Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

Objective:To assess the fall risk of hospitalized patients with cardiovascular diseases, analyze the related influencing factors, and construct a prediction model based on machine learning technology, so as to provide a basis for the fall management of hospitalized patients with cardiovascular diseases.Methods:This study was a retrospective cohort study. A total of 450 patients admitted to the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University from June 2017 to June 2024 were selected as the research objects by convenience sampling method. By reviewing electronic medical records, trained nurses extracted the patients' general information and Activities of Daily Living Scale (ADL) scores during hospitalization. Lasso regression was used to screen risk factors, and machine learning libraries were used to construct support vector machine (SVM), decision tree, XGBoost, and neural network models. Bootstrap resampling method and area under the curve (AUC) were used to verify the model performance.Results:Among the 450 patients, there were 261 males and 189 females, with a mean age of (66.0 ± 8.4) years. Among them, 90 patients fell during hospitalization and 360 patients did not fall. The results of Lasso regression showed that ADL score ≤60 points, use of hypnotics, hypokalemia, nighttime toilet visits≥2 times, use of antihypertensive drugs, no caregiver, and history of atrial fibrillation were all risk factors for falls in hospitalized patients with cardiovascular diseases (regression coefficients ranging from 0.61 to 1.20, all P<0.01). Among the machine learning models, XGBoost had the best comprehensive performance (AUC=0.98), which was better than decision tree (AUC=0.66), SVM (AUC=0.95), and neural network (AUC=0.87). Conclusions:The fall risk of hospitalized patients with cardiovascular diseases is jointly affected by physiological, medication and behavioral factors, and the XGBoost model can effectively identify high-risk groups. In actual clinical work, nursing strategies can be optimized in combination with risk factors, and the application of intelligent fall prediction and assessment tools can be promoted.

Objective:To assess the fall risk of hospitalized patients with cardiovascular diseases, analyze the related influencing factors, and construct a prediction model based on machine learning technology, so as to provide a basis for the fall management of hospitalized patients with cardiovascular diseases.Methods:This study was a retrospective cohort study. A total of 450 patients admitted to the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University from June 2017 to June 2024 were selected as the research objects by convenience sampling method. By reviewing electronic medical records, trained nurses extracted the patients' general information and Activities of Daily Living Scale (ADL) scores during hospitalization. Lasso regression was used to screen risk factors, and machine learning libraries were used to construct support vector machine (SVM), decision tree, XGBoost, and neural network models. Bootstrap resampling method and area under the curve (AUC) were used to verify the model performance.Results:Among the 450 patients, there were 261 males and 189 females, with a mean age of (66.0 ± 8.4) years. Among them, 90 patients fell during hospitalization and 360 patients did not fall. The results of Lasso regression showed that ADL score ≤60 points, use of hypnotics, hypokalemia, nighttime toilet visits≥2 times, use of antihypertensive drugs, no caregiver, and history of atrial fibrillation were all risk factors for falls in hospitalized patients with cardiovascular diseases (regression coefficients ranging from 0.61 to 1.20, all P<0.01). Among the machine learning models, XGBoost had the best comprehensive performance (AUC=0.98), which was better than decision tree (AUC=0.66), SVM (AUC=0.95), and neural network (AUC=0.87). Conclusions:The fall risk of hospitalized patients with cardiovascular diseases is jointly affected by physiological, medication and behavioral factors, and the XGBoost model can effectively identify high-risk groups. In actual clinical work, nursing strategies can be optimized in combination with risk factors, and the application of intelligent fall prediction and assessment tools can be promoted.

Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

Objective:To preliminarily explore the clinical value of three-dimensional ultrasound fusion imaging(3DUS FI) visualization technology in guiding precise needle placement during thermal ablation of hepatocellular carcinoma (HCC).Methods:A total of 56 HCC patients (59 lesions)who underwent 3DUS FI guided thermal ablation were retrospectively analyzed in the First Affiliated Hospital of Sun Yat-sen University from November 2019 to December 2021. All patients were collected with three-dimensional ultrasound volume image before ablation which were fused with real-time two-dimensional ultrasound image for registration, and then the tumor and the safety margin of 5 mm were segmented and marked. Finally, the thermal ablation was performed under three-dimensional visualization. Contrast-enhanced CT/MRI was performed 1 month after thermal ablation to evaluate whether the lesion was completely ablated and measure the ablative margin, and the relationship between ablative margin and the incidence of local tumor progression (LTP) was also analyzed.Results:During the ablation, all lesions could be successfully registered and displayed in three-dimension. Postoperative contrast-enhanced ultrasound showed that all lesions were completely ablated. A total of 37 lesions could be evaluated for ablative efficacy and ablative margin based on contrast-enhanced CT/MRI 1 month after themal ablation, of which 32 (86.5%) lesions achieved complete ablation and obtained at least 5 mm ablative margin. During the follow-up period, LTP was occurred in 4 lesions, 3 of the lesions occurred at the ablative margin< 5 mm. Both 1-year and 2-year cumulative LTP rates were all 7.1%. None of patients had serious complications or deaths associated with thermal ablation.Conclusions:3DUS FI real-time guidance technology is feasible and safe in visually guiding precise needle placement during thermal ablation of HCC.

OBJECTIVE To screen the potential active components of Polygonum orientale flower against myocardial ischemia- reperfusion injury （MIRI） in rats based on physiological and pathological states. METHODS SD rats were divided into normal control group， normal administration group， MIRI control group and MIRI administration group， with 5 rats in each group. After drug intervention or modeling and drug intervention， chromatographic separation plasma samples were collected， and chromatographic separation and mass spectrometry data collection were performed by using UPLC-Q-TOF/MS. The prototype components and metabolites were analyzed by comparing the reference substance maps， the maps of each plasma sample， and the relevant literature. At the same time， the common peaks in plasma samples of rats in normal administration group and MIRI administration group were identified. Combined with principal component analysis and orthogonal partial least square-discriminant analysis， the differential transitional components were screened out according to the value of variable importance in the projection （VIP）＞1， to speculate the potential active components of P. orientale flower in rats under physiological and pathological states. The SD rats were divided into control group， MIRI group， positive control group （Compound danshen tablets 0.2 g/kg， 3 times a day）， and potentially active compound groups （10 mg/kg， twice a day）， with 5 rats in each group. The rats in administration groups were given relevant medicine intragastrically， for 3 consecutive days. The activity of superoxide dismutase （SOD）， the leakages of lactate dehydrogenase （LDH）， creatine kinase isoenzyme-MB （CK-MB） and cardiac troponin Ⅰ （cTnⅠ） in plasma were detected after the last administration. RESULTS Twenty-six main chromatographic peaks were obtained from the total ion chromatogram of the extract of P. orientale flower， and 14 of them were determined， including gallic acid， catechin， protocatechuic acid and so on. There were fifteen （including 6 absorbed prototype components and 9 metabolites） and nineteen transitional components （including 6 absorbed prototype components and 13 metabolites） in the plasma sample of normal rats and MIRI rats. Eight transitional components were detected in both normal rats and MIRI rats， and the VIP values of kaempferol glucuronidation metabolites， quercetin carbonylation metabolites and N-p-paprazine to the corresponding peak were higher than 1. Compared with MIRI group， the activities of SOD were increased significantly in the plasma of MIRI rats in each potential active compound group （P＜0.01）， and the leakages of LDH， CK-MB， and cTnⅠ in the plasma of MIRI rats were reduced significantly （P＜0.01）. CONCLUSIONS The potential anti-MIRI active components in extract of P. orientale flower are N-p-paprazine， quercetin， kaempferol and kaempferol-3-O-β-D-glucoside.

Objective: To examine the eating behaviors and associated factors among preschool children from multiple child families, so as to provide a basis for promoting healthy eating habits in this population. Methods: From April to June 2022, a stratified random cluster sampling method was employed to selected 2 647 guardians of preschool children in 11 kindergartens in Tongling City. Parenting style questionnaire, Identification and Management of Feeding Difficulty Questionnaire (IMFeD), Caregiver s Feeding Style Questionnaire (CFSQ) and a self designed questionnaire were administered. Multiple linear regression was performed to analyze the factors influencing eating behaviors among preschool children. Results: In the study, the detection of eating behavior problems among preschool children was 71.4%, and the detection of reduced appetite was the highest (55.6%). The detection rates of anorexia, picky eating, poor eating and improper eating behavior in only child families were higher (60.6%, 41.0%, 32.0%, 19.5%), compared with those in multiple child families (51.7%, 36.4%, 27.2%, 16.6%) ( χ 2=20.05, 5.95, 7.16, 3.92, P < 0.05 ). Among multiple child families, the detection rates of fear of eating and underlying disease were the lowest in 5-<10-year-old group (2.3%, 0.6%) ( χ 2=11.54, 8.51, P <0.05). In multiple child families, the detection rates of picky eating and poor eating habits for the first-born child were higher (42.0%, 32.5%), compared with second born and third born child (34.6%, 25.6%)( χ 2= 6.15, 6.38, P <0.05). The results of multiple linear regression analysis showed that multiplechild families ( β =-1.40), democratic parenting style ( β =-0.07), higher feeding response scores ( β =-0.33) were negatively associated with eating behavior problems among preschool children ( P <0.05). Eating behavior problems among preschool children were positively correlated with less educated mothers [high and junior high school education ( β =0.87), primary school education and below ( β =3.69)], longer average daily screen time ( β =0.10), higher feeding requirements scores ( β =0.64), doting parenting styles ( β =0.21), permissive parenting styles ( β =0.27) and inconsistent parenting styles ( β =0.14)( P <0.05). Conclusion The detection rate of the eating behaviors problems among preschool children is high in schools. Greater attention should be paid to only child and first born child of multiple child families, and appropriate feeding and parenting styles, so as to promote healthy eating habits among this population.

Objective:To analyze the application effects of anchored instruction combined with problem-based learning (PBL) in the clinical teaching of department of gynecology.Methods:Taking the implementation time (June 2020) of anchored instruction combined with PBL in the hospital, 86 clinical interns who entered the department of gynecology before the implementation (from April 2019 to May 2020) were included in control group, and this group adopted traditional teaching method; 82 interns enrolled after the implementation (between June 2020 and December 2020) were selected as observation group and were given new teaching method. The theoretical assessment results, practical operation results, independent learning ability and teaching satisfaction were compared between the two groups after 1 month of training. SPSS 22.0 was used for t test and rank sum test. Results:After 1 month of training, the scores of theoretical assessment results [(81.20±10.64) vs. (73.96±8.25)] and mini-clinical evaluation exercise (Mini-CEX) scale of observation group were significantly higher than those of control group, and the independent learning ability and teaching satisfaction evaluation were significantly better than those of control group ( P<0.05). Conclusion:Anchored instruction combined with PBL can effectively improve the independent learning ability and learning satisfaction of interns in department of obstetrics and gynecology, with good application effects.

Objective:To investigate the efficacy of venetoclax-based combined regimen in treatment of adult patients with acute myeloid leukemia (AML).Methods:The data of 50 adult AML (non-acute promyelocytic leukemia) who received venetoclax-based combined regimen in the First Affiliated Hospital of Xiamen University, Dongguan People's Hospital, the First Hospital of Longyan City, Jieyang People's Hospital from December 2018 to May 2021 were retrospectively analyzed. Different doses venetoclax combined with demethylation drugs or low-dose chemotherapy regimen were used to analyze the therapeutic efficacy. The related factors influencing efficacy were analyzed by using logistic regression.Results:The composite complete remission (CR) rate of 50 AML patients was 62.0% (31/50), the overall response rate (ORR) was 76.0% (38/50); 28 patients achieved effectiveness [CR and partial remission (PR)] after the first cycle and could achieve effectiveness by 3 courses of treatment at the latest. Among 50 patients, 28 cases were newly diagnosed AML, the composite CR rate was 60.8% (17/28), ORR was 78.6% (22/28); 22 cases were recurrent and relapsed, the composite CR rate was 63.6% (14/22), ORR was 72.7% (16/22); and there was no statistically significant difference of ORR between the both groups ( χ2 = 0.23, P = 0.743). Logistic regression multivariate analysis showed age was the only independent influencing factor for the treatment effectiveness ( OR = 8.451, 95% CI 1.306-54.697, P = 0.025). The median duration time of patients receiving venetoclax treatment regimen was 4.5 months (1.1-15.0 months); 16 cases who had treatment effectiveness finally relapsed, the median time of maintaining effectiveness was 5 months (1.1-11.0 months). Additionally, the common treatment-related adverse reactions included bone marrow suppression after treatment, followed by some gastrointestinal reactions like nausea, vomiting and stomachache. In addition, no patient stopped medication for more than 1 week due to bone marrow suppression related complications. Conclusion:Venetoclax-based combined regimen shows a good short-term efficacy in treatment of AML. It is also effective and tolerable for elderly patients receiving reduced dose therapy.

OBJECTIVE To identify an d analyze chemical cons tituents of Pleione yunnanensis with origin of Pleione yunnanensis. METHODS UPLC-Q-Exactive-Plus-Orbitrap-MS was adopted. The determination was performed on Hyperdil GOLD column with mobile phase consisted of 0.1％ formic acid solution-0.1％ formic acid acetonitrile solution （gradient elution ）at the flow rate of 0.3 mL/min. The column temperature was set at 40 ℃，and sample size was 2 µL. The electrospray ion source was adopted，and the scanning range was m/z 100-1 500，and the scanning mode was positive and negative ion exchange mode of full scan+ddMS2. The structure of chemical constituents were determined by using Compound Discoverer 3.1 software，comparing with mzCloud，PubChem network database and OTCML ，on the basis of reference substance and published literatures. RESULTS & CONCLUSIONS A total of 42 chemical constituents were identified （positive ion mode has 24，negative ion mode has 27）， including 13 benzyl succinate glycosides （such as dactylorhin C ，coelovirin A ，militarine），4 phenol glycosides （such as adenosine ， guanosine，gastrodin），3 alkaloids（choline，betaine，berberine），and one flavonoid （nobiletin），7 aromatics（such as DL-lysine ， DL-arginine，DL-glutamine），one sugar （sucrose），3 benzenes（shancigusin H ，shancigusin H isomer ，batatasin Ⅲ）and 10 others （such as p-methoxybenzoic acid ，monomethyl dodecanedioate ，diphenylamine）. Glucose oxybenzyl and some small mole cules are easy to be lost in the cleavage of benzyl succinate glycosides；glycosyl is easy to be lost in the cleavage of phenol glycosides；the cleavage of alkaloids mainly manifest as the cleavage and loss of small molecular substituents ；demethyla- tion reaction is occurred in most flavonoids.