Economic Impact of Routine Cavity Margins Versus Standard Partial Mastectomy in Breast Cancer Patients: Results of a Randomized Controlled Trial.

OBJECTIVE: The aim of the study was to compare costs associated with excision of routine cavity shave margins (CSM) versus standard partial mastectomy (PM) in patients with breast cancer. BACKGROUND: Excision of CSM reduces re-excision rates by more than 50%. The economic implications of this is, however, unclear. METHODS: Between October 21, 2011 and November 25, 2013, 235 women undergoing PM for Stage 0-III breast cancer were randomized to undergo either standard PM ("no shave", n = 116) or have additional CSM taken ("shave", n = 119). Costs from both a payer and a hospital perspective were measured for index surgery and breast cancer surgery-related care through subsequent 90 days. RESULTS: The 2 groups were well-matched in terms of baseline characteristics. Those in the "shave" group had a longer operative time at the initial surgery (median 76 vs 66 min, P < 0.01), but a lower re-excision rate for positive margins (13/119 = 10.9% vs 32/116 = 27.6%, P < 0.01). Actual direct hospital costs associated with operating room time ($1315 vs. $1137, P = 0.03) and pathology costs ($1195 vs $795, P < 0.01) were greater for the initial surgery in patients in the "shave" group. Taking into account the index surgery and the subsequent 90 days, there was no significant difference in cost from either the payer ($10,476 vs $11,219, P = 0.40) or hospital perspective ($5090 vs $5116, P = 0.37) between the "shave" and "no shave" groups. CONCLUSIONS: Overall costs were not significantly different between the "shave" and "no shave" groups due to significantly fewer reoperative surgeries in the former.

A Clinical Care Pathway to Reduce ICU Usage in Head and Neck Microvascular Reconstruction.

OBJECTIVE: To design and implement a postoperative clinical care pathway designed to reduce intensive care usage on length of stay, readmission rates, and surgical complications in head and neck free flap patients. METHODS: A postoperative clinical care pathway detailing timelines for patient care was developed by a multispecialty team. In total, 108 matched patients receiving free tissue transfer for reconstruction of head and neck defects in the year before (prepathway), year after (early pathway), and second year after (late pathway) pathway implementation were compared based on postoperative length of stay, 30-day readmission rate, intensive care unit (ICU) admission, and rates of medical/surgical complications. RESULTS: Median length of stay decreased from 10 to 7.5 and 7 days in the pre-, early, and late-pathway groups, respectively ( P = .012). Readmission rate decreased from 16% in the prepathway group to 0% and 3% in the early and late-pathway groups. The number of patients admitted to the ICU postoperatively decreased from 100% to 36% and 6% in the pre-, early, and late-pathway groups, respectively ( P = .025). The rates of surgical and medical complications were equivalent. DISCUSSION: This pathway effectively reduced ICU admission, length of stay, and readmission rates, without increasing postoperative complications. These outcomes were sustainable over 2 years. IMPLICATIONS FOR PRACTICE: Free flap patients may not require routine ICU admission and may be taken off ventilatory support in the operating room. This effectively reduces costly resource use in this patient population. Similar pathways could be introduced at other institutions.

Development of Imminent Mortality Predictor for Advanced Cancer (IMPAC), a Tool to Predict Short-Term Mortality in Hospitalized Patients With Advanced Cancer.

PURPOSE: End-of-life care for patients with advanced cancer is aggressive and costly. Oncologists inconsistently estimate life expectancy and address goals of care. Currently available prognostication tools are based on subjective clinical assessment. An objective prognostic tool could help oncologists and patients decide on a realistic plan for end-of-life care. We developed a predictive model (Imminent Mortality Predictor in Advanced Cancer [IMPAC]) for short-term mortality in hospitalized patients with advanced cancer. METHODS: Electronic health record data from 669 patients with advanced cancer who were discharged from Yale Cancer Center/Smilow Cancer Hospital were extracted. Statistical learning techniques were used to develop a tool to estimate survival probabilities. Patients were randomly split into training (70%) and validation (30%) sets 20 times. We tested the predictive properties of IMPAC for mortality at 30, 60, 90, and 180 days past the day of admission. RESULTS: For mortality within 90 days at a 40% sensitivity level, IMPAC has close to 60% positive predictive value. Patients estimated to have a greater than 50% chance of death within 90 days had a median survival time of 47 days. Patients estimated to have a less than 50% chance of death had a median survival of 290 days. Area under the receiver operating characteristic curve for IMPAC averaged greater than .70 for all time horizons tested. Estimated potential cost savings per patient was $15,413 (95% CI, $9,162 to $21,665) in 2014 constant dollars. CONCLUSION: IMPAC, a novel prognostic tool, can generate life expectancy probabilities in real time and support oncologists in counseling patients about end-of-life care. Potentially avoidable costs are significant.