Objective To construct a hypertension structured database based on Yi-9B large language model by aiming at the large amount of unstructured data generated in the process of hypertension diagnosis and treatment in order to elevate the efficiency of data management and provide the support for clinical deci-sion-making.Methods The key clinical informations of 114 369 patients with hypertension visiting in the Sec-ond Affiliated Hospital of Army Medical University during 2014-2023 were extracted.The Yi-9B large lan-guage model was used for conducting the entity identification and data structuring,and the database architec-ture was designed for statistical analysis and clinical application.Results After the database structuring process,the mean values of systolic and diastolic blood pressure were(149.98±20.55)mmHg and(86.90±13.75)mmHg,respectively.According to the classification of blood pressure level,the proportions of the nor-mal high value for high risk,very high risk of hypertension grade 1,and very high risk of hypertension grade 2 were the highest,which accounted for 20.73％,27.80％and 19.59％respectively.52.64％of the patients were complicated with heart disease,10.18％with complicating diabetes and 12.71％with complicating hy-perlipidemia.Logistic regression analysis showed that＞50-60 and＞60-70 years old was the high incidence age segment,moreover the systolic blood pressure showed an increasing trend with the age increase,reflecting the universality of hypertension in aging.This database significantly improved the efficiency of diagnosis and treatment in clinical application and realized the efficient analysis and management of data.Conclusion The hyper-tension structured database based on Yi-9B large language model effectively processes the unstructured data,significantly improves the efficiency of data extraction and management,helps to optimize the diagnosis and treatment decision-making,improves the management efficiency and provides the support for intelligent man-agement and personalized diagnosis and treatment.

Objective To construct the predictive model of pressure injury(PI)in the patients with chronic pain based on machine learning,and to analyze its accuracy and rationality,so as to provide an evidence for the predictive evaluation of clinical PI.Methods The clinical medical records data of 396 patients with chronic pain and high risk Braden scores hospitalized in a class 3A hospital of Chongqing City from March 2023 to June 2024 were retrospectively analyzed.Based on the Python3.10 programming language,the decision tree model,random forest model,linear regression model,naive Bayes model and K-Means model were con-structed,and the model performances were compared by accuracy,sensitivity,precision,F1 score and area un-der the receiver operating characteristic(ROC)curve(AUC).Results PI occurred in 35 cases with an inci-dence rate of 8.84%.Age,NRS score,pain site and pain affected sleep were the independent influencing fac-tors for the PI occurrence in the patients with chronic pain.Among 5 kinds of PI risk predictive model,the ac-curacy(0.873),sensitivity(0.874),precision(0.848),F1 score(0.844)and ROC AUC(0.81)of the ran-dom forest model were all higher than those of other models.Conclusion The random forest model has a high predictive performance for PI in the patients with chronic pain,and could be used for the screening and man-agement of high risk groups of PI in the patients with chronic pain.

Objective To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. Methods This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. Results Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P<0.05), but the CI of the 4 plans were similar (P>0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum;the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P<0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P<0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. Conclusion Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.

Objective To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. Methods This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. Results Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P<0.05), but the CI of the 4 plans were similar (P>0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum;the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P<0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P<0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. Conclusion Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.

Objective:To summarize the genotype and clinical characteristics of chylomicron retention disease (CMRD) caused by secretion associated Ras related GTPase 1B (SAR1B) gene variations.Methods:Clinical data and genetic testing results of 2 children with CMRD treated at Children′s Hospital of Fudan University and Jiangxi Provincial Children′s Hospital from May 2022 to July 2023 were summarized. To provide an overview of the clinical and genetic characteristics of CMRD caused by SAR1B gene variations, all of the literature was searched and reviewed from China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, China VIP database, China Biology Medicine disc and PubMed database (up to January 2024) with "chylomicron retention disease" "Anderson disease" or "Anderson syndrome" as the search terms. All relevant literatures were reviewed to summarize the clinical and genetic features of CMRD caused by SAR1B gene variations.Results:One 11-year-old boy and one 4-month-old girl with CMRD. Both patients had lipid malabsorption, failure to thrive, decreased cholesterol, elevated transaminase and creatine kinase, and Vitamin E deficiency, with homozygous variations (c.224A>G) and compound heterozygous variations (c.224A>G and c.554G>T) in SAR1B gene, respectively. Case 1 was followed up for over a month, and he still occasionally experienced lower limb muscle pain. Case 2 was followed up for more than a year, and her had caught up to normal levels. Both patients had no other significant discomfort. Literature search retrieved 0 Chinese literature and 22 English literatures. In addition to the 2 cases reported in this study, a total of 51 patients were identified as CMRD caused by SAR1B gene variations. Twenty-one types of SAR1B variants 10 missense, 4 nonsense, 3 frameshift, 1 in-frame deletion, 1 splice, 1 gross deletion, and 1 gross insertion-deletion were found among the 51 CMRD cases. Among all the patients, 49 cases had lipid malabsorption (43 cases had diarrhea or fatty diarrhea, 17 cases had vomiting, and 12 cases had abdominal distension), 45 cases had lipid soluble Vitamin deficiency (43 cases had Vitamin E deficiency, 10 cases had Vitamin A deficiency, 9 case had Vitamin D deficiency, and 5 cases had Vitamin K deficiency), 35 cases had failure to thrive, 32 cases had liver involvement (32 cases had elevated transaminases, 5 cases had fatty liver, and 3 cases had hepatomegaly), 29 cases had white small intestinal mucosa under endoscopy, and 17 cases had elevated creatine kinase, 14 cases had neuropathy, 5 cases had ocular lesions, 2 cases had acanthocytosis, 1 case had decreased cardiac ejection fraction, and 1 case was symptom-free.Conclusions:Early infancy failure to thrive and lipid malabsorption are common issues for CMRD patients. The laboratory tests are characterized by hypocholesterolemia with or without fat-soluble Vitamin deficiency, elevated liver enzymes and (or) creatine kinase. Currently, missense variations are frequent among the primarily homozygous SAR1B genotypes that have been described.

Objective:This study evaluates the agreement between a new low-load sleep monitoring system, QSA600, based on millimeter-wave radar technology, and polysomnography (PSG) in diagnosing obstructive sleep apnea (OSA).Methods:A total of 155 subjects were recruited for a parallel agreement study in the sleep laboratory of the Department of Otorhinolaryngology Head and Neck Surgery at Shanghai Sixth People′s Hospital from July to September 2023. The subjects underwent simultaneous monitoring with both PSG and the QSA600 system. One hundred and forty-five subjects consisting of 75 males and 70 females included in the final analysis, with an average age of (35.30±12.41) years, an average height of (168.23±8.08) cm, and an average weight of (68.28±13.74) kg. The subjects were divided into four groups based on the apnea-hypopnea index (AHI): <5.0 events/h (non-OSA group, 39 cases), ≥5.0-<15.0 events/h (mild OSA group, 47 cases), ≥15.0-<30.0 events/h (moderate OSA group, 25 cases), and≥30.0 events/h (severe OSA group, 34 cases). Intraclass correlation coefficients (ICC), Pearson correlation coefficients ( r), and Bland-Altman analysis were employed to assess the agreement between the two monitoring techniques regarding AHI and other parameters. Sensitivity and specificity of the QSA600 in diagnosing OSA were evaluated at different AHI thresholds. Statistical analyses were conducted using MATLAB R2022a. Results:Using AHI 5 events/h, 15 events/h and 30 events/h as thresholds, the sensitivity for diagnosing mild, moderate, and severe OSA was 88.68%, 89.83% and 97.06%, respectively. The specificity was 94.87%, 98.84% and 99.10%, respectively. The areas under the receiver operating characteristic (ROC) curve was 0.973 4, 0.990 9 and 0.999 5, respectively. The comparison of key indicators between QSA600 and PSG diagnostic results revealed:a Pearson correlation coefficient of 0.987 2( P<0.001) between the AHI measurement values. The mean difference between the Bland-Altman measurement values of the two was -1.43(95% CI:-8.74-5.88) events/h and the ICC between the two was 0.985 0(95% CI: 0.975 4-0.990 4). Conclusions:As a new low-load sleep monitoring system, QSA600 demonstrates high concordance with traditional PSG in diagnosing OSA and stratifying its severity, which has promising potential for clinical application. (Clinical trial registration number: NCT06038006)

Objective:To design and evaluate the application value of intracavitary-interstitial brachytherapy (IC-ISBT) applicator template for locally advanced cervical cancer.Methods:MRI data of 100 patients with ⅡB-ⅣA stage cervical cancer (International Federation of Gynecology and Obstetrics 2018 staging system) before and after external beam radiation therapy (EBRT) admitted to Sun Yat-sen University Cancer Center from March 2019 to September 2020 were collected. The range of primary cervical lesions was retrospectively analyzed and compared. Based on the residual mass of patients, the corresponding high-risk clinical target volume (HR-CTV) was delineated, and the IC-ISBT applicator template was designed and initially applied to cervical cancer patients. Dosimetry analysis and efficacy evaluation were compared between the applicator template-guided ( n=37) and free-hand implantation groups ( n=63). Chi-square test or Fisher exact test was performed for categorical variables, and t-test or U-test for continuous variables. Results:The median distance between the residual tumor margin (clockwise 3, 6, 9, 12 o'clock) and the center of 100 patients with ⅡB-ⅣA stage cervical cancer after EBRT was 16.5, 14.0, 17.0 and 13.0 mm, respectively. The corresponding HR-CTV was superimposed to reconstruct the three-dimensional diagram, and the cylindrical IC-ISBT applicator template with mushroom-like head was designed and manufactured: the longest and shortest diameter of the head was 35 and 20 mm, respectively; the central channel was adapted to the uterine tube, the C1-C12 channels was arranged in inner circle, and the peripheral B1-B5 and A1-A4 pin channels were expanded bilaterally. In terms of dose coverage, there was no significant difference between the HR-CTV D 90% [(635.12±22.65) vs. (635.80±25.84) cGy], bladder D 2 cm3 [(473.79±44.78) vs. (463.55±66.43) cGy)], rectum D 2 cm3 [(396.99±73.54) vs. (408.00±73.94) cGy] and sigmoid colon D 2 cm3 [(293.07±152.72) vs. (311.31±135.77) cGy] between the template-guided and free-hand implantation groups (all P>0.05), but the HR-CTV D 98% was significantly higher [(544.78±32.07) vs. (536.78±32.04) cGy, P=0.007] and the rectum D 1 cm3 and D 0.1 cm3 were significantly lower [(438.62±69.65) vs. (453.97±67.89) cGy, P=0.016; (519.46±70.67) vs. (543.82±81.24) cGy, P=0.001] in the template-guided implantation group. In addition, there was no significant difference in the complete response rate between two groups (86% vs. 83%, P>0.05). Conclusions:This IC-ISBT applicator template is reasonably designed, and the therapeutic efficacy of the template-guided implantation is equivalent to that of free-hand implantation. The dose coverage of the target area meets the clinical demand with a better protection of the organs at risk. The applicator template has the potential to be widely used as a conventional template in clinical practice as the applicator-guided implantation is convenient to operate and repeat.

Objective To construct a risk prediction model for depression in the patients with posther-petic neuralgia(PHN)based on machine learning algorithm to provide a new idea and method for accurate prediction of depressive state occurrence in clinical PHN patients.Methods The inpatients with PHN in the Second Affiliated Hospital of Army Military Medical University from June 2022 to June 2023 were selected as the study subjects and randomly divided into the training set and test set according to the ratio of 8∶2,and whether or not the depressive state occurring served as the outcome variable.Based on six machine learning al-gorithms of K-Nearest Neighbor(KNN),Decision Tree(DT),Logistic Regression(LR),Naive Bayes(NB),Random Forest(RF)and Support Vector Machine(SVM),a risk prediction model for PHN patients with complicating depressive state was constructed.The model performance was evaluated based on the area under the curve(AUC),accuracy,precision,recall rate and F1 score,and the optimal model was selected.Results A total of 275 PHN patients were included,among them 170 cases developed the depressive state,and the inci-dence rate of depressive state was 61.82％.The AUC values of KNN,DT,LR,NB,RF and SVM models were 0.574,0.589,0.760,0.742,0.591 and 0.733,respectively,among which the AUC value,accuracy,precision,recall rate and F1 score of LR model were the highest.Conclusion The risk prediction model of PHN compli-cating depressive state based on LR machine learning algorithm has the best performance,which is helpful for early clinical assessment and prevention of depressive state.

The incidence of spontaneous abortion （SAB） has been increasing year by year， and its etiology is complex， with limited treatment options， which poses a serious threat to social stability. The "disease-syndrome-therapy" research model can significantly improve the clinical efficacy of traditional Chinese medicine （TCM） for preventing miscarriage， but there has always been a lack of key and recognized diagnostic and treatment evaluation markers， which need to be further explored to establish a scientific and unified evaluation standard system. It is proposed to collect existing "disease-syndrome-therapy" SAB animal models， transplant and improve the model evaluation indicators， evaluate the degree of match between SAB animal models and the clinical characteristics of TCM and Western medicine diseases and syndromes， and compare the advantages and disadvantages of different SAB animal models in terms of construction methods， target selection， and evaluation indicators. In addition， the frontiers of TCM experimental research will be explored. In view of the current status and related bottlenecks of molecular biomarkers research on SAB TCM animal models， a single-cell multimodal omics research strategy will be proposed to break through the related evaluation defects of the "disease-syndrome-therapy" SAB and analyze the differences in various cell types， cell subpopulations， spatiotemporal trajectories， and gene expression in the mother-fetal interface tissue at the single-cell level. This will provide accurate guidance and model animal platform support for the in-depth study of disease-syndrome models， Zang-fu biology， and novel targeted drugs. It will also provide a basis for establishing a stable and repeatable "disease-syndrome-therapy" SAB animal model and evaluation indicator system， which is beneficial for the long-term development of TCM reproductive animal model research.

Objective:To investigate the predictive value of MRI radiologic extranodal extension (rENE) for distant metastasis of prostate cancer (PCa).Methods:The data of 107 patients of initial visit with clinically diagnosed N1 PCa who underwent MRI and 68Ga-prostate specific membrane antigen (PSMA) PET/CT examinations were retrospectively analyzed at Xijing Hospital, Air Force Medical University from January 2017 to April 2022. The rENE was evaluated with MRI. According to the results of 68Ga-PSMA PET/CT, the patients were divided into the distant metastasis group (group M1, 87 cases) and the non-distant metastasis group (group M0, 20 cases). Independent sample t test, Mann-Whitney U test or χ 2 test were used to compare the differences in clinical indicators and rENE between the two groups. The multivariate logistic regression analysis was used to screen the independent risk factors affecting distant metastasis. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of independent risk factors for PCa distant metastasis. Results:In group M1, 72 cases (82.8%) were rENE positive and 15 cases (17.2%) were rENE negative, and in group M0, 7 cases (35.0%) were rENE positive and 13 cases (65.0%) were rENE negative, and there was a statistically significant difference in rENE between the two groups (χ 2=19.20, P<0.001). There were significant differences in total prostate specific antigen level, International Society of Urological Pathology grade and T stage between the group M1 and the group M0 ( P<0.05). Multivariate logistic regression analysis showed that rENE (OR=6.248, 95%CI 1.807-21.600, P=0.004) was an independent risk factor for distant metastasis of PCa, and the area under the ROC curve of rENE in the diagnosis of distant metastasis of PCa was 0.739 (95%CI 0.607-0.871), the sensitivity was 82.8%, and the specificity was 65.0%. Conclusion:rENE is an independent predictor of distant metastasis of PCa, which has a high efficacy. Compared with patients with rENE negative, PCa patients with rENE positive have a higher degree of invasion and are more likely to have distant metastasis.