目的   探讨脓毒性休克患者肿瘤坏死因子相关受体6 （TRAF6）、胆碱酯酶（ChE）及急性生理学和慢性健康状况评价Ⅱ（APACHE Ⅱ）对预后不良的预测价值。方法   回顾分析2023年2月—2024年3月于某院ICU病区收治的226例脓毒性休克患者的临床资料，基于患者预后情况分为预后良好组（n=151）以及预后不良组（n=75）。回顾226例脓毒性休克患者入院时及治疗后的TRAF6、ChE表达变化，并记录患者APACHEⅡ评分和序贯器官功能衰竭评估（SOFA）评分动态变化；比较并分析两组患者详尽的临床资料，探讨TRAF6、ChE联合APACHE Ⅱ评分之间的关联性以及上述指标对脓毒性休克患者预后情况的临床评估价值。采用Logistic回归来分析对脓毒性休克患者生存状况产生影响的潜在因素。结果   多因素Logistic回归分析，年龄、APACHE Ⅱ评分、SOFA评分、机械通气时间、TRAF6与ChE表达水平均是影响患者预后的独立危险因素（P＜0.05）；受试者操作特征曲线分析显示，年龄、APACHE Ⅱ评分、机械通气时间、SOFA评分、TRAF6、ChE表达水平联合预测脓毒性休克患者预后不良的曲线下面积为0.925，高于单独检测的0.689、0.783、0.794、0.781、0.708、0.827。结论   临床需要及时识别高龄、长时间机械通气时间、高APACHE Ⅱ与SOFA评分、高TRAF6和ChE表达水平的高风险患者，TRAF6、ChE表达水平、SOFA评分、APACHE Ⅱ评分可作为评估脓毒性休克患者预后情况的临床指标，联合应用能进一步提升临床价值。

      Objective  To explore the predictive value of tumor necrosis factor receptor associated factor 6（TRAF6），cholinesterase（ChE）and Acute Physiology and Chronic Health Evaluation II scove（APACHE II）for adverse prognosis in patients with septic shock．Methods  The clinical data of 226 patients with septic shock admitted to the Intensive Care Unit（ICU） of a hospital from February 2023 to March 2024 were retrospectively analyzed，and the patients were divided into a good prognosis group（n=151）and an adverse prognosis group（n=75）based on their prognosis．The expression of TRAF6 and ChE in 226 patients with septic shock was reviewed at admission and after treatment，while the dynamic changes of APACHE  II score and Sequential Organ Failure Assessment（SOFA）score were recorded．Detailed clinical data of the two groups were compared and analyzed to explore the correlation between TRAF6，ChE，APACHE II scores and the clinical evaluation value of the above indexes in the prognosis of patients with septic shock．Logistic regression was used to analyze the potential factors affecting the survival of septic shock patients．Results  Multiple Logistic regression analysis revealed that age，APACHE II score，SOFA score，mechanical ventilation time，TRAF6 and ChE expression levels were independent risk factors for prognosis（P＜0.05）．Receiver Operating Characteristic（ROC）curve analysis showed that the area under curve（AUC）was 0.925，which was higher than single index prediction（0.689，0.783，0.794，0.781，0.708 and 0.827）．Conclusions  High-risk patients with advanced age，prolonged mechanical ventilation，high APACHE II and SOFA scores，and high TRAF6 and ChE expression levels need to be identified in time．TRAF6，ChE expression levels，SOFA scores，and APACHE  II scores can be used as clinical indicators to evaluate the prognosis of septic shock patients．The combined application of those four indicators can further improve the clinical value．

目的 探讨无创血流动力学监测(non-invasive cardiac output monitoring,NICOM)在儿童脓毒性休克早期液体复苏的临床应用评价。方法 选取2019年1月—2020年6月期间在我院PICU患儿诊断为儿童脓毒性休克61例,随机分为对照组(未接受NICOM监测29例)和干预组(接受NICOM监测32例),记录液体复苏后6、12、24小时血气分析(pH值、剩余碱、乳酸)、尿量以及病死率、NICOM监测(CO、CI、SVR、SV、SVRI、HR、MAP)等结果。结果 液体复苏6 小时后两组HR、MAP、乳酸、剩余碱、尿量比较无统计学差异 (P>0.05),液体复苏12 h后干预组乳酸较对照组降低,差异有统计学意义(P<0.05);液体复苏24 h后两组HR、MAP、乳酸、剩余碱及尿量比较,差异均有统计学意义 (P<0.05)。干预组治疗后12 h在CO、CI、SVR、SV、SVRI、HR、MAP较治疗前改善,差异均有统计学意义(P<0.05),干预组治疗后24 h在CO、CI、SVR、SV、SVRI、HR、MAP较治疗前改善,差异均有统计学意义(P<0.05)。结论 NICOM具有敏感度及准确率高,且操作简单,可有效用于指导脓毒性休克早期液体复苏,针对个体化治疗提供客观依据,正确指导容量管理,具有科学实用价值,值得推广。

Objective To evaluate the clinical application of non-invasive cardiac output monitoring (NICOM) for early fluid resuscitation in children with septic shock. Methods 61 children diagnosed with septic shock in the PICU at our hospital between January 2019 and June 2020 were randomly divided into a control group (29 without NICOM monitoring) and an intervention group (32 with NICOM monitoring), and the results of blood gas analysis (pH,lactate and residual base), urine volume, and mortality, and NICOM monitoring (CO, CI, SVR, SVRI, HR, and MAP) were recorded at 6, 12, and 24 h after fluid resuscitation. Results There was no statistically significant difference in HR, MAP, lactic acid, residual base and urine volume between the two groups after 6 h of fluid resuscitation (P>0.05), and lactic acid was lower in the intervention group than that in the control group after 12 h of fluid resuscitation (P<0.05); the differences in HR, MAP, lactic acid, residual base and urine volume between the two groups after 24 h of fluid resuscitation were all statistically significant (P<0.05). The differences were statistically significant (P<0.05) in CO, CI, SVR, SVI, HR, and MAP at 12 h and at 24 h after treatment in the intervention group compared with that of the pre-treatment (P<0.05). Conclusion NICOM has high sensitivity and accuracy and it can be operated in simple processes. It may be effectively applied to guide the early fluid resuscitation of septic shock. It also provides Objective evidence for individualized treatment and correctly guides volume management. Its scientific and practical value makes it worth promoting.