The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

Objective:To investigate the risk factors for unsatisfactory early pain relief after percutaneous vertebroplasty (PVP).Methods:This was a retrospective cohort study, included 208 patients with osteoporotic vertebral compression fracture admitted to Beijing Friendship Hospital, Capital Medical University from January 2019 to March 2020. According to the early pain relief after PVP, they were divided into good pain relief group ( n=188) and poor pain relief group ( n=20). Influence factors were record and compare, including the gender, age, preoperative lumbar bone density, body mass index, number of fractured vertebral bodies, degree of fracture compression, operation time, bone cement leakage, bone cement dispersion, thoracolumbar fascia injury, sarcopenia, and Hospital Anxiety and Depression Scale (HADS) score and visual analogue score of pain between the two groups. Measurement data were expressed as mean ± standard deviation ( ± s), and independent samples t-test was used for comparison between groups; the Chi-square was used for comparison of count data between groups. Univariate and multivariate Logistic regression analysis were used to investigate the independent risk factors for poor early pain relief after PVP. Results:All patients underwent surgery successfully, without serious complications such as cement embolism, cardio-cerebrovascular accident, epidural hematoma, spinal cord and nerve injury. There were no significant differences in operation time, bone cement leakage and bone cement diffusion between the two groups ( P>0.05). The statistical results showed that compared with the good pain relief group, the patients with poor pain relief group had lower preoperative lumbar bone density ( t=2.35, P=0.020), higher proportion of thoracolumbar fascial injury ( χ2=8.66, P=0.003) and sarcopenia( χ2=7.15, P=0.007), higher preoperative HADS score ( t=2.51, P=0.013). Univariate and multivariate Logistic regression analysis showed that lower preoperative bone density, higher preoperative HADS score, and higher proportion of thoracolumbar fascia injury and sarcopenia were independent influencing factors for poor early pain relief after PVP. Conclusions:The poor early pain relief after PVP is associated with lower preoperative lumbar bone density, preoperative complications such as thoracolumbar fascial injury, sarcopenia, and preoperative anxiety. Effective prevention of the above factors should be taken during the perioperative period to avoid serious complications.

Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.

Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.

Objective To explore the risk factors for surgical site infection(SSI)after transforaminal lumbar interbody fusion(TLIF)for the treatment of lumbar degenerative diseases.Methods A total of 1 000 patients who underwent TLIF for lumbar degenerative diseases in our hospital were included and divided into the infection group(n=23)and the non-infection group(n=977)according to whether the surgical incision was infected.General data,surgical and laboratory indicators of patients were collected,and potential risk factors of SSI were screened by univariate analysis and multivariate regression analysis,a nomogram model was established,and its predictive efficiency was validated by the receive operating characteristic(ROC)curve.Results The incidence of SSI in patients after TLIF was 2.3％.The results of univariate analysis showed that age,operative time,intraoperative blood loss,preoperative C-reactive protein(CRP),smoking,and diabetes mellitus were the significant risk factors for the occurrence of SSI.Multivariate regression analysis showed that older age,longer operation time,more intraoperative blood loss,smoking and diabetes mellitus were the independent risk factors for postoperative SSI.ROC curve showed that the nomogram model established in this study has good predictive efficiency.Conclusion Older age,longer operation time,more intraoperative blood loss,smoking,and diabetes mellitus were independent risk factors for postoperative SSI.For patients with these high risk factors,corresponding intervention measures should be taken before operation to reduce the incidence of SSI.

This study was aimed at exploring the epidemiological characteristics of plague,and the evolutionary relation-ships among the isolated plague strains in the Yunnan border area,to provide clues for further studying epidemic causes and ep-idemiological patterns.Plague epidemic data in the border area during the second epidemic period(1982-2007)were collected and analyzed with descriptive epidemiological methods.Whole genome sequences of 262 strains of Yersinia pestis in the border area were obtained for phylogenetic analysis.Plague outbreaks occurred in 17 counties(cities)among 25 border counties(cit-ies);a total of 552 epidemic foci and 123 human cases were identified.The 1.ORI2,1.ORI3,1.IN3,2.ANT and 2.MED geno-types were identified among Yersinia pestis isolated from the Yunnan border area,among which the 1.ORI2 population was dominant.A total of 258 strains of Yersinia pestis from the 1.OR12 population belonged to four subclusters.The Myanmar and Vietnam clade was embedded within the Yunnan clade in the overall phylogeny.The above results indicated that during the sec-ond period of the epidemic,the intensity of plague epidemics in Yunnan's border areas was high,showing a trend of devel-opment from west to south and east.Our findings indicated a risk of cross-border transmission of plague between Yunnan and neighboring countries;therefore,the surveillance,pre-vention,and control of plague in border areas should be strengthened.

The effect of porcine SIRT5 on replication of foot and mouth disease virus type O(FMDV-O)and the underlying regulatory mechanism were investigated.Western blot and RT-qPCR analyses were employed to monitor expression of endoge-nous SIRT5 in PK-15 cells infected with FMDV-O.Three pairs of SIRT5-specific siRNAs were synthesized.Changes to SIRT5 and FMDV-O protein and transcript levels,in addition to virus copy numbers,were measured by western blot and RT-qPCR analyses.PK-15 cells were transfected with a eukaryotic SIRT5 expression plasmid.Western blot and RT-qPCR analyses were used to explore the impact of SIRT5 overexpression on FMDV-O replication.Meanwhile,RT-qPCR analysis was used to detect the effect of SIRT5 overexpression on the mRNA expression levels of type I interferon-stimulated genes induced by SeV and FMDV-O.The results showed that expression of SIRT5 was up-regulated in PK-15 cells infected with FMDV-O and siRNA interfered with SIRT5 to inhibit FMDV-O replication.SIRT5 overexpression promoted FMDV-O replication.SIRT5 over-expression decreased mRNA expression levels of interferon-stimulated genes induced by SeV and FMDV-O.These results suggest that FMDV-O infection stimulated expression of SIRT5 in PK-15 cells,while SIRT5 promoted FMDV-O rep-lication by inhibiting production of type I interferon-stimula-ted genes.These findings provide a reference to further ex-plore the mechanism underlying the ability of porcine SIRT5 to promote FMDV-O replication.

AIM To investigate the protective effect of Mongolian medicine Naru-3 on rat rheumatoid arthritis(RA)using imaging method.METHODS With the rats divided into the normal group,the model group,the positive medicine group,and the low,medium and high dose Naru-3 groups(0.1,0.2 and 0.4 g/kg),the rat model of collagen-induced arthritis(CIA)was established by immune induction method.After 4 weeks of corresponding drug administration,the rats had their changes of arthritis index(AI)level and body weight observed;their serum levels of VEGF,TNF-α and IL-1 detected by ELISA;their synovial hyperplasia and neovascularization evaluated by high-frequency ultrasound and contrast-enhanced ultrasound(CEUS);their bone destruction of ankle joint evaluated by X-ray and high-resolution micro-CT;and their synovial membrane and expressions of CD31,VEGF,TNF-α and IL-1 β observed by HE and immunohistochemistry.RESULTS Compared with the model group,the Naru-3 groups displayed increased rat weight(P＜0.05);no significantly changed AI score(P＞0.05);and overally decreased levels of serum VEGF,TNF-α,synovial membrane thickness,blood flow signal by power Doppler imaging(PDI)and contrast intensity revealed,X-ray score,and CD31 expression(P＜0.05),in addition to the decreased level of IL-1 and HE score in high-dose group(P＜0.05).CONCLUSION Naru-3 is protective to the joint tissue in rat model of RA through alleviating synovitis,bone erosion and delaying the progress of the disease by inhibiting synovial neovascularization and inflammatory cytokines.

AIM To analyze the constituents absorbed into blood and brain from Zhishe Tongluo Capsules.METHODS Sixteen rats were randomly assigned into four groups and given intragastric administration(3.1 g/kg),after which the cerebral ischemia-reperfusion injury(MACO)model was established,the blood and brain tissues were collected,and UHPLC-Q Exactive Focus MS/MS was adopted in the identification of prototype constituents.RESULTS Total 70 constituents were identified,20 of which were found in the blood,mainly including flavonoids,tanshinones and Ligusticum chuanxiong phthalides,and 7 of them could enter the brain through blood-brain barrier.Compared with the normal administration group,the MACO administration group demonstrated added constituents absorbed into blood containing 3-hydroxybenzoic acid,calycosin-7-glucoside,curcumenol,senkyunolide B,dihydrotanshinone I and cryptotanshinone;removed constituents absorbed into brain containing puerarin,elemicin,sedanolide,and added those containing salvianolic acid A,senkyunolide I,dihydrotanshinone I in the left brain tissues(infarcted side).CONCLUSION The constituents absorbed into blood and brain from Zhishe Tongluo Capsules,along with the enhanced absorptions of phthalides,quinones and phenols in MACO rats in vivo may be the active substances for treating cerebral infarction.

Objective To investigate the mechanism of Chonghe soft extract on ulcer wound healing in diabetic rats through protein kinase B(Akt)/mammalian Sirolimus target protein(mTOR)-mediated nucleotides binding oligomeric acid domain-like receptor protein 3(NLRP3)inflammasome inactivation.Methods Thirty six SD rats with diabetic ulcer,which were established by feeding with high glucose and high fat diet and injecting intraperitoneally with streptozocin(STZ)combined with skin defect,were randomly divided into model group,Chonghe soft extract group and growth factor group,with twelve rats in each group.Another twelve SD rats were injected an equal dose of citric acid-sodium citrate buffer solution and used as blank group.The blank group and the model group were not received drug intervention,but the Chonghe soft extract group and the growth factor group were externally applied Chonghe soft extract and growth factor gel,respectively.The wound healing of each group was observed and recorded.After 7 days and 14 days of treatment,the histopathology of wound were observed by HE staining and the number of fibroblasts were counted.The levels of IL-1β,IL-18 and TNF-α in serum were detected by ELISA.The expression of autophagy-related protein Beclin-1 and LC3Ⅱ in granulation tissue was detected by immunohistochemistry.The expression of NLRP3,apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),Caspase1,Pro-Caspase1 and Akt/mTOR autophagy pathway-related proteins Akt,p-Akt,mTOR and p-mTOR were detected by Western Blot.Results Compared with the blank control group,the pathological wound repair of the model group was delayed on the 7th day and 14th day,the number of fibroblasts per unit area was decreased(P<0.01).The levels of IL-1β,IL-18 and TNF-α were increased(P<0.01).The expression levels of ASC,Pro-Caspase1,Caspase1,and NLRP3 were increased in the wound tissues(P<0.01),while the expression levels of Beclin-1,LC3-Ⅱ,mTOR,p-mTOR,Akt and p-Akt were decreased in the wound tissues(P<0.01).Compared with the model group,the pathological injury in Chonghe soft extract group and growth factor group was significantly improved on the 7th day and 14th day.The number of fibroblasts per unit area was significantly increased(P<0.01).The levels of IL-1β,IL-18 and TNF-α were significantly decreased(P<0.01).The expression levels of ASC,Pro-Caspase1,Caspase1,and NLRP3 in the wound tissues were decreased(P<0.01),while the expression levels of Beclin-1,LC3-Ⅱ,mTOR,p-mTOR,Akt and p-Akt were increased(P<0.01,P<0.05).Conclusion Chonghe soft extract can reduce inflammatory reaction,promote the generation of fibro,regulate the Akt/mTOR-mediated NLRP3 inflammasome inactivation,improve the level of autophagy in wound,and promote ulcer wound healing in diabetic rats.