Construction and Validation of Risk Prediction Model for Gastrointestinal Dysfunction of Patient With Colorectal Cancer

Colorectal cancer is characterized by high morbidity and mortality. Surgical treatment is the main treatment for colorectal cancer. Surgery is the best treatment for long-term survival. Surgery is a destructive operation, can lead to local tissue injury, physical barrier damage, causes the patient's body, and a series of metabolism, neuroendocrine and immune response, all of which can cause local inflammation or systemic inflammatory response, also leads to occurrence of related complications, such as abdominal and pelvic infection, fever, anastomotic infection and fistula, intestinal obstruction, etc., Thus increasing the risk of postoperative complications. The trauma and irritation of gastrointestinal tract caused postoperative gastrointestinal dysfunction. The procedure of surgery is accompanied by anesthesia, and the anesthesia mode of gastrointestinal surgery is mainly general anesthesia. Opioid analgesics are one of the most important components of general anesthesia. The most common side effects of opioid analgesics include postoperative intestinal obstruction, nausea and vomiting, chills and urinary retention. The use of anesthetic drugs further aggravated the postoperative gastrointestinal dysfunction. At the same time, laparoscopic surgery must establish pneumoperitoneum pressure. In recent years, studies have suggested that pneumoperitoneum pressure can lead to changes in the body's internal environment, resulting in a series of pathophysiological changes such as tissue ischemia, intestinal edema, and release of inflammatory factors in the gastrointestinal tract, resulting in dysfunction of gastrointestinal function. All the above reasons lead to gastrointestinal dysfunction as the highest complication after radical resection of colorectal cancer.A review of previous literature shows that there is no predictive assessment tool for gastrointestinal dysfunction in patients after radical resection of colorectal cancer.Therefore, it is necessary to construct a risk prediction model for patients after radical resection of colorectal cancer, and to verify the clinical practicability of the model through external verification.