ObjectiveTo explore the effect of different drying conditions on the appearance and intrinsic quality indicators of Pinelliae Rhizoma for screening suitable drying conditions， so as to provide reference for its standardized production and quality evaluation. MethodsDifferent dried samples of Pinelliae Rhizoma were prepared by lime-assisted sweating method and intermittent drying method. Visual analysis was employed to measure the color brightness values（L^*） of the surface， cross-section and powder of the samples， texture analyzer was used to determine the hardness of the samples under different drying conditions. The total starch content was calculated by measuring the contents of amylose and amylopectin in the samples with ultraviolet-visible spectroscopy. High performance liquid chromatography（HPLC） was used to determine the contents of seven nucleoside components（uracil， hypoxanthine， uridine， inosine， guanosine， β-thymidine and adenosine） in the samples. Pearson correlation analysis was conducted to explore the correlation between the external characteristics and intrinsic indicators of the different dried samples. Principal component analysis（PCA） was used to comprehensively rank the data of various indicators， and partial least squares-discriminant analysis（PLS-DA） was used to screen differential components with variable importance in the projection（VIP） value>1. Furthermore， the difference between the optimal drying condition for Pinelliae Rhizoma and the traditional sun-drying method was explored by independent samples t-test. ResultsWith the increase of temperature， the color of the intermittently dried samples gradually deepened， while their hardness gradually decreased. Concurrently， the contents of extract， total starch， uridine and adenosine exhibited an upward trend， whereas the contents of uracil， hypoxanthine and inosine displayed a downward trajectory. Compared with the intermittent drying group， the content of extract in the samples subjected to lime-assisted sweating increased. With the increase of lime dose， the hardness and the total content of nucleoside components in the samples showed a downward trend， while the total starch content showed an upward trend. Correlation analysis showed that the comprehensive score of L^* was negatively correlated with the contents of uracil， hypoxanthine and inosine， and positively correlated with the contents of uridine， guanosine and adenosine. Hardness was negatively correlated with adenosine content， and positively correlated with the contents of inosine， uracil and hypoxanthine. Through comprehensive consideration and comprehensive score of principal components， the method of 5% lime-mixed sweating for 6 days emerged as the top-ranking approach. Except for the extract， the results of independent samples t-test showed that there was no significant difference between the 5% lime-mixed sweating for 6 days and the traditional sun-drying in terms of other content indicators. ConclusionThe whiteness and firmness of Pinelliae Rhizoma exhibit significant correlations with its chemical composition， while uridine， uracil， guanosine， adenosine and inosine are the key constituents responsible for the quality difference of Pinelliae Rhizoma under different drying conditions. The lime-assisted sweating method optimized in this study can be proposed as a viable alternative to the traditional sun-drying method. This method not only ensures the quality of the medicinal material but also effectively reduces the drying time and prevents mold contamination， which provides a valuable reference for the standardization of drying conditions and the establishment of quality evaluation criteria for Pinelliae Rhizoma.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo establish the fingerprints of 15 batches of Hengzhi Kechuan capsules， to quantitatively analyze 10 index components， and to evaluate the quality uniformity of samples from different batches. MethodsThe fingerprints and quantitative analysis of Hengzhi Kechuan capsules were established by a combination method of high performance liquid chromatography coupled with diode array detector and charged aerosol detector（HPLC-DAD-CAD）， adenosine， guanosine， vanillic acid， safflomin A， agarotetrol， naringin， hesperidin， militarine， ginsenoside Rb₁， and glycyrrhizic acid were selected as quality attribute indexes. A total of 15 batches of Hengzhi Kechuan capsules from 2022 to 2024（3 boxes per batch） were qualitatively and quantitatively analyzed， and the quality uniformity level of the manufacturers was characterized by parameters of intra-batch consistency（P_A） and inter-batch consistency（P_B）. The homogeneity and difference of quality attribute indexes of samples from different years were analyzed by heatmap clustering analysis. ResultsHPLC fingerprints and quantitative method of Hengzhi Kechuan capsules were established， and the methods could be used for qualitative and quantitative analysis of this preparation， which was found to be stable and reliable by method validation. The similarity of fingerprints of 15 batches of samples was 0.887-0.975， a total of 13 common peaks were calibrated， and 10 common peaks were designated， all of which were quality attribute index components. The results of quantitative analysis showed that the contents of the above 10 ingredients in the samples were 0.038-0.078， 0.115-0.251， 0.007-0.018， 0.291-0.673， 0.122-0.257， 0.887-1.905， 1.841-3.364， 1.412-2.450， 2.207-3.112， 0.650-1.161， respectively. And the contents of ginsenoside Rb₁ and glycyrrhizic acid met the limit requirements in the 2020 edition of Chinese Pharmacopoeia. For the samples from 15 batches， the P_A values of the 10 index components were all <10%， indicating good intra-batch homogeneity， and the P_B values ranged from 33.86% to 92.97%， suggesting that the inter-batch homogeneity was poor. Heatmap clustering analysis showed that the samples from different years were clustered into separate categories， and adenosine， guanosine， safflomin A， naringin， hesperidin and agarotetrol were the main differential components. ConclusionThe intra-annual quality uniformity of Hengzhi Kechuan capsules is good and the inter-annual quality uniformity is insufficient， which may be related to the quality difference of Pinellinae Rhizoma Praeparatum， Carthami Flos， Citri Sarcodactylis Fructus， Citri Reticulatae Pericarpium， Aquilariae Lignum Resinatum， Citri Fructus， etc. In this study， the fingerprint and multi-indicator determination method of Hengzhi Kechuan capsules was established， which can be used for more accurate and efficient quality control and standardization enhancement.

Panvascular disease， with vascular diseases as the common pathological feature， is mainly manifested as atherosclerosis. Panvascular disease mainly affects the important organs of the heart， brain， kidney， and limbs. It is one of the leading causes of death for Chinese residents at present. Previously， due to the narrow branches of disciplines， too much attention was paid to local lesions， resulting in the neglect of panvascular disease as a systemic one. The fact that panvascular disease has overall pathology and comprehensive and individualized treatment strategies， makes the disease highly compatible with the principles of holism concept and syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It is believed that blood stasis is the core pathogenesis of atherosclerosis and is involved in the whole process of atherosclerosis. The theories of ''blood vessel''， ''meridians''， ''visceral manifestation''， and ''organs-meridians'' in TCM are helpful to comprehensively understand the complexity of panvascular diseases. Moreover， those theories can provide systematic treatment strategies. The TCM syndromes of panvascular diseases evolve from ''phlegm， stasis， stagnation， and deficiency''. Panvascular arteriosclerosis is related to the syndrome of ''stasis and phlegm''， and the treatment mainly promotes blood circulation and removes phlegm. There are different specific drugs and mechanisms of action for coronary atherosclerosis， cerebral atherosclerosis， and renal artery atherosclerotic stenosis. Panvascular venous lesions are related to the syndrome of ''deficiency and stasis'' in TCM， and the TCM treatment mainly invigorates Qi and promotes blood circulation， which can inhibit venous thrombosis， improve venous ulcers， and resist venous endothelial damage. Panvascular microcirculatory lesions are inseparable from the ''stagnation and stasis'' in TCM， and the treatment mainly promotes Qi and dredges collaterals， which has a good effect on coronary microvascular lesions， diabetic microvascular lesions， pulmonary microvascular lesions， and pancreatic microvascular lesions. Panvascular lymphatic lesions are related to the syndrome of ''water and stasis'' in TCM. The treatment method focuses on promoting blood circulation and water excretion， which can promote lymphangiogenesis and enhance lymphatic reflux. In addition， the combination of TCM and modern technology， especially the application of artificial intelligence， can improve the efficiency of early identification and personalized treatment， resulting in early screening and comprehensive management of panvascular diseases. Therefore， TCM will play a vital role in the prevention and treatment of panvascular diseases.

Panvascular disease， with vascular diseases as the common pathological feature， is mainly manifested as atherosclerosis. Panvascular disease mainly affects the important organs of the heart， brain， kidney， and limbs. It is one of the leading causes of death for Chinese residents at present. Previously， due to the narrow branches of disciplines， too much attention was paid to local lesions， resulting in the neglect of panvascular disease as a systemic one. The fact that panvascular disease has overall pathology and comprehensive and individualized treatment strategies， makes the disease highly compatible with the principles of holism concept and syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It is believed that blood stasis is the core pathogenesis of atherosclerosis and is involved in the whole process of atherosclerosis. The theories of ''blood vessel''， ''meridians''， ''visceral manifestation''， and ''organs-meridians'' in TCM are helpful to comprehensively understand the complexity of panvascular diseases. Moreover， those theories can provide systematic treatment strategies. The TCM syndromes of panvascular diseases evolve from ''phlegm， stasis， stagnation， and deficiency''. Panvascular arteriosclerosis is related to the syndrome of ''stasis and phlegm''， and the treatment mainly promotes blood circulation and removes phlegm. There are different specific drugs and mechanisms of action for coronary atherosclerosis， cerebral atherosclerosis， and renal artery atherosclerotic stenosis. Panvascular venous lesions are related to the syndrome of ''deficiency and stasis'' in TCM， and the TCM treatment mainly invigorates Qi and promotes blood circulation， which can inhibit venous thrombosis， improve venous ulcers， and resist venous endothelial damage. Panvascular microcirculatory lesions are inseparable from the ''stagnation and stasis'' in TCM， and the treatment mainly promotes Qi and dredges collaterals， which has a good effect on coronary microvascular lesions， diabetic microvascular lesions， pulmonary microvascular lesions， and pancreatic microvascular lesions. Panvascular lymphatic lesions are related to the syndrome of ''water and stasis'' in TCM. The treatment method focuses on promoting blood circulation and water excretion， which can promote lymphangiogenesis and enhance lymphatic reflux. In addition， the combination of TCM and modern technology， especially the application of artificial intelligence， can improve the efficiency of early identification and personalized treatment， resulting in early screening and comprehensive management of panvascular diseases. Therefore， TCM will play a vital role in the prevention and treatment of panvascular diseases.

Yigongsan is derived from Xiaoer Yaozheng Zhijue written by QIAN Yi in the Northern Song dynasty， which is the No. 3 formula in the Catalogue of Ancient Famous Classical Formulas（The Second Batch of Pediatrics） released by the National Administration of Traditional Chinese Medicine（TCM） in September 2022， and it can be developed as a class 3.1 new TCM drug. By referring to ancient medical books and modern literature， this study conducted herbal textual research on Yigongsan from five aspects， including historical evolution， origin and processing， dosage conversion， usage and preparation methods， and functional application， then formed the key information table of this formula， in order to provide reference for the development of reference samples and preparations of Yigongsan. Based on the results of the study， it is recommended that Panax ginseng should be removed the basal part of stem（rhizoma）， Poria cocos should be removed the peel， Citrus reticulata should be cut into shreds and Glycyrrhiza uralensis should be used. According to 4.13 g/Qian（钱）， 1 g/slice for ginger， 3 g for each jujube and 300 mL/Zhan（盏）， the doses of Ginseng Radix， Poria， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma， Citri Reticulatae Pericarpium， Zingiberis Rhizoma Recens， Jujubae Fructus were 1.652， 1.652， 1.652， 1.652， 1.652， 5， 6 g， and the total amount was 19.26 g. The decocting method was to crush the medicinal materials into fine powder with 50-80 mesh， add 300 mL of water and decoct to 210 mL for each dose， then remove the dregs and take it warmly. This formula was recorded in ancient books as the main treatment for the cold-deficiency of spleen and stomach， and Qi stagnation in children with vomiting and diarrhea and lack of appetite. It has been flexibly applied by later generations of physicians， and is often used to treat anorexia， inflammation of the digestive tract， diarrhea and other diseases in children.

Objective To investigate the value of computer-assisted quantification of pulmonary embolism volume(PEV)in identifying mild-to-high-risk acute pulmonary embolism(APE).Methods We retrospectively enrolled 143 patients with suspected APE confirmed by computed tomography pulmonary angiography(CTPA)at Yan'an University Affiliated Hospital from January 2017 to December 2020.According to the 2018 Chinese Guidelines for Diagnosis,Treatment and Prevention of Pulmonary Thromboembolism,all the patients were divided into low-risk group(n=88)and mild-to-high-risk group(n=55).We collected the patients'basic demographic data,clinical manifestations,and serum levels of N-terminal-B type natriuretic peptide precursor(NT-proBNP)and D-dimer.Based on CTPA images,the degree of pulmonary thromboembolism was artificially evaluated to obtain the pulmonary artery occlusion index(PAOI).The thrombus was segmented using the pulmonary embolism detection tool based on digital lung,and PEV was calculated.We compared the differences in clinical and laboratory indicators and PAOI and PEV between the two risk groups.We analyzed the value of PAOI and PEV in identifying mild-to-high-risk APE using receiver operating characteristic(ROC)curves,and used Logistic regression analysis to identify independent risk factors in predicting mild-to-high-risk APE.Different models were established.Results Compared with the low-risk group,APE patients in the mild-to-high-risk group were older(P＜0.05),had lower diastolic blood pressure(P＜0.05),higher levels of D-dimer and NT-proBNP(P＜0.05),lower levels of platelet count,arterial oxygen partial pressure and arterial carbon dioxide partial pressure(P＜0.05),and higher levels of PAOI and PEV(P＜0.001).ROC curve analysis showed that the area under the curve for PEV in identifying mild-to-high-risk APE was 0.809(95％CI:0.734-0.884),while that for PAOI was 0.753(95％CI:0.667-0.839).Logistic regression analysis showed that PEV and NT-proBNP were independent risk factors for mild-to-high-risk APE(P＜0.05).Conclusion PEV and NT-proBNP are independent risk factors for mild-to-high-risk APE.

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 analyze the factors affecting the quality of cardiopulmonary resuscitation (CPR) performed by medical staff in hospital and to explore the training methods to enhance their in-hospital emergency response capabilities.Methods:A cross-sectional study was conducted, involving medical staff of intensive care unit (ICU) and general internal medicine wards in China-Japan Friendship Hospital in December 2021. The American Heart Association (AHA) resuscitation quality improvement (RQI) model was used to evaluate the skills of the subjects in performing external chest compressions and bag-mask ventilation on adult and infant simulators. While ICU subjects were undergoing RQI model objective assessment, two instructors also provided subjective scoring for their operations. The study compared the differences in RQI model objective assessment scores between ICU and general internal medicine ward subjects, between doctors and nurses, in the RQI model objective scoring for adult and infant resuscitation, in the scoring differences of different positions for chest compressions, and the differences between traditional subjective scoring and RQI objective scoring when ICU subjects were assessed for compression and ventilation.Results:A total of 75 medical staffs were enrolled, consisting of 50 from the ICU (including 24 doctors and 26 nurses) and 25 from the general internal medicine wards (including 10 doctors and 15 nurses). The ICU medical staff's scores for adult resuscitation skills were significantly higher than those of the general internal medicine ward medical staff [adult compression score: 82.5 (66.0, 96.5) vs. 65.0 (52.5, 74.5), adult ventilation score: 82.0 (68.8, 98.0) vs. 61.0 (48.0, 82.0), both P < 0.01]. The nursing group's compression scores for both adult and infant were significantly higher than those of the doctor group [adult compression score: 77.0 (68.5, 89.5) vs. 63.0 (40.8, 90.3), infant compression score: 54.4±25.1 vs. 41.5±18.5, both P < 0.05]. The compression and ventilation scores for the infant were significantly lower than those for adult resuscitation [compression score: 48 (29, 65) vs. 76 (58, 90), ventilation score: 56 (42, 75) vs. 76 (60, 96), both P < 0.01]. When the rescuer was positioned on the right side of the model, the compression score for the adult significantly increased [79.0 (65.0, 92.0) vs. 65.0 (51.3, 77.0), P < 0.05]. The ICU medical staff's traditional subjective scores of compression and ventilation assessments for adult were significantly higher than the RQI model objective scores [adult compression score: 88.8 (79.4, 92.5) vs. 82.5 (66.0, 95.5), adult ventilation score: 95.0 (80.0, 98.1) vs. 82.0 (68.8, 98.0), both P < 0.01]. Conclusions:Rich experience in emergency rescue is related to the improvement of CPR skills, and performing chest compressions from the right side of the adult model is more effective. Objective scoring of resuscitation skills based on the RQI model may more accurately reflect the performance of the trainees.