Models Based on Dynamic Clinicopathological Indices for Predicting Prognosis During the Perioperative Period for...

Area of Science:

• Oncology
• Medical Diagnostics
• Biochemistry

Background:

• Clinicopathological indices, including inflammatory and biochemical markers, are crucial for colorectal cancer (CRC) prognosis.
• Few studies have investigated the impact of dynamic changes in these indicators during the perioperative period.

Purpose of the Study:

• To evaluate the influence of dynamic changes in inflammatory and biochemical indices on patient outcomes in colorectal cancer (CRC) during the perioperative period.
• To develop a novel prognostic model for CRC patients.

Main Methods:

• 551 CRC patients undergoing radical resection were analyzed.
• Dynamic changes were assessed using postoperative/preoperative inflammatory and biochemical indices (ΔX).
• Prognostic models were developed and validated using survival analyses and Cox regression, with performance evaluated by C-index and Brier scores.

Main Results:

• Prognostic models incorporating age, sex, TNM stage, pathological conditions, inflammatory/biochemical indices, CEA, and CA199 demonstrated high accuracy for overall survival (OS) and disease-free survival (DFS).
• Nomogram C-indices for OS reached 0.921 in the testing cohort, and for DFS reached 0.835.
• The model showed exceptional predictive performance for patient outcomes.

Conclusions:

• A novel prognostic model based on dynamic inflammatory and biochemical indices was successfully established for colorectal cancer (CRC).
• This model can aid in clinical decision-making for CRC patient management.