Objective To compare the value of high-field strength MRI half-Fourier single shot turbo spin-echo(HASTE)sequence with high-frequency color Doppler ultrasound for the diagnosis of placenta previa combined with placenta accreta.Methods A total of 116 pregnant women with suspected high-risk placenta previa and placenta accreta who underwent cesarean section at The No.2 Hospital of Baoding from December 2019 to December 2022 were selected as research objects.All parturients took examinations of ultrasound and high-field MRI before surgery.Pathological diagnosis after cesarean section was used as the gold standard for analysis of the consistency between MRI and ultrasound results and pathological results.The value of HASTE sequence and high-frequency ultrasound in diagnosing placenta accreta was compared.Results Pathological results confirmed that 86 patients had high-risk placenta previa and placenta accreta.The positive predictive values of ultrasound,MRI,and ultrasound+MRI in diagnosis of high-risk placenta previa combined with placenta accreta were 93.51%,97.62%,and 98.81%,respectively.The negative predictive values were 64.10%,87.50%,and 90.63%,respectively.The accuracies were 83.62%,94.83%,and 96.55%,respectively.The sensitivities were 83.72%,95.35%,and 96.51%,respectively.The specificities were 83.33%,93.33%,and 96.67%,respectively.The Kappa values for consistency were 0.611,0.868,and 0.912,respectively.The accuracy of MRI in diagnosis of high-risk placenta previa combined with placenta accreta was higher than that of ultrasound(P<0.05).Conclusion 3.0 T MRI HASTE sequence has greater efficacy and higher accuracy in diagnosis of high-risk placenta previa combined with placenta accreta.

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Geriatric oral health care encounters significant challenges with the increase in the proportion of older individuals. Age-related changes in the dentition, muscles, and joints result in a decline in objective masticatory function, subjective restoration requirements, and acceptability among the elderly population, with individual variations influenced by systemic health. Considering functional requirements, the adaptability of stomatognathic and systemic health conditions, health economics and other factors, the authors believe that it should not be limited to the conventional "one-to-one" strategy for replacing missing teeth in geriatric prosthodontics. There is an urgent need for a precise and adaptable restoration strategy that is more suitable for older individuals. The proposal of a new concept of functional tooth loss updates the minimal restoration standards for elderly patients and establishes the theory of age-friendly functional restoration. Based on the restoration strategy of functional tooth loss, this paper proposes a new concept termed "age-friendly functional restoration of the stomatognathic system", which integrates treatment considerations including endodontics, periodontology, mucosa, muscles, temporomandibular joint, and systemic health. Efforts should be made in four areas as follows. Firstly, the "assessment of accessible function" should be enhanced by considering the interrelationship between stomatognathic and systemic health. Secondly, the "evaluation of appropriate function" is supposed to be optimised in view of subjective needs and objective evaluation of the stomatognathic system. Moreover, the "formulation of treatment plans" needs to be accomplished with the aid of assistive technologies, such as artificial intelligence, to accurately exert appropriate functional restoration. Lastly, the "management and maintenance of health" is likely to be strengthened through follow-ups, propaganda and education, and preventive healthcare, so as to improve quality of life and ultimately achieve healthy ageing among older individuals.
Humans ; Tooth Loss/therapy* ; Aged ; Stomatognathic System ; Oral Health ; Dental Care for Aged ; Dental Restoration, Permanent/methods*

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Background The average sleep quality of mariners during ocean voyages is notably worse than that of the general populace, and the incidence of sleep disorders among them is higher. Sleep disorders closely associate with fatigue and cognitive decline, increasing error and accident rates, and are a major safety hazard in marine navigation. At present, research on factors influencing the sleep quality of mariners during ocean voyages in China is limited and needs further investigation. Objective To investigate the sleep quality of mariners during ocean voyages and analyze its influencing factors, in order to provide reference for constructing sleep intervention plans and mitigating their sleep disorders. Methods Using convenience cluster sampling, a questionnaire survey was carried out in 408 crew members of a fleet who returned from a voyage on March 21, 2024. The questionnaires included a general information questionnaire, Pittsburgh Sleep Quality Index (PSQI) , and Self Rating Anxiety Scale (SAS), and the data were analyzed by SPSS 26.0 software. Results A total of 399 valid questionnaires were collected, with an effective recovery rate of 97.8%. The mean score of PSQI for the mariners during ocean voyages was (6.41±2.44), with 33.6% (134/399) of the mariners reporting sleep disorders. The PSQI scores varied by family structures (t=2.235, P=0.031), labor types (F=3.789, P=0.023), noise exposure (F=53.218, P＜0.001), dietary patterns (F=63.311, P＜0.001), exercise habits (F=16.416, P＜0.001), and anxiety states (t=5.963,P＜0.001). The results of linear regression showed that incomplete family structure (β=0.102, P=0.010), noise exposure (β=0.323, P<0.001), and anxiety (β=0.117, P=0.006) positively associated with the total score of PSQI, while dietary patterns (β=-0.331, P<0.001) and exercise habits (β=-0.147, P<0.001) negatively associated with the total PSQI score, and the 5 variables jointly explained 38.9% of the total variation in the PSQI score (F=37.159, P<0.01). Conclusion The sleep quality of mariners during ocean voyages is relatively low and the incidence of sleep disorders is relatively high, which is jointly influenced by factors such as family structure, noise exposure, dietary habits, exercise habits, and anxiety.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective:To construct an ultra-early limb movement program for elderly hip fracture surgery patients based on evidence-based practice and the Delphi method.Methods:From May to December 2023, the PIPOST Model (population, intervention, professional, outcome, setting, type of evidence) was used to develop evidence-based questions. Relevant databases were searched to obtain, summarize, and evaluate evidence related to ultra-early limb movement after hip fracture surgery in elderly patients. A draft of the movement program was created with the search timeline set until June 1, 2023. A total of 29 experts were invited to participate in two rounds of Delphi expert consultation to finalize the ultra-early limb movement program for elderly hip fracture surgery patients.Results:A total of 20 studies were included, consisting of six guidelines, four expert consensuses, three systematic reviews, and seven original research articles. The response rates for the two rounds of Delphi expert consultation were 100.00% (29/29) and 86.21% (25/29). The expert authority coefficients were 0.931 and 0.920, and the Kendall coordination coefficients were 0.205 and 0.112 (all P<0.01). The final ultra-early limb movement program for elderly hip fracture surgery patients included four modules and 39 operational items. Conclusions:This study develops an evidence-based, expert-validated ultra-early limb movement program for elderly hip fracture surgery patients, demonstrating its necessity, scientific basis, and practicality. The program provides a reference and guidance for clinical staff in facilitating ultra-early movement for hip fracture patients post-surgery.

Shengmai formula,composed of Ginseng Radix et Rhizoma,Ophiopogon Radix and Schisandrae Chinensis Fructus,is a classic and famous formula.It is a representative formula for"supplementing qi,nourishing yin,and generating fluid"in Traditional Chinese Medicine theory.To date,a wide range of Shengmai formulae have been developed according to different medical applications,but the quality evaluation standards are at a relatively low level,and most of them only specify the individual components of a single herb,making it difficult to ensure clinical efficacy and safety.At the same time,the physical and chemical identification methods of Shengmai formula have been constantly updated,allowing for greater progress in research on its main chemical components such as saponins,lignans and flavonoids.However,there is little systematic summarization of the chemical components and analytical methods.Based on the existing references,we systematically summarized ginsenosides,ophiopogonins,schisandra lignans,homoisoflavonoids and some other compounds in this paper,as well as the quality standards of Shengmai formulae and their analytical methods in order to aid clinical research and formulation manufacture.