Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective To explore the mediating role of occupational well-being in the relationship between professional identity and safety behavior among nurses. Methods A total of 1 006 nurses from ten tertiary general hospitals in eight provincial administrative regions were selected as the research subjects using convenient sampling method. Their safety behavior, professional identity and occupational well-being were investigated using Nurse Safety Behavior Scale, Nurse Professional Identity Scale and Occupational Well-being Scale. Structural equation modeling was performed using AMOS 26.0 to examine the mediating effect of occupational well-being in the relationship between professional identity and safety behavior among nurses. Results The scores for safety behavior, professional identity, and occupational well-being were (53.0±6.1), (123.7±21.2) and (90.8±13.1), respectively. Safety behavior was positively correlated with both professional identity and occupational well-being (correlation coefficients were 0.50 and 0.50, respectively, both P<0.01). Professional identity was positively correlated with occupational well-being (correlation coefficient was 0.51, P<0.01). The multiple linear regression analysis results showed that the higher the professional identity and occupational well-being of nurses, the higher the level of safety behavior (both P<0.05). The result of mediating effect shows that the total effect of occupational identity on safety behavior was 0.498 [95% confidence interval (CI) was 0.405-0.576], and occupational well-being played a mediating role between professional identity and safety behavior among nurses with the mediation effect of 0.156 (95%CI was 0.112-0.205), accounting for 31.33% of the total effect. Conclusion The safety behavior of nurses is at a moderate level. Both professional identity and occupational well-being can affect the safety behavior of nurses. Professional identity can increase the safety behavior of nurses by affecting occupational well-being.

Objective To evaluate the diagnostic value of prostate health index(PHI)and prostate health index density(PHID)in identifying intermediate-to high-risk prostate cancer(PCa).Methods Clinical data of 160 treatment-na?ve patients with highly suspected PCa,who underwent initial prostate biopsy in our hospital during Jul.2022 and Feb.2024,were retrospectively analyzed.Data included age,body mass index(BMI),prostate volume(PV),total prostate-specific antigen(tPSA),free PSA(fPSA),[-2]proPSA(p2PSA),PHI and PHID.Biopsy-positive results were stratified according to the EAU D'Amico risk criteria.Receiver operating characteristic(ROC)curve and multivariate logistic regression analysis were employed to assess the diagnostic performance of PHI and PHID in predicting PCa and identifying intermediate-to high-risk PCa.Results There were statistically significant differences in tPSA,p2PSA,PHI and PHID between the negative and positive groups,as well as among the low-,medium-and high-risk groups(P＜0.01).Both PHI and PHID demonstrated good diagnostic performance in predicting PCa(AUC=0.820 8 and 0.875 7,respectively;all P＜0.001),and in identifying intermediate-to high-risk PCa(AUC=0.838 0 and 0.878 3,respectively;all P＜0.001).Compared to the baseline model,the incorporation of PHI and PHID individually into the multivariate model significantly improved the screening performance for PCa(AUC=0.910 and 0.898,respectively;all P＜0.001).Conclusion PHI and PHID exhibit high diagnostic efficacy in screening PCa,particularly in identifying intermediate-to high-risk disease.

Skeletal system and immune system are 2 important systems for maintaining human life.Osteoporosis is a complex pathological change of bone tissue.Immune system disorders have become the cause of osteoporosis through affecting the proliferation and differentiation of osteoblasts and osteoclasts.Innate immunity,adaptive immunity,and cytokines play crucial roles in bone resorption and remodeling by regulating the signaling pathways of osteoblasts and osteoclasts.Therefore,immunoporosis has emerged for studying the inseparable relationship between osteoporosis and immune system.This article reviews the research progresses on immunoporosis,aiming to provide references for immunotherapy of osteoporosis.

Objective:To investigate and assess the situation of popularization and promotion of domestically innovative medical devices in Liaoning Province,so as to provide a basis for promoting the allocation policy of domestically innovation medical devices.Methods:Self-made questionnaire and on-site filling survey were conducted to implement investigation and analysis for the allocation situation of newly medical equipment of 188 medical institutions in 9 demonstration regions of the Project on Regional Application and Demonstration of Innovative Medical Equipment in Liaoning Province from 2015 to 2020.The allocation data of medical equipment between before(from 2015 to 2017)and after the demonstration projects were implemented(from 2018 to 2020)were compared.The occupancy rate of domestically medical devices(referred as"occupancy ratio of domestic device")was used as an evaluation indicator to assess the status of equipment allocation and application before and after the projects of application and demonstration were implemented in the region of innovative equipment for diagnosis and treatment.Results:In the 9 demonstrational regions of Liaoning province,the number of newly added domestic medical devices during the period from 2018 to 2020 increased from 1,608 units between 2015 and 2017 to 1,703 units.The occupancy ratio of newly added domestic devices increased from 72.7%to 84.9%.The occupancy ratio of domestic devices of newly added key equipment increased from 63.0%to 83.4%,and the growth rate reached 20.4%.In different districts and different grades of medical institution,the increase and application of domestically medical devices appeared difference.Conclusion:The occupancy rate of newly added domestically medical devices in 9 demonstration regions in Liaoning province has generally increased.However,there are still imbalances between different regions and different grades of medical institutions.The manufacturers of domestically medical devices still need strengthen brand building and marketing promotion,so as to further enhance market competitiveness of domestically medical devices.

Objective To evaluate the diagnostic value of prostate health index(PHI)and prostate health index density(PHID)in identifying intermediate-to high-risk prostate cancer(PCa).Methods Clinical data of 160 treatment-na?ve patients with highly suspected PCa,who underwent initial prostate biopsy in our hospital during Jul.2022 and Feb.2024,were retrospectively analyzed.Data included age,body mass index(BMI),prostate volume(PV),total prostate-specific antigen(tPSA),free PSA(fPSA),[-2]proPSA(p2PSA),PHI and PHID.Biopsy-positive results were stratified according to the EAU D'Amico risk criteria.Receiver operating characteristic(ROC)curve and multivariate logistic regression analysis were employed to assess the diagnostic performance of PHI and PHID in predicting PCa and identifying intermediate-to high-risk PCa.Results There were statistically significant differences in tPSA,p2PSA,PHI and PHID between the negative and positive groups,as well as among the low-,medium-and high-risk groups(P＜0.01).Both PHI and PHID demonstrated good diagnostic performance in predicting PCa(AUC=0.820 8 and 0.875 7,respectively;all P＜0.001),and in identifying intermediate-to high-risk PCa(AUC=0.838 0 and 0.878 3,respectively;all P＜0.001).Compared to the baseline model,the incorporation of PHI and PHID individually into the multivariate model significantly improved the screening performance for PCa(AUC=0.910 and 0.898,respectively;all P＜0.001).Conclusion PHI and PHID exhibit high diagnostic efficacy in screening PCa,particularly in identifying intermediate-to high-risk disease.

Objective:To investigate and assess the situation of popularization and promotion of domestically innovative medical devices in Liaoning Province,so as to provide a basis for promoting the allocation policy of domestically innovation medical devices.Methods:Self-made questionnaire and on-site filling survey were conducted to implement investigation and analysis for the allocation situation of newly medical equipment of 188 medical institutions in 9 demonstration regions of the Project on Regional Application and Demonstration of Innovative Medical Equipment in Liaoning Province from 2015 to 2020.The allocation data of medical equipment between before(from 2015 to 2017)and after the demonstration projects were implemented(from 2018 to 2020)were compared.The occupancy rate of domestically medical devices(referred as"occupancy ratio of domestic device")was used as an evaluation indicator to assess the status of equipment allocation and application before and after the projects of application and demonstration were implemented in the region of innovative equipment for diagnosis and treatment.Results:In the 9 demonstrational regions of Liaoning province,the number of newly added domestic medical devices during the period from 2018 to 2020 increased from 1,608 units between 2015 and 2017 to 1,703 units.The occupancy ratio of newly added domestic devices increased from 72.7%to 84.9%.The occupancy ratio of domestic devices of newly added key equipment increased from 63.0%to 83.4%,and the growth rate reached 20.4%.In different districts and different grades of medical institution,the increase and application of domestically medical devices appeared difference.Conclusion:The occupancy rate of newly added domestically medical devices in 9 demonstration regions in Liaoning province has generally increased.However,there are still imbalances between different regions and different grades of medical institutions.The manufacturers of domestically medical devices still need strengthen brand building and marketing promotion,so as to further enhance market competitiveness of domestically medical devices.

Objective:To evaluate the cost-effectiveness of hepatitis C screening in general population in China, and find the age group in which hepatitis C screening can achieve the best cost-effectiveness.Methods:A decision-Markov model was constructed by using software TreeAge pro 2019 to simulate the outcomes of hepatitis C disease pregression of 100 000 persons aged 20-59 years. The cost-effectiveness of the strategies were evaluated from societal perspectives by using incremental cost-effectiveness ratio (ICER) and net monetary benefit (NMB). One-way sensitivity analysis and probability sensitivity analysis were used to evaluate the uncertainty of parameters and model.Results:Hepatitis C screening was cost-effective in people aged 20- 59 years and the cost effectiveness was best in age group 40-49 years. Compared with non-screening strategy of hepatitis C in people aged 20-59 years, the incremental cost was 161.24 yuan, the incremental utility was 0.003 6 quality adjusted life years (QALYs)/per person, ICER was 45 197.26 yuan/QALY, ICER was less than the willing payment threshold. The ICER and NMB in all age groups were 42 055.06-53 249.43 yuan/QALY and 96.52-169.86 yuan/per person. Hepatitis C screening in people aged 40-49 years had the best cost-effectiveness. The results of one-way sensitivity analysis showed that the discount rate, anti-HCV detection cost, anti-HCV infection rate and the cost of direct antiviral agents were the main factors influencing economic evaluation. The results of the probability sensitivity analysis indicated that the model analysis was stable.Conclusions:Implementing hepatitis C screening based on medical institutions is cost-effective in people aged 20- 59 years, especially in those aged 40-49 years. Implementing the HCV screening strategy of be willing to test as far as possible in general population can reduce hepatitis C disease burden in China.

Oxalicine B ( 1) is an α-pyrone meroterpenoid with a unique bispirocyclic ring system derived from Penicillium oxalicum. The biosynthetic pathway of 15-deoxyoxalicine B ( 4) was preliminarily reported in Penicillium canescens, however, the genetic base and biochemical characterization of tailoring reactions for oxalicine B ( 1) has remained enigmatic. In this study, we characterized three oxygenases from the metabolic pathway of oxalicine B ( 1), including a cytochrome P450 hydroxylase OxaL, a hydroxylating Fe(II)/α-KG-dependent dioxygenase OxaK, and a multifunctional cytochrome P450 OxaB. Intriguingly, OxaK can catalyze various multicyclic intermediates or shunt products of oxalicines with impressive substrate promiscuity. OxaB was further proven via biochemical assays to have the ability to convert 15-hydroxdecaturin A ( 3) to 1 with a spiro-lactone core skeleton through oxidative rearrangement. We also solved the mystery of OxaL that controls C-15 hydroxylation. Chemical investigation of the wild-type strain and deletants enabled us to identify 10 metabolites including three new compounds, and the isolated compounds displayed potent anti-influenza A virus bioactivities exhibiting IC₅₀ values in the range of 4.0-19.9 μmol/L. Our studies have allowed us to propose a late-stage biosynthetic pathway for oxalicine B ( 1) and create downstream derivatizations of oxalicines by employing enzymatic strategies.

OBJECTIVE: To explore the risk factors of acute respiratory distress syndrome (ARDS) in patients with sepsis and to construct a risk nomogram model. METHODS: The clinical data of 234 sepsis patients admitted to the intensive care unit (ICU) of Tianjin Hospital from January 2019 to May 2022 were retrospectively analyzed. The patients were divided into non-ARDS group (156 cases) and ARDS group (78 cases) according to the presence or absence of ARDS. The gender, age, hypertension, diabetes, coronary heart disease, smoking history, history of alcoholism, temperature, respiratory rate (RR), mean arterial pressure (MAP), pulmonary infection, white blood cell count (WBC), hemoglobin (Hb), platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer, oxygenation index (PaO₂/FiO₂), lactic acid (Lac), procalcitonin (PCT), brain natriuretic peptide (BNP), albumin (ALB), blood urea nitrogen (BUN), serum creatinine (SCr), acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA) were compared between the two groups. Univariate and multivariate Logistic regression were used to analyze the risk factors of sepsis related ARDS. Based on the screened independent risk factors, a nomogram prediction model was constructed, and Bootstrap method was used for internal verification. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to verify the prediction and accuracy of the model. RESULTS: There were no significant differences in gender, age, hypertension, diabetes, coronary heart disease, smoking history, alcoholism history, temperature, WBC, Hb, PLT, PT, APTT, FIB, PCT, BNP and SCr between the two groups. There were significant differences in RR, MAP, pulmonary infection, D-dimer, PaO₂/FiO₂, Lac, ALB, BUN, APACHE II score and SOFA score (all P < 0.05). Multivariate Logistic regression analysis showed that increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score were independent risk factors for sepsis related ARDS [RR: odds ratio (OR) = 1.167, 95% confidence interval (95%CI) was 1.019-1.336; MAP: OR = 0.962, 95%CI was 0.932-0.994; pulmonary infection: OR = 0.428, 95%CI was 0.189-0.966; Lac: OR = 1.684, 95%CI was 1.036-2.735; APACHE II score: OR = 1.577, 95%CI was 1.202-2.067; all P < 0.05]. Based on the above independent risk factors, a risk nomograph model was established to predict sepsis related ARDS (accuracy was 81.62%, sensitivity was 66.67%, specificity was 89.10%). The predicted values were basically consistent with the measured values, and the AUC was 0.866 (95%CI was 0.819-0.914). CONCLUSIONS Increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score are independent risk factors for sepsis related ARDS. Establishment of a risk nomograph model based on these factors may guide to predict the risk of ARDS in sepsis patients.
Humans ; Retrospective Studies ; Alcoholism ; Prognosis ; Respiratory Distress Syndrome ; Pneumonia ; Sepsis ; Intensive Care Units ; Procalcitonin ; Fibrinogen ; ROC Curve