ObjectiveTo review the biological characteristics of self-assembling peptide nanofiber scaffold (SAPNS) and its potential to induce bone repair. MethodsThe literature regarding SAPNS and its application in bone repair was extensively analyzed and reviewed. ResultsSAPNS is derived from natural amino acids, and has the properties of good biocompatibility and non-toxic degradation products. Their microenvironment highly mimics the natural extracellular matrix, and controlled release of growth factors as well as modification with functional motifs can substantially improve their bioactivity. Many studies on cell composite culture and bone defect repair of animal models reveal that SAPNS has the ability to promote the function of bone cells (e.g. adherence, proliferation, and differentiation) in vitro, and enhance new bone tissue formation in vivo. ConclusionSAPNS may be an ideal material for bone repair, but its biologically mechanical properties need further improvement.
目的探讨胸腹腔镜在食管癌手术中应用的可行性及近期疗效。 方法2012年6月至2013年10月四川省人民医院胸外科90例食管癌患者行胸腹腔镜联合食管癌切除术，其中男54例、女36例，年龄47～83岁，平均（63.15±11.10）岁。手术先行胸腔镜游离胸段食管并清扫淋巴结，再腹腔镜游离胃行食管胃左颈部吻合术。记录手术时间、术后胸腔引流管放置时间、平均住院时间、淋巴结清扫枚数、术后并发症等。 结果全部无围术期死亡。手术时间260～450 min。术后4～11 d（平均5 d）拔除胸腔闭式引流管，胸腔总引流量为530～4 260 ml。全组共清扫纵隔淋巴结（气管旁、右下肺韧带、食管旁、隆凸下及左右喉返神经链旁）、腹腔淋巴结（贲门旁、胃左动脉旁）及颈部淋巴结1 395枚，平均每例15.5枚，15例（16.7%）发现淋巴结转移。术后发生吻合口瘘7例（7.8%），声音嘶哑5例（5.6%），肺部感染5例（5.6%），乳糜胸2例（2.2%），均经保守治疗后痊愈。术后10～14 d出院。门诊及电话随访82例，随访率91.1%，随访时间1～16个月，患者全部生存，无复发。 结论胸腹腔镜联合行食管癌根治术在技术上是安全可行的，近期疗效可靠。
ObjectiveTo systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. MethodsA computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. ResultsA total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.67-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. ConclusionAt present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.