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Background: Postoperative delirium (POD) is a common complication in older adults, with unknown epidemiology and effects on surgical outcomes in Asian geriatric cancer patients. This study evaluated incidence, risk factors, and association between adverse surgical outcomes and POD after intra-abdominal cancer surgery in Taiwan. Methods: Overall, 345 patients aged ≥65 years who underwent elective abdominal cancer surgery at a medical center in Taiwan were prospectively enrolled. Delirium was assessed daily using the Confusion Assessment Method. Univariate and multivariate logistic regression analyses investigated risk factors for POD occurrence and estimated the association with adverse surgical outcomes. Results: POD occurred in 19 (5.5%) of the 345 patients. Age ≥73 years, Charlson comorbidity index ≥3, and operative time >428 min were independent predictors for POD occurrence. Patients presenting with one, two, and three risk factors had 4.1-fold (95% confidence interval [CI], 0.4–35.8, p = 0.20), 17.4-fold (95% CI, 2.2–138, p = 0.007), and 30.8-fold likelihood (95% CI, 2.9–321, p = 0.004) for POD occurrence, respectively. Patients with POD had a higher probability of prolonged hospital stay (adjusted odds ratio [OR] 2.8; 95% CI, 1.0–8.1; p = 0.037), intensive care stay (adjusted OR: 3.9; 95% CI, 1.5–10.5; p = 0.008), 30-day readmission (adjusted OR 3.1; 95% CI, 1.1–9.7; p = 0.039), and 90-day postoperative death (adjusted OR: 4.2; 95% CI, 1.0–17.7; p = 0.041). Conclusion: POD occurrence was significantly associated with adverse surgical outcomes in geriatric patients undergoing elective abdominal cancer surgery, highlighting the importance of early POD identification in geriatric patients to improve postoperative care quality.

Summary: Background: Radical gastrectomy and extended lymph node (D2) dissection followed by adjuvant chemotherapy is the optimal treatment for patients with stage III gastric cancer in Asian population. The clinical factors associated with patient propensity to receive adjuvant chemotherapy and outcomes were analyzed. Methods: In total, 509 patients with stage III gastric cancer who had undergone D2 surgery between 2007 and 2017 at a single medical center in Taiwan were analyzed. The patients' preoperative clinical characteristics relevant to adjuvant chemotherapy adherence were analyzed using multivariate regression. Significant variables were analyzed using recursive partitioning analysis (RPA) for identifying specific patient groups with the lowest and highest probabilities of adjuvant chemotherapy adherence. Results: After surgery, 361 (70.9%) patients in the cohort had received adjuvant chemotherapy. All patients were categorized into five probability groups with adherence to adjuvant chemotherapy according to age, Eastern Cooperative Oncology Group (ECOG) performance status grade, and American Society of Anesthesiologists (ASA) class, which were discovered to be independent factors in the RPA-based probability prediction. In general, adjuvant chemotherapy improved survival across broad categories of stage III gastric cancer patients (overall survival hazard ratio: 0.53–0.75 and disease-free survival hazard ratio: 0.47–0.76). Conclusions: Our study identified that age, ECOG grade, and ASA class were independent clinical factors associated with patient propensity to receive adjuvant chemotherapy in stage III gastric cancer. Knowledge of the clinical factors of patients may help clinicians identify and encourage specific patients to receive the adjuvant chemotherapy. Keywords: Stage III gastric cancer, Adjuvant chemotherapy, Clinical factors, Survival outcome

Summary: Background: Determining the survival outcome for gastric cancer patients with metastases to more than 15 regional lymph nodes is difficult. This study aims to develop a lymph node metastatic ratio (LNR)-based prognostic model to predict the survival outcome after D2 surgery in such patient groups. Methods: Our study retrospectively enrolled 139 gastric cancer patients with metastases to more than 15 regional lymph nodes who underwent D2 surgery between 2007 and 2014. Clinicopathologic variables to predict overall survival (OS) using multivariate Cox regression were selected to create a prognostic model. Results: The prognostic model for predicting OS was developed based on five independent factors, namely, T-classification (T2 or T3 vs. T4), LNR (

Summary: Background: Given the global increase in aging populations and cancer incidence, understanding the influence of age on postoperative outcome after cancer surgery is imperative. This study aimed to evaluate the impact of age on survival outcome in solid cancer patients receiving curative surgery. Methods: A total of 37,288 patients receiving curative surgeries for solid cancers between 2007 and 2012 at four affiliated Chang Gung Memorial Hospital were included in the study. All patients were categorized into age groups by decades for survival analysis. Results: The percentages of patient populations aged