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©The Author(s) 2025.
World J Gastrointest Oncol. Aug 15, 2025; 17(8): 109405
Published online Aug 15, 2025. doi: 10.4251/wjgo.v17.i8.109405
Published online Aug 15, 2025. doi: 10.4251/wjgo.v17.i8.109405
Table 1 Studies on patient- and disease- related factors and stomal complications
Factors | Findings | Ref. |
Age and gender | Elderly (> 65 years) women are at a higher risk of stomal complications | Yuan et al[6], Dai et al[7], Saghir et al[8], Nastro et al[9], Fish et al[10], Bai et al[11] |
Nutritional status | Malnutrition is an independent, modifiable risk factor for stomal complications | Yuan et al[6], Ba et al[29] |
Comorbid status and smoking | Unoptimized comorbidities lead to poor healing and increase stomal compilations | Dai et al[7], Nastro et al[9], Fish et al[10], Bai et al[11], Ba et al[29], Souwer et al[30] |
Long-term immunosuppression | Increases risk of postoperative infections, impair tissue healing and prolonged hospitalization | Yuan et al[6], Dai et al[7] |
ASA status prior to surgery | Grade III or worse has a significant correlation with stomal complications | Dai et al[7], Saghir et al[8], Nastro et al[9] |
Obesity | BMI > 25 kg/m2 increases the risk of stomal complications as well as adds to the intraoperative difficulty | Dai et al[7], Nastro et al[9], Parmar et al[14] |
Stage of carcinoma | Higher the TNM stage, more is the risk of stomal complications | Dai et al[7], Fish et al[10], Bai et al[11] |
Preoperative chemotherapy and/or radiotherapy | It adversely affects the healing process | Fish et al[10], Bai et al[11], Ba et al[29] |
Table 2 Studies on technical and surgeon related factors
Factors | Findings | Ref. |
Stoma site selection | Preoperative stoma marking reduces complications | Dai et al[7], Qureshi et al[12], Park et al[13], Parmar et al[14] |
Diameter of stoma | Diameter of stoma is critical for proper appliance fitting in preventing complications | Dai et al[7], Park et al[13], Ota et al[15], Wang et al[16] |
Inadequate length and reduced vascularity of exteriorized bowel | Tension and ischemia at stoma site leads to disruption | Ota et al[15] |
Suturing technique | Fine absorbable sutures are essential to prevent mucocutaneous separation and stoma necrosis | Dai et al[7] |
Emergency surgery | Lack of preoperative planning increases the risk of complications | Qureshi et al[12], Park et al[13], Parmar et al[14] |
Table 3 Studies on role of biomarkers which may be useful in early detection of stomal complications
Factors | Findings | Ref. |
CRP, PCT | Both CRP and PCT have a NPV in ruling out septic complications. Threshold value for CRP is 170 to 190 on day 3 and 120 mg/dL to 140 mg/dL on day 4 | Dai et al[7], Ramanathan et al[18], Giaccaglia et al[21], Kumar et al[22] |
NLR | NLR predicts ischemic complications, threshold value being ≥ 3.54 preoperatively and ≥ 5.5 on postoperative day 7 | Forget et al[20], Kumar et al[22] |
NAR, GLR, GLB | NAR > 0.086, GLR > 3.662, and GLB ≤ 28 g/L are independent predictors of stomal complications | Yuan et al[6] |
Table 4 Publications on application of artificial intelligence and its role in stomal management
Factors | Findings | Ref. |
Surgical skill and decision-making | AI can predict the need and type of stoma whether end or loop. Deep learning model can predict the outcome better than logistic regression for complex combination of patient- and procedure-related variables. AI may help in assessment of surgical resection margins which can be applied to surgical decision making | Ghosh and Kumar[23], Kuo et al[24], Bektaş et al[25], Hassan et al[28] |
Perfusion and oxygenation of exteriorized bowel | Techniques like ICG and HSI can provide precise information regarding perfusion and oxygenation, preventing potential ischemic complications | Spinelli et al[27] |
Table 5 Proposed nomogram model for prediction of stomal complications
Factors | Criteria | Score1 |
Age, years | ≤ 65 | 0 |
> 65 | 1 | |
Gender | Male | 0 |
Female | 1 | |
BMI, kg/m2 | 18.5-25 | 0 |
> 25 | 1 | |
Diabetes or cardiac comorbidities | No | 0 |
Yes | 1 | |
Tobacco abuse | No | 0 |
Yes | 1 | |
Long-term immunosuppression, > 3 months | No | 0 |
Yes | 1 | |
ASA status | < Grade III | 0 |
≥ Grade III | 1 | |
AJCC stage of carcinoma | Stage 1 or 2 | 0 |
Stage 3 or 4 | 1 | |
Preoperative chemotherapy and/or radiotherapy | No | 0 |
Yes | 1 | |
Type of surgery | Elective | 0 |
Emergency | 1 | |
Experience of surgeon | Specialist colorectal surgeon | 0 |
Trainee | ||
Senior registrar | 1 | |
Preoperative stoma markings | No | 0 |
Yes | 1 | |
Intraoperative difficulty related to length of exteriorized bowel or vascularity | No | 0 |
Yes | 1 | |
CRP level > 170 mg/dL on postoperative day 3 | No | 0 |
Yes | 1 | |
NLR ≥ 3.54 preoperatively | No | 0 |
Yes | 1 | |
NLR ≥ 5.5 on postoperative day 7 | No | 0 |
Yes | 1 | |
NAR > 0.086 on postoperative day 3 | No | 0 |
Yes | 1 | |
GLR > 3.662 on postoperative day 3 | No | 0 |
Yes | 1 | |
GLB ≤ 28 g/L on postoperative day 3 | No | 0 |
Yes | 1 | |
Use of artificial intelligences | Yes | 0 |
No | 1 |
- Citation: Kaw P, Kumar A. Predictive model for early postoperative stomal complications in colorectal cancer: A systematic review. World J Gastrointest Oncol 2025; 17(8): 109405
- URL: https://www.wjgnet.com/1948-5204/full/v17/i8/109405.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v17.i8.109405