Objective: To investigate the health literacy level and its influencing factors among the elderly in Shunyi District, Beijing Municipality, so as to provide the evidence for developing health literacy intervention measures and improving the elderly's health literacy level. Methods: From September to November 2024, permanent residents aged ≥60 years in Shunyi District were selected by a multi-stage random sampling method combined with probability proportionate to size sampling method. The Chinese Elderly Health Literacy Questionnaire was used to conduct face-to-face surveys on basic information, health status, and health literacy. The health literacy level of the elderly was analyzed. Multivariable logistic regression model and decision tree model were used to analyze the influencing factors for health literacy level of the elderly. Results: There were 285 males (47.50%) and 315 females (52.50%). The mean age was (68.91±7.38) years. The health literacy level of the elderly was 14.33%. The literacy levels of basic concepts, basic knowledge, and basic skills were 43.33%, 5.33%, and 50.83%, respectively. The literacy levels of scientific aging concept, intrinsic capacity and geriatric syndromes, healthy lifestyle, information acquisition and self-care, health service utilization and chronic disease management, and safety and first aid were 52.33%, 7.17%, 51.83%, 58.83%, 72.00%, and 4.33%, respectively. Multivariable logistic regression analysis showed that educational level (high school/technical secondary school/technical school and above, OR=2.376, 95%CI: 1.020-5.532), monthly household income per capita (1 000-<3 500 yuan, OR=2.973, 95%CI: 1.349-6.555), residence (urban, OR=3.836, 95%CI: 2.071-7.105), and health attention (relatively concerned, OR=4.164, 95%CI: 1.779-9.742) were influencing factors for health literacy level of the elderly. Decision tree model results showed that educational level, monthly household income per capita, residence, and health attention were influencing factors for health literacy level of the elderly, with residence being the main influencing factor. Elderly people living in urban areas, relatively concerned about health, and with high school/technical secondary school/technical school and above educational level had higher health literacy level (40.00%). Conclusions The health literacy level of the elderly in Shunyi District is mainly affected by educational level, monthly household income per capita, residence, and health attention. It is recommended to focus on rural elderly with lower educational level, monthly household income per capita, and health attention.

Objective:To evaluate the outcomes of minimally invasive therapy for aortic arch pathology after ascending aortic replacement.Methods:A retrospective analysis was conducted at the Department of Cardiovascular Surgery, West China Hospital of Sichuan University from 2016 to 2024. After multidisciplinary discussion, these included patients were evaluated to be at high risk for traditional open surgery. Various minimally invasive repair techniques were employed, including Ⅳb hybrid technique, physician-modified endograft and novel unibody endograft. The study outcomes were technical success, in-hospital and follow-up mortality, stroke, endoleak, and the patency of the supra-aortic vessels.Results:A total of 40 patients(32 males and 8 females) with a median age of 60 years old were included in this study. The technique success rate was 100%, with no deaths or strokes reported. The patency of the supra-aortic vessels was 100%. 10 patients underwent Type Ⅳb hybrid surgery without any endoleaks occurring. Among the 22 patients who received physician-modified endograft, endoleaks were observed in 2 cases. One of these type Ⅰc endoleaks persisted and underwent reintervention. One patient underwent femoral artery replacement due to vascular injury. For the 8 patients who received novel unibody endograft, one case required reintervention due to persistent type Ⅰc endoleaks.Conclusion:With the development of different endovascular techniques and novel branched endograft, patients with aortic arch pathology who are at high risk for redo open surgery can achieve favorable outcomes with various minimal invasive techniques. However, long-term and large-sample follow-up studies are needed for further evaluation.

Objective To verify the efficacy of a domestic human DNA quantification kit based on real-time fluorescence quantitative PCR in detecting the total human DNA concentration,male DNA concen-tration in mixed male/female DNA samples,the degree of DNA degradation and inhibitor tolerance.Methods Samples with different concentrations,different male/female ratios,different concentrations of inhibitors,and different degradation degrees were tested using the domestic human DNA quantification kit based on real-time fluorescence quantitative PCR.This kit was compared with a similar product on the market and was applied to the detection of DNA from real cases.Results This human DNA quan-tification kit can effectively detect human DNA as low as 0.001 65 ng/μL,and 6.25 pg/μL of male DNA in mixed samples with a male-to-female ratio of 1∶15 000.Even when the sample contains as high as 400 ng/μL of humic acid or 1 000 μmol/L of hemin alone,the DNA concentration can still be accurately detected.The degradation index can effectively characterize the degradation degree of the sample.This kit has been successfully applied in forensic practice.Conclusion This human DNA quan-tification kit is accurate and reliable in detection.It can accurately reflect the degradation of DNA and inhibitor tolerance.It has good performance in quantitative accuracy,determination of the male/female ratio in mixed samples,and inhibitor tolerance.It has application potential in forensic case examination.

Objective To explore the ArcCHECK system-based methods for dose verification of ultra-long target for cervical cancer VMAT so as to assure the precision of cervical cancer radiotherapy.Methods A total of 33 patients with ultra-long target(target length≥26 cm)admitted to some hospital for cervical cancer VMAT from 2021 to 2023 were selected retrospectively,and radiotherapy plans were designed for the patients with VMAT technology and verified dosimetrically with different methods.Firstly,the dose distribution data were collected respectively at 5 and 8 cm away from the center of the ArcCHECK system along the bed exit direction,and enrolled into Group Test 1 and Test 2 respectively.Then the ArcCHECK system was flipped 180°,and the dose distribution data were acquired at 8 cm away from the center along the bed exit direction and included into Group Test 3.Dose merging between Group Test 2 and Test 3 with the Merge function was carried out to obtain the dose distribution data which were divided into Group Test 4.The monitor units of Group Test 1,2 and 4 were summarized,and difference analyses were performed on the length of the target area,detection point and irradiation time.Group Test 1,2 and 4 were compared in terms of γ pass rate,normalized dose deviation,confidence limit(CL)of pass rate and acceptance rate(γ pass rate≥95%and γ pass rate≥90%).Spearman's correlation coefficient was used to correlate the parameters such as maximum transverse diameter,length,volume and monitor unit of the target area and expected execution time of the plan.SPSS 19.0 software was used for statistical analysis.Results Group Test 1,2 and 4 had the monitor unit being(758.76±107.63)MU,and had statistically significant differences in length of the target area,detection point and irradiation time(P<0.01).In Group Test 4 γ pass rate under 2%/2 mm criterion did not reach 90%,and in Group Test 1 and 2 γ pass rates under 3%/3 mm and 3%/2 mm criteria both amounted to 95%.Group Test 1,2 and 4 had statistically significant differences in γ pass rate and normalized dose deviation(all P<0.05).In Group Test 1 there were more than 90%of the verification results where γ pass rate≥95%and more than 95%where γ pass rate≥90%under 3%/3 mm criterion.The monitor unit was positively correlated with the maximum transverse diameter,length and volume of the target area,respectively(0.337≤r≤0.568,P<0.05),and the expected execution time of the plan was positively correlated with the volume and monitor unit of the target area,respectively(0.457≤r≤0.517,P<0.01).Conclusion The dose verification method with the target at 5 cm away from the center along the bed exit direction can be applied clinically with high feasibility to the dose verification during the radiotherapy of the cervical cancer VMAT patients with ultra-long target,with the safety of the verification devices ensured effectively.

Objective To observe the efficacy of self-made auxiliary reduction device combined with sinus tarsi approach(STA)in the treatment of Sanders type Ⅱ to Ⅳ calcaneal fractures.Methods A total of 40 patients with Sanders type Ⅱ to Ⅳ calcaneal fractures admitted to our hospital from January to June 2023 were selected and divided into the control group and the observation group by the random number table method,with 20 cases in each group.Patients in the control group underwent surgical treatment with the heel extensile lateral approach(ELA),while patients in the observation group underwent surgical treatment with the auxiliary reduction device combined with STA.The surgical-related indicators,postoperative complications and ankle-foot anatomical indicators of patients in the two groups were compared.The recovery of limb function was evaluated by the American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot scale and Maryland foot function score.Results There was no statistically significant difference in the operation time,postoperative incision drying time,or duration of postoperative pain between the two groups(P>0.05).The postoperative suture removal time of the patients in the observation group was shorter than that of the control group,and the difference was statistically significant(P<0.05).The incidence of skin edge necrosis of incision and the total incidence of complications of patients in the observation group were significantly lower than those in the control group(P<0.05).The B?hler angle and Gissane angle of patients in both groups increased after surgery compared with those before surgery(P<0.05);there was no statistically significant difference in the B?hler angle or Gissane angle after surgery of patients between the two groups(P>0.05).The AOFAS score1 week after surgery of the patients in the observation group was higher than that in the control group(P<0.05),while there were no statistically significant differences in the AOFAS scores or Maryland scores of patients at other time points between the two groups(P>0.05).Conclusion The use of the auxiliary reduction device in surgical treatment with STA for Sanders type Ⅱ to Ⅳ calcaneal fractures can effectively restore the function of the foot and ankle,with short postoperative suture removal time and low incidence of postoperative complications.

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

Objective To explore the ArcCHECK system-based methods for dose verification of ultra-long target for cervical cancer VMAT so as to assure the precision of cervical cancer radiotherapy.Methods A total of 33 patients with ultra-long target(target length≥26 cm)admitted to some hospital for cervical cancer VMAT from 2021 to 2023 were selected retrospectively,and radiotherapy plans were designed for the patients with VMAT technology and verified dosimetrically with different methods.Firstly,the dose distribution data were collected respectively at 5 and 8 cm away from the center of the ArcCHECK system along the bed exit direction,and enrolled into Group Test 1 and Test 2 respectively.Then the ArcCHECK system was flipped 180°,and the dose distribution data were acquired at 8 cm away from the center along the bed exit direction and included into Group Test 3.Dose merging between Group Test 2 and Test 3 with the Merge function was carried out to obtain the dose distribution data which were divided into Group Test 4.The monitor units of Group Test 1,2 and 4 were summarized,and difference analyses were performed on the length of the target area,detection point and irradiation time.Group Test 1,2 and 4 were compared in terms of γ pass rate,normalized dose deviation,confidence limit(CL)of pass rate and acceptance rate(γ pass rate≥95%and γ pass rate≥90%).Spearman's correlation coefficient was used to correlate the parameters such as maximum transverse diameter,length,volume and monitor unit of the target area and expected execution time of the plan.SPSS 19.0 software was used for statistical analysis.Results Group Test 1,2 and 4 had the monitor unit being(758.76±107.63)MU,and had statistically significant differences in length of the target area,detection point and irradiation time(P<0.01).In Group Test 4 γ pass rate under 2%/2 mm criterion did not reach 90%,and in Group Test 1 and 2 γ pass rates under 3%/3 mm and 3%/2 mm criteria both amounted to 95%.Group Test 1,2 and 4 had statistically significant differences in γ pass rate and normalized dose deviation(all P<0.05).In Group Test 1 there were more than 90%of the verification results where γ pass rate≥95%and more than 95%where γ pass rate≥90%under 3%/3 mm criterion.The monitor unit was positively correlated with the maximum transverse diameter,length and volume of the target area,respectively(0.337≤r≤0.568,P<0.05),and the expected execution time of the plan was positively correlated with the volume and monitor unit of the target area,respectively(0.457≤r≤0.517,P<0.01).Conclusion The dose verification method with the target at 5 cm away from the center along the bed exit direction can be applied clinically with high feasibility to the dose verification during the radiotherapy of the cervical cancer VMAT patients with ultra-long target,with the safety of the verification devices ensured effectively.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To analyze the clinical distribution and antimicrobial susceptibility of Ralstonia mannitolilytica strains isolated from clinical specimens at a tertiary hospital in Shanghai.The results could inform better clinical treatment of R.mannitolilytica.Methods A total of 47 R.mannitolilytica isolated from January 2022 to August 2024 were collected.The clinical data of patients from whom these strains were isolated were reviewed and analyzed.Results The 47 strains of R.mannitolilytica were mainly isolated from hematology department(85.1％,40/47)and intensive care unit(4.3％,2/47).In the 47 patients with R.mannitolilytica isolate,83.0％had hematological disease and 85.1％stayed in hospital for at least 28 days.Overall,63.8％of the 47 patients used antibiotics for at least 3 weeks and 76.6％of the patients used at least three types of antibiotics during hospital stay.All of the 47 R.mannitolilytica strains were resistant to aztreonam,while 84.6％,83.3％,70.4％,and 69.6％of the strains were resistant to meropenem,ticarcillin-clavulanate acid,ceftazidime,and piperacillin-tazobactam,respectively,58.7％,55.8％,52.2％,and 42.2％of the strains were resistant to amikacin,tobramycin,cefepime,and imipenem,respectively.In contrast,88.1％,83.3％,82.9％,67.4％and 60.5％of the strains were susceptible to minocycline,doxycycline,cotrimoxazole,ciprofloxacin,and levofloxacin,respectively.Conclusions Most of the R.mannitolilytica strains were multi-drug resistant.The bacteria is more prevalent in patients with hematological disorders and long-term treatment with multiple broad-spectrum antimicrobial agents.