Objective: To establish evidence-based, safe and efficient management of HIV-reactive blood donors by investigating safe and feasible assessment strategies for HIV-reactive blood donors based on routine blood screening data. Methods: The data of blood screening, supplementary testing, follow-up and CDC confirmation for HIV-reactive blood donors in our center from 2014 to 2024 were analyzed systematically to confirm HIV infection and identify infection status. Results: There were 1 235 samples (0.13%, 1 235/928 000) reactive in HIV blood screening over the 11-year period. A-mong them, 199 donors (16.11%) in asymptomatic HIV infection (HIV Ag/Ab++&HIV RNA+), 2(0.16%) as acute early HIV infection (HIV Ag/Ab+-&HIV RNA+) and 7(0.57%) as window-period infection (HIV RNA positive only) were confirmed. Donors with the result of HIV Ag/Ab+-&HIV RNA-(single-positive) were all excluded for HIV infection, while 1 in 6 HIV Ag/Ab++&HIV RNA-donors (double-positive) was confirmed to have HIV infection. When HIV Ag/Ab reagents were used continuously before and after the follow-up, it's observed in one reagent that the proportion of negative results in subsequent follow-up in single-positive donors who had negative results in the first sampling was significantly higher than the proportion of negative results in subsequent follow-up in those initially single-positive (P<0.05). But no significant difference was observed in another reagent (P>0.05). When reagents were changed in follow-up, the rate of singlepositive donors with negative results in the first sampling reached 96.7%, which was significantly higher than the negative rate of those without reagent changing in follow-up (P<0.05). Conclusion: Based on the serological and nucleic acid testing results of HIV blood screening, the confirmation of HIV infection and identification of infection status can be achieved accurately and efficiently. All HIV Ag/Ab+-&HIV RNA-donors were confirmed as false positive, and should be maintained their eligibilities for blood donation, but recommended to pass the retest before next donation. Using a different reagent for retesting helps improve the eligible rate. HIV Ag/Ab++&HIV RNA-donors should be deferred permanently due to the risk of true positivity.

Objective: To explore the management of blood donors tested reactive to HCV in blood screening based on confirmation of HCV infection. Methods: Multiple HCV antibody assays, repeating HCV RNA testing, follow-up of blood donors and retesting of archive samples were performed to confirm HCV infection, identify infection status, and exclude false positives in blood donors reactive to HCV in blood screening. Results: From 2011 to 2024, the unqualified rate of HCV detection in blood screening was 2.45‰(2 751/1 122 026). Among these, anti-HCV+-&NAT-accounted for 1.85‰, followed by anti-HCV++ at 0.60‰. The proportion of anti-HCV+-&NAT-and HCV RNA yields was extremely low (0.007‰). The positive rate of anti-HCV+-&NAT-samples tested by electrochemiluminescence method (ELCIA) was approximately 7.5%, differing among reagents (P<0.05). The follow-up of anti-HCV+-&NAT-donors showed that 96.2% (202/210) were false positives, but 51.4% of donors remained anti-HCV+-&NAT-during follow-up. Among them, 8 donors (3.8%) could not be ruled out from HCV infection due to positive retesting by ELCIA. Of the anti-HCV+-&NAT-donors who were reactive at the first follow-up, 86.8% remained anti-HCV+-&NAT-at the second follow-up. The sampling confirmation data showed that all of 260 anti-HCV++ donors were confirmed as anti-HCV positive, and the proportion of false positives or missed detections by NAT was very low. Two occult HBV infections (OBIs) and one HBsAg carrier were identified among the 3 anti-HCV +-&NAT+ donors, and no HCV infection was confirmed in 5 anti-HCV--&HCV RNA + donors. Conclusion: The prevalence of HCV among blood donors in Dalian was about 0.06%, with extremely low proportion of window-period infection and slightly higher proportion of resolved infections than that of current infections. The majority of anti-HCV+-&NAT-were false positive. Blood donors confirmed as false positive should be qualified in blood screening 3 months later before next donation. In order to reduce the false positive results, it was advisable to avoid the same type of supplementary reagents as the initial reagents when performing confirmation.

Objective: To evaluate repeated testing on blood screening platforms in confirmation of non-discriminatory reactive (NDR) samples in nucleic acid testing (NAT). Methods: A total of 102 HBsAg-negative/NAT NDR samples were collected from voluntary blood donors at Dalian Blood Center between January 2021 and December 2023. Repeated testing was performed using two NAT platforms (Cobas s201 and Panther). For the first round of repeated testing, all samples were tested 12 times on each system; for the second round, the samples which were non-reactive or only reactive once in the first round were tested an additional 8 times. Anti-HBc and anti-HBs was detected using electrochemiluminescence assay (ECA). Meanwhile, blood donors were followed up. Results: The proportion of anti-HBc+ in 102 NDR samples was 88.2%. Forty-one samples (40.2%, 41/102) and 7 samples were confirmed HBV DNA+ in first-round and second-round repeated testing, respectively. The cumulative confirmation rate of HBV DNA+ was 47.1% (48/102) after repeated testing. Extra five blood donors detected HBV DNA+ in follow-up were identified as anti-HBc+ occult hepatitis B virus infection (OBI), while no window period infection was observed. Ultimately, there were 53 HBV infected donors confirmed, 46 HBV infection-unconfirmed, and 3 HBV uninfected. No significant difference was observed between the confirmation rate of the first-round testing and the cumulative confirmation rate after the second-round testing (P>0.05). The proportion of anti-HBc+ donors was quite high in both HBV infection-confirmed (98.1%) and unconfirmed group (82.6%), and donors with seronegative and anti-HBs-only occupied a high proportion in the latter (P<0.05). Conclusion: Numerous repeated testing of NDR samples using NAT platforms cannot achieve complete confirmation of HBV infection. Supplementary anti-HBc testing can minimize potential OBI risk among NDR donors, and is low-cost and efficient.

ObjectiveTo identify the characteristic exhaled volatile organic compounds （VOCs） associated with postoperative pulmonary complications （PPCs） in patients after abdominal surgery. MethodsThis study prospectively enrolled 76 patients with tracheal intubation who were transferred to intensive care unit （ICU） after abdominal surgery at Peking University People's Hospital between December 10， 2022 and June 30， 2023. The patients' basic information was collected during their perioperative period， and their exhaled VOCs were collected within 24 hours after their admission to the ICU， and then analyzed by gas chromatography and mass spectrometry （GC-MS）. According to whether PPCs occurred 24 hours after surgery， the patients were divided into PPCs group （n=44） and non-PPCs group （n=32）， and the differences of VOCs were compared between the two groups. Lasso regression analysis was used to screen the valuable variables of VOCs， and Logistics regression analysis to determine the characteristic VOCs associated with the occurrence of PPCs. ResultsAmong the 76 patients， 44 had PPCs and 32 had no PPCs. Lasso regression analysis screened 4 PPCs-related compounds from exhaled VOCs of two groups for further analysis and Logistics regression analysis showed that the increase of 1-Hexadecanol content in exhaled breath was significantly correlated with the occurrence of PPCs （OR： 1.000， P=0.002）. ConclusionThis study indicated that the increased content of 1-Hexadecanol in patients' exhaled breath after abdominal surgery may be associated with the occurrence of PPCs.

One of its primary surgical treatments of tricuspid regurgitation is tricuspid valve biological valve replacement. Catheter tricuspid valve-in-valve implantation is a novel interventional alternative for biological valve failure. The non-invasive lung fluid measuring device remote dielectric sensing (ReDSTM) has been increasingly incorporated into clinical practice as a means of monitoring chronic heart failure in recent years. This report describes the process and outcomes of the first instance of perioperative lung fluid volume evaluation following transcatheter tricuspid valve implantation utilizing ReDSTM technology. The patient has a short-term, substantial increase in postoperative lung fluid volume as compared to baseline.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

Objective To investigate the impact of new-onset atrial fibrillation(AF)on all-cause mortality in elderly patients with hypertension having no previous history of AF.Methods A retrospective study was conducted on 1352 elderly hypertensive inpatients who had no history of AF and received long-term follow-up in Chinese PLA General Hospital from January 2014 to June 2017.According to having newly developed AF or not,they were divided into a new-set AF group(191 cases)and a control group(1161 cases).Kaplan-Meier survival curve was plotted for survival analysis and multivariate Cox survival analysis was performed to identify risk factors for all-cause mortality.Results Compared with the control group,the new-onset AF group exhibited significantly advanced age,higher urea level,lower diabetes ratio,and decreased hemoglobin level(P＜0.05,P＜0.01).Kaplan-Meier survival curve analysis showed that the cumulative mortality of the new-onset AF group was significantly higher than that of the control group(P＜0.01).Multivariate Cox regression analysis revealed that age＞75 years(HR=4.562,95％CI:3.104-6.705,P＜0.01),anemia(HR=2.543,95％CI:1.939-3.334,P＜0.01),new-onset AF(HR=1.494,95％CI:1.185-1.884,P＜0.01),eGFR＜60 mL/(min·1.73 m2)(HR=1.729,95％CI:1.389-2.151,P＜0.01),and heart failure(HR=1.539,95％CI:1.173-2.019,P＜0.01)were risk factors for all-cause mortality in elderly hypertensive patients without a history of AF.Conclusions New-onset AF is closely associated with an increased risk of all-cause mortality in elderly hypertensive patients without a previous history of AF.

OBJECTIVE To develop a prediction model for durable clinical benefit （DCB） in patients with advanced esophageal squamous cell carcinoma （ESCC） receiving programmed death-1 （PD-1） inhibitor. METHODS The clinical data of patients with advanced ESCC who received PD-1 inhibitor in Jieyang People’s Hospital were retrospectively collected between January 2020 to December 2023. Predictors were screened by least absolute shrinkage and selection operator （Lasso） regression， and a multivariable Logistic regression model was developed to predict DCB. A nomogram was constructed based on the model. Internal validation of the prediction model was performed by using the Bootstrap method， and the model was evaluated by the receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis. RESULTS A total of 91 patients with advanced ESCC were included. The results of Lasso regression combined with Logistic regression analysis indicated that the baseline lymphocyte monocyte ratio （LMR） [odds ratio （OR）＝1.97， 95% confidence interval （CI）： 1.15-3.36， P＝0.013]， albumin （ALB） content （OR＝1.35， 95%CI： 1.13-1.60， P＜0.001）， body mass index （BMI） category 1 [normal vs. low： OR＝ 0.28， 95%CI （0.09-0.96）， P＝0.042]， BMI category 2 [overweight-obesity vs. low： OR＝0.08， 95%CI （0.01-0.59）， P＝0.013]， and treatment regimen [monotherapy vs. monotherapy combination therapy： OR＝0.07， 95%CI （0.01-0.50）， P＝0.008] were predictive factors for patients with advanced ESCC to achieve DCB when treated with PD-1 inhibitor. A prediction model was constructed based on the above indicators. Internal validation of the model using the Bootstrap method showed an area under the curve of 0.831 （95%CI： 0.746-0.904）， with specificity of 74.4% and sensitivity of 75.0%. The Hosmer-Lemeshow test yielded χ2＝ 9.930， P＝0.270， and the calibration curve slope was close to 1. The decision curve analysis demonstrated that the model exhibited good clinical utility within a threshold range of 0.1 to 1.0. CONCLUSIONS The prediction model based on baseline LMR， ALB content， BMI， and treatment regimen demonstrates robust predictive performance and clinical utility for assessing therapeutic efficacy of PD-1 inhibitor in the treatment of advanced ESCC.

The anti-inflammatory phytochemical investigation of the leaves of Illicium dunnianum (I. dunnianum) resulted in the isolation of five pairs of new lignans (1-5), and 7 known analogs (6-12). The separation of enantiomer mixtures 1-5 to 1a/1b-5a/5b was achieved using a chiral column with acetonitrile-water mixtures as eluents. The planar structures of 1-2 were previously undescribed, and the chiral separation and absolute configurations of 3-5 were reported for the first time. Their structures were determined through comprehensive spectroscopic data analysis [nuclear magnetic resonance (NMR), high-resolution electrospray ionization mass (HR-ESI-MS), infrared (IR), and ultraviolet (UV)] and quantum chemistry calculations (ECD). The new isolates were evaluated by measuring their inhibitory effect on NO in lipopolysaccharide (LPS)-stimulated BV-2 cells. Compounds 1a, 3a, 3b, and 5a demonstrated partial inhibition of NO production in a concentration-dependent manner. Western blot and real-time polymerase chain reaction (PCR) assays revealed that 1a down-regulated the messenger ribonucleic acid (mRNA) levels of tumor necrosis factor α (TNF-α), interleukin-6 (IL-6), COX-2, and iNOS and the protein expressions of COX-2 and iNOS. This research provides guidance and evidence for the further development and utilization of I. dunnianum.
Lignans/isolation & purification* ; Plant Leaves/chemistry* ; Anti-Inflammatory Agents/isolation & purification* ; Mice ; Animals ; Molecular Structure ; Plant Extracts/pharmacology* ; Illicium/chemistry* ; Cyclooxygenase 2/immunology* ; Interleukin-6/immunology* ; Nitric Oxide/metabolism* ; Cell Line ; Tumor Necrosis Factor-alpha/immunology* ; Nitric Oxide Synthase Type II/immunology* ; Lipopolysaccharides