Objective To evaluate the overall implementation of the WS 76-2020 standard in Anhui Province, China and identify and analyze the factors affecting the implementation of the standard, and to provide a basis for the effective implementation and revision of WS 76-2020. Methods According to the requirements of the Notice of the Department of Regulations in National Health Commission on the 2024 assessment of implementation of mandatory standards, an evaluation of radiological health standards was organized and conducted in Anhui Province. The evaluation involved the three dimensions of standard implementation status, technical content of the standards, and effectiveness of standard implementation, with subsequent data analysis. Results The total evaluation score for WS 76-2020 was 87.83 points, indicating that the standard effectively guided the quality control testing of medical X-ray diagnostic equipment. However, stability testing was either underutilized or not performed in practice. The qualified rate of X-ray diagnostic equipment in the province was 94.26%, with equipment performance issues identified as the leading contributor to non-qualified instances. Expert discussions highlighted recommendations particularly concerning the operability, applicability, and scientific rigor of the standard. Conclusion It is recommended to strengthen the dissemination and training for the standard, promote medical institutions to voluntarily conduct stability testing, provide supplementary clarifications or revisions for problematic clauses, and standardize quality control testing techniques for radiological diagnostic equipment.

This study applied the grading of recommendations assessment, development and evaluation(GRADE) system and the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(Eff-iEC) to evaluate the evidence for 12 commonly used Chinese patent medicines for the treatment of osteoporosis, which are frequently recommended in guidelines or expert consensuses. The results showed that Xianling Gubao Capsules/Tablets were rated as C(low-level evidence) according to the GRADE system, and as BA~+B~+(intermediate evidence) according to the Eff-iEC system. Jintiange Capsules were rated as C(low-level evidence) by the GRADE system, and as AA~+B(high-level evidence) by the Eff-iEC system. Gushukang Granules/Capsules were rated as C(low-level evidence) by GRADE system, and as BA~+B~+(intermediate evidence) by Eff-iEC system. Zuogui Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Qianggu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B~+(high-level evidence) by Eff-iEC system. Zhuanggu Zhitong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BA~+B(intermediate evidence) by Eff-iEC system. Jingui Shenqi Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B(high-level evidence) by Eff-iEC system. Quanduzhong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AD~+B~+(low-level evidence) by Eff-iEC system. Epimedium Total Flavones Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AAB~+(high-level evidence) by Eff-iEC system. Yougui Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~(++)B~(+ )(high-level evidence) by Eff-iEC system. Qigu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BB~+B(intermediate evidence) by Eff-iEC system. Liuwei Dihuang Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Overall, the Eff-iEC system provides a more comprehensive assessment of the effectiveness evidence for traditional Chinese medicine(TCM) than the GRADE system. However, it still has certain limitations that hinder its wider promotion and application. In terms of clinical evidence evaluation, both the Eff-iEC and GRADE systems reflect that the current clinical research quality on Chinese patent medicines for the treatment of osteoporosis is generally low. High-quality clinical trials are still needed in the future to further validate clinical efficacy.
Drugs, Chinese Herbal/therapeutic use* ; Osteoporosis/drug therapy* ; Humans ; Nonprescription Drugs/therapeutic use* ; Evidence-Based Medicine ; Medicine, Chinese Traditional

Poor water solubility is the primary obstacle preventing the development of many pharmacologically active compounds into oral preparations. Self-nanoemulsifying drug delivery systems(SNEDDS) have become a widely used strategy to enhance the oral bioavailability of poorly soluble drugs by inducing a supersaturated state, thereby improving their apparent solubility and dissolution rate. However, the supersaturated solutions formed in SNEDDS are thermodynamically unstable systems with solubility levels exceeding the crystalline equilibrium solubility, making them prone to drug precipitation in the gastrointestinal tract and ultimately hindering drug absorption. Therefore, maintaining a stable supersaturated state is crucial for the effective delivery of poorly soluble drugs. Incorporating polymers as precipitation inhibitors(PPIs) into the formulation of supersaturated self-nanoemulsifying drug delivery systems(S-SNEDDS) can inhibit drug aggregation and crystallization, thus maintaining a stable supersaturated state. This has emerged as a novel preparation strategy and a key focus in SNEDDS research. This review explores the preparation design of SNEDDS and the technical challenges involved, with a particular focus on polymer-based S-SNEDDS for enhancing the solubility and oral bioavailability of poorly soluble drugs. It further elucidates the mechanisms by which polymers participate in transmembrane transport, summarizes the principles by which polymers sustain a supersaturated state, and discusses strategies for enhancing drug absorption. Altogether, this review provides a structured framework for the development of S-SNEDDS preparations with stable quality and reduced development risk, and offers a theoretical reference for the application of S-SNEDDS technology in improving the oral bioavailability of poorly soluble drugs.
Solubility ; Administration, Oral ; Polymers/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Emulsions/chemistry* ; Biological Availability ; Animals ; Pharmaceutical Preparations/administration & dosage*

OBJECTIVE: To construct an integrated management model for early screening and diagnosis of PCa based on the Innovative Care for Chronic Conditions Framework (ICCC) and the 1+1 contract-based tiered diagnosis and treatment system (TDTS) in China. METHODS: Based on the 1+1 contract-based TDTS platform, we conducted PCa screening for the male residents aged 60 years and above during health check-ups in Pujin Community Health Center from January 1, 2023 to December 31, 2023. For those with abnormal total prostate-specific antigen (tPSA) ≥ 4 μg/L, we promptly referred them to higher-level hospitals for further diagnosis and treatment via the two-way referral green channel platform and information sharing service using the 1+1 contract model. We further analyzed the relevant data on screening and diagnosis. RESULTS: A total of 4 080 males aged 71.39±5.059 years received PCa screening from January to December 2023. PSA screening was performed in 43.96% of the male residents, revealing 654 cases of PSA abnormality, with a PSA positivity rate of 16.03%, which was higher than that found in the previous large-scale PCa screenings in other regions of China. Among the males with PSA abnormality, 292 (44.65%) expressed their willingness for medical referral, while the others did not seek further medical attention for reasons of being asymptomatic, low awareness of the disease, no accompany for medical visits, and concerns about further costs of diagnosis and treatment. Prostate biopsy was recommended to 154 cases after further examinations, which was accepted by 92 (59.74%). Fifty-eight cases were diagnosed with Pa, and thedetection rate reached 63.04%. CONCLUSION The integrated management model for PSA examination-based early screening and diagnosis of PCa using the 1+1 contract-based TDTS platform is plays a significant role in enhancing people's awareness and knowledge of PCa and improving the early detection rate of the malignancy.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Early Detection of Cancer ; Prostate-Specific Antigen/blood* ; Aged ; China ; Mass Screening ; Middle Aged ; Chronic Disease

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 establish a predictive risk model for acute kidney injury (AKI) in acute myocardial infarction (AMI) patients based on machine learning algorithm and compare with a traditional logistic regression model.Methods:It was a retrospective study. The demographic data, laboratory examination, treatment regimen and medication of AMI patients from July 2011 to December 2016 in Beijing Anzhen Hospital, Capital Medical University were collected. The diagnostic criteria of AKI were based on the AKI diagnosis and treatment guidelines published by Kidney Diseases: Improving Global Outcomes in 2012. The selected AMI patients were randomly divided into training set (70%) and internal test set (30%) by simple random sampling. SelectFromModel and Lasso regression models were used to extract clinical parameters as predictors of AKI in AMI patients. Logistic regression model (model A) and machine learning algorithm (model B) were used to establish the risk prediction model of AKI in AMI patients. DeLong method was used to compare the area under the receiver-operating characteristic (ROC) curve ( AUC) between model A and model B for selecting the best model. Results:A total of 6 014 AMI patients were included in the study, with age of (58.4±11.7) years old and 3 414 males (80.5%). There were 674 patients (11.2%) with AKI. There were 4 252 patients (70.7%) in the training set and 1 762 patients (29.3%) in the test set. The selected twelve clinical parameters by the SelectFromModel and Lasso regression models included the number of myocardial infarctions, ST-segment elevation myocardial infarction, ventricular tachycardia, third degree atrioventricular block, decompensated heart failure at admission, admission serum creatinine, admission blood urea nitrogen, admission peak creatine kinase isoenzyme, diuretics, maximum daily dose of diuretics, days of diuretic use and statins. Logistic regression prediction model showed that AUC for the test set was 0.80 (95% CI 0.76-0.84). The machine learning algorithm model obtained AUC in the test set with 0.82 (95% CI 0.78-0.85).There was no significant difference in AUC between the two models ( Z=0.858, P=0.363), and AUC of the machine learning algorithm predictive model was slightly higher than that of the traditional logistic regression model. Conclusions:The prediction effect of AKI risk in AMI patients based on machine learning algorithm is similar to that of traditional logistic regression model, and the prediction accuracy of machine learning algorithm is better. The introduction of machine learning algorithm model may improve the ability to predict AKI risk.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

The surveillance data of new cases of acute myocardial infarction (AMI) from January 1, 2013, to December 31, 2021, in Tengzhou City, Shandong Province, were used to analyze the incidence rate of AMI and its change trend among residents. The age and gender standardized incidence rate was calculated based on the 7th National Population Census 2020. The Cochran-Armitage trend test was used to analyze the trend of onset time and age. From 2013 to 2021, the crude and standardized incidence rate of total AMI in Tengzhou City declined from 130.07/100 000 and 161.12/100 000 to 76.15/100 000 and 72.77/100 000 ( Z=-13.785 and -20.822, both P<0.001). The crude and standardized incidence rates of males were higher than those of females. In 2016, males aged 45-54 years old and females aged 35-64 years old increased by 33.33%, 103.65%, 106.30%, and 95.75% compared to 2015, and the differences were statistically significant ( χ2=6.512, 4.965, 25.115, and 46.004, all P<0.05). The incidence rate of AMI in men aged<35 and 35-44 years old had an upward trend. From 2013 to 2021, the incidence rate of AMI decreased by 55.15% in urban areas and 36.59% in rural areas ( Z=-8.529 and -11.235, both P<0.001).

Background::Endometriosis (EM) is a complex benign gynecological disease, but it has malignant biological behavior and can invade any part of the body. Clinical manifestations include pelvic pain, dysmenorrhea, infertility, pelvic nodules, and masses. Our previous study successfully detected circulating endometrial cells (CECs) in the peripheral blood of patients with EM. The purpose of this study is to overcome the limitation of cell size in the previous microfluidic chip method, to further accurately capture CECs, understand the characteristics of these cells, and explore the relationship between CECs and the clinical course characteristics of patients with EM.Methods::Human peripheral venous blood used to detect CECs and circulating vascular endothelial cells (CVECs) was taken from EM patients ( n = 34) hospitalized in the Peking University People’s Hospital. We used the subtraction enrichment and immunostaining fluorescence in situ hybridization (SE-iFISH) method to exclude the interference of red blood cells, white blood cells, and CVECs, so as to accurately capture the CECs in the peripheral blood of patients with EM. Then we clarified the size and ploidy number of chromosome 8 of CECs, and a second grouping of patients was performed based on clinical characteristics to determine the relationship between CECs and clinical course characteristics. Results::The peripheral blood of 34 EM patients and 12 non-EM patients was evaluated by SE-iFISH. Overall, 34 eligible EM patients were enrolled. The results showed that the detection rates of CECs were 58.8% in EM patients and 16.7% in the control group. However, after classification according to clinical characteristics, more CECs could be detected in the peripheral blood of patients with rapidly progressive EM, with a detection rate of 94.4% (17/18). In total, 63.5% (40/63) of these cells were small cells with diameters below 5 μm, and 44.4% (28/63) were aneuploid cells. No significant association was found between the number of CECs and EM stage.Conclusion::The number and characteristics of CECs are related to the clinical course characteristics of patients with EM, such as pain and changes in lesion size, and may be used as biomarkers for personalized treatment and management of EM in the future.

Objective:To analyze the incidence and progression of overactive bladder(OAB)symp-toms following radical prostatectomy for prostate cancer patients and to identify related risk factors.Methods:A retrospective study was conducted on 263 local stage prostate cancer patients who underwent radical prostatectomy at Peking University Third Hospital from January 2013 to May 2017.Clinical base-line information,comprehensive imaging features,perioperative parameters,preoperative urinary control status,pathological diagnosis,and the incidence of OAB within one year postoperatively were collected and analyzed.In the imaging features,two parameters were defined:Bladder wall thickness(BWT)and bladder mucosal smoothness(BMS),which were used to predict the occurrence of OAB.Patients were evaluated based on their clinical baseline characteristics,including age,body mass index(BMI),co-morbidities,and prostate-specific antigen(PSA)levels.The imaging characteristics were assessed using preoperative MRI,focusing on BWT and BMS.Perioperative parameters included operative time,blood loss,and length of hospital stay.The OAB symptoms were assessed using the overactive bladder symptom score(OABSS)and the international prostate symptom score(IPSS).These scores were correlated with the postoperative incidence of OAB.Results:Among the 263 patients who underwent radical prostatecto-my,52(19.8％)exhibited OAB within one year postoperatively.Of the 40 patients with preoperative OAB symptoms,17(42.5％)showed remission postoperatively,while 23(57.5％)had persistent symptoms.Additionally,29 patients developed new-onset OAB,accounting for 55.77％of all postopera-tive OAB cases.Univariate analysis indicated that BWT,BMS,OABSS,and IPSS score were all associ-ated with the occurrence of postoperative OAB.Further multivariate analysis identified BMS as an inde-pendent risk factor for long-term OAB(P＜0.001).Conclusion:Long-term postoperative overactive bladder is a common complication following radical prostatectomy.The findings suggest that preoperative MRI measurements of bladder wall thickness and bladder mucosal smoothness during bladder filling phase can predict the risk of OAB occurrence postoperatively.Identifying these risk factors preoperatively can help in counseling patients about potential complications and in developing strategies to mitigate the risk of developing OAB after surgery.Early detection and management of these parameters might improve the quality of life for patients undergoing radical prostatectomy.