Body Mass Index and Long-Term Outcomes in Patients With Colorectal Cancer

Background: The association between body mass index (BMI) and colorectal cancer is unique. There are several patient- and tumor-related factors that affect this and associations are not entirely clear. The primary aim of this study is to examine the association between BMI and survival after colorectal cancer diagnosis.Methods: Among 26,908 Mayo Clinic patients diagnosed with colorectal cancer between 1972 and 2017, 3,799 patients had information on BMI within 6 months prior to cancer diagnosis. Multivariable Cox regression models were used to assess the differences in overall survival between BMI groups in each cancer stage, controlling for age, gender, year of diagnosis, and cancer location. The impact of change of BMI at 30, 60, and 90 days on survival afterwards were also analyzed.Results: Among 3,799 patients included in the study, there were 29% normal weight, 2% underweight, 36% overweight, and 33% obese patients. With all stages combined together, the overall 5-years survival rates for underweight, normal weight, overweight, and obese patients were 33, 56, 60, and 65%, respectively (p < 0.001). The results show that, the difference in overall survival was not statistically significant when underweight, overweight, and obese patients were compared to normal weight patients in stage 1 and stage 2, although there was a trend that overweight patients had better survival than normal weight group in stage 2 cancer patients (HR = 0.8, p = 0.086). In stage 3 and 4 patients combined, underweight group demonstrated a significant disadvantage (HR = 1.96, p = 0.007) for overall survival compared to the normal weight group. Additionally, post-diagnosis BMI drop more than 10% from either a previous time (HR = 1.88, p = 0.002) or pre-diagnosis time (HR = 1.61, p < 0.001) was associated with worse overall survival after adjusting for baseline variables.Conclusions: BMI is an important consideration in patients with colorectal cancer. Outcomes are stage-dependent where in some situations obesity maybe an advantage. More importantly, being underweight is a significant negative predictor of outcome. The impact of drop in BMI or weight, on survival of CRC patients, needs to be studied further since this is potentially an actionable variable and a dynamic biomarker that may help improve outcome in these patients

Colorectal Cancer Characteristics and Outcomes after Solid Organ Transplantation

Background. Individuals after solid organ transplant may develop secondary malignancies. In our clinical practice, we noted an increasing number of individuals who developed colorectal cancers after solid organ transplantation. The primary aim of this study was to describe the characteristics and outcomes of the patients who developed colorectal cancer after solid organ transplant. Materials and Methods. Data was gathered and merged from several registries at Mayo Clinic to identify all patients who received a diagnosis of colon or rectal cancer and solid organ transplant. Continuous variables were summarized as mean (standard deviation) and median (range), while categorical variables were reported as frequency (percentage). Time to colorectal cancer after transplant and overall survival after cancer diagnosis were estimated using Kaplan-Meier method. Results. Initially, 115 colorectal cancer patients who also had a transplant were identified. The diagnosis of colorectal cancer was noted after solid organ transplant in 63 patients. The mean age at transplant was 57 years. Majority had received a kidney transplant (44.4%) followed by liver (36.5%). The median time to develop colorectal cancer was 59.3 months (range: 4.4-251.4 months). 15 (24.6%) were stage 4 at diagnosis and 13 (21.3%) had stage 3 colorectal cancer. Median overall survival was 30.8 months; 5-, 10- and 15-year survival were noted to be 42.5%, 17.9%, and 7.5%, respectively. None of the stage 4 patients were alive at 5 years; 5-year survival rate for stage 1, 2, and 3 patients was 77%, 50%, and 42%, respectively. Conclusions. Our study reports on one of the largest cohorts of patients of colorectal cancer that developed the cancer after solid organ transplant. Survival is extremely poor for advanced cases. However, long-term survivors are noted who developed the cancer at a relatively early stage. Colorectal screening recommendations may need to be revised for patients after solid organ transplant

Hospital robotic use for colorectal cancer care

The use of robotic surgery for colorectal cancer continues to increase. However, not all organizations offer patients the option of robotic intervention. This study seeks to understand organizational characteristics associated with the utilization of robotic surgery for colorectal cancer. We conducted a retrospective study of hospitals identified in the United States, State of Florida Inpatient Discharge Dataset, and linked data for those hospitals with the American Hospital Association Survey, Area Health Resource File and the Health Community Health Assessment Resource Tool Set. The study population included all robotic surgeries for colorectal cancer patients in 159 hospitals from 2013 to 2015. Logistic regressions identifying organizational, community, and combined community and organizational variables were utilized to determine associations. Results indicate that neither hospital competition nor disease burden in the community was associated with increased odds of robotic surgery use. However, per capita income (OR 1.07 95% CI 1.02, 1.12), average total margin (OR 1.01, 95% CI 1.001, 1.02) and large-sized hospitals compared to small hospitals (OR: 5.26, 95% CI 1.13, 24.44) were associated with increased odds of robotic use. This study found that market conditions within the U.S. State of Florida are not primary drivers of hospital use of robotic surgery. The ability for the population to pay for such services, and the hospital resources available to absorb the expense of purchasing the required equipment, appear to be more influential

Use of a Simulation-based Advanced Resuscitation Training Curriculum: Impact on Cardiopulmonary Resuscitation Quality and Patient Outcomes

Background: Despite a continued focus on improved cardiopulmonary resuscitation quality, survival remains low from in-hospital cardiac arrest. Advanced Resuscitation Training has been shown to improve survival to hospital discharge and survival with good neurological outcome following in-hospital cardiac arrest at its home institution. We sought to determine if Advanced Resuscitation Training implementation would improve patient outcomes and cardiopulmonary resuscitation quality at our institution. Methods: This was a prospective, before–after study of adult in-hospital cardiac arrest victims who had cardiopulmonary resuscitation performed. During phase 1, standard institution cardiopulmonary resuscitation training was provided. During phase 2, providers received the same quantity of training, but with emphasis on Advanced Resuscitation Training principles. Primary outcomes were return of spontaneous circulation, survival to hospital discharge, and neurologically favorable survival. Secondary outcomes were cardiopulmonary resuscitation quality parameters. Results: A total of 156 adult in-hospital cardiac arrests occurred during the study period. Rates of return of spontaneous circulation improved from 58.1 to 86.3% with an adjusted odds ratios of 5.31 (95% CI: 2.23–14.35, P \u3c 0.001). Survival to discharge increased from 26.7 to 41.2%, adjusted odds ratios 2.17 (95% CI: 1.02–4.67, P \u3c 0.05). Survival with a good neurological outcome increased from 24.8 to 35.3%, but was not statistically significant. Target chest compression rate increased from 30.4% of patients in P1 to 65.6% in P2, adjusted odds ratios 4.27 (95% CI: 1.72–11.12, P = 0.002), and target depth increased from 23.2% in P1 to 46.9% in P2, adjusted odds ratios 2.92 (95% CI: 1.16–7.54, P = 0.024). Conclusions: After Advanced Resuscitation Training implementation, there were significant improvements in cardiopulmonary resuscitation quality and rates of return of spontaneous circulation and survival to discharge