Estimation of Physiologic Ability and Surgical Stress scoring system for predicting complications following abdominal surgery: A metaanalysis spanning 2004 to 2022

BACKGROUND Postoperative complications remain a paramount concern for surgeons and healthcare practitioners.AIM To present a comprehensive analysis of the Estimation of Physiologic Ability and Surgical Stress(E-PASS)scoring system’s efficacy in predicting postoperative complications following abdominal surgery.METHODS A systematic search of published studies was conducted,yielding 17 studies with pertinent data.Parameters such as preoperative risk score(PRS),surgical stress score(SSS),comprehensive risk score(CRS),postoperative complications,post-operative mortality,and other clinical data were collected for meta-analysis.Forest plots were employed for continuous and binary variables,withχ2 tests assessing heterogeneity(P value).RESULTS Patients experiencing complications after abdominal surgery exhibited significantly higher E-PASS scores compared to those without complications[mean difference and 95%confidence interval(CI)of PRS:0.10(0.05-0.15);SSS:0.04(0.001-0.08);CRS:0.19(0.07-0.31)].Following the exclusion of low-quality studies,results remained valid with no discernible heterogeneity.Subgroup analysis indicated that variations in sample size and age may contribute to hetero-geneity in CRS analysis.Binary variable meta-analysis demonstrated a correlation between high CRS and increased postoperative complication rates[odds ratio(OR)(95%CI):3.01(1.83-4.95)],with a significant association observed between high CRS and postoperative mortality[OR(95%CI):15.49(3.75-64.01)].CONCLUSION In summary,postoperative complications in abdominal surgery,as assessed by the E-PASS scoring system,are consistently linked to elevated PRS,SSS,and CRS scores.High CRS scores emerge as risk factors for heightened morbidity and mortality.This study establishes the accuracy of the E-PASS scoring system in predicting postoperative morbidity and mortality in abdominal surgery,underscoring its potential for widespread adoption in effective risk assessment.

A novel comprehensive ALPPS preoperative risk assessment (CAPRA) score is beneficial in creating a treatment strategy for advanced liver malignancy

Curability and safety are essential for patients with advanced liver malignancy undergoing extended liver resection.If the future liver remnant(FLR)volume is insufficient,portal embolization with or without hepatic arterial or venous embolization or a conventional two-stage hepatectomy(TSH)can be performed(1,2).Associating liver partition and portal vein ligation for staged hepatectomy(ALPPS)was introduced in 2007.

Nutritional evaluation of whole soybean curd made from different soybean materials based on amino acid profiles

Objectives:Amino acid profiles of whole soybean curds(WSCs)and conventional soybean curds(CSCs)were comparatively studied to 1.,evaluate their nutritional value and 2.,study the suitable soybean material to fabricate WSCs.Materials and Methods:Nine types of soybean materials were selected to make WSCs and CSCs.Protein digestibility-corrected amino acid score(PDCAAS)and principal component analysis were selected to perform the comparative analysis of amino acid profiles of the products.Results:Total contents of amino acids in WSCs and CSCs were 41.24-54.87 mg/g and 27.77-36.82 mg/g.Content ranges of essential amino acids were 13.59-19.38 mg/g and 8.46-11.76 mg/g for WSCs and CSCs.The essential amino acid pattern of WSCs was basically close to amino acid pattern spectrum requirements except valine and sulfur amino acids.As a limiting amino acid,methionine represented less than 0.4 for PDCAAS in all soybean curds except WSCs made from relay-cropping Nandou12 and Nandou25.Conclusions:The overall quality of amino acids in WSCs was higher than that in CSCs,indicating that WSCs indeed exhibited higher nutritional value than CSCs from the viewpoint of amino acid profile.WSCs with the high nutritional value could be made using Nandou25 and relay-cropping Nandou12 as materials.

哈长城市群环境生态效率及其影响因素分析——基于非期望SBM-Shannon Entropy模型

选取哈长城市群的10个城市作为研究对象,利用2006-2015年的面板数据,测算哈长城市群各城市生态效率并分析影响生态效率的因素.首先运用非期望产出的SBM-Shannon Entropy模型计算各市的生态效率CES得分(Comprehensive Efficiency Score,CES),然后构建Tobit回归模型对CES得分的影响因素进行分析.研究结果表明:哈长城市群2006-2015年生态效率CES得分均值在2011-2014年呈下降趋势,2015年有所回升;其中,大庆市、松原市和绥化市生态效率CES得分均值较高,而牡丹江市、吉林市以及辽源市得分均值在0.5以下.回归分析表明:经济发展水平、地区因素、产业结构、地区对外开放程度、科学技术及企业的管理能力对哈长城市群生态效率CES有显著影响.