ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*

Objective To retrospectively analyze multicenter data from domestic sources, aiming to explore the link between intrahepatic cholangiocarcinoma (ICC) tumor size and prognosis, establishing a classification system based on tumor size. Methods Between December 2011 and September 2018, 280 ICC patients from 13 hospitals were included. The tumor size prognosis cutoff was identified by the minimum P-value method, and the classification's overall survival related effectiveness was assessed by Kaplan-Meier analysis. Results All 280 patients were divided into the group of tumor maximum diameter ≤4 cm and >4 cm. Tumor size was confirmed as an independent prognosis factor by multivariate COX regression analysis (HR=2.110, 95% CI: 1.358-3.280). Conclusions The tumor size dichotomy classification system based on the Chinese patient group can expediently predict ICC prognosis and offers an important basis for selecting post-operative individualized adjuvant therapy and follow up plans.

Objective:To explore the biomarkers associated with multiple myeloma in remission phase (MM-RP) in order to provide potential indicators for disease monitoring and prognostic evaluation.Methods:Bone marrow blood samples were prospectively collected from 9 newly diagnosed multiple myeloma (NDMM) patients and 9 MM-RP patients in Beijing Chaoyang Hospital of Capital Medical University from January to October 2020. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed for proteomic analysis in 3 independent experiments, each containing 3 paired NDMM and MM-RP samples. Differentially expressed proteins (DEP) consistently identified across all 3 experiments were considered potential MM-RP biomarkers. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database were used for enrichment analyses of the biological functions of these potential biomarkers. Protein-protein interaction (PPI) networks were constructed using the STRING 11.5 database, and α-2-macroglobulin (α2M) was identified as a hub protein. The UCSC Xena database was utilized, and the overall survival (OS) of MM patients with high or low α2M expression [stratified by the average level of α2M transcriptome sequencing (RNA-seq) data] was analyzed by using Kaplan-Meier. A multivariate Cox proportional hazards model adjusted for age, International Staging System (ISS) stage and treatment regimen was employed to analyze the impact of α2M expression on OS of MM patients. The Human Protein Atlas (HPA) database was used to examine α2M mRNA expression patterns in 33 cancer types. The correlation of drug sensitivity [50% inhibiting concentration ( IC50)] with α2M expression was assessed using pharmacogenomic data from the GSCALite platform. Results:Among 104 proteins consistently identified in 3 proteomic experiments, 34 DEP were found between NDMM and MM-RP (∣fold change∣>1.0 and P < 0.05), including 25 upregulated DEP and 9 downregulated DEP in MM-RP. GO analysis showed that the identified MM-RP potential markers were mainly involved in biological processes such as complement activation and humoral immune response, and the molecular functions mainly involved serine hydrolase activity, serine peptidase activity, etc., and were mainly distributed in secretory granules, blood particles, and other parts; KEGG enrichment analysis showed that biomarkers were mainly enriched in the complement and coagulation cascade pathways. In the human α2M PPI network constructed using data from the STRING database, there were 10 proteins that interacted with α2M, with a connectivity of 7.82, and had direct interactions with 71% of the proteins in the network, the betweenness centrality value was 0.06, and the closeness centrality value was 1, indicating significant network centrality feature of α2M. In the constructed PPI network of α2M protein and DEP screened by proteomics, there were interactions between α2M protein and 11 MM-RP markers screened by proteomics, and the betweenness centrality value of α2M reached 0.50, the closeness centrality value was 0.67, indicating that α2M was at the core position of the PPI network. UCSC Xena analysis revealed that MM patients with low α2M expression (523 cases) had worse OS than those with high expression (336 cases) ( P =0.024). Multivariate Cox regression analysis confirmed that low α2M expression was an independent risk factor for poor OS (compared with high α2M expression: HR = 0.726, 95% CI: 0.550-0.960, P = 0.024). HPA database analysis demonstrated that the α2M expression levels were variable in different types of cancer, its level in glioblastoma multiforme, clear cell renal cell carcinoma, and stomach adenocarcinoma was higher than that in normal tissues (all P < 0.05), and its level in urothelial carcinoma, breast cancer and cervical squamous cell carcinoma was lower than that in normal tissues (all P < 0.05). GSCALite analysis revealed negative correlations between α2M expression level and IC50 values of B-Raf kinase inhibitors, B-Raf V600E inhibitors and dabrafenib mesylate. Conclusions:α2M expression level in MM-RP patients is lower than that in NDMM patients, and its expression level may be related to the prognosis of patients, which is expected to become a novel biomarker reflecting the disease activity of MM.

Pregnancy ; Female ; Humans ; Diabetes, Gestational/diagnosis* ; Retrospective Studies ; Prognosis ; Pregnancy Outcome ; Maternal Age

Objective To establish a nomogram prediction model of hyperuricemia(HUA)onset risk in overweight and obese children and adolescents in order to provide reference for the prevention and treatment of HUA in this population.Methods The clinical data of 1 410 overweight and obese children and adolescents aged 6-17 years old visiting in this hospital from September 2021 to August 2022 were retrospectively analyzed.A total of 987 overweight and obese children and adolescents were randomly extracted according to a ratio of 7:3 to establish the model,and the remaining 423 cases were validated internally.Referring to the definition of high uric acid in"Zhu-futang Practical Pediatrics",the subjects were divided into high uric acid group and non-high uric acid group.The logis-tic regression analysis was used to analyze the influencing factors of HUA in overweight and obese children and adoles-cents.The nomogram model was constructed by using the R language.The area under the receiver operating character-istic(ROC)curve(AUC),decision analysis curve(DIC),clinical impact curve(CIC)and C-index were used to evalu-ate the predictive ability of the model,and the Bootstrap repeated sampling method(taking samples for 1000 times)was used for internal validation of the model.Results The results of multivariate analysis showed that the age(OR=2.324,95％CI:1.155-4.672,P=0.018),gender(OR=0.456,95％CI:0.256-0.810,P=0.007),triglycerides(OR=3.775,95％CI:2.321-6.138,P＜0.001),blood calcium(OR=26.986,95％CI:3.186-228.589,P=0.003)and blood creatinine(OR=1.047,95％CI:1.026-1.070,P＜0.001)were the influen-cing factors of HUA in overweight and obese children and adolescents.AUC of the ROC curve of the model was 0.840,the sensitivity was 0.786,the specificity was 0.762,the Youden index was 0.548,and the C-index was 0.840.The risk probability of DC A was 0.1-0.8,the net benefit rate of both models was＞0,AUC of ROC curve in the internal verification was 0.871.Conclusion The constructed nomogram in this study has a good predictive efficiency for the onset risk of HUA in overweight and obese children and adolescents,and may provide reference for the early diagnosis and treatment of this population.

Background Due to the prominent particularity of medical work,nurses are prone to developing depression,which not only poses a considerable threat to the physical and mental health of nurses,but also affects the quality of nursing to some extent.Occupational stress is a known contributor to depression in nurses,whereas relatively little research has been done to investigate the underlying mediation path.Objective To explore the mediation effect of perceived organizational support and psychological capital on the relationship between occupational stress and depression among nurses,and to provide theoretical references for the prevention and treatment of occupational stress-induced depression in nurses.Methods From March to August 2019,a stratified random sampling method was utilized to select a sample size of 720 nurses in each department of a grade A tertiary hospital in Shandong Province.All subjects were assessed using Effort-Reward Imbalance Questionnaire(ERI),Perceived Organization Support Questionnaire(POS),Psychological Capital Questionnaire(PCQ)and Center for Epidemiologic Studies Depression Scale(CES-D).Pearson correlation was adopted to examine the correlation among above scales,and multilevel mediation analyses were conducted with model 6 in Process macro(version 3.3)for SPSS 26.0 using Bootstrap re-sampling method.Results A total of 658 nurses(91.39%)completed the effective questionnaire survey.ERI score was positively correlated with CES-D score(r=0.499,P<0.01),and negatively correlated with POS and PCQ scores(r=-0.318,-0.275,P<0.01).POS score was positively correlated with PCQ score(r=0.455,P<0.01),and negatively correlated with CES-D score(r=-0.401,P<0.01).PCQ score was negatively correlated with CES-D score(r=-0.567,P<0.01).The total effect value of occupational stress on depression was 0.466(95%CI:0.399～0.534).Perceived organizational support(indirect effect value of 0.027,95%CI:0.006～0.057)and psychological capital(indirect effect value of 0.059,95%CI:0.013～0.120),separately from each other,mediated the relationship between occupational stress and depression,and a chained mediation effect of perceived organizational support and psychological capital was also demonstrated(indirect effect value of 0.051,95%CI:0.031～0.082),accounting for 10.94%of the total effect.Conclusion Occupational stress is a influencing factor of nurses' depression,which can affect the occurrence of depression both directly and indirectly through either separate or chained mediation of perceived organizational support and psychological capital.

Objective:To explore the impact of multimorbidity on disability in older adults, providing a reference for formulating strategies for the management and nursing of multimorbidity and disability in older adults.Methods:Adopting the method of cross-sectional survey research, the data of 6 469 older adults (≥60 years old) were collected from the 2018 Chinese Longitudinal Healthy Longevity Survey database in July 2023, including basic information, chronic disease prevalence, and disability measured by basic activities of daily living (BADL), and instrumental activities of daily living (IADL). They were divided into multimorbidity and non-multimorbidity groups based on whether they had two or more chronic diseases. The propensity score matching (PSM) method was used to match the basic conditions of the two groups of older adults with the proportion of 1∶1. Binary logistic regression was applied to analyze the effects of multimorbidity on BADL disability and IADL disability.Results:Among 6 469 older adults, there were 2 882 males and 3 582 females, with 3 158 aged 60-84 years old and 3 311 aged over 84 years old. BADL disability accounted for 26.5% (1 712/6 469), while IADL disability accounted for 66.8% (4 324/6 469). There were 2 335 patients in the multimorbidity group and 4 134 patients in the non-multimorbidity group. Binary Logistic regression analysis showed that the risk of BADL disability in older adults in multimorbidity group was 1.511 times higher than that in the non-multimorbidity group (95% CI 1.317-1.734, P<0.01); the risk of IADL disability in older adults in the multimorbidity group was 1.618 times higher than that in the non-multimorbidity group (95% CI 1.426-1.835, P<0.01). Conclusions:Multimorbidity would increase the risk of disability in older adults. Relevant authorities should develop relevant interventions and nursing responses to enhance the prevention and management of multimorbidity and disability in older adults.