Surgical Site Infections in Colorectal Resections: What is the Cost?

Factors influencing surgical site infections and health economic evaluation in patients undergoing robot-assisted radical resection for colorectal cancer

AIMS

To investigate the incidence and factors influencing surgical site infections (SSIs) in patients undergoing robot-assisted radical resection for colorectal cancer and assess their health and economic impact on the patients and hospital.

MATERIALS AND METHODS

This retrospective case-controlled study comprised patients who underwent robot-assisted radical resection for colorectal cancer at a tertiary hospital in China. Information about baseline characteristics, perioperative details, postoperative SSI incidence, hospitalization costs, and follow-up was collected. Univariate and multivariate analyses were performed to identify the independent risk factors for SSI. Propensity score matching was used to evaluate the health and economic impacts of SSI on the patients and the hospital.

RESULTS

The overall incidence of colorectal SSI in 546 patients undergoing robot-assisted radical resection for colorectal cancer was 11.72% (64/546). Intraoperative blood loss, duration of operation, preoperative absolute lymphocyte count, preoperative and postoperative serum albumin levels, tumor location, gender, history of radiotherapy or chemotherapy, surgical wound classification, and preoperative hypoalbuminemia levels were associated with SSI. Rectal cancer, male gender, and class 3 or 4 surgical wounds were identified as independent risk factors for postoperative SSI. SSI prolonged the hospital stay by 6.60 days, increased the patient's direct costs by 31,669.88 CNY, increased the economic burden by 3,262.38 CNY, and caused an indirect economic loss of 50,546.79 CNY for the hospital.

CONCLUSIONS

Patients undergoing robot-assisted radical resection for colorectal cancer are at a high risk for SSI. SSI can prolong postoperative hospital stays and increase the economic burden for patients and hospitals.

Machine learning model predicting factors for incisional infection following right hemicolectomy for colon cancer

BACKGROUND AND AIM

Colorectal cancer is a prevalent malignancy worldwide, and right hemicolectomy is a common surgical procedure for its treatment. However, postoperative incisional infections remain a significant complication, leading to prolonged hospital stays, increased healthcare costs, and patient discomfort. Therefore, this study aims to utilize machine learning models, including random forest, support vector machine, deep learning models, and traditional logistic regression, to predict factors associated with incisional infection following right hemicolectomy for colon cancer.

METHODS

Clinical data were collected from 322 patients undergoing right hemicolectomy for colon cancer, including demographic information, preoperative chemotherapy status, body mass index (BMI), operative time, and other relevant variables. These data are divided into training and testing sets in a ratio of 7:3. Machine learning models, including random forest, support vector machine, and deep learning, were trained using the training set and evaluated using the testing set.

RESULTS

The deep learning model exhibited the highest performance in predicting incisional infection, followed by random forest and logistic regression models. Specifically, the deep learning model demonstrated higher area under the receiver operating characteristic curve (ROC-AUC) and F1 score compared to other models. These findings suggest the efficacy of machine learning models in predicting risk factors for incisional infection following right hemicolectomy for colon cancer.

CONCLUSIONS

Machine learning models, particularly deep learning models, offer a promising approach for predicting the risk of incisional infection following right hemicolectomy for colon cancer. These models can provide valuable decision support for clinicians, facilitating personalized treatment strategies and improving patient outcomes.

The Impact of Preoperative and Postoperative Nutritional Interventions on Treatment Outcomes and Quality of Life in Colorectal Cancer Patients-A Comprehensive Review

Colorectal cancer (CRC) is one of the most prevalent cancers worldwide, with high morbidity and mortality rates. Nutritional status has emerged as a significant factor influencing the prognosis and survival of CRC patients. This comprehensive literature review examines the role of nutritional support in improving treatment outcomes, including the efficacy of interventions, patient quality of life (QoL), and the modulation of inflammatory responses. The findings suggest that tailored nutritional interventions improve clinical outcomes, enhance QoL, and reduce treatment-related complications, particularly by attenuating inflammation. Furthermore, the review highlights the cost-effectiveness of nutritional strategies and identifies key methods to enhance patient compliance with dietary recommendations. In conclusion, integrating nutritional support into CRC treatment plans is crucial for optimizing clinical management and improving patient well-being.

Efficacy and safety of oral probiotic supplementation in mitigating postoperative surgical site infections in patients undergoing colorectal cancer surgery: A systematic review and meta-analysis

Surgical site infections (SSIs) pose significant risks to patients undergoing colorectal cancer (CRC) surgery. With increasing evidence on the benefits of oral probiotics in various clinical contexts, there is a need to assess their efficacy and safety in reducing SSIs following CRC surgery. A systematic review and meta-analysis were conducted in line with PRISMA guidelines using the PICO framework. On 19 September 2023, four major databases (PubMed, Embase, Web of Science and Cochrane Library) were searched without any temporal or language restrictions. Rigorous inclusion and exclusion criteria were employed. Data extraction was independently undertaken by two assessors, and any discrepancies were discussed. The Cochrane Collaboration's risk of bias instrument was utilized to assess study quality. The meta-analysis incorporated a fixed-effects model or random-effects model based on the I2 statistic to assess heterogeneity. The initial search yielded 1282 articles, of which 10 met the inclusion criteria and were analysed. Probiotic administration not only significantly reduced the incidence of SSIs but also curtailed the duration of hospital stays. Moreover, the subgroup analysis indicated that interventions employing multiple strains of probiotics were more effective in reducing postoperative infections than those utilizing a single strain. Probiotics effectively prevent postoperative infections and shorten hospital stays. Multi-strain probiotics outperform single strain in efficacy. Future studies should focus on their safety and optimal clinical use.

Colonic interposition in esophagectomy: an ACS-NSQIP study

INTRODUCTION

For patients with cancer or injury of the esophagus, esophagectomy with reconstruction using the stomach (gastric pull-up, GPU) or colon (colonic interposition, CI) can restore function but is associated with high morbidity. We sought to describe the differences in outcomes between the two replacement organs using a national database.

METHODS

From ACS-NSQIP, patients who underwent GPU or CI between 2006 and 2020 were identified. Univariate analyses were performed on length of stay, complications, reoperation, readmission, and mortality. Variables with P ≤ 0.2 were included in the multivariate regression. Primary outcomes were 30-day reoperation, readmission, and mortality. Data were assessed using Chi-squared tests and logistic regression.

RESULTS

There were 12,545 GPU and 502 CI patients. GPU patients were older with higher BMI, and more likely to be male (80.3% versus 70.3%, P < 0.0001) and white (77.8% versus 69.1%, P < 0.0001). More GPU patients had independent functional status and underlying bleeding disorders, but fewer other preoperative comorbidities than CI patients. On univariate analysis, CI patients had longer hospital stays (13 versus 10 days, P < 0.0001); more reoperations (23.9% versus 14.5%, P < 0.0001); a lower rate of discharge to home (70.9% versus 82.1%, P < 0.0001); and a higher mortality rate (6.2% versus 2.9%, P < 0.0001). On multivariate analysis, CI was associated with increased risk of reoperation but not with readmission or mortality. Reoperation was associated with CI, smoking, chronic wound, hypertension, higher ASA class, contaminated or dirty wound class, and longer operative time. Readmission was associated with female gender, hypertension, and longer operative time. Mortality was associated with age, metastatic cancer, preoperative sepsis, preoperative renal failure, malignant esophageal disease, higher ASA class, incomplete closure, and longer operative time.

CONCLUSION

Colonic interposition, although a more difficult option with traditionally worse outcomes, should still be considered for patients requiring esophagectomy if the stomach cannot be used to restore continuity, as differences in outcomes appear to be due to underlying frailty of patients rather than the procedure.

Risk factors analysis of surgical site infections in postoperative colorectal cancer: a nine-year retrospective study

BACKGROUND

Colorectal cancer (CRC) patients undergoing surgery are at a high risk of developing surgical site infections (SSIs), which contribute to increased morbidity, prolonged hospitalization, and escalated healthcare costs. Understanding the incidence, risk factors, and impact of SSIs is crucial for effective preventive strategies and improved patient outcomes.

METHODS

This retrospective study analyzed data from 431 CRC patients who underwent surgery at Huangshan Shoukang Hospital between 2014 and 2022. The clinical characteristics and demographic information were collected. The incidence and impact of SSIs were evaluated, and independent risk factors associated with SSIs were identified using multivariable logistic regresison. A nomogram plot was constructed to predict the likelihood of SSIs occurrence.

RESULTS

The overall incidence rate of SSIs was 7.65% (33/431). Patients with SSIs had significantly longer hospital stays and higher healthcare costs. Risk factors for SSIs included elevated Body Mass Index (BMI) levels (odds ratio, 1.12; 95% CI, 1.02-1.23; P = 0.017), the presence of diabetes (odds ratio, 3.88; 95% CI, 1.42 - 9.48; P = 0.01), as well as specific surgical factors such as open surgical procedures (odds ratio, 2.39; 95% CI [1.09; 5.02]; P = 0.031), longer surgical duration (odds ratio, 1.36; 95% CI [1.01; 1.84]; P = 0.046), and the presence of a colostomy/ileostomy (odds ratio, 3.17; 95% CI [1.53; 6.62]; P = 0.002). Utilizing multivariable regression analysis, which encompassed factors such as open surgical procedures, the presence of diabetes and colostomy/ileostom, the nomogram plot functions as a visual aid in estimating the individual risk of SSIs for patients.

CONCLUSIONS

Risk factors for SSIs included higher BMI levels, the presence of diabetes, open surgical procedures, longer surgical duration, and the presence of colostomy/ileostomy. The nomogram plot serves as a valuable tool for risk assessment and clinical decision-making.