Ex vivo dissection increases lymph node yield in oesophagogastric cancer.

BACKGROUND: Retrieval and analysis of an adequate number of lymph nodes is critical for accurate staging of oesophageal and gastric cancer. Higher total node counts reported by pathologists are associated with improved survival. A prospective study was undertaken to understand the factors contributing to variability in lymph node counts after oesophagogastric cancer resections and to determine whether a novel strategy of ex vivo dissection of resected specimens into nodal stations improves node counts reported by pathologists. METHODS: The study involved 88 patients with potentially curable oesophagogastric cancer undergoing radical resection. Lymph node counts were obtained from pathology reports and analysed in relation to multiple variables including the introduction of ex vivo dissection of nodal stations in theatre. RESULTS: Higher lymph node counts were obtained with ex vivo dissection of nodal stations (median 19 versus 8, P < 0.01). Node counts also varied significantly with the reporting pathologist (median range 4 to 48, P = 0.02) which was independent of the level of experience of the pathologist (P = 0.67). Node counts were not affected by patient age (P = 0.26), gender (P = 0.50), operative approach (P = 0.50) or neoadjuvant therapy (P = 0.83). CONCLUSIONS: Specimen handling is a significant factor in determining lymph node yield following radical oesophageal and gastric cancer resections. Ex vivo dissection of resected specimens into nodal stations improves node counts without alterations to surgical techniques. Ex vivo dissection should be considered routine.

Predictors of readmission after elective coronary artery bypass graft surgery.

OBJECTIVE: We sought to examine potential predictors of readmission after coronary artery bypass graft (CABG) surgery. DESIGN/SETTING: We analysed routinely collected data of CABG patients who have used the public hospital system of Victoria, Australia from July 1998 to June 2003. In total, 6,627 patients were selected by linking records of elective surgery waiting time data (Elective Surgery Information System), emergency department data (Victorian Emergency Minimum Dataset) and hospital discharge data (Victorian Admitted Episodes Dataset). MEASUREMENTS: The outcome measures were 7-day, 30-day and 6-month readmissions. Possible predictors included were age, gender, Charlson comorbidity index, waiting times, length of stay in the hospital, and frequency of emergency department (ED) visits before CABG surgery. RESULTS: 7.1%, 15.2%, and 32.3% of the study population were readmitted at 7 days, 30 days and 6 months respectively. In a multivariable regression model Charlson comorbidity index was associated with 30-day (OR = 1.18; 95% CI 1.11-1.24; P < 0.01) and 6-month readmission (OR = 1.20; 95% CI 1.15-1.26; P < 0.01). Multiple ED visits were associated with 7 day (OR = 1.75; 95% CI 1.28-2.38; P < 0.01), 30 day (OR = 1.53; 95% CI 1.22-1.93; P < 0.01) and 6 month (OR = 1.80; 95% CI 1.49-2.18; P < 0.01) readmission. Waiting time was not a statistically significant predictor of readmission.