Sepsis constitutes one of the principal causes of death globally, and the mortality rate of patients complicated with sepsis-induced cardiomyopathy (SIC) surges by over 50%. Early identification of patients with sepsis, particularly SIC, and implementing clinical intervention are vital measures to reduce the mortality. In recent years, biomarkers for the diagnosis and prognosis of SIC have emerged rapidly. Among classical myocardial injury biomarkers, cardiac troponin (cTn), brain natriuretic peptide (BNP), and soluble growth stimulation gene 2 protein (sST2) have predictive value for the prognosis of SIC. Meanwhile, heart-type fatty acid-binding protein (h-FABP) possess relatively high value in diagnosis. Moreover, plasma metabolites, microRNA (miRNA), as well as recently identified markers related to sepsis or cardiovascular diseases also demonstrate outstanding predictive value in both the diagnosis and prognosis of SIC. For instance, exosomal miR-150-5p, blood miR-155, blood miR-378a-3p, blood miR-21-3p, blood miR-233, blood miR-23b, blood miR-135, lipocalin (LCN), heme oxygenase-1 (HO-1), fibroblast growth factor-21 (FGF-21), and growth differentiation factor-15 (GDF-15) show varying degrees of predictive value when it comes to diagnosing SIC. S100A8/A9 protein, triglyceride-glucose (TyG) index, angiotensinogen II (Ang II) and lactoferrin are correlated with the prognosis of SIC. Meanwhile, it has been discovered that the combination of multiple biomarkers outperforms a single biomarker, and certain combinations exhibit superior diagnostic performance. However, most of these studies use single-center clinical data, which has certain limitations and still calls for more high-quality evidence support. Therefore, identifying biomarker combinations that are supported by high-quality evidence, have bedside application potential, and possess high sensitivity and specificity is of crucial importance for the prevention, diagnosis, and treatment of SIC. This review is carried out on the current articles that report biomarkers with predictive value and the diagnosis and prediction of multiple biomarkers in combination, in the hope of continuously optimizing the diagnostic strategy for the specific identification of early SIC.
Humans ; Biomarkers/blood* ; Cardiomyopathies/etiology* ; Sepsis/diagnosis* ; MicroRNAs/blood* ; Prognosis ; Fatty Acid-Binding Proteins/blood*

Objective To investigate the publication status of papers written by key nursing staff of vascular interventional academic organizations and to analyze its influencing factors so as to provide a theoretical basis for improving the scientific research output of vascular interventional nursing staff.Methods The questionnaire was designed by reading and referring to the domestic and foreign literature.A survey was conducted in a total of 346 members of the Nursing Professional Committee of the China Branch of the International Vascular Alliance,who were from 22 provinces,autonomous regions,and municipalities of China.Results Of the 346 key vascular interventional nursing staff,190 had published one paper(54.91％)and 156(45.09％)had published multiple papers in the past 5 years as the first author or corresponding author,and among them 267(77.17％)wrote papers for the purpose to make a promotion.Multiple regression analysis showed that academic position,first education degree,professional position,length of nursing service,knowledge of the English literature,and source of scientific research knowledge(school study)were the independent factors affecting the paper publication by vascular interventional nursing staff(all P＜0.05).The survey showed that vascular interventional nursing staff had difficulties in carrying out scientific research because they were lack of scientific research-related knowledge,busy with daily work,and lack of scientific research atmosphere.Conclusion The publication of academic papers written by key nursing staff of vascular interventional academic organizations is influenced by many factors.It is recommended that the hospital administration should strengthen the training of English literature retrieval ability for nursing staff so as to fundamentally improve the overall scientific research level of nursing staff.(J Intervent Radiol,2024,33:309-313)

ObjectiveThe natural history of chronic HBV infection often involves a histologically defined immune tolerance state， and once such immune tolerance state is broken， antiviral therapy should be initiated immediately. This study aims to investigate the correlation between immune-mediated liver injury and virological indicators for HBV and precisely identify the patients with a histologically defined immune tolerance state. MethodsThis study was conducted among 577 HBeAg-positive chronic hepatitis B （CHB） patients with HBV DNA >2×10⁶ IU/mL who did not receive antiviral therapy in The Fifth Medical Center of PLA General Hospital， Tianjin Second People’s Hospital， Shanghai Ruijin Hospital， and Taizhou Hospital of Zhejiang Province from January 2010 to December 2022. Liver biopsy was performed to determine the extent of liver injury， and the serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and virological indicators were measured. The proportion of patients with a histologically defined immune tolerance state was analyzed based on the cut-off values of noninvasive indicators recommended in various guidelines， especially HBV load. In addition， a diagnostic model was established for the histologically defined immune tolerance state based on serum HBV DNA at the time when its correlation with liver immunopathological injury disappeared as the new threshold in combination with multiple indicators. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Spearman method was used for correlation analysis. The binary Logistic regression analysis was used to establish a multivariate diagnostic model； the area under the receiver operating characteristic curve （AUC） was used to investigate the diagnostic efficiency of different models， and the Z test was used for comparison of AUC. ResultsAmong the patients with an immune tolerance state defined by the noninvasive indicators in the Chinese guidelines （2022 edition）， the EASL guidelines （2017 edition）， the AASLD guidelines （2018 edition）， and the APASL guidelines （2015 edition） for the prevention and treatment of CHB， the patients with a histologically defined immune tolerance state who met the definition in this article （HBV DNA>2×10⁶ IU/mL） accounted for 47.0%， 38.5%， 36.0%， and 44.6%， respectively， which did not exceed 50%. When the threshold of serum HBV DNA increased to >2×10⁸ IU/mL， although the correlation between immune-mediated liver injury and HBV DNA disappeared （r=-0.029， P=0.704）， the patients with a histologically defined immune tolerance state reached only 52.0%. In the cohort of 251 HBeAg-positive patients with serum HBV DNA >1×10⁸ IU/mL， there were significant differences in the levels of HBsAg， HBeAg， HBV DNA， ALT， and AST between the significant liver injury group with 140 children and the non-significant liver injury group with 111 patients （all P<0.05）， and the multivariate binary Logistic regression analysis showed that AST， HBV DNA， and HBeAg were influencing factors for histologically defined immune tolerance state in patients （all P<0.05）. Based on the above indicators and related clinical data， a predictive model was established as logit（P）=1.424－0.028×AST， with an AUC of 0.730， an optimal cut-off value of 30.5 U/L， a sensitivity of 52.8%， and a specificity of 84.1%. A total of 238 adult patients with chronic HBV infection who underwent liver biopsy in Taizhou Hospital of Zhejiang Province were enrolled as the validation cohort， and the analysis showed that the predictive model established in this study had a better efficiency than AST/ALT， FIB-4， and APRI， with an AUC of 0.698， 0.555， 0.518， and 0.373， respectively （all P<0.05）. ConclusionFor HBeAg-positive patients with chronic HBV infection and HBV DNA>2×10⁸ IU/mL， an AST level of >30.5 U/L might indicate the “breakdown” of histologically defined immune tolerance state.

Objective To investigate the efficacy and safety of artificial liver support therapy with an Evanure-4A selective membrane plasma separator and its influence on platelet count in the treatment of patients with acute-on-chronic liver failure(ACLF)patients with different platelet counts.Methods A total of 302 patients with ACLF who were hospitalized in Department of Hepatology,Chengdu Public Health Clinical Medical Center,from January 2021 to May 2023,were enrolled,and according to the platelet count(PLT),they were divided into group A(25×109/L—50×109/L)with 101 patients,group B(51×109/L—80×109/L)with 98 patients,and group C(81×109/L—100×109/L)with 103 patients.In addition to medical treatment,all patients received different modes of artificial liver support therapy based on their conditions,including plasma perfusion combined with plasma exchange,double plasma molecular adsorption combined with plasma exchange,and bilirubin system adsorption combined with plasma exchange.The paired t-test was used for comparison of continuous data before and after treatment in each group;an analysis of variance was used for comparison between multiple groups,and the SNK-q test was used for further comparison between two groups;the chi-square test was used for comparison of categorical data between multiple groups.Results Of all 302 patients,268(88.74%)achieved varying degrees of improvement in clinical symptoms after artificial liver support therapy.After treatment,all three groups had varying degrees of reductions in alanine aminotransferase(t=14.755,21.614,and 15.965,all P＜0.001),aspartate aminotransferase(t=11.491,19.301,and 13.919,all P＜0.001),total bilirubin(t=19.182,17.486,and 21.75,all P＜0.001),and international normalized ratio(INR)(t=3.497,3.327,and 4.358,all P＜0.05).After artificial liver support therapy with an Evanure-4A selective membrane plasma separator,PLT in group A decreased from(37.73±6.27)×109/L before treatment to(36.59±7.96)×109/L after treatment,PLT in group B decreased from(66.97±7.64)×109/L before treatment to(62.59±7.37)×109/L after treatment,and PLT in group C decreased from(93.82±5.38)×109/L before treatment to(85.99±12.49)×109/L after treatment;groups B and C had significant reductions in PLT after treatment(t=12.993 and 8.240,both P＜0.001),but there was no significant difference in group A(P＞0.05).There was no significant difference in the incidence rate of adverse reactions during artificial liver support therapy between the three groups(P＞0.05).Conclusion Artificial liver support therapy can improve liver function and INR in patients with ACLF.The use of Evaure-4A selective membrane plasma separator during artificial liver support therapy has little influence on platelets,and it is safe in the treatment of ACLF patients with a significantly lower level of platelets.

Objective Tto analyze the spatial distribution and characteristics of the national AIDS/HIV epidemics from 2009 to 2020 to discover its distribution, aggregation, and hot spots, and provide corresponding suggestions for AIDS prevention and control. Methods Spatial autocorrelation analysis, hot spot analysis, and Kriging interpolation prediction were used to describe, analyze, and predicting the spatial distribution of AIDS epidemics across the country. Results The national AIDS incidence and mortality rate increased yearly, but the growth rate shows a downward tendency with uneven spatial distribution,focusing on the southwest and northwest regions; the average annual incidence rate of AIDS ( Moran's I> 0, P < 0. 01) and the average annual mortality rate (Moran's I> 0, P < 0. 01) of the distribution had a positive global spatial correlation, with Sichuan, Yunnan, Guangxi, Chongqing,Hunan and Guizhou being the areas with ^“high-high^” clusters of AIDS incidence; Sichuan, Yunnan, Guangxi,Hunan,Xinjiang and Guizhou were the areas with ^“high-high^” clusters of average annual mortality. The ^“hot spot^” areas were mainly concentrated in the southwestern part of China, and the ^“cold spot^” areas were mainly concentrated in the eastern coastal and northern parts of China; Kriging interpolation predicted that Xinjiang would be the new hot spot area for future epidemics. Conclusion The spatial distribution of AIDS in China is uneven, showing spatial aggregation, hot spots and cold spots coexist, and the high-risk areas will continue to expand in the future.So the prevention and control work should be carried out in a targeted and localized manner.

Humans ; Neutrophils ; Receptors, Cell Surface ; GPI-Linked Proteins ; HIV Infections ; Isoantigens

This study primarily concentrated on scientific problems of poor taste caused by unclear critical quality attributes of oral preparations manufactured by Chinese materia medica, successfully established an identification method for taste critical quality attribute and a taste improvement method combining electronic tongue with human senses, and determined the optimal taste formula, to improve patients' oral medication compliance. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine. The results showed that the proportion of bitterness of Xiaoer Qingrening Granule was 61.8%, and its bitterness grade was 3.70, it was determined that bitterness is the critical quality attribute that caused the poor taste of Xiaoer Qingrening Granule. Additionally, the optimal taste formula per milliliter of Xiaoer Qingrening sugar-free intermediate was determined with allowable daily intake, solubility, and sweetness as the limiting conditions, which was 40 mg hydroxypropyl β-cyclodextrin, 180 mg trehalose, and 1.5 mg acesulfame potassium. Compared with the Xiaoer Qingrening Granule, the sensory evaluation score of the optimal taste formula was increased by 37.5 points. In conclusion, this study achieved the taste improvement of Xiaoer Qingrening Granule and formed a set of taste improvement strategies including the identification of taste critical quality attribute, the selection of the type and dosage of corrigent, and the optimization of taste formula, which provided a thought reference for the taste improvement of other oral preparations and a new perspective for quality control of intelligent manufacturing of traditional Chinese medicines.

OBJECTIVE: To investigate the imaging effect of a near-infrared fluorescent targeted probe ICG-NP41 on the neurovascular bundles (NVB) around the prostate in rats. METHODS: A near-infrared fluorescent targeted probe ICG-NP41 was synthesized. An animal model for NVB imaging was established using Sprague-Dawley rats (250-400 g). Experiments were conducted using a custom-built near-infrared windowⅡ(NIR-Ⅱ) small animal in vivo imaging system, and images collected were processed using ImageJ and Origin. The fluorescence signal data were statistically analyzed using GraphPad Prism. The signal-to-background ratio (SBR) for NVB was quantitatively calculated to explore the effective dosage and imaging time points. Finally, paraffin pathology sections and HE staining were performed on the imaging structures. RESULTS: Except for rats in the control group (n=2), right-sided NVB of the rats injected with ICG-NP41 (n=2 per group) were all observed in NIR-Ⅱ fluorescence mode 2 h and 4 h after administration. At 2 h and 4 h, average SBR of cavernous nerve in 2 mg/kg group in fluorescence mode was 1.651±0.142 and 1.619±0.110, respectively, both higher than that in white light mode (1.111±0.036), with no significant difference (P>0.05); average SBR of 4 mg/kg group in fluorescence mode were 1.168±0.066 and 1.219±0.118, respectively, both higher than that in white light mode (1.081±0.040), with no significant difference (P>0.05). At 2 h and 4 h, the average SBR of 2 mg/kg and 4 mg/kg groups in fluorescence mode were higher than that of the control group (SBR=1), the average SBR of the 2 mg/kg group was higher than that of the 4 mg/kg group, and all the above with no significant difference (P>0.05). The average diameter of the nerve measured by full width at half maxima method was about (178±15) μm. HE staining of paraffin sections showed the right major pelvic ganglion. CONCLUSION The near-infrared fluorescent targeted probe ICG-NP41 can be used for real-time imaging of the NVB around the prostate in rats, providing a potential feasible solution for localizing NVB in real time during nerve-sparing radical prostatectomy.
Male ; Rats ; Animals ; Prostate/diagnostic imaging* ; Paraffin ; Indocyanine Green ; Rats, Sprague-Dawley ; Fluorescent Dyes

Objective To evaluate the quality of postoperative recovery of patients undergoing cardiac great vessels surgery by 15-item Recovery Quality Score Scale(QoR-15),to retrospectively analyze the influence of perioperative multi-factors on postoperative recovery quality,and to establish the predictive model.Methods Clinical data of patients who underwent cardiac great vascularsur-gery from March 2020 to September 2022 were collected through electronic medical record system and the postoperative QoR-15 score were evaluated.The data including gender,age,postoperative follow-up time,American Society of Anesthesiologists(ASA)classification,preoperative lactate level,co-morbidities,emergency or not,extracorporeal circulation or not,etc.were collected.The modified frailty index(mFI)was also calculated.Surgical patterns,operation time,extracorporeal circulation time,aortic block time,type of heart recurrence,perioperative fluid therapy,extracorporeal circulation temperature,and other postoperative data as well as postoperative data including ICU retention time after surgery,total length of stay and QoR-15 score were recorded.The univariate and multivariate Logistic regression analysis were then applied to construct a prediction model,and its accuracy was validated.Results A total of 213 patients were included,in which 15 patients were excluded,and 198 postoperative QoR-15 score sheets were received.Gender,ASA classification,preoperative lac-tate level,postoperative follow-up time,and mFI were significant influencing factors on the quality of rehabilitation of patients undergoing cardiac or great vascular surgery.The prediction model of ln(p/1-p)=-5.571+0.862 × gender+3.844 × ASA classification+3.143 × preoperative lactate level+2.001 × postoperative follow-up time+3.712 × mFI,which had good predictive and classifi-cation effects.Conclusion Gender,ASA classification,preoperative lactate level,postoperative follow-up time and mFI are influencing factors on the recovery quality of patients after cardiac great vascular surgery.

Objective To evaluate the quality of postoperative recovery of patients undergoing cardiac great vessels surgery by 15-item Recovery Quality Score Scale(QoR-15),to retrospectively analyze the influence of perioperative multi-factors on postoperative recovery quality,and to establish the predictive model.Methods Clinical data of patients who underwent cardiac great vascularsur-gery from March 2020 to September 2022 were collected through electronic medical record system and the postoperative QoR-15 score were evaluated.The data including gender,age,postoperative follow-up time,American Society of Anesthesiologists(ASA)classification,preoperative lactate level,co-morbidities,emergency or not,extracorporeal circulation or not,etc.were collected.The modified frailty index(mFI)was also calculated.Surgical patterns,operation time,extracorporeal circulation time,aortic block time,type of heart recurrence,perioperative fluid therapy,extracorporeal circulation temperature,and other postoperative data as well as postoperative data including ICU retention time after surgery,total length of stay and QoR-15 score were recorded.The univariate and multivariate Logistic regression analysis were then applied to construct a prediction model,and its accuracy was validated.Results A total of 213 patients were included,in which 15 patients were excluded,and 198 postoperative QoR-15 score sheets were received.Gender,ASA classification,preoperative lac-tate level,postoperative follow-up time,and mFI were significant influencing factors on the quality of rehabilitation of patients undergoing cardiac or great vascular surgery.The prediction model of ln(p/1-p)=-5.571+0.862 × gender+3.844 × ASA classification+3.143 × preoperative lactate level+2.001 × postoperative follow-up time+3.712 × mFI,which had good predictive and classifi-cation effects.Conclusion Gender,ASA classification,preoperative lactate level,postoperative follow-up time and mFI are influencing factors on the recovery quality of patients after cardiac great vascular surgery.