摘要:
BACKGROUNDS: The majority of Chinese people who are nearing the end of their lives prefer to receive home-based palliative care. Telehealth, as a new service model, has the potential to meet the increasing demand for this service, especially in remote areas with limited resources. However, nurse-led telehealth-based palliative care services are still in the pilot implementation phase. Assessing the telehealth readiness among palliative care specialist nurses and identifying associated factors is crucial to facilitate the successful implementation of telehealth services. Therefore, this study aimed to examine TH readiness and its related factors among Chinese palliative care specialist nurses. METHODS: Four hundred nine Chinese palliative care specialist nurses from 28 provinces or municipalities participated in this study between July and August 2022. The Chinese version of Telehealth Readiness Assessment Tools (TRAT-C), and Innovative Self-Efficacy Scale (ISES-C) were used to assess the degree of TH readiness and the levels of innovative self-efficacy. RESULTS: The total score of the TRAT-C was 65.31 ± 9.09, and the total score of ISES was 29.27 ± 5.78. The statistically significant factors that influenced telehealth readiness were the experience of using telehealth platforms or services, the willingness to provide telehealth to patients, and the level of nurses' innovative self-efficacy. The innovative self-efficacy is positively correlated to telehealth readiness (r = 0.482, P < 0.01). These related factors could explain 27.3% of the difference in telehealth readiness. CONCLUSION: The telehealth readiness of Chinese palliative care specialist nurses are at a moderate level. Measures such as providing incentives to promote nurses' innovation self-efficacy by nurse managers, and establishing a comprehensive telehealth training system for palliative care specialist nurses should be taken to facilitate the implementation of telehealth services in the field of palliative care.
关键词:
nuclear security;analysis of risk;FTA;fuzzy comprehensive evaluation
摘要:
Abstract: Spent fuel reprocessing is of great significance to the nuclear fuel cycle and the sustainable development of nuclear energy. At the same time, nuclear security radiation incidents in the spent fuel reprocessing plant are also related to national personal and property safety, which play a pivotal role. In this paper, the spent fuel reprocessing plant is divided into four plant areas: the main process area, the three-waste area, the auxiliary equipment area, and the pre-plant area, which are further subdivided into 12 evaluation units. The expert scoring method is used to score and evaluate the possibility of eight basic nuclear accident types in each area, namely radioactive dispersal device, computer nuclear security, destruction of nuclear facilities, transportation nuclear security, internal threat, potential threat, illegal transfer, and theft. According to the professional titles, length of service, education and other qualifications of experts, different weights are assigned to the experts. The scoring results are applied to the Fault Tree Analysis (FTA) of nuclear security events as the probability of basic events, so as to obtain the risk of each basic event. At the same time, the fuzzy comprehensive evaluation method and probability–mathematical statistics method are used to evaluate each evaluation unit to determine the risk of each evaluation unit and the plant area. There results show that the main process area has the highest risk degree, while the pre-plant area has the lowest risk degree, and there is a 1.5-fold relationship. This research provides theoretical and technical support for the safety management and operation of spent fuel reprocessing plants. The analysis results of this paper can be used as a reference for the proportion of nuclear security protection improvements in each plant area, so as to achieve an efficient safety protection effect. The research method in this paper can be also applicable to other similar places by providing as input the corresponding probability of occurrence to obtain the index of its risk degree, so as to reasonably allocate funds and manpower and reduce risks. Keywords: nuclear security; analysis of risk; FTA; fuzzy comprehensive evaluation
摘要:
Presently, global aging has become increasingly serious, whereas the health concerns brought by aging have become a public issue that warrants an urgent solution from all countries across the world. Therefore, this research paper discusses the influence of neighborhood health on elderly individuals’ health, and extending a realistic basis for the other economies to improve the neighborhood environment and promote the health of the elderly. Based on the data of CHARLS2018, this research paper adopts the samples that fulfill the study requirements (N = 7326). we constructed a comprehensive research framework integrating oprobit regression model, heterogeneity analysis, conditional mixed process(CMP)robustness testing, Furthermore, the KHB decomposition method is implemented to ascertain the influential mechanism of NMH and NPH on the mental- and physical health of elderly persons. The oprobit regression model analysis indicates that NMH 0.434 and NPH 0.550 exert positive influences on the elderly’s mental- and physical health. Meanwhile, the effects of conditional mixed process on NMH and NPH stand at 0.381 and4.372, which are different from the oprobit regression results; thereby, indicating the existence of endogeneity. Afterward, KHB mediating effect confirms that Internet use, gift reciprocity, and charity activity contribute 30.21% and 16.83% to mental- and physical health, respectively. Firstly, the NMH and NPH demonstrate a positive influence on the mental- and physical health of the elder population. However, there exist heterogeneous differences. Secondly, the conditional mixed process deals with the endogeneity of NMH and NPH. Thirdly, social integration, social interaction, and social engagement serve as significant transmission mechanisms for the influences of NMH and NPH on the health of elderly persons.
期刊:
Medical Education Online,2023年28(1):2258000 ISSN:1087-2981
通讯作者:
Xiao, SS;Cao, K
作者机构:
[Lan, Hua; Xiao, Songshu; Yuan, Jing; Zeng, Xiangyang; Xiao, SS] Cent South Univ, Dept Obstet & Gynecol, Third Xiangya Hosp, Changsha, Hunan, Peoples R China.;[Cheng, Yan] Cent South Univ, Second Xiangya Hosp, Dept Pharm, Changsha, Peoples R China.;[Lan, Hua] Univ South China, Dept Obstet & Gynecol, Changsha Cent Hosp, Changsha, Peoples R China.;[Cao, K; Cao, Ke] Cent South Univ, Dept Oncol, Third Xiangya Hosp, Changsha, Hunan, Peoples R China.
通讯机构:
[Cao, K ; Xiao, SS ] C;Cent South Univ, Dept Obstet & Gynecol, Third Xiangya Hosp, Changsha, Hunan, Peoples R China.;Cent South Univ, Dept Oncol, Third Xiangya Hosp, Changsha, Hunan, Peoples R China.
关键词:
Narrative medicine;obstetrics and gynecology;clinical practice;medical education;medical humanities
摘要:
Objective: To explore the effect on empathy skills of integrating narrative medicine instruction into clinical internship undergraduate medical education.Methods: One hundred clinical undergraduate students who were transferred to gynecology and obstetrics in 2016 were selected as subjects and divided into two groups. The control group adopted the traditional practice teaching mode, while the experimental group adopted a narrative medicine integrated with traditional teaching mode. The impact of the narrative medicine course was evaluated using the Davis Empathy Scale, and the students' acceptance of the course was investigated using a self-developed questionnaire.Results: After completion of the rotation, the empathy scores of the experimental group were higher than those of the control group (p < 0.05). Students in the experimental group rated the integration of narrative medicine into the internship class highly, and most students thought that the narrative medicine course was of great benefit with respect to the humanistic quality of medical teaching.Conclusion: The application of narrative medicine teaching in the clinical practice teaching of obstetrics and gynecology promoted students to improve their empathy ability.
通讯机构:
[Li, T ] U;Univ South China, Songlin Coll Architecture & Design Art, Hengyang 421001, Peoples R China.
关键词:
priority restoration areas;restoration priority grade;human demand;ES importance;Dongting Lake Eco-Economic Zone
摘要:
Abstract: The identification of priority restoration areas (PRAs) for ecosystems is a critical step in establishing restoration programs. Because the majority of existing studies focused on improving the ecosystem supply, the PRAs selected are likely to be remote from human demand, and the restoration benefits will not flow to humans. To fill this gap, we constructed an improved framework integrating the ecological restoration projects’ cost and benefits as indicators for choosing PRAs. Then, we identified PRAs for each ecosystem service (ES) with Marxan, and ranked the restoration priority grades according to the superimposed value of PRAs for each ES. Finally, we adjusted the restoration priority grades based on human demand and the concentration of those areas, and chose PRAs with a high ES supply and demand. This framework was applied to the Dongting Lake Eco-Economic Zone, one of China’s most significant ecological restoration project sites. The results indicated that the areas with “high”-, “sub-high”-, and “low”-grade PRAs, based only on the increase in the ES supply, were equal to 82, 410, and 1696 km2, respectively. After considering human demand, the PRAs moved continuously towards places with a high human demand; high-priority areas grew to reach 144 km2, while low-priority areas decreased to 1498 km2. The upgrade of the proposed framework for the identification of PRAs can contribute to increasing human well-being, while also serving as a support tool for environmental restoration management. Keywords: priority restoration areas; restoration priority grade; human demand; ES importance; Dongting Lake Eco-Economic Zone
作者:
Xie, Tian;Wu, Juan;Chen, Wei-Fan;Wei, Yao-Yao;Chen, Krista
期刊:
Disaster Medicine and Public Health Preparedness,2023年17:e502 ISSN:1935-7893
通讯作者:
Wei, YY
作者机构:
[Wu, Juan; Wei, YY; Wei, Yao-Yao; Xie, Tian] Univ South China, Sch Econ Management & Law, Hengyang, Hunan, Peoples R China.;[Chen, Wei-Fan] Penn State Univ, Informat Sci & Technol, State Coll, PA USA.;[Wei, YY; Wei, Yao-Yao] Cent China Normal Univ, Sch Educ, Wuhan, Hubei, Peoples R China.;[Chen, Krista] Penn State Univ, Coll Commun, State Coll, PA USA.
通讯机构:
[Wei, YY ] U;Univ South China, Sch Econ Management & Law, Hengyang, Hunan, Peoples R China.;Cent China Normal Univ, Sch Educ, Wuhan, Hubei, Peoples R China.
摘要:
OBJECTIVE: Major epidemics have had a huge impact on the manufacturing industry. This study aimed to explore knowledge innovation in the field of emergency manufacturing during pandemics with a systematic quantitative analysis. METHODS: Based on the Web of Science (WOS) Core Collection, the bibliometric method and the CiteSpace tool were used. RESULTS: A total of 286 literature were obtained from the WOS database. During coronavirus disease (COVID-19), there was a surge in the number of publications. A new field of research on pandemic-triggered emergency manufacturing is gradually forming with accumulated research output. The analysis of the document co-citation showed how the research on pandemic situations and viruses brought emergency manufacturing into the research scope of scholars, and what attempts were made by the original scholars. Pandemic-triggered research hotspots and research trends in the post-pandemic era mainly boiled down to 3 aspects: technological innovation, material innovation, and management innovation in the field of emergency manufacturing. CONCLUSIONS: COVID-19 strengthened academic exchange and cooperation and promotes knowledge output in this field. This study provides an in-depth perspective for emergency manufacturing research and helps researchers realize the panorama of this field and establish future research directions.
摘要:
AIMS: This study aims to explore the experiences of rehabilitation specialist nurses in providing bowel care to stroke patients and to identify the factors that either facilitate or hinder their practice. DESIGN: This was a descriptive qualitative design study. METHODS: Between May 2022 and October 2022, we conducted in-depth and semi-structured interviews with 12 rehabilitation specialist nurses from two tertiary hospitals in Changsha, China. Thematic analysis was employed to analyse the interview transcripts. FINDINGS: Three key themes were revealed from our analysis: (1) acceptance of bowel care as a process, (2) high level of recognition improves the experience and (3) challenges stemming from limited knowledge and rights. Acceptance of bowel care as a dynamic process, coupled with a high level of recognition, enabled nurses to prioritize the health and safety of patients over personal feelings and achieve professional accomplishments. However, they encountered challenges in terms of professional development and restricted prescribing rights for bowel care. CONCLUSION: The experiences of rehabilitation specialist nurses in providing bowel care are dynamic. These findings have important implications for healthcare improvement, including the need for collaboration with healthcare professionals and nurturing nurses' self-identity, comprehensive training plans, innovative programs and expanding the scope of rehabilitation specialist nurses' rights. IMPACT: This study enhances our understanding of the challenges faced by rehabilitation specialist nurses caring for stroke patients with neurogenic bowel dysfunction. The findings provide insights into how to enhance bowel care experience and develop further in this field. REPORTING METHOD: This study adhered to the EQUATOR guideline and utilized the COREQ checklist. PATIENT OR PUBLIC CONTRIBUTIONS: This study involved participants who were registered nurses, and there were no contributions from patients or public.
作者:
Ding, Hanqi;Wang, Zhiyuan;Huang, Chunhua;Liu, Luyun;Bedra, Komi Bernard
期刊:
Sustainability,2023年15(10) ISSN:2071-1050
通讯作者:
Huang, CH;Wang, ZY
作者机构:
[Huang, Chunhua; Ding, Hanqi] Univ South China, Coll Architecture & Design, Hengyang 421001, Peoples R China.;[Liu, Luyun; Wang, Zhiyuan] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;[Huang, Chunhua] Hunan Hlth City Construction Engn Technol Res Ctr, Hengyang 421001, Peoples R China.;[Bedra, Komi Bernard] Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
通讯机构:
[Huang, CH ] U;[Wang, ZY ] C;Univ South China, Coll Architecture & Design, Hengyang 421001, Peoples R China.;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;Hunan Hlth City Construction Engn Technol Res Ctr, Hengyang 421001, Peoples R China.
关键词:
carbon pressure;economic growth;decoupling effect;driving factors;urban agglomeration in the middle reaches of the Yangtze River
摘要:
Abstract: Coordination between regional economic development and carbon pressure is essential for sustainable regional development. However, existing research on carbon pressure and studies on the relationship between economic growth and carbon pressure needs to be more comprehensive. This study analyzes the decoupling impact of economic growth and carbon pressure in different regions of urban agglomeration in the middle reaches of the Yangtze River by revealing the evolution of the geographical and temporal characteristics of carbon pressure from 2000 to 2020. We investigate the drivers of carbon pressure in the middle reaches of the Yangtze River urban agglomeration using the LMDI index decomposition model. The results show that (1) the carbon pressure in the urban agglomeration of the middle reaches of the Yangtze River and its three sub-city agglomerations shows a declining tendency at the beginning and later exhibits an increasing tendency; (2) from 2000 to 2020, the carbon pressure of the majority of cities increased, with Wuhan and Ezhou in the high carbon pressure area and Ji’an, Fuzhou, and Shangrao in the carbon sink surplus area; (3) the rate of decoupling climbs from 45% to 96% over time, then declines to 67%, and reaches 90% by 2020; and (4) the most prominent influence on carbon pressure in the 31 cities is energy consumption, followed by economic expansion. The research in this paper is beneficial for cities to explore solutions to coordinate economic development and carbon pressure despite the constraints of imposed by the two. Keywords: carbon pressure; economic growth; decoupling effect; driving factors; urban agglomeration in the middle reaches of the Yangtze River
摘要:
AIM: To evaluate and summarize the evidence for prevention and management of enteral feeding intolerance in critically ill patients and provide reference for clinical practice. DESIGN: This study was an evidence summary followed by the evidence summary reporting standard of Fudan University Center for Evidence-based Nursing. METHODS: Current literatures were systematically searched for the best evidence for prevention and management of enteral feeding intolerance in critically ill patients. Literature types included clinical guidelines, best practice information sheets, expert consensuses, systematic reviews, evidence summaries and cohort studies. DATA SOURCES: UpToDate, BMJ Best Practice, Joanna Briggs Institute, Guidelines International Network, National Institute for Health and Care Excellence, Registered Nurses Association of Ontario, Scottish Intercollegiate Guidelines Network, the Cochrane Library, Embase, PubMed, Sinomed, Web of Science, Yi Maitong Guidelines Network, DynaMed, MEDLINE, CNKI, WanFang database, Chinese Medical Journal Full-text Database, European Society for Clinical Nutrition and Metabolism website, the American Society for Parenteral and Enteral Nutrition website were searched from January 2012 to April 2023. RESULTS: We finally identified 18 articles that had high-quality results. We summarized the 24 pieces of best evidence from these articles, covering five aspects: screening and assessment of the risk of enteral nutritional tolerance; formulation of enteral nutrition preparations; enteral nutritional feeding implementation; feeding intolerance symptom prevention and management; and multidisciplinary management. Of these pieces of evidence, 19 were 'strong' and 5 were 'weak', 7 pieces of evidence were recommended in level one and 4 pieces of evidence were recommended in level two. CONCLUSION: The following 24 pieces of evidence for prevention and management of enteral feeding intolerance in critically ill patients were finally recommended. However, as these evidences came from different countries, relevant factors such as the clinical environment should be evaluated before application. Future studies should focus on more specific symptoms of feeding intolerance and more targeted prevention design applications. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: The clinical medical staffs are recommended to take evidence-based recommendations for the implementation of standardized enteral nutrition to improve patient outcomes and decrease gastrointestinal intolerance in critically ill patients. IMPACT: The management of enteral nutrition feeding intolerance has always been a challenge and difficulty in critically ill patients. This study summarizes 24 pieces of the best evidence for prevention and management of enteral nutrition feeding intolerance in critically ill patients. Following and implementing these 24 pieces of evidence is beneficial to the prevention and management of feeding intolerance in clinical practice. The 24 pieces of evidence include five aspects, including screening and assessment of the risk of enteral nutritional tolerance, formulation of enteral nutrition preparations, enteral nutritional feeding implementation, feeding intolerance symptom prevention and management and multidisciplinary management. These five aspects constitute a good implementation process. Screening and assessment of enteral nutritional tolerance throughout intervention are important guarantees for developing a feasible nutrition program in critically ill patients. This study will be benefit to global medical workers in the nutritional management of critically ill patients. REPORTING METHOD: This evidence summary followed the evidence summary reporting specifications of Fudan University Center for Evidence-based Nursing, which were based on the methodological process for the summary of the evidence produced by the Joanna Briggs Institute (JBI). The reporting specifications include problem establishment, literature retrieval, literature screening, literature evaluation, the summary and grading of evidence and the formation of practical suggestions. This study was based on the evidence summary reporting specifications of the Fudan University Center for the Evidence-based Nursing, the register name is 'Best evidence summary for prevention and management of enteral feeding intolerance in critically ill patients', the registration number is 'ES20231823'.
摘要:
With the development of human society and the acceleration of urbanization, the impact of construction projects on the ecological environment is increasingly attracting attention. Conducting an ecological environmental impact assessment of construction projects is crucial to protect the ecological environment and achieve sustainable development. To estimate how construction projects would affect the value of ecosystem services, this paper develops the China Land Use Feature Data Sets (CLUFS) and uses the Beijing "One Line Four Mines" project as an example. Research found that the project's conservation and restoration zone and the landscape construction zone will significantly enhance the ecosystem regulation services value. The conservation and restoration zone will increase by 30% from the current 1.413 billion yuan per year to 1.836 billion yuan per year, and the landscape construction zone will increase by 69% from the current 400 million yuan per year to 676 million yuan per year. The tourism development zone, dominated by urban construction, will result in a decrease in ecosystem regulation services, from 19.26 million yuan per year to 17.60 million yuan per year by 9%. Overall, the "One Line Four Mines" project achieved a balance of ecological value and surplus. The method proposed in this paper for predicting the impact of ecosystem regulation services value on construction projects can be used to quickly evaluate the effects of different planning schemes on the ecosystem services value of land parcels to help urban planning decision-makers control the condition of land use. It can provide new indicators for the ecological environment department to incorporate ecological benefits into the evaluation system of planning schemes and new methods for evaluating the ecological protection effectiveness of projects.
摘要:
INTRODUCTION: To reduce unhealthy lifestyles in China, it is critical to implement effective strategies. Counseling provided by physicians is important for assisting patients in improving their lifestyles, and general practitioners (GPs) are the main providers of lifestyle counseling to patients. However, few studies have focused on the lifestyle counseling practices by GPs in China, particularly in regard to nutrition and physical activity. OBJECTIVE: The aims of this study are: (i) to examine the current practice of Chinese GPs in counseling patients regarding nutrition and physical activity; (ii) to understand the common barriers to such counseling by Chinese GPs; and (iii) to study the association between GPs' personal lifestyle choices and their practices in lifestyle counseling. METHODS: A cross-sectional, self-reported online questionnaire was conducted among GPs in Hunan province, China. A total of 198 GPs completed the questionnaire. RESULTS: The majority of GPs provide nutrition and physical activity counseling to less than 40% of their patients, spending less than three minutes per counseling session. The main reported barriers to counseling on nutrition and physical activity are inadequate time and a lack of knowledge or experience. GPs primarily acquire knowledge through medical books and journals, followed by science popularization. Furthermore, GPs who maintain healthier lifestyle habits, possess a better understanding of lifestyle guidelines, conduct longer office visits, and exhibit higher self-efficacy are more likely to provide counseling to patients. CONCLUSION: This study highlights the need for improvement in nutrition and physical activity counseling among Chinese GPs. GPs' personal nutrition and physical activity habits may measurably influence their counseling practice. We recommend that GPs themselves adopt healthier lifestyle habits to potentially improve their counseling practice. Moreover, proactive measures should be taken to assist GPs in overcoming barriers encountered with lifestyle counseling.
摘要:
Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists. The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families. 7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients. 3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life. Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0. 820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study. Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists. The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families. 7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life.Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients. 3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.Background Subsyndromal delirium (SSD) is a clinical manifestation between delirium and nondelirium. There is no established guideline for diagnosing SSD, with a few different tools used for diagnosis.To construct and verify the risk prediction model for subdelirium syndrome in patients with advanced malignant tumors and explore its application value in risk prediction.A total of 455 patients admitted to the Oncology Department in a tertiary grade A hospital in Hengyang City were recruited from December 2020 to May 2021. They were selected as the modeling group. The model was constructed by logistic regression. A total of 195 patients with advanced malignant tumors from June 2021 to July 2021 were selected to validate the developed model.The predictors incorporated into the model were opioids (odds ratio [OR], 1.818), sleep disorders (OR, 1.783), daily living ability score (OR, 0.969), and pain (OR, 1.810). In the modeling group, the Hosmer-Lemeshow goodness-of-fit test was P = .113, the area under the receiver operating characteristic curve was 0.884, the sensitivity was 0.820, and the specificity was 0.893. In the validation group, the Hosmer-Lemeshow goodness-of-fit test P = .108, the area under the receiver operating characteristic curve was 0.843, the Yuden index was 0.670, the sensitivity was 0.804, and the specificity was 0.866.This model has excellent precision in the risk prediction of subdelirium in patients with advanced malignant tumors.The model we developed has a guiding significance for specialized tumor nurses to care for patients with advanced malignant tumors and improve their quality of life. Subsyndromal delirium (SSD), the precursor of delirium, is a clinical manifestation between delirium and nondelirium characterized by inattention, altered consciousness, and cognitive dysfunction.1 As early as 1983, scholars proposed the concept of SSD2 and began to attach importance to and conduct in-depth research on the subject. It presents only one or several symptoms usually associated with delirium and may or may not progress to delirium.3 Once subdelirium progresses to delirium, it will lead to the cognitive decline of patients and impairment of function, increase the occurrence of nursing adverse events such as falling and tube/intravenous complications, and affect the quality of life of patients.3 It has, however, been classified as part of a neurocognitive disorder known as attenuated delirium syndrome. Studies have found that the incidence of SSD in clinical patients can be 12.6% to 60.9%.4 Studies suggest that 20% to 35% of SSD patients suffer a complete conversion to delirium.5 Some scholars point out that early identification of risk factors of subdelirium is critical for its prevention.6 These factors can result in misdiagnosis and eventually cause the subdelirium to progress to delirium and cause unnecessary hardship for the patients and their families.7,8In recent years, China's research on delirium has gradually increased. However, currently, there is no established guideline for diagnosing SSD, with a few different tools used for diagnosis. Examples include the Intensive Care Delirium Screening Checklist and the Confusion Assessment Method.5 In addition, attempts have been made to develop a tool for predicting subdelirium occurrence, but there is no established standard.9 After searching the existing literature, it was also found that no validated model of SSD, specifically among adults with cancer, currently exists.The objective of the present study was to develop and verify a risk prediction model of subdelirium based on the risk factors related to patients with advanced malignant tumors. Such a tool will allow healthcare providers to treat patients at risk of developing subdelirium well in advance and prevent and reduce its occurrence.The present study was a prospective case-control study. The study protocols were approved by the ethics committees of the First Affiliated Hospital of the University of South China and the partner hospitals. Patients and their families consented and voluntarily participated in the study.
期刊:
Disaster Medicine and Public Health Preparedness,2023年16(6):2458-2463 ISSN:1935-7893
通讯作者:
Wang, ZM
作者机构:
[Gao, Xudong] Wuhan Polytechn Univ, Coll Med & Hlth Sci, Wuhan, Peoples R China.;[Wang, Zhimin; Wang, ZM; Tan, Lingling] Univ South China, Dept Nursing, Affiliated Hosp 2, Hengyang, Peoples R China.;[Kong, Chan] Huazhong Univ Sci & Technol, Tongji Hosp, Gen Med Dept, Tongji Med Coll, Wuhan, Peoples R China.;[Fan, Hongru] Huazhong Univ Sci & Technol, Hosp Wuhan 1, Dept Cardiovasc Dis, Wuhan, Peoples R China.;[Zhang, Juan] Huazhong Univ Sci & Technol, Hosp Wuhan 2, Dept Nursing, Wuhan, Peoples R China.
通讯机构:
[Wang, ZM ] U;Univ South China, Dept Nursing, Affiliated Hosp 2, Hengyang, Peoples R China.
关键词:
bereavement;grief counseling;COVID-19;health care workers
摘要:
Objectives: This research aimed to examine health care workers' grief counseling for bereaved families of Coronavirus disease 2019 (COVID-19) victims in China. Our research may provide a new opportunity to stimulate development of grief counseling in China.Methods: A cross-sectional survey was conducted with 724 health care workers selected by convenience sampling from seven hospitals in Wuhan. Data collection tools included a sociodemographic questionnaire, the skills of grief counseling scale (SGCS), and the attitudes of grief counseling scale (AGCS).Results: The average SGCS score was 18.96±4.66, whose influencing factors consisted of sense of responsibility, frequency of contact with bereaved families, and relevant training (P<0.05). The average AGCS score was 33.36±8.70, whose influencing factors consisted of other grief counseling skills, communication skills, education background, and relevant training (P<0.05).Conclusions: The skills and attitudes toward grief counseling among health care workers combating COVID-19 were at a lower level in Wuhan, China, indicating the need to build a comprehensive grief counseling system, establish a standardized training course, and strengthen the popularization of grief counseling services to the public.
关键词:
Xiangxi UNESCO Global Geopark;SWOT analysis;geosciences popularization;geotourism
摘要:
The Xiangxi UNESCO Global Geopark (XUGG) contained the largest karst red stone forest landscape and the Global Standard Stratotype-section and Points (GSSPs) in the Cambrian System. Those geoheritage contribute to a better understanding of Earth's evolution. Therefore, it is of great significance to conduct geoscience research and geosciences popularization in the XUGG. In this study, we took the XUGG as the research object, and analyzed the situation of the strengths, weaknesses, opportunities and threats in the development process of geopark popular science tourism by using SWOT analysis method, in order to realize the sustainable development of geoparks in popular science tourism. The results show that: the XUGG continent possesses geoheritage, good facilities and unique advantages of popular science development. In the new era, we should optimize the development of popular science tourism in Geoparks, realize the two-way interactive participation of popular science, explore the community participation model of popular science tourism, and promote the development of rustic areas with unique geological resources. Then, it not only facilitates the broadcasting and popularization of earth sciences, but also contributes to the sustainable development of geotourism.
期刊:
Journal of Psychiatric Research,2022年151:205-216 ISSN:0022-3956
通讯作者:
Yang, Fengrui
作者机构:
[Liu, Xinxin; Yang, Fengrui] Univ South China, Affiliated Huaihua Hosp, Dept Anesthesiol, 144 South Jinxi Rd, Huaihua 418000, Peoples R China.;[Chen, Kemin; Yang, Fengrui; Wang, Yuxia; Hou, Zixin; Qing, Jie] Univ South China, Dept Anesthesiol, Affiliated Hosp 1, Hengyang 421001, Peoples R China.;[Han, Mingming] Univ Sci & Technol China, Affiliated Hosp USTC 1, Dept Anesthesiol, Div Life Sci & Med, Hefei 230036, Anhui, Peoples R China.;[Han, Mingming] Johns Hopkins Univ, Dept Anesthesiol & Crit Care Med, Sch Med, Baltimore, MD 21287 USA.
通讯机构:
[Fengrui Yang] D;Department of Anesthesiology, Affiliated Huaihua Hospital, University of South China, Huaihua, 418000, PR China<&wdkj&>Department of Anesthesiology, The First Affiliated Hospital of University of South China, Hengyang, 421001, PR China
摘要:
Pain comorbid with depression occurred frequently in clinical settings. This study aims to explore the molecular mechanism underlying antidepressant and analgetic effect of salvianolic acid B (SalB) in comorbid pain in depression induced by chronic restraint stress (CRS), which associates with GABAergic neuron activation in the amygdala and the ERK-CREB-BDNF signaling pathway. The differentially expressed genes related to comorbid pain in CRS-induced depression were screened through bioinformatics analysis. After CRS treatment for 3 weeks, depression-like behaviors were developed in GAD2-tdT mice. The retrograde tracer cholera toxin B subunit combined with retrograde tracer CTB-488 was injected into the parafascicular nucleus of thalamus to project GABAergic neurons to observe the labeling of neurons in the whole brain. After treatment with SalB and ERK-CREB-BDNF signaling pathway inhibitor, CRS mice showed a variety of depression-like behaviors, accompanied by enhanced activity of GABAergic neurons in the amygdala projecting to parafascicular nucleus of thalamus. BDNF underexpression occurred in the CRS mice. Overexpressed BDNF activated ERK-CREB-BDNF signaling pathway to alleviate comorbid pain in CRS-induced depression. After intraperitoneal injection of SalB, the depression-like behaviors and pain threshold in CRS mice were alleviated, the effects of which could be eliminated by ERK-CREB-BDNF signaling pathway antagonist. Collectively, SalB inhibits the excitation of GABAergic neurons in the amygdala and activates the ERK-CREB-BDNF signaling pathway through the parafascicular nucleus of thalamus, whereby alleviating comorbid pain in CRS-induced depression in mice.