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Ann Clin Nutr Metab : Annals of Clinical Nutrition and Metabolism

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Preoperative Neutrophil to Lymphocyte Ratio and Albumin Level as Predictors for Postoperative Complication in Patients with Colorectal Cancer
Kyung Pil Kang, Young Hun Kim, Kyung Jong Kim PhD.
Surg Metab Nutr 2020;11(2):66-72.   Published online December 30, 2020
DOI: https://doi.org/10.18858/smn.2020.11.2.66
AbstractAbstract PDFePub
Purpose: Systematic inflammatory response biomarkers are recognized as potential prognostic factors for colorectal cancer (CRC). Recently, the neutrophil-to-lymphocyte ratio (NLR) has emerged as a possible marker for predicting the outcomes of patients with CRC. The purpose of the current study was to determine if NLR could function as a predictive marker of postoperative complications in patients with colorectal cancer who were treated surgically.
Materials and Methods: One hundred and seven patients who underwent radical surgery for colorectal cancer were enrolled in the study. The NLR values were determined from the complete blood counts within one month before surgery. Values of less than or greater than 3 were defined as low (NLR-low) or high (NLR-high), respectively. Statistical comparisons were made between the NLR and the clinical-pathological variables.
Results: Sixty-eight patients met the criteria of NLR-low, and 39 patients were categorized as NLR-high. The NLR status was significantly correlated with T-stage, perineural invasion, and an increased likelihood of complications. Univariate analysis indicated that both low albumin and meeting the criteria for the NLR-high group correlated with an increased occurrence of complications (P=0.004, P=0.004, respectively). Multivariate analysis identified NLR-high and low albumin levels as independent predictors for complications (P=0.007, odd ratio=6.405, P=0.016, odd ratio=9.641, respectively)
Conclusion: The current results suggest that the preoperative NLR levels could be useful tools for predicting the occurrence of postoperative complications.
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Nutritional Status of Patients with Hepatobiliary-Pancreatic Surgical Disease
Sang Soo Eom, Yong Chan Shin, Chang-Sup Lim, In Woong Han, Woohyun Jung, Yoonhyeong Byun, Dong Wook Choi, Jin Seok Heo, Hongbeom Kim
Surg Metab Nutr 2020;11(2):46-52.   Published online December 30, 2020
DOI: https://doi.org/10.18858/smn.2020.11.2.46
AbstractAbstract PDFePub
Purpose: This study examined the nutritional status of patients with hepatobiliary-pancreatic diseases before surgery to establish basic reference data.
Materials and Methods: This study evaluated retrospectively 2,322 patients admitted for hepatobiliary-pancreatic surgery between 2014 and 2016 at four Korean medical institutions using the body mass index (BMI) score. The prognostic nutrition index (PNI) was calculated in patients diagnosed with malignant diseases.
Results: The mean BMI was 24.0 kg/m2 (range, 13.2~39.1 kg/m2). The patients were classified as low BMI (<21.5 kg/ m2, below 25 percentile), intermediate BMI (21.5~25.5 kg/m2), and high BMI (>25.5 kg/m2, above 75 percentile). There were significant differences in the age, sex distribution, ASA classification, type of hospitalization, biliary drainage, organ, and pathology diagnosis between the pairs among the low, intermediate, and high BMI groups. Among the three BMI groups, the complication rate of the low BMI group was highest (34.4% vs. 29.7% vs. 25.8% P=0.005). The median lengths of hospital stay in the low, intermediate, and high BMI groups were 9, 9, and 7 days, respectively (P<0.001). Multivariate analysis revealed the risk factors of the low BMI group to be a higher ASA classification, biliary drainage, pancreatic disease, and malignant disease. The group with PNI<45 had significantly longer hospital stays than the group with PNI≥45 (P<0.001).
Conclusion: Patients with a low BMI had a higher ASA classification, preoperative biliary drainage, pancreatic disease, and malignant disease. The low PNI group had significantly longer hospital stays than the high PNI group. Screening of the preoperative nutritional status is necessary for assessing the risk of malnutrition and its treatment.
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