Objective To compare the application effect of platelet rich fibrin(PRF)prepared at different centrifugal speeds in tooth extraction wounds using network meta-analysis statistical method.Methods PubMed,Co-chrane Library,Embase,Web of Science,CNKI,Wanfang,VIP and China Biology Medicine disc(CBM)databases were searched to collect the randomized controlled trials on the effect of PRF in tooth extraction from January 1,2024.Note-Express software was used to select literatures,RevMan5.3 was used to evaluate the quality of the included literatures,and Stata14.0 software was used to perform mesh meta-analysis on outcome indicators such as bone mineral density,bone height loss,visual analog scale of pain(VAS),dry groove,and bleeding after tooth extraction.Results A total of 31 randomized controlled trials were included,including 2 824 extraction sites,involving 7 rotational speeds for PRF preparation(3 000,2 800,2 700,2 300,1 500,1 400,1 300 r/min).The results of cu-mulative sequencing showed that PRF prepared by 2 700 r/min centrifugation had the best effect in improving bone mineral density.In terms of improving the buccal bone height,the PRF prepared by 2 700 r/min centrifu-gation had the best effect.In terms of pain improvement,PRF prepared by 1 500 r/min centrifugation had the best effect;PRF prepared by 2 500 r/min centrifugation had the best effect in reducing the incidence of dry trough.PRF prepared by 2 500 r/min centrifugation was the most effective in reducing bleeding.Conclusion Based on the available evidence,PRF prepared with 2 700 r/min has the best effect on improving bone density and bone height after tooth extraction.In terms of pain improvement,1 500 r/min was the most effective;2 500 r/min was the most effective in improving the incidence of dry trough and bleeding.

Objective:The research group had previously developed an artificial intelligence algorithm to predict sepsis within 24 hours at the triage stage in emergency departments. This research studied the doctors’ response to algorithm-generated risk alerts and designs appropriate physician-algorithm collaboration strategies to further enhance sepsis risk identification capabilities.Methods:The research collected 40 cases of sepsis in the emergency departments from the open medical database MIMIC-IV (Medical Information Mart for Intensive Care) for a collaboration test. The cases were selected according to their typicality and classified according to the model’s confidence in its prediction. A total of 165 emergency doctors from 58 hospitals in China, stratified by professional rank, participated in the study. Four collaboration modes were designed with different information volumes and reading costs using the information offered by the algorithm. During the test, before and after the model presented its results and interpretive information according to the collaboration mode, the doctors were asked to rate the sepsis risk for each sample and record their confidence.Results:Analysis of the 4 704 valid evaluations done by 147 doctors showed that different collaboration modes caused no significant difference on doctors’ detection of sepsis risk. For cases with high model confidence, physicians’ diagnostic accuracy improved by 2.6%±0.6% ( P=0.02) post-algorithm input, with increased confidence in correct judgments. Conversely, for low-confidence model predictions, diagnostic accuracy decreased by 2.6%±1.4% ( P=0.06), accompanied by reduced clinician confidence in accurate assessments. Conclusions:The collaboration effect is mostly determined by the model’s confidence in its prediction. Different collaboration modes cause no significant difference, and doctors of different titles are influenced consistently with the same model confidence. Suggestions for collaboration design are as follow. When the model has low confidence in its own assessment of a patient’s sepsis risk, it should not directly demonstrate its assessment. When the model has high confidence, its assessment can be offered to the doctors as a reference. When predicting sepsis at the triage stage in the emergency departments, no extra interpretive information is needed.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Background/Aims: The aim of this study was to analyze the chronological changes in postoperative complications in surgical ulcerative colitis patients over the past decade in China and to investigate the potential parameters that contributed to the changes. Methods: Ulcerative colitis patients who underwent surgery during 2008–2017 were retrospectively enrolled from 13 hospitals in China. Postoperative complications were compared among different operation years. Risk factors for complications were identified by logistic regression analysis. Results: A total of 446 surgical ulcerative colitis patients were analyzed. Fewer short-term complications (24.8% vs. 41.0%, P=0.001) and more laparoscopic surgeries (66.4% vs. 25.0%, P<0.001) were found among patients who received surgery during 2014–2017 than 2008–2013. Logistic regression suggested that independent protective factors against short-term complications were a higher preoperative body mass index (odds ratio [OR], 0.870; 95% confidence interval [CI], 0.785–0.964; P=0.008), laparoscopic surgery (OR, 0.391; 95% CI, 0.217–0.705; P=0.002) and elective surgery (OR, 0.213; 95% CI, 0.067–0.675; P=0.009). The chronological decrease in short-term complications was associated with an increase in laparoscopic surgery. Conclusions Our data revealed a downward trend of short-term postoperative complications among surgical ulcerative colitis patients in China during the past decade, which may be due to the promotion of minimally invasive techniques among Chinese surgeons.

Using chemoproteomic techniques, we first identified EIF2AK2, eEF1A1, PRDX3 and VPS4B as direct targets of berberine (BBR) for its synergistically anti-inflammatory effects. Of them, BBR has the strongest affinity with EIF2AK2 via two ionic bonds, and regulates several key inflammatory pathways through EIF2AK2, indicating the dominant role of EIF2AK2. Also, BBR could subtly inhibit the dimerization of EIF2AK2, rather than its enzyme activity, to selectively modulate its downstream pathways including JNK, NF-κB, AKT and NLRP3, with an advantage of good safety profile. In EIF2AK2 gene knockdown mice, the inhibitory IL-1β, IL-6, IL-18 and TNF-α secretion of BBR was obviously attenuated, confirming an EIF2AK2-dependent anti-inflammatory efficacy. The results highlight the BBR's network mechanism on anti-inflammatory effects in which EIF2AK2 is a key target, and inhibition of EIF2AK2 dimerization has a potential to be a therapeutic strategy against inflammation-related disorders.

Berberine (BBR) as one of the most effective natural products has been increasingly used to treat various chronic diseases due to its immunosuppressive/tolerogenic activities. However, it is unknown if BBR can be applied without abrogating the efforts of vaccination. Here we show that priming of CD8⁺ T cells in the presence of BBR lead to improved central memory formation (Tcm) with substantially reduced effector proliferation, primarily orchestrated through activation of AMPK and Stat5. Tcm derived from vaccinated mice fed with BBR were able to adoptively transfer protective immunity to naïve recipients. Vaccination of BBR-fed mice conferred better memory protection against infection without losing immediate effector efficacy, suggesting appreciable benefits from using BBR in vaccination. Thus, our study may help to lay the groundwork for mechanistic understanding of the immunomodulatory effects of natural products and their potential use as adjuvant that allows the design of novel vaccines with more desirable properties.

Objective:To compare the efficacy and safety of intravitreal injection of anti-vascular endothelial growth factor drug conbercept and intravitreal dexamethasone implant Ozurdex in the treatment of diabetic macular edema (DME).Methods:A randomized controlled clinical study was performed.Thirty-six DME patients (36 eyes) were enrolled in Weifang Eye Hospital from March 2018 to June 2019.The patients were randomized into Ozurdex group and conbercept group via a random number table, with 18 eyes in each group.Patients received Ozurdex injection once, which was maintained for 6 months, or conbercept injection once a month for 3 times according to grouping.Before and after treatment, the best corrected visual acuity (BCVA) was examined with the International Standard Visual acuity chart and converted to logarithm of minimal angle resolution unit.The intraocular pressure (IOP) was measured using a non-contact tonometer.The central retinal thickness (CRT) was detected by optical coherence tomography (OCT).This study followed the Declaration of Helsinki and was approved by the Ethics Committee of Weifang Eye Hospital.Results:All patients were followed up for 6 months.In Ozurdex group, the BCVA pre-injection and at 1 month, 3, 4, 6 months after the first injection was 0.59±0.22, 0.53±0.20, 0.41±0.16, 0.38±0.19 and 0.56±0.19, respectively.The BCVA at 1 month, 3 and 4 months after the first injection were better than that before injection, and the differences were statistically significant (all at P<0.05).In conbercept group, the BCVA pre-injection and at 1 month, 3, 4, 6 months after the first injection were 0.60±0.23, 0.51±0.17, 0.29±0.13, 0.56±0.18 and 0.60±0.18, respectively.The BCVA at 1 month and 3 months after the first injection were better than that before injection, showing statistically significant differences (all at P<0.05).The CRT at 1 month, 3 and 4 months after the first injection were significantly lower than that before treatment in both the two groups (all at P<0.05).The CRT pre-injection was (498.61±77.14)μm in Ozurdex group, which was significantly higher than (462.17±48.74)μm at 6 months after the first injection ( P<0.05).No significant difference in CRT was found between pre-injection and 6 months after the first injection in conbercept group ( P>0.05).The incidence of high IOP in Ozurdex group was 33.3%(6/18), which was higher than 5.56%(1/18) in conbercept group, with a significant difference ( χ2=4.433, P=0.035).No adverse effects such as aggravation of cataract, lens injury, endophthalmitis, vitreous hemorrhage and retinal detachment was found during the follow-up. Conclusions:For DME, both conbercept and Ozurdex can improve BCVA and reduce CRT.Ozurdex shows durable efficacy and needs fewer injections than conbercept, but conbercept has less effect on IOP and is safer than Ozurdex.

Objective     To share the clinical experience of video-assisted thoracoscopic surgery (VATS) anatomic basal segmentectomy by single-direction method. Methods     The clinical data of 352 patients who underwent VATS anatomic basal segmentectomy in West China Hospital between April 2015 and April 2021 were retrospectively reviewed, including 96 males and 256 females with a median age of 50 (range, 26-81) years. All basal segmentectomies were performed under thoracoscopy, through the interlobar fissure or inferior pulmonary ligament approach, and following the strategy of single-direction and the method of "stem-branch". Results    All patients underwent basal segmentectomy successfully (49 patients of uniportal procedure, 3 patients of biportal procedure and 300 patients of triportal procedure) without addition of incisions or conversion to thoracotomy and lobectomy. The median operation time was 118 (range, 45-340) min, median intraoperative blood loss was 20 (range, 5-500) mL, median drainage time was 2 (range, 1-22) d and median postoperative hospital stay was 4 (range, 2-24) d. The postoperative complications included pneumonia in 6 patients, prolonged drainage (air leakage duration>5 d or drainage duration>7 d) in 18 patients, cerebral infarction in 1 patient and other complications in 2 patients. All patients were treated well and discharged without main complaints. No perioperative death happened. Conclusion    VATS anatomic basal segmentectomy is feasible and safe. It can be performed in a simple manner following the strategy of single-direction.

Objective:To establish a quick on-site emergency detection method for severe fever with thrombocytopenia syndrome virus (SFTSV), dengue virus (DENV), and hantaan virus (HTNV).Methods:This research was based on the traditional TaqMan fluorescent probe technology, using the domestic rapid one-step quantitative RT-PCR kit, combined with the Magnetic induction cycler (Mic) qPCR instrument. The detection limit, specificity and repeatability of this method were evaluated by simulated samples, other virus infected samples and normal human blood samples.Results:Compared with the traditional RT-PCR assay, the required time of this method was greatly shortened, and the detection can be completed within 35 minutes. The limit of quantitation for SFTSV, DENV and HTNV are less than 100copies/PCR. No nonspecific amplification was found in the simulated negative samples and other virus infected samples. All the simulated positive sample for verification could be detected, and coefficient of variation Ct value of each group was less than 4%. Conclusions:The rapid fluorescence quantitative RT-PCR assays have certain application prospects for on-site emergency detection, and provide important technical supports and new directions for the prevention and control of common hemorrhagic fever viruses.

COVID-19 pandemic caused by SARS-CoV-2 infection severely threatens global health and economic development. No effective antiviral drug is currently available to treat COVID-19 and any other human coronavirus infections. We report herein that a macrolide antibiotic, carrimycin, potently inhibited the cytopathic effects (CPE) and reduced the levels of viral protein and RNA in multiple cell types infected by human coronavirus 229E, OC43, and SARS-CoV-2. Time-of-addition and pseudotype virus infection studies indicated that carrimycin inhibited one or multiple post-entry replication events of human coronavirus infection. In support of this notion, metabolic labelling studies showed that carrimycin significantly inhibited the synthesis of viral RNA. Our studies thus strongly suggest that carrimycin is an antiviral agent against a broad-spectrum of human coronaviruses and its therapeutic efficacy to COVID-19 is currently under clinical investigation.