OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective:To explore the application effectiveness of multidisciplinary team(MDT)in the diagnosis and treatment of chronic refractory wounds,and to provide new ideas for optimizing the clinical diagnosis and treatment of such diseases.Methods:A retrospective analysis was performed on the clini-cal data of patients with chronic refractory wounds who underwent surgery at Peking University Third Hos-pital from January 2015 to October 2023,and a total of 456 patients,including 290 males and 166 females,with an average age of(49.4±16.9)years.According to whether preoperative MDT discussion was conducted,the patients were divided into MDT discussion group and non-MDT discussion group.The overall implementation process of MDT included:Starting and recording with the medical office,collec-ting data and discussing the initial MDT,informing the patient of the treatment plan and strictly imple-menting it,and the change of the condition needs to be discussed again by MDT.The general clinical da-ta,anesthesia risk grade,complications(hypertension,diabetes,coronary heart disease),and the etiology and location of chronic refractory wounds between the two groups were compared.The main observational measurements and outcome indicators of treatment effectiveness included the number of sur-geries required to achieve wound healing after admission,the recurrence rate after wound healing,the incidence of perioperative complications(pulmonary infection,severe cardiovascular event,vein thrombus embo-lism,cerebral stroke and delirium,etc.),and patient satisfaction score.Results:There were 189 patients in the MDT discussion group and 267 patients in the non-MDT discussion group.There was no significant statistical difference in the clinical data,such as age,gender,body mass index,American Society of Anesthesiologists,comorbidities,etiology,and location of chronic refractory wounds between the two groups(P＞0.05).The average number of surgeries required for wound healing in MDT discussion group and non-MDT discussion group was 2.1±1.1 and 2.8±1.6,respectively,with a sta-tistically significant difference(P＜0.001).This difference was also significant in chronic refractory wounds caused by three etiologies:Diabetic ulcer,infection after trauma or surgery,and non-union after radiotherapy(P＜0.05).The recurrence rate of the patients in the non-MDT discussion group after wound healing was 18.0％,slightly higher than that in the MDT discussion group of 14.3％(P＞0.05).In terms of perioperative complications,the non-MDT discussion group also had a higher incidence(3.7％vs.2.6％),but the difference was not statistically significant(P＞0.05).In terms of patient satisfac-tion,the MDT discussion group scored significantly higher(96.5 vs.91.1,P=0.028).Conclusion:The MDT mode can significantly reduce the number of surgeries for patients with chronic refractory wounds,improve the effectiveness of therapy and increase patient satisfaction.It is a recommended model for optimizing the clinical diagnosis and treatment effectiveness of chronic refractory wounds.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases.Accurately predicting microbe-disease interactions(MDIs)offers critical insights for disease intervention and pharmaceutical research.Current advanced AI-based technologies automatically generate robust representations of microbes and diseases,enabling effec-tive MDI predictions.However,these models continue to face significant challenges.A major issue is their reliance on complex feature extractors and classifiers,which substantially diminishes the models' generalizability.To address this,we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer po-tential MDIs.Initially,we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation.Secondly,we employ decoupled representation learning technology,compelling the graph neural network(GNN)to independently learn the weights for each feature subspace,thus enhancing its expressive power.Finally,we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN,reducing information loss due to occlusion.Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models.This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research.Code and data are accessible at:https://github.com/shmildsj/MDI-IFDRL.

Objective To explore the safety and feasibility of posterior quadratus lumborum block(PQLB)in patients undergoing laparoscopic myomectomy.Methods A retrospective analysis was conducted on clinical data of 62 gynecological patients who underwent laparoscopic myomectomy from July 2021 to July 2024.The patients were divided into two groups based on the preoperative blocking method:the PQLB group and the transversus abdominis plane block(TAP)group,with 31 patients in each group.In the PQLB group,bilateral PQLB was performed under ultrasound guidance with 20 ml of 0.35％ropivacaine on each side.In the TAP group,bilateral transversus abdominis plane blocks were performed under ultrasound guidance with 20 ml of 0.4％or 0.5％ropivacaine on each side.The mean arterial pressure and heart rate were recorded before anesthesia(T0),at the time of the block(T1),at skin incision(T2),and during the recovery period(T3).The local anesthetic toxicity,nerve injury,intraoperative opioid consumption,postoperative remedial analgesic usage and dosage,as well as the incidence of nausea and vomiting,were monitored.Results The operations were successfully completed in all the 62 patients.No significant differences were observed between the two groups in mean arterial pressure(F=0.323,P=0.572)and heart rate(F=0.195,P=0.660)at 4 different time points.There were no significant differences in the dosage of anesthetic analgesics during surgery(Z=-0.458,P=0.647)and length of hospital stay(Z=-1.652,P=0.099)between the two groups.The postoperative remedial analgesic usage rate in the PQLB group was significantly lower than that in the TAP group(32.3％vs.74.2％,x2=10.949,P=0.000).Within 48 h after operation,the use of non-steroidal anti-inflammatory drugs(NSAIDs)dosage in the PQLB group was significantly lower than that in the TAP group[0(0,0)mg vs.400(0,1600)mg,Z=-4.849,P=0.000],and no significant difference was observed between the two groups in the use of opioid(tramadol)dosage(Z=-0.045,P=0.964).There was no significant difference in the incidence of postoperative nausea and vomiting(P＞0.05).The scores of numeric rating scale for abdomial wall pain and visceral pain in the PQLB group at 12 and 24 h after surgery did not exceed 3 points.No local anesthetic toxicity or nerve injury was observed.Conclusion PQLB provides effective analgesia for patients undergoing laparoscopic myomectomy,offering better control of visceral pain,helping reduce intraoperative opioid consumption,and lowering the risk of postoperative adverse reactions.

Objective To construct a quality evaluation index system for training injury rehabilitation in military regional rehabilitation centers,so as to promote the systematization and standardization of quality management and provide references for the formulation of relevant policies.Methods The"structure-process-result"three-dimensional quality system model,literature analysis,semi-structured interview,and Delphi method were used to establish the index system,and its reliability and validity were tested.Results Twenty-two inquiry forms were distributed in two rounds of this study,and the effective recovery rates of the two rounds of expert correspondence were 100%.The authority coefficients(Cr)were 0.869 and 0.881,and the Kendall harmony coefficients were 0.230 and 0.339,respectively.The empirical verification showed good reliability and validity.The evaluation index system consisted of 3 primary indexes,12 secondary indexes and 48 tertiary indexes.Conclusion The index system is feasible,reliable and scientific,and can provide a practical and operable evaluation method for the rehabilitation quality management of training injuries.

Objective To compare the efficacy of stenting in the treatment of idiopathic intracranial hypertension(IIH)complicated by different types of venous sinus stenosis(VSS).Methods The clinical data of 48 patients with IIH complicated by VSS,who received stenting therapy at the First Affiliated Hospital of Zhengzhou University of China from January 2019 to September 2023,were retrospectively analyzed.According to the type of VSS,the patients were divided into intrinsic stenosis group(n=20)and the extrinsic stenosis group(n=28).The improvement of symptoms,Frisén grade of papilledema,lumbar puncture opening pressure(LPOP),trans-stenosis pressure gradient(△P)of VSS,and surgery-related complications were compared between the two groups.Results The mean age of the patients in the intrinsic stenosis group was greater than that of the patients in the extrinsic stenosis group(41.60 years vs.35.25 years,P=0.049).The length of the narrowed segment in the extrinsic stenosis group was 22.5 mm,which was significantly longer than 19.0 mm in the intrinsic stenosis group(P=0.007).The postoperative Frisén grade of papilledema in the extrinsic stenosis group was obviously lower than that in the intrinsic stenosis group(P=0.037).No statistically significant differences in the other clinical data existed between the two groups(all P＞0.05).After stenting,all of the median △P,mean LPOP,and median Frisén grade of papilledema were decreased significantly when compared with their preoperative values(all P＜0.001),and the postoperative 3-day median Frisén grade of papilledema in the extrinsic stenosis group was much lower(P=0.037).The patients were followed up for one year,the clinical symptoms of the patients in both groups were improved to varying degrees.At the time of discharge,the proportion of patients having no symptoms of papilledema in the extrinsic stenosis group was 57.1％,which was higher than 22.2％in the intrinsic stenosis group(P=0.049),and no statistically significant differences in the improvements of other symptoms existed between the two groups(all P＞0.05).There was no significant difference in the incidence of complications between the two groups(P=0.563).Conclusion Venous sinus stenting can effectively treat patients with IIH complicated by different types of VSS.

Objective To investigate the effect of tritiated water on the immune system of zebrafish and its potential molecular mechanism. Methods Zebrafish embryos (2.5 to 3 hours post-fertilization [hpf]) were exposed to 3.7 × 10⁴ Bq/mL tritiated water (tritiated water group), and those exposed to E3 culture medium were used as the control group. The mortality rate, hatching rate, deformity rate, heart rate, body length, yolk sac area, neutrophil count in the tail, immune-related gene expression, and immune-related protein expression of zebrafish in the two groups were determined. Then transcriptome technology was used to further analyze the possible mechanism of tritiated water affecting the immune system of zebrafish. Results Compared with the control group, zebrafish at 72 hpf in the tritiated water group had no significant changes in the mortality rate, hatching rate, deformity rate, body length, and yolk sac area((t = 0.9045, 0.5000, 1.0000, 0.7238, 0.0337, P = 0.4169, 0.6433, 0.3739, 0.4785, 0.9735), but had significantly increased heart rate(t = 4.575，P = 0.002). At 4 days post-fertilization (dpf), the neutrophil count in the tail of zebrafish in the tritiated water group was significantly increased(t = 2.563，P = 0.0196), the mRNA expression of TNF-α was significantly decreased(t = 2.891, P = 0.045), the protein expression of nuclear factor-kappa B (NF-κB) was significantly increased(t = 3.848, P = 0.018), and the protein expression of NLRP3 was significantly decreased(t = 14.98, P = 0.001). At 7 dpf, the neutrophil count in the tail and the protein expression levels of NF-κB, NLRP3, and interleukin-1β were significantly decreased(t = 3.772, 7.048, 15.620, 4.423, P = 0.014, 0.002, 0.0001, 0.012). Transcriptome sequencing revealed that differentially expressed genes were mainly enriched in the “neutrophil activation” and “platelet activation pathways” at 4 dpf and in the “neutrophil apoptosis”, “ferroptosis”, and “necroptosis” pathways at 7 dpf. Conclusion Tritiated water exposure induces a temporally dynamic immune response in zebrafish, potentially affecting immune homeostasis by regulating neutrophil activation and apoptosis, as well as the expression of NF-κB and NLRP3.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.