早期十全大补汤联合肠内营养乳剂治疗胃癌术后(气血两虚证)喂养不耐受临床评价

目的探讨早期使用十全大补汤联合肠内营养乳剂(TP)治疗胃癌术后(气血两虚证)发生喂养不耐受(FI)的影响因素及对营养指标、中医证候积分的影响。方法回顾性分析术后早期行十全大补汤联合TP治疗的80例胃癌术后(气血两虚)患者的病历资料,根据是否出现FI分为耐受组(34例)和不耐受组(46例)。FI的相关影响因素进行单因素及多因素分析,并观察FI对患者营养指标、中医证候积分的影响。结果单因素分析显示,患者术后第1天下床活动时间、开始肠内营养(EN)的时间、使用营养泵、早期灌肠与FI的发生密切相关(P <0. 05);多因素Logistic回归分析显示,患者第1天下床活动时间≥2 h[OR=0. 022,P=0. 001,95%CI(0. 002,0. 223)]、使用营养泵[OR=0. 021,P=0. 000,95%CI(0. 003,0. 162)]是FI发生的独立危险因素;术后10 d,耐受组患者白蛋白(ALB)、血红蛋白(Hb)升高水平优于不耐受组(P <0. 05),中医证候积分显著低于不耐受组(P <0. 05)。结论胃癌术后(气血两虚证)患者早期给予十全大补汤联合TP治疗开始后,患者第1天下床活动时间不短于2 h、使用营养泵能有效减少FI的发生,并改善了患者的营养状态,减轻了中医临床症状。     

基于剂量组学预测肺癌患者放射性肺炎发生的研究

目的 探讨剂量组学在预测肺癌根治性放疗患者放射性肺炎发生中的应用潜能。方法 回顾性收集行根治性放疗的314例肺癌患者的临床资料、放疗剂量文件、定位及随访CT图像,根据临床资料及影像学随访资料对放射性肺炎进行分级,提取全肺的剂量组学特征,构建机器学习模型。应用1000次自助抽样法（bootstrap）的最小绝对值收敛和选择算子嵌套逻辑回归（LASSO‐LR）及1000次bootstrap的赤池信息量准则（AIC）向后法筛选与放射性肺炎相关的剂量组学特征,随机按照7∶3划分为训练集及验证集,应用逻辑回归建立预测模型,并应用ROC曲线及校正曲线评价模型的性能。结果 共提取120个剂量组学特征,经LASSO‐LR降维筛选得到12个特征进入“特征池”,再经过AIC向后法筛选,最终筛选出6个剂量组学特征进行模型构建,训练集AUC为0.77（95%CI为0.65~0.87）,独立验证集AUC为0.72（95%CI为0.64~0.81）。结论 利用剂量组学建立的预测模型具有预测放射性肺炎发生的潜力,但仍需继续纳入多中心数据及前瞻性数据进一步挖掘剂量组学的应用潜能。     

Secretion,blood levels and cutaneous expression of TL1A in psoriasis patients

TL1A is a TNF‐like cytokine which has been shown to co‐stimulate TH1 and TH17 responses during chronic inflammation. The expression of this novel cytokine has been investigated in inflammatory disorders like rheumatoid arthritis and inflammatory bowel disease, but little is known about expression and induction in psoriasis. Indeed, the pathogenesis in psoriasis is still not fully understood and it is speculated that cytokines other than TNF‐α are important in subsets of patients. Also, for patients with severe disease that are treated with systemic anti‐TNF‐α blockade, novel candidates to be used as disease and response biomarkers are of high interest. Here, we demonstrate TL1A expression in biopsies from psoriatic lesions. Also, we investigated spontaneous and induced TL1A secretion from PBMCs and blood levels from a cohort of psoriasis patients. Here, increased spontaneous secretion from PBMCs was observed as compared to healthy controls and a small subset of patients had highly elevated TL1A in the blood. Interestingly, activation of PBMCs with various cytokines showed a decreased sensitivity for TL1A activation in psoriasis patients compared to healthy controls.TL1A levels in blood and biopsies could not be correlated with disease activity with this patient cohort. Thus, additional large‐scale studies are warranted to investigate TL1A as a biomarker.