Predictive value of the Naples prognostic score on postoperative outcomes in patients with rectal cancer

PURPOSE

The Naples prognostic score (NPS) is a prognostic index based on the nutritional and inflammatory status. However, its utility in predicting postoperative complications (POCs) has not been examined in rectal cancer (RC). We evaluated the predictive value of the preoperative NPS for POCs in RC.

METHODS

We retrospectively analyzed 235 patients who underwent surgery for RC. The NPS was calculated based on serum albumin, serum total cholesterol, the neutrophil-to-lymphocyte ratio (NLR) and the lymphocyte-to-monocyte ratio (LMR). Severe POCs were defined as Clavien-Dindo classification grade ≥ III. The optimal cut-off value of the NPS was determined by a receiver operator characteristic (ROC) curve analysis. The NPS, NLR, LMR, platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP)-to-albumin ratio (CAR), Glasgow prognostic score (GPS), Onodera prognostic nutritional index (PNI) and controlling nutritional status score (CONUT) were investigated as inflammation-based and/or nutritional markers. Predictors of severe POCs were analyzed by logistic regression modeling.

RESULTS

Severe POCs were observed in 64 patients (27.2%). Male sex, operation time (> 257 min), blood loss (≥ 30 mL), albumin (< 4.0 g/dL), CRP (≥ 1.0 mg/dL), total cholesterol (≤ 180 mg/dL), NPS (≥ 2), LMR (≥ 3.48), PLR (≥ 103.6), CAR (> 0.025), GPS (≥ 1), PNI (< 48.1) and CONUT (≥ 2) were significantly associated with severe POCs. The multivariate analysis revealed that male sex, operation time (> 257 min), and a high NPS (≥ 2) were independent predictors of severe POCs. The ROC curve analysis revealed that the NPS had the greatest predictive value among the inflammation-based and/or nutritional markers.

CONCLUSION

The NPS is a valuable predictor of severe POCs in RC.

The Surgical Apgar Score Predicts Postoperative Complications in Elderly Patients After Surgery for Colorectal Cancer

OBJECTIVE

The surgical Apgar score (SAS) has been validated as a risk assessment tool for postoperative complications. However, the utility of the SAS in elderly patients with colorectal cancer remains unclear. In this study, we evaluated the utility of the SAS for predicting the severe complications in elderly patients with colorectal cancer.

METHODS

We retrospectively analyzed 295 patients underwent radical surgery for colorectal cancer in elderly patients ≥75 years old. The SAS was calculated based on 3 intraoperative parameters: estimated blood loss (EBL), lowest mean arterial pressure, and lowest heart rate. Severe complications were defined as Clavien-Dindo classification grade ≥ IIIa. We divided all patients into 2 groups according to with or without severe complications. The optimal cut-off value of SAS for severe complications has been determined by receiver operator characteristic curve. Predictors for severe complications were analyzed by logistic regression modeling.

RESULTS

Severe complications were observed in 57 patients (19.3%). Male, rectal cancer, operation time (>240 minutes), EBL (≥120 mL), and a low SAS (≤6) were significantly associated with severe complications in univariate analysis. A multivariate analysis revealed that male, rectal cancer, and a low SAS (≤6) were independent predictors for severe complications.

CONCLUSIONS

A low SAS (≤6) was associated with severe complications after colorectal cancer surgery in elderly patients. The SAS is a valuable predictor for severe complications in elderly patients with colorectal cancer.