Nomogram for Predicting Prolonged Postoperative Ileus in Colorectal Cancer Based on Age and Inflammatory Markers

Figures & data

Figure 1. Patient-selection flowchart.

Table 1. Cutoff values of each inflammatory marker and their corresponding sensitivity and specificity.

Variable	Truncation value	Sensitivity	Specificity
Preoperative
Preoperative albumin	43.74	0.31	0.803
Preoperative NLR	4.71	0.172	0.944
Preoperative SII	476.63	0.662	0.448
Preoperative PLR	182.66	0.333	0.739
Preoperative LMR	5.76	0.254	0.862
Preoperative PNI	43.75	0.31	0.803
Postoperative
Postoperative albumin	35.19	0.507	0.598
Postoperative NLR	10.10	0.575	0.704
Postoperative SII	2426.55	0.391	0.831
Postoperative PLR	263.97	0.345	0.824
Postoperative LMR	1.31	0.768	0.414
Postoperative PNI	35.20	0.507	0.598

LMR: Lymphocyte-monocyte ratio; NLR: Neutrophil-lymphocyte ratio; PLR: Platelet-lymphocyte ratio; PNI: Prognostic nutritional index; SII: Systemic immune-inflammation index.

Figure 2. Nomogram for predicting the likelihood of prolonged postoperative ileus after radical resection for colorectal cancer.

A straight line was drawn vertically from the axis of each variable toward the ‘points’ scale. The points for each variable were summed together to generate a total point score, which is projected on the bottom line to obtain the individual predictive risk of PPOI.

pre-NLR: Preoperative neutrophil-lymphocyte ratio; ΔNLR: Change of NLR, postoperative NLR – preoperative NLR.

Figure 3. Receiver operating characteristic curve of prolonged postoperative ileus nomogram in the training group.

AUC: Area under the receiver operating characteristic curve; ROC: Receiver operating characteristic curve.

Figure 4. Calibration plots of nomogram in the training group.

The apparent line represents actual nomogram performance. The bias-corrected line represents the bootstrap-corrected performance of the nomogram. The diagonal line is an ideal model, indicating 100% predictive power.

Figure 5. Receiver operating characteristic curve of prolonged postoperative ileus nomogram in the validation group.

AUC: Area under the receiver operating characteristic curve; ROC: Receiver operating characteristic curve.

Figure 6. Calibration plot of nomogram in the validation group.

The apparent line represents actual nomogram performance. The bias-corrected line represents the bootstrap-corrected performance of the nomogram. The diagonal line is an ideal model, indicating 100% predictive power.