Alzheimer's disease (AD) is characterized by cognitive and functional deterioration, with pathological features such as amyloid-beta (Aβ) aggregates in the extracellular spaces of parenchymal neurons and intracellular neurofibrillary tangles formed by the hyperphosphorylation of tau protein. Despite a thorough investigation, current treatments targeting the reduction of Aβ production, promotion of its clearance, and inhibition of tau protein phosphorylation and aggregation have not met clinical expectations, posing a substantial obstacle in the development of drugs for AD. Recently, artificial intelligence (AI), computational biology (CB), and systems biology (SB) have emerged as promising methodologies in AD research. Their capacity to analyze extensive and varied datasets facilitates the identification of intricate patterns, thereby enriching our comprehension of AD pathology. This paper provides a comprehensive examination of the utilization of AI, CB, and SB in the diagnosis of AD, including the use of imaging omics for early detection, drug discovery methods such as lecanemab, and complementary therapies like phototherapy. This review offers novel perspectives and potential avenues for further research in the realm of translational AD studies.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

Fangcang shelter hospitals are modular, rapidly deployable facilities that play a vital role in pandemic response by providing centralized isolation and basic medical care for large patient populations. Artificial intelligence (AI) has the potential to transform Fangcang shelter hospitals into intelligent, responsive systems that are capable of significantly improving emergency preparedness, operational efficiency, and patient outcomes. Key application areas include site selection and design optimization, clinical decision support, AI-assisted clinical documentation and patient engagement, intelligent robotics, and operational management. However, realizing AI's full potential requires overcoming several challenges, including limited data accessibility, privacy and governance concerns, inadequate algorithmic adaptability in dynamic emergency settings, insufficient transparency and accountability in AI-driven decisions, fragmented system architectures due to proprietary formats, high costs disproportionate to the temporary nature of Fangcang shelter hospitals, and hardware reliability in austere environments. Addressing these challenges demands standardized data-sharing frameworks, development of explainable and robust AI algorithms, clear ethical and legal oversight, interoperable modular system designs, and active collaboration among multidisciplinary stakeholders.
Artificial Intelligence ; Humans ; Emergency Shelter ; China ; Hospitals ; COVID-19

Objective:To develop a training content framework for hospice volunteers based on the competency model.Methods:This was a qualitative study. A draft of the training content framwork for hospice volunteers was first formed according to results of literature review and qualitative interviews based on the competency model. From December 2023 to March 2024, two rounds of Delphi consultation with 16 experts were conducted to develop the final version of the system, and the weights of each indicator were determined with analytic hierarchy process.Results:Among the 14 consulting experts who completed two rounds of consultation, including 10 females, all held intermediate or above professional titles, and their working years ranged from 10 to 34 years, covering fields of hospice care, nursing management, clinical nursing and nursing education. In two rounds of consultation the expert positive coefficient was 14/16 and 14/14, the expert authority coefficient was 0.882 and 0.893, and the Kendall coordination coefficient of all indicators was 0.109 and 0.161 ( P<0.01), the coefficient of variation was 0-0.31 and 0-0.19, respectively. The final version of the system consisted of 3 first-level indicators, 7 second-level indicators, 20 third-level indicators, and 55 specific training contents. The three first-level indicators were knowledge, skill, role and value, and the weight coefficients were 0.335, 0.313 and 0.352, respectively. Each judgment matrix was consistent. Conclusions:A training content system for hospice care volunteers has been developed in this study, which may be used for medical institutions and organizations to train hospice care volunteers.

Objective To explore the value of ovarian-adnexal reporting and data system(O-RADS)MRI score combined with tumor markers(CA125+HE4)in ovarian tumors.Methods Data from 223 patients with ovarian tumors confirmed by pathology were analyzed retrospectively,including 260 lesions.The Kappa test was used to assess the consistency of O-RADS MRI score between low and high seniority physician groups.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic effi-cacy of O-RADS MRI score combined with tumor markers(CA125+HE4)in ovarian tumors.Results The Kappa value of the O-RADS MRI score between low and high seniority physician groups was 0.803[95%confidence interval(CI)0.746-0.860].The sensitivity based on O-RADS MRI score for distinguishing benign and malignant ovarian tumors was 0.957 and 0.989,the specificity was 0.784 and 0.820,the accuracy was 0.846 and 0.881,the positive predictive value was 0.712 and 0.754,and the negative pre-dictive value was 0.970 and 0.993,and the area under the curve(AUC)was 0.871 and 0.905,respectively in the low and high senior-ity physician groups.Combined with tumor markers(CA125+HE4),the sensitivity and negative predictive value of both low and high seniority physician groups were 1.000.Conclusion The O-RADS MRI score has high diagnostic efficacy and good repeatability in ovarian tumors.Combined with tumor markers CA125 and HE4,the O-RADS MRI score can further improve the diagnostic sen-sitivity.

Objective To explore the value of ovarian-adnexal reporting and data system(O-RADS)MRI score combined with tumor markers(CA125+HE4)in ovarian tumors.Methods Data from 223 patients with ovarian tumors confirmed by pathology were analyzed retrospectively,including 260 lesions.The Kappa test was used to assess the consistency of O-RADS MRI score between low and high seniority physician groups.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic effi-cacy of O-RADS MRI score combined with tumor markers(CA125+HE4)in ovarian tumors.Results The Kappa value of the O-RADS MRI score between low and high seniority physician groups was 0.803[95%confidence interval(CI)0.746-0.860].The sensitivity based on O-RADS MRI score for distinguishing benign and malignant ovarian tumors was 0.957 and 0.989,the specificity was 0.784 and 0.820,the accuracy was 0.846 and 0.881,the positive predictive value was 0.712 and 0.754,and the negative pre-dictive value was 0.970 and 0.993,and the area under the curve(AUC)was 0.871 and 0.905,respectively in the low and high senior-ity physician groups.Combined with tumor markers(CA125+HE4),the sensitivity and negative predictive value of both low and high seniority physician groups were 1.000.Conclusion The O-RADS MRI score has high diagnostic efficacy and good repeatability in ovarian tumors.Combined with tumor markers CA125 and HE4,the O-RADS MRI score can further improve the diagnostic sen-sitivity.

Objective:To develop a training content framework for hospice volunteers based on the competency model.Methods:This was a qualitative study. A draft of the training content framwork for hospice volunteers was first formed according to results of literature review and qualitative interviews based on the competency model. From December 2023 to March 2024, two rounds of Delphi consultation with 16 experts were conducted to develop the final version of the system, and the weights of each indicator were determined with analytic hierarchy process.Results:Among the 14 consulting experts who completed two rounds of consultation, including 10 females, all held intermediate or above professional titles, and their working years ranged from 10 to 34 years, covering fields of hospice care, nursing management, clinical nursing and nursing education. In two rounds of consultation the expert positive coefficient was 14/16 and 14/14, the expert authority coefficient was 0.882 and 0.893, and the Kendall coordination coefficient of all indicators was 0.109 and 0.161 ( P<0.01), the coefficient of variation was 0-0.31 and 0-0.19, respectively. The final version of the system consisted of 3 first-level indicators, 7 second-level indicators, 20 third-level indicators, and 55 specific training contents. The three first-level indicators were knowledge, skill, role and value, and the weight coefficients were 0.335, 0.313 and 0.352, respectively. Each judgment matrix was consistent. Conclusions:A training content system for hospice care volunteers has been developed in this study, which may be used for medical institutions and organizations to train hospice care volunteers.

Pain is one of the most common and unendurable symptoms in cancer patients and a major factor affecting their quality of life.Patient-controlled analgesia(PCA) is an important palliative measure in additional to conventional pharmacological control of pain.Nurses play the primary role in the management of PCA for cancer pain, and their knowledge, attitude and practice about PCA for cancer pain directly affect the effectiveness of cancer pain management.This article summarizes and analyzes the current status of nurses' knowledge, attitude and practice and associated influencing factors, aiming to improve nursing management of PCA, reinforce specialized nursing training, propose recommendations for an expert consensus on PCA for cancer pain and provide a reference for nursing practice in PCA for cancer pain.

A rapid growth and steady expansion has been witnessed in hospice care with initial effects in recent years, however, there are significant differences in practice among different regions, and a systematic and comprehensive summary and analysis are needed. Based on the consolidated framework for implementation research, this paper comprehensively analyzes and summarizes the implementation status of hospice care services from five aspects, including innovation, external setting, internal setting, individual characteristics and implementation process. This paper finds that the main factors contributing to the implementation of this service are the varied and individualized services, active implementation of training, clear division of labor among multidisciplinary teams, diversified service models, and emphasis on service publicity. The main challenges faced by the service are insufficient internal and external incentives, insufficient resources available for manpower and medicines, the level of knowledge, attitude, and practice of service providers needs to be improved, the service process needs to be harmonized, and the quality evaluation system needs to be improved. Relevant institutions at all levels should work together to play a positive role in facilitating factors, overcome obstacles, and further promote the development of hospice care in China.

Objective:To construct an evaluation index system for the quality of hospice care services, so as to provide scientific basis for evaluating the clinical practice quality of hospice care in China.Methods:Based on theories related to medical quality, a primary item pool was constructed through literature analysis. From November to December 2023, the Delphi method was used to conduct two rounds of consultation with 18 hospice care experts from 10 provinces and municipalities directly under the central government, to establish the indicators at all levels of the evaluation index system. The weights and combination weights of indicators at all levels were calculated using the analytic hierarchy process. The expert's positive coefficient was expressed as the effective response rate of the questionnaire. The degree of expert authority was expressed as the expert authority coefficient. The degree of coordination of expert opinions was represented by Kendall's W and coefficient of variation. Results:In the two rounds of expert consultation, the effective response rates of the questionnaires were 88.89% (16/18) and 93.75% (15/16), the expert authority coefficients were 0.885 and 0.897, the kendall's W values of the overall indicators were 0.152 and 0.191 ( P<0.01), and the coefficients of variation of indicators at all levels were 0 to 0.31 and 0 to 0.21, respectively. The final constructed evaluation index system for the quality of hospice care services included seven first level indicators, 22 second level indicators, and 42 third level indicators. Conclusions:The evaluation index system for the quality of hospice care services constructed is scientific, comprehensive, and targeted, which can provide reference for the comprehensive evaluation of hospice care service quality in China.