ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Objective To describe and analyze the epidemiological characteristics of scrub typhus in Huai'an, Jiangsu Province from 2006 to 2024 and explore the long-term incidence trend and distribution of high-risk areas, and to formulate targeted prevention and control strategies. Methods The scrub typhus case report data of Huai'an from 2006 to 2024 in the Chinese Disease Prevention and Control Information System were extracted for descriptive analysis. Results A total of 898 cases of scrub typhus were reported in Huai'an, with an average annual incidence rate of 0.96 per 100 000 from 2006 to 2024. There was a turning point in the incidence trend of scrub typhus in 2011. From 2006 to 2011, the annual percentage change (APC) was 47.09% (95% CI: 7.53 - 859.39), and the upward trend was statistically significant (P < 0.05). From 2012 to 2024, the APC was -2.12% (95% CI: -29.09 - 3.75), and the downward trend was not statistically significant. October and November were the high-incidence months, and the total concentration from 2006 to 2024 was 0.93, indicating that scrub typhus had strict seasonality. The circular distribution method estimated that the peak period of the epidemic was from October 11th to November 25th, and the peak day of incidence was November 3rd. Jinhu County was a high-incidence area. The ratio of male to female cases was 1.03. The age group with the highest reported incidence was 40 to < 80 years old. The occupation with the highest proportion was farmers, accounting for 78.03%. Conclusion From 2006 to 2024, scrub typhus in Huai'an shows a peak every 3 - 4 years. Middle-aged and elderly farmers are the key population at risk, and Jinhu County is a key area. In the future, targeted health education should be carried out to effectively control the prevalence of scrub typhus.

OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

Objective:To construct and evaluate a training program for cardiovascular nurse specialists based on a core competency framework.Methods:Among 61 trainees participating in the first training class for cardiovascular nurse specialists organized by a provincial nursing society, a training program focusing on the nine core competencies for cardiovascular nurse specialists was implemented, which consisted of 4-week theoretical and 4-week practical training. The effectiveness of the training program was evaluated using the Kirkpatrick model. Data analyses were performed by using SPSS 26.0. Categorical data were presented as the number of cases; continuous variables in normal distribution were expressed as mean±standard deviation; and continuous variables in non-normal distribution were presented as median (interquartile range) and compared using non-parametric tests.Results:At the reaction level, the satisfaction rates of trainees with the theoretical and practical sections of the training program were 98.36% (60/61) and 95.08% (58/61), respectively. At the learning level, the comprehensive assessment score of the trainees was (83.01±3.39) points, and all of them successfully obtained their completion certificates, with a pass rate of 100.00% (61/61). At the behavior level, the core competencies for cardiovascular nurse specialists were significantly improved after training [the total score increased from 291.00 (254.00, 334.25) to 410.50 (354.50, 433.00), P<0.001]. At the results level, at six months after training, there were significant increases in the number of participants engaging in cardiovascular care practices, clinical nursing education and guidance, leadership roles, and research projects within their units as well as the number of individuals achieving career advancement (all P<0.05). Conclusions:The trainees are highly satisfied with the core competency-focused cardiovascular nurse training program, which can improve core competencies and cardiovascular nursing capabilities, expand the scope of cardiovascular nursing services, and foster the sustained advancement of the participants.

Accessory mitral valve（AMV）refers to the additional valvular structural components connected to the normal mitral valve. It is a rare congenital cardiovascular malformation with an incidence of approximately 1/26 000. Most patients have no obvious symptoms and are often accidentally detected during echocardiography due to the presence of other associated cardiac malformations. The combination of AMV with left ventricular outflow tract（LVOT）vegetations is extremely rare and may be related to infective endocarditis. In this case，a 48-year-old male patient was discovered to have a "cardiac mass" during treatment for a cerebral infarction at an external hospital and was admitted to China-Japan Union Hospital of Jilin University for further diagnosis and treatment. Over the past 3 months，the patient experienced intermittent fever，accompanied by chest tightness and pain during physical exertion. The patient had a history of gout and diabetes. Transthoracic echocardiography（TTE）and transesophageal echocardiography revealed left ventricular outflow tract obstruction，accessory mitral valve（membranous fixed type），and a space-occupying lesion on the ventricular septal side within the left ventricular outflow tract. The final diagnosis of vegetation in the left ventricular outflow tract and accessory mitral valve was confirmed through surgical resection and postoperative pathology. Postoperative TTE showed a significant reduction in the flow velocity and pressure gradient within the left ventricular outflow tract. Echocardiography，with its advantages of simplicity，non-invasiveness，and repeatability，allows for the direct observation of accessory mitral valve and other cardiac abnormalities，evaluation of valve function and hemodynamic changes，and assessment of the left ventricular outflow tract obstruction condition. It facilitates preoperative diagnosis and postoperative follow-up，serving as the gold standard for diagnosing accessory mitral valve.

Objective:To investigate the association between urinary arsenic, selenium, and chromium levels and the risk and predisposing factors of diabetes mellitus in people with previous endemic arsenic exposure.Methods:From September to December 2024, 240 residents in the drinking-water-borne endemic arsenic disease area in Hohhot were taken as the study subjects. They were divided into an exposed group ( n = 91) and a non-exposed group ( n = 149) based on whether they had suffered from arsenism in the past. The exposed group was further divided into diabetes and non diabetes subgroups ( n = 54, 37) based on the prevalence of diabetes, and the diabetes subgroup was further divided into type 1 and type 2 diabetes subgroups ( n = 23, 31) based on the type of diabetes. Questionnaire survey was conducted to investigate the basic situation, measure fasting blood glucose, and determine the levels of arsenic, selenium, and chromium in urine by inductively coupled plasma mass spectrometry. Multivariate logistic regression analysis was used to assess the risk factors of diabetes mellitus. Results:The difference of prevalence of diabetes mellitus was statistically significant between the exposed group and non-exposed group [59.3% (54/91) vs. 41.6% (62/149), χ2 = 7.11, P = 0.008]. The levels of urinary arsenic, selenium, and chromium in the exposed group were higher than those in the non-exposed group ( t = - 2.00, - 2.14, - 2.18, P < 0.05). There were statistically significant differences in urinary arsenic level, body mass index (BMI), the distribution of age, smoking status, and gender between the diabetes patients and non-diabetes patients in the exposed group ( t = 2.20, 3.57, χ2 = 10.76, 5.23, 4.01, P < 0.05). The difference of urinary arsenic levels were statistically significant between patients with type 1 diabetes and type 2 diabetes in the exposed group ( t = - 2.06, P = 0.048). Multivariate logistic regression analysis showed that BMI, age, sex, smoking, and urinary arsenic levels were risk factors for diabetes ( P < 0.05). For every 1-unit increase in urinary arsenic, fasting blood glucose levels increased by 0.057 times (95% CI: 0.018 - 0.103, P = 0.029). Conclusions:There is a significant correlation between the urine arsenic level of people with previous endemic arsenic exposure and diabetes, especially type 2 diabetes. Men, smoking, overweight, age ≥65 years, and high urinary arsenic level are risk factors for diabetes.

Objective·To observe the impact of hip synovitis on the long-term outcomes of free vascularized fibular grafting(FVFG)for osteonecrosis of femoral head(ONFH).Methods·Between October 2001 and December 2013,370 patients diagnosed with ONFH(556 hips)underwent FVFG.Preoperative synovitis was assessed using magnetic resonance imaging(MRI)and quantified with the Hip Inflammation MRI Scoring System(HIMRISS).Patients were divided into no synovitis group,moderate synovitis group,and severe synovitis group.Harris hip scores and the incidence of total hip arthroplasty were collected with an average follow-up duration of 90.5 months(range:5-215 months).Hip survival failure(defined as a Harris hip score lower than 80 at the final follow-up or the occurrence of total hip arthroplasty)was calculated.Multivariable Cox regression analysis was adopted to compare the influence of different degrees of synovial inflammation on long-term prognosis.Results·The proportion of hip survival failure was 28.0％in patients without synovitis and 28.5％in those with moderate synovitis,whereas it was significantly higher(60.4％)in patients with severe synovitis.The results of multivariable Cox regression analysis showed that severe synovitis was an independent risk factor for poor prognosis(HR 2.06,95％CI 1.21-3.53)after adjusting for age,gender,education level,marital status,ONFH type,affected side of ONFH,smoking history,baseline Harris hip score and other hip MRI-based covariates(collapse,bone marrow edema,and degeneration).Conclusion·Severe synovitis in patients with ONFH significantly increases the failure rate of hip preservation after FVFG,and the severity of synovitis should be considered in surgical decision-making.