大黄附子汤对重症急性胰腺炎小鼠肠道微皱褶细胞变化的影响

目的研究大黄附子汤对重症急性胰腺炎(SAP)小鼠肠道微皱褶细胞(M细胞)变化的影响，为大黄附子汤临床防治SAP提供理论基础。 方法选取40只健康SPF级C57BL/6J雄性小鼠，随机分为4组(每组10只)：空白对照组、大黄附子汤对照组、SAP组、大黄附子汤治疗组，其中SAP组和大黄附子汤治疗组分别以3.5 g/kg剂量腹腔注射20% L-精氨酸，空白对照组和大黄附子汤对照组注射等剂量的等渗盐水；于造模后12、24、36 h，空白对照组和SAP组给予等渗盐水0.2 mL，大黄附子汤对照组和治疗组给予大黄附子汤0.2 mL灌肠，均于造模完成48 h后处死取材，使用ELISA检测血清淀粉酶、内毒素、IL-1β及TNF-α含量，取回肠及胰腺组织行HE染色、评分，免疫组化染色检测M细胞特异性蛋白GP2并评分。 结果(1)一般情况：对照组腹腔注射后小鼠一般情况好，精神状态良好，能正常进水，四肢活动自如，行动未受影响；SAP组小鼠腹腔注射后一般情况差，精神萎靡，反应迟钝，行动迟缓，呼吸急促，拱背收腹，饮水减少。(2)SAP组淀粉酶、内毒素、IL-1β及TNF-α水平较对照组明显升高(P<0.05)；与SAP组进行对比，大黄附子汤治疗组血清淀粉酶、内毒素、IL-1β及TNF-α水平出现显著下降(P<0.05)。(3)HE染色：SAP组胰腺及回肠组织坏死严重，可见大量白细胞浸润。大黄附子汤治疗组胰腺及回肠组织轻度坏死，可见少量中性粒细胞等白细胞浸润。(4)免疫组化染色：SAP组与对照组相比GP2表达降低(P<0.05)；相较于SAP组，大黄附子汤治疗组GP2的表达水平升高(P<0.05)。 结论大黄附子汤治疗可改善作为肠道免疫应答起始的M细胞数量与功能，增强肠道免疫应答，减轻肠免疫屏障损伤，减少内毒素入血，改善SAP症状。     

Standardisierte Kontrastmittelsonographie (CEUS) in der klinischen Akut- und Notfallmedizin sowie Intensivmedizin (CEUS-Akut)

Die Anaesthesiologie -     

A contemporary systematic review on liver transplantation for unresectable liver metastases of colorectal cancer

The 5-year overall survival rate of a patient with unresectable metastatic colorectal cancer is poor at approximately 14%. Similarly, historical data on liver transplantation (LT) in those with colorectal liver metastases (CRLM) showed poor outcomes, with 5-year survival rates between 12% and 21%. More recently, limited data have shown improved outcomes in select patients with 5-year overall survival rates of approximately 60%. Despite these reported survival improvements, there is no significant improvement in disease-free survival. Given the uncertain benefit with this therapeutic approach and a renewed investigational interest, we aimed to conduct a contemporary systematic review on LT for CRLM. A systematic review of the literature was performed according to the preferred reporting items for systematic reviews and meta-analysis statement. English articles reporting on data regarding LT for CRLM were identified through the MEDLINE (via PubMed), Cochrane Library, and ClinicalTrials.gov databases (last search date: December 16th, 2021) by 2 researchers independently. A total of 58 studies (45 published and 13 ongoing) were included. Although early retrospective studies suggest the possibility that some carefully selected patients may benefit from LT, there is minimal prospective data on the topic and LT remains exploratory in the setting of CRLM. Additionally, several other challenges, such as the limited availability of deceased donor organs and defining appropriate selection criteria, remain when considering the implementation of LT for these patients. Further evidence from ongoing prospective trials is needed to determine if and to what extent there is a role for LT in patients with surgically unresectable CRLM.     

The social vulnerability metric (SVM) as a new tool for public health

Objective

To derive and validate a new ecological measure of the social determinants of health (SDoH), calculable at the zip code or county level.

Data Sources and Study Setting

The most recent releases of secondary, publicly available data were collected from national U.S. health agencies as well as state and city public health departments.

Study Design

The Social Vulnerability Metric (SVM) was constructed from U.S. zip-code level measures (2018) from survey data using multidimensional Item Response Theory and validated using outcomes including all-cause mortality (2016), COVID-19 vaccination (2021), and emergency department visits for asthma (2018). The SVM was also compared with the existing Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to determine convergent validity and differential predictive validity.

Data Collection/Extraction Methods

The data were collected directly from published files available to the public online from national U.S. health agencies as well as state and city public health departments.

Principal Findings

The correlation between SVM scores and national age-adjusted county all-cause mortality was r = 0.68. This correlation demonstrated the SVM's robust validity and outperformed the SVI with an almost four-fold increase in explained variance (46% vs. 12%). The SVM was also highly correlated (r ≥ 0.60) to zip-code level health outcomes for the state of California and city of Chicago.

Conclusions

The SVM offers a measurement tool improving upon the performance of existing SDoH composite measures and has broad applicability to public health that may help in directing future policies and interventions. The SVM provides a single measure of SDoH that better quantifies associations with health outcomes.