A nomogram to predict the risk of colorectal anastomotic leakage combining inflammatory-nutritional and abdominal aorta calcium index

Figures

• 

  Figure 1. The MDCT images of abdominal aorta, SMA and IMA calcification. The arrow in the images indicates the site of arterial calcification. The plaque was outlined, and then its area was obtained by the software (Syngo Calcium Scoring, Siemens). (A) The calcification at the origin of SMA on the aorta. (B) The calcification of the abdominal aorta.

• 

  Figure 2. The flow chart of the selection process for the colorectal cancer patients from from January 2018 to October 2021.

• 

  Figure 3. Forest plot about multivariate logistic regression analysis of clinicopathologic characteristics in the training cohort for anastomotic leakage.

• 

  Figure 4. The nomogram predicting postoperative AL in patients with colorectal adenocarcinoma. Match the characteristics of patients to the scale of each risk factor in the nomogram to get the corresponding points. All points were added up to obtain the total points, and then total points was matched to the scale of anastomotic fistula rate to obtain the probability of AL. NLR, neutrophil-lymphocyte ratio.

• 

  Figure 5. The calibration curves of the nomogram in the training cohort (A) and validation cohort (B). The X-axis represented the possibility of AL predicted by the nomogram, and the Y-axis represented the possibility of AL observed in patients.

• 

  Figure 6. Receiver operating characteristic (ROC) curves of the nomogram and five risk factors in training cohort (A) and validation cohort (B). The values of AUC (95%CI) for the nomogram and five risk factors were listed in the figure. The X-axis represented the specificity of the nomogram and five risk factors to predict AL, and the Y-axis represented the sensitivity of these items. NLR, neutrophil-lymphocyte ratio; SMA, superior mesenteric artery; AUC, area under the curve.