The Introduction of Laparoscopic Colorectal Surgery: Can It Improve Hospital Economics?

Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a retrospective study

Aims

As people's standard of living improves, the incidence of colorectal cancer is increasing, and colorectal cancer hospitalization costs are relatively high. Therefore, predicting the cost of hospitalization for colorectal cancer patients can provide guidance for controlling healthcare costs and for the development of related policies.

Methods

This study used the first page of medical record data on colorectal cancer inpatient cases of a tertiary first-class hospital in Shenzhen from 2018 to 2022. The impacting factors of hospitalization costs for colorectal cancer were analyzed. Random forest and support vector regression models were used to establish predictive models of the cost of hospitalization for colorectal cancer patients and to compare and evaluate.

Results

In colorectal cancer inpatients, major procedures, length of stay, level of procedure, Charlson comorbidity index, age, and medical payment method were the important influencing factors. In terms of the test set, the R2 of the Random forest model was 0.833, the R2 of the Support vector regression model was 0.824; the root mean square error (RMSE) of the Random forest model was 0.029, and the RMSE of the Support vector regression model was 0.032. In the Random Forest model, the weight of the major procedure was the highest (0.286).

Conclusion

Major procedures and length of stay have the greatest impacts on hospital costs for colorectal cancer patients. The random forest model is a better method to predict the hospitalization costs for colorectal cancer patients than the support vector regression.

Safety and feasibility of robotic surgery for old rectal cancer patients

Robotic surgery is widely utilized for rectal cancer. Older patients are associated with comorbidity and diminished cardiopulmonary reserve, resulting in uncertainty and reluctance to perform robotic surgery in older patients. The aim of the study was to assess the safety and feasibility of robotic surgery in older rectal cancer patients. We collected the data of patients diagnosed with rectal cancer and operated at our hospital from May 2015 to January 2021. All patients undergoing robotic surgery were classified into two groups: the old group (≥ 70 years) and young group (< 70 years). Perioperative outcomes were analyzed and compared between the two groups. Risk factors related to postoperative complications were also explored. A total of old N = 114 and young N = 324 rectal patients were enrolled in our study. Older patients were prone to exhibit comorbidity than the young and had lower body mass index and higher scores of American Society of Anesthesiologists than the young. No statistical difference was found in operative time, estimated blood loss, lymph nodes retrieved, tumor size, pathological TNM stage, hospital stay after surgery and total hospital cost between the two groups. The incidence of postoperative complications did not show difference between the two groups. On multivariate analyses, male sex and longer operative time could predict postoperative complications, whereas old age was not an independent factor for postoperative complications. After careful preoperative evaluation, robotic surgery is a technically feasible and safe procedure for older rectal cancer patients.

Laparoscopic surgery reduced frequency of postoperative small bowel obstruction, and hospital stay compared with open surgery in a cohort of patients with colorectal cancer: a propensity score matching analysis

BACKGROUND

Laparoscopic surgery (LS) is reported to reduce postoperative complications and hospital stay compared with open surgery (OP). Because patient selection may have been biased in previous studies, propensity score matching (PSM) analysis was used in this study to test the benefits of LS compared with OP.

METHODS

A total of 759 patients with stage I-III colorectal cancer undergoing curative surgery were retrospectively reviewed. To minimize confounding bias between LS and OP groups, a 1:1 PSM analysis was performed based on adjuvant chemotherapy, age, albumin, body mass index, American Society of Anesthesiologists physical status depth of tumor, gender, lymph node dissection, maximum tumor size, obstructive tumor, previous abdominal surgery, pathological stage, tumor differentiation, and tumor location. Statistical analyses including chi-square test, Mann-Whitney U test, univariate analyses and Kaplan-Meier method and log-rank test were performed using the data after PSM to investigate the benefits of LS compared with OP.

RESULTS

After PSM analysis, 460 patients remained in the study. The LS group had lower intraoperative blood loss (34 ± 70 vs 237 ± 391, mL; P < 0.001), lower frequency of postoperative small bowel obstruction (SBO) (17/213 vs 30/230; P = 0.045), lower rate of nasogastric tube insertion (7/223 vs 17/213; P = 0.036), and shorter postoperative hospital stay (13 ± 10 vs 25 ± 47, day; P < 0.001) than the OP group. Univariate analyses showed that LS significantly reduced the risk of postoperative SBO (odds ratio [OR] 0.532; 95% confidence interval [CI] 0.285-0.995; P = 0.048) and nasogastric tube insertion (OR 0.393; 95% CI 0.160-0.967; P = 0.042) compared with OP. There were no significant differences in OS and RFS between the groups.

CONCLUSIONS

LS reduced intraoperative blood loss, frequency of postoperative SBO, rate of nasogastric tube insertion, and postoperative hospital stay compared with OP.