Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95％CI(0.742,0.866)]and 0.786[(95％CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31％,the clinical benefit rates of the experimental cohort and validation cohort were 51％and 56％,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.

Objective:To evaluate the values of 18F-PI-2620 PET/CT brain imaging with SUV ratio (SUVR) in the assessment of tau protein deposition in the brain of patients with different cognitive disorders and its correlation with cognition. Methods:This was a cross-sectional study. From December 2019 to November 2022, a total of 67 subjects including 54 patients with Alzheimer′s disease (AD; 21 males, 33 females, age (68.6±7.8) years), 7 patients with mild cognitive impairment (MCI; 1 male, 6 females, age (63.1±11.2) years) and 6 healthy controls (HC; 4 males, 2 females, age (69.0±5.8) years) were enrolled retrospectively in Renji Hospital. All participants were examined by 18F-PI-2620 PET/CT. SUVRs of brain regions were obtained, including frontal lobe, temporal lobe, occipital lobe, parietal lobe, insular lobe, whole brain, as well as 10 independent brain ROIs (amygdala, orbitofrontal cortex, cingulate gyrus, superior occipital gyrus, superior parietal gyrus, inferior angular gyrus, precuneus, inferior temporal gyrus, entorhinal cortex and parahippocampal gyrus), with inferior cerebellum cortex as the reference region. All participants were estimated by cognitive scales(mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA)). One-way analysis of variance and the least significant difference t test were used to compare the differences of SUVR in each brain region among HC, MCI and AD groups. ROC curve analysis was used to determine the optimal cut-off values of SUVR in each brain region for the differential diagnosis of AD-MCI and AD-HC. Pearson correlation analysis was employed to examine the correlations of SUVR with cognitive scale scores. Results:The SUVR of whole brain was 1.40±0.31 in AD group, 1.08±0.19 in MCI group, and 1.01±0.12 in HC group. SUVR analysis in the whole brain and each brain region could distinguish AD from HC, AD from MCI ( F values: 1.76-10.09, t values: 2.98-7.47, all P<0.05), but could not distinguish HC from MCI ( t values: 0.17-1.53, all P>0.05). ROC curve analysis showed that the best cut-off value of SUVR was 1.18 for whole brain (AUC=0.89), 1.13 for amygdala (AUC=0.94) and 1.26 for parahippocampal gyrus (AUC=0.94) for differential diagnosis of AD and HC, which was 1.06 for whole brain (AUC=0.82), 1.18 for amygdala (AUC=0.88) and 1.28 (AUC=0.88) for infratemporal gyrus to differential diagnosis of AD and MCI. SUVRs of the whole brain, frontal, occipital, parietal, temporal and insula were significantly negatively correlated with MMSE and MoCA cognitive scale scores ( r values: from -0.64 to -0.40, all P<0.05). Conclusions:SUVR quantitative analysis in 18F-PI-2620 PET imaging can assist the differential diagnosis of AD and HC, AD and MCI. The SUVRs of whole brain and five lobes show negative correlations with MMSE and MoCA scores.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To assess the diagnostic efficiency of 18F-FDG PET for Alzheimer′s disease (AD) in patients with memory impairment. Methods:A retrospective analysis was conducted on 96 patients (40 males, 56 females, age: 69.0(62.8, 74.0) years) initially diagnosed with memory impairment in Renji Hospital, School of Medicine, Shanghai Jiao Tong University between August 2019 and September 2023. The amyloid-tau-neurodegeneration (ATN) criteria, based on 18F-AV45+ 18F-PI-2620 PET/CT+ MRI imaging results, were used as the diagnostic standard for AD. Visual analysis (temporoparietal or posterior cingulate cortex (PCC) hypometabolism) and semi-quantitative analysis methods (PET-SCORE and NeuroQ software analysis (SUV ratio, SUVR)) were applied to evaluate the diagnostic efficiency of 18F-FDG PET imaging for AD. Diagnostic efficiencies of visual assessment and semi-quantitative parameters were compared by χ2 test. Additionally, Pearson correlation analysis was performed to examine the relationship between results of PET-SCORE and cognitive scales. Results:Of the 96 patients initially diagnosed with memory impairment, 61 were clinically diagnosed with AD, while 35 were non-AD patients. Visual assessment of temporoparietal hypometabolism showed the highest sensitivity (91.80%, 56/61), which was significantly different from the sensitivities of PET-SCORE (40.98%(25/61); χ2=29.03, P<0.001) and visual assessment of PCC hypometabolism (77.05%(47/61); χ2=5.82, P=0.016). While semi-quantitative assessment using PET-SCORE demonstrated the highest specificity (100%, 35/35), which was significantly different from the specificities of visual assessment methods (temporoparietal hypometabolism: 17.14%(6/35), χ2=27.03, P<0.001; PCC hypometabolism: 54.29%(19/35), χ2=14.06, P<0.001). PET-SCORE exhibited statistically significant correlations with Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Activities of Daily Living (ADL) scores ( r values: -0.38, -0.36, 0.31, all P<0.01). Conclusions:Among patients initially diagnosed with memory impairment, visual assessment in 18F-FDG PET imaging analysis demonstrates higher sensitivity, while semi-quantitative analysis using PET-SCORE exhibits higher specificity. PET-SCORE shows statistically significant correlation with the severity of cognitive decline.

This study first optimized the processing technology for Zhangbang vinegar-processed Olibanum and investigated its in vitro anticoagulant activity. A multi-index-response surface methodology was used, with yield, powder yield, and the relative percentage of the content of six non-volatile components [11-keto-boswellic acid(KBA), 3-acetyl-11-keto-boswellic acid(AKBA), β-elemonic acid, α-boswellic acid(α-BA), β-boswellic acid(β-BA), and α-acetyl-boswellic acid(α-BA)] and three volatile components(octyl acetate, incensole, and incensole acetate) as evaluation indicators. Analytical hierarchy process(AHP) combined with coefficient of variation method was used to calculate the weight of each indicator and calculate the comprehensive score(OD). Furthermore, response surface methodology was used to investigate the effects of frying temperature(A), burning time(B), rice vinegar dosage(C), and steaming time(D) on the processing technology of vinegar-processed Olibanum. Vinegar-steamed Olibanum was prepared according to the optimal processing technology for in vitro anticoagulant experiments. The results showed that the weights of octyl acetate, incensole, incensole acetate, KBA, AKBA, β-elemonic acid, α-BA, β-BA, α-ABA, yield, and powder yield were 0.358 2, 0.104 5, 0.146 4, 0.032 9, 0.123 7, 0.044 4, 0.022 1, 0.042 2, 0.110 1, 0.012 2, and 0.0032, respectively. The optimal processing technology for Zhangbang vinegar-processed Olibanum was as follows. Olibanum(50 g) with a particle size of 1-5 mm was continuously stir-fried at a low heat of 150-180 ℃ until in a gel-like state, ignited for burning for 15 s, sprayed with 7.5 g of rice vinegar(15%), and steamed for 3 min without fire. Subsequently, the cover was removed, and the product was continuously stir-fried at 150-180 ℃ until in a soft lump shape, removed, cooled, and crushed. The results of the in vitro anticoagulant experiments showed that compared with the blank group, both Olibanum and vinegar-processed Olibanum significantly prolonged the activated partial thromboplastin time(APTT), thrombin time(TT), and prothrombin time(PT) of rat platelet-poor plasma(PPP), and the effect of vinegar-processed Olibanum was significantly better than that of Olibanum(P<0.05). The optimized processing technology for Zhangbang vinegar-processed Olibanum is stable, feasible, and beneficial for the further development and utilization of Olibanum slices. At the same time, using the content of volatile and non-volatile components, yield, and powder yield as indicators, and verifying through pharmacological experiments, the obtained results are more reasonable and credible, and have positive guiding significance for the clinical application of characteristic processed Olibanum products.
Rats ; Animals ; Frankincense ; Acetic Acid ; Powders ; Triterpenes ; Anticoagulants/pharmacology* ; Technology

OBJECTIVE: To evaluate the effectiveness and safety of Zhenqi Buxue Oral Liquid (ZQ), progesterone capsules, and their combination in treating oligomenorrhea and hypomenorrhea with qi-blood and Kidney (Shen) essence deficiency. METHODS: This was a prospective, randomized, multi-center controlled trial between June 2022 to December 2022. Ninety-six oligomenorrhea and hypomenorrhea patients with qi-blood and Shen essence deficiency were randomly assigned to receive ZQ (ZQ group, 29 cases), progesterone capsules (PG group, 32 cases), or the combined Chinese and Western medicine (COM group, 31 cases) at a ratio of 1:1:1. Patients in the ZQ or PG group took daily 10 mL twice a day of ZQ or 200 mg once a day of progesterone capsules for 10 consecutive days on day 15 of the menstrual cycle respectively, and patients in the COM group received the same ZQ combined with progesterone capsules. The treatment course lasted for 3 months and follow-up was performed at 1 and 3 months after the end of treatment. Primary endpoint was the menstrual Traditional Chinese Medicine Syndrome Scale (TCMSS) scores. Secondary endpoints included pictorial blood loss assessment chart (PBAC) scores, clinical efficacy rate, 36-item Short Form Health Survey (SF-36) scores, sex hormones and thickness of endometrium. Adverse events (AEs) were recorded. RESULTS: TCMSS scores after 1- and 3-month treatment in all groups were significantly lower than those at baseline (P<0.05). Only TCMSS scores after 3-month treatment in the ZQ and COM groups continuously decreased compared with those after 1-month treatment in the same group (P<0.01). TCMSS scores after 3-month treatment in the ZQ and COM groups were significantly lower than those in the PG group (P<0.05, P<0.01). Compared with baseline, PBAC scores in the ZQ and COM groups after 3 months of treatment were also significantly higher (both P<0.01). The total effective rates of TCM syndrome of 3-month treatment were significantly improved in all groups compared with that after 1 month of treatment (P<0.05). The total effective rate of the COM group was the highest in the 3rd month of treatment and significantly higher than that of PG group alone (P<0.05). Compared with baseline, only the SF-36 scores of COM group were significantly improved after 3 months of treatment (P<0.05). No serious adverse reactions were observed after treatment. CONCLUSIONS The combination of ZQ and PG, or ZQ only had better effects on reducing TCMSS scores compared with PG, and COM showed the higher total effective rate compared with monotherapy. Besides, COM could effectively improve menstrual blood loss and quality of life. ZQ combined with PG may be an effective and safe option for oligomenorrhea and hypomenorrhea patients with qi-blood and Shen essence deficiency.
Female ; Humans ; Progesterone/therapeutic use* ; Qi ; Oligomenorrhea/drug therapy* ; Quality of Life ; Prospective Studies ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/adverse effects* ; Capsules ; Kidney

Diagnosis, Differential ; Electrocardiography ; Humans ; Tachycardia, Ventricular ; Torsades de Pointes

Along with the striding of the Chinese medicine(CM) manufacturing toward the Industry 4.0, some digital factories have accumulated lightweight industrial big data, which become part of the enterprise assets. These digital assets possess the possibility of solving the problems within the CM production system, like the Sigma gap and the poverty of manufacturing knowledge. From the holistic perspective, a three-tiered architecture of CM industrial big data is put forward, and it consists of the data integration layer, the data analysis layer and the application scenarios layer. In data integration layer, sensing of CM critical quality attributes is the key technology for big data collection. In data analysis and mining layer, the self-developed iTCM algorithm library and model library are introduced to facilitate the implementation of the model lifecycle methodologies, including process model development, model validation, model configuration and model maintenance. The CM quality transfer structure is closely related with the connection mode of multiple production units. The system modeling technologies, such as the partition-integration modeling method, the expanding modeling method and path modeling method, are key to mapping the structure of real manufacturing system. It is pointed out that advance modeling approaches that combine the first-principles driven and data driven technologies are promising in the future. At last, real-world applications of CM industrial big data in manufacturing of injections, oral solid dosages, and formula particles are presented. It is shown that the industrial big data can help process diagnosis, quality forming mechanism interpretations, real time release testing method development and intelligent product formulation design. As renewable resources, the CM industrial big data enable the manufacturing knowledge accumulation and product quality improvement, laying the foundation of intelligent manufacturing.
Algorithms ; Big Data ; Commerce ; Data Mining ; Medicine, Chinese Traditional ; Quality Control ; Technology, Pharmaceutical

Objective:To explore the clinical characteristics and establish a corresponding prognostic scoring model in patients with early-stage clinical features of hepatitis B-induced acute-on-chronic liver failure (HBV-ACLF).Methods:Clinical characteristics of 725 cases with hepatitis B-related acute-on-chronic hepatic dysfunction (HBV-ACHD) were retrospectively analyzed using Chinese group on the study of severe hepatitis B (COSSH). The independent risk factors associated with 90-day prognosis to establish a prognostic scoring model was analyzed by multivariate Cox regression, and was validated by 500 internal and 390 external HBV-ACHD patients.Results:Among 725 cases with HBV-ACHD, 76.8% were male, 96.8% had cirrhosis base,66.5% had complications of ascites, 4.1% had coagulation failure in respect to organ failure, and 9.2% had 90-day mortality rate. Multivariate Cox regression analysis showed that TBil, WBC and ALP were the best predictors of 90-day mortality rate in HBV-ACHD patients. The established scoring model was COSS-HACHADs = 0.75 × ln(WBC) + 0.57 × ln(TBil)-0.94 × ln(ALP) +10. The area under the receiver operating characteristic curve (AUROC) of subjects was significantly higher than MELD, MELD-Na, CTP and CLIF-C ADs( P < 0.05). An analysis of 500 and 390 cases of internal random selection group and external group had similar verified results. Conclusion:HBV-ACHD patients are a group of people with decompensated cirrhosis combined with small number of organ failure, and the 90-day mortality rate is 9.2%. COSSH-ACHDs have a higher predictive effect on HBV-ACHD patients' 90-day prognosis, and thus provide evidence-based medicine for early clinical diagnosis and treatment.

The 70% ethanol extract of the whole plant of Souliea vaginata was purified by multi-chromatographic methods including macroporous resin,silica gel,Sephadex LH-20,and C18-reversed-phase column chromatography. A new spirocyclic cycloartane triterpenoid was isolated and identified as( 16 R*,20 R*,23 S*,24 R*,25 S*)-16,23: 23,26-diepoxy-15α,24,25-trihydroxy-9,19-cycloart-3β-O-β-D-xylopyranoside( 1),and named as soulieoside S. Its planar structure and relative configuration were determined by spectroscopic techniques including 2 D NMR and HRESI-MS. As one of the main components of S. vaginata,compound 1 was evaluated for its anti-inflammatory activity by a lipopolysaccharide( LPS)-stimulated NO production model in RAW264. 7 macrophages,but it didn't show NO production inhibitory effect.
Actaea/metabolism* ; Glycosides ; Lipopolysaccharides ; Molecular Structure ; Triterpenes/metabolism*