was applied to evaluate model performance. RESULTS At a median age of 76 years, 61 patients (18.6%) experienced major complications. In multivariate analysis, Timed Up and Go (TUG), ASA-classification and Nutritional Risk Screening (NRS) were predictors of major complications (TUG>20 OR 3.1, 95% CI 1.1-8.6; ASA ≥ 3 OR 2.8, 95% CI 1.2-6.3; NRS impaired OR 3.3, 95% CI 1.6-6.8). The scoring system, including TUG, ASA, NRS, gender and type of surgery, showed good accuracy (AUC: 0.81, 95% CI 0.75-0.86). The negative predictive value with a cut-off point >8 was 93.8% and the positive predictive value was 40.3%. CONCLUSIONS A substantial number of patients experience major postoperative complications. TUG, ASA and NRS are screening tools predictive of the occurrence of major postoperative complications and, together with gender and type of surgery, compose a good scoring system.

Surgery in Older Cancer Patients – Recent Results and New Techniques: Worth the Investment?

Recent developments in oncogeriatric surgery focus on several items - preoperative risk estimation and identification of frail patients and optimalization of perioperative care. New screening tools are being evaluated and show promising results. There is increasing evidence that preoperative training of frail patients might decrease the rate of postoperative complications and increase survival. The recent trend towards individualized treatment schemes will certainly be of benefit for the elderly population. More tools are becoming available to answer the most difficult question of all, namely whether surgery is the optimal treatment in this individual frail elderly oncogeriatric patient.